Smart Transportation Market: Growth, Opportunity, Demand and Key Players to 2023

A New fresh research report presented by KD Market research provides a detailed analysis of “Smart Transportation Market” research report will include all the major trends and technologies that play an important role in market growth in the predicted span of 6 years. It also presents the overview of industry players, advantages, challenges the business is going through. The research provides a complete understanding of the “Smart Transportation Market“ in   terms of revenue.

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The Global Smart Transportation Market is expected to reach USD 116.85 Bn by 2023, expanding at a CAGR of 9%. Technological advancements are transforming the way people travel. Nowadays, vehicles are connected by an array of sensors, which guides them in traffic, and is very useful for vehicle management. With the advent of the Internet of Things (IoT), the vision of safe transportation is evolving at a rapid pace. Utilization of smart technologies with the intention of building smart cities is frantically expanding across the world. Over 1 billion connected things are installed around the globe under smart cities’ project initiatives.

Smart transportation is a seen as a major part of the smart city projects where infrastructures are playing an important role in providing a platform to implement a connected ecosystem. With the rise in urbanization globally, investments are pouring into the smart transportation market. The US Department of Transportation invested approximately USD 160 Bn in 2016 for smart cities solutions. These projects are intended to provide better parking and traffic management solutions.

Worldwide popularity of cloud-based technologies and related solutions are driving the adoption of smart transportation. The automotive industry is adopting cloud technology for navigation, social connection, infotainment, etc. Moreover, the data collected enhances the qualitative analysis of current transportation infrastructure and helping in the implementation of advanced solutions and increase safety. The continuous demand for improvement in public transport facilities, and safety is driving the smart transportation business.

The emerging trend of smart connected technology is boosting the acceptance of smart vehicles. The demand for smart parking is ever increasing due to massive traffic congestion and lack of parking space caused by growing number of vehicles. Using smart sensors and parking meters helps drivers check for free parking space and reserve it in advance.

Key growth factors

The rise in population and urbanization across the world is increasing the need for an improved transport system for public purpose. Governments are taking initiatives in the development of smart transport network which is bringing investments for the development of smart transportation networks.

Smart transportation is ensuring public safety as the prior availability of traffic and speed related information is reducing the number of accidents and delay. Smart transportation is environment-friendly and helps in keeping the ecosystem clean and safe. A smart vehicle reduces harmful vehicle emissions, which is a step towards a safe environment. These are some of the critical factors which are driving the market for the adaptation of smart transportation.  

Threats and key players

High initial investment is required to improve the existing infrastructure of the transportation industry, which is obstructing the adoption of smart transportation. Improvement of existing roads or rail networks needs long time which creates an obstacle for the commuter and affects day to day communication. Large projects often require substantial financial investments, which is also a significant challenge for the smart transportation market players.

The complexity of infrastructure and limited availability of data which can monitor transportation system is restraining the adoption of smart technology in the transportation industry. Lack of internet penetration in developing and underdeveloped countries is seen as a major challenge. The key players in the Global Smart Transportation Market are Siemens AG, Cubic Corporation, IBM, Accenture PLC, Cisco Systems, Xerox Corporation, General Electric Company, LG CNS, Thales Group, and Alstom SA

What’s covered in the report?

1. Overview of the global smart transportation market.

2. The current and forecasted regional (North America, Europe, Asia-Pacific, Latin America, the Middle East and Africa) market size data for the Global Smart Transportation Market, by services: 

Network management services, road safety services, public transportation services, freight efficiency services, security services, automotive telematics, and communication services.

3. Market trends in the global smart transportation market.

4. Market drivers and challenges for the global smart transportation market.

5. Analysis of companies profiles of major players operating in the market.

Why buy?

1. Understand the demand of global smart transportation market by services and solutions to determine the viability of the business.

2. Determine the developed and new markets where smart transportation technology is consumed.

3. Formulate a product market strategy – based on the position in the value chain and determine the optimal product/service placement.

4. Identify the gap areas and address them.

5. Develop strategies based on the industry and economic factors for each of the segments.

6. Define the competitive positioning by comparing the products and services compared with the key players in the market.

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Table of Content

Chapter 1: Executive summary

1.1. Market scope and segmentation
1.2. Key questions answered in this study
1.3. Executive summary

Chapter 2: Global smart transportation market- market overview

2.1. Global market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
2.2. Global - market drivers and challenges
2.3. Value chain analysis – global smart transportation market
2.4. Market size - By services (network management services, road safety services, public transportation services, freight efficiency services, security services, automotive telematics, and communication services)
2.4. a. Network management services – Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.4. b. Road safety services – Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.4. c. Public transportation services – Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.4. d. Freight efficiency services – Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.4. e. Security services – Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.4. f. Automotive telematics– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.4. g. Communication services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 3: North America smart transportation market- market overview

3.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
3.2. North America - market drivers and challenges
3.3. Market size-By services (network management services, road safety services, public transportation services, freight efficiency services, security services, automotive telematics, and communication services)
3.3. a. Network management services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.3. b. Road safety services – Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.3. c. Public transportation services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.3. d. Freight efficiency services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.3. e. Security services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.3. f. Automotive telematics – Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.3. g. Communication services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 4: Europe smart transportation market- market overview

4.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
4.2. Europe - market drivers and challenges
4.3. Market size-By services (network management services, road safety services, public transportation services, freight efficiency services, security services, automotive telematics, and communication services)
4.3. a. Network management services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.3. b. Road safety services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.3. c. Public transportation services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.3. d. Freight efficiency services – Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.3. e. Security services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.3. f. Automotive telematics– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.3. g. Communication services – Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 5: Asia Pacific smart transportation market- market overview

5.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
5.2. Asia Pacific-market drivers and challenges
5.3. Market size-By services (network management services, road safety services, public transportation services, freight efficiency services, security services, automotive telematics, and communication services)
5.3. a. Network management services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.3. b. Road safety services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.3. c. Public transportation services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.3. d. Freight efficiency services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.3. e. Security services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.3. f. Automotive telematics– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.3. g. Communication services – Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 6: Latin America smart transportation market- market overview

6.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
6.2. Asia Pacific-market drivers and challenges
6.3. Market size-By services (network management services, road safety services, public transportation services, freight efficiency services, security services, automotive telematics, and communication services)
6.3. a. Network management services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.3. b. Road safety services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.3. c. Public transportation services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.3. d. Freight efficiency services – Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.3. e. Security services– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.3. f. Automotive telematics– Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.3. g. Communication services – Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 7: Middle East and Africa smart transportation market- market overview

7.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
7.2. Middle East and Africa-market drivers and challenges
7.3. Market size- By services (network management services, road safety services, public transportation services, freight efficiency services, security services, automotive telematics, and communication services)
7.3. a. Network management services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.3. b. Road safety services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.3. c. Public transportation services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.3. d. Freight efficiency services - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.3. e. Security services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.3. f. Automotive telematics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.3. g. Communication services - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 8: Competitive landscape

8.1. Company overview - Siemens AG
8.1. a. Key highlights
8.1. b. Key initiatives and investments received
8.2. Company overview - Cubic Corporation
8.2. a. Key highlights
8.2. b. Key initiatives and investments received
8.3. Company overview - IBM
8.3. a. Key highlights
8.3. b. Key initiatives and investments received
8.4. Company overview - Accenture PLC
8.4. a. Key highlights
8.4. b. Key initiatives and investments received
8.5. Company overview - Cisco Systems
8.5. a. Key highlights
8.5. b. Key initiatives and investments received
8.6. Company overview - Xerox Corporation
8.6. a. Key highlights
8.6. b. Key initiatives and investments received
8.7. Company overview - General Electric Company
8.7. a. Key highlights
8.7. b. Key initiatives and investments received
8.8. Company overview - LG CNS.
8.8. a. Key highlights
8.8. b. Key initiatives and investments received
8.9. Company overview - Thales Group
8.9. a. Key highlights
8.9. b. Key initiatives and investments received
8.10. Company overview - Alstom SA
8.10. a. Key highlights
8.10. b. Key initiatives and investments received

Chapter 9: Conclusion

Chapter 10: Appendix

10.1. List of tables
10.2. Research methodology
10.3. Assumptions

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Smart Cities Market Expected to gain USD 2,276.03 Bn by 2023 and grow at a CAGR of 28.7%

As per the research conducted by KD Market research, the report titled  “ Smart Cities Market”  provides current as well as future analysis of the market by evaluating the major applications, advantages, trends, and challenges. The report dives deeper to produce useful insights into Smart Cities Market such as major global regions and key competitors and strategies that can be used for the entry-level player too.

Smart cities represent the incorporation of information and communication technologies (ICT) to enhance the performance and quality of urban services such as transportation, energy and utilities, to reduce resource consumption, overall costs and wastage. Smart city solutions can be incorporated in diverse areas of urban living, be it major tourism hubs or small communities striving to become sustainable. The global smart cities market is anticipated to reach USD 2,276.03 Bn by 2023 and grow at a CAGR of 28.7% during the forecast period of 2018-2023.

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Smart cities are developed and applied to a huge number of different domains and applications, integrated with technological advancements and their effective usage in providing services to people. The need for effective solutions for managing cities is leading to the growth of smart cities around the world. The market is classified into two primary segments.

Based on component: solutions and services

Based on application: smart industry automation, smart power supply system, smart security, smart education, smart living and building, smart medicare, smart transport, and smart water network and others

On the basis of regions, the market is segmented into North America, Europe, Asia-Pacific, Latin America and the Middle East and Africa.

Key growth factors

The expansion of cities and rapid urbanization are the major drivers for the adoption of intelligent and smart solutions. Rising demand for smart city solutions is anticipated to be driven by factors such as growing urban population, need to efficiently manage limited natural resources, and increasing focus on environmental sustainability. Soaring adoption of novel technologies that complement management of cities of the future is a major catalyst of industry growth. Increasing installation of smart meters is one of the key factors contributing to the growth of the market. Smart meters can be integrated with an IHD or in-home display, to provide instant information on gas and electricity usage in a household. Rising popularity of smart industrial automation in a variety of manufacturing industries is expected to fuel the market.  

Threats and key players

The nascent nature of many smart cities solutions and the need to verify ROI prior to wider execution of plans by budget-conscious cities create obstacles for the growth of this market. Cities delaying the development of cohesive smart cities’ visions and strategies, lack of multi-stakeholder buy-in to support smart cities initiatives and a shortage of adequate and compelling funding models and resources are some of the challenges faced by the market.

Some of the prominent competitors in smart cities market are CISCO Systems Inc., Hitachi Ltd., International Business Machines (IBM) Corporation, General Electric (GE) and Schneider Electric, among others

What’s covered in the report?

1. Overview of the global smart cities market.

2. Market drivers and challenges of the global smart cities market.

3. Market trends in the global smart cities market.

4. Historical, current and forecasted market size data for the segment based on component.

5. Historical, current and forecasted market size data for segment based on application.

6. Historical, current and forecasted regional (North America, Europe, Asia-Pacific, Latin America, the Middle East & Africa) market size data for global smart cities market.

7. Historical, current and forecasted market size data for region-wise segments.

8. Analysis of company profiles of major competitors operating in the market.

Why buy?

1. Understand the demand for smart cities to determine the viability of the market

2. Determine the developed and emerging markets adopting smart cities solutions

3. Identify the challenge areas and address them

4. Develop strategies based on the drivers, trends and highlights for each of the segments

5. Evaluate the value chain to determine the workflow and to get an idea of the current position where you are placed

6. Recognize the key competitors of this market and respond accordingly

7. Knowledge of the initiatives and growth strategies taken by the major companies and decide the direction of further growth

8. Define the competitive positioning by comparing the products and services compared with the key players in the market

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Table of Content

Chapter 1: Executive summary

1.1. Market scope and segmentation
1.2. Key questions answered in this study
1.3. Executive summary

Chapter 2: Global smart cities market - market overview

2.1. Market definitions
2.2. Global market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
2.3. Global - market drivers and challenges
2.4. Value chain analysis – Global smart cities market
2.5. Porter’s Five Forces Analysis
2.6. Market size- By component (smart cities solution revenue, smart cities services revenue)
2.6. a. Smart cities’ solution- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.6. b. Smart cities’ services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. Market size- By application (smart industry automation revenue, smart power supply system revenue, smart security revenue, smart education revenue, smart living and building revenue, smart medicare revenue, smart transport revenue, smart water network revenue)
2.7. a. Smart industry automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. b. Smart power supply system - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. c. Smart security - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. d. Smart education - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. e. Smart living and building - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. f. Smart medicare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. g. Smart transport - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. h. Smart water network - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. i. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 3: North America smart cities market- market overview

3.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
3.2. North America - market drivers and challenges
3.3. Market size- By component (smart cities solution revenue, smart cities services revenue)
3.3. a. Smart cities’ solution- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.3. b. Smart cities’ services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. Market size- By application (smart industry automation revenue, smart power supply system revenue, smart security revenue, smart education revenue, smart living and building revenue, smart medicare revenue, smart transport revenue, smart water network revenue)
3.4. a. Smart industry automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. b. Smart power supply system - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. c. Smart security - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. d. Smart education - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. e. Smart living and building - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. f. Smart medicare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. g. Smart transport - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. h. Smart water network - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. i. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 4: Europe smart cities market- market overview

4.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
4.2. Europe - market drivers and challenges
4.3. Market size- By component (smart cities solution revenue, smart cities services revenue)
4.3. a. Smart cities’ solution- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.3. b. Smart cities’ services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. Market size- By application (smart industry automation revenue, smart power supply system revenue, smart security revenue, smart education revenue, smart living and building revenue, smart medicare revenue, smart transport revenue, smart water network revenue)
4.4. a. Smart industry automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. b. Smart power supply system - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. c. Smart security - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. d. Smart education - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. e. Smart living and building - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. f. Smart medicare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. g. Smart transport - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. h. Smart water network - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. i. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 5: Asia-Pacific smart cities market- market overview

5.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
5.2. Asia Pacific- market drivers and challenges
5.3. Market size- By component (smart cities solution revenue, smart cities services revenue)
5.3. a. Smart cities’ solution- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.3. b. Smart cities services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4. Market size- By application (smart industry automation revenue, smart power supply system revenue, smart security revenue, smart education revenue, smart living and building revenue, smart medicare revenue, smart transport revenue, smart water network revenue)
5.4. a. Smart industry automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4. b. Smart power supply system - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4. c. Smart security - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4. d. Smart education - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4. e. Smart living and building - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4. f. Smart medicare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4. g. Smart transport - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4. h. Smart water network - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4. i. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 6: Latin America smart cities market- market overview

6.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
6.2. Latin America- market drivers and challenges
6.3. Market size- By component (smart cities solution revenue, smart cities services revenue)
6.3. a. Smart cities’ solution- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.3. b. Smart cities’ services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4. Market size- By application (smart industry automation revenue, smart power supply system revenue, smart security revenue, smart education revenue, smart living and building revenue, smart medicare revenue, smart transport revenue, smart water network revenue)
6.4. a. Smart industry automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4. b. Smart power supply system - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4. c. Smart security - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4. d. Smart education - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4. e. Smart living and building - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4. f. Smart medicare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4. g. Smart transport - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4. h. Smart water network - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4. i. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 7: Middle East and Africa smart cities market- market overview

7.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
7.2. Middle East and Africa- market drivers and challenges
7.3. Market size- By component (smart cities solution revenue, smart cities services revenue)
7.3. a. Smart cities’ solution- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.3. b. Smart cities’ services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4. Market size- By application (smart industry automation revenue, smart power supply system revenue, smart security revenue, smart education revenue, smart living and building revenue, smart medicare revenue, smart transport revenue, smart water network revenue)
7.4. a. Smart industry automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4. b. Smart power supply system - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4. c. Smart security - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4. d. Smart education - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4. e. Smart living and building - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4. f. Smart medicare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4. g. Smart transport - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4. h. Smart water network - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4. i. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 8: Competitive landscape

8.1. CISCO Systems Inc.
8.1. a. Company snapshot
8.1. b. Product offerings
8.1. c. Growth strategies
8.1. d. Initiatives
8.1. e. Geographical presence
8.1. f. Key numbers
8.2. Hitachi Ltd.
8.3. IBM Corporation
8.4. General Electric (GE)
8.5. Schneider Electric
8.6. Huawei Technologies Co., Ltd.
8.7. Oracle Corporation
8.8. Siemens AG
8.9. Ericsson
8.10. ABB Ltd.

Chapter 9: Conclusion

Chapter 10: Appendix

10.1. List of tables
10.2. Research methodology
10.3. Assumptions

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About Us:

KD Market Research is one of the best market research organization that provides B2B research on the growth opportunities of the industry which is the prime factor of the overall revenue of the organization. We identify the pain points which our client is facing around revenue methods and provide them with a comprehensive database which helps them to make intelligent decisions that could ensure growth to the organization.

Our Services include market intelligence, competitive intelligence, and customized research. These research reports help the organizations to make quick and powerful decisions that make out highest growth in revenue.

Contact us -

KD Market Research

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,

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Self-driving Car Market 2018| Rising Growth, Business Analysis and 2023 Forecast Study

KD Market research launches a new market research report on the  Self-driving Car Market. The study covers a detailed in-depth analysis of the global market along with the regional and country level analysis. The study also delivers a complete analysis about the major & niche players of Self-driving Car Market which includes profiling of technology providers (Microsoft, Apple, IBM, Cisco) and automobile industry players (Google, Toyota, General Motors, Tesla, Volvo).

A self-driving car, also known as an autonomous car or driverless car, is a vehicle that uses a combination of sensors, cameras, radars and artificial intelligence (AI), to travel between destinations without the need of any human effort.  To qualify as fully autonomous, a vehicle must be able to navigate without human intervention, to a predetermined destination, over roads that have not been adapted for its use. The global self-driving car market is expected to expand at a CAGR of 36.2%, leading to global revenue of USD 173.15 Bn by 2023.

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AI technologies power self-driving car systems. Developers of self-driving cars use vast amounts of data from image recognition systems, along with machine learning and neural networks, to build systems that can drive autonomously. Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage. Automakers and technical vendors are investing in AI to succeed in the era of autonomous vehicles.

The global self-driving car market is segmented on the basis of type of vehicle, product type, application of the car, technology components (hardware and software), and geography. The global market for autonomous cars can be categorized on the basis of its use and application, that is, into personal use and commercial use. In the self-driving car market, products are segregated based on type such as Level 1, Level 2, Level 3, Level 4 and Level 5 automation. The components market comprises radar, video cameras, lidar, ultrasound, central computing and GPS navigation. Geographically, the self-driving car market is segmented into North America, Europe, Asia-Pacific, Latin America and the Middle East and Africa.

Key growth factors

Rising acceptance of autonomous vehicles by various governments is expected to boost the growth of industrial applications of autonomous cars and trucks over the forecast period. Technological advancements, increasing number of road accidents, and growing demand for automation are the key factors driving the growth of the market.

The rise of the mobility as a service (MaaS) sector is anticipated to provide an impetus to the market for autonomous cars. Automation in the automotive industry will boost the growth of the global self-driving car market.

Threats and key players

Although the self-driving car market is expected to experience positive growth globally, apprehension regarding privacy and security risk and lack of proper infrastructure that is needed to support autonomous cars may pose several challenges for manufacturers. There can be security threats to the wide-ranging networks that will connect with autonomous vehicles.

Major self-driving car providers operating in the market are divided based on technology providers (Microsoft, Apple, IBM, Cisco) and automobile industry players (Google, Toyota, General Motors, Tesla, Volvo)

What’s covered in the report?

1. Overview of the global self-driving car market

2. Market drivers and challenges in the global self-driving car market

3. Market trends in the global self-driving car market

4. Historical, current and forecasted market size data for the global self-driving car market

5. Historical, current and forecasted market size data for the types of cars in the global self-driving car market (passenger vehicle and commercial vehicle)

6. Historical, current and forecasted market size data for the applications of cars in global self-driving car market (passenger use and commercial use)

7. Historical, current and forecasted market size data for the product types in the global self-driving car market (Level 1, Level 2, Level 3, Level 4 and Level 5 automation)

8. Historical, current and forecasted market size data for the technology components in the global self-driving car market (radar sensors, video cameras, lidar senors, ultrasound sensors, central computing systems, GPS navigation systems)

9. Historical, current and forecasted regional (North America, Europe, Asia-Pacific, Latin America, the Middle East & Africa) market size data for the global self-driving car market

10. Analysis of the competitive landscape and profiles of major companies operating in the market
11. Key recent developments in the global self-driving car market

Why buy?

1. To gain insightful analysis of the entire market and have a  comprehensive understanding of the global self-driving car market

2. To understand the growth drivers and challenges in the self-driving cars market and its impact on the global scenario

3. To analyze the market potential, drivers, latest market trends, opportunities and challenges, self-driving cars market threats and risks

4. Identify major Competitors’ business and market dynamics, and respond accordingly

5. Devise market-entry strategies by understanding the factors driving the growth of the market

6. Get stakeholder and technology analysis, relevant Companies’ profiles and start-ups’ profiles

Browse Complete Research Report with toc@ Self-driving Car Market

Table of Content

Chapter 1: Executive summary

1.1. Market scope and segmentation
1.2. Key questions answered in this study
1.3. Executive Summary

Chapter 2: Global self-driving car market - market overview

2.1. Global market overview - market trends, market attractiveness analysis, geography-wise market revenue (USD Bn)
2.2. Global market drivers and challenges
2.3. Value chain analysis of self-driving car market
2.4. Porter’s Five Forces Analysis
2.5. Market segmentation on the basis of type (passenger vehicle and commercial vehicle)
2.5.  a. Revenue from passenger vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.5.  b. Revenue from commercial vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.6. Market segmentation on the basis of application (passenger use and commercial use)
2.6.  a. Revenue from passenger use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.6.  b. Revenue from commercial use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. Market segmentation on the basis of product type (Level 1, Level 2, Level 3, Level 4 and Level 5 automation)
2.7.  a. Revenue from Level 1 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7.  b. Revenue from Level 2 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. c. Revenue from Level 3 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7.  d. Revenue from Level 4 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7.  e. Revenue from Level 5 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. Market segmentation on the basis of technology components (radar sensors, video cameras, lidar senors, ultrasound sensors, central computing systems, GPS navigation systems)
2.8.  a. Revenue from radar sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8.  b. Revenue from video cameras - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. c. Revenue from lidar senors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8.  d. Revenue from ultrasound sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8.  e. Revenue from central computing systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8.  f. Revenue from GPS navigation systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 3: North America self-driving car market - market overview

3.1. Market overview - market trends, market attractiveness analysis, geography-wise market revenue (USD)
3.2. North America - market drivers and challenges
3.3. Market segmentation on the basis of type (passenger vehicle and commercial vehicle)
3.3.a. Revenue from passenger vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.3.  b. Revenue from commercial vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. Market segmentation on the basis of application (passenger use and commercial use)
3.4.  a. Revenue from passenger use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4.  b. Revenue from commercial use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. Market segmentation on the basis of product type (Level 1, Level 2, Level 3, Level 4 and Level 5level 1, level 2, level 3, level 4 and level 5 automation)
3.5.  a. Revenue from Level 1 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5.  b. Revenue from Level 2 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. c. Revenue from Level 3 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5.  d. Revenue from Level 4 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5.  e. Revenue from Level 5 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. Market segmentation on the basis of technology components (radar sensor, video cameras, lidar senor, ultrasound sensor, central computing system, GPS navigation system)
3.6.  a. Revenue from radar sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6.  b. Revenue from video cameras - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6. c. Revenue from lidar senors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6.  d. Revenue from ultrasound sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6.  e. Revenue from central computing systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.6.  f. Revenue from GPS navigation systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 4: Europe self-driving car market - market overview

4.1. Market overview - market trends, market attractiveness analysis, geography wise market revenue (USD)
4.2. Europe - market drivers and challenges
4.3. Market segmentation on the basis of type (passenger vehicle and commercial vehicle)
4.3.a. Revenue from passenger vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.3.  b. Revenue from commercial vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. Market segmentation on the basis of application (passenger use and commercial use)
4.4.  a. Revenue from passenger use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4.  b. Revenue from commercial use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5. Market segmentation on the basis of product type (Level 1, Level 2, Level 3, Level 4 and Level 5 automation)
4.5.  a. Revenue from Level 1 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5.  b. Revenue from Level 2 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5. c. Revenue from Level 3 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5.  d. Revenue from Level 4 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5.  e. Revenue from Level 5 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.6. Market segmentation on the basis of technology components (radar sensor, video cameras, lidar senor, ultrasound sensor, central computing system, GPS navigation system)
4.6.  a. Revenue from radar sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.6.  b. Revenue from video cameras - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.6. c. Revenue from lidar senors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.6.  d. Revenue from ultrasound sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.6.  e. Revenue from central computing systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.6.  f. Revenue from GPS navigation systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 5: Asia-Pacific self-driving car market- market overview

5.1. Market overview - market trends, market attractiveness analysis, geography wise market revenue (USD)
5.2. Asia-Pacific - market drivers and challenges
5.3. Market segmentation on the basis of type (passenger vehicle and commercial vehicle)
5.3.a. Revenue from passenger vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.3.  b. Revenue from commercial vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4. Market segmentation on the basis of application (passenger use and commercial use)
5.4.  a. Revenue from passenger use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4.  b. Revenue from commercial use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5. Market segmentation on the basis of product type (Level 1, Level 2, Level 3, Level 4 and Level 5 automation)
5.5.  a. Revenue from Level 1 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5.  b. Revenue from level 2 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5. c. Revenue from Level 3 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5.  d. Revenue from Level 4 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5.  e. Revenue from Level 5 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.6. Market segmentation on the basis of technology components (radar sensor, video cameras, lidar senor, ultrasound sensor, central computing system, GPS navigation system)
5.6.  a. Revenue from radar sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.6.  b. Revenue from video cameras - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.6. c. Revenue from lidar senors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.6.  d. Revenue from ultrasound sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.6.  e. Revenue from central computing systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.6.  f. Revenue from GPS navigation systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 6: Latin America self-driving car market- market overview

6.1. Market overview - market trends, market attractiveness analysis, geography wise market revenue (USD)
6.2. Latin America - market drivers and challenges
6.3. Market segmentation on the basis of type (passenger vehicle and commercial vehicle)
6.3.a. Revenue from passenger vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.3.  b. Revenue from commercial vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4. Market segmentation on the basis of application (passenger use and commercial use)
6.4.  a. Revenue from passenger use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4.  b. Revenue from commercial use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5. Market segmentation on the basis of product type (Level 1, Level 2, Level 3, Level 4 and Level 5 automation)
6.5.  a. Revenue from Level 1 automation- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5.  b. Revenue from Level 2 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5. c. Revenue from Level 3 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5.  d. Revenue from Level 4 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5.  e. Revenue from Level 5 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.6. Market segmentation on the basis of technology components (radar sensor, video cameras, lidar senor, ultrasound sensor, central computing system, GPS navigation system)
6.6.  a. Revenue from radar sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.6.  b. Revenue from video cameras - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.6. c. Revenue from lidar senors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.6.  d. Revenue from ultrasound sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.6.  e. Revenue from central computing systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.6.  f. Revenue from GPS navigation systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 7: The Middle East and Africa self-driving car market - market overview

7.1. Market overview - market trends, market attractiveness analysis, geography wise market revenue (USD)
7.2. Middle East and Africa - market drivers and challenges
7.3. Market segmentation on the basis of type (passenger vehicle and commercial vehicle)
7.3.a. Revenue from passenger vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.3.  b. Revenue from commercial vehicles - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4. Market segmentation on the basis of application (passenger use and commercial use)
7.4.  a. Revenue from passenger use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4.  b. Revenue from commercial use - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5. Market segmentation on the basis of product type (Level 1, Level 2, Level 3, Level 4 and Level 5 automation)
7.5.  a. Revenue from Level 1 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5.  b. Revenue from Level 2 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5. c. Revenue from Level 3 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5.  d. Revenue from Level 4 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5.  e. Revenue from Level 5 automation - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.6. Market segmentation on the basis of technology components (radar sensor, video cameras, lidar senor, ultrasound sensor, central computing system, GPS navigation system)
7.6.  a. Revenue from radar sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.6.  b. Revenue from video cameras - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.6.  c. Revenue from lidar senors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.6.  d. Revenue from ultrasound sensors - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.6.  e. Revenue from central computing systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.6.  f. Revenue from GPS navigation systems - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 8: Competitive landscape

8.1   Technology providers
8.1.1. Microsoft
8.1.1.  a. Company snapshot
8.1.1.  b. Product offerings
8.1.1.  c. Growth strategies
8.1.1.  d. Initiatives
8.1.1.  e. Geographic presence
8.1.1.  f. Key numbers
8.1.2. Apple
8.1.2. a. Company snapshot
8.1.2.  b. Product offerings
8.1.2.  c. Growth strategies
8.1.2.  d. Initiatives
8.1.2.  e. Geographic presence
8.1.2.  f. Key numbers
8.1.3. IBM
8.1.3. a. Company snapshot
8.1.3.  b. Product offerings
8.1.3.  c. Growth strategies
8.1.3.  d. Initiatives
8.1.3.  e. Geographic presence
8.1.3.  f. Key numbers
8.1.4. Cisco
8.1.4. a. Company snapshot
8.1.4.  b. Product offerings
8.1.4.  c. Growth strategies
8.1.4.  d. Initiatives
8.1.4.  e. Geographic presence
8.1.4.  f. Key numbers
8.2    Automobile industry players
8.2.1. Google
8.2.1. a. Company snapshot
8.2.1.  b. Product offerings
8.2.1.  c. Growth strategies
8.2.1.  d. Initiatives
8.2.1.  e. Geographic presence
8.2.1.  f. Key numbers
8.2.2. Toyota
8.2.2.  a.Company snapshot
8.2.2.  b. Product offerings
8.2.2.  c. Growth strategies
8.2.2.  d. Initiatives
8.2.2.  e. Geographic presence
8.2.2.  f. Key numbers
8.2.3. General Motors
8.2.3.  a.Company snapshot
8.2.3.  b. Product offerings
8.2.3.  c. Growth strategies
8.2.3.  d. Initiatives
8.2.3.  e. Geographic presence
8.2.3.  f. Key numbers
8.2.4. Tesla
8.2.4. a. Company snapshot
8.2.4.  b. Product offerings
8.2.4.  c. Growth strategies
8.2.4.  d. Initiatives
8.2.4.  e. Geographic presence
8.2.4.  f. Key numbers
8.2.5. Volvo
8.2.5. a. Company snapshot
8.2.5.  b. Product offerings
8.2.5.  c. Growth strategies
8.2.5.  d. Initiatives
8.2.5.  e. Geographic presence
8.2.5.  f. Key numbers
8.2.6. Nissan Motor Company
8.2.6.  a.Company snapshot
8.2.6.  b. Product offerings
8.2.6.  c. Growth strategies
8.2.6.  d. Initiatives
8.2.6.  e. Geographic presence
8.2.6.  f. Key numbers

Chapter 9:Conclusion

Chapter 10:Appendix

10.1 List of tables
10.2 Research methodology

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About Us:

KD Market Research is one of the best market research organization that provides B2B research on the growth opportunities of the industry which is the prime factor of the overall revenue of the organization. We identify the pain points which our client is facing around revenue methods and provide them with a comprehensive database which helps them to make intelligent decisions that could ensure growth to the organization.

Our Services include market intelligence, competitive intelligence, and customized research. These research reports help the organizations to make quick and powerful decisions that make out highest growth in revenue.

Contact us -

KD Market Research

150 State Street, Albany,

New York, USA 12207

Website: www.kdmarketresearch.com

Email id-  sales@kdmarketresearch.com

Read More :https://kdmarketresearch.blogspot.com/

https://news4blogspot.blogspot.com/

https://reportkd.blogspot.com/

Robo-advisory Market Demand, Scope, Future Expectation and Market Overview by 2023

A Comprehensive research study conducted by KD Market Research on  Robo-advisory Market Opportunity Analysis and Industry forecast. report offers extensive and highly detailed historical, current and future market trends in Robo-advisory Market. Robo-advisory Market report includes market size, growth drivers, barriers, opportunities, trends and other information which helps to find new opportunities in this market for the growth of the business through new technologies and developments.

Robo-advisors are independent financial planning services driven by algorithms and supported by a digital platform with no human intervention. They collect information from their customers at first through an online survey to understand their financial situations and ultimate goals. With this information they make portfolios of investments by calculating their risk and returns along with profits for long-term. The global robo-advisory market is expected to grow at an overall annual compound growth rate (CAGR) of 53.54% from 2018 to 2023 leading to a global revenue of USD 73.70 Bn by 2023.

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Depending on various types of robo-advisory services available in the market, the global robo-advisory market has been classified into pure robo-advisors and hybrid robo-advisors. Among the different types, demand for hybrid robo-advisors is anticipated to be the most promising in the coming years. This is due to the increased affordability and accessibility with low financial assistance fee and rising objectivity, consistency and transparency.

In addition, demand for robo-advisory services from various client asset segments including pension funds, insurance companies, sovereign wealth funds, high-net-worth individuals and the mass affluent is also provided in this report. Demand for automated financial services from mass affluent individuals held the largest market share in 2017 and is anticipated to maintain its dominance during the forecast period.

Key growth factors

The robo-advisory market is predicted to witness a high growth rate owing to the surge in affordability and accessibility with low financial assistance fee and rising internet penetration along with advanced technology. Increasing competition with new entrants and diversified services is one of the primary factors that is expected to augment the demand of robo-advisors at an extensive rate in the coming years.

Threats and key players

Definition and suitability of financial advice along with conflicts of interests of the clients is one of the most important factors that is expected to limit the demand of different robo-advisors in the coming years. Moreover, robustness and transparency of algorithms and consumer disengagement of business models is also challenging the growth of the market worldwide.

Some of the major players in the robo-advisory market are Betterment LLC, Wealthfront, Nutmeg, Personal Capital, The Vanguard Group, FutureAdvisor, etc.

What is covered in the report?

1. Overview of the robo-advisors market.

2. Current market demand along with future expected demand trend of robo-advisory services from various types of robo-advisors including pure and hybrid robo-advisors.

3. Current and forecasted regional (North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa) market size data for robo-advisory market.

4. Current and forecasted market size data for types of client asset segment including pension funds, insurance companies, sovereign wealth funds, high-net-worth individuals and the mass affluent.

5. Analysis of company profiles of major players operating in the market.

6. Key opportunities for the robo-advisory market.

7. Market trends in the global robo-advisory market.

8. Value chain analysis in order to optimize the available resources.

9. Market attractiveness analysis in terms of region in order to furnish the competitive advantage of one region over the other.

10. Market positioning of the key players across different regions in 2017.

Why buy?

o Understand the demand for global robo-advisors to determine the viability of the market.

o Identify the developed and emerging markets where robo-advisory services are offered.

o Identify the challenge areas and address them.

o Develop strategies based on the drivers, trends and highlights for each of the segments.

o Evaluate the value chain to determine the workflow and to get an idea of the current position where you are placed.

o Recognize the key competitors of this market and respond accordingly.

o Knowledge of the initiatives and growth strategies taken up by the major companies and decide on the direction for further growth.

o Define the competitive positioning by comparing the products and services with the key players in the market.

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Table of Content

Chapter 1 Executive summary

1.1. Market scope and segmentation
1.2. Key questions answered in this study
1.3.1. Executive summary – I
1.3.2. Executive summary – II
1.3.2. Executive summary – III
1.3.2. Executive summary – IV
1.3.2. Executive summary – V
1.3.2. Executive summary – VI

Chapter 2 Global robo-advisory market – market overview

2.1. Global market overview - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), geography wise market revenue (USD bn), market challenges
2.2. Global - market drivers
2.3. Global - market trends
2.4. Value chain analysis – robo-advisory market
2.5. Porter’s five forces analysis – robo-advisory market

Chapter 3 North America robo-advisory market

3.1. Regional market overview - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key market observations
3.2. Market segmentation based on types of robo-advisors (pure and hybrid) - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key market observations
3.3.  Market segmentation based on types of client assets (pension funds, insurance companies, sovereign mutual funds, HNWI and the mass affluent) - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key market observations

Chapter 4 Europe robo-advisory market

4.1. Regional market overview - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key market observations
4.2. Market segmentation based on types of robo-advisors (pure and hybrid) - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key market observations
4.3.  Market segmentation based on types of client assets (pension funds, insurance companies, sovereign mutual funds, HNWI and the mass affluent) - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key market observations

Chapter 5 Asia-Pacific robo-advisory market

5.1. Regional market overview - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key market observations
5.2. Market segmentation based on types of robo-advisors (pure and hybrid) - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key market observations
5.3.  Market segmentation based on types of client assets (pension funds, insurance companies, sovereign mutual funds, HNWI and the mass affluent) - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key market observations

Chapter 6 Latin America robo-advisory market

6.1. Regional market overview - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key market observations
6.2. Market segmentation based on types of robo-advisors (pure and hybrid) - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key market observations
6.3.  Market segmentation based on types of client assets (pension funds, insurance companies, sovereign mutual funds, HNWI and the mass affluent) - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key market observations

Chapter 7 Middle East & Africa robo-advisory market

7.1. Regional market overview - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key market observations
7.2. Market segmentation based on types of robo-advisors (pure and hybrid) - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key market observations
7.3.  Market segmentation based on types of client assets (pension funds, insurance companies, sovereign mutual funds, HNWI and the mass affluent) - historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key market observations

Chapter 8 Competitive landscape

8.1. Betterment LLC.
 - Company snapshot
 - Product/services
 - Global presence
 - Other major initiatives/highlights
 - Key numbers
 - Growth strategy

8.2. Wealthfront Inc.
 - Company snapshot
 - Product/services
 - Global presence
 - Other major initiatives/highlights
 - Key numbers
 - Growth strategy

8.3. Personal Capital
 - Company snapshot
 - Product/services
 - Global presence
 - Other major initiatives/highlights
 - Key numbers
 - Growth strategy

8.4. Nutmeg
 - Company snapshot
 - Product/services
 - Global presence
 - Other major initiatives/highlights
 - Key numbers
 - Growth strategy

8.5. Future Advisor
 - Company snapshot
 - Product/services
 - Global presence
 - Other major initiatives/highlights
 - Key numbers
 - Growth strategy

8.6. The Vanguard Group
 - Company snapshot
 - Product/services
 - Global presence
 - Other major initiatives/highlights
 - Key numbers
 - Growth strategy

8.7. Charles Schwab Corporation
 - Company snapshot
 - Product/services
 - Global presence
 - Other major initiatives/highlights
 - Key numbers
 - Growth strategy

8.8. Hedgeable, Inc.
 - Company snapshot
 - Product/services
 - Global presence
 - Other major initiatives/highlights
 - Key numbers
 - Growth strategy

8.9. Stash Invest
 - Company snapshot
 - Product/services
 - Global presence
 - Other major initiatives/highlights
 - Key numbers
 - Growth strategy

Chapter 9 Conclusion

 9.1. Conclusion

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Precision Medicine Market Make Great Impact During 2018-2023

A fresh report titled “ Precision Medicine Market” has been presented by KD market research. It evaluates the key market trends, advantages, and factors that are pushing the overall growth of the market. The report also analyzes the different segments along with major geographies that have more demand for Precision Medicine Market . The competition analysis is also a major part of the report. 

Precision medicine is an upcoming approach which involves investigating whether a person has any diseases by evaluating the genetic makeup, and then diagnosing it. According to Netscribes, the global precision medicine market is expected to have a significant compounded annual growth rate (CAGR) of 9.7% and have a market size in excess of USD 96 Bn by 2023. North America dominates the global market due to the high incidence of cancer and increasing government initiatives in the region.

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Precision medicine involves a study of patient specific information to diagnose, and then categorize various diseases. The concept of precision medicine is rapidly growing in the medicine community through tremendous expansion in various advanced technologies, such as next-generation sequencing, molecular biomarker analysis, and much more. With the help of growing technologies, precision medicine plays a vital role in preventing and treating various diseases such as cancer, cardiovascular, neurology and other diseases, which are currently burdening the healthcare system.

The global precision medicine market is classified into three primary segments - based on end use: pharmaceuticals and biotech companies, clinical laboratories, diagnostic companies and healthcare IT specialists/big data companies; based on therapeutics: cancer, cardiovascular, central nervous system, psychiatric disorder and infectious diseases; and based on sub-market: big data analytics, bioinformatics, gene sequencing, pharmacogenomics and companion diagnostics.

Key growth factors

The concept of precision medicine has gained momentum in the healthcare community, powered by the tremendous expansion of various advanced technologies such as next-generation sequencing, molecular biomarker analysis and many more. Technological advancements have helped the precision medicine market prevent as well as treat diseases such as cancer, cardiovascular, neurology, diabetes, and others.

Rising pressure to lower healthcare cost globally, growth of personal healthcare devices, the emergence of value-based reimbursement models, and healthcare digitization trends are aiding the transition of treatment model from ‘one-size-fits-all’ to stratified and outcome-based targeted therapies, which are called precision medicine.

Threats and key players

Threat to personal data, high diagnostic costs, and the risk of hardware and software failure are some of the factors that will hinder the growth of the market.

The key players that have been contributing significantly to the precision medicine market include Abbott Laboratories, GE Healthcare, GlaxoSmithKline (GSK), Johnson & Johnson, Pfizer, Laboratories Corporation of America Holdings and Danaher Corporation, among others.

What’s covered in the report?

1. Overview of the global precision medicine market

2. Market Drivers and challenges in the global precision medicine market.

3. Market Trends in the global precision medicine market

4. Historical, current and forecasted market size data for end use segment in the global precision medicine market (pharmaceuticals and biotech companies, clinical laboratories, diagnostic companies and healthcare IT specialists/big data companies)

5. Historical, current and forecasted market size data for the therapeutics segment in the global precision medicine market (cancer, cardiovascular, central nervous system, psychiatric disorder, infectious diseases)

6. Historical, current and forecasted market size data for the sub-market segment in the global precision medicine market (big data analytics, bioinformatics, gene sequencing, pharmacogenomics and companion diagnostics)

7. Analysis of the competitive landscape and profiles of major companies operating in the market

Why buy?

1. Get a broad understanding of the global precision medicine market, end uses, therapeutics, and the other sub-markets

2. Get geography-specific drivers and challenges affecting the global precision medicine market, its end uses, therapeutics, and the sub-markets

3. Devise market-entry strategies by understanding the factors driving the growth of the market
4. Identify the challenges and address them

5. Get insights into the initiatives and growth strategies taken up by the major companies and decide on the direction for further growth

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Table of Content

Chapter 1: Executive summary

1.1. Market scope and segmentation
1.2. Key questions answered in this study
1.3. Executive Summary

Chapter 2: Global precision medicine market - market overview

2.1. Global market overview - market trends, market attractiveness analysis, geography-wise market revenue (USD)
2.2. Global market drivers and challenges
2.3. Value chain analysis – precision medicine market
2.4. Porter’s Five Forces Analysis
2.5. Market segmentation based on end use (pharmaceuticals and biotech companies, clinical laboratories, diagnostic companies, healthcare IT specialists/big data companies)
2.5.  a. Revenue from pharmaceuticals and biotech companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.5.  b. Revenue from clinical laboratories - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.5.  c. Revenue from diagnostic companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.5.  d. Revenue from healthcare IT specialists/big data companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.6. Market segmentation for therapeutics (cancer, cardiovascular, central nervous system, psychiatric disorder, infectious diseases)
2.6.  a. Revenue from cancer therapeutics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.6.  b. Revenue from cardiovascular therapeutics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.6.  c. Revenue from central nervous system therapeutics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.6.  d. Revenue from psychiatric disorder therapeutics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.6.  e. Revenue from infectious diseases therapeutics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. Market segmentation based on sub-market (big data analytics, bioinformatics, gene sequencing, pharmacogenomics, companion diagnostics)
2.7.  a. Revenue from big data analytics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7.  b. Revenue from bioinformatics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7.  c. Revenue from gene sequencing - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7.  d. Revenue from pharmacogenomics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7.  e. Revenue from companion diagnostics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 3: North America precision medicine market - market overview

3.1. Market overview - market trends, market attractiveness analysis, geography wise market revenue (USD)
3.2. North America - market drivers and challenges
3.3. Market segmentation based on end use (pharmaceuticals and biotech companies, clinical laboratories, diagnostic companies, healthcare IT specialists/big data companies)
3.3.  a. Revenue from pharmaceuticals and biotech companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.3.  b. Revenue from clinical laboratories - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.3.  c. Revenue from diagnostic companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.3.  d. Revenue from healthcare IT specialists/big data companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. Market segmentation based on therapeutics (cancer, cardiovascular, central nervous system, psychiatric disorder, infectious diseases)
3.4.  a. Revenue from cancer therapeutics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4.  b. Revenue from cardiovascular therapeutics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4.  c. Revenue from central nervous system therapeutics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4.  d. Revenue from psychiatric disorder therapeutics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4.  e. Revenue from infectious diseases therapeutics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. Market segmentation based on sub-market (big data analytics, bioinformatics, gene sequencing, pharmacogenomics, companion diagnostics)
3.5.  a. Revenue from big data analytics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5.  b. Revenue from bioinformatics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5.  c. Revenue from gene sequencing - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5.  d. Revenue from pharmacogenomics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5.  e. Revenue from companion diagnostics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 4: Europe precision medicine market- market overview

4.1. Market overview - market trends, market attractiveness analysis, geography wise market revenue (USD)
4.2. Europe - market drivers and challenges
4.3. Market segmentation based on end use (pharmaceuticals and biotech companies, clinical laboratories, diagnostic companies, healthcare IT specialists/big data companies)
4.3.  a. Revenue from pharmaceuticals and biotech companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.3.  b. Revenue from clinical laboratories - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.3.  c. Revenue from diagnostic companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.3.  d. Revenue from healthcare IT specialists/big data companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. Market segmentation based on therapeutics (cancer, cardiovascular, central nervous system, psychiatric disorder, infectious diseases)
4.4.  a. Revenue in cancer therapeutics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4.  b. Revenue from cardiovascular therapeutics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4.  c. Revenue from central nervous system therapeutics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4.  d. Revenue from psychiatric disorder therapeutics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4.  e. Revenue from infectious diseases therapeutics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5. Market segmentation based on sub-market (big data analytics, bioinformatics, gene sequencing, pharmacogenomics, companion diagnostics)
4.5.  a. Revenue from big data analytics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5.  b. Revenue from bioinformatics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5.  c. Revenue from gene sequencing - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5.  d. Revenue from pharmacogenomics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5.  e. Revenue from companion diagnostics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 5: Asia-Pacific precision medicine market - market overview

5.1. Market overview - market trends, market attractiveness analysis, geography wise market revenue (USD)
5.2. Asia-Pacific - market drivers and challenges
5.3. Market segmentation based on end use (pharmaceuticals and biotech companies, clinical laboratories, diagnostic companies, healthcare IT specialists/big data companies)
5.3.  a. Revenue from pharmaceuticals and biotech companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.3.  b. Revenue from clinical laboratories - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.3.  c. Revenue from diagnostic companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.3.  d. Revenue from healthcare IT specialists/big data companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4. Market segmentation based on therapeutics (cancer, cardiovascular, central nervous system, psychiatric disorder, infectious diseases)
5.4.  a. Revenue from cancer therapeutics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4.  b. Revenue from cardiovascular therapeutics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4.  c. Revenue from central nervous system therapeutics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4.  d. Revenue from psychiatric disorder therapeutics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4.  e. Revenue from infectious diseases therapeutics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5. Market segmentation based on sub-market (big data analytics, bioinformatics, gene sequencing, pharmacogenomics, companion diagnostics)
5.5.  a. Revenue from big data analytics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5.  b. Revenue from bioinformatics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5.  c. Revenue from gene sequencing - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5.  d. Revenue from pharmacogenomics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5.  e. Revenue from companion diagnostics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 6: Latin America precision medicine market - market overview

6.1. Market overview - market trends, market attractiveness analysis, geography wise market revenue (USD)
6.2. Latin America - market drivers and challenges
6.3. Market segmentation based on end use (pharmaceuticals and biotech companies, clinical laboratories, diagnostic companies, healthcare IT specialists/big data companies)
6.3.  a. Revenue from pharmaceuticals and biotech companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.3.  b. Revenue from clinical laboratories - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.3.  c. Revenue from diagnostic companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.3.  d. Revenue from healthcare IT specialists/big data companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4. Market segmentation based on therapeutics (cancer, cardiovascular, central nervous system, psychiatric disorder, infectious diseases)
6.4.  a. Revenue from cancer therapeutics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4.  b. Revenue from cardiovascular therapeutics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4.  c. Revenue from central nervous system therapeutics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4.  d. Revenue from psychiatric disorder therapeutics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4.  e. Revenue from infectious diseases therapeutics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5. Market segmentation based on sub-market (big data analytics, bioinformatics, gene sequencing, pharmacogenomics, companion diagnostics)
6.5.  a. Revenue from big data analytics- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5.  b. Revenue from bioinformatics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5.  c. Revenue from gene sequencing - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5.  d. Revenue from pharmacogenomics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5.  e. Revenue from companion diagnostics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 7: Middle East and Africa precision medicine market - market overview

7.1. Market overview-market trends, market attractiveness analysis, geography wise market revenue (USD)
7.2. Middle East and Africa - market drivers and challenges
7.3. Market segmentation based on end use (pharmaceuticals and biotech companies, clinical laboratories, diagnostic companies, healthcare IT specialists/big data companies)
7.3.  a. Revenue from pharmaceuticals and biotech companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.3.  b. Revenue from clinical laboratories - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.3.  c. Revenue from diagnostic companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.3.  d. Revenue from healthcare IT specialists/big data companies - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4. Market segmentation based on therapeutics (cancer, cardiovascular, central nervous system, psychiatric disorder, infectious diseases)
7.4.  a. Revenue from cancer therapeutics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4.  b. Revenue from cardiovascular therapeutics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4.  c. Revenue from central nervous system therapeutics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4.  d. Revenue from psychiatric disorder therapeutics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4.  e. Revenue from infectious diseases therapeutics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5. Market segmentation based on sub-market (big data analytics, bioinformatics, gene sequencing, pharmacogenomics, companion diagnostics)
7.5.  a. Revenue from big data analytics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5.  b. Revenue from bioinformatics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5.  c. Revenue from gene sequencing - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5.  d. Revenue from pharmacogenomics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5.  e. Revenue from companion diagnostics - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Continue…..

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About Us:

KD Market Research is one of the best market research organization that provides B2B research on the growth opportunities of the industry which is the prime factor of the overall revenue of the organization. We identify the pain points which our client is facing around revenue methods and provide them with a comprehensive database which helps them to make intelligent decisions that could ensure growth to the organization.

Our Services include market intelligence, competitive intelligence, and customized research. These research reports help the organizations to make quick and powerful decisions that make out highest growth in revenue.

Contact us -

KD Market Research

150 State Street, Albany,

New York, USA 12207

Website: www.kdmarketresearch.com

Email id-  sales@kdmarketresearch.com

Read More :https://kdmarketresearch.blogspot.com/

https://news4blogspot.blogspot.com/

https://reportkd.blogspot.com/