KD Market research has presented a detailed report on “Artificial Intelligence in Healthcare Market” which includes the major application, advantages, and key market trends that are fostering the growth of the market during the forecasted span of 6 years. The research takes a step forward and analyzes the key competitors and global regions that are holding the market share of Artificial Intelligence in Healthcare Marketin terms of revenue.
Artificial intelligence assists the machines to perform any task without human interventions. It uses different algorithms and software that help the machine to inculcate perception and reasoning for various situations. AI is widely applicable in the healthcare sector for various purposes such as drug discovery and precision medicine. In addition, it is used to analyze patient?s medical data, to predict disease onset, and personalize treatment provided to the patient. The global AI market was valued at $1,441 million in 2016, and is estimated to reach at $22,790 million by 2023, registering a CAGR of 48.0% from 2017 to 2023.
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The AI market is segmented based on offering, technology, application, end user, and geography. On the basis of offering, the market is divided into hardware, software, and services. By technology, it is classified into deep learning, querying method, natural language processing, and context aware processing. Applications covered in the study include robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis, and others. According to end user, the market is categorized into healthcare provider, pharmaceutical & biotechnology company, patient, and payer Geographically, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The market growth is driven by rise in adoption rate of AI systems and delete technological advancements in the AI field. In addition, the ability of these systems to improve patient outcomes, increase in adoption of precision medicine, and increase in need for coordination between healthcare workforce & patients are expected to fuel the market growth. However, lack of standard regulations and guidelines and reluctance among healthcare professionals to adopt AI-based technologies are expected to hinder the market growth.
KEY BENEFITS FOR STAKEHOLDERS
-This report offers a detailed quantitative analysis of the current market trends from 2016 to 2023 to identify the prevailing opportunities.
-The market estimations provided are based on comprehensive analysis of the key developments in the industry.
-In-depth geographical analysis facilitates to analyze the regional market to assist in strategic business planning.
-The developmental strategies adopted by key manufacturers are enlisted to understand the competitive scenario of the market
KEY PLAYERS
-Welltok, Inc.
-Intel Corporation
-Nvidia Corporation
-Google Inc.
-IBM Corporation
-Microsoft Corporation
-General Vision, Inc.
-Enlitic, Inc.
-Next IT Corporation
-iCarbonX
KEY MARKET SEGMENTS
By Offering
-Hardware
-Software
-Service
By Technology
-Deep Learning
-Querying Method
-Natural Language Processing
-Context Aware Processing
By Application
-Robot-assisted Surgery
-Virtual Nursing Assistant
-Administrative Workflow Assistance
-Fraud Detection
-Dosage Error Reduction
-Clinical Trial Participant Identifier
-Preliminary Diagnosis
-Others
By End User
-Healthcare Provider
-Pharmaceutical & Biotechnology Company
-Patient
-Payer
By Geography
-North America
-U.S.
-Canada
-Mexico
-Europe
-Germany
-France
-UK
-Italy
-Spain
-Rest of Europe
-Asia-Pacific
-Japan
-China
-Australia
-India
-South Korea
-Taiwan
-Rest of Asia-Pacific
-LAMEA
-Brazil
-Turkey
-Saudi Arabia
-South Africa
-Rest of LAMEA
The other players of the artificial intelligence in healthcare market include (companies not profiled in the report):
-Shimadzu Recursion Pharmaceuticals, Inc.
-Siemens Healthineers
-General Electric (GE) Company
-Koninklijke Philips N.V.
-Cloudmedx, Inc.
-Bay Labs, Inc.
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Table of Content
CHAPTER 1 INTRODUCTION
1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS
1.3. KEY MARKET SEGMENTS
1.4. RESEARCH METHODOLOGY
1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools & models
CHAPTER 2 EXECUTIVE SUMMARY
2.1. CXO PERSPECTIVE
CHAPTER 3 MARKET OVERVIEW
3.1. MARKET DEFINITION AND SCOPE
3.2. KEY FINDINGS
3.2.1. Top investment pockets
3.2.2. Top winning strategies
3.3. PORTERS FIVE FORCES ANALYSIS
3.4. REGULATION AND REIMBURSEMENT SCENARIO
3.5. MARKET DYNAMICS
3.5.1. Drivers
3.5.1.1. Increasing processing power of AI systems leading to better AI capabilities
3.5.1.2. Dearth of skilled healthcare professionals
3.5.2. Restraints
3.5.2.1. Limitations of AI decision-making
3.5.2.2. Limited acceptance from healthcare professionals owing to risk of injury and misinterpretation
3.5.3. Opportunities
3.5.3.1. Application of AI for novel surgeries and screening
3.5.3.2. Untapped market in developing regions
CHAPTER 4 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING
4.1. OVERVIEW
4.1.1. Market size and forecast
4.2. HARDWARE
4.2.1. Key market trends
4.2.2. Key growth factors and opportunities
4.2.3. Market size and forecast
4.3. SOFTWARE
4.3.1. Key market trends
4.3.2. Key growth factors and opportunities
4.3.3. Market size and forecast
4.4. SERVICES
4.4.1. Key market trends
4.4.2. Key growth factors and opportunities
4.4.3. Market size and forecast
CHAPTER 5 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY
5.1. OVERVIEW
5.1.1. Market size and forecast
5.2. DEEP LEARNING
5.2.1. Market size and forecast
5.3. QUERYING METHOD
5.3.1. Market size and forecast
5.4. NATURAL LANGUAGE PROCESSING
5.4.1. Market size and forecast
5.5. CONTEXT AWARE PROCESSING
5.5.1. Market size and forecast
CHAPTER 6 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION
6.1. OVERVIEW
6.1.1. Market size and forecast
6.2. ROBOT ASSISTED SURGERY
6.2.1. Market size and forecast
6.3. VIRTUAL NURSING ASSISTANTS
6.3.1. Market size and forecast
6.4. ADMINISTRATIVE WORKFLOW ASSISTANCE
6.4.1. Market size and forecast
6.5. FRAUD DETECTION
6.5.1. Market size and forecast
6.6. DOSAGE ERROR REDUCTION
6.6.1. Market size and forecast
6.7. CLINICAL TRIAL PARTICIPANT IDENTIFIER
6.7.1. Market size and forecast
6.8. PRELIMINARY DIAGNOSIS
6.8.1. Market size and forecast
6.9. OTHER APPLICATION
6.9.1. Market size and forecast
CHAPTER 7 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER
7.1. OVERVIEW
7.1.1. Market size and forecast
7.2. HEALTHCARE PROVIDERS
7.2.1. Market size and forecast
7.3. PHARMACEUTICALS AND BIOTECHNOLOGY COMPANIES
7.3.1. Market size and forecast
7.4. PATIENTS
7.4.1. Market size and forecast
7.5. PAYERS
7.5.1. Market size and forecast
CHAPTER 8 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY GEOGRAPHY
8.1. OVERVIEW
8.1.1. Market size and forecast
8.2. NORTH AMERICA
8.2.1. Key market trends
8.2.2. Key growth factors and opportunities
8.2.3. Market size and forecast
8.2.3.1. U.S. market size and forecast
8.2.3.2. Mexico market size and forecast
8.2.3.3. Canada market size and forecast
8.3. EUROPE
8.3.1. Key market trends
8.3.2. Key growth factors and opportunities
8.3.3. Market size and forecast
8.3.3.1. UK market size and forecast
8.3.3.2. France market size and forecast
8.3.3.3. Germany market size and forecast
8.3.3.4. Italy market size and forecast
8.3.3.5. Spain market size and forecast
8.3.3.6. Rest of Europe market size and forecast
8.4. ASIA-PACIFIC
8.4.1. Key market trends
8.4.2. Key growth factors and opportunities
8.4.3. Market size and forecast
8.4.3.1. Japan market size and forecast
8.4.3.2. China market size and forecast
8.4.3.3. Australia market size and forecast
8.4.3.4. India market size and forecast
8.4.3.5. South Korea market size and forecast
8.4.3.6. Taiwan market size and forecast
8.4.3.7. Rest of Asia-Pacific market size and forecast
8.5. LAMEA
8.5.1. Key market trends
8.5.2. Key growth factors and opportunities
8.5.3. Market size and forecast
8.5.3.1. Brazil market size and forecast
8.5.3.2. Turkey market size and forecast
8.5.3.3. Saudi Arabia market size and forecast
8.5.3.4. South Africa market size and forecast
8.5.3.5. Rest of LAMEA market size and forecast
CHAPTER 9 COMPANY PROFILES
9.1. WELLTOK, INC.
9.1.1. Company overview
9.1.2. Company snapshot
9.1.3. Operating business segments
9.1.4. Business performance
9.1.5. Key strategic moves and developments
9.2. INTEL CORPORATION
9.2.1. Company overview
9.2.2. Company snapshot
9.2.3. Operating business segments
9.2.4. Business performance
9.2.5. Key strategic moves and developments
9.3. NVIDIA CORPORATION
9.3.1. Company overview
9.3.2. Company snapshot
9.3.3. Operating business segments
9.3.4. Business performance
9.3.5. Key strategic moves and developments
9.4. GOOGLE INC.
9.4.1. Company overview
9.4.2. Company snapshot
9.4.3. Operating business segments
9.4.4. Business performance
9.4.5. Key strategic moves and developments
9.5. IBM CORPORATION
9.5.1. Company overview
9.5.2. Company snapshot
9.5.3. Operating business segments
9.5.4. Business performance
9.5.5. Key strategic moves and developments
9.6. MICROSOFT CORPORATION
9.6.1. Company overview
9.6.2. Company snapshot
9.6.3. Operating business segments
9.6.4. Business performance
9.6.5. Key strategic moves and developments
9.7. GENERAL VISION, INC.
9.7.1. Company overview
9.7.2. Company snapshot
9.7.3. Operating business segments
9.7.4. Business performance
9.7.5. Key strategic moves and developments
9.8. ENLITIC, INC.
9.8.1. Company overview
9.8.2. Company snapshot
9.8.3. Operating business segments
9.8.4. Business performance
9.8.5. Key strategic moves and developments
9.9. NEXT IT CORPORATION
9.9.1. Company overview
9.9.2. Company snapshot
9.9.3. Operating business segments
9.9.4. Business performance
9.9.5. Key strategic moves and developments
9.10. ICARBONX
9.10.1. Company overview
9.10.2. Company snapshot
9.10.3. Operating business segments
9.10.4. Business performance
9.10.5. Key strategic moves and developments
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