KD Market research has presented a detailed report on “Artificial Intelligence Chip 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 Chip Market in terms of revenue.
Artificial intelligence (AI) has been the most progressive technology since its introduction in the 1950s. It is associated with human intelligence with characteristics such as language understanding, reasoning, learning, problem-solving, and others. Manufacturers in the market witness enormous underlying intellectual challenges in the development and revision of such technology. It is positioned as the core of the next-generation software technologies in the market.
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The factors that drive the growth of the global artificial intelligence chip market include increase in demand for smart homes, development of smart cities, and emergence of quantum computing. However, lack of skilled workforce restrains the market growth. Further, in the near future, increased adoption of AI chips in the developing regions and development of smarter robots are expected to provide lucrative opportunities for the key players operating in the global artificial intelligence chip market.
The global artificial intelligence chip market is segmented based on chip type, application, industry vertical, technology, and geography. By chip type, the market is categorized into GPU, ASIC, FPGA, CPU, and others. Based on application, it is divided into machine learning, natural language processing (NLP), robotic process automation, speech recognition, and others. On the basis of technology, the market is segmented into system-on-chip, system-in-package, multi-chip module, and others. Based on processing type, it is bifurcated into edge and cloud. The industry verticals considered in the study include media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others.
Geographically, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The key players profiled in the report include AMD (Advanced Micro Devices), Google, Inc., Intel Corporation, NVIDIA, Baidu, Graphcore, Qualcomm, Adapteva, UC-Davis, Mythic, and others.
Key Benefits for Artificial Intelligence Chip Market:
- This study comprises analytical depiction of the global artificial intelligence chip market along with the current trends and future estimations to depict the imminent investment pockets.
- The overall market potential is determined to understand the profitable trends to gain a stronger coverage in the market.
- The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
- The current market is quantitatively analyzed from 2017 to 2025 to highlight the financial competency of the market.
- Porter’s five forces analysis illustrates the potency of the buyers and suppliers.
By Chip Type – GPU, ASIC, FPGA, CPU, Others
By Application – Machine Learning, Deep Learning (Image Recognition, Computer Vision), Predictive Analysis, Others , Natural Language Processing (NLP), Translation, Classification & Clustering, Information Extraction, Robotic Process Automation, Speech Recognition, Speech to Text, Text to Speech, Others (Expert Systems, Planning, and Scheduling)
By Technology – System-on-Chip (SoC), System-in-Package (SIP), Multi-chip Module, Others
By Processing Type – Edge, Cloud
By Industry Vertical – Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, Others
By Region –
North America – U.S., Canada, Mexico
Europe –UK, Germany, France, Russia ,Rest of Europe
Asia-Pacific –China, Japan, India, Australia, Rest of Asia-Pacific
LAMEA –Latin America, Middle East, Africa
Key Market Players Profiled – AMD (Advanced Micro Devices), Google, Inc., Intel Corporation, NVIDIA, Baidu, Graphcore, Qualcomm, Adapteva, UC-Davis, Mythic, Others
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Table of Content
CHAPTER 1: INTRODUCTION
1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS FOR STAKEHOLDERS
1.3. KEY MARKET SEGMENTS
1.4. RESEARCH METHODOLOGY
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. INDUSTRY ROADMAP
2.2. CXO PERSPECTIVE
CHAPTER 3: MARKET OVERVIEW
3.1. MARKET DEFINITION AND SCOPE
3.2. KEY FINDINGS
3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.2.3. Top winning strategies
3.3. PORTERS FIVE FORCES ANALYSIS
3.4. MARKET SHARE ANALYSIS, 2017 (%)
3.5. MARKET DYNAMICS
3.5.1. Drivers
3.5.1.1. Increase in demand for smart homes & smart cities
3.5.1.2. Rise in investments in AI startups
3.5.1.3. Emergence of quantum computing
3.5.2. Restraint
3.5.2.1. Dearth of skilled workforce
3.5.3. Opportunities
3.5.3.1. Increased adoption of AI chips in the developing regions
3.5.3.2. Development of smarter robots
CHAPTER 4: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY CHIP TYPE
4.1. OVERVIEW
4.2. GPU
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market analysis by country
4.3. ASIC
4.3.1. Key market trends, growth factors, and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market analysis by country
4.4. FPGA
4.4.1. Key market trends, growth factors, and opportunities
4.4.2. Market size and forecast, by region
4.4.3. Market analysis by country
4.5. CPU
4.5.1. Key market trends, growth factors, and opportunities
4.5.2. Market size and forecast, by region
4.5.3. Market analysis by country
4.6. OTHERS (NPU & HYBRID CHIP)
4.6.1. Key market trends, growth factors, and opportunities
4.6.2. Market size and forecast, by region
4.6.3. Market analysis by country
CHAPTER 5: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION
5.1. OVERVIEW
5.2. MACHINE LEARNING
5.2.1. Key market trends, growth factors and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Deep learning (Image recognition, Computer vision)
5.2.4. Predictive analysis
5.2.5. Others (Decision tree learning, Inductive logic programming, Reinforcement learning, and others)
5.2.6. Market analysis by country
5.3. NATURAL LANGUAGE PROCESSING (NLP)
5.3.1. Key market trends, growth factors, and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Translation
5.3.4. Classification & clustering
5.3.5. Information extraction
5.3.6. Market analysis by country
5.4. ROBOTIC PROCESS AUTOMATION
5.4.1. Key market trends, growth factors, and opportunities
5.4.2. Market size and forecast, by region
5.4.3. Market analysis by country
5.5. SPEECH RECOGNITION
5.5.1. Key market trends, growth factors, and opportunities
5.5.2. Market size and forecast, by region
5.5.3. Speech to text
5.5.4. Text to speech
5.5.5. Market analysis by country
5.6. OTHERS
5.6.1. Key market trends, growth factors, and opportunities
5.6.2. Market size and forecast, by region
5.6.3. Market analysis by country
CHAPTER 6: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY
6.1. OVERVIEW
6.2. SYSTEM-ON-CHIP (SOC)
6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market analysis by country
6.3. SYSTEM-IN-PACKAGE (SIP)
6.3.1. Key market trends, growth factors, and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market analysis by country
6.4. MULTI-CHIP MODULE
6.4.1. Key market trends, growth factors, and opportunities
6.4.2. Market size and forecast, by region
6.4.3. Market analysis by country
6.5. OTHERS (PACKAGE IN PACKAGE, TSV)
6.5.1. Key market trends, growth factors, and opportunities
6.5.2. Market size and forecast, by region
6.5.3. Market analysis by country
CHAPTER 7: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY PROCESSING TYPE
7.1. OVERVIEW
7.2. EDGE
7.2.1. Key market trends, growth factors and opportunities
7.2.2. Market size and forecast, by region
7.2.3. Market analysis by country
7.3. CLOUD
7.3.1. Key market trends, growth factors, and opportunities
7.3.2. Market size and forecast, by region
7.3.3. Market analysis by country
CHAPTER 8: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY INDUSTRY VERTICAL
8.1. OVERVIEW
8.2. MEDIA & ADVERTISING
8.2.1. Key market trends, growth factors and opportunities
8.2.2. Market size and forecast, by region
8.2.3. Market analysis by country
8.2.4. Market size and forecast, by processing type
8.3. BFSI
8.3.1. Key market trends, growth factors and opportunities
8.3.2. Market size and forecast, by region
8.3.3. Market analysis by country
8.3.4. Market size and forecast, by processing type
8.4. IT & TELECOM
8.4.1. Key market trends, growth factors and opportunities
8.4.2. Market size and forecast, by region
8.4.3. Market analysis by country
8.4.4. Market size and forecast, by processing type
8.5. RETAIL
8.5.1. Key market trends, growth factors and opportunities
8.5.2. Market size and forecast, by region
8.5.3. Market analysis by country
8.5.4. Market size and forecast, by processing type
8.6. HEALTHCARE
8.6.1. Key market trends, growth factors and opportunities
8.6.2. Market size and forecast, by region
8.6.3. Market analysis by country
8.6.4. Market size and forecast, by processing type
8.7. AUTOMOTIVE
8.7.1. Key market trends, growth factors and opportunities
8.7.2. Market size and forecast, by region
8.7.3. Market analysis by country
8.7.4. Market size and forecast, by processing type
8.8. OTHERS
8.8.1. Key market trends, growth factors and opportunities
8.8.2. Market size and forecast, by region
8.8.3. Market analysis by country
8.8.4. Market size and forecast, by processing type
CHAPTER 9: ARTIFICIAL INTELLIGENCE CHIP MARKET, BY REGION
9.1. OVERVIEW
9.2. NORTH AMERICA
9.2.1. Key market trends, growth factors, and opportunities
9.2.2. Market size and forecast, by chip type
9.2.3. Market size and forecast, by application
9.2.4. Market size and forecast, by technology
9.2.5. Market size and forecast, by processing type
9.2.6. Market size and forecast, by industry vertical
9.2.7. Market analysis by country
9.2.7.1. U.S.
9.2.7.1.1. Market size and forecast, by chip type
9.2.7.1.2. Market size and forecast, by application
9.2.7.1.3. Market size and forecast, by technology
9.2.7.1.4. Market size and forecast, by processing type
9.2.7.1.5. Market size and forecast, by industry vertical
9.2.7.2. Canada
9.2.7.2.1. Market size and forecast, by chip type
9.2.7.2.2. Market size and forecast, by application
9.2.7.2.3. Market size and forecast, by technology
9.2.7.2.4. Market size and forecast, by processing type
9.2.7.2.5. Market size and forecast, by industry vertical
9.2.7.3. Mexico
9.2.7.3.1. Market size and forecast, by chip type
9.2.7.3.2. Market size and forecast, by application
9.2.7.3.3. Market size and forecast, by technology
9.2.7.3.4. Market size and forecast, by processing type
9.2.7.3.5. Market size and forecast, by industry vertical
9.3. EUROPE
9.3.1. Key market trends, growth factors, and opportunities
9.3.2. Market size and forecast, by chip type
9.3.3. Market size and forecast, by application
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