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Artificial Intelligence Chip Market: Global Opportunity Analysis and Industry Forecast, 2019-2025

  • ID: 4580629
  • Report
  • Region: Global
  • 521 pages
  • Allied Analytics LLP
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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.

Artificial intelligence (AI) chips are specialized silicon chips, which incorporate AI technology and are used for machine learning. AI helps in eliminating or minimizing the risk to human life in many industry verticals. The need for more efficient systems for solving mathematical and computational problems becomes crucial, as the volume of data is increasing. Thus, majority of the key players in the IT industry have focused on developing AI chips and applications.

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 region. By chip type, the market is categorized into GPU, ASIC, FPGA, CPU, and others. Based on application, it is divided into natural language processing (NLP), robotic, computer vision, network security, and others. By 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. Based on region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The key players profiled in the report include Advanced Micro Devices (AMD), Google, Inc., Intel Corporation, NVIDIA, Baidu, Graphcore, Qualcomm, Adapteva, UC-Davis, Mythic, and others.

KEY BENEFITS FOR STAKEHOLDERS
  • 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 2018 to 2025 to highlight the financial competency of the AI chip market.
  • Porter’s five forces analysis illustrates the potency of the buyers and suppliers.
KEY MARKET SEGMENTS

By CHIP TYPE
  • GPU
  • ASIC
  • FPGA
  • CPU
  • Others
By APPLICATION
  • Natural Language Processing (NLP)
  • Robotic
  • Computer Vision
  • Network Security
  • Others
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
o U.S.
o Canada
o Mexico
  • Europe
o UK
o Germany
o France
o Russia
o Rest of Europe
  • Asia-Pacific
o China
o Japan
o India
o Australia
o Rest of Asia-Pacific
  • LAMEA
o Latin America
o Middle East
o Africa

KEY MARKET PLAYERS PROFILED
  • Advanced Micro Devices (AMD)
  • Google, Inc.
  • Intel Corporation
  • NVIDIA
  • Baidu
  • Graphcore
  • Qualcomm
  • Adapteva
  • UC-Davis
  • Mythic
  • Others
Note: Product cover images may vary from those shown
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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. PORTER’S FIVE FORCES ANALYSIS
3.4. AI CHIP MARKET – VALUE CHAIN ANALYSIS
3.5. MARKET SHARE ANALYSIS, 2018
3.5.1. AI Chip Suppliers, by Vertical
3.5.1.1. Media & Advertising
3.5.1.2. BFSI
3.5.1.3. IT & Telecom
3.5.1.4. Retail
3.5.1.5. Healthcare
3.5.1.6. Automotive
3.5.2. AI Chip Supplier Market Share Analysis, by Verticals
3.5.2.1. IT & Telecom
3.5.2.2. BFSI
3.5.2.3. Media & Advertising
3.5.2.4. Healthcare
3.5.2.5. Automotive
3.5.2.6. Retail
3.5.3. AI Chip Customers, by Vertical
3.5.3.1. Media & Advertising
3.5.3.2. BFSI
3.5.3.3. IT & Telecom
3.5.3.4. Retail
3.5.3.5. Healthcare
3.5.3.6. Automotive
3.5.4. Market share and AI chip spend for top customers
3.6. MARKET DYNAMICS
3.6.1. Drivers
3.6.1.1. Increase in demand for smart homes & smart cities
3.6.1.2. Rise in investments in AI startups
3.6.1.3. Emergence of quantum computing
3.6.2. Restraint
3.6.2.1. Dearth of skilled workforce
3.6.3. Opportunities
3.6.3.1. Increased adoption of AI chips in the developing regions
3.6.3.2. Development of smarter robots
3.7. RACE ANALYSIS
3.8. PATENT ANALYSIS

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. NATURAL LANGUAGE PROCESSING (NLP)
5.2.1. Key market trends, growth factors, and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market analysis by country
5.3. ROBOTIC PROCESS AUTOMATION
5.3.1. Key market trends, growth factors, and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market analysis by country
5.4. COMPUTER VISION
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. NETWORK SECURITY
5.5.1. Key market trends, growth factors, and opportunities
5.5.2. Market size and forecast, by region
5.5.3. 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. Content Management
8.2.2. User Data Management
8.2.3. Real time analytics
8.2.4. Planning and scheduling
8.2.5. Key market trends, growth factors and opportunities
8.2.6. Market size and forecast, by region
8.2.7. Market analysis by country
8.2.8. Market size and forecast, by processing type
8.3. BFSI
8.3.1. Virtual Personal Assistant
8.3.2. Risk Management
8.3.3. Fraud Detection
8.3.4. Key market trends, growth factors and opportunities
8.3.5. Market size and forecast, by region
8.3.6. Market analysis by country
8.3.7. Market size and forecast, by processing type
8.4. IT & TELECOM
8.4.1. Churn Prediction
8.4.2. Network optimization
8.4.3. Virtual Assistance
8.4.4. Preventive Maintenance
8.4.5. Key market trends, growth factors and opportunities
8.4.6. Market size and forecast, by region
8.4.7. Market analysis by country
8.4.8. Market size and forecast, by processing type
8.5. RETAIL
8.5.1. Virtual Assistance
8.5.2. Demand planning and scheduling
8.5.3. Payment service management
8.5.4. Loyalty Management
8.5.5. Key market trends, growth factors and opportunities
8.5.6. Market size and forecast, by region
8.5.7. Market analysis by country
8.5.8. Market size and forecast, by processing type
8.6. HEALTHCARE
8.6.1. Risk Analysis
8.6.2. Imaging and diagnostics
8.6.3. Drug Discovery
8.6.4. Wearables
8.6.5. Key market trends, growth factors and opportunities
8.6.6. Market size and forecast, by region
8.6.7. Market analysis by country
8.6.8. Market size and forecast, by processing type
8.7. AUTOMOTIVE
8.7.1. Image Recognition
8.7.2. Control Devices
8.7.3. Key market trends, growth factors and opportunities
8.7.4. Market size and forecast, by region
8.7.5. Market analysis by country
8.7.6. 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
9.3.4. Market size and forecast, by technology
9.3.5. Market size and forecast, by processing type
9.3.6. Market size and forecast, by industry vertical
9.3.7. Market analysis by country
9.3.7.1. U.K.
9.3.7.1.1. Market size and forecast, by chip type
9.3.7.1.2. Market size and forecast, by application
9.3.7.1.3. Market size and forecast, by technology
9.3.7.1.4. Market size and forecast, by processing type
9.3.7.1.5. Market size and forecast, by industry vertical
9.3.7.2. Germany
9.3.7.2.1. Market size and forecast, by chip type
9.3.7.2.2. Market size and forecast, by application
9.3.7.2.3. Market size and forecast, by technology
9.3.7.2.4. Market size and forecast, by processing type
9.3.7.2.5. Market size and forecast, by industry vertical
9.3.7.3. France
9.3.7.3.1. Market size and forecast, by chip type
9.3.7.3.2. Market size and forecast, by application
9.3.7.3.3. Market size and forecast, by technology
9.3.7.3.4. Market size and forecast, by processing type
9.3.7.3.5. Market size and forecast, by industry vertical
9.3.7.4. Russia
9.3.7.4.1. Market size and forecast, by chip type
9.3.7.4.2. Market size and forecast, by application
9.3.7.4.3. Market size and forecast, by technology
9.3.7.4.4. Market size and forecast, by processing type
9.3.7.4.5. Market size and forecast, by industry vertical
9.3.7.5. Rest of Europe
9.3.7.5.1. Market size and forecast, by chip type
9.3.7.5.2. Market size and forecast, by application
9.3.7.5.3. Market size and forecast, by technology
9.3.7.5.4. Market size and forecast, by processing type
9.3.7.5.5. Market size and forecast, by industry vertical
9.4. ASIA-PACIFIC
9.4.1. Key market trends, growth factors, and opportunities
9.4.2. Market size and forecast, by chip type
9.4.3. Market size and forecast, by application
9.4.4. Market size and forecast, by technology
9.4.5. Market size and forecast, by processing type
9.4.6. Market size and forecast, by industry vertical
9.4.7. Market analysis by country
9.4.7.1. China
9.4.7.1.1. Market size and forecast, by chip type
9.4.7.1.2. Market size and forecast, by application
9.4.7.1.3. Market size and forecast, by technology
9.4.7.1.4. Market size and forecast, by processing type
9.4.7.1.5. Market size and forecast, by industry vertical
9.4.7.2. Japan
9.4.7.2.1. Market size and forecast, by chip type
9.4.7.2.2. Market size and forecast, by application
9.4.7.2.3. Market size and forecast, by technology
9.4.7.2.4. Market size and forecast, by processing type
9.4.7.2.5. Market size and forecast, by industry vertical
9.4.7.3. India
9.4.7.3.1. Market size and forecast, by chip type
9.4.7.3.2. Market size and forecast, by application
9.4.7.3.3. Market size and forecast, by technology
9.4.7.3.4. Market size and forecast, by processing type
9.4.7.3.5. Market size and forecast, by industry vertical
9.4.7.4. Australia
9.4.7.4.1. Market size and forecast, by chip type
9.4.7.4.2. Market size and forecast, by application
9.4.7.4.3. Market size and forecast, by technology
9.4.7.4.4. Market size and forecast, by processing type
9.4.7.4.5. Market size and forecast, by industry vertical
9.4.7.5. Rest of Asia-Pacific
9.4.7.5.1. Market size and forecast, by chip type
9.4.7.5.2. Market size and forecast, by application
9.4.7.5.3. Market size and forecast, by technology
9.4.7.5.4. Market size and forecast, by processing type
9.4.7.5.5. Market size and forecast, by industry vertical
9.5. LAMEA
9.5.1. Key market trends, growth factors, and opportunities
9.5.2. Market size and forecast, by chip type
9.5.3. Market size and forecast, by application
9.5.4. Market size and forecast, by technology
9.5.5. Market size and forecast, by processing type
9.5.6. Market size and forecast, by industry vertical
9.5.7. Market analysis by country
9.5.7.1. Latin America
9.5.7.1.1. Market size and forecast, by chip type
9.5.7.1.2. Market size and forecast, by application
9.5.7.1.3. Market size and forecast, by technology
9.5.7.1.4. Market size and forecast, by processing type
9.5.7.1.5. Market size and forecast, by industry vertical
9.5.7.2. Middle East
9.5.7.2.1. Market size and forecast, by chip type
9.5.7.2.2. Market size and forecast, by application
9.5.7.2.3. Market size and forecast, by technology
9.5.7.2.4. Market size and forecast, by processing type
9.5.7.2.5. Market size and forecast, by industry vertical
9.5.7.3. Africa
9.5.7.3.1. Market size and forecast, by chip type
9.5.7.3.2. Market size and forecast, by application
9.5.7.3.3. Market size and forecast, by technology
9.5.7.3.4. Market size and forecast, by processing type
9.5.7.3.5. Market size and forecast, by industry vertical

CHAPTER 10: COMPANY PROFILES
10.1. ADAPTEVA, INC.
10.1.1. Company overview
10.1.2. Company snapshot
10.1.3. Product portfolio
10.1.4. Key strategic moves and developments
10.1.5. Technological insights and key architecture
10.2. ADVANCED MICRO DEVICES, INC.
10.2.1. Company overview
10.2.2. Company snapshot
10.2.3. Operating business segments
10.2.4. Product portfolio
10.2.5. Business performance
10.2.6. Key strategic moves and developments
10.2.7. Technological insights and key architecture
10.3. ALPHABET INC. (GOOGLE INC.)
10.3.1. Company overview
10.3.2. Company snapshot
10.3.3. Operating business segments
10.3.4. Product portfolio
10.3.5. Business performance
10.3.6. Key strategic moves and developments
10.3.7. Technological insights and key architecture
10.4. AMAZON.COM, INC.
10.4.1. Company overview
10.4.2. Company snapshot
10.4.3. Operating business segments
10.4.4. Product portfolio
10.4.5. Business performance
10.4.6. Key strategic moves and developments
10.4.7. Technological insights and key architecture
10.5. ANALOG DEVICES, INC.
10.5.1. Company overview
10.5.2. Company snapshot
10.5.3. Operating business segments
10.5.4. Product portfolio
10.5.5. Business performance
10.5.6. Technological insights and key architecture
10.6. APPLIED MATERIALS, INC.
10.6.1. Company overview
10.6.2. Company snapshot
10.6.3. Operating business segments
10.6.4. Product portfolio
10.6.5. Business performance
10.6.6. Key strategic moves and developments
10.6.7. Technological insights and key architecture
10.7. BAIDU, INC.
10.7.1. Company overview
10.7.2. Company snapshot
10.7.3. Operating business segments
10.7.4. Product portfolio
10.7.5. Business performance
10.7.6. Key strategic moves and developments
10.7.7. Technological insights and key architecture
10.8. BITMAIN TECHNOLOGIES LTD.
10.8.1. Company overview
10.8.2. Company snapshot
10.8.3. Product portfolio
10.8.4. Key strategic moves and developments
10.8.5. Technological insights and key architecture
10.9. BROADCOM LIMITED
10.9.1. Company overview
10.9.2. Company snapshot
10.9.3. Operating business segments
10.9.4. Product portfolio
10.9.5. Business performance
10.9.6. Key strategic moves and developments
10.9.7. Technological insights and key architecture
10.10. CAMBRICON TECHNOLOGIES CORPORATION LIMITED
10.10.1. Company overview
10.10.2. Company snapshot
10.10.3. Operating business segments
10.10.6. Technological insights and key architecture
10.11. GRAPHCORE LTD.
10.11.1. Company overview
10.11.2. Company snapshot
10.11.3. Operating business segments
10.11.4. Product portfolio
10.11.5. Key strategic moves and developments
10.11.6. Technological insights and key architecture
10.12. GROQ
10.12.1. Company overview
10.12.2. Company snapshot
10.12.3. Product portfolio
10.12.4. Technological insights and key architecture
10.13. GYRFALCON TECHNOLOGY INC.
10.13.1. Company overview
10.13.2. Company snapshot
10.13.3. Operating business segments
10.13.4. Product portfolio
10.13.5. Technological insights and key architecture
10.14. HORIZON ROBOTICS, INC.
10.14.1. Company overview
10.14.2. Company snapshot
10.14.3. Product portfolio
10.14.4. Technological insights and key architecture
10.15. HUAWEI TECHNOLOGIES CO. LTD.
10.15.1. Company overview
10.15.2. Company snapshot
10.15.3. Operating business segments
10.15.4. Product portfolio
10.15.5. Business performance
10.15.6. Key strategic moves and developments
10.15.7. Technological insights and key architecture
10.16. INTEL CORPORATION
10.16.1. Company overview
10.16.2. Company snapshot
10.16.3. Operating business segments
10.16.4. Product portfolio
10.16.5. Business performance
10.16.6. Key strategic moves and developments
10.16.7. Technological insights and key architecture
10.17. INTERNATIONAL BUSINESS MANAGEMENT CORPORATION
10.17.1. Company overview
10.17.2. Company snapshot
10.17.3. Operating business segments
10.17.4. Product portfolio
10.17.5. Business performance
10.17.6. Key strategic moves and developments
10.17.7. Technological insights and key architecture
10.18. KNUEDGE, INC.
10.18.1. Company overview
10.18.2. Company snapshot
10.18.3. Product portfolio
10.18.4. Technological insights and key architecture
10.19. KRTKL INC.
10.19.1. Company overview
10.19.2. Company snapshot
10.19.3. Product portfolio
10.19.4. Technological insights and key architecture
10.20. MEDIATEK, INC.
10.20.1. Company overview
10.20.2. Company snapshot
10.20.3. Operating business segments
10.20.4. Product portfolio
10.20.5. Business performance
10.20.6. Key strategic moves and developments
10.20.7. Technological insights and key architecture
10.21. MICRON TECHNOLOGY, INC.
10.21.1. Company overview
10.21.2. Company snapshot
10.21.3. Operating business segments
10.21.4. Product portfolio
10.21.5. Business performance
10.21.6. Technological insights and key architecture
10.22. MICROSEMI CORPORATION
10.22.1. Company overview
10.22.2. Company snapshot
10.22.3. Operating business segments
10.22.4. Product portfolio
10.22.5. Business performance
10.22.6. Key strategic moves and developments
10.22.7. Technological insights and key architecture
10.23. MYTHIC, INC.
10.23.1. Company overview
10.23.2. Company snapshot
10.23.3. Product portfolio
10.23.4. Key strategic moves and developments
10.23.5. Technological insights and key architecture
10.24. NEC CORPORATION
10.24.1. Company overview
10.24.2. Company snapshot
10.24.3. Operating business segments
10.24.4. Product portfolio
10.24.5. Business performance
10.24.6. Key strategic moves and developments
10.24.7. Technological insights and key architecture
10.25. KOREA ELECTRONIC CERTIFICATION AUTHORITY, INC. (AI BRAIN, INC.)
10.25.1. Company overview
10.25.2. Company snapshot
10.25.3. Operating business segments
10.25.4. Product portfolio
10.25.5. Technological insights and key architecture
10.26. NVIDIA CORPORATION
10.26.1. Company overview
10.26.2. Company snapshot
10.26.3. Operating business segments
10.26.4. Product portfolio
10.26.5. Business performance
10.26.6. Key strategic moves and developments
10.26.7. Technological insights and key architecture
10.27. NXP SEMICONDUCTORS N.V.
10.27.1. Company overview
10.27.2. Company snapshot
10.27.3. Operating business segments
10.27.4. Product portfolio
10.27.5. Business performance
10.27.6. Key strategic moves and developments
10.27.7. Technological insights and key architecture
10.28. QUALCOMM INCORPORATED
10.28.1. Company overview
10.28.2. Company snapshot
10.28.3. Operating business segments
10.28.4. Product portfolio
10.28.5. Business performance
10.28.6. Key strategic moves and developments
10.28.7. Technological insights and key architecture
10.29. SAMSUNG ELECTRONICS CO. LTD.
10.29.1. Company overview
10.29.2. Company snapshot
10.29.3. Operating business segments
10.29.4. Product portfolio
10.29.5. Business performance
10.29.6. Key strategic moves and developments
10.29.7. Technological insights and key architecture
10.30. SHANGHAI THINK-FORCE ELECTRONIC TECHNOLOGY CO. LTD.
10.30.1. Company overview
10.30.2. Company snapshot
10.30.3. Product portfolio
10.30.4. Technological insights and key architecture
10.31. SK HYNIX, INC.
10.31.1. Company overview
10.31.2. Company snapshot
10.31.3. Operating business segments
10.31.4. Product portfolio
10.31.5. Business performance
10.31.6. Technological insights and key architecture
10.32. SOFTBANK GROUP CORP. (ARM HOLDINGS PLC)
10.32.1. Company overview
10.32.2. Company snapshot
10.32.3. Operating business segments
10.32.4. Product portfolio
10.32.5. Business performance
10.32.6. Key strategic moves and developments
10.32.7. Technological insights and key architecture
10.33. TAIWAN SEMICONDUCTOR MANUFACTURING COMPANY LIMITED
10.33.1. Company overview
10.33.2. Company snapshot
10.33.3. Operating business segments
10.33.4. Product portfolio
10.33.5. Business performance
10.33.6. Technological insights and key architecture
10.34. TENSTORRENT INC.
10.34.1. Company overview
10.34.2. Company snapshot
10.34.3. Product portfolio
10.34.4. Technological insights and key architecture
10.35. TEXAS INSTRUMENTS INCORPORATED
10.35.1. Company overview
10.35.2. Company snapshot
10.35.3. Operating business segments
10.35.4. Product portfolio
10.35.5. Business performance
10.35.6. Technological insights and key architecture
10.36. TOSHIBA CORPORATION
10.36.1. Company overview
10.36.2. Company snapshot
10.36.3. Operating business segments
10.36.4. Product portfolio
10.36.5. Business performance
10.36.6. Key strategic moves and developments
10.36.7. Technological insights and key architecture
10.37. UNIVERSITY OF CALIFORNIA SYSTEM (UNIVERSITY OF CALIFORNIA, DAVIS)
10.37.1. Company overview
10.37.2. Company snapshot
10.37.3. Operating business segments
10.37.4. Product portfolio
10.37.5. Business performance
10.37.6. Technological insights and key architecture
10.38. WAVE COMPUTING, INC.
10.38.1. Company overview
10.38.2. Company snapshot
10.38.3. Product portfolio
10.38.4. Key strategic moves and developments
10.38.5. Technological insights and key architecture
10.39. XILINX, INC.
10.39.1. Company overview
10.39.2. Company snapshot
10.39.3. Operating business segments
10.39.4. Product portfolio
10.39.5. Business performance
10.39.6. Technological insights and key architecture

*Full List of Tables and Figures Available on Enquiry.

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According to this report titled,'Artificial Intelligence Chip Market by Chip Type, Application, Technology, Processing Type, and Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2018 - 2025,'the global artificial intelligence chip market size was valued at $6,638.0 million in 2018, and is projected to reach $91,185.1 million by 2025, growing at a CAGR of 45.2% from 2019 to 2025.

At present, North America dominates the artificial intelligence chip market owing to technological advancements. Ongoing R&D activities in autonomous vehicles, healthcare, cyber security, and security & access control are expected to fuel the market growth. In addition, increase in penetration of head-up display screens in luxury cars, smart wearables, and growth in venture capital investments propel the adoption of AI solutions in this region, followed by Europe. In 2018, U.S. dominated the North America market and UK led the overall AI chip market in Europe. However, in Asia-Pacific, China currently dominates the market. China has progressively competed with the U.S. in technological innovations in AI. Many tech companies in China, such as Baidu, invested heavily in technology and have employed skilled employees from its foreign rivals. The enormous data generated by numerous internet users in the country is expected to be a key driving factor for the global artificial intelligence chip market growth. In addition, in May 2018, Cambricon (pioneer in the field of smart chips in the world) unveiled its 3rd generation AI chip for edge devices with the help of TSMC 7nm technology. In addition, the company aims for having one billion smart devices which is expected to be using its AI processor.

AI chips are powerful to handle large and parallel operations efficiently. Various chip makers companies are acquiring AI startups to enhance and strengthen their AI chip product portfolio. For instance, Intel acquired Nervana, a small AI software firm for its deep learning accelerator GPU chip. GPUs are highly adopted chip for neural networks. Neural network processors are built for deep learning, offering high speed bi-direction data transfer. GPU is a crucial component of AI and Machine Learning. Nvidia, AMD, Xilinx, Qualcomm, and Intel are some of the AI chip makers. Moreover, Apple, Qualcomm, Huawei, MediaTek, and Samsung are the top AI chip makers for the smartphone market. Nvidia and AMD are the top sellers to sell GPU for AI-based services. The growth of the global artificial intelligence chip market is driven by increase in demand for smart homes, development of smart cities, and emergence of quantum computing. AI can provide impetus to initiate smart city programs in the developing countries such as India. Tools and technologies that are artificially intelligent possess a massive potential in transforming interconnected digital homes and smart cities. Furthermore, the creation of a chip that embeds inbuilt AI network has emerged as an opportunity for the AI chip market. However, dearth of skilled workforce restrains the AI chip 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 artificial intelligence chip market.

Key Findings of the Artificial Intelligence Chip Market:

Based on chip type, the GPU segment led the AI chip market in 2018. However, the ASIC segment is anticipated to overtake the GPU type in the near future, in terms of revenue.
The natural language processing application dominated the global AI chip market in 2018.
The North America region held the majority of artificial intelligence chip market share in 2018.
By industry vertical, the BFSI segment dominated the global artificial intelligence chip market in 2018. However, the others segment is expected to grow at a highest CAGR during the forecast period.
Asia-Pacific is anticipated to exhibit the highest CAGR during the forecast period.
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The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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