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| A04164 | Pages: 521 | May 2019 | 48756 Views | | |
| Author(s) : Rahul Kumar , Supradip Baul | Tables: 284 | Charts: NA |
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Pandemic disrupted the entire world and affected many industries.
Get detailed COVID-19 impact analysis on the Artificial Intelligence Chip Market
Request Now !The artificial intelligence chip market was valued at $6,638 million in 2018, and is projected to reach $91,185 million by 2025, registering a CAGR of 45.2% from 2019 to 2025. North America was the highest contributor to the global artificial intelligence chip market, with $2,437.0 million in 2018, and is estimated to reach 28,258.3 million by 2025, registering a CAGR of 41.7% during the forecast period.
Artificial intelligence (AI) chips are specialized silicon chips, which incorporate AI technology and are used for machine learning. AI helps to eliminate or minimize the risk to human life in many industry verticals. The need for more efficient systems to solve mathematical and computational problems is becoming crucial owing to the increase in volume of the data. Thus, the majority of the key players in the IT industry have focused on developing AI chips and applications. Furthermore, emergence of quantum computing and increase in implementation of AI chips in robotics drive the growth of the global artificial intelligence chip market. In addition, emergence of autonomous robotics—robots that develop and control themselves autonomously—is anticipated to provide potential growth opportunities for the market.
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However, dearth of skilled workforce is one of the major restraints of the artificial intelligence chip market. Most of the tasks, such as testing, bug fixing, cloud implementation, and others are taken over by AI chips; however, the delivery of such tasks lacks essential skillsets.
The major companies profiled in the report include Advanced Micro Devices (AMD), Google, Inc., Intel Corporation, NVIDIA, Baidu, Graphcore, Qualcomm, Adapteva, UC-Davis, Mythic, and others.
The global artificial intelligence chip market is segmented based on chip type, application, industry vertical, technology, processing type, and region. Based on chip type, the market is categorized into graphical processing unit (GPU), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), central processing unit (CPU), and others. The applications analyzed in the study are natural language processing (NLP), robotic, computer vision, network security, and others. Based on technology, the market is divided 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.
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TOP IMPACTING FACTORS
The significant impacting factors in the global artificial intelligence chip industry include increase in demand for smart homes, development of smart cities, and emergence of quantum computing. In addition, the market is also influenced by lack of skilled workforce, increased adoption of AI chips in the developing regions, and development of smarter robots. Each of these factors is anticipated to have a definite impact on the artificial intelligence chip market size during the forecast period.
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Increase in demand for smart homes and smart cities
AI has the ability to 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 to transform interconnected digital homes and smart cities. Furthermore, the creation of a chip that embeds an inbuilt AI network has emerged as an opportunity for the artificial intelligence chip market.
Rise in investments in AI startups
Multiple countries, especially the U.S., witness a considerable growth in tech start-ups every year, which are backed by various venture capitalists and venture capitals, thus increasing the market scope. Various key players have been innovating to build a dedicated platform; for instance, Mythic’s platform has an advantage of processing of digital/analog calculations in memory, which results in enhanced performance, accuracy, and power life. Furthermore, surge in need to integrate video surveillance & AI and rise in government spending for cybersecurity solutions that are integrated with real-time analytics & AI are anticipated to boost the artificial intelligence chip market growth.
Emergence of quantum computing
Quantum computers take seconds to complete a calculation that would otherwise take thousands of years; for instance, Google has a quantum computer that is 100 million times faster than today’s computing systems. Quantum computers are innovative transformation of artificial intelligence, big data, and machine learning. Thus, emergence of quantum computing fuels the growth of the artificial intelligence chip market.
Dearth of skilled workforce
AI consists of complex algorithms for its development. In addition, management of AI and automated systems is difficult at times. This requires exceptional software engineering skills and a notable experience in dealing with distributed and concurrent programming or debugging with communication protocols. However, many regions, particularly the emerging economies, lack people with such skills. Hence, dearth of a skilled workforce is a prominent restraining force of the artificial intelligence chip market.
Increased adoption of AI chips in the developing regions
Recent developments in the emerging economies, such as China and India, across various industry verticals, which include media & advertising, finance, retail, healthcare, automotive & transportation, and others, created a major growth potential for AI. The time and cost benefits provided by AI are the major growth factors leading to its increased adoption in the developing regions. All these factors together fuel the growth of the global AI chip market.
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Development of smarter robots
Many players have been building superior robot brains, which would enable machines to operate autonomously by deploying; for instance, Rethink Robotics’ Baxter is a research robot that is trained accordingly. Similarly, human-like robots are invented by Hanson Robotics, which are capable to carry a peculiar conversation and recall personal history. Furthermore, development of smarter virtual assistants is opportunistic for the overall market. A notable illustration is Jarvis Corp, which is a start-up in the conceptual phases, to build a virtual assistant that answers questions by accessing the internet and acting as an internet server and as a control for connected devices.
Key Market Segments
Key Market Players
Other Key Market Players
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
LIST OF TABLES
TABLE 01. AI CHIP TOP CUSTOMER SPEND, 2018
TABLE 02. GLOBAL ARTIFICIAL INTELLIGENCE CHIP MARKET, BY CHIP TYPE, 2017-2025($MILLION)
TABLE 03. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR GPU, BY REGION 2017-2025 ($MILLION)
TABLE 04. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR ASIC, BY REGION 2017-2025 ($MILLION)
TABLE 05. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR FPGA, BY REGION 2017-2025 ($MILLION)
TABLE 06. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR CPU, BY REGION 2017-2025 ($MILLION)
TABLE 07. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR OTHERS, BY REGION 2017-2025 ($MILLION)
TABLE 08. GLOBAL ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION, 2017-2025($MILLION)
TABLE 09. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR NLP, BY REGION 2017-2025 ($MILLION)
TABLE 10. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR ROBOTIC, BY REGION 2017-2025 ($MILLION)
TABLE 11. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR COMPUTER VISION, BY REGION 2017-2025 ($MILLION)
TABLE 12. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR NETWORK SECURITY, BY REGION 2017-2025 ($MILLION)
TABLE 13. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR OTHERS, BY REGION 2017-2025 ($MILLION)
TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY, 2017-2025($MILLION)
TABLE 15. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR SYSTEM-ON-CHIP (SOC), BY REGION 2017-2025 ($MILLION)
TABLE 16. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR SYSTEM-IN-PACKAGE (SIP), BY REGION 2017-2025 ($MILLION)
TABLE 17. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR MULTI-CHIP MODULE, BY REGION 2017-2025 ($MILLION)
TABLE 18. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR OTHERS, BY REGION 2017-2025 ($MILLION)
TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE CHIP MARKET, BY PROCESSING TYPE, 2017-2025($MILLION)
TABLE 20. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR SYSTEM-ON-CHIP (SOC), BY REGION 2017-2025 ($MILLION)
TABLE 21. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR CLOUD, BY REGION 2017-2025 ($MILLION)
TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE CHIP MARKET, BY INDUTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE CHIP MARKET, BY PROCESSING TYPE, 2017-2025 ($MILLION)
TABLE 24. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR MEDIA & ADVERTISING, BY REGION, 2017-2025 ($MILLION)
TABLE 25. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR MEDIA & ADVERTISING, BY PROCESSING TYPE, 2017-2025 ($MILLION)
TABLE 26. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR BFSI, BY REGION 2017-2025 ($MILLION)
TABLE 27. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR BFSI, BY PROCESSING TYPE, 2017-2025 ($MILLION)
TABLE 28. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR IT & TELECOM, BY REGION, 2017-2025 ($MILLION)
TABLE 29. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR IT & TELECOM, BY PROCESSING TYPE, 2017-2025 ($MILLION)
TABLE 30. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR RETAIL, BY REGION, 2017-2025 ($MILLION)
TABLE 31. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR RETAIL, BY PROCESSING TYPE, 2017-2025 ($MILLION)
TABLE 32. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR HEALTHCARE, BY REGION 2017-2025 ($MILLION)
TABLE 33. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR HEALTHCARE, BY PROCESSING TYPE, 2017-2025 ($MILLION)
TABLE 34. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR AUTOMOTIVE, BY REGION 2017-2025 ($MILLION)
TABLE 35. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR AUTOMOTIVE, BY PROCESSING TYPE, 2017-2025 ($MILLION)
TABLE 36. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR OTHERS, BY REGION, 2017-2025 ($MILLION)
TABLE 37. ARTIFICIAL INTELLIGENCE CHIP MARKET REVENUE FOR OTHERS, BY PROCESSING TYPE, 2017-2025 ($MILLION)
TABLE 38. NORTH AMERICAN ARTIFICIAL INTELLIGENCE CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 39. NORTH AMERICAN ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION, 2017-2025 ($MILLION)
TABLE 40. NORTH AMERICAN ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 41. NORTH AMERICAN ARTIFICIAL INTELLIGENCE CHIP MARKET, BY PROCESSING TYPE, 2017-2025 ($MILLION)
TABLE 42. NORTH AMERICAN ARTIFICIAL INTELLIGENCE CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 43. U. S. ARTIFICIAL INTELLIGENCE CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 44. U. S. ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION, 2017-2025 ($MILLION)
TABLE 45. U. S. ARTIFICIAL INTELLIGENCE CHIP MARKET, BY T
The global artificial intelligence chip market holds a high potential for the semiconductor industry. The current business scenario witnessed an increase in the demand for AI chips, particularly in the developing regions, such as China, India, and others. Companies in this industry adopt various innovative techniques to provide customers with advanced and innovative product offerings.
The factors such as increase in demand for smart homes, development of smart cities, and emergence of quantum computing majorly drive the growth of the global market. Despite such advantages, lack of skilled workforce impedes the market growth. In the near future, increased adoption of AI chips in the developing regions and development of smarter robots are expected to provide lucrative growth opportunities for the key players operating in the global artificial intelligence chip market.
North America accounted for the highest revenue share in the global market in 2018 followed by Europe, Asia-Pacific, and LAMEA. However, Asia-Pacific is expected to grow at a higher rate during the forecast period.
Advanced Micro Devices (AMD), Google, Inc., Intel Corporation, NVIDIA, Baidu, Graphcore, Qualcomm, Adapteva, UC-Davis, Mythic, and others are the key market players that occupy a significant revenue share in the artificial intelligence chip market.
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