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AI Chip Market by Chip Type (GPU, ASIC, FPGA, and CPU), Industry Vertical (Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, and Others), Technology (System-on-Chip, System-in-Package, Multi-Chip Module, and Others), and Application (Predictive Maintenance, Image Recognition, Contract Analytics, and Others) - Global Opportunity Analysis and Industry Forecast, 2017-2023

SE_174515
Pages: 352
Apr 2018 | 3294 Views
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Author's : Seapee Bajaj & Akshay Jadhav
Tables: 191
Charts: 105
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AI Chip Market Overview:

Artificial intelligence (AI) is one of the most progressive technologies of computer science since its introduction in the 1950s. It is associated to human intelligence with similar characteristics such as language understanding, reasoning, learning, problem solving, and others. Manufacturers in the market have witnessed enormous underlying intellectual challenges in the development and revision of such a technology. AI is positioned at the core of the next-generation software technologies in the market.

According to a recent report published by Allied Market Research,the global artificial intelligence chip market was valued at $661 million in 2016, and is projected to reach at $11,167 million by 2023, growing at a CAGR of 49.6% from 2017 to 2023.

Developments in making more human-like robots and increase in rate of deployments in the developing regions have transformed the overall market growth.

The current business scenario has witnessed an increase in the adoption of this technology particularly in the developing regions. The companies are adopting innovative techniques to provide customers with advanced and innovated product offerings.

Among the geographical, North America exhibits the highest adoption of AI. On the other hand, Asia-Pacific is expected to grow at a faster pace, predicting a lucrative market growth.

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.

These companies have adopted strategies such as collaboration, cooperation, partnership, product launch, R&D, and acquisition to increase their market share and expand their geographical presence.

Segment overview

The artificial intelligence chip market is segmented based on chip type, industry vertical, technology, application, and region. Based on technology, the market is categorized into GPU, ASIC, FPGA, and CPU. The industry verticals considered in the study include media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others. System-on-chip, system-in-package, multi-chip module, and others are the technologies considered. The applications analyzed in the study are predictive maintenance, image recognition, contract analytics, and others. Geographically, the market is sub-segmented into North America, Europe, Asia-Pacific, and LAMEA.
 

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Top Impacting Factors

Factors that are expected to impact the global artificial intelligence chip market during the forecast period are as follows:

  • Surge in demand for smart homes
  • Development of smart cities
  • Emergence of quantum computing
  • Lack of skilled workforce
  • Increase in investments in AI startups
     

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Increasing investments in AI startups

Many countries, especially the U.S., have witnessed significant growth in tech start-ups every year, backed by various venture capitalists and venture capitals, thus increasing the market scope. Further, the trend to integrate video surveillance and AI, paired with the rise in government spending for cyber security solutions that are integrated with real-time analytics and AI, is anticipated to boost the market.

Lack of skilled workforce

AI consists of complex algorithms for its development. Further, 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, lack of skilled workforce is a prominent restraining force for the market.

Increased adoption in developing regions

Recent developments in the emerging economies, such as China and India, in various industry verticals such as media & advertising, finance, retail, healthcare, automotive & transportation, and others have created a major growth potential for AI in such regions. The long-term time & cost benefits provided by AI are the major growth factors that lead to increased adoption of this technology in the developing regions.

Key Benefits

  • This study comprises analytical depiction of the global AI chip market with 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 foothold.
  • 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 2023 to highlight the financial competency of the market.
  • Porter’s Five Forces analysis illustrates the potency of the buyers and suppliers in the industry.

AI Chip Market Key Segments:

By Chip Type

  • GPU
  • ASIC
  • FPGA
  • CPU

By Industry Vertical

  • Media & Advertising
  • BFSI
  • IT & Telecom
  • Retail
  • Healthcare
  • Automotive & Transportation
  • Others

By Technology

  • System-on-chip
  • System-in-package
  • Multi-chip module
  • Others

By Application

  • Predictive maintenance
  • Image recognition
  • Contract analytics
  • 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
 

Chapter: 1 INTRODUCTION

1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS
1.3. RESEARCH METHODOLOGY

1.3.1. Primary research
1.3.2. Secondary research
1.3.3. Analyst tools and 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 winning strategies
3.2.2. Top investment pockets
3.2.3. Top impacting factors

3.3. PORTER’S FIVE FORCES

3.3.1. Bargaining power of suppliers
3.3.2. Bargaining power of buyers
3.3.3. Threat of substitutes
3.3.4. Threat of new entrants
3.3.5. Competitive rivalry

3.4. MARKET SHARE ANALYSIS, 2016
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. Restraints

3.5.2.1. Dearth of skilled workforce

3.5.3. Opportunity

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

4.3. ASIC

4.3.1. Key market trends, growth factors, and opportunities
4.3.2. Market size and forecast

4.4. FPGA

4.4.1. Key market trends, growth factors, and opportunities
4.4.2. Market size and forecast

4.5. CPU

4.5.1. Key market trends, growth factors, and opportunities
4.5.2. Market size and forecast

Chapter: 5 ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION

5.1. OVERVIEW
5.2. PREDICTIVE MAINTENANCE

5.2.1. Key market trends, growth factors, and opportunities
5.2.2. Market size and forecast

5.3. IMAGE RECOGNITION

5.3.1. Key market trends, growth factors, and opportunities
5.3.2. Market size and forecast

5.4. CONTRACT ANALYTICS

5.4.1. Key market trends, growth factors, and opportunities
5.4.2. Market size and forecast

5.5. OTHERS

5.5.1. Key market trends, growth factors, and opportunities
5.5.2. Market size and forecast

Chapter: 6 ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY

6.1. OVERVIEW
6.2. SYSTEM-ON-CHIP

6.2.1. Key market trends, growth factors, and opportunities
6.2.2. Market size and forecast

6.3. SYSTEM-IN-PACKAGE

6.3.1. Key market trends, growth factors, and opportunities
6.3.2. Market size and forecast

6.4. MULTI-CHIP MODULE

6.4.1. Key market trends, growth factors, and opportunities
6.4.2. Market size and forecast

6.5. OTHERS

6.5.1. Key market trends, growth factors, and opportunities
6.5.2. Market size and forecast

Chapter: 7 ARTIFICIAL INTELLIGENCE CHIP MARKET, BY INDUSTRY VERTICAL

7.1. OVERVIEW
7.2. MEDIA & ADVERTISING

7.2.1. Key market trends, key growth factors, and opportunities
7.2.2. Market size and forecast

7.3. BFSI

7.3.1. Key market trends, key growth factors, and opportunities
7.3.2. Market size and forecast

7.4. IT & TELECOM

7.4.1. Key market trends, key growth factors, and opportunities
7.4.2. Market size and forecast

7.5. RETAIL

7.5.1. Key market trends, key growth factors, and opportunities
7.5.2. Market size and forecast

7.6. HEALTHCARE

7.6.1. Key market trends, key growth factors, and opportunities
7.6.2. Market size and forecast

7.7. AUTOMOTIVE & TRANSPORTATION

7.7.1. Key market trends, key growth factors, and opportunities
7.7.2. Market size and forecast

7.8. OTHERS

7.8.1. Key market trends, key growth factors, and opportunities
7.8.2. Market size and forecast

Chapter: 8 ARTIFICIAL INTELLIGENCE CHIP MARKET, BY GEOGRAPHY

8.1. OVERVIEW
8.2. NORTH AMERICA

8.2.1. Key market trends, key growth factors, and opportunities
8.2.2. Market size and forecast, by chip type
8.2.3. Market size and forecast, by industry vertical
8.2.4. Market size and forecast, by technology
8.2.5. Market size and forecast, by application
8.2.6. Market size and forecast, by country
8.2.7. U.S.

8.2.7.1. Market size and forecast

8.2.8. Canada

8.2.8.1. Market size and forecast

8.2.9. Mexico

8.2.9.1. Market size and forecast

8.3. EUROPE

8.3.1. Key market trends, key growth factors, and opportunities
8.3.2. Market size and forecast, by chip type
8.3.3. Market size and forecast, by industry vertical
8.3.4. Market size and forecast, by technology
8.3.5. Market size and forecast, by application
8.3.6. Market size and forecast, by country
8.3.7. UK

8.3.7.1. Market size and forecast

8.3.8. Germany

8.3.8.1. Market size and forecast

8.3.9. France

8.3.9.1. Market size and forecast

8.3.10. Russia

8.3.10.1. Market size and forecast

8.3.11. Rest of Europe

8.3.11.1. Market size and forecast

8.4. ASIA-PACIFIC

8.4.1. Key market trends, key growth factors, and opportunities
8.4.2. Market size and forecast, by chip type
8.4.3. Market size and forecast, by industry vertical
8.4.4. Market size and forecast, by technology
8.4.5. Market size and forecast, by application
8.4.6. Market size and forecast, by country
8.4.7. China

8.4.7.1. Market size and forecast

8.4.8. Japan

8.4.8.1. Market size and forecast

8.4.9. India

8.4.9.1. Market size and forecast

8.4.10. Australia

8.4.10.1. Market size and forecast

8.4.11. Rest of Asia-Pacific

8.4.11.1. Market size and forecast

8.5. LAMEA

8.5.1. Key market trends, key growth factors, and opportunities
8.5.2. Market size and forecast, by chip type
8.5.3. Market size and forecast, by industry vertical
8.5.4. Market size and forecast, by technology
8.5.5. Market size and forecast, by application
8.5.6. Market size and forecast, by region
8.5.7. Latin America

8.5.7.1. Market size and forecast

8.5.8. Middle East

8.5.8.1. Market size and forecast

8.5.9. Africa

8.5.9.1. Market size and forecast

Chapter: 9 COMPANY PROFILES

9.1. ADAPTEVA, INC.

9.1.1. Company overview
9.1.3. Company snapshot
9.1.4. Product portfolio
9.1.5. Key strategic moves and developments
9.1.6. Technological insights and key architecture

9.2. ADVANCED MICRO DEVICES, INC.

9.2.1. Company overview
9.2.2. Company snapshot
9.2.3. Operating business segments
9.2.4. Product portfolio
9.2.5. Business performance
9.2.6. Key strategic moves and developments
9.2.7. Technological insights and key architecture

9.3. ALPHABET INC. (GOOGLE INC.)

9.3.1. Company overview
9.3.2. Company snapshot
9.3.3. Operating business segments
9.3.4. Product portfolio
9.3.5. Business performance
9.3.6. Key strategic moves and developments
9.3.7. Technological insights and key architecture

9.4. AMAZON.COM, INC.

9.4.1. Company overview
9.4.2. Company snapshot
9.4.3. Operating business segments
9.4.4. Product portfolio
9.4.5. Business performance
9.4.6. Key strategic moves and developments
9.4.7. Technological insights and key architecture

9.5. ANALOG DEVICES, INC.

9.5.1. Company overview
9.5.2. Company snapshot
9.5.3. Operating business segments
9.5.4. Product portfolio
9.5.5. Business performance
9.5.6. Technological insights and key architecture

9.6. APPLIED MATERIALS, INC.

9.6.1. Company overview
9.6.2. Company snapshot
9.6.3. Operating business segments
9.6.4. Product portfolio
9.6.5. Business performance
9.6.6. Key strategic moves and developments
9.6.7. Technological insights and key architecture

9.7. BAIDU, INC.

9.7.1. Company overview
9.7.2. Company snapshot
9.7.3. Operating business segments
9.7.4. Product portfolio
9.7.5. Business performance
9.7.6. Key strategic moves and developments
9.7.7. Technological insights and key architecture

9.8. BITMAIN TECHNOLOGIES LTD.

9.8.1. Company overview
9.8.2. Company snapshot
9.8.3. Product portfolio
9.8.4. Key strategic moves and developments
9.8.5. Technological insights and key architecture

9.9. BROADCOM LIMITED

9.9.1. Company overview
9.9.2. Company snapshot
9.9.3. Operating business segments
9.9.4. Product portfolio
9.9.5. Business performance
9.9.6. Technological insights and key architecture

9.10. CAMBRICON TECHNOLOGIES CORPORATION LIMITED

9.10.1. Company overview
9.10.2. Company snapshot
9.10.3. Operating business segments
9.10.4. Product portfolio
9.10.5. Technological insights and key architecture

9.11. DEEPHI TECHNOLOGY CO., LTD.

9.11.1. Company overview
9.11.2. Company snapshot
9.11.3. Operating business segments
9.11.4. Product portfolio
9.11.5. Key strategic moves and developments
9.11.6. Technological insights and key architecture

9.12. GRAPHCORE LTD.

9.12.1. Company overview
9.12.2. Company snapshot
9.12.3. Operating business segments
9.12.4. Product portfolio
9.12.5. Key strategic moves and developments
9.12.6. Technological insights and key architecture

9.13. GROQ

9.13.1. Company overview
9.13.2. Company snapshot
9.13.3. Product portfolio
9.13.4. Technological insights and key architecture

9.14. GYRFALCON TECHNOLOGY INC.

9.14.1. Company overview
9.14.2. Company snapshot
9.14.3. Operating business segments
9.14.4. Product portfolio
9.14.5. Technological insights and key architecture

9.15. HORIZON ROBOTICS, INC.

9.15.1. Company overview
9.15.2. Company snapshot
9.15.3. Product portfolio
9.15.4. Technological insights and key architecture

9.16. HUAWEI TECHNOLOGIES CO. LTD.

9.16.1. Company overview
9.16.2. Company snapshot
9.16.3. Operating business segments
9.16.4. Product portfolio
9.16.5. Business performance
9.16.6. Key strategic moves and developments
9.16.7. Technological insights and key architecture

9.17. INTEL CORPORATION

9.17.1. Company overview
9.17.2. Company snapshot
9.17.3. Operating business segments
9.17.4. Product portfolio
9.17.5. Business performance
9.17.6. Key strategic moves and developments
9.17.7. Technological insights and key architecture

9.18. INTERNATIONAL BUSINESS MANAGEMENT CORPORATION

9.18.1. Company overview
9.18.2. Company snapshot
9.18.3. Operating business segments
9.18.4. Product portfolio
9.18.5. Business performance
9.18.6. Key strategic moves and developments
9.18.7. Technological insights and key architecture

9.19. KNUEDGE, INC.

9.19.1. Company overview
9.19.2. Company snapshot
9.19.3. Product portfolio
9.19.4. Technological insights and key architecture

9.20. KRTKL INC.

9.20.1. Company overview
9.20.2. Company snapshot
9.20.3. Product portfolio
9.20.4. Technological insights and key architecture

9.21. MEDIATEK, INC.

9.21.1. Company overview
9.21.2. Company snapshot
9.21.3. Operating business segments
9.21.4. Product portfolio
9.21.5. Business performance
9.21.6. Key strategic moves and developments
9.21.7. Technological insights and key architecture

9.22. MICRON TECHNOLOGY, INC.

9.22.1. Company overview
9.22.2. Company snapshot
9.22.3. Operating business segments
9.22.4. Product portfolio
9.22.5. Business performance
9.22.6. Technological insights and key architecture

9.23. MICROSEMI CORPORATION

9.23.1. Company overview
9.23.2. Company snapshot
9.23.3. Operating business segments
9.23.4. Product portfolio
9.23.5. Business performance
9.23.6. Key strategic moves and developments
9.23.7. Technological insights and key architecture

9.24. MYTHIC, INC.

9.24.1. Company overview
9.24.2. Company snapshot
9.24.3. Product portfolio
9.24.4. Key strategic moves and developments
9.24.5. Technological insights and key architecture

9.25. NEC CORPORATION

9.25.1. Company overview
9.25.2. Company snapshot
9.25.3. Operating business segments
9.25.4. Product portfolio
9.25.5. Business performance
9.25.6. Key strategic moves and developments
9.25.7. Technological insights and key architecture

9.26. KOREA ELECTRONIC CERTIFICATION AUTHORITY, INC.  (AI BRAIN, INC.)

9.26.1. Company overview
9.26.2. Company snapshot
9.26.3. Operating business segments
9.26.4. Product portfolio
9.26.5. Technological insights and key architecture

9.27. NVIDIA CORPORATION

9.27.1. Company overview
9.27.2. Company snapshot
9.27.3. Operating business segments
9.27.4. Product portfolio
9.27.5. Business performance
9.27.6. Key strategic moves and developments
9.27.7. Technological insights and key architecture

9.28. NXP SEMICONDUCTORS N.V.

9.28.1. Company overview
9.28.2. Company snapshot
9.28.3. Operating business segments
9.28.4. Product portfolio
9.28.5. Business performance
9.28.6. Key strategic moves and developments
9.28.7. Technological insights and key architecture

9.29. QUALCOMM INCORPORATED

9.29.1. Company overview
9.29.2. Company snapshot
9.29.3. Operating business segments
9.29.4. Product portfolio
9.29.5. Business performance
9.29.6. Key strategic moves and developments
9.29.7. Technological insights and key architecture

9.30. SAMSUNG ELECTRONICS CO. LTD.

9.30.1. Company overview
9.30.2. Company snapshot
9.30.3. Operating business segments
9.30.4. Product portfolio
9.30.5. Business performance
9.30.6. Key strategic moves and developments
9.30.7. Technological insights and key architecture

9.31. SHANGHAI THINK-FORCE ELECTRONIC TECHNOLOGY CO. LTD.

9.31.1. Company overview
9.31.2. Company snapshot
9.31.3. Product portfolio
9.31.4. Technological insights and key architecture

9.32. SK HYNIX, INC.

9.32.1. Company overview
9.32.2. Company snapshot
9.32.3. Operating business segments
9.32.4. Product portfolio
9.32.5. Business performance
9.32.6. Technological insights and key architecture

9.33. SOFTBANK GROUP CORP. (ARM HOLDINGS PLC)

9.33.1. Company overview
9.33.2. Company snapshot
9.33.3. Operating business segments
9.33.4. Product portfolio
9.33.5. Business performance
9.33.6. Key strategic moves and developments
9.33.7. Technological insights and key architecture

9.34. TAIWAN SEMICONDUCTOR MANUFACTURING COMPANY LIMITED

9.34.1. Company overview
9.34.2. Company snapshot
9.34.3. Operating business segments
9.34.4. Product portfolio
9.34.5. Business performance
9.34.6. Technological insights and key architecture

9.35. TENSTORRENT INC.

9.35.1. Company overview
9.35.2. Company snapshot
9.35.3. Product portfolio
9.35.4. Technological insights and key architecture

9.36. TEXAS INSTRUMENTS INCORPORATED

9.36.1. Company overview
9.36.2. Company snapshot
9.36.3. Operating business segments
9.36.4. Product portfolio
9.36.5. Business performance
9.36.6. Technological insights and key architecture

9.37. TOSHIBA CORPORATION

9.37.1. Company overview
9.37.2. Company snapshot
9.37.3. Operating business segments
9.37.4. Product portfolio
9.37.5. Business performance
9.37.6. Key strategic moves and developments
9.37.7. Technological insights and key architecture

9.38. UNIVERSITY OF CALIFORNIA SYSTEM (UNIVERSITY OF CALIFORNIA, DAVIS)

9.38.1. Company overview
9.38.2. Company snapshot
9.38.3. Operating business segments
9.38.4. Product portfolio
9.38.5. Business performance
9.38.6. Technological insights and key architecture

9.39. WAVE COMPUTING, INC.

9.39.1. Company overview
9.39.2. Company snapshot
9.39.3. Product portfolio
9.39.4. Key strategic moves and developments
9.39.5. Technological insights and key architecture

9.40. XILINX, INC.

9.40.1. Company overview
9.40.2. Company snapshot
9.40.3. Operating business segments
9.40.4. Product portfolio
9.40.5. Business performance
9.40.6. Technological insights and key architecture

LIST OF TABLES

TABLE 1. GLOBAL ARTIFICIAL INTELLIGENCE CHIP MARKET, BY CHIP TYPE,  2016–2023 ($MILLION)
TABLE 2. GPU ARTIFICIAL INTELLIGENCE CHIP MARKET, BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 3. ASIC ARTIFICIAL INTELLIGENCE CHIP MARKET, BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 4. FPGA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 5. CPU ARTIFICIAL INTELLIGENCE CHIP MARKET, BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION,  2016–2023 ($MILLION)
TABLE 7. PREDICTIVE MAINTENANCE MARKET, BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 8. IMAGE RECOGNITION MARKET, BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 9. CONTRACT ANALYTICS MARKET, BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 10. OTHERS MARKET, BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY,  2016–2023 ($MILLION)
TABLE 12. SYSTEM-ON-CHIP MARKET, BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 13. SYSTEM-IN-PACKAGE MARKET, BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 14. MULTI-CHIP MODULE MARKET, BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 15. OTHERS MARKET, BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE CHIP MARKET, BY INDUSTRY VERTICAL, 2016–2023 ($MILLION)
TABLE 17. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR MEDIA & ADVERTISING,  BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 18. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR BFSI, BY GEOGRAPHY,  2016–2023 ($MILLION)
TABLE 19. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR IT & TELECOM, BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 20. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR RETAIL, BY GEOGRAPHY,  2016–2023 ($MILLION)
TABLE 21. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR HEALTHCARE, BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 22. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR AUTOMOTIVE & TRANSPORTATION, BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 23. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR OTHER INDUSTRY VERTICALS, BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 24. ARTIFICIAL INTELLIGENCE CHIP MARKET, BY GEOGRAPHY, 2016–2023 ($MILLION)
TABLE 25. NORTH AMERICA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY CHIP TYPE, 2016–2023 ($MILLION)
TABLE 26. NORTH AMERICA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY INDUSTRY VERTICAL, 2016–2023 ($MILLION)
TABLE 27. NORTH AMERICA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY, 2016–2023 ($MILLION)
TABLE 28. NORTH AMERICA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION, 2016–2023 ($MILLION)
TABLE 29. NORTH AMERICA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY COUNTRY, 2016–2023 ($MILLION)
TABLE 30. EUROPE ARTIFICIAL INTELLIGENCE CHIP MARKET, BY CHIP TYPE, 2016–2023 ($MILLION)
TABLE 31. EUROPE ARTIFICIAL INTELLIGENCE CHIP MARKET, BY INDUSTRY VERTICAL, 2016–2023 ($MILLION)
TABLE 32. EUROPE ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY,  2016–2023 ($MILLION)
TABLE 33. EUROPE ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION,  2016–2023 ($MILLION)
TABLE 34. EUROPE ARTIFICIAL INTELLIGENCE CHIP MARKET, BY COUNTRY, 2016–2023 ($MILLION)
TABLE 35. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE CHIP MARKET, BY CHIP TYPE,  2016–2023 ($MILLION)
TABLE 36. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE CHIP MARKET, BY INDUSTRY VERTICAL, 2016–2023 ($MILLION)
TABLE 37. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY, 2016–2023 ($MILLION)
TABLE 38. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION, 2016–2023 ($MILLION)
TABLE 39. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE CHIP MARKET, BY COUNTRY,  2016–2023 ($MILLION)
TABLE 40. LAMEA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY CHIP TYPE,  2016–2023 ($MILLION)
TABLE 41. LAMEA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY INDUSTRY VERTICAL,  2016–2023 ($MILLION)
TABLE 42. LAMEA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY,  2016–2023 ($MILLION)
TABLE 43. LAMEA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION,  2016–2023 ($MILLION)
TABLE 44. LAMEA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY REGION, 2016–2023 ($MILLION)
TABLE 45. ADAPTEVA: COMPANY SNAPSHOT
TABLE 46. ADAPTEVA: PRODUCT PORTFOLIO
TABLE 47. ADAPTEVA: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 48. AMD: COMPANY SNAPSHOT
TABLE 49. AMD: OPERATING SEGMENTS
TABLE 50. AMD: PRODUCT PORTFOLIO
TABLE 51. AMD: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 52. ALPHABET: COMPANY SNAPSHOT
TABLE 53. ALPHABET: OPERATING SEGMENTS
TABLE 54. ALPHABET: PRODUCT PORTFOLIO
TABLE 55. ALPHABET: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 56. AMAZON.COM: COMPANY SNAPSHOT
TABLE 57. AMAZON.COM: OPERATING SEGMENTS
TABLE 58. AMAZON.COM: PRODUCT PORTFOLIO
TABLE 59. AMAZON.COM: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 60. ANALOG DEVICES: COMPANY SNAPSHOT
TABLE 61. ANALOG DEVICES: OPERATING SEGMENTS
TABLE 62. ANALOG DEVICES: PRODUCT PORTFOLIO
TABLE 63. ANALOG DEVICES: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 64. APPLIED MATERIALS: COMPANY SNAPSHOT
TABLE 65. APPLIED MATERIALS: OPERATING SEGMENTS
TABLE 66. APPLIED MATERIALS: PRODUCT PORTFOLIO
TABLE 67. APPLIED MATERIALS: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 68. BAIDU: COMPANY SNAPSHOT
TABLE 69. BAIDU: OPERATING SEGMENTS
TABLE 70. BAIDU: PRODUCT PORTFOLIO
TABLE 71. BAIDU: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 72. BITMAIN TECHNOLOGIES: COMPANY SNAPSHOT
TABLE 73. BITMAIN TECHNOLOGIES: PRODUCT PORTFOLIO
TABLE 74. BITMAIN TECHNOLOGIES: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 75. BROADCOM: COMPANY SNAPSHOT
TABLE 76. BROADCOM: OPERATING SEGMENTS
TABLE 77. BROADCOM: PRODUCT PORTFOLIO
TABLE 78. BROADCOM: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 79. CAMBRIAN TECHNOLOGY: COMPANY SNAPSHOT
TABLE 80. CAMBRIAN TECHNOLOGY: OPERATING SEGMENTS
TABLE 81. CAMBRIAN TECHNOLOGY: PRODUCT PORTFOLIO
TABLE 82. CAMBRIAN TECHNOLOGY: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 83. DEEPHI TECH: COMPANY SNAPSHOT
TABLE 84. DEEPHI TECH: OPERATING SEGMENTS
TABLE 85. DEEPHI TECH: PRODUCT PORTFOLIO
TABLE 86. DEEPHI TECH: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 87. GRAPHCORE: COMPANY SNAPSHOT
TABLE 88. GRAPHCORE: OPERATING SEGMENTS
TABLE 89. GRAPHCORE: PRODUCT PORTFOLIO
TABLE 90. GRAPHCORE: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 91. GROQ: COMPANY SNAPSHOT
TABLE 92. GROQ: PRODUCT PORTFOLIO
TABLE 93. GROQ: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 94. GYRFALCON TECHNOLOGY: COMPANY SNAPSHOT
TABLE 95. GYRFALCON TECHNOLOGY: OPERATING SEGMENTS
TABLE 96. GYRFALCON TECHNOLOGY: PRODUCT PORTFOLIO
TABLE 97. GYRFALCON TECHNOLOGY: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 98. HORIZON ROBOTICS: COMPANY SNAPSHOT
TABLE 99. HORIZON ROBOTICS: PRODUCT PORTFOLIO
TABLE 100. HORIZON ROBOTICS: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 101. HUAWEI: COMPANY SNAPSHOT
TABLE 102. HUAWEI: OPERATING SEGMENTS
TABLE 103. HUAWEI: PRODUCT PORTFOLIO
TABLE 104. HUAWEI: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 105. INTEL: COMPANY SNAPSHOT
TABLE 106. INTEL: OPERATING SEGMENTS
TABLE 107. INTEL: PRODUCT PORTFOLIO
TABLE 108. INTEL: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 109. IBM: COMPANY SNAPSHOT
TABLE 110. IBM: OPERATING SEGMENTS
TABLE 111. IBM: PRODUCT PORTFOLIO
TABLE 112. IBM: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 113. KNUEDGE: COMPANY SNAPSHOT
TABLE 114. KNUEDGE: PRODUCT PORTFOLIO
TABLE 115. KNUEDGE: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 116. KRTKL: COMPANY SNAPSHOT
TABLE 117. KRTKL: PRODUCT PORTFOLIO
TABLE 118. KRTKL: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 119. MEDIATEK: COMPANY SNAPSHOT
TABLE 120. MEDIATEK: PRODUCT PORTFOLIO
TABLE 121. MEDIATEK: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 122. MICRON: COMPANY SNAPSHOT
TABLE 123. MICRON: OPERATING SEGMENTS
TABLE 124. MICRON: PRODUCT PORTFOLIO
TABLE 125. MICRON: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 126. MICROSEMI: COMPANY SNAPSHOT
TABLE 127. MICROSEMI: PRODUCT PORTFOLIO
TABLE 128. MICROSEMI: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 129. MYTHIC: COMPANY SNAPSHOT
TABLE 130. MYTHIC: PRODUCT PORTFOLIO
TABLE 131. MYTHIC: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 132. NEC: COMPANY SNAPSHOT
TABLE 133. NEC: OPERATING SEGMENTS
TABLE 134. NEC: PRODUCT PORTFOLIO
TABLE 135. NEC: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 136. CROSSCERT: COMPANY SNAPSHOT
TABLE 137. CROSSCERT: OPERATING SEGMENTS
TABLE 138. CROSSCERT: PRODUCT PORTFOLIO
TABLE 139. CROSSCERT: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 140. NVIDIA: COMPANY SNAPSHOT
TABLE 141. NVIDIA: OPERATING SEGMENTS
TABLE 142. NVIDIA: PRODUCT PORTFOLIO
TABLE 143. NVIDIA: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 144. NXP: COMPANY SNAPSHOT
TABLE 145. NXP: OPERATING SEGMENTS
TABLE 146. NXP: PRODUCT PORTFOLIO
TABLE 147. NXP: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 148. QUALCOMM: COMPANY SNAPSHOT
TABLE 149. QUALCOMM: OPERATING SEGMENTS
TABLE 150. QUALCOMM: PRODUCT PORTFOLIO
TABLE 151. QUALCOMM: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 152. SAMSUNG: COMPANY SNAPSHOT
TABLE 153. SAMSUNG: OPERATING SEGMENTS
TABLE 154. SAMSUNG: PRODUCT PORTFOLIO
TABLE 155. SAMSUNG: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 156. THINK FORCE: COMPANY SNAPSHOT
TABLE 157. THINK FORCE: PRODUCT PORTFOLIO
TABLE 158. THINK FORCE: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 159. SK HYNIX: COMPANY SNAPSHOT
TABLE 160. SK HYNIX: OPERATING SEGMENTS
TABLE 161. SK HYNIX: PRODUCT PORTFOLIO
TABLE 162. SK HYNIX: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 163. SOFTBANK GROUP: COMPANY SNAPSHOT
TABLE 164. SOFTBANK GROUP: OPERATING SEGMENTS
TABLE 165. SOFTBANK GROUP: PRODUCT PORTFOLIO
TABLE 166. ARM HOLDINGS PLC: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 167. TSMC: COMPANY SNAPSHOT
TABLE 168. TSMC: OPERATING SEGMENTS
TABLE 169. TSMC: PRODUCT PORTFOLIO
TABLE 170. TSMC: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 171. TENSTORRENT: COMPANY SNAPSHOT
TABLE 172. TENSTORRENT: PRODUCT PORTFOLIO
TABLE 173. TENSTORRENT: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 174. TI: COMPANY SNAPSHOT
TABLE 175. TI: OPERATING SEGMENTS
TABLE 176. TI: PRODUCT PORTFOLIO
TABLE 177. TI: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 178. TOSHIBA: COMPANY SNAPSHOT
TABLE 179. TOSHIBA: OPERATING SEGMENTS
TABLE 180. TOSHIBA: PRODUCT PORTFOLIO
TABLE 181. TOSHIBA: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 182. UC: COMPANY SNAPSHOT
TABLE 183. UC: PRODUCT SEGMENTS
TABLE 184. UC: PRODUCT PORTFOLIO
TABLE 185. UC: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 186. WAVE COMPUTING: COMPANY SNAPSHOT
TABLE 187. WAVE COMPUTING: PRODUCT PORTFOLIO
TABLE 188. WAVE COMPUTING: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 189. XILINX: COMPANY SNAPSHOT
TABLE 190. XILINX: PRODUCT PORTFOLIO
TABLE 191. XILINX: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES

LIST OF FIGURES

FIGURE 1. ARTIFICIAL INTELLIGENCE CHIP MARKET SNAPSHOT
FIGURE 2. TOP WINNING STRATEGIES, BY YEAR, 2014–2018*
FIGURE 3. TOP WINNING STRATEGIES, BY TYPE, 2014–2018*
FIGURE 4. TOP WINNING STRATEGIES, BY COMPANY, 2014–2018*
FIGURE 5. TOP INVESTMENT POCKETS
FIGURE 6. TOP IMPACTING FACTORS (2016–2023)
FIGURE 7. MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 8. HIGH BARGAINING POWER OF BUYERS
FIGURE 9. LOW THREAT OF SUBSTITUTES
FIGURE 10. LOW THREAT OF NEW ENTRANTS
FIGURE 11. HIGH COMPETITIVE RIVALRY
FIGURE 12. MARKET SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE CHIP COMPANIES, 2016 (%)
FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE CHIP MARKET, BY CHIP TYPE,  2016-2023 (%)
FIGURE 14. GPU ARTIFICIAL INTELLIGENCE CHIP MARKET, BY GEOGRAPHY,  2016-2023 (%)
FIGURE 15. ASIC ARTIFICIAL INTELLIGENCE CHIP MARKET, BY GEOGRAPHY,  2016-2023 (%)
FIGURE 16. FPGA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY GEOGRAPHY,  2016-2023 (%)
FIGURE 17. CPU ARTIFICIAL INTELLIGENCE CHIP MARKET, BY GEOGRAPHY,  2016-2023 (%)
FIGURE 18. GLOBAL ARTIFICIAL INTELLIGENCE CHIP MARKET, BY APPLICATION,  2016-2023 (%)
FIGURE 19. PREDICTIVE MAINTENANCE MARKET, BY GEOGRAPHY, 2016-2023 (%)
FIGURE 20. IMAGE RECOGNITION MARKET, BY GEOGRAPHY, 2016-2023 (%)
FIGURE 21. CONTRACT ANALYTICS MARKET, BY GEOGRAPHY, 2016-2023 (%)
FIGURE 22. OTHERS MARKET, BY GEOGRAPHY, 2016-2023 (%)
FIGURE 23. GLOBAL ARTIFICIAL INTELLIGENCE CHIP MARKET, BY TECHNOLOGY,  2016-2023 (%)
FIGURE 24. SYSTEM-ON-CHIP MARKET, BY GEOGRAPHY, 2016-2023 (%)
FIGURE 25. SYSTEM-IN-PACKAGE MARKET, BY GEOGRAPHY, 2016-2023 (%)
FIGURE 26. MULTI-CHIP MODULE MARKET, BY GEOGRAPHY, 2016-2023 (%)
FIGURE 27. OTHERS MARKET, BY GEOGRAPHY, 2016-2023 (%)
FIGURE 28. GLOBAL ARTIFICIAL INTELLIGENCE CHIP MARKET, BY INDUSTRY VERTICAL,  2016-2023 (%)
FIGURE 29. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR MEDIA & ADVERTISING,  BY GEOGRAPHY, 2016-2023 (%)
FIGURE 30. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR BFSI, BY GEOGRAPHY,  2016-2023 (%)
FIGURE 31. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR IT & TELECOM, BY GEOGRAPHY, 2016-2023 (%)
FIGURE 32. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR RETAIL, BY GEOGRAPHY,  2016-2023 (%)
FIGURE 33. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR HEALTHCARE, BY GEOGRAPHY, 2016-2023 (%)
FIGURE 34. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR AUTOMOTIVE & TRANSPORTATION, BY GEOGRAPHY, 2016-2023 (%)
FIGURE 35. ARTIFICIAL INTELLIGENCE CHIP MARKET FOR OTHER INDUSTRY VERTICALS, BY GEOGRAPHY, 2016-2023 (%)
FIGURE 36. ARTIFICIAL INTELLIGENCE CHIP MARKET, BY GEOGRAPHY, 2016-2023, (%)
FIGURE 37. NORTH AMERICA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY CHIP TYPE,  2016-2023 (%)
FIGURE 38. EUROPE ARTIFICIAL INTELLIGENCE CHIP MARKET, BY CHIP TYPE,  2016-2023 (%)
FIGURE 39. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE CHIP MARKET, BY CHIP TYPE 2016-2023 (%)
FIGURE 40. LAMEA ARTIFICIAL INTELLIGENCE CHIP MARKET, BY CHIP TYPE 2016-2023 (%)
FIGURE 41. AMD: NET SALES, 2015–2017 ($MILLION)
FIGURE 42. AMD: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 43. AMD: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 44. ALPHABET: NET SALES, 2015–2017 ($MILLION)
FIGURE 45. ALPHABET: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 46. ALPHABET: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 47. AMAZON.COM:  NET SALES, 2015–2017 ($MILLION)
FIGURE 48. AMAZON.COM: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 49. ANALOG DEVICES: NET SALES, 2015–2017 ($MILLION)
FIGURE 50. ANALOG DEVICES: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 51. ANALOG DEVICES: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 52. APPLIED MATERIALS: NET SALES, 2015–2017 ($MILLION)
FIGURE 53. APPLIED MATERIALS: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 54. APPLIED MATERIALS: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 55. BAIDU: NET SALES, 2015–2017 ($MILLION)
FIGURE 56. BAIDU: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 57. BROADCOM: NET SALES, 2015–2017 ($MILLION)
FIGURE 58. BROADCOM: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 59. BROADCOM: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 60. HUAWEI: NET SALES, 2014–2016 ($MILLION)
FIGURE 61. HUAWEI: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 62. HUAWEI: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 63. INTEL: NET SALES, 2015–2017 ($MILLION)
FIGURE 64. INTEL: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 65. INTEL: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 66. IBM: NET SALES, 2015–2017 ($MILLION)
FIGURE 67. IBM: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 68. IBM: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 69. MEDIATEK: NET SALES, 2014–2016 ($MILLION)
FIGURE 70. MEDIATEK: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 71. MICRON: NET SALES, 2015–2017 ($MILLION)
FIGURE 72. MICRON: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 73. MICRON: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 74. MICROSEMI: NET SALES, 2015–2017 ($MILLION)
FIGURE 75. MICROSEMI: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 76. NEC: NET SALES, 2015–2017 ($MILLION)
FIGURE 77. NEC: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 78. NVIDIA: NET SALES, 2015–2017 ($MILLION)
FIGURE 79. NVIDIA: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 80. NVIDIA: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 81. NXP: NET SALES, 2014–2016 ($MILLION)
FIGURE 82. NXP: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 83. NXP: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 84. QUALCOMM: NET SALES, 2015–2017 ($MILLION)
FIGURE 85. QUALCOMM: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 86. SAMSUNG: NET SALES, 2015–2017 ($MILLION)
FIGURE 87. SAMSUNG: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 88. SAMSUNG: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 89. SK HYNIX: NET SALES, 2014–2016 ($MILLION)
FIGURE 90. SOFTBANK GROUP: NET SALES, 2015–2017 ($MILLION)
FIGURE 91. SOFTBANK GROUP: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 92. SOFTBANK GROUP: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 93. TSMC: NET SALES, 2014–2016 ($MILLION)
FIGURE 94. TSMC: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 95. TI: NET SALES, 2015–2017 ($MILLION)
FIGURE 96. TI: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 97. TI: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 98. TOSHIBA: NET SALES, 2015–2017 ($MILLION)
FIGURE 99. TOSHIBA: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 100. TOSHIBA: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 101. UC: NET SALES, 2015–2017 ($MILLION)
FIGURE 102. UC: REVENUE SHARE BY PRODUCT SEGMENT, 2017 (%)
FIGURE 103. XILINX: NET SALES, 2015–2017 ($MILLION)
FIGURE 104. XILINX: REVENUE SHARE BY PRODUCT, 2017 (%)
FIGURE 105. XILINX: REVENUE SHARE BY GEOGRAPHY, 2017 (%)

 

As the amount of data is increasing, the need for more efficient systems to solve mathematical and computational problems becomes crucial. Further, the emergence of quantum computing and increase in implementation of AI chips in robotics drive the market growth to a considerable extent. The emergence of autonomous robotics—robots that develop and control themselves autonomously—presents a promising picture of the AI chip market.

The BFSI segment registers the highest growth, in terms of revenue generation, owing to increase in adoption in personalized financial services and fraud detection mechanisms. However, the others sector is expected to grow at the fastest pace during the forecast period.

The market is currently witnessing growth in the number of start-ups. For instance, multiple countries, especially the U.S., witness a considerable growth in tech start-ups every year that are backed by various venture capitalists and venture capitals. This has resulted in wider scope and lucrative growth of the market.

AMD (Advanced Micro Devices), Google Inc., Intel Corporation, NVIDIA, Baidu, Graphcore, Qualcomm, Adapteva, UC-Davis, Mythic, and others are the players that occupy a significant revenue share in the artificial intelligence chip market.

 

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