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Machine Learning Chip Market by Chip Type (GPU, ASIC, FPGA, CPU, and Others), Technology (System-on-chip, System-in-package, Multi-chip module, and Others), and Industry Vertical (Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, and Others) - Global Opportunity Analysis and Industry Forecast, 2018-2025

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SE_172055
Pages: 376
Aug 2018 | 5805 Views
 
Author's : Akshay Jadhav & Pranav Padalkar
Tables: 118
Charts: 74
 

Machine Learning Chip Market Overview:

The global machine learning chip market was valued at $2,425.6 million in 2017, and is projected to reach $37,849.8 million by 2025, registering a CAGR of 40.8% from 2018 to 2025.

Machine learning is a sub-set of artificial intelligence which performs tasks related to AI. It is currently being adopted by several industries around the world. This technology uses algorithms and computational methods to teach computers to think the way humans and animals may react in a particular situation. The performance of this machine learning algorithm can be improved by increasing the number of trials.

The trend in artificial intelligence (AI), use of machine learning in numerous applications, and emergence of quantum computing are the factors which increase the demand for machine learning chip market. In addition, the development of autonomous robots that control themselves without human intervention is anticipated to provide potential growth opportunities for the market. However, dearth of skilled workforce and AI phobia are the major restraints of the market. Moreover, increase in demand for smart homes & cities, increase in efforts to make more human-like robots, and popularity of IoT across the globe are expected to create tremendous opportunities for the market expansion.

The major companies profiled in the report include AMD (Advanced Micro Devices), Google Inc., Intel Corporation, NVIDIA, Baidu, Bitmain Technologies, Qualcomm, Amazon, Xilinx, Samsung.

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The global machine learning chip market is segmented based on chip type, industry vertical, technology, and geography. Based on chip type, the market is categorized into GPU, ASIC, FPGA, CPU, and others. Based on technology, the market is divided into system-on-chip, system-in-package, multi-chip module, and others. Based on industry vertical, it is classified into 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 key factors that drive the growth of the global machine learning chip market are emergence of quantum computing, growth in number of machine learning applications, and trend in artificial intelligence (AI). However, dearth of skilled workforce and AI Phobia hampers the market growth to a certain extent. The market has witnessed significant growth, owing to rise in demand for smart homes & smart cities, increase in efforts to make more human-like robots and popularity of IoT across the globe. Each of these factors is anticipated to have a definite impact on the machine learning chip market during the forecast period.

Emergence of Quantum Computing

Quantum computers take only a few seconds to complete a calculation that can 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 an innovative transformation of artificial intelligence, big data, and machine learning. Thus, emergence of quantum computing fuels the growth of the machine learning chip market.

Growth in Number of Machine Learning Applications

A machine learning chip is applied across media & advertising, manufacturing, finance, healthcare, automotive & transportation, law, electronic industry, and other sectors. The adoption of machine learning technology is expected to be higher in future, as machine learning algorithms are projected to be used to prevent payment frauds and cyberterrorism. Furthermore, machine learning chips are expected to affect healthcare advancements and lead to more accurate treatments and prevention of medical conditions. Furthermore, the time & cost benefits offered by machine learning chips are the major growth factors that facilitate increase in adoption of this technology in the developing regions. All these factors collectively fuel the growth of the machine learning chip market.

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Trending Artificial Intelligence (AI)

 AI encompasses machine learning, robotics, and collaborative systems. AI requires a machine learning chip to accelerate the system without human intervention. Moreover, the emergence of AI technology in several applications that range from chatbots to autonomous cars fuels the machine learning chip market. In addition, key players operating in the market are developing a new computing model that uses parallel processors to accelerate computing through advanced chips. For instance, NVIDIA unveiled a palm-sized, energy-efficient AI computer, DRIVE PX 2, which is powered by the company's newest system-on-chip, based on the NVIDIA Pascal architecture. Furthermore, industries such as healthcare, BFSI, automotive, and others are increasingly adopting AI technology, which in turn boost the growth of the machine learning chip market.

Dearth of Skilled Workforce

Machine learning chips consist of complex algorithms for its development. In addition, management of machine learning and automated systems is difficult at times. This requires exceptional software engineering skills and experience to deal with distributed and concurrent programming or debugging with communication protocols. However, many regions, particularly the emerging economies, lack the technical expertise. Hence, dearth of skilled workforce is a prominent restraining force of the market.

AI Phobia

AI is cheaper and more productive than people. In addition, it can work around the clock and quickly learn new skills to avoid mistakes. Furthermore, at the web summit in Portugal, humanoid robot Sophia said such features of AI are expected to replace the jobs of underwriters, office clerks, attorneys, receptionists, and creatives. Advances in machine learning chip allow AI to learn without humans. For Instance, on PolicyBazaar.com, almost 70% of all motor insurance policies are sold by robots. Also, the CEO of Google Sundar Pichai announced that most of the repetitive jobs are expected to be taken by AI in coming years, which is anticipated to hinder the growth of the machine learning chip market.

Increase in Demand for Smart Homes & Smart Cities

Machine learning chip can initiate smart city programs in the developing countries, such as India, China, and more. The tools and technologies already have an inbuilt machine learning chip that possess a huge potential to promote interconnected digital homes and smart cities. Furthermore, the creation of a chip with an embedded inbuilt AI network has emerged as an opportunity for the machine learning chip market.  

Key Benefits

  • This study comprises an analytical depiction of the global machine learning 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 strong foothold.
  • The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
  • Porter’s five forces analysis illustrates the potency of the buyers and suppliers in the industry.
  • The report includes the market share of key vendors and machine learning chip market trends.

Machine Learning Chip Market Key Segments:

By Chip Type

  • GPU
  • ASIC
  • FPGA
  • CPU
  • Others

By Technology

  • System-on-chip (SoC)
  • System-in-package (SIP)
  • Multi-chip module
  • Others

By Industry Vertical

  • Media & advertising
  • BFSI
  • IT & telecom
  • Retail
  • Healthcare
  • Automotive & transportation
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • Australia
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America
    • Middle East
    • Africa

Key Market Players Profiled

  • AMD (Advanced Micro Devices)
  • Google, Inc.
  • Intel Corporation
  • NVIDIA
  • Baidu
  • Bitmain Technologies
  • Qualcomm
  • Amazon
  • Xilinx
  • Samsung
 

Chapter: 1: INTRODUCTION

1.1. REPORT DESCRIPTION
1.2. KEY MARKET SEGMENTS
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 impacting factors
3.2.2. Top investment pockets
3.2.3. Top winning strategies

3.3. PORTER’S FIVE FORCES ANALYSIS

3.3.1. Moderate-to-high bargaining power of suppliers
3.3.2. Moderate-to-high threat of new entrants
3.3.3. Low-to-Moderate threat of substitutes
3.3.4. High-to-moderate intensity of rivalry
3.3.5. High-to-moderate bargaining power of buyers

3.4. MARKET SHARE ANALYSIS, 2017 (%)
3.5. MARKET DYNAMICS

3.5.1. Drivers

3.5.1.1. Emergence of quantum computing
3.5.1.2 Growth in number of machine learning applications
3.5.1.3 Trending Artificial Intelligence (AI)

3.5.2. Restraints

3.5.2.1 Dearth of skilled workforce
3.5.2.2 AI Phobia

3.5.3. Opportunities

3.5.3.1 Increase in demand for smart homes & smart cities
3.5.3.2 Increase in efforts to make more human-like robots
3.5.3.3 Popularity of IoT across the globe

Chapter: 4: MACHINE LEARNING 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: MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY

5.1. OVERVIEW
5.2. SYSTEM-ON-CHIP (SOC)

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. SYSTEM-IN-PACKAGE (SIP)

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. MULTI-CHIP MODULE

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. OTHERS (PACKAGE IN PACKAGE, TSV)

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

Chapter: 6: MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL

6.1. OVERVIEW
6.2. MEDIA & ADVERTISING

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. BFSI

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. IT & TELECOM

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. RETAIL

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

6.6. HEALTHCARE

6.6.1. Key market trends, growth factors and opportunities
6.6.2. Market size and forecast, by region
6.6.3. Market analysis by country

6.7. AUTOMOTIVE

6.7.1. Key market trends, growth factors and opportunities
6.7.2. Market size and forecast, by region
6.7.3. Market analysis by country

6.8. OTHERS

6.8.1. Key market trends, growth factors and opportunities
6.8.2. Market size and forecast, by region
6.8.3. Market analysis by country

Chapter: 7: MACHINE LEARNING CHIP MARKET, BY REGION

7.1. OVERVIEW
7.2. NORTH AMERICA

7.2.1. Key market trends, growth factors, and opportunities
7.2.2. Market size and forecast, by chip type
7.2.3. Market size and forecast, by technology
7.2.4. Market size and forecast, by industry vertical
7.2.5. Market analysis by country

7.2.5.1. U.S.

7.2.5.1.1. Market size and forecast, by chip type
7.2.5.1.2. Market size and forecast, by technology
7.2.5.1.3. Market size and forecast, by industry vertical

7.2.5.2. Canada

7.2.5.2.1. Market size and forecast, by chip type
7.2.5.2.2. Market size and forecast, by technology
7.2.5.2.3. Market size and forecast, by industry vertical

7.2.5.3. Mexico

7.2.5.3.1. Market size and forecast, by chip type
7.2.5.3.2. Market size and forecast, by technology
7.2.5.3.3. Market size and forecast, by industry vertical

7.3. EUROPE

7.3.1. Key market trends, growth factors, and opportunities
7.3.2. Market size and forecast, by chip type
7.3.3. Market size and forecast, by technology
7.3.4. Market size and forecast, by industry vertical
7.3.5. Market analysis by country

7.3.5.1. U.K.

7.3.5.1.1. Market size and forecast, by chip type
7.3.5.1.2. Market size and forecast, by technology
7.3.5.1.3. Market size and forecast, by industry vertical

7.3.5.2. Germany

7.3.5.2.1. Market size and forecast, by chip type
7.3.5.2.2. Market size and forecast, by technology
7.3.5.2.3. Market size and forecast, by industry vertical

7.3.5.3. France

7.3.5.3.1. Market size and forecast, by chip type
7.3.5.3.2. Market size and forecast, by technology
7.3.5.3.3. Market size and forecast, by industry vertical

7.3.5.4. Russia

7.3.5.4.1. Market size and forecast, by chip type
7.3.5.4.2. Market size and forecast, by technology
7.3.5.4.3. Market size and forecast, by industry vertical

7.3.5.5. Rest of Europe

7.3.5.5.1. Market size and forecast, by chip type
7.3.5.5.2. Market size and forecast, by technology
7.3.5.5.3. Market size and forecast, by industry vertical

7.4. ASIA-PACIFIC

7.4.1. Key market trends, growth factors, and opportunities
7.4.2. Market size and forecast, by chip type
7.4.3. Market size and forecast, by technology
7.4.4. Market size and forecast, by industry vertical
7.4.5. Market analysis by country

7.4.5.1. China

7.4.5.1.1. Market size and forecast, by chip type
7.4.5.1.2. Market size and forecast, by technology
7.4.5.1.3. Market size and forecast, by industry vertical

7.4.5.2. Japan

7.4.5.2.1. Market size and forecast, by chip type
7.4.5.2.2. Market size and forecast, by technology
7.4.5.2.3. Market size and forecast, by industry vertical

7.4.5.3. India

7.4.5.3.1. Market size and forecast, by chip type
7.4.5.3.2. Market size and forecast, by technology
7.4.5.3.3. Market size and forecast, by industry vertical

7.4.5.4. Australia

7.4.5.4.1. Market size and forecast, by chip type
7.4.5.4.2. Market size and forecast, by technology
7.4.5.4.3. Market size and forecast, by industry vertical

7.4.5.5. Rest of Asia-Pacific

7.4.5.5.1. Market size and forecast, by chip type
7.4.5.5.2. Market size and forecast, by technology
7.4.5.5.3. Market size and forecast, by industry vertical

7.5. LAMEA

7.5.1. Key market trends, growth factors, and opportunities
7.5.2. Market size and forecast, by chip type
7.5.3. Market size and forecast, by technology
7.5.4. Market size and forecast, by industry vertical
7.5.5. Market analysis by country

7.5.5.1. Latin America

7.5.5.1.1. Market size and forecast, by chip type
7.5.5.1.2. Market size and forecast, by technology
7.5.5.1.3. Market size and forecast, by industry vertical

7.5.5.2. Middle East

7.5.5.2.1. Market size and forecast, by chip type
7.5.5.2.2. Market size and forecast, by technology
7.5.5.2.3. Market size and forecast, by industry vertical

7.5.5.3. Africa

7.5.5.3.1. Market size and forecast, by chip type
7.5.5.3.2. Market size and forecast, by technology
7.5.5.3.3. Market size and forecast, by industry vertical

Chapter: 8: COMPANY PROFILES

8.1. ALPHABET INC. (GOOGLE INC.)

8.1.1. Company overview
8.1.2. Company snapshot
8.1.3. Operating business segments
8.1.4. Product portfolio
8.1.5. Business performance
8.1.6. Key strategic moves and developments
8.1.7. Technological insights and key architecture

8.2. AMAZON.COM, INC.

8.2.1. Company overview
8.2.2. Company snapshot
8.2.3. Operating business segments
8.2.4. Product portfolio
8.2.5. Business performance
8.2.6. Key strategic moves and developments
8.2.7. Technological insights and key architecture

8.3. ADVANCED MICRO DEVICES, INC.

8.3.1. Company overview
8.3.2. Company snapshot
8.3.3. Operating business segments
8.3.4. Product portfolio
8.3.5. Business performance
8.3.6. Key strategic moves and developments
8.3.7. Technological insights and key architecture

8.4. BAIDU, INC.

8.4.1. Company overview
8.4.2. Company snapshot
8.4.3. Operating business segments
8.4.4. Product portfolio
8.4.5. Business performance
8.4.6. Key strategic moves and developments
8.4.7. Technological insights and key architecture

8.5. BITMAIN TECHNOLOGIES LTD.

8.5.1. Company overview
8.5.2. Company snapshot
8.5.3. Product portfolio
8.5.4. Key strategic moves and developments
8.5.5. Technological insights and key architecture

8.6. INTEL CORPORATION

8.6.1. Company overview
8.6.2. Company snapshot
8.6.3. Operating business segments
8.6.4. Product portfolio
8.6.5. Business performance
8.6.6. Key strategic moves and developments
8.6.7. Technological insights and key architecture

8.7. NVIDIA CORPORATION

8.7.1. Company overview
8.7.2. Company snapshot
8.7.3. Operating business segments
8.7.4. Product portfolio
8.7.5. Business performance
8.7.6. Key strategic moves and developments
8.7.7. Technological insights and key architecture

8.8. QUALCOMM INCORPORATED

8.8.1. Company overview
8.8.2. Company snapshot
8.8.3. Operating business segments
8.8.4. Product portfolio
8.8.5. Business performance
8.8.6. Key strategic moves and developments
8.8.7. Technological insights and key architecture

8.9. SAMSUNG ELECTRONICS CO. LTD.

8.9.1. Company overview
8.9.2. Company snapshot
8.9.3. Operating business segments
8.9.4. Product portfolio
8.9.5. Business performance
8.9.6. Key strategic moves and developments
8.9.7. Technological insights and key architecture

8.10. XILINX, INC.

8.10.1. Company overview
8.10.2. Company snapshot
8.10.3. Operating business segments
8.10.4. Product portfolio
8.10.5. Business performance
8.10.6. Key strategic moves and developments
8.10.7. Technological insights and key architecture

LIST OF TABLES

TABLE 01. GLOBAL MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025($MILLION)
TABLE 02. MACHINE LEARNING CHIP MARKET REVENUE FOR GPU, BY REGION 2017-2025 ($MILLION)
TABLE 03. MACHINE LEARNING CHIP MARKET REVENUE FOR ASIC, BY REGION 2017-2025 ($MILLION)
TABLE 04. MACHINE LEARNING CHIP MARKET REVENUE FOR FPGA, BY REGION 2017-2025 ($MILLION)
TABLE 05. MACHINE LEARNING CHIP MARKET REVENUE FOR CPU, BY REGION 2017-2025 ($MILLION)
TABLE 06. MACHINE LEARNING CHIP MARKET REVENUE FOR OTHERS, BY REGION 2017-2025 ($MILLION)
TABLE 07. GLOBAL MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025($MILLION)
TABLE 08. MACHINE LEARNING CHIP MARKET REVENUE FOR SYSTEM-ON-CHIP (SOC), BY REGION 2017-2025 ($MILLION)
TABLE 09. MACHINE LEARNING CHIP MARKET REVENUE FOR SYSTEM-IN-PACKAGE (SIP), BY REGION 2017-2025 ($MILLION)
TABLE 10. MACHINE LEARNING CHIP MARKET REVENUE FOR MULTI-CHIP MODULE, BY REGION 2017-2025 ($MILLION)
TABLE 11. MACHINE LEARNING CHIP MARKET REVENUE FOR OTHERS, BY REGION 2017-2025 ($MILLION)
TABLE 12. GLOBAL MACHINE LEARNING CHIP MARKET, BY INDUTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 13. MACHINE LEARNING CHIP MARKET REVENUE FOR MEDIA & ADVERTISING, BY REGION, 2017-2025 ($MILLION)
TABLE 14. MACHINE LEARNING CHIP MARKET REVENUE FOR BFSI, BY REGION 2017-2025 ($MILLION)
TABLE 15. MACHINE LEARNING CHIP MARKET REVENUE FOR IT & TELECOM, BY REGION, 2017-2025 ($MILLION)
TABLE 16. MACHINE LEARNING CHIP MARKET REVENUE FOR RETAIL, BY REGION, 2017-2025 ($MILLION)
TABLE 17. MACHINE LEARNING CHIP MARKET REVENUE FOR HEALTHCARE, BY REGION 2017-2025 ($MILLION)
TABLE 18. MACHINE LEARNING CHIP MARKET REVENUE FOR AUTOMOTIVE, BY REGION 2017-2025 ($MILLION)
TABLE 19. ;MACHINE LEARNING CHIP MARKET REVENUE FOR OTHERS, BY REGION, 2017-2025 ($MILLION)
TABLE 20. GLOBAL MACHINE LEARNING CHIP MARKET, BY REGION, 2017-2025 ($MILLION)
TABLE 21. NORTH AMERICAN MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 22. NORTH AMERICAN MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 23. NORTH AMERICAN MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 24. U. S. MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 25. U. S. MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 26. U.S. MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 27. CANADA MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 28. CANADA MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 29. CANADA MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 30. MEXICO MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 31. MEXICO MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 32. MEXICO MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 33. EUROPEAN MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 34. EUROPEAN MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 35. EUROPEAN MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 36. U.K. MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 37. U.K. MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 38. U.K. MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 39. GERMANY MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 40. GERMANY MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 41. GERMANY MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 42. FRANCE MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 43. FRANCE MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 44. FRANCE MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 45. RUSSIA MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 46. RUSSIA MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 47. RUSSIA MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 48. REST OF EUROPE MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 49. REST OF EUROPE MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 50. REST OF EUROPE MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 51. ASIA-PACIFIC MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 52. ASIA-PACIFIC MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 53. ASIA-PACIFIC MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 54. CHINA MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 55. CHINA MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 56. CHINA MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 57. JAPAN MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 58. JAPAN MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 59. JAPAN MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 60. INDIA MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 61. INDIA MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 62. INDIA MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 63. AUSTRALIA MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 64. AUSTRALIA MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 65. AUSTRALIA MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 66. REST OF ASIA-PACIFIC MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 67. REST OF ASIA-PACIFIC MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 68. REST OF ASIA-PACIFIC MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 69. LAMEA MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 70. LAMEA MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 71. LAMEA MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 72. LATIN AMERICA MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 73. LATIN AMERICA MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 74. LATIN AMERICA MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 75. MIDDLE EAST MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 76. MIDDLE EAST MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 77. MIDDLE EAST MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 78. AFRICA MACHINE LEARNING CHIP MARKET, BY CHIP TYPE, 2017-2025 ($MILLION)
TABLE 79. AFRICA MACHINE LEARNING CHIP MARKET, BY TECHNOLOGY, 2017-2025 ($MILLION)
TABLE 80. AFRICA MACHINE LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2017-2025 ($MILLION)
TABLE 81. ALPHABET: COMPANY SNAPSHOT
TABLE 82. ALPHABET: OPERATING SEGMENTS
TABLE 83. ALPHABET: PRODUCT PORTFOLIO
TABLE 84. ALPHABET: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 85. AMAZON.COM: COMPANY SNAPSHOT
TABLE 86. AMAZON.COM: OPERATING SEGMENTS
TABLE 87. AMAZON.COM: PRODUCT PORTFOLIO
TABLE 88. AMAZON.COM: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 89. AMD: COMPANY SNAPSHOT
TABLE 90. AMD: OPERATING SEGMENTS
TABLE 91. AMD: PRODUCT PORTFOLIO
TABLE 92. AMD: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 93. AMAZON.COM: COMPANY SNAPSHOT
TABLE 94. AMAZON.COM: OPERATING SEGMENTS
TABLE 95. AMAZON.COM: PRODUCT PORTFOLIO
TABLE 96. BAIDU: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 97. BITMAIN TECHNOLOGIES: COMPANY SNAPSHOT
TABLE 98. BITMAIN TECHNOLOGIES: PRODUCT PORTFOLIO
TABLE 99. BITMAIN TECHNOLOGIES: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 100. INTEL: COMPANY SNAPSHOT
TABLE 101. INTEL: OPERATING SEGMENTS
TABLE 102. INTEL: PRODUCT PORTFOLIO
TABLE 103. INTEL: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 104. NVIDIA: COMPANY SNAPSHOT
TABLE 105. NVIDIA: OPERATING SEGMENTS
TABLE 106. NVIDIA: PRODUCT PORTFOLIO
TABLE 107. NVIDIA: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 108. QUALCOMM: COMPANY SNAPSHOT
TABLE 109. QUALCOMM: OPERATING SEGMENTS
TABLE 110. QUALCOMM: PRODUCT PORTFOLIO
TABLE 111. QUALCOMM: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 112. SAMSUNG: COMPANY SNAPSHOT
TABLE 113. SAMSUNG: OPERATING SEGMENTS
TABLE 114. SAMSUNG: PRODUCT PORTFOLIO
TABLE 115. SAMSUNG: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 116. XILINX: COMPANY SNAPSHOT
TABLE 117. XILINX: PRODUCT PORTFOLIO
TABLE 118. XILINX: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES

LIST OF FIGURES

FIGURE 01. KEY MARKET SEGMENTS
FIGURE 02. EXECUTIVE SUMMARY
FIGURE 03. EXECUTIVE SUMMARY
FIGURE 04. TOP IMPACTING FACTORS
FIGURE 05. TOP INVESTMENT POCKETS
FIGURE 06. TOP WINNING STRATEGIES, BY YEAR, 2015-2028 (%)
FIGURE 07. TOP WINNING STRATEGIES, 2017-2025 (%)
FIGURE 08. TOP COMPANIES AND THEIR STRATEGIES
FIGURE 09. MARKET SHARE ANALYSIS (2017)
FIGURE 10. GLOBAL MACHINE LEARNING CHIP MARKET SHARE, BY CHIP TYPE, 2017-2025 (%)
FIGURE 11. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET FOR GPU, BY COUNTRY, 2017 & 2025 (%)
FIGURE 12. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET FOR ASIC, BY COUNTRY, 2017 & 2025 (%)
FIGURE 13. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET FOR FPGA, BY COUNTRY, 2017 & 2025 (%)
FIGURE 14. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET FOR CPU, BY COUNTRY, 2017 & 2025 (%)
FIGURE 15. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET FOR OTHERS, BY COUNTRY, 2017 & 2025 (%)
FIGURE 16. GLOBAL MACHINE LEARNING CHIP MARKET SHARE, BY TECHNOLOGY, 2017-2025 (%)
FIGURE 17. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET FOR SYSTEM-ON-CHIP (SOC), BY COUNTRY, 2017 & 2025 (%)
FIGURE 18. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET FOR SYSTEM-IN-PACKAGE (SIP), BY COUNTRY, 2017 & 2025 (%)
FIGURE 19. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET FOR MULTI-CHIP MODULE, BY COUNTRY, 2017 & 2025 (%)
FIGURE 20. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET FOR OTHERS, BY COUNTRY, 2017 & 2025 (%)
FIGURE 21. GLOBAL MACHINE LEARNING CHIP MARKET SHARE, BY INDUSTRY VERTICAL, 2017-2025 (%)
FIGURE 22. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET FOR MEDIA & ADVERTISING, BY COUNTRY, 2017 & 2025 (%)
FIGURE 23. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET FOR BFSI, BY COUNTRY, 2017 & 2025 (%)
FIGURE 24. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET FOR IT & TELECOM, BY COUNTRY, 2017 & 2025 (%)
FIGURE 25. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET FOR RETAIL, BY COUNTRY, 2017 & 2025 (%)
FIGURE 26. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET FOR HEALTHCARE, BY COUNTRY, 2017 & 2025 (%)
FIGURE 27. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET FOR AUTOMOTIVE, BY COUNTRY, 2017 & 2025 (%)
FIGURE 28. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET FOR OTHERS, BY COUNTRY, 2017 & 2025 (%)
FIGURE 29. MACHINE LEARNING CHIP MARKET, BY REGION, 2017-2025 (%)
FIGURE 30. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET, BY COUNTRY, 2017-2025 (%)
FIGURE 31. U. S. MACHINE LEARNING CHIP MARKET, 2017-2025 ($MILLION)
FIGURE 32. CANADA MACHINE LEARNING CHIP MARKET, 2017-2025 ($MILLION)
FIGURE 33. MEXICO MACHINE LEARNING CHIP MARKET, 2017-2025 ($MILLION)
FIGURE 34. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET, BY COUNTRY, 2017-2025 (%)
FIGURE 35. U.K. MACHINE LEARNING CHIP MARKET, 2017-2025 ($MILLION)
FIGURE 36. GERMANY MACHINE LEARNING CHIP MARKET, 2017-2025 ($MILLION)
FIGURE 37. FRANCE MACHINE LEARNING CHIP MARKET, 2017-2025 ($MILLION)
FIGURE 38. RUSSIA MACHINE LEARNING CHIP MARKET, 2017-2025 ($MILLION)
FIGURE 39. REST OF EUROPE MACHINE LEARNING CHIP MARKET, 2017-2025 ($MILLION)
FIGURE 40. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET, BY COUNTRY, 2017-2025 (%)
FIGURE 41. CHINA MACHINE LEARNING CHIP MARKET, 2017-2025 ($MILLION)
FIGURE 42. JAPAN MACHINE LEARNING CHIP MARKET, 2017-2025 ($MILLION)
FIGURE 43. INDIA MACHINE LEARNING CHIP MARKET, 2017-2025 ($MILLION)
FIGURE 44. AUSTRALIA MACHINE LEARNING CHIP MARKET, 2017-2025 ($MILLION)
FIGURE 45. REST OF ASIA-PACIFIC MACHINE LEARNING CHIP MARKET, 2017-2025 ($MILLION)
FIGURE 46. COMPARATIVE SHARE ANALYSIS OF MACHINE LEARNING CHIP MARKET, BY COUNTRY, 2017-2025 (%)
FIGURE 47. LATIN AMERICA MACHINE LEARNING CHIP MARKET, 2017-2025 ($MILLION)
FIGURE 48. MIDDLE EAST MACHINE LEARNING CHIP MARKET, 2017-2025 ($MILLION)
FIGURE 49. AFRICA MACHINE LEARNING CHIP MARKET, 2017-2025 ($MILLION)
FIGURE 50. ALPHABET: NET SALES, 2015-2017 ($MILLION)
FIGURE 51. ALPHABET: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 52. ALPHABET: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 53. AMAZON.COM: NET SALES, 2015-2017 ($MILLION)
FIGURE 54. AMAZON.COM: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 55. AMAZON.COM: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 56. AMD: NET SALES, 2015-2017 ($MILLION)
FIGURE 57. AMD: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 58. AMD: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 59. BAIDU: NET SALES, 2015-2017 ($MILLION)
FIGURE 60. BAIDU: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 61. INTEL: NET SALES, 2015-2017 ($MILLION)
FIGURE 62. INTEL: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 63. INTEL: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 64. NVIDIA: NET SALES, 2015-2017 ($MILLION)
FIGURE 65. NVIDIA: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 66. NVIDIA: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 67. QUALCOMM: NET SALES, 2015-2017 ($MILLION)
FIGURE 68. QUALCOMM: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 69. SAMSUNG: NET SALES, 2015-2017 ($MILLION)
FIGURE 70. SAMSUNG: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 71. SAMSUNG: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 72. XILINX: NET SALES, 2015-2017 ($MILLION)
FIGURE 73. XILINX: REVENUE SHARE BY PRODUCT, 2017 (%)
FIGURE 74. XILINX: REVENUE SHARE BY GEOGRAPHY, 2017 (%)

 

The global machine learning chip market holds a high potential for the semiconductor industry. The current business scenario is witnessing an increase in the demand for machine learning chips, particularly in the developing regions, such as China, India, and others. The key players operating in the industry adopt various techniques to provide customers with advanced and innovative product offerings.

Emergence of quantum computing and trends in artificial intelligence (AI), drive the growth of the global machine learning chip market. In addition, rise in demand for smart homes & cities, and increase in efforts to make more human-like robots are anticipated to provide potential growth opportunities for the market. However, dearth of skilled workforce and AI phobia are the major restraints of the market.

North America exhibits the highest adoption of machine learning chips. On the other hand, Asia- pacific is expected to grow at a faster pace, predicting lucrative growth.

AMD (Advanced Micro Devices), Google, Inc., Intel Corporation, NVIDIA, Baidu, Bitmain Technologies, Qualcomm, Amazon, Xilinx, and Samsung are the key market players that occupy a significant revenue share in the global machine learning chip market.

 

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