Deep learning is a subset of machine learning and machine learning is a sub set of artificial learning. Deep learning models are designed to analyze data with a similar logical structure as the humans make decisions and outdraw conclusions.
Emergence of quantum computing and enhanced implementation of deep learning chips in robotics drive the growth of the global deep learning chip market considerably. Other factors positively affecting the growth of the deep learning chip market include increase in demand for smart homes and smart cities. Deep learning provides impetus to initiate smart city programs in 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, creation of a chip that embeds inbuilt AI network has emerged as an opportunity for the deep learning chip market. Further, emergence of quantum computing and increase in number of AI applications boost the growth of the deep learning chip market.
The global deep learning chip market is segmented on the basis of chip type, industry vertical, technology, and geography. On the basis of chip type, the market is categorized into graphics processing unit (GPU), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), central processing unit (CPU), and others. On the basis of technology, the market is divided into system-on-chip, system-in-package, multi-chip module, and others. On the basis of industry vertical, the market is classified into media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others. By region, the market is studied across North America, Europe, Asia-Pacific and LAMEA.
The report includes the study of the deep learning chip market with respect to the growth prospects and restraints based on the regional analysis. The study includes value chain analysis and Porter’s five forces analysis of the industry to determine the impact of suppliers, competitors, new entrants, substitutes, and buyers on the market growth.
The scope of the report discusses potential opportunities for key players to enter the deep learning chip market. Furthermore, it provides an in-depth analysis of the market, outlining current trends, key driving factors, and key areas of investment. The report includes Porter’s five forces analysis to understand the competitive scenario of the industry and role of each stakeholder in the value chain. Moreover, it features strategies adopted by key market players to maintain their foothold in the market.
The key players operating in this market include Advanced Micro Devices (AMD), Google, Inc., Intel Corporation, NVIDIA, Baidu, Bitmain Technologies, Qualcomm, Amazon, Xilinx, and Samsung. These key players have adopted strategies, such as product portfolio expansion, mergers & acquisitions, agreements, regional expansion, and collaboration, to enhance their market penetration.
Emergence of quantum computing and enhanced implementation of deep learning chips in robotics drive the growth of the global deep learning chip market considerably. Other factors positively affecting the growth of the deep learning chip market include increase in demand for smart homes and smart cities. Deep learning provides impetus to initiate smart city programs in 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, creation of a chip that embeds inbuilt AI network has emerged as an opportunity for the deep learning chip market. Further, emergence of quantum computing and increase in number of AI applications boost the growth of the deep learning chip market.
The global deep learning chip market is segmented on the basis of chip type, industry vertical, technology, and geography. On the basis of chip type, the market is categorized into graphics processing unit (GPU), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), central processing unit (CPU), and others. On the basis of technology, the market is divided into system-on-chip, system-in-package, multi-chip module, and others. On the basis of industry vertical, the market is classified into media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others. By region, the market is studied across North America, Europe, Asia-Pacific and LAMEA.
The report includes the study of the deep learning chip market with respect to the growth prospects and restraints based on the regional analysis. The study includes value chain analysis and Porter’s five forces analysis of the industry to determine the impact of suppliers, competitors, new entrants, substitutes, and buyers on the market growth.
The scope of the report discusses potential opportunities for key players to enter the deep learning chip market. Furthermore, it provides an in-depth analysis of the market, outlining current trends, key driving factors, and key areas of investment. The report includes Porter’s five forces analysis to understand the competitive scenario of the industry and role of each stakeholder in the value chain. Moreover, it features strategies adopted by key market players to maintain their foothold in the market.
The key players operating in this market include Advanced Micro Devices (AMD), Google, Inc., Intel Corporation, NVIDIA, Baidu, Bitmain Technologies, Qualcomm, Amazon, Xilinx, and Samsung. These key players have adopted strategies, such as product portfolio expansion, mergers & acquisitions, agreements, regional expansion, and collaboration, to enhance their market penetration.
KEY MARKET 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 PLAYERS
- AMD (Advanced Micro Devices)
- Google, Inc.
- Intel Corporation
- NVIDIA
- Baidu
- Bitmain Technologies
- Qualcomm
- Amazon
- Xilinx
- Samsung
Table of Contents
CHAPTER 1: INTRODUCTION1.1. REPORT DESCRIPTION1.2. 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 SUMMARY2.1. CXO PERSPECTIVE
CHAPTER 3: MARKET OVERVIEW3.1. 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 (2020)
3.5. MARKET DYNAMICS
3.5.1. Drivers
3.5.1.1. Increase in demand for smart homes and smart cities
3.5.1.2. Rise in investments in AI startups
3.5.1.3. Emergence of quantum computing
3.5.1.4. Growth in number of AI applications
3.5.2. Restraints
3.5.2.1. Dearth of skilled workforce
3.5.3. Opportunities
3.5.3.1. Increased adoption of deep learning chips in the developing regions
3.5.3.2. Development of smarter robots
CHAPTER 4: DEEP LEARNING CHIP MARKET, BY CHIP TYPE4.1. 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 AND 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: DEEP LEARNING CHIP MARKET, BY TECHNOLOGY5.1. 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: DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL6.1. 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: DEEP LEARNING CHIP MARKET, BY REGION7.1. 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. UK
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 PROFILES8.1. 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 DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030($MILLION)
TABLE 02. DEEP LEARNING CHIP MARKET REVENUE FOR GPU, BY REGION 2020-2030 ($MILLION)
TABLE 03. DEEP LEARNING CHIP MARKET REVENUE FOR ASIC, BY REGION, 2020-2030 ($MILLION)
TABLE 04. DEEP LEARNING CHIP MARKET REVENUE FOR FPGA, BY REGION, 2020-2030 ($MILLION)
TABLE 05. DEEP LEARNING CHIP MARKET REVENUE FOR CPU, BY REGION, 2020-2030 ($MILLION)
TABLE 06. DEEP LEARNING CHIP MARKET REVENUE FOR OTHERS, BY REGION, 2020-2030 ($MILLION)
TABLE 07. GLOBAL DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030($MILLION)
TABLE 08. DEEP LEARNING CHIP MARKET REVENUE FOR SYSTEM-ON-CHIP (SOC), BY REGION, 2020-2030 ($MILLION)
TABLE 09. DEEP LEARNING CHIP MARKET REVENUE FOR SYSTEM-IN-PACKAGE (SIP), BY REGION, 2020-2030 ($MILLION)
TABLE 10. DEEP LEARNING CHIP MARKET REVENUE FOR MULTI-CHIP MODULE, BY REGION, 2020-2030 ($MILLION)
TABLE 11. DEEP LEARNING CHIP MARKET REVENUE FOR OTHERS, BY REGION, 2020-2030 ($MILLION)
TABLE 12. GLOBAL DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 13. DEEP LEARNING CHIP MARKET REVENUE FOR MEDIA & ADVERTISING, BY REGION, 2020-2030 ($MILLION)
TABLE 14. DEEP LEARNING CHIP MARKET REVENUE FOR BFSI, BY REGION, 2020-2030 ($MILLION)
TABLE 15. DEEP LEARNING CHIP MARKET REVENUE FOR IT & TELECOM, BY REGION, 2020-2030 ($MILLION)
TABLE 16. DEEP LEARNING CHIP MARKET REVENUE FOR RETAIL, BY REGION, 2020-2030 ($MILLION)
TABLE 17. DEEP LEARNING CHIP MARKET REVENUE FOR HEALTHCARE, BY REGION, 2020-2030 ($MILLION)
TABLE 18. DEEP LEARNING CHIP MARKET REVENUE FOR AUTOMOTIVE, BY REGION, 2020-2030 ($MILLION)
TABLE 19. DEEP LEARNING CHIP MARKET REVENUE FOR OTHERS, BY REGION, 2020-2030 ($MILLION)
TABLE 20. GLOBAL DEEP LEARNING CHIP MARKET, BY REGION, 2020-2030 ($MILLION)
TABLE 21. NORTH AMERICAN DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 22. NORTH AMERICAN DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 23. NORTH AMERICAN DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 24. U.S. DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 25. U.S. DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 26. U.S. DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 27. CANADA DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 28. CANADA DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 29. CANADA DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 30. MEXICO DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 31. MEXICO DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 32. MEXICO DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 33. EUROPEAN DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 34. EUROPEAN DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 35. EUROPEAN DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 36. U. K. DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 37. UK DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 38. UK DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 39. GERMANY DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 40. GERMANY DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 41. GERMANY DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 42. FRANCE DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 43. FRANCE DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 44. FRANCE DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 45. RUSSIA DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 46. RUSSIA DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 47. RUSSIA DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 48. REST OF EUROPE DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 49. REST OF EUROPE DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 50. REST OF EUROPE DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 51. ASIA-PACIFIC DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 52. ASIA-PACIFIC DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 53. ASIA-PACIFIC DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 54. CHINA DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 55. CHINA DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 56. CHINA DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 57. JAPAN DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 58. JAPAN DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 59. JAPAN DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 60. INDIA DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 61. INDIA DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 62. INDIA DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 63. AUSTRALIA DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 64. AUSTRALIA DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 65. AUSTRALIA DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 66. REST OF ASIA-PACIFIC DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 67. REST OF ASIA-PACIFIC DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 68. REST OF ASIA-PACIFIC DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 69. LAMEA DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 70. LAMEA DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 71. LAMEA DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 72. LATIN AMERICA DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 73. LATIN AMERICA DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 74. LATIN AMERICA DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 75. MIDDLE EAST DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 76. MIDDLE EAST DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 77. MIDDLE EAST DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 78. AFRICA DEEP LEARNING CHIP MARKET, BY CHIP TYPE, 2020-2030 ($MILLION)
TABLE 79. AFRICA DEEP LEARNING CHIP MARKET, BY TECHNOLOGY, 2020-2030 ($MILLION)
TABLE 80. AFRICA DEEP LEARNING CHIP MARKET, BY INDUSTRY VERTICAL, 2020-2030 ($MILLION)
TABLE 81. 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. COMPANY SNAPSHOT
TABLE 90. AMD: OPERATING SEGMENTS
TABLE 91. AMD: PRODUCT PORTFOLIO
TABLE 92. AMD: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 93. COMPANY SNAPSHOT
TABLE 94. AMAZON. COM: OPERATING SEGMENTS
TABLE 95. AMAZON. COM: PRODUCT PORTFOLIO
TABLE 96. BAIDU: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 97. COMPANY SNAPSHOT
TABLE 98. BITMAIN TECHNOLOGIES: PRODUCT PORTFOLIO
TABLE 99. BITMAIN TECHNOLOGIES: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 100. COMPANY SNAPSHOT
TABLE 101. INTEL: OPERATING SEGMENTS
TABLE 102. INTEL: PRODUCT PORTFOLIO
TABLE 103. INTEL: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 104. COMPANY SNAPSHOT
TABLE 105. NVIDIA: OPERATING SEGMENTS
TABLE 106. NVIDIA: PRODUCT PORTFOLIO
TABLE 107. NVIDIA: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 108. COMPANY SNAPSHOT
TABLE 109. QUALCOMM: OPERATING SEGMENTS
TABLE 110. QUALCOMM: PRODUCT PORTFOLIO
TABLE 111. QUALCOMM: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 112. COMPANY SNAPSHOT
TABLE 113. SAMSUNG: OPERATING SEGMENTS
TABLE 114. SAMSUNG: PRODUCT PORTFOLIO
TABLE 115. SAMSUNG: TECHNOLOGICAL INSIGHTS AND KEY ARCHITECTURES
TABLE 116. 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, 2020-2030 (%)
FIGURE 07. TOP COMPANIES AND THEIR STRATEGIES
FIGURE 08. MARKET SHARE ANALYSIS (2020)
FIGURE 09. GLOBAL DEEP LEARNING CHIP MARKET SHARE, BY CHIP TYPE, 2020-2030 (%)
FIGURE 10. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR GPU, BY COUNTRY, 2020 & 2030 (%)
FIGURE 11. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR ASIC, BY COUNTRY, 2020 & 2030 (%)
FIGURE 12. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR FPGA, BY COUNTRY, 2020 & 2030 (%)
FIGURE 13. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR CPU, BY COUNTRY, 2020 & 2030 (%)
FIGURE 14. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR OTHERS, BY COUNTRY, 2020 & 2030 (%)
FIGURE 15. GLOBAL DEEP LEARNING CHIP MARKET SHARE, BY TECHNOLOGY, 2020-2030 (%)
FIGURE 16. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR SYSTEM-ON-CHIP (SOC), BY COUNTRY, 2020 & 2030 (%)
FIGURE 17. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR SYSTEM-IN-PACKAGE (SIP), BY COUNTRY, 2020 & 2030 (%)
FIGURE 18. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR MULTI-CHIP MODULE, BY COUNTRY, 2020 & 2030 (%)
FIGURE 19. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR OTHERS, BY COUNTRY, 2020 & 2030 (%)
FIGURE 20. GLOBAL DEEP LEARNING CHIP MARKET SHARE, BY INDUSTRY VERTICAL, 2020-2030 (%)
FIGURE 21. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR MEDIA & ADVERTISING, BY COUNTRY, 2020 & 2030 (%)
FIGURE 22. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR BFSI, BY COUNTRY, 2020 & 2030 (%)
FIGURE 23. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR IT & TELECOM, BY COUNTRY, 2020 & 2030 (%)
FIGURE 24. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR RETAIL, BY COUNTRY, 2020 & 2030 (%)
FIGURE 25. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR HEALTHCARE, BY COUNTRY, 2020 & 2030 (%)
FIGURE 26. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR AUTOMOTIVE, BY COUNTRY, 2020 & 2030 (%)
FIGURE 27. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET FOR OTHERS, BY COUNTRY, 2020 & 2030 (%)
FIGURE 28. DEEP LEARNING CHIP MARKET, BY REGION, 2020-2030 (%)
FIGURE 29. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET, BY COUNTRY, 2020-2030 (%)
FIGURE 30. U.S. DEEP LEARNING CHIP MARKET, 2020-2030 ($MILLION)
FIGURE 31. CANADA DEEP LEARNING CHIP MARKET, 2020-2030 ($MILLION)
FIGURE 32. MEXICO DEEP LEARNING CHIP MARKET, 2020-2030 ($MILLION)
FIGURE 33. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET, BY COUNTRY, 2020-2030 (%)
FIGURE 34. U. K. DEEP LEARNING CHIP MARKET, 2020-2030 ($MILLION)
FIGURE 35. GERMANY DEEP LEARNING CHIP MARKET, 2020-2030 ($MILLION)
FIGURE 36. FRANCE DEEP LEARNING CHIP MARKET, 2020-2030 ($MILLION)
FIGURE 37. RUSSIA DEEP LEARNING CHIP MARKET, 2020-2030 ($MILLION)
FIGURE 38. REST OF EUROPE DEEP LEARNING CHIP MARKET, 2020-2030 ($MILLION)
FIGURE 39. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET, BY COUNTRY, 2020-2030 (%)
FIGURE 40. CHINA DEEP LEARNING CHIP MARKET, 2020-2030 ($MILLION)
FIGURE 41. JAPAN DEEP LEARNING CHIP MARKET, 2020-2030 ($MILLION)
FIGURE 42. INDIA DEEP LEARNING CHIP MARKET, 2020-2030 ($MILLION)
FIGURE 43. AUSTRALIA DEEP LEARNING CHIP MARKET, 2020-2030 ($MILLION)
FIGURE 44. REST OF ASIA-PACIFIC DEEP LEARNING CHIP MARKET, 2020-2030 ($MILLION)
FIGURE 45. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING CHIP MARKET, BY COUNTRY, 2020-2030 (%)
FIGURE 46. LATIN AMERICA DEEP LEARNING CHIP MARKET, 2020-2030 ($MILLION)
FIGURE 47. MIDDLE EAST DEEP LEARNING CHIP MARKET, 2020-2030 ($MILLION)
FIGURE 48. AFRICA DEEP LEARNING CHIP MARKET, 2020-2030 ($MILLION)
FIGURE 49. ALPHABET:NET SALES, 2018-2021 ($MILLION)
FIGURE 50. ALPHABET: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 51. ALPHABET: REVENUE SHARE, BY GEOGRAPHY, 2020 (%)
FIGURE 52. AMAZON. COM:NET SALES, 2018-2021 ($MILLION)
FIGURE 53. AMAZON. COM: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 54. AMAZON. COM: REVENUE SHARE, BY GEOGRAPHY, 2020 (%)
FIGURE 55. AMD:NET SALES, 2018-2021 ($MILLION)
FIGURE 56. AMD: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 57. AMD: REVENUE SHARE, BY GEOGRAPHY, 2020 (%)
FIGURE 58. BAIDU:NET SALES, 2018-2021 ($MILLION)
FIGURE 59. BAIDU: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 60. INTEL:NET SALES, 2018-2021 ($MILLION)
FIGURE 61. INTEL: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 62. INTEL: REVENUE SHARE, BY GEOGRAPHY, 2020 (%)
FIGURE 63. NVIDIA:NET SALES, 2018-2021 ($MILLION)
FIGURE 64. NVIDIA: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 65. NVIDIA: REVENUE SHARE, BY GEOGRAPHY, 2020 (%)
FIGURE 66. QUALCOMM:NET SALES, 2018-2021 ($MILLION)
FIGURE 67. QUALCOMM: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 68. SAMSUNG: NET SALES, 2018-2021 ($MILLION)
FIGURE 69. SAMSUNG: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 70. SAMSUNG: REVENUE SHARE, BY GEOGRAPHY, 2020 (%)
FIGURE 71. XILINX: NET SALES, 2018-2021 ($MILLION)
FIGURE 72. XILINX: REVENUE SHARE, BY PRODUCT, 2020 (%)
FIGURE 73. XILINX: REVENUE SHARE, BY GEOGRAPHY, 2020 (%)
Companies Mentioned
- AMD (Advanced Micro Devices)
- Google Inc.
- Intel Corporation
- NVIDIA
- Baidu
- Bitmain Technologies
- Qualcomm
- Amazon
- Xilinx
- Samsung
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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