Global AI Infrastructure Market

AI Infrastructure Comprehensive Study by Type (Hardware (Processor (CPU, GPU, FPGA, ASIC) Memory, Storage, Networking), Server Software), Function (Training, Inference), Technology (Machine learning, Deep learning), Deployment Model (On-premises, Cloud, Hybrid), End User (Enterprises, Government organizations, Cloud service providers) Players and Region - Global Market Outlook to 2026

AI Infrastructure Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
The AI Infrastructure market is expected to grow in the future due to the increasing adoption of cloud machine learning platforms and rise in the popularity of AI data centers. The increasing use of industrial IoT, robotics, and big data across domains is fueling the growth of the global AI infrastructure market.This growth is primarily driven by An Increasing Adoption of Cloud Machine Learning Platform and Rising Adoption of AI Applications in Various Industries Such as Healthcare, Automotive, Finance, and Tourism.

Globally, a noticeable market trend is evident Increasing Use of Cloud Solutions in AI Infrastructure. Major Players, such as Intel Corporation (United States), NVIDIA Corporation (United States), IBM (United States), Samsung Electronics (South Korea), Google (United States), Microsoft (United States), Micron Technology (United States), Amazon Web Services (United States), CISCO (United States) and Oracle (United States) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

Key Developments in the Market:
In Nov 2019, Atos and Intel announced a multiyear collaboration focused on delivering the next generation of exaclass systems for high-performance computing (HPC) and artificial intelligence (AI). The collaboration builds on the two companies’ long-standing partnerships to further accelerate scientific and business innovation.
In Aug 2020, Coca-Cola European Partners (CCEP) has signed a multiyear agreement with IBM to accelerate its transformation to an open hybrid cloud environment using Red Hat OpenShift and Red Hat Enterprise Linux. The move is designed to reduce its operational expenses, increase IT resiliency, and leverage analytics and Artificial Intelligence (AI) in its daily operations to bring enhanced business insights and deliver greater service to its millions of customers., and In June 2020, Intel introduced its 3rd Gen Intel® Xeon® Scalable processors and additions to its hardware and software AI portfolio, enabling customers to accelerate the development and use of artificial intelligence (AI) and analytics workloads running in data center, network and intelligent-edge environments.

Market Drivers
  • An Increasing Adoption of Cloud Machine Learning Platform
  • Rising Adoption of AI Applications in Various Industries Such as Healthcare, Automotive, Finance, and Tourism

Market Trend
  • Increasing Use of Cloud Solutions in AI Infrastructure

Restraints
  • Lack of AI Hardware Experts

Opportunities
Rising Focus on Developing Human-Aware AI Systems and Surging Demand for FPGA-Based Accelerators
Challenges
Availability of Limited Structured Data to Train and Develop Efficient AI Systems and Concerns Regarding Data Privacy in AI Platforms

AMA Research follow a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.

Customization in the Report
AMA Research features not only specific market forecasts, but also include significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, AI Infrastructure Study Sheds Light on
— The AI Infrastructure Market status quo and key characteristics. To end this, Analyst at AMA organize and took survey of the AI Infrastructure industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where AI Infrastructure industry is heading and what are the top priorities. Insights are drawn from financial analysis, the survey and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold value they currently claim, or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • Hardware (Processor (CPU, GPU, FPGA, ASIC) Memory, Storage, Networking)
  • Server Software
By Function
  • Training
  • Inference

By Technology
  • Machine learning
  • Deep learning

By Deployment Model
  • On-premises
  • Cloud
  • Hybrid

By End User
  • Enterprises
  • Government organizations
  • Cloud service providers

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. An Increasing Adoption of Cloud Machine Learning Platform
      • 3.2.2. Rising Adoption of AI Applications in Various Industries Such as Healthcare, Automotive, Finance, and Tourism
    • 3.3. Market Challenges
      • 3.3.1. Availability of Limited Structured Data to Train and Develop Efficient AI Systems
      • 3.3.2. Concerns Regarding Data Privacy in AI Platforms
    • 3.4. Market Trends
      • 3.4.1. Increasing Use of Cloud Solutions in AI Infrastructure
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global AI Infrastructure, by Type, Function, Technology, Deployment Model, End User and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global AI Infrastructure (Value)
      • 5.2.1. Global AI Infrastructure by: Type (Value)
        • 5.2.1.1. Hardware (Processor (CPU, GPU, FPGA, ASIC) Memory, Storage, Networking)
        • 5.2.1.2. Server Software
      • 5.2.2. Global AI Infrastructure by: Function (Value)
        • 5.2.2.1. Training
        • 5.2.2.2. Inference
      • 5.2.3. Global AI Infrastructure by: Technology (Value)
        • 5.2.3.1. Machine learning
        • 5.2.3.2. Deep learning
      • 5.2.4. Global AI Infrastructure by: Deployment Model (Value)
        • 5.2.4.1. On-premises
        • 5.2.4.2. Cloud
        • 5.2.4.3. Hybrid
      • 5.2.5. Global AI Infrastructure by: End User (Value)
        • 5.2.5.1. Enterprises
        • 5.2.5.2. Government organizations
        • 5.2.5.3. Cloud service providers
      • 5.2.6. Global AI Infrastructure Region
        • 5.2.6.1. South America
          • 5.2.6.1.1. Brazil
          • 5.2.6.1.2. Argentina
          • 5.2.6.1.3. Rest of South America
        • 5.2.6.2. Asia Pacific
          • 5.2.6.2.1. China
          • 5.2.6.2.2. Japan
          • 5.2.6.2.3. India
          • 5.2.6.2.4. South Korea
          • 5.2.6.2.5. Taiwan
          • 5.2.6.2.6. Australia
          • 5.2.6.2.7. Rest of Asia-Pacific
        • 5.2.6.3. Europe
          • 5.2.6.3.1. Germany
          • 5.2.6.3.2. France
          • 5.2.6.3.3. Italy
          • 5.2.6.3.4. United Kingdom
          • 5.2.6.3.5. Netherlands
          • 5.2.6.3.6. Rest of Europe
        • 5.2.6.4. MEA
          • 5.2.6.4.1. Middle East
          • 5.2.6.4.2. Africa
        • 5.2.6.5. North America
          • 5.2.6.5.1. United States
          • 5.2.6.5.2. Canada
          • 5.2.6.5.3. Mexico
  • 6. AI Infrastructure: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Intel Corporation (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. NVIDIA Corporation (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. IBM (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Samsung Electronics (South Korea)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Google (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Microsoft (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Micron Technology (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Amazon Web Services (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. CISCO (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Oracle (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global AI Infrastructure Sale, by Type, Function, Technology, Deployment Model, End User and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global AI Infrastructure (Value)
      • 7.2.1. Global AI Infrastructure by: Type (Value)
        • 7.2.1.1. Hardware (Processor (CPU, GPU, FPGA, ASIC) Memory, Storage, Networking)
        • 7.2.1.2. Server Software
      • 7.2.2. Global AI Infrastructure by: Function (Value)
        • 7.2.2.1. Training
        • 7.2.2.2. Inference
      • 7.2.3. Global AI Infrastructure by: Technology (Value)
        • 7.2.3.1. Machine learning
        • 7.2.3.2. Deep learning
      • 7.2.4. Global AI Infrastructure by: Deployment Model (Value)
        • 7.2.4.1. On-premises
        • 7.2.4.2. Cloud
        • 7.2.4.3. Hybrid
      • 7.2.5. Global AI Infrastructure by: End User (Value)
        • 7.2.5.1. Enterprises
        • 7.2.5.2. Government organizations
        • 7.2.5.3. Cloud service providers
      • 7.2.6. Global AI Infrastructure Region
        • 7.2.6.1. South America
          • 7.2.6.1.1. Brazil
          • 7.2.6.1.2. Argentina
          • 7.2.6.1.3. Rest of South America
        • 7.2.6.2. Asia Pacific
          • 7.2.6.2.1. China
          • 7.2.6.2.2. Japan
          • 7.2.6.2.3. India
          • 7.2.6.2.4. South Korea
          • 7.2.6.2.5. Taiwan
          • 7.2.6.2.6. Australia
          • 7.2.6.2.7. Rest of Asia-Pacific
        • 7.2.6.3. Europe
          • 7.2.6.3.1. Germany
          • 7.2.6.3.2. France
          • 7.2.6.3.3. Italy
          • 7.2.6.3.4. United Kingdom
          • 7.2.6.3.5. Netherlands
          • 7.2.6.3.6. Rest of Europe
        • 7.2.6.4. MEA
          • 7.2.6.4.1. Middle East
          • 7.2.6.4.2. Africa
        • 7.2.6.5. North America
          • 7.2.6.5.1. United States
          • 7.2.6.5.2. Canada
          • 7.2.6.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. AI Infrastructure: by Type(USD Million)
  • Table 2. AI Infrastructure Hardware (Processor (CPU, GPU, FPGA, ASIC) Memory, Storage, Networking) , by Region USD Million (2015-2020)
  • Table 3. AI Infrastructure Server Software , by Region USD Million (2015-2020)
  • Table 4. AI Infrastructure: by Function(USD Million)
  • Table 5. AI Infrastructure Training , by Region USD Million (2015-2020)
  • Table 6. AI Infrastructure Inference , by Region USD Million (2015-2020)
  • Table 7. AI Infrastructure: by Technology(USD Million)
  • Table 8. AI Infrastructure Machine learning , by Region USD Million (2015-2020)
  • Table 9. AI Infrastructure Deep learning , by Region USD Million (2015-2020)
  • Table 10. AI Infrastructure: by Deployment Model(USD Million)
  • Table 11. AI Infrastructure On-premises , by Region USD Million (2015-2020)
  • Table 12. AI Infrastructure Cloud , by Region USD Million (2015-2020)
  • Table 13. AI Infrastructure Hybrid , by Region USD Million (2015-2020)
  • Table 14. AI Infrastructure: by End User(USD Million)
  • Table 15. AI Infrastructure Enterprises , by Region USD Million (2015-2020)
  • Table 16. AI Infrastructure Government organizations , by Region USD Million (2015-2020)
  • Table 17. AI Infrastructure Cloud service providers , by Region USD Million (2015-2020)
  • Table 18. South America AI Infrastructure, by Country USD Million (2015-2020)
  • Table 19. South America AI Infrastructure, by Type USD Million (2015-2020)
  • Table 20. South America AI Infrastructure, by Function USD Million (2015-2020)
  • Table 21. South America AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 22. South America AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 23. South America AI Infrastructure, by End User USD Million (2015-2020)
  • Table 24. Brazil AI Infrastructure, by Type USD Million (2015-2020)
  • Table 25. Brazil AI Infrastructure, by Function USD Million (2015-2020)
  • Table 26. Brazil AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 27. Brazil AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 28. Brazil AI Infrastructure, by End User USD Million (2015-2020)
  • Table 29. Argentina AI Infrastructure, by Type USD Million (2015-2020)
  • Table 30. Argentina AI Infrastructure, by Function USD Million (2015-2020)
  • Table 31. Argentina AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 32. Argentina AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 33. Argentina AI Infrastructure, by End User USD Million (2015-2020)
  • Table 34. Rest of South America AI Infrastructure, by Type USD Million (2015-2020)
  • Table 35. Rest of South America AI Infrastructure, by Function USD Million (2015-2020)
  • Table 36. Rest of South America AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 37. Rest of South America AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 38. Rest of South America AI Infrastructure, by End User USD Million (2015-2020)
  • Table 39. Asia Pacific AI Infrastructure, by Country USD Million (2015-2020)
  • Table 40. Asia Pacific AI Infrastructure, by Type USD Million (2015-2020)
  • Table 41. Asia Pacific AI Infrastructure, by Function USD Million (2015-2020)
  • Table 42. Asia Pacific AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 43. Asia Pacific AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 44. Asia Pacific AI Infrastructure, by End User USD Million (2015-2020)
  • Table 45. China AI Infrastructure, by Type USD Million (2015-2020)
  • Table 46. China AI Infrastructure, by Function USD Million (2015-2020)
  • Table 47. China AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 48. China AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 49. China AI Infrastructure, by End User USD Million (2015-2020)
  • Table 50. Japan AI Infrastructure, by Type USD Million (2015-2020)
  • Table 51. Japan AI Infrastructure, by Function USD Million (2015-2020)
  • Table 52. Japan AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 53. Japan AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 54. Japan AI Infrastructure, by End User USD Million (2015-2020)
  • Table 55. India AI Infrastructure, by Type USD Million (2015-2020)
  • Table 56. India AI Infrastructure, by Function USD Million (2015-2020)
  • Table 57. India AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 58. India AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 59. India AI Infrastructure, by End User USD Million (2015-2020)
  • Table 60. South Korea AI Infrastructure, by Type USD Million (2015-2020)
  • Table 61. South Korea AI Infrastructure, by Function USD Million (2015-2020)
  • Table 62. South Korea AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 63. South Korea AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 64. South Korea AI Infrastructure, by End User USD Million (2015-2020)
  • Table 65. Taiwan AI Infrastructure, by Type USD Million (2015-2020)
  • Table 66. Taiwan AI Infrastructure, by Function USD Million (2015-2020)
  • Table 67. Taiwan AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 68. Taiwan AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 69. Taiwan AI Infrastructure, by End User USD Million (2015-2020)
  • Table 70. Australia AI Infrastructure, by Type USD Million (2015-2020)
  • Table 71. Australia AI Infrastructure, by Function USD Million (2015-2020)
  • Table 72. Australia AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 73. Australia AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 74. Australia AI Infrastructure, by End User USD Million (2015-2020)
  • Table 75. Rest of Asia-Pacific AI Infrastructure, by Type USD Million (2015-2020)
  • Table 76. Rest of Asia-Pacific AI Infrastructure, by Function USD Million (2015-2020)
  • Table 77. Rest of Asia-Pacific AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 78. Rest of Asia-Pacific AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 79. Rest of Asia-Pacific AI Infrastructure, by End User USD Million (2015-2020)
  • Table 80. Europe AI Infrastructure, by Country USD Million (2015-2020)
  • Table 81. Europe AI Infrastructure, by Type USD Million (2015-2020)
  • Table 82. Europe AI Infrastructure, by Function USD Million (2015-2020)
  • Table 83. Europe AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 84. Europe AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 85. Europe AI Infrastructure, by End User USD Million (2015-2020)
  • Table 86. Germany AI Infrastructure, by Type USD Million (2015-2020)
  • Table 87. Germany AI Infrastructure, by Function USD Million (2015-2020)
  • Table 88. Germany AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 89. Germany AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 90. Germany AI Infrastructure, by End User USD Million (2015-2020)
  • Table 91. France AI Infrastructure, by Type USD Million (2015-2020)
  • Table 92. France AI Infrastructure, by Function USD Million (2015-2020)
  • Table 93. France AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 94. France AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 95. France AI Infrastructure, by End User USD Million (2015-2020)
  • Table 96. Italy AI Infrastructure, by Type USD Million (2015-2020)
  • Table 97. Italy AI Infrastructure, by Function USD Million (2015-2020)
  • Table 98. Italy AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 99. Italy AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 100. Italy AI Infrastructure, by End User USD Million (2015-2020)
  • Table 101. United Kingdom AI Infrastructure, by Type USD Million (2015-2020)
  • Table 102. United Kingdom AI Infrastructure, by Function USD Million (2015-2020)
  • Table 103. United Kingdom AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 104. United Kingdom AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 105. United Kingdom AI Infrastructure, by End User USD Million (2015-2020)
  • Table 106. Netherlands AI Infrastructure, by Type USD Million (2015-2020)
  • Table 107. Netherlands AI Infrastructure, by Function USD Million (2015-2020)
  • Table 108. Netherlands AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 109. Netherlands AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 110. Netherlands AI Infrastructure, by End User USD Million (2015-2020)
  • Table 111. Rest of Europe AI Infrastructure, by Type USD Million (2015-2020)
  • Table 112. Rest of Europe AI Infrastructure, by Function USD Million (2015-2020)
  • Table 113. Rest of Europe AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 114. Rest of Europe AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 115. Rest of Europe AI Infrastructure, by End User USD Million (2015-2020)
  • Table 116. MEA AI Infrastructure, by Country USD Million (2015-2020)
  • Table 117. MEA AI Infrastructure, by Type USD Million (2015-2020)
  • Table 118. MEA AI Infrastructure, by Function USD Million (2015-2020)
  • Table 119. MEA AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 120. MEA AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 121. MEA AI Infrastructure, by End User USD Million (2015-2020)
  • Table 122. Middle East AI Infrastructure, by Type USD Million (2015-2020)
  • Table 123. Middle East AI Infrastructure, by Function USD Million (2015-2020)
  • Table 124. Middle East AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 125. Middle East AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 126. Middle East AI Infrastructure, by End User USD Million (2015-2020)
  • Table 127. Africa AI Infrastructure, by Type USD Million (2015-2020)
  • Table 128. Africa AI Infrastructure, by Function USD Million (2015-2020)
  • Table 129. Africa AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 130. Africa AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 131. Africa AI Infrastructure, by End User USD Million (2015-2020)
  • Table 132. North America AI Infrastructure, by Country USD Million (2015-2020)
  • Table 133. North America AI Infrastructure, by Type USD Million (2015-2020)
  • Table 134. North America AI Infrastructure, by Function USD Million (2015-2020)
  • Table 135. North America AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 136. North America AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 137. North America AI Infrastructure, by End User USD Million (2015-2020)
  • Table 138. United States AI Infrastructure, by Type USD Million (2015-2020)
  • Table 139. United States AI Infrastructure, by Function USD Million (2015-2020)
  • Table 140. United States AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 141. United States AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 142. United States AI Infrastructure, by End User USD Million (2015-2020)
  • Table 143. Canada AI Infrastructure, by Type USD Million (2015-2020)
  • Table 144. Canada AI Infrastructure, by Function USD Million (2015-2020)
  • Table 145. Canada AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 146. Canada AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 147. Canada AI Infrastructure, by End User USD Million (2015-2020)
  • Table 148. Mexico AI Infrastructure, by Type USD Million (2015-2020)
  • Table 149. Mexico AI Infrastructure, by Function USD Million (2015-2020)
  • Table 150. Mexico AI Infrastructure, by Technology USD Million (2015-2020)
  • Table 151. Mexico AI Infrastructure, by Deployment Model USD Million (2015-2020)
  • Table 152. Mexico AI Infrastructure, by End User USD Million (2015-2020)
  • Table 153. Company Basic Information, Sales Area and Its Competitors
  • Table 154. Company Basic Information, Sales Area and Its Competitors
  • Table 155. Company Basic Information, Sales Area and Its Competitors
  • Table 156. Company Basic Information, Sales Area and Its Competitors
  • Table 157. Company Basic Information, Sales Area and Its Competitors
  • Table 158. Company Basic Information, Sales Area and Its Competitors
  • Table 159. Company Basic Information, Sales Area and Its Competitors
  • Table 160. Company Basic Information, Sales Area and Its Competitors
  • Table 161. Company Basic Information, Sales Area and Its Competitors
  • Table 162. Company Basic Information, Sales Area and Its Competitors
  • Table 163. AI Infrastructure: by Type(USD Million)
  • Table 164. AI Infrastructure Hardware (Processor (CPU, GPU, FPGA, ASIC) Memory, Storage, Networking) , by Region USD Million (2021-2026)
  • Table 165. AI Infrastructure Server Software , by Region USD Million (2021-2026)
  • Table 166. AI Infrastructure: by Function(USD Million)
  • Table 167. AI Infrastructure Training , by Region USD Million (2021-2026)
  • Table 168. AI Infrastructure Inference , by Region USD Million (2021-2026)
  • Table 169. AI Infrastructure: by Technology(USD Million)
  • Table 170. AI Infrastructure Machine learning , by Region USD Million (2021-2026)
  • Table 171. AI Infrastructure Deep learning , by Region USD Million (2021-2026)
  • Table 172. AI Infrastructure: by Deployment Model(USD Million)
  • Table 173. AI Infrastructure On-premises , by Region USD Million (2021-2026)
  • Table 174. AI Infrastructure Cloud , by Region USD Million (2021-2026)
  • Table 175. AI Infrastructure Hybrid , by Region USD Million (2021-2026)
  • Table 176. AI Infrastructure: by End User(USD Million)
  • Table 177. AI Infrastructure Enterprises , by Region USD Million (2021-2026)
  • Table 178. AI Infrastructure Government organizations , by Region USD Million (2021-2026)
  • Table 179. AI Infrastructure Cloud service providers , by Region USD Million (2021-2026)
  • Table 180. South America AI Infrastructure, by Country USD Million (2021-2026)
  • Table 181. South America AI Infrastructure, by Type USD Million (2021-2026)
  • Table 182. South America AI Infrastructure, by Function USD Million (2021-2026)
  • Table 183. South America AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 184. South America AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 185. South America AI Infrastructure, by End User USD Million (2021-2026)
  • Table 186. Brazil AI Infrastructure, by Type USD Million (2021-2026)
  • Table 187. Brazil AI Infrastructure, by Function USD Million (2021-2026)
  • Table 188. Brazil AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 189. Brazil AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 190. Brazil AI Infrastructure, by End User USD Million (2021-2026)
  • Table 191. Argentina AI Infrastructure, by Type USD Million (2021-2026)
  • Table 192. Argentina AI Infrastructure, by Function USD Million (2021-2026)
  • Table 193. Argentina AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 194. Argentina AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 195. Argentina AI Infrastructure, by End User USD Million (2021-2026)
  • Table 196. Rest of South America AI Infrastructure, by Type USD Million (2021-2026)
  • Table 197. Rest of South America AI Infrastructure, by Function USD Million (2021-2026)
  • Table 198. Rest of South America AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 199. Rest of South America AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 200. Rest of South America AI Infrastructure, by End User USD Million (2021-2026)
  • Table 201. Asia Pacific AI Infrastructure, by Country USD Million (2021-2026)
  • Table 202. Asia Pacific AI Infrastructure, by Type USD Million (2021-2026)
  • Table 203. Asia Pacific AI Infrastructure, by Function USD Million (2021-2026)
  • Table 204. Asia Pacific AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 205. Asia Pacific AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 206. Asia Pacific AI Infrastructure, by End User USD Million (2021-2026)
  • Table 207. China AI Infrastructure, by Type USD Million (2021-2026)
  • Table 208. China AI Infrastructure, by Function USD Million (2021-2026)
  • Table 209. China AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 210. China AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 211. China AI Infrastructure, by End User USD Million (2021-2026)
  • Table 212. Japan AI Infrastructure, by Type USD Million (2021-2026)
  • Table 213. Japan AI Infrastructure, by Function USD Million (2021-2026)
  • Table 214. Japan AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 215. Japan AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 216. Japan AI Infrastructure, by End User USD Million (2021-2026)
  • Table 217. India AI Infrastructure, by Type USD Million (2021-2026)
  • Table 218. India AI Infrastructure, by Function USD Million (2021-2026)
  • Table 219. India AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 220. India AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 221. India AI Infrastructure, by End User USD Million (2021-2026)
  • Table 222. South Korea AI Infrastructure, by Type USD Million (2021-2026)
  • Table 223. South Korea AI Infrastructure, by Function USD Million (2021-2026)
  • Table 224. South Korea AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 225. South Korea AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 226. South Korea AI Infrastructure, by End User USD Million (2021-2026)
  • Table 227. Taiwan AI Infrastructure, by Type USD Million (2021-2026)
  • Table 228. Taiwan AI Infrastructure, by Function USD Million (2021-2026)
  • Table 229. Taiwan AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 230. Taiwan AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 231. Taiwan AI Infrastructure, by End User USD Million (2021-2026)
  • Table 232. Australia AI Infrastructure, by Type USD Million (2021-2026)
  • Table 233. Australia AI Infrastructure, by Function USD Million (2021-2026)
  • Table 234. Australia AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 235. Australia AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 236. Australia AI Infrastructure, by End User USD Million (2021-2026)
  • Table 237. Rest of Asia-Pacific AI Infrastructure, by Type USD Million (2021-2026)
  • Table 238. Rest of Asia-Pacific AI Infrastructure, by Function USD Million (2021-2026)
  • Table 239. Rest of Asia-Pacific AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 240. Rest of Asia-Pacific AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 241. Rest of Asia-Pacific AI Infrastructure, by End User USD Million (2021-2026)
  • Table 242. Europe AI Infrastructure, by Country USD Million (2021-2026)
  • Table 243. Europe AI Infrastructure, by Type USD Million (2021-2026)
  • Table 244. Europe AI Infrastructure, by Function USD Million (2021-2026)
  • Table 245. Europe AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 246. Europe AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 247. Europe AI Infrastructure, by End User USD Million (2021-2026)
  • Table 248. Germany AI Infrastructure, by Type USD Million (2021-2026)
  • Table 249. Germany AI Infrastructure, by Function USD Million (2021-2026)
  • Table 250. Germany AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 251. Germany AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 252. Germany AI Infrastructure, by End User USD Million (2021-2026)
  • Table 253. France AI Infrastructure, by Type USD Million (2021-2026)
  • Table 254. France AI Infrastructure, by Function USD Million (2021-2026)
  • Table 255. France AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 256. France AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 257. France AI Infrastructure, by End User USD Million (2021-2026)
  • Table 258. Italy AI Infrastructure, by Type USD Million (2021-2026)
  • Table 259. Italy AI Infrastructure, by Function USD Million (2021-2026)
  • Table 260. Italy AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 261. Italy AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 262. Italy AI Infrastructure, by End User USD Million (2021-2026)
  • Table 263. United Kingdom AI Infrastructure, by Type USD Million (2021-2026)
  • Table 264. United Kingdom AI Infrastructure, by Function USD Million (2021-2026)
  • Table 265. United Kingdom AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 266. United Kingdom AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 267. United Kingdom AI Infrastructure, by End User USD Million (2021-2026)
  • Table 268. Netherlands AI Infrastructure, by Type USD Million (2021-2026)
  • Table 269. Netherlands AI Infrastructure, by Function USD Million (2021-2026)
  • Table 270. Netherlands AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 271. Netherlands AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 272. Netherlands AI Infrastructure, by End User USD Million (2021-2026)
  • Table 273. Rest of Europe AI Infrastructure, by Type USD Million (2021-2026)
  • Table 274. Rest of Europe AI Infrastructure, by Function USD Million (2021-2026)
  • Table 275. Rest of Europe AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 276. Rest of Europe AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 277. Rest of Europe AI Infrastructure, by End User USD Million (2021-2026)
  • Table 278. MEA AI Infrastructure, by Country USD Million (2021-2026)
  • Table 279. MEA AI Infrastructure, by Type USD Million (2021-2026)
  • Table 280. MEA AI Infrastructure, by Function USD Million (2021-2026)
  • Table 281. MEA AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 282. MEA AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 283. MEA AI Infrastructure, by End User USD Million (2021-2026)
  • Table 284. Middle East AI Infrastructure, by Type USD Million (2021-2026)
  • Table 285. Middle East AI Infrastructure, by Function USD Million (2021-2026)
  • Table 286. Middle East AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 287. Middle East AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 288. Middle East AI Infrastructure, by End User USD Million (2021-2026)
  • Table 289. Africa AI Infrastructure, by Type USD Million (2021-2026)
  • Table 290. Africa AI Infrastructure, by Function USD Million (2021-2026)
  • Table 291. Africa AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 292. Africa AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 293. Africa AI Infrastructure, by End User USD Million (2021-2026)
  • Table 294. North America AI Infrastructure, by Country USD Million (2021-2026)
  • Table 295. North America AI Infrastructure, by Type USD Million (2021-2026)
  • Table 296. North America AI Infrastructure, by Function USD Million (2021-2026)
  • Table 297. North America AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 298. North America AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 299. North America AI Infrastructure, by End User USD Million (2021-2026)
  • Table 300. United States AI Infrastructure, by Type USD Million (2021-2026)
  • Table 301. United States AI Infrastructure, by Function USD Million (2021-2026)
  • Table 302. United States AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 303. United States AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 304. United States AI Infrastructure, by End User USD Million (2021-2026)
  • Table 305. Canada AI Infrastructure, by Type USD Million (2021-2026)
  • Table 306. Canada AI Infrastructure, by Function USD Million (2021-2026)
  • Table 307. Canada AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 308. Canada AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 309. Canada AI Infrastructure, by End User USD Million (2021-2026)
  • Table 310. Mexico AI Infrastructure, by Type USD Million (2021-2026)
  • Table 311. Mexico AI Infrastructure, by Function USD Million (2021-2026)
  • Table 312. Mexico AI Infrastructure, by Technology USD Million (2021-2026)
  • Table 313. Mexico AI Infrastructure, by Deployment Model USD Million (2021-2026)
  • Table 314. Mexico AI Infrastructure, by End User USD Million (2021-2026)
  • Table 315. Research Programs/Design for This Report
  • Table 316. Key Data Information from Secondary Sources
  • Table 317. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global AI Infrastructure: by Type USD Million (2015-2020)
  • Figure 5. Global AI Infrastructure: by Function USD Million (2015-2020)
  • Figure 6. Global AI Infrastructure: by Technology USD Million (2015-2020)
  • Figure 7. Global AI Infrastructure: by Deployment Model USD Million (2015-2020)
  • Figure 8. Global AI Infrastructure: by End User USD Million (2015-2020)
  • Figure 9. South America AI Infrastructure Share (%), by Country
  • Figure 10. Asia Pacific AI Infrastructure Share (%), by Country
  • Figure 11. Europe AI Infrastructure Share (%), by Country
  • Figure 12. MEA AI Infrastructure Share (%), by Country
  • Figure 13. North America AI Infrastructure Share (%), by Country
  • Figure 14. Global AI Infrastructure share by Players 2020 (%)
  • Figure 15. Global AI Infrastructure share by Players (Top 3) 2020(%)
  • Figure 16. Global AI Infrastructure share by Players (Top 5) 2020(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 19. Intel Corporation (United States) Revenue: by Geography 2020
  • Figure 20. NVIDIA Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 21. NVIDIA Corporation (United States) Revenue: by Geography 2020
  • Figure 22. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 23. IBM (United States) Revenue: by Geography 2020
  • Figure 24. Samsung Electronics (South Korea) Revenue, Net Income and Gross profit
  • Figure 25. Samsung Electronics (South Korea) Revenue: by Geography 2020
  • Figure 26. Google (United States) Revenue, Net Income and Gross profit
  • Figure 27. Google (United States) Revenue: by Geography 2020
  • Figure 28. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 29. Microsoft (United States) Revenue: by Geography 2020
  • Figure 30. Micron Technology (United States) Revenue, Net Income and Gross profit
  • Figure 31. Micron Technology (United States) Revenue: by Geography 2020
  • Figure 32. Amazon Web Services (United States) Revenue, Net Income and Gross profit
  • Figure 33. Amazon Web Services (United States) Revenue: by Geography 2020
  • Figure 34. CISCO (United States) Revenue, Net Income and Gross profit
  • Figure 35. CISCO (United States) Revenue: by Geography 2020
  • Figure 36. Oracle (United States) Revenue, Net Income and Gross profit
  • Figure 37. Oracle (United States) Revenue: by Geography 2020
  • Figure 38. Global AI Infrastructure: by Type USD Million (2021-2026)
  • Figure 39. Global AI Infrastructure: by Function USD Million (2021-2026)
  • Figure 40. Global AI Infrastructure: by Technology USD Million (2021-2026)
  • Figure 41. Global AI Infrastructure: by Deployment Model USD Million (2021-2026)
  • Figure 42. Global AI Infrastructure: by End User USD Million (2021-2026)
  • Figure 43. South America AI Infrastructure Share (%), by Country
  • Figure 44. Asia Pacific AI Infrastructure Share (%), by Country
  • Figure 45. Europe AI Infrastructure Share (%), by Country
  • Figure 46. MEA AI Infrastructure Share (%), by Country
  • Figure 47. North America AI Infrastructure Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Intel Corporation (United States)
  • NVIDIA Corporation (United States)
  • IBM (United States)
  • Samsung Electronics (South Korea)
  • Google (United States)
  • Microsoft (United States)
  • Micron Technology (United States)
  • Amazon Web Services (United States)
  • CISCO (United States)
  • Oracle (United States)
Additional players considered in the study are as follows:
ARM (United Kingdom) , Xilinx (United States) , Advanced Micro Devices (AMD) (United States) , Dell (United States) , Synopsys Inc. (United States)
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Key Highlights of Report


Oct 2021 183 Pages 55 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Historical year: 2016-2020; Base year: 2020; Forecast period: 2021 to 2026
Companies that are profiled in Global AI Infrastructure Market are Intel Corporation (United States), NVIDIA Corporation (United States), IBM (United States), Samsung Electronics (South Korea), Google (United States), Microsoft (United States), Micron Technology (United States), Amazon Web Services (United States), CISCO (United States) and Oracle (United States) etc.
The AI Infrastructure market is expected to grow in the future due to the increasing adoption of cloud machine learning platforms and rise in the popularity of AI data centers. The increasing use of industrial IoT, robotics, and big data across domains is fueling the growth of the global AI infrastructure market.

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