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AI Infrastructure Market By Component, By Deployment Mode, By Technology, By End-Users, By Application: Global Opportunity Analysis and Industry Forecast, 2022-2031

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    Report

  • 323 Pages
  • September 2023
  • Region: Global
  • Allied Market Research
  • ID: 5743623
AI infrastructure encompasses almost every stage of the machine learning workflow. It enables data scientist, data engineers, software engineers and DevOps teams to access and manage the computing resources to test, train and deploy AI algorithms. The world of corporate data becomes streamlined and well-optimized through AI infrastructure. Furthermore, proper AI infrastructure is required to train machine learning algorithms that run through databases and message queuing systems to provide data delivery flow.

Moreover, AI infrastructure is the key that enables the whole machine learning process from start to finish. With a proper AI infrastructure, data scientists, operators, and programmers can access the data, deploy machine learning algorithms, and manage the hardware’s computing resources. It is the crucial tool that enables a particular workflow, then divide the workflow into steps. Furthermore, the technological renaissance is brought on by artificial intelligence. Data strategies can become sophisticated through AI infrastructure. Data manipulation and management works both ways. Artificial intelligence can make data strategies far more complex and intricate, and more sophisticated data strategies can improve the overall quality of artificial intelligence. Such advantageous provide lucrative opportunities for the market growth during the forecast period.

On the contrary, artificial intelligence-based technology has a widespread variety of applications ranging from self-driving cars to recommendation systems that are influencing many lifestyle choices. Such applications are empowering the growth of the AI infrastructure market.

Furthermore, AI infrastructure rapidly powers mobility information and insights, altering transportation planning by making vital data collection and understanding more accessible, faster, cheaper, and safer. Cities, transit agencies, transportation departments, and other entities increasingly turn to AI infrastructure to solve challenges, prioritize investments, and gain stakeholder support, thus providing lucrative opportunities for the market growth in the upcoming years. Furthermore, private, and public sectors are adopting AI infrastructure due to surge in demand for digitization. This factor creates lucrative growth opportunities in the market.

Factors such as rise in artificial intelligence maturity in the modern business enterprises and everyday lifestyle of people are signaling significant growth opportunities for the future of global market. In addition, surge in digital and internet penetration around the world is positively impacting the growth of the market. However, lack of trained AI experts and high implementation cost of AI-based technology hampers the market growth. On the contrary, increase in government initiatives and automation trends are expected to offer remunerative opportunities for expansion of the AI infrastructure industry during the forecast period.

The AI infrastructure market is segmented on the basis of component, deployment mode, technology, application, end user, and region. By component, it is divided into hardware, software and services. By deployment mode, it is classified into on-premise, hybrid and cloud. On the basis of technology, it is bifurcated into machine learning and deep learning. By application, the market is classified into AI training, inferencing and others. By end user, the market is categorized into enterprises, government and cloud service providers (CSPs). Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The market players operating in the AI infrastructure market include Alphabet Inc., Amazon.com, Inc., IBM Corporation, Intel Corporation, Micron Technology, Inc., Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, Samsung and Toshiba Corporation. These major players have adopted various key development strategies such as business expansion, new product launches, and partnerships, which help to drive the growth of the AI infrastructure market globally.

Key Benefits For Stakeholders

  • The study provides an in-depth analysis of the global AI infrastructure market forecast along with the current and future trends to explain the imminent investment pockets.
  • Information about key drivers, restraints, and opportunities and their impact analysis on global AI infrastructure market trends is provided in the report.
  • The Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
  • The quantitative analysis of the global AI infrastructure market from 2022 to 2031 is provided to determine the market potential.

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  • Expanded list for Company Profiles
  • SWOT Analysis

Key Market Segments

By Deployment Mode

  • On-Premise
  • Cloud
  • Hybrid

By Technology

  • Machine Learning
  • Deep Learning

By End-Users

  • Enterprises
  • Governments
  • Cloud Service Providers (CSPs)

By Application

  • AI Training
  • Inferencing
  • Others

By Component

  • Hardware
  • Software
  • Services

By Region

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Rest of Europe
  • Asia-Pacific
  • China
  • Japan
  • India
  • Australia
  • South Korea
  • Rest of Asia-Pacific
  • LAMEA
  • Latin America
  • Middle East
  • Africa
  • Key Market Players
  • NVIDIA Corporation
  • Microsoft Corporation
  • Alphabet Inc.
  • Oracle Corporation
  • Samsung Electronics Co., Ltd.
  • IBM Corporation
  • Intel Corporation
  • Toshiba Corporation
  • Micron Technology, Inc.
  • Amazon.com, Inc.

 

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Table of Contents

CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research methodology
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO Perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.3. Porter’s five forces analysis
3.4. Market dynamics
CHAPTER 4: AI INFRASTRUCTURE MARKET, BY COMPONENT
4.1. Overview
4.2. Hardware
4.3. Software
4.4. Services
CHAPTER 5: AI INFRASTRUCTURE MARKET, BY DEPLOYMENT MODE
5.1. Overview
5.2. On-Premise
5.3. Cloud
5.4. Hybrid
CHAPTER 6: AI INFRASTRUCTURE MARKET, BY TECHNOLOGY
6.1. Overview
6.2. Machine Learning
6.3. Deep Learning
CHAPTER 7: AI INFRASTRUCTURE MARKET, BY END-USERS
7.1. Overview
7.2. Enterprises
7.3. Governments
7.4. Cloud Service Providers (CSPs)
CHAPTER 8: AI INFRASTRUCTURE MARKET, BY APPLICATION
8.1. Overview
8.2. AI Training
8.3. Inferencing
8.4. Others
CHAPTER 9: AI INFRASTRUCTURE MARKET, BY REGION
9.1. Overview
9.2. North America
9.3. Europe
9.4. Asia-Pacific
9.5. LAMEA
CHAPTER 10: COMPETITIVE LANDSCAPE
10.1. Introduction
10.2. Top winning strategies
10.3. Product mapping of top 10 player
10.4. Competitive dashboard
10.5. Competitive heatmap
10.6. Top player positioning, 2021
CHAPTER 11: COMPANY PROFILES
11.1. NVIDIA Corporation
11.2. Intel Corporation
11.3. Oracle Corporation
11.4. Micron Technology, Inc.
11.5. Samsung Electronics Co., Ltd.
11.6. IBM Corporation
11.7. Alphabet Inc.
11.8. Microsoft Corporation
11.9. Toshiba Corporation
11.10. Amazon.com, Inc.
List of Tables
Table 01. Global Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 02. Ai Infrastructure Market for Hardware, by Region, 2021-2031 ($ Million)
Table 03. Ai Infrastructure Market for Software, by Region, 2021-2031 ($ Million)
Table 04. Ai Infrastructure Market for Services, by Region, 2021-2031 ($ Million)
Table 05. Global Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 06. Ai Infrastructure Market for On-Premise, by Region, 2021-2031 ($ Million)
Table 07. Ai Infrastructure Market for Cloud, by Region, 2021-2031 ($ Million)
Table 08. Ai Infrastructure Market for Hybrid, by Region, 2021-2031 ($ Million)
Table 09. Global Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 10. Ai Infrastructure Market for Machine Learning, by Region, 2021-2031 ($ Million)
Table 11. Ai Infrastructure Market for Deep Learning, by Region, 2021-2031 ($ Million)
Table 12. Global Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 13. Ai Infrastructure Market for Enterprises, by Region, 2021-2031 ($ Million)
Table 14. Ai Infrastructure Market for Governments, by Region, 2021-2031 ($ Million)
Table 15. Ai Infrastructure Market for Cloud Service Providers (Csps), by Region, 2021-2031 ($ Million)
Table 16. Global Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 17. Ai Infrastructure Market for Ai Training, by Region, 2021-2031 ($ Million)
Table 18. Ai Infrastructure Market for Inferencing, by Region, 2021-2031 ($ Million)
Table 19. Ai Infrastructure Market for Others, by Region, 2021-2031 ($ Million)
Table 20. Ai Infrastructure Market, by Region, 2021-2031 ($ Million)
Table 21. North America Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 22. North America Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 23. North America Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 24. North America Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 25. North America Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 26. North America Ai Infrastructure Market, by Country, 2021-2031 ($ Million)
Table 27. U.S. Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 28. U.S. Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 29. U.S. Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 30. U.S. Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 31. U.S. Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 32. Canada Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 33. Canada Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 34. Canada Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 35. Canada Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 36. Canada Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 37. Europe Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 38. Europe Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 39. Europe Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 40. Europe Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 41. Europe Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 42. Europe Ai Infrastructure Market, by Country, 2021-2031 ($ Million)
Table 43. UK Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 44. UK Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 45. UK Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 46. UK Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 47. UK Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 48. Germany Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 49. Germany Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 50. Germany Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 51. Germany Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 52. Germany Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 53. France Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 54. France Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 55. France Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 56. France Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 57. France Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 58. Italy Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 59. Italy Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 60. Italy Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 61. Italy Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 62. Italy Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 63. Spain Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 64. Spain Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 65. Spain Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 66. Spain Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 67. Spain Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 68. Rest of Europe Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 69. Rest of Europe Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 70. Rest of Europe Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 71. Rest of Europe Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 72. Rest of Europe Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 73. Asia-Pacific Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 74. Asia-Pacific Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 75. Asia-Pacific Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 76. Asia-Pacific Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 77. Asia-Pacific Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 78. Asia-Pacific Ai Infrastructure Market, by Country, 2021-2031 ($ Million)
Table 79. China Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 80. China Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 81. China Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 82. China Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 83. China Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 84. Japan Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 85. Japan Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 86. Japan Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 87. Japan Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 88. Japan Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 89. India Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 90. India Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 91. India Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 92. India Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 93. India Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 94. Australia Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 95. Australia Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 96. Australia Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 97. Australia Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 98. Australia Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 99. South Korea Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 100. South Korea Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 101. South Korea Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 102. South Korea Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 103. South Korea Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 104. Rest of Asia-Pacific Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 105. Rest of Asia-Pacific Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 106. Rest of Asia-Pacific Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 107. Rest of Asia-Pacific Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 108. Rest of Asia-Pacific Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 109. LAMEA Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 110. LAMEA Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 111. LAMEA Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 112. LAMEA Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 113. LAMEA Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 114. LAMEA Ai Infrastructure Market, by Country, 2021-2031 ($ Million)
Table 115. Latin America Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 116. Latin America Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 117. Latin America Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 118. Latin America Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 119. Latin America Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 120. Middle East Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 121. Middle East Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 122. Middle East Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 123. Middle East Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 124. Middle East Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 125. Africa Ai Infrastructure Market, by Component, 2021-2031 ($ Million)
Table 126. Africa Ai Infrastructure Market, by Deployment Mode, 2021-2031 ($ Million)
Table 127. Africa Ai Infrastructure Market, by Technology, 2021-2031 ($ Million)
Table 128. Africa Ai Infrastructure Market, by End-Users, 2021-2031 ($ Million)
Table 129. Africa Ai Infrastructure Market, by Application, 2021-2031 ($ Million)
Table 130. Nvidia Corporation: Key Executives
Table 131. Nvidia Corporation: Company Snapshot
Table 132. Nvidia Corporation: Product Segments
Table 133. Nvidia Corporation: Product Portfolio
Table 134. Nvidia Corporation: Key Stratergies
Table 135. Intel Corporation: Key Executives
Table 136. Intel Corporation: Company Snapshot
Table 137. Intel Corporation: Service Segments
Table 138. Intel Corporation: Product Portfolio
Table 139. Intel Corporation: Key Stratergies
Table 140. Oracle Corporation: Key Executives
Table 141. Oracle Corporation: Company Snapshot
Table 142. Oracle Corporation: Service Segments
Table 143. Oracle Corporation: Product Portfolio
Table 144. Oracle Corporation: Key Stratergies
Table 145. Micron Technology, Inc.: Key Executives
Table 146. Micron Technology, Inc.: Company Snapshot
Table 147. Micron Technology, Inc.: Service Segments
Table 148. Micron Technology, Inc.: Product Portfolio
Table 149. Micron Technology, Inc.: Key Stratergies
Table 150. Samsung Electronics Co. Ltd.: Key Executives
Table 151. Samsung Electronics Co. Ltd.: Company Snapshot
Table 152. Samsung Electronics Co. Ltd.: Product Segments
Table 153. Samsung Electronics Co. Ltd.: Product Portfolio
Table 154. Samsung Electronics Co. Ltd.: Key Stratergies
Table 155. IBM Corporation: Key Executives
Table 156. IBM Corporation: Company Snapshot
Table 157. IBM Corporation: Service Segments
Table 158. IBM Corporation: Product Portfolio
Table 159. IBM Corporation: Key Stratergies
Table 160. Alphabet Inc.: Key Executives
Table 161. Alphabet Inc.: Company Snapshot
Table 162. Alphabet Inc.: Service Segments
Table 163. Alphabet Inc.: Product Portfolio
Table 164. Alphabet Inc.: Key Stratergies
Table 165. Microsoft Corporation: Key Executives
Table 166. Microsoft Corporation: Company Snapshot
Table 167. Microsoft Corporation: Service Segments
Table 168. Microsoft Corporation: Product Portfolio
Table 169. Microsoft Corporation: Key Stratergies
Table 170. Toshiba Corporation: Key Executives
Table 171. Toshiba Corporation: Company Snapshot
Table 172. Toshiba Corporation: Service Segments
Table 173. Toshiba Corporation: Product Portfolio
Table 174. Toshiba Corporation: Key Stratergies
Table 175. Amazon.Com, Inc.: Key Executives
Table 176. Amazon.Com, Inc.: Company Snapshot
Table 177. Amazon.Com, Inc.: Service Segments
Table 178. Amazon.Com, Inc.: Product Portfolio
List of Figures
Figure 01. Ai Infrastructure Market, 2021-2031
Figure 02. Segmentation of Ai Infrastructure Market, 2021-2031
Figure 03. Top Impacting Factors in Ai Infrastructure Market
Figure 04. Top Investment Pockets in Ai Infrastructure Market (2022-2031)
Figure 05. Moderate-To-High Bargaining Power of Suppliers
Figure 06. High Threat of New Entrants
Figure 07. Moderate-To-High Threat of Substitutes
Figure 08. Moderate-To-Hight Intensity of Rivalry
Figure 09. Moderate-To-High Bargaining Power of Buyers
Figure 10. Global Ai Infrastructure Market: Drivers, Restraints and Opportunities
Figure 11. Ai Infrastructure Market, by Component, 2021 and 2031 (%)
Figure 12. Comparative Share Analysis of Ai Infrastructure Market for Hardware, by Country 2021 and 2031 (%)
Figure 13. Comparative Share Analysis of Ai Infrastructure Market for Software, by Country 2021 and 2031 (%)
Figure 14. Comparative Share Analysis of Ai Infrastructure Market for Services, by Country 2021 and 2031 (%)
Figure 15. Ai Infrastructure Market, by Deployment Mode, 2021 and 2031 (%)
Figure 16. Comparative Share Analysis of Ai Infrastructure Market for On-Premise, by Country 2021 and 2031 (%)
Figure 17. Comparative Share Analysis of Ai Infrastructure Market for Cloud, by Country 2021 and 2031 (%)
Figure 18. Comparative Share Analysis of Ai Infrastructure Market for Hybrid, by Country 2021 and 2031 (%)
Figure 19. Ai Infrastructure Market, by Technology, 2021 and 2031 (%)
Figure 20. Comparative Share Analysis of Ai Infrastructure Market for Machine Learning, by Country 2021 and 2031 (%)
Figure 21. Comparative Share Analysis of Ai Infrastructure Market for Deep Learning, by Country 2021 and 2031 (%)
Figure 22. Ai Infrastructure Market, by End-Users, 2021 and 2031 (%)
Figure 23. Comparative Share Analysis of Ai Infrastructure Market for Enterprises, by Country 2021 and 2031 (%)
Figure 24. Comparative Share Analysis of Ai Infrastructure Market for Governments, by Country 2021 and 2031 (%)
Figure 25. Comparative Share Analysis of Ai Infrastructure Market for Cloud Service Providers (Csps), by Country 2021 and 2031 (%)
Figure 26. Ai Infrastructure Market, by Application, 2021 and 2031 (%)
Figure 27. Comparative Share Analysis of Ai Infrastructure Market for Ai Training, by Country 2021 and 2031 (%)
Figure 28. Comparative Share Analysis of Ai Infrastructure Market for Inferencing, by Country 2021 and 2031 (%)
Figure 29. Comparative Share Analysis of Ai Infrastructure Market for Others, by Country 2021 and 2031 (%)
Figure 30. Ai Infrastructure Market by Region, 2021 and 2031 (%)
Figure 31. U.S. Ai Infrastructure Market, 2021-2031 ($ Million)
Figure 32. Canada Ai Infrastructure Market, 2021-2031 ($ Million)
Figure 33. UK Ai Infrastructure Market, 2021-2031 ($ Million)
Figure 34. Germany Ai Infrastructure Market, 2021-2031 ($ Million)
Figure 35. France Ai Infrastructure Market, 2021-2031 ($ Million)
Figure 36. Italy Ai Infrastructure Market, 2021-2031 ($ Million)
Figure 37. Spain Ai Infrastructure Market, 2021-2031 ($ Million)
Figure 38. Rest of Europe Ai Infrastructure Market, 2021-2031 ($ Million)
Figure 39. China Ai Infrastructure Market, 2021-2031 ($ Million)
Figure 40. Japan Ai Infrastructure Market, 2021-2031 ($ Million)
Figure 41. India Ai Infrastructure Market, 2021-2031 ($ Million)
Figure 42. Australia Ai Infrastructure Market, 2021-2031 ($ Million)
Figure 43. South Korea Ai Infrastructure Market, 2021-2031 ($ Million)
Figure 44. Rest of Asia-Pacific Ai Infrastructure Market, 2021-2031 ($ Million)
Figure 45. Latin America Ai Infrastructure Market, 2021-2031 ($ Million)
Figure 46. Middle East Ai Infrastructure Market, 2021-2031 ($ Million)
Figure 47. Africa Ai Infrastructure Market, 2021-2031 ($ Million)
Figure 48. Top Winning Strategies, by Year (2019-2022)
Figure 49. Top Winning Strategies, by Development (2019-2022)
Figure 50. Top Winning Strategies, by Company (2019-2022)
Figure 51. Product Mapping of Top 10 Players
Figure 52. Competitive Dashboard
Figure 53. Competitive Heatmap: Ai Infrastructure Market
Figure 54. Top Player Positioning, 2021
Figure 55. Nvidia Corporation: Research & Development Expenditure, 2020-2022 ($ Million)
Figure 56. Nvidia Corporation: Net Revenue, 2020-2022 ($ Million)
Figure 57. Nvidia Corporation: Revenue Share by Segment, 2022 (%)
Figure 58. Nvidia Corporation: Revenue Share by Region, 2021 (%)
Figure 59. Intel Corporation: Net Revenue, 2020-2022 ($ Million)
Figure 60. Intel Corporation: Research & Development Expenditure, 2020-2022 ($ Million)
Figure 61. Intel Corporation: Revenue Share by Region, 2022 (%)
Figure 62. Oracle Corporation: Net Revenue, 2020-2022 ($ Million)
Figure 63. Oracle Corporation: Research & Development Expenditure, 2020-2022 ($ Million)
Figure 64. Oracle Corporation: Revenue Share by Segment, 2022 (%)
Figure 65. Oracle Corporation: Revenue Share by Region, 2022 (%)
Figure 66. Micron Technology, Inc.: Net Revenue, 2020-2022 ($ Million)
Figure 67. Micron Technology, Inc.: Revenue Share by Segment, 2022 (%)
Figure 68. Micron Technology, Inc.: Revenue Share by Region, 2022 (%)
Figure 69. Samsung Electronics Co. Ltd.: Net Revenue, 2019-2021 ($ Million)
Figure 70. Samsung Electronics Co. Ltd.: Revenue Share by Segment, 2021 (%)
Figure 71. Samsung Electronics Co. Ltd.: Revenue Share by Region, 2021 (%)
Figure 72. IBM Corporation: Net Revenue, 2019-2021 ($ Million)
Figure 73. IBM Corporation: Revenue Share by Segment, 2022 (%)
Figure 74. Alphabet Inc.: Net Revenue, 2020-2022 ($ Million)
Figure 75. Alphabet Inc.: Research & Development Expenditure, 2020-2022 ($ Million)
Figure 76. Alphabet Inc.: Revenue Share by Segment, 2022 (%)
Figure 77. Alphabet Inc.: Revenue Share by Region, 2022 (%)
Figure 78. Microsoft Corporation: Net Revenue, 2020-2022 ($ Million)
Figure 79. Toshiba Corporation.: Net Revenue, 2021-2023 ($ Million)
Figure 80. Toshiba Corporation.: Revenue Share by Segment, 2023 (%)
Figure 81. Toshiba Corporation.: Revenue Share by Region, 2022 (%)
Figure 82. Amazon.Com, Inc.: Net Sales, 2020-2022 ($ Million)
Figure 83. Amazon.Com, Inc.: Revenue Share by Segment, 2022 (%)
Figure 84. Amazon.Com, Inc.: Revenue Share by Region, 2022 (%)

Executive Summary

According to the report, the AI infrastructure market was valued at $23.5 billion in 2021, and is estimated to reach $309.4 billion by 2031, growing at a CAGR of 29.8% from 2022 to 2031.

Artificial intelligence makes it possible for machines to learn from previous experiences and adjust to new inputs to perform tasks like humans. Such capabilities of AI-based technology enable machines to automate much more complex tasks such as driving cars (self-driving cars), holding conversations (conversational bots), filtering e-mail (spam and fraud detectors), and other things. Such factors drive the AI infrastructure market forecast. Furthermore, growing demand to improve operational efficiency and the rising cost of manual labor. In addition, increasing digital dependence and implementation of industry 4.0 trends are expected to offer remunerative opportunities for expansion of the AI infrastructure market during the forecast period.

On the contrary, big data analytics is heavily used in supply chain management to evaluate operational hazards, improve communication, secure proprietary data, and improve supply chain accessibility. This data is used by industries in a variety of ways, including predictive analytics and the creation of more efficient cloud-based platforms. Data mining, statistics, and machine learning are used in predictive analytics to assess future supply demands, inventory, and customer behavior. Companies use predictive analytics and machine learning to forecast future physical hazards in the supply chain and financial, customer, and other operational risks, thus propel the growth of the market. Moreover, AI can involve handling sensitive data such as patient records, financial information and personal data, so it is imperative the infrastructure is secured end-to-end with state-of-the-art technology. As companies increase their use of AI, they will place heavier burdens on the network, server and storage infrastructures. Businesses need to make careful choices and identify IaaS providers that can offer cost-effective dedicated servers as a means to boost performance and to enable them to continue investing in AI without increasing their budget. Such factors will help to enhance the market growth during the forecast period.

On the basis of deployment mode, the on-premise segment captured the largest AI infrastructure market size in 2021 and is expected to continue this trend throughout the forecast period. This is attributed to the numerous advantages offered by the on-premise deployment such as a high level of data security and safety. Industries prefer on-premise model owing to high data security and less data breach as compared to cloud based deployment models, which further drive the demand for on-premise deployment model within the sectors. However, the cloud segment is expected to exhibit highest growth during the forecast period. Factors such as rise in the adoption of cloud-based AI infrastructure due to low cost and easier maintenance drives the growth of the market. In addition, it provides flexibility & scalability to boost business process, which propels the growth of the AI infrastructure industry.

Region-wise, North America dominated the market share in 2021 for the AI infrastructure market. Adoption of AI infrastructure growing steadily to meet increasing demands from today’s businesses to enhance their business process and improve the customer experience will provide lucrative opportunities for the market in this region. However, Asia-Pacific is expected to exhibit highest growth during the forecast period. This is attributed to increase in penetration of advanced technology and higher adoption of cloud-based solution and services, and artificial intelligence are particularly fueling regional market growth.

The outbreak of COVID-19 is anticipated to provide numerous opportunities for the market to grow during the forecast period. This is attributed to significant investment in advanced technologies such as cloud technology, big data, artificial intelligence, and machine learning, due to rise in adoption of cloud-based solution & services across the globe. In addition, various companies are seeking for cost-effective solutions to boost their productivity to attract consumers toward cloud-based solution and to increase their financial benefits.

Furthermore, the pandemic brought big challenges in the manufacturing sector from supply chain disruptions and drop in workforce availability to raw material shortages. Thus, manufacturers had to rely on the power of their data and analytics to stay competitive and innovate ahead. Such factors prompted the demand for AI infrastructure solutions in the manufacturing sector.

With augmented analytics, manufacturers will be able to analyze key data such as the production capabilities of the production lines, shipping timings, schedules of their workforce, and their warehousing space availability. In addition, with the insights gained from the analyzed data, manufacturers will be able to make a calculated pivot to start manufacturing products, such as face masks during the pandemic, that are in demand to bring in much-needed revenue to sustain, which is expected to provide lucrative growth opportunities for the AI infrastructure market in the upcoming year.

KEY FINDINGS OF THE STUDY

By component, the hardware segment accounted for the largest AI infrastructure market share in 2021.

By deployment mode, the on-premise segment accounted for the largest AI infrastructure market share in 2021.

By technology, the machine learning segment accounted for the largest AI infrastructure market share in 2021.

On the basis of end-users, the enterprise segment accounted for the largest AI infrastructure market share in 2021.

Based on application, the AI training segment accounted for the largest AI infrastructure market share in 2021.

Region wise, North America generated highest revenue in 2021.

The key players that operate in the AI infrastructure market analysis Alphabet Inc., Amazon.com, Inc., IBM Corporation, Intel Corporation, Micron Technology, Inc., Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, Samsung and Toshiba Corporation. These players have adopted various strategies to increase their market penetration and strengthen their position in the AI infrastructure industry.

Companies Mentioned

  • NVIDIA Corporation
  • Microsoft Corporation
  • Alphabet Inc.
  • Oracle Corporation
  • Samsung Electronics Co., Ltd.
  • IBM Corporation
  • Intel Corporation
  • Toshiba Corporation
  • Micron Technology, Inc.
  • Amazon.com, Inc.

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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