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Global AI Infrastructure Market Size, Share, Outlook, Report: By Type: Hardware, Server Software; By Technology: Machine Learning, Deep Learning; By Deployment: On Premises, Cloud, Hybrid; By Function: Training, Inference; By End Use: Enterprises, Government Organizations, Others; Regional Analysis; Competitive Landscape; 2024-2032
Global AI Infrastructure Market Outlook
The global AI infrastructure market is expected to grow from USD 26.18 billion in 2023 to USD 178.95 billion by 2032, growing at a CAGR of 23.8% in the forecast period of 2024-2032.
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AI deep learning engineering architecture enables a computer to create a hierarchical representation. For example, the captured image of the first layer might scan for simple edges, followed by a layer collecting edge-forming shapes. The final layer was able to identify parts of the computer. The neural network can collate the features into an algorithm that can recognize the overall image after scanning many layers to find the required data. A large volume of information has been generated by the growing proliferation of robots, cybersecurity technologies, IoT, industrial automation, and machine vision technology. Its data serves as a deep learning software training platform that assists in testing and diagnosing processes.
Market Segmentation
The AI infrastructure market can be divided based on segments like type, technology, deployment, function, end-use, and region.
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The industry can be broadly categorised on the basis of type into:
- Hardware
- Processor
- CPU
- GPU
- FPGA
- ASIC
- Memory
- Storage
- Networking
- Server Software
The industry can be divided based on technology into:
- Machine Learning
- Deep Learning
The industry can be divided on the basis of deployment as:
- On Premises
- Cloud
- Hybrid
The industry can be segmented based on function as:
- Training
- Inference
The industry can be divided on the basis of end-use as:
- Enterprises
- Government Organisations
- Cloud Service Providers
- Others
The EMR report looks into the regional markets of AI infrastructure like North America, Latin America, Europe, the Middle East and Africa, and the Asia Pacific regions.
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Market Analysis
The major drivers of the AI technology market include the growing adoption of the cloud machine learning system, increasing demand for AI hardware in high-performance data centres, and rising emphasis on parallel computing in AI data centres. The increasing data volume produced in industries such as automotive and healthcare, improving computing power, decreasing hardware costs, a growing number of cross-industry partnerships and collaborations, and expanding AI applications in industries such as healthcare, automotive, finance, and tourism are further driving the market. One of the key factors restraining the development of the AI technology market is the economies within North America and Europe.
Competitive Landscape
The report presents a detailed analysis of the following key players in the global AI infrastructure market, looking into their capacity, competitive landscape, and latest developments like capacity expansions, plant turnarounds, and mergers and acquisitions:
- Intel Corporation (NASDAQ: INTC)
- Nvidia Corporation (NASDAQ: NVDA)
- Google LLC
- Microsoft Corporation (NASDAQ: MSFT)
- Cisco Systems, Inc. (NASDAQ: CSCO)
- Amazon Web Services, Inc.
- International Business Machines Corporation (NYSE: IBM)
- Arm Limited
- Others
The EMR report gives an in-depth insight into the industry by providing a SWOT analysis as well as an analysis of Porter’s Five Forces model.
Key Highlights of the Report
| REPORT FEATURES | DETAILS |
| Base Year | 2023 |
| Historical Period | 2018-2023 |
| Forecast Period | 2024-2032 |
| Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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| Breakup by Type |
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| Breakup by Technology |
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| Breakup by Deployment |
|
| Breakup by Function |
|
| Breakup by End Use |
|
| Breakup by Region |
|
| Market Dynamics |
|
| Competitive Landscape |
|
| Companies Covered |
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| Report Price and Purchase Option | Explore our purchase options that are best suited to your resources and industry needs. |
| Delivery Format | Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option. |
*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.
1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Snapshot
6.1 Global
6.2 Regional
7 Opportunities and Challenges in the Market
8 Global AI Infrastructure Market Analysis
8.1 Key Industry Highlights
8.2 Global AI Infrastructure Historical Market (2018-2023)
8.3 Global AI Infrastructure Market Forecast (2024-2032)
8.4 Global AI Infrastructure Market by Type
8.4.1 Hardware
8.4.1.1 Historical Trend (2018-2023)
8.4.1.2 Forecast Trend (2024-2032)
8.4.1.2.1 Processor
8.4.1.2.1.1 CPU
8.4.1.2.1.2 GPU
8.4.1.2.1.3 FPGA
8.4.1.2.1.4 ASIC
8.4.1.3.2 Memory
8.4.1.3.3 Storage
8.4.1.3.4 Networking
8.4.2 Server Software
8.4.2.1 Historical Trend (2018-2023)
8.4.2.2 Forecast Trend (2024-2032)
8.5 Global AI Infrastructure Market by Technology
8.5.1 Machine Learning
8.5.1.1 Historical Trend (2018-2023)
8.5.1.2 Forecast Trend (2024-2032)
8.5.2 Deep Learning
8.5.2.1 Historical Trend (2018-2023)
8.5.2.2 Forecast Trend (2024-2032)
8.6 Global AI Infrastructure Market by Deployment
8.6.1 On Premise
8.6.1.1 Historical Trend (2018-2023)
8.6.1.2 Forecast Trend (2024-2032)
8.6.2 Cloud
8.6.2.1 Historical Trend (2018-2023)
8.6.2.2 Forecast Trend (2024-2032)
8.6.3 Hybrid
8.6.3.1 Historical Trend (2018-2023)
8.6.3.2 Forecast Trend (2024-2032)
8.7 Global AI Infrastructure Market by Function
8.7.1 Training
8.7.1.1 Historical Trend (2018-2023)
8.7.1.2 Forecast Trend (2024-2032)
8.7.2 Inference
8.7.2.1 Historical Trend (2018-2023)
8.7.2.2 Forecast Trend (2024-2032)
8.8 Global AI Infrastructure Market by End Use
8.8.1 Enterprises
8.8.1.1 Historical Trend (2018-2023)
8.8.1.2 Forecast Trend (2024-2032)
8.8.2 Government Organizations
8.8.2.1 Historical Trend (2018-2023)
8.8.2.2 Forecast Trend (2024-2032)
8.8.3 Cloud Service Providers
8.8.3.1 Historical Trend (2018-2023)
8.8.3.2 Forecast Trend (2024-2032)
8.8 Global AI Infrastructure Market by Region
8.8.1 North America
8.8.1.1 Historical Trend (2018-2023)
8.8.1.2 Forecast Trend (2024-2032)
8.8.2 Europe
8.8.2.1 Historical Trend (2018-2023)
8.8.2.2 Forecast Trend (2024-2032)
8.8.3 Asia Pacific
8.8.3.1 Historical Trend (2018-2023)
8.8.3.2 Forecast Trend (2024-2032)
8.8.4 Latin America
8.8.4.1 Historical Trend (2018-2023)
8.8.4.2 Forecast Trend (2024-2032)
8.8.5 Middle East and Africa
8.8.5.1 Historical Trend (2018-2023)
8.8.5.2 Forecast Trend (2024-2032)
9 North America AI Infrastructure Market Analysis
9.1 United States of America
9.1.1 Historical Trend (2018-2023)
9.1.2 Forecast Trend (2024-2032)
9.2 Canada
9.2.1 Historical Trend (2018-2023)
9.2.2 Forecast Trend (2024-2032)
10 Europe AI Infrastructure Market Analysis
10.1 United Kingdom
10.1.1 Historical Trend (2018-2023)
10.1.2 Forecast Trend (2024-2032)
10.2 Germany
10.2.1 Historical Trend (2018-2023)
10.2.2 Forecast Trend (2024-2032)
10.3 France
10.3.1 Historical Trend (2018-2023)
10.3.2 Forecast Trend (2024-2032)
10.4 Italy
10.4.1 Historical Trend (2018-2023)
10.4.2 Forecast Trend (2024-2032)
10.5 Others
11 Asia Pacific AI Infrastructure Market Analysis
11.1 China
11.1.1 Historical Trend (2018-2023)
11.1.2 Forecast Trend (2024-2032)
11.2 Japan
11.2.1 Historical Trend (2018-2023)
11.2.2 Forecast Trend (2024-2032)
11.3 India
11.3.1 Historical Trend (2018-2023)
11.3.2 Forecast Trend (2024-2032)
11.4 ASEAN
11.4.1 Historical Trend (2018-2023)
11.4.2 Forecast Trend (2024-2032)
11.5 Australia
11.5.1 Historical Trend (2018-2023)
11.5.2 Forecast Trend (2024-2032)
11.6 Others
12 Latin America AI Infrastructure Market Analysis
12.1 Brazil
12.1.1 Historical Trend (2018-2023)
12.1.2 Forecast Trend (2024-2032)
12.2 Argentina
12.2.1 Historical Trend (2018-2023)
12.2.2 Forecast Trend (2024-2032)
12.3 Mexico
12.3.1 Historical Trend (2018-2023)
12.3.2 Forecast Trend (2024-2032)
12.4 Others
13 Middle East and Africa AI Infrastructure Market Analysis
13.1 Saudi Arabia
13.1.1 Historical Trend (2018-2023)
13.1.2 Forecast Trend (2024-2032)
13.2 United Arab Emirates
13.2.1 Historical Trend (2018-2023)
13.2.2 Forecast Trend (2024-2032)
13.3 Nigeria
13.3.1 Historical Trend (2018-2023)
13.3.2 Forecast Trend (2024-2032)
13.4 South Africa
13.4.1 Historical Trend (2018-2023)
13.4.2 Forecast Trend (2024-2032)
13.5 Others
14 Market Dynamics
14.1 SWOT Analysis
14.1.1 Strengths
14.1.2 Weaknesses
14.1.3 Opportunities
14.1.4 Threats
14.2 Porter’s Five Forces Analysis
14.2.1 Supplier’s Power
14.2.2 Buyer’s Power
14.2.3 Threat of New Entrants
14.2.4 Degree of Rivalry
14.2.5 Threat of Substitutes
14.3 Key Indicators for Demand
14.4 Key Indicators for Price
15 Competitive Landscape
15.1 Market Structure
15.2 Company Profiles
15.2.1 Intel Corporation (NASDAQ: INTC)
15.2.1.1 Company Overview
15.2.1.2 Product Portfolio
15.2.1.3 Demographic Reach and Achievements
15.2.1.4 Certifications
15.2.2 Nvidia Corporation (NASDAQ: NVDA)
15.2.2.1 Company Overview
15.2.2.2 Product Portfolio
15.2.2.3 Demographic Reach and Achievements
15.2.2.4 Certifications
15.2.3 Google LLC
15.2.3.1 Company Overview
15.2.3.2 Product Portfolio
15.2.3.3 Demographic Reach and Achievements
15.2.3.4 Certifications
15.2.4 Microsoft Corporation (NASDAQ: MSFT)
15.2.4.1 Company Overview
15.2.4.2 Product Portfolio
15.2.4.3 Demographic Reach and Achievements
15.2.4.4 Certifications
15.2.5 Cisco Systems, Inc. (NASDAQ: CSCO)
15.2.5.1 Company Overview
15.2.5.2 Product Portfolio
15.2.5.3 Demographic Reach and Achievements
15.2.5.4 Certifications
15.2.6 Amazon Web Services, Inc.
15.2.6.1 Company Overview
15.2.6.2 Product Portfolio
15.2.6.3 Demographic Reach and Achievements
15.2.6.4 Certifications
15.2.7 International Business Machines Corporation (NYSE: IBM)
15.2.7.1 Company Overview
15.2.7.2 Product Portfolio
15.2.7.3 Demographic Reach and Achievements
15.2.7.4 Certifications
15.2.8 Arm Limited
15.2.8.1 Company Overview
15.2.8.2 Product Portfolio
15.2.8.3 Demographic Reach and Achievements
15.2.8.4 Certifications
15.2.9 Others
16 Key Trends and Developments in the Market
List of Key Figures and Tables
1. Global AI Infrastructure Market: Key Industry Highlights, 2018 and 2032
2. Global AI Infrastructure Historical Market: Breakup by Type (USD Billion), 2018-2023
3. Global AI Infrastructure Market Forecast: Breakup by Type (USD Billion), 2024-2032
4. Global AI Infrastructure Historical Market: Breakup by Technology (USD Billion), 2018-2023
5. Global AI Infrastructure Market Forecast: Breakup by Technology (USD Billion), 2024-2032
6. Global AI Infrastructure Historical Market: Breakup by Deployment (USD Billion), 2018-2023
7. Global AI Infrastructure Market Forecast: Breakup by Deployment (USD Billion), 2024-2032
8. Global AI Infrastructure Historical Market: Breakup by Function (USD Billion), 2018-2023
9. Global AI Infrastructure Market Forecast: Breakup by Function (USD Billion), 2024-2032
10. Global AI Infrastructure Historical Market: Breakup by End Use (USD Billion), 2018-2023
11. Global AI Infrastructure Market Forecast: Breakup by End Use (USD Billion), 2024-2032
12. Global AI Infrastructure Historical Market: Breakup by Region (USD Billion), 2018-2023
13. Global AI Infrastructure Market Forecast: Breakup by Region (USD Billion), 2024-2032
14. North America AI Infrastructure Historical Market: Breakup by Country (USD Billion), 2018-2023
15. North America AI Infrastructure Market Forecast: Breakup by Country (USD Billion), 2024-2032
16. Europe AI Infrastructure Historical Market: Breakup by Country (USD Billion), 2018-2023
17. Europe AI Infrastructure Market Forecast: Breakup by Country (USD Billion), 2024-2032
18. Asia Pacific AI Infrastructure Historical Market: Breakup by Country (USD Billion), 2018-2023
19. Asia Pacific AI Infrastructure Market Forecast: Breakup by Country (USD Billion), 2024-2032
20. Latin America AI Infrastructure Historical Market: Breakup by Country (USD Billion), 2018-2023
21. Latin America AI Infrastructure Market Forecast: Breakup by Country (USD Billion), 2024-2032
22. Middle East and Africa AI Infrastructure Historical Market: Breakup by Country (USD Billion), 2018-2023
23. Middle East and Africa AI Infrastructure Market Forecast: Breakup by Country (USD Billion), 2024-2032
24. Global AI Infrastructure Market Structure
Key Questions Answered in the Report
In 2023, the global AI infrastructure market attained a value of nearly USD 26.18 billion.
The market is projected to grow at a CAGR of 23.80% between 2024 and 2032.
The market is estimated to witness a healthy growth in the forecast period of 2024-2032 to reach about USD 178.95 billion by 2032.
The major drivers expected to aid the market growth are the growing acceptance of AI technology, shift towards cloud machine learning systems, rising preference for AI-based hardware and software, increased data volume from healthcare industry and other sectors, and the heightening focus on parallel computing in AI data centres.
The key market trends guiding the growth of the AI infrastructure industry include cross-industry partnerships and collaborations and the growing technological advancements.
The major regions in the market are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.
Hardware and server software are the major AI infrastructure types in the market.
Machine learning and deep learning are the significant technologies of the product in the market.
On premises, cloud, and hybrid are the major AI infrastructure deployments in the market.
Training and inference are the leading functions of the product in the market.
Enterprises, government organisations, and cloud service providers, among others, are the significant end use sectors in the market.
The major players in the global AI infrastructure market are Intel Corporation, Nvidia Corporation, Google LLC, Microsoft Corporation, Cisco Systems, Inc, Amazon Web Services, Inc., International Business Machines Corporation, and Arm Limited, among others.
Analyst Review
The global AI infrastructure market attained a value of USD 26.18 billion in 2023, driven by the increasing data inflow from several industries and the growing adoption of cloud-based AI infrastructure. Aided by the technological advancements and the increased cross-industry collaborations among manufacturers, the market is expected to witness a further growth in the forecast period of 2024-2032, growing at a CAGR of 23.80%. The market is projected to reach USD 178.95 billion by 2032.
EMR’s meticulous research methodology delves deep into the market, covering the macro and micro aspects of the industry. Based on types, the AI infrastructure industry can be bifurcated into hardware and server software. On the basis of technology, the industry is categorised into machine learning and deep learning. By deployment, the market is divided into on premises, cloud, and hybrid. Based on function, the industry is bifurcated into training and inference. On the basis of end use, the industry is segregated into enterprises, government organisations, and cloud service providers, among others. The major regional markets for AI infrastructure are North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa. The key players in the above market include Intel Corporation (NASDAQ: INTC), Nvidia Corporation (NASDAQ: NVDA), Google LLC, Microsoft Corporation (NASDAQ: MSFT), Cisco Systems, Inc. (NASDAQ: CSCO), Amazon Web Services, Inc., International Business Machines Corporation (NYSE: IBM), and Arm Limited, among others.
EMR’s research methodology uses a combination of cutting-edge analytical tools and the expertise of their highly accomplished team, thus, providing their customers with market insights that are accurate, actionable, and help them remain ahead of their competition.
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