
Global AI Infrastructure Market Size Study & Forecast, by Offering (Hardware and Software) and Deployment (On-Premises, Cloud, Hybrid) and Regional Forecasts 2022-2032
Description
The Global AI Infrastructure Market is valued approximately at USD 47.24 billion in 2024 and is anticipated to expand at a robust CAGR of 29.10% during the forecast period of 2025–2035. AI infrastructure encompasses the comprehensive suite of hardware components—such as GPUs, ASICs, CPUs, networking equipment, and storage arrays—and the accompanying software frameworks, including AI platforms, orchestration tools, and middleware, that collectively enable the development, training, deployment, and management of artificial intelligence workloads. With enterprises increasingly integrating AI into their core operations to drive automation, enhance decision-making, and unlock new revenue streams, the demand for scalable, high-performance infrastructure solutions has surged. The ongoing proliferation of data coupled with advances in deep learning algorithms compels organizations to invest heavily in next-generation compute and software stacks to maintain competitive advantage in an AI-driven economy.
Propelled by the explosion of generative AI applications and the relentless rise in AI-driven analytics across sectors—from automotive autonomous systems to personalized healthcare diagnostics—the market is witnessing unprecedented momentum. Public cloud providers are augmenting their service portfolios with specialized AI accelerators and managed machine learning platforms, further lowering the barrier to entry for organizations of all sizes. Simultaneously, hyperscale data center expansions and edge computing deployments are creating lucrative opportunities for infrastructure vendors to furnish tailored, low-latency solutions. While the shift towards sustainable, energy-efficient architectures poses engineering challenges, it also stimulates innovation in liquid cooling, chiplet designs, and workload-specific optimization, fostering a dynamic ecosystem characterized by rapid technological evolution.
Regionally, North America commands the largest share of the AI infrastructure market, underpinned by its concentration of leading hyperscale cloud providers, semiconductor powerhouses, and a mature data center footprint that collectively catalyze early adoption and large-scale deployments. Europe follows closely, buoyed by substantial investments in AI research initiatives and regulatory frameworks that incentivize digital transformation. The Asia Pacific region is poised for the fastest growth trajectory, driven by aggressive digitalization agendas in China and India, the rollout of 5G networks enabling edge AI use cases, and escalating procurements by both public and private sectors. Latin America and Middle East & Africa are emerging markets, where burgeoning startup ecosystems and national AI strategies are beginning to stimulate infrastructure spending, albeit from a smaller base.
Major market players included in this report are:
• NVIDIA Corporation
• Intel Corporation
• Advanced Micro Devices, Inc. (AMD)
• Microsoft Corporation
• Google LLC
• Amazon Web Services, Inc.
• IBM Corporation
• Dell Technologies Inc.
• Hewlett Packard Enterprise Development LP
• Cisco Systems, Inc.
• Oracle Corporation
• Huawei Technologies Co., Ltd.
• Alibaba Cloud (Alibaba Group Holding Limited)
• Tencent Cloud (Tencent Holdings Limited)
• Micron Technology, Inc.
Global AI Infrastructure Market Report Scope:
• Historical Data – 2023, 2024
• Base Year for Estimation – 2024
• Forecast Period – 2025–2035
• Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
• Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players.
By Offering:
• Hardware
• Software
By Deployment:
• On-Premises
• Cloud
• Hybrid
By End-User:
• Enterprises
• Government Organizations
• Cloud Service Providers
By Region:
• North America
o U.S.
o Canada
• Europe
o UK
o Germany
o France
o Spain
o Italy
o Rest of Europe
• Asia Pacific
o China
o India
o Japan
o Australia
o South Korea
o Rest of Asia Pacific
• Latin America
o Brazil
o Mexico
• Middle East & Africa
o UAE
o Saudi Arabia
o South Africa
o Rest of Middle East & Africa
Key Takeaways:
• Market Estimates & Forecast for 10 years from 2025 to 2035.
• Annualized revenues and regional level analysis for each market segment.
• Detailed analysis of geographical landscape with Country level analysis of major regions.
• Competitive landscape with information on major players in the market.
• Analysis of key business strategies and recommendations on future market approach.
• Analysis of competitive structure of the market.
• Demand side and supply side analysis of the market.
Please note:The single user license is non-downloadable and non-printable. Global Site license allows these actions.
Propelled by the explosion of generative AI applications and the relentless rise in AI-driven analytics across sectors—from automotive autonomous systems to personalized healthcare diagnostics—the market is witnessing unprecedented momentum. Public cloud providers are augmenting their service portfolios with specialized AI accelerators and managed machine learning platforms, further lowering the barrier to entry for organizations of all sizes. Simultaneously, hyperscale data center expansions and edge computing deployments are creating lucrative opportunities for infrastructure vendors to furnish tailored, low-latency solutions. While the shift towards sustainable, energy-efficient architectures poses engineering challenges, it also stimulates innovation in liquid cooling, chiplet designs, and workload-specific optimization, fostering a dynamic ecosystem characterized by rapid technological evolution.
Regionally, North America commands the largest share of the AI infrastructure market, underpinned by its concentration of leading hyperscale cloud providers, semiconductor powerhouses, and a mature data center footprint that collectively catalyze early adoption and large-scale deployments. Europe follows closely, buoyed by substantial investments in AI research initiatives and regulatory frameworks that incentivize digital transformation. The Asia Pacific region is poised for the fastest growth trajectory, driven by aggressive digitalization agendas in China and India, the rollout of 5G networks enabling edge AI use cases, and escalating procurements by both public and private sectors. Latin America and Middle East & Africa are emerging markets, where burgeoning startup ecosystems and national AI strategies are beginning to stimulate infrastructure spending, albeit from a smaller base.
Major market players included in this report are:
• NVIDIA Corporation
• Intel Corporation
• Advanced Micro Devices, Inc. (AMD)
• Microsoft Corporation
• Google LLC
• Amazon Web Services, Inc.
• IBM Corporation
• Dell Technologies Inc.
• Hewlett Packard Enterprise Development LP
• Cisco Systems, Inc.
• Oracle Corporation
• Huawei Technologies Co., Ltd.
• Alibaba Cloud (Alibaba Group Holding Limited)
• Tencent Cloud (Tencent Holdings Limited)
• Micron Technology, Inc.
Global AI Infrastructure Market Report Scope:
• Historical Data – 2023, 2024
• Base Year for Estimation – 2024
• Forecast Period – 2025–2035
• Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
• Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players.
By Offering:
• Hardware
• Software
By Deployment:
• On-Premises
• Cloud
• Hybrid
By End-User:
• Enterprises
• Government Organizations
• Cloud Service Providers
By Region:
• North America
o U.S.
o Canada
• Europe
o UK
o Germany
o France
o Spain
o Italy
o Rest of Europe
• Asia Pacific
o China
o India
o Japan
o Australia
o South Korea
o Rest of Asia Pacific
• Latin America
o Brazil
o Mexico
• Middle East & Africa
o UAE
o Saudi Arabia
o South Africa
o Rest of Middle East & Africa
Key Takeaways:
• Market Estimates & Forecast for 10 years from 2025 to 2035.
• Annualized revenues and regional level analysis for each market segment.
• Detailed analysis of geographical landscape with Country level analysis of major regions.
• Competitive landscape with information on major players in the market.
• Analysis of key business strategies and recommendations on future market approach.
• Analysis of competitive structure of the market.
• Demand side and supply side analysis of the market.
Please note:The single user license is non-downloadable and non-printable. Global Site license allows these actions.
Table of Contents
285 Pages
- Chapter 1. Global AI Infrastructure Market Report Scope & Methodology
- 1.1. Research Objective
- 1.2. Research Methodology
- 1.2.1. Forecast Model
- 1.2.2. Desk Research
- 1.2.3. Top-Down and Bottom-Up Approach
- 1.3. Research Attributes
- 1.4. Scope of the Study
- 1.4.1. Market Definition
- 1.4.2. Market Segmentation
- 1.5. Research Assumption
- 1.5.1. Inclusion & Exclusion
- 1.5.2. Limitations
- 1.5.3. Years Considered for the Study
- Chapter 2. Executive Summary
- 2.1. CEO/CXO Standpoint
- 2.2. Strategic Insights
- 2.3. ESG Analysis
- 2.4. Key Findings
- Chapter 3. Global AI Infrastructure Market Forces Analysis
- 3.1. Market Forces Shaping the Global AI Infrastructure Market (2024-2035)
- 3.2. Drivers
- 3.2.1. Proliferation of AI Adoption Across Industries
- 3.2.2. Expansion of Hyperscale Cloud Infrastructure
- 3.3. Restraints
- 3.3.1. High Capital Expenditure and Operational Costs
- 3.3.2. Energy Consumption and Sustainability Challenges
- 3.4. Opportunities
- 3.4.1. Emergence of Edge AI and IoT Integration
- 3.4.2. Advancements in Energy-Efficient Hardware and Green Computing
- Chapter 4. Global AI Infrastructure Industry Analysis
- 4.1. Porter’s 5 Forces Model
- 4.1.1. Bargaining Power of Buyer
- 4.1.2. Bargaining Power of Supplier
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.2. Porter’s 5 Forces Forecast Model (2024-2035)
- 4.3. PESTEL Analysis
- 4.3.1. Political
- 4.3.2. Economical
- 4.3.3. Social
- 4.3.4. Technological
- 4.3.5. Environmental
- 4.3.6. Legal
- 4.4. Top Investment Opportunities
- 4.5. Top Winning Strategies (2025)
- 4.6. Market Share Analysis (2024-2025)
- 4.7. Global Pricing Analysis and Trends 2025
- 4.8. Analyst Recommendation & Conclusion
- Chapter 5. Global AI Infrastructure Market Size & Forecasts by Offering 2025–2035
- 5.1. Market Overview
- 5.2. Global AI Infrastructure Market Performance – Potential Analysis (2025)
- 5.3. Hardware
- 5.3.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
- 5.3.2. Market Size Analysis, by Region, 2025–2035
- 5.4. Software
- 5.4.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
- 5.4.2. Market Size Analysis, by Region, 2025–2035
- Chapter 6. Global AI Infrastructure Market Size & Forecasts by Deployment 2025–2035
- 6.1. Market Overview
- 6.2. Global AI Infrastructure Market Performance – Potential Analysis (2025)
- 6.3. On-Premises
- 6.3.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
- 6.3.2. Market Size Analysis, by Region, 2025–2035
- 6.4. Cloud
- 6.4.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
- 6.4.2. Market Size Analysis, by Region, 2025–2035
- 6.5. Hybrid
- 6.5.1. Top Countries Breakdown Estimates & Forecasts, 2024–2035
- 6.5.2. Market Size Analysis, by Region, 2025–2035
- Chapter 7. Global AI Infrastructure Market Size & Forecasts by Region 2025–2035
- 7.1. Global AI Infrastructure Market, Regional Market Snapshot
- 7.2. Top Leading & Emerging Countries
- 7.3. North America AI Infrastructure Market
- 7.3.1. U.S. AI Infrastructure Market
- 7.3.1.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.3.1.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.3.2. Canada AI Infrastructure Market
- 7.3.2.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.3.2.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.4. Europe AI Infrastructure Market
- 7.4.1. UK AI Infrastructure Market
- 7.4.1.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.4.1.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.4.2. Germany AI Infrastructure Market
- 7.4.2.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.4.2.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.4.3. France AI Infrastructure Market
- 7.4.3.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.4.3.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.4.4. Spain AI Infrastructure Market
- 7.4.4.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.4.4.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.4.5. Italy AI Infrastructure Market
- 7.4.5.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.4.5.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.4.6. Rest of Europe AI Infrastructure Market
- 7.4.6.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.4.6.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.5. Asia Pacific AI Infrastructure Market
- 7.5.1. China AI Infrastructure Market
- 7.5.1.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.5.1.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.5.2. India AI Infrastructure Market
- 7.5.2.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.5.2.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.5.3. Japan AI Infrastructure Market
- 7.5.3.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.5.3.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.5.4. Australia AI Infrastructure Market
- 7.5.4.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.5.4.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.5.5. South Korea AI Infrastructure Market
- 7.5.5.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.5.5.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.5.6. Rest of Asia Pacific AI Infrastructure Market
- 7.5.6.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.5.6.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.6. Latin America AI Infrastructure Market
- 7.6.1. Brazil AI Infrastructure Market
- 7.6.1.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.6.1.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.6.2. Mexico AI Infrastructure Market
- 7.6.2.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.6.2.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.7. Middle East & Africa AI Infrastructure Market
- 7.7.1. UAE AI Infrastructure Market
- 7.7.1.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.7.1.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.7.2. Saudi Arabia AI Infrastructure Market
- 7.7.2.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.7.2.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.7.3. South Africa AI Infrastructure Market
- 7.7.3.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.7.3.2. Deployment Breakdown Size & Forecasts, 2025–2035
- 7.7.4. Rest of Middle East & Africa AI Infrastructure Market
- 7.7.4.1. Offering Breakdown Size & Forecasts, 2025–2035
- 7.7.4.2. Deployment Breakdown Size & Forecasts, 2025–2035
- Chapter 8. Competitive Intelligence
- 8.1. Top Market Strategies
- 8.2. NVIDIA Corporation
- 8.2.1. Company Overview
- 8.2.2. Key Executives
- 8.2.3. Company Snapshot
- 8.2.4. Financial Performance (Subject to Data Availability)
- 8.2.5. Product/Services Portfolio
- 8.2.6. Recent Development
- 8.2.7. Market Strategies
- 8.2.8. SWOT Analysis
- 8.3. Intel Corporation
- 8.4. Advanced Micro Devices, Inc. (AMD)
- 8.5. Microsoft Corporation
- 8.6. Google LLC
- 8.7. Amazon Web Services, Inc.
- 8.8. IBM Corporation
- 8.9. Dell Technologies Inc.
- 8.10. Hewlett Packard Enterprise Development LP
- 8.11. Cisco Systems, Inc.
- 8.12. Oracle Corporation
- 8.13. Huawei Technologies Co., Ltd.
- 8.14. Alibaba Cloud (Alibaba Group Holding Limited)
- 8.15. Tencent Cloud (Tencent Holdings Limited)
- List of Tables
- Table 1. Global AI Infrastructure Market, Report Scope
- Table 2. Global AI Infrastructure Market Estimates & Forecasts By Region 2024–2035
- Table 3. Global AI Infrastructure Market Estimates & Forecasts By Offering 2024–2035
- Table 4. Global AI Infrastructure Market Estimates & Forecasts By Deployment 2024–2035
- Table 5. Global AI Infrastructure Market Estimates & Forecasts By End-User 2024–2035
- Table 6. Global AI Infrastructure Market Estimates & Forecasts By Segment 2024–2035
- Table 7. U.S. AI Infrastructure Market Estimates & Forecasts, 2024–2035
- Table 8. Canada AI Infrastructure Market Estimates & Forecasts, 2024–2035
- Table 9. UK AI Infrastructure Market Estimates & Forecasts, 2024–2035
- Table 10. Germany AI Infrastructure Market Estimates & Forecasts, 2024–2035
- Table 11. France AI Infrastructure Market Estimates & Forecasts, 2024–2035
- Table 12. Spain AI Infrastructure Market Estimates & Forecasts, 2024–2035
- Table 13. Italy AI Infrastructure Market Estimates & Forecasts, 2024–2035
- Table 14. Rest of Europe AI Infrastructure Market Estimates & Forecasts, 2024–2035
- Table 15. China AI Infrastructure Market Estimates & Forecasts, 2024–2035
- Table 16. India AI Infrastructure Market Estimates & Forecasts, 2024–2035
- Table 17. Japan AI Infrastructure Market Estimates & Forecasts, 2024–2035
- Table 18. Australia AI Infrastructure Market Estimates & Forecasts, 2024–2035
- Table 19. South Korea AI Infrastructure Market Estimates & Forecasts, 2024–2035
- Table 20. Rest of Asia Pacific AI Infrastructure Market Estimates & Forecasts, 2024–2035
- …………
- List of Figures
- Figure 1. Global AI Infrastructure Market, Research Methodology
- Figure 2. Global AI Infrastructure Market, Market Estimation Techniques
- Figure 3. Global Market Size Estimates & Forecast Methods
- Figure 4. Global AI Infrastructure Market, Key Trends 2025
- Figure 5. Global AI Infrastructure Market, Growth Prospects 2024–2035
- Figure 6. Global AI Infrastructure Market, Porter’s Five Forces Model
- Figure 7. Global AI Infrastructure Market, PESTEL Analysis
- Figure 8. Global AI Infrastructure Market, Value Chain Analysis
- Figure 9. AI Infrastructure Market By Offering, 2025 & 2035
- Figure 10. AI Infrastructure Market By Deployment, 2025 & 2035
- Figure 11. AI Infrastructure Market By End-User, 2025 & 2035
- Figure 12. AI Infrastructure Market By Segment, 2025 & 2035
- Figure 13. North America AI Infrastructure Market, 2025 & 2035
- Figure 14. Europe AI Infrastructure Market, 2025 & 2035
- Figure 15. Asia Pacific AI Infrastructure Market, 2025 & 2035
- Figure 16. Latin America AI Infrastructure Market, 2025 & 2035
- Figure 17. Middle East & Africa AI Infrastructure Market, 2025 & 2035
- …………
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