Picture
SEARCH
What are you looking for?
Need help finding what you are looking for? Contact Us
Compare

PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1755592

Cover Image

PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1755592

Global AI Infrastructure Market Size Study & Forecast, by Offering (Hardware and Software) and Deployment (On-Premises, Cloud, Hybrid) and Regional Forecasts 2022-2032

PUBLISHED:
PAGES: 285 Pages
DELIVERY TIME: 2-3 business days
SELECT AN OPTION
Unprintable PDF (Single User License)
USD 4950
Printable PDF (Enterprise License)
USD 6250

Add to Cart

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
  • Customization Scope - Free report customization (equivalent up to 8 analysts' working hours) with purchase. Addition or alteration to country, regional & segment scope*

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
    • U.S.
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
  • Middle East & Africa
    • UAE
    • Saudi Arabia
    • South Africa
    • 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.

Table of Contents

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)
Have a question?
Picture

Jeroen Van Heghe

Manager - EMEA

+32-2-535-7543

Picture

Christine Sirois

Manager - Americas

+1-860-674-8796

Questions? Please give us a call or visit the contact form.
Hi, how can we help?
Contact us!