Artificial Intelligence (AI) Infrastructure Market Size, Share, and Trends 2024 to 2034

The global artificial intelligence (AI) infrastructure market size is evaluated at USD 60.23 billion in 2025 and is forecasted to hit around USD 499.33 billion by 2034, growing at a CAGR of 26.60% from 2025 to 2034. The North America market size was accounted at USD 19.36 billion in 2024 and is expanding at a CAGR of 26.75% during the forecast period. The market sizing and forecasts are revenue-based (USD Million/Billion), with 2024 as the base year.

  • Last Updated : February 2025
  • Report Code : 4145
  • Category : ICT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Artificial Intelligence (AI) Infrastructure Market 

5.1. COVID-19 Landscape: Artificial Intelligence (AI) Infrastructure Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Artificial Intelligence (AI) Infrastructure Market, By Offering

8.1. Artificial Intelligence (AI) Infrastructure Market, by Offering

8.1.1. Hardware

8.1.1.1. Market Revenue and Forecast

8.1.2. Software

8.1.2.1. Market Revenue and Forecast

Chapter 9. Global Artificial Intelligence (AI) Infrastructure Market, By Deployment

9.1. Artificial Intelligence (AI) Infrastructure Market, by Deployment

9.1.1. On-premises

9.1.1.1. Market Revenue and Forecast

9.1.2. Cloud

9.1.2.1. Market Revenue and Forecast

9.1.3. Hybrid

9.1.3.1. Market Revenue and Forecast

Chapter 10. Global Artificial Intelligence (AI) Infrastructure Market, By Technology 

10.1. Artificial Intelligence (AI) Infrastructure Market, by Technology

10.1.1. Machine Learning

10.1.1.1. Market Revenue and Forecast

10.1.2. Deep Learning

10.1.2.1. Market Revenue and Forecast

Chapter 11. Global Artificial Intelligence (AI) Infrastructure Market, By End-use 

11.1. Artificial Intelligence (AI) Infrastructure Market, by End-use

11.1.1. Enterprises

11.1.1.1. Market Revenue and Forecast

11.1.2. Government Organization

11.1.2.1. Market Revenue and Forecast

11.1.3. Cloud Services Provider

11.1.3.1. Market Revenue and Forecast

Chapter 12. Global Artificial Intelligence (AI) Infrastructure Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Offering

12.1.2. Market Revenue and Forecast, by Deployment

12.1.3. Market Revenue and Forecast, by Technology

12.1.4. Market Revenue and Forecast, by End-use

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Offering

12.1.5.2. Market Revenue and Forecast, by Deployment

12.1.5.3. Market Revenue and Forecast, by Technology

12.1.5.4. Market Revenue and Forecast, by End-use

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Offering

12.1.6.2. Market Revenue and Forecast, by Deployment

12.1.6.3. Market Revenue and Forecast, by Technology

12.1.6.4. Market Revenue and Forecast, by End-use

12.2. Europe

12.2.1. Market Revenue and Forecast, by Offering

12.2.2. Market Revenue and Forecast, by Deployment

12.2.3. Market Revenue and Forecast, by Technology

12.2.4. Market Revenue and Forecast, by End-use

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Offering

12.2.5.2. Market Revenue and Forecast, by Deployment

12.2.5.3. Market Revenue and Forecast, by Technology

12.2.5.4. Market Revenue and Forecast, by End-use

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Offering

12.2.6.2. Market Revenue and Forecast, by Deployment

12.2.6.3. Market Revenue and Forecast, by Technology

12.2.6.4. Market Revenue and Forecast, by End-use

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Offering

12.2.7.2. Market Revenue and Forecast, by Deployment

12.2.7.3. Market Revenue and Forecast, by Technology

12.2.7.4. Market Revenue and Forecast, by End-use

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Offering

12.2.8.2. Market Revenue and Forecast, by Deployment

12.2.8.3. Market Revenue and Forecast, by Technology

12.2.8.4. Market Revenue and Forecast, by End-use

12.3. APAC

12.3.1. Market Revenue and Forecast, by Offering

12.3.2. Market Revenue and Forecast, by Deployment

12.3.3. Market Revenue and Forecast, by Technology

12.3.4. Market Revenue and Forecast, by End-use

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Offering

12.3.5.2. Market Revenue and Forecast, by Deployment

12.3.5.3. Market Revenue and Forecast, by Technology

12.3.5.4. Market Revenue and Forecast, by End-use

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Offering

12.3.6.2. Market Revenue and Forecast, by Deployment

12.3.6.3. Market Revenue and Forecast, by Technology

12.3.6.4. Market Revenue and Forecast, by End-use

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Offering

12.3.7.2. Market Revenue and Forecast, by Deployment

12.3.7.3. Market Revenue and Forecast, by Technology

12.3.7.4. Market Revenue and Forecast, by End-use

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Offering

12.3.8.2. Market Revenue and Forecast, by Deployment

12.3.8.3. Market Revenue and Forecast, by Technology

12.3.8.4. Market Revenue and Forecast, by End-use

12.4. MEA

12.4.1. Market Revenue and Forecast, by Offering

12.4.2. Market Revenue and Forecast, by Deployment

12.4.3. Market Revenue and Forecast, by Technology

12.4.4. Market Revenue and Forecast, by End-use

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Offering

12.4.5.2. Market Revenue and Forecast, by Deployment

12.4.5.3. Market Revenue and Forecast, by Technology

12.4.5.4. Market Revenue and Forecast, by End-use

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Offering

12.4.6.2. Market Revenue and Forecast, by Deployment

12.4.6.3. Market Revenue and Forecast, by Technology

12.4.6.4. Market Revenue and Forecast, by End-use

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Offering

12.4.7.2. Market Revenue and Forecast, by Deployment

12.4.7.3. Market Revenue and Forecast, by Technology

12.4.7.4. Market Revenue and Forecast, by End-use

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Offering

12.4.8.2. Market Revenue and Forecast, by Deployment

12.4.8.3. Market Revenue and Forecast, by Technology

12.4.8.4. Market Revenue and Forecast, by End-use

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Offering

12.5.2. Market Revenue and Forecast, by Deployment

12.5.3. Market Revenue and Forecast, by Technology

12.5.4. Market Revenue and Forecast, by End-use

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Offering

12.5.5.2. Market Revenue and Forecast, by Deployment

12.5.5.3. Market Revenue and Forecast, by Technology

12.5.5.4. Market Revenue and Forecast, by End-use

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Offering

12.5.6.2. Market Revenue and Forecast, by Deployment

12.5.6.3. Market Revenue and Forecast, by Technology

12.5.6.4. Market Revenue and Forecast, by End-use

Chapter 13. Company Profiles

13.1. Advanced Micro Devices, Inc

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Amazon Web Service

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Cadence Design Systems

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Cisco

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Dell

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Google

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Graphcore

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. Gyrfalcon Technology

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Hewlett Packard Enterprise Development LP

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. IBM

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

The global artificial intelligence (AI) infrastructure market size is expected to increase USD 499.33 billion by 2034 from USD 47.23 billion in 2024.

The global artificial intelligence (AI) infrastructure market will register growth rate of 26.60% between 2025 and 2034.

The major players operating in the artificial intelligence (AI) infrastructure market are Advanced Micro Devices, Inc, Amazon Web Service, Cadence Design Systems, Cisco, Dell, Google, Graphcore, Gyrfalcon Technology, Hewlett Packard Enterprise Development LP, IBM, Imagination Technologies, INTEL, Micron Technology, Microsoft, and Others.

The driving factors of the artificial intelligence (AI) infrastructure market are an increasing focus on edge computing solutions and the demand for real-time AI inference and the growth of IoT devices.

North America region will lead the global artificial intelligence (AI) infrastructure market during the forecast period 2025 to 2034.

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