AI Chips for Data Center and Cloud Market Size, Share, and Trends 2026 to 2035

AI Chips for Data Center and Cloud Market (By Chip Type: GPUs (Graphics Processing Units), CPUs with AI acceleration, FPGAs (Field Programmable Gate Arrays), ASICs/Custom AI Accelerators, NPUs/TPUs; By Processing Type: Training chips, Inference chips, Inference-optimized accelerators; By Data Center Type: Hyperscale data centers, Enterprise data centers, Colocation data centers, Cloud service provider data centers; By Application: AI model training (LLMs, deep learning), Natural language processing, Computer vision, Recommendation engines, Speech recognition, Generative AI workloads) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 24 Dec 2025  |  Report Code : 7254  |  Category : ICT   |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

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 AI Chips for Data Center and Cloud Market 

5.1. COVID-19 Landscape: AI Chips for Data Center and Cloud 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 AI Chips for Data Center and Cloud Market, By Chip Type

8.1. AI Chips for Data Center and Cloud Market Revenue and Volume Forecast, by Chip Type

8.1.1. GPUs (Graphics Processing Units)

8.1.1.1. Market Revenue and Volume Forecast

8.1.2. CPUs with AI acceleration

8.1.2.1. Market Revenue and Volume Forecast

8.1.3. FPGAs (Field Programmable Gate Arrays)

8.1.3.1. Market Revenue and Volume Forecast

8.1.4. ASICs/Custom AI Accelerators

8.1.4.1. Market Revenue and Volume Forecast

8.1.5. NPUs/TPUs

8.1.5.1. Market Revenue and Volume Forecast

Chapter 9. Global AI Chips for Data Center and Cloud Market, By Processing Type

9.1. AI Chips for Data Center and Cloud Market Revenue and Volume Forecast, by Processing Type

9.1.1. Training chips

9.1.1.1. Market Revenue and Volume Forecast

9.1.2. Inference chips

9.1.2.1. Market Revenue and Volume Forecast

9.1.3. Inference-optimized accelerators

9.1.3.1. Market Revenue and Volume Forecast

Chapter 10. Global AI Chips for Data Center and Cloud Market, By Data Center Type

10.1. AI Chips for Data Center and Cloud Market Revenue and Volume Forecast, by Data Center Type

10.1.1. Hyperscale data centers

10.1.1.1. Market Revenue and Volume Forecast

10.1.2. Enterprise data centers

10.1.2.1. Market Revenue and Volume Forecast

10.1.3. Colocation data centers

10.1.3.1. Market Revenue and Volume Forecast

10.1.4. Cloud service provider data centers

10.1.4.1. Market Revenue and Volume Forecast

Chapter 11. Global AI Chips for Data Center and Cloud Market, By Application

11.1. AI Chips for Data Center and Cloud Market Revenue and Volume Forecast, by Application

11.1.1. AI model training (LLMs, deep learning)

11.1.1.1. Market Revenue and Volume Forecast

11.1.2. Natural language processing

11.1.2.1. Market Revenue and Volume Forecast

11.1.3. Computer vision

11.1.3.1. Market Revenue and Volume Forecast

11.1.4. Recommendation engines

11.1.4.1. Market Revenue and Volume Forecast

11.1.5. Speech recognition

11.1.5.1. Market Revenue and Volume Forecast

11.1.6. Generative AI workloads

11.1.6.1. Market Revenue and Volume Forecast

Chapter 12. Global AI Chips for Data Center and Cloud Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Volume Forecast, by Chip Type

12.1.2. Market Revenue and Volume Forecast, by Processing Type

12.1.3. Market Revenue and Volume Forecast, by Data Center Type

12.1.4. Market Revenue and Volume Forecast, by Application

12.1.5. U.S.

12.1.5.1. Market Revenue and Volume Forecast, by Chip Type

12.1.5.2. Market Revenue and Volume Forecast, by Processing Type

12.1.5.3. Market Revenue and Volume Forecast, by Data Center Type

12.1.5.4. Market Revenue and Volume Forecast, by Application

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Volume Forecast, by Chip Type

12.1.6.2. Market Revenue and Volume Forecast, by Processing Type

12.1.6.3. Market Revenue and Volume Forecast, by Data Center Type

12.1.6.4. Market Revenue and Volume Forecast, by Application

12.2. Europe

12.2.1. Market Revenue and Volume Forecast, by Chip Type

12.2.2. Market Revenue and Volume Forecast, by Processing Type

12.2.3. Market Revenue and Volume Forecast, by Data Center Type

12.2.4. Market Revenue and Volume Forecast, by Application

12.2.5. UK

12.2.5.1. Market Revenue and Volume Forecast, by Chip Type

12.2.5.2. Market Revenue and Volume Forecast, by Processing Type

12.2.5.3. Market Revenue and Volume Forecast, by Data Center Type

12.2.5.4. Market Revenue and Volume Forecast, by Application

12.2.6. Germany

12.2.6.1. Market Revenue and Volume Forecast, by Chip Type

12.2.6.2. Market Revenue and Volume Forecast, by Processing Type

12.2.6.3. Market Revenue and Volume Forecast, by Data Center Type

12.2.6.4. Market Revenue and Volume Forecast, by Application

12.2.7. France

12.2.7.1. Market Revenue and Volume Forecast, by Chip Type

12.2.7.2. Market Revenue and Volume Forecast, by Processing Type

12.2.7.3. Market Revenue and Volume Forecast, by Data Center Type

12.2.7.4. Market Revenue and Volume Forecast, by Application

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Volume Forecast, by Chip Type

12.2.8.2. Market Revenue and Volume Forecast, by Processing Type

12.2.8.3. Market Revenue and Volume Forecast, by Data Center Type

12.2.8.4. Market Revenue and Volume Forecast, by Application

12.3. APAC

12.3.1. Market Revenue and Volume Forecast, by Chip Type

12.3.2. Market Revenue and Volume Forecast, by Processing Type

12.3.3. Market Revenue and Volume Forecast, by Data Center Type

12.3.4. Market Revenue and Volume Forecast, by Application

12.3.5. India

12.3.5.1. Market Revenue and Volume Forecast, by Chip Type

12.3.5.2. Market Revenue and Volume Forecast, by Processing Type

12.3.5.3. Market Revenue and Volume Forecast, by Data Center Type

12.3.5.4. Market Revenue and Volume Forecast, by Application

12.3.6. China

12.3.6.1. Market Revenue and Volume Forecast, by Chip Type

12.3.6.2. Market Revenue and Volume Forecast, by Processing Type

12.3.6.3. Market Revenue and Volume Forecast, by Data Center Type

12.3.6.4. Market Revenue and Volume Forecast, by Application

12.3.7. Japan

12.3.7.1. Market Revenue and Volume Forecast, by Chip Type

12.3.7.2. Market Revenue and Volume Forecast, by Processing Type

12.3.7.3. Market Revenue and Volume Forecast, by Data Center Type

12.3.7.4. Market Revenue and Volume Forecast, by Application

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Volume Forecast, by Chip Type

12.3.8.2. Market Revenue and Volume Forecast, by Processing Type

12.3.8.3. Market Revenue and Volume Forecast, by Data Center Type

12.3.8.4. Market Revenue and Volume Forecast, by Application

12.4. MEA

12.4.1. Market Revenue and Volume Forecast, by Chip Type

12.4.2. Market Revenue and Volume Forecast, by Processing Type

12.4.3. Market Revenue and Volume Forecast, by Data Center Type

12.4.4. Market Revenue and Volume Forecast, by Application

12.4.5. GCC

12.4.5.1. Market Revenue and Volume Forecast, by Chip Type

12.4.5.2. Market Revenue and Volume Forecast, by Processing Type

12.4.5.3. Market Revenue and Volume Forecast, by Data Center Type

12.4.5.4. Market Revenue and Volume Forecast, by Application

12.4.6. North Africa

12.4.6.1. Market Revenue and Volume Forecast, by Chip Type

12.4.6.2. Market Revenue and Volume Forecast, by Processing Type

12.4.6.3. Market Revenue and Volume Forecast, by Data Center Type

12.4.6.4. Market Revenue and Volume Forecast, by Application

12.4.7. South Africa

12.4.7.1. Market Revenue and Volume Forecast, by Chip Type

12.4.7.2. Market Revenue and Volume Forecast, by Processing Type

12.4.7.3. Market Revenue and Volume Forecast, by Data Center Type

12.4.7.4. Market Revenue and Volume Forecast, by Application

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Volume Forecast, by Chip Type

12.4.8.2. Market Revenue and Volume Forecast, by Processing Type

12.4.8.3. Market Revenue and Volume Forecast, by Data Center Type

12.4.8.4. Market Revenue and Volume Forecast, by Application

12.5. Latin America

12.5.1. Market Revenue and Volume Forecast, by Chip Type

12.5.2. Market Revenue and Volume Forecast, by Processing Type

12.5.3. Market Revenue and Volume Forecast, by Data Center Type

12.5.4. Market Revenue and Volume Forecast, by Application

12.5.5. Brazil

12.5.5.1. Market Revenue and Volume Forecast, by Chip Type

12.5.5.2. Market Revenue and Volume Forecast, by Processing Type

12.5.5.3. Market Revenue and Volume Forecast, by Data Center Type

12.5.5.4. Market Revenue and Volume Forecast, by Application

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Volume Forecast, by Chip Type

12.5.6.2. Market Revenue and Volume Forecast, by Processing Type

12.5.6.3. Market Revenue and Volume Forecast, by Data Center Type

12.5.6.4. Market Revenue and Volume Forecast, by Application

Chapter 13. Company Profiles

13.1. Microsoft (Azure)

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial PerChip Typeance

13.1.4. Recent Initiatives

13.2. Meta Platforms

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial PerChip Typeance

13.2.4. Recent Initiatives

13.3. Cerebras Systems

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial PerChip Typeance

13.3.4. Recent Initiatives

13.4. NVIDIA

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial PerChip Typeance

13.4.4. Recent Initiatives

13.5. AMD

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial PerChip Typeance

13.5.4. Recent Initiatives

13.6. Intel

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial PerChip Typeance

13.6.4. Recent Initiatives

13.7. Google

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial PerChip Typeance

13.7.4. Recent Initiatives

13.8. Amazon Web Services

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial PerChip Typeance

13.8.4. Recent Initiatives

13.9. Abbott

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial PerChip Typeance

13.9.4. Recent Initiatives

13.10. Abbott

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial PerChip Typeance

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

Answer : The major players in the AI chips for data center and cloud market include Amazon Web Services, Google, Intel, AMD, NVIDIA, Microsoft (Azure), Meta Platforms, Cerebras Systems, Groq, and Huawei.

Answer : The driving factors of the AI chips for data center and cloud market are the technological advancements in parallel processing architectures and specialized AI accelerators such as NPUs, TPUs, and GPUs.

Answer : North America region will lead the global AI chips for data center and cloud market during the forecast period 2026 to 2035.

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