Industry: Service & Software
Published Date: 2025-07-05
Pages: 117 Pages
Report ld: 4784762
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AI Computing Power Market Size(US$)

CAGR 2025-2031
39.8%
Market Size,2031
USD 206,601
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global market for AI Computing Power was estimated to be worth US$ 19637 million in 2024 and is forecast to a readjusted size of US$ 206601 million by 2031 with a CAGR of 39.8% during the forecast period 2025-2031.
AI Computing Power refers to the ability to process and analyze large amounts of data and perform complex computing tasks, and is mainly used in the fields of artificial intelligence, machine learning, and big data analysis. The core of AI computing power lies in high-performance computing (HPC) and cloud computing, relying on powerful hardware support and advanced software algorithms.
The gap between supply and demand of intelligent computing power is one of the major challenges facing the current development of artificial intelligence. With the continuous advancement of AI technology and the continuous expansion of application scenarios, the demand for intelligent computing power will continue to grow. As an important carrier of intelligent computing power, the AI server market will usher in rapid development opportunities. Through hardware innovation, software optimization, the combination of cloud computing and edge computing, as well as multi-party cooperation and policy support, we are expected to gradually narrow the gap between supply and demand of intelligent computing power and promote the widespread application and in-depth development of artificial intelligence technology. In the future, intelligent computing power will continue to play an important role in various fields, promote the intelligent process of society, and bring a better life experience to mankind.
This report aims to provide a comprehensive presentation of the global market for AI Computing Power, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of AI Computing Power by region & country, by Type, and by Application.
The AI Computing Power market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI Computing Power.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of AI Computing Power company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of AI Computing Power in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of AI Computing Power in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
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We unpack rivals’ operation strategies for scattered and highly concentrated industries.
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TABLE OF CONTENTS
1 Market Overview
1.1 AI Computing Power Product Introduction
1.2 Global AI Computing Power Market Size Forecast (2020-2031)
1.3 AI Computing Power Market Trends & Drivers
1.3.1 AI Computing Power Industry Trends
1.3.2 AI Computing Power Market Drivers & Opportunity
1.3.3 AI Computing Power Market Challenges
1.3.4 AI Computing Power Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global AI Computing Power Players Revenue Ranking (2024)
2.2 Global AI Computing Power Revenue by Company (2020-2025)
2.3 Key Companies AI Computing Power Manufacturing Base Distribution and Headquarters
2.4 Key Companies AI Computing Power Product Offered
2.5 Key Companies Time to Begin Mass Production of AI Computing Power
2.6 AI Computing Power Market Competitive Analysis
2.6.1 AI Computing Power Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by AI Computing Power Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI Computing Power as of 2024)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 GPU Computing Power
3.1.2 ASIC Computing Power
3.1.3 Other
3.2 Global AI Computing Power Sales Value by Type
3.2.1 Global AI Computing Power Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global AI Computing Power Sales Value, by Type (2020-2031)
3.2.3 Global AI Computing Power Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Financial Services
4.1.2 Medical Insurance
4.1.3 Smart Manufacturing
4.1.4 Smart Transportation
4.1.5 Others
4.2 Global AI Computing Power Sales Value by Application
4.2.1 Global AI Computing Power Sales Value by Application (2020 VS 2024 VS 2031)
4.2.2 Global AI Computing Power Sales Value, by Application (2020-2031)
4.2.3 Global AI Computing Power Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
5.1 Global AI Computing Power Sales Value by Region
5.1.1 Global AI Computing Power Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global AI Computing Power Sales Value by Region (2020-2025)
5.1.3 Global AI Computing Power Sales Value by Region (2026-2031)
5.1.4 Global AI Computing Power Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America AI Computing Power Sales Value, 2020-2031
5.2.2 North America AI Computing Power Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe AI Computing Power Sales Value, 2020-2031
5.3.2 Europe AI Computing Power Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific AI Computing Power Sales Value, 2020-2031
5.4.2 Asia Pacific AI Computing Power Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America AI Computing Power Sales Value, 2020-2031
5.5.2 South America AI Computing Power Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI Computing Power Sales Value, 2020-2031
5.6.2 Middle East & Africa AI Computing Power Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI Computing Power Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions AI Computing Power Sales Value, 2020-2031
6.3 United States
6.3.1 United States AI Computing Power Sales Value, 2020-2031
6.3.2 United States AI Computing Power Sales Value by Type (%), 2024 VS 2031
6.3.3 United States AI Computing Power Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe AI Computing Power Sales Value, 2020-2031
6.4.2 Europe AI Computing Power Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe AI Computing Power Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China AI Computing Power Sales Value, 2020-2031
6.5.2 China AI Computing Power Sales Value by Type (%), 2024 VS 2031
6.5.3 China AI Computing Power Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan AI Computing Power Sales Value, 2020-2031
6.6.2 Japan AI Computing Power Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan AI Computing Power Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea AI Computing Power Sales Value, 2020-2031
6.7.2 South Korea AI Computing Power Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea AI Computing Power Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia AI Computing Power Sales Value, 2020-2031
6.8.2 Southeast Asia AI Computing Power Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia AI Computing Power Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India AI Computing Power Sales Value, 2020-2031
6.9.2 India AI Computing Power Sales Value by Type (%), 2024 VS 2031
6.9.3 India AI Computing Power Sales Value by Application, 2024 VS 2031
7 Company Profiles
7.1 Nvidia
7.1.1 Nvidia Profile
7.1.2 Nvidia Main Business
7.1.3 Nvidia AI Computing Power Products, Services and Solutions
7.1.4 Nvidia AI Computing Power Revenue (US$ Million) & (2020-2025)
7.1.5 Nvidia Recent Developments
7.2 Intel
7.2.1 Intel Profile
7.2.2 Intel Main Business
7.2.3 Intel AI Computing Power Products, Services and Solutions
7.2.4 Intel AI Computing Power Revenue (US$ Million) & (2020-2025)
7.2.5 Intel Recent Developments
7.3 Microsoft
7.3.1 Microsoft Profile
7.3.2 Microsoft Main Business
7.3.3 Microsoft AI Computing Power Products, Services and Solutions
7.3.4 Microsoft AI Computing Power Revenue (US$ Million) & (2020-2025)
7.3.5 Microsoft Recent Developments
7.4 Amazon Web Services
7.4.1 Amazon Web Services Profile
7.4.2 Amazon Web Services Main Business
7.4.3 Amazon Web Services AI Computing Power Products, Services and Solutions
7.4.4 Amazon Web Services AI Computing Power Revenue (US$ Million) & (2020-2025)
7.4.5 Amazon Web Services Recent Developments
7.5 Google
7.5.1 Google Profile
7.5.2 Google Main Business
7.5.3 Google AI Computing Power Products, Services and Solutions
7.5.4 Google AI Computing Power Revenue (US$ Million) & (2020-2025)
7.5.5 Google Recent Developments
7.6 AMD
7.6.1 AMD Profile
7.6.2 AMD Main Business
7.6.3 AMD AI Computing Power Products, Services and Solutions
7.6.4 AMD AI Computing Power Revenue (US$ Million) & (2020-2025)
7.6.5 AMD Recent Developments
7.7 Huawei
7.7.1 Huawei Profile
7.7.2 Huawei Main Business
7.7.3 Huawei AI Computing Power Products, Services and Solutions
7.7.4 Huawei AI Computing Power Revenue (US$ Million) & (2020-2025)
7.7.5 Huawei Recent Developments
7.8 Tencent
7.8.1 Tencent Profile
7.8.2 Tencent Main Business
7.8.3 Tencent AI Computing Power Products, Services and Solutions
7.8.4 Tencent AI Computing Power Revenue (US$ Million) & (2020-2025)
7.8.5 Tencent Recent Developments
7.9 Alibaba
7.9.1 Alibaba Profile
7.9.2 Alibaba Main Business
7.9.3 Alibaba AI Computing Power Products, Services and Solutions
7.9.4 Alibaba AI Computing Power Revenue (US$ Million) & (2020-2025)
7.9.5 Alibaba Recent Developments
7.10 Baidu
7.10.1 Baidu Profile
7.10.2 Baidu Main Business
7.10.3 Baidu AI Computing Power Products, Services and Solutions
7.10.4 Baidu AI Computing Power Revenue (US$ Million) & (2020-2025)
7.10.5 Baidu Recent Developments
7.11 Cambricon
7.11.1 Cambricon Profile
7.11.2 Cambricon Main Business
7.11.3 Cambricon AI Computing Power Products, Services and Solutions
7.11.4 Cambricon AI Computing Power Revenue (US$ Million) & (2020-2025)
7.11.5 Cambricon Recent Developments
7.12 Dawning Information Industry
7.12.1 Dawning Information Industry Profile
7.12.2 Dawning Information Industry Main Business
7.12.3 Dawning Information Industry AI Computing Power Products, Services and Solutions
7.12.4 Dawning Information Industry AI Computing Power Revenue (US$ Million) & (2020-2025)
7.12.5 Dawning Information Industry Recent Developments
7.13 Inspur Electronic Information Industry
7.13.1 Inspur Electronic Information Industry Profile
7.13.2 Inspur Electronic Information Industry Main Business
7.13.3 Inspur Electronic Information Industry AI Computing Power Products, Services and Solutions
7.13.4 Inspur Electronic Information Industry AI Computing Power Revenue (US$ Million) & (2020-2025)
7.13.5 Inspur Electronic Information Industry Recent Developments
7.14 Hygon Information Technology
7.14.1 Hygon Information Technology Profile
7.14.2 Hygon Information Technology Main Business
7.14.3 Hygon Information Technology AI Computing Power Products, Services and Solutions
7.14.4 Hygon Information Technology AI Computing Power Revenue (US$ Million) & (2020-2025)
7.14.5 Hygon Information Technology Recent Developments
7.15 Graphcore
7.15.1 Graphcore Profile
7.15.2 Graphcore Main Business
7.15.3 Graphcore AI Computing Power Products, Services and Solutions
7.15.4 Graphcore AI Computing Power Revenue (US$ Million) & (2020-2025)
7.15.5 Graphcore Recent Developments
8 Industry Chain Analysis
8.1 AI Computing Power Industrial Chain
8.2 AI Computing Power Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 AI Computing Power Sales Model
8.5.2 Sales Channel
8.5.3 AI Computing Power Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
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