Industry: Service & Software
Published Date: 2025-07-04
Pages: 173 Pages
Report ld: 4782279
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AI Data Center Market Size(US$)

CAGR 2025-2031
36.4%
Market Size,2031
USD 122,298
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global AI Data Center market is projected to grow from US$ 18965 million in 2025 to US$ 122298 million by 2031, at a Compound Annual Growth Rate (CAGR) of 36.4% during the forecast period.
AI Data Center refers to a data center that specifically provides services for artificial intelligence technology and applications. Such data centers are usually equipped with high-performance computing, storage and network equipment to meet the needs of artificial intelligence algorithms and models. AI Data Centers are also usually equipped with large-scale data sets for training and optimizing artificial intelligence models, and provide various services, such as data preprocessing, model training, model inference, etc. Through the AI Data Center, users can quickly develop and deploy various artificial intelligence applications to achieve more efficient data processing and decision-making.
Artificial Intelligence Data Center (AI Data Center) is a data center specially designed to meet the needs of large-scale artificial intelligence (AI) computing. With the rapid development of artificial intelligence technology, data centers not only need to support traditional data storage and computing capabilities, but also need to cope with large-scale parallel computing, efficient processing capabilities and lower latency network requirements. At present, the rapid development of artificial intelligence applications has promoted the transformation of data centers, especially in the fields of deep learning, machine learning, natural language processing and computer vision, which all require huge computing power and massive data storage, which directly promotes the innovation and upgrading of data centers in hardware, software, network and infrastructure.
At present, the construction of artificial intelligence data centers is mainly concentrated in cloud service providers, Internet giants and high-performance computing (HPC) fields. Cloud service platforms such as AWS, Google Cloud, and Microsoft Azure have established efficient data centers that support AI computing around the world. At the same time, the application scenarios of AI technology have gradually expanded, from finance, medical care to manufacturing, autonomous driving and other industries, and the widespread application of artificial intelligence has continuously increased the demand for data centers. AI data centers usually need to adopt advanced hardware equipment, such as graphics processing units (GPUs) and tensor processing units (TPUs), to support the training and reasoning of deep learning models. At the same time, the storage architecture of the data center also needs to take into account the rapid transmission and processing of AI models and data, especially the flow and analysis of massive data.
In the future, with the continuous development of technologies such as 5G, edge computing, and quantum computing, artificial intelligence data centers will usher in more innovation opportunities and challenges. The popularization of 5G technology will accelerate data transmission speed and reduce latency, which will have a profound impact on AI applications, especially in the fields of autonomous driving and intelligent manufacturing. The rise of edge computing means that data processing will occur more at the site where data is generated, rather than in traditional data centers, which will promote the formation of a more decentralized data center architecture. Quantum computing is expected to solve the bottleneck of traditional computers in solving complex problems and provide more powerful computing power for AI algorithms.
In terms of production side, this report researches the AI Data Center production, growth rate, market share by manufacturers and by region (region level and country level), from 2020 to 2025, and forecast to 2031.
In terms of consumption side, this report focuses on the sales of AI Data Center by region (region level and country level), by company, by Type and by Application. from 2020 to 2025 and forecast to 2031.
This report presents an overview of global market for AI Data Center, capacity, output, revenue and price. Analyses of the global market trends, with historic market revenue/sales data for 2020 - 2025, estimates for 2025, and projections of CAGR through 2031.
This report researches the key producers of AI Data Center, also provides the consumption of main regions and countries. Highlights of the upcoming market potential for AI Data Center, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the AI Data Center sales, revenue, market share and industry ranking of main manufacturers, data from 2020 to 2025. Identification of the major stakeholders in the global AI Data Center market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, sales, revenue, and price, from 2020 to 2031. Evaluation and forecast the market size for AI Data Center sales, projected growth trends, production technology, application and end-user industry.
Descriptive company profiles of the major global players, including Microsoft, Amazon Web Services, Google, Alibaba Cloud, Equinix, China Telecom, China Mobile, Oracle, Tencent, China Unicom, etc.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type and by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: AI Data Center production/output of global and key producers (regions/countries). It provides a quantitative analysis of the production, and development potential of each producer in the next six years.
Chapter 3: Sales (consumption), revenue of AI Data Center in global, regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 4: Detailed analysis of AI Data Center manufacturers competitive landscape, price, sales, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by Type, covering the sales, revenue, average price, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by Application, covering the sales, revenue, average price, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: North America (US & Canada) by Type, by Application and by country, sales, and revenue for each segment.
Chapter 8: Europe by Type, by Application and by country, sales, and revenue for each segment.
Chapter 9: China by Type, and by Application, sales, and revenue for each segment.
Chapter 10: Asia (excluding China) by Type, by Application and by region, sales, and revenue for each segment.
Chapter 11: Middle East, Africa, Latin America by Type, by Application and by country, sales, and revenue for each segment.
Chapter 12: Provides profiles of key manufacturers, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI Data Center sales, revenue, price, gross margin, and recent development, etc.
Chapter 13: Analysis of industrial chain, sales channel, key raw materials, distributors and customers.
Chapter 14: Introduces 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 15: The main points and conclusions of the report.
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.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Data Center Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 GPU Data Center
1.2.3 ASIC Data Center
1.2.4 Hybrid Data Center
1.3 Market by Application
1.3.1 Global AI Data Center Market Share by Application: 2020 VS 2024 VS 2031
1.3.2 Financial Services
1.3.3 Medical Insurance
1.3.4 Smart Manufacturing
1.3.5 Smart Transportation
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Data Center Market Perspective (2020-2031)
2.2 Global AI Data Center Growth Trends by Region
2.2.1 Global AI Data Center Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 AI Data Center Market Size by Region (2020-2031)
2.3 AI Data Center Market Dynamics
2.3.1 AI Data Center Industry Trends
2.3.2 AI Data Center Market Drivers
2.3.3 AI Data Center Market Challenges
2.3.4 AI Data Center Market Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue AI Data Center by Players
3.1.1 Global AI Data Center Revenue by Players (2020-2025)
3.1.2 Global AI Data Center Revenue Market Share by Players (2020-2025)
3.2 Global AI Data Center Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of AI Data Center, Ranking by Revenue, 2023 VS 2024 VS 2025
3.4 Global Market Concentration Ratio
3.4.1 Global AI Data Center Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Data Center Revenue in 2024
3.5 Global Key Players of AI Data Center Head office and Area Served
3.6 Global Key Players of AI Data Center, Product and Application
3.7 Global Key Players of AI Data Center, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Breakdown Data by Type
4.1 Global AI Data Center Historic Market Size by Type (2020-2025)
4.2 Global AI Data Center Forecasted Market Size by Type (2026-2031)
5 Breakdown Data by Application
5.1 Global AI Data Center Historic Market Size by Application (2020-2025)
5.2 Global AI Data Center Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America AI Data Center Market Size (2020-2031)
6.2 North America Market Size by Type
6.2.1 North America AI Data Center Market Size by Type (2020-2031)
6.2.2 North America AI Data Center Market Share by Type (2020-2031)
6.3 North America Market Size by Application
6.3.1 North America AI Data Center Market Size by Application (2020-2031)
6.3.2 North America AI Data Center Market Share by Application (2020-2031)
6.4 North America Market Size by Country
6.4.1 North America AI Data Center Market Size by Country: 2020 VS 2024 VS 2031
6.4.2 North America AI Data Center Market Size by Country (2020-2031)
6.4.3 United States
6.4.4 Canada
7 Europe
7.1 Europe AI Data Center Market Size (2020-2031)
7.2 Europe Market Size by Type
7.2.1 Europe AI Data Center Market Size by Type (2020-2031)
7.2.2 Europe AI Data Center Market Share by Type (2020-2031)
7.3 Europe Market Size by Application
7.3.1 Europe AI Data Center Market Size by Application (2020-2031)
7.3.2 Europe AI Data Center Market Share by Application (2020-2031)
7.4 Europe Market Size by Country
7.4.1 Europe AI Data Center Market Size by Country: 2020 VS 2024 VS 2031
7.4.2 Europe AI Data Center Market Size by Country (2020-2025)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China AI Data Center Market Size (2020-2031)
8.2 China Market Size by Type
8.2.1 China AI Data Center Market Size by Type (2020-2031)
8.2.2 China AI Data Center Market Share by Type (2020-2031)
8.3 China Market Size by Application
8.3.1 China AI Data Center Market Size by Application (2020-2031)
8.3.2 China AI Data Center Market Share by Application (2020-2031)
9 Asia (excluding China)
9.1 Asia AI Data Center Market Size (2020-2031)
9.2 Asia Market Size by Type
9.2.1 Asia AI Data Center Market Size by Type (2020-2031)
9.2.2 Asia AI Data Center Market Share by Type (2020-2031)
9.3 Asia Market Size by Application
9.3.1 Asia AI Data Center Market Size by Application (2020-2031)
9.3.2 Asia AI Data Center Market Share by Application (2020-2031)
9.4 Asia Market Size by Region
9.4.1 Asia AI Data Center Market Size by Region: 2020 VS 2024 VS 2031
9.4.2 Asia AI Data Center Market Size by Region (2020-2031)
9.4.3 Japan
9.4.4 South Korea
9.4.5 China Taiwan
9.4.6 Southeast Asia
9.4.7 India
9.4.8 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America AI Data Center Market Size (2020-2031)
10.2 Middle East, Africa, and Latin America Market Size by Type
10.2.1 Middle East, Africa, and Latin America AI Data Center Market Size by Type (2020-2031)
10.2.2 Middle East, Africa, and Latin America AI Data Center Market Share by Type (2020-2031)
10.3 Middle East, Africa, and Latin America Market Size by Application
10.3.1 Middle East, Africa, and Latin America AI Data Center Market Size by Application (2020-2031)
10.3.2 Middle East, Africa, and Latin America Market Share by Application (2020-2031)
10.4 Middle East, Africa, and Latin America Market Size by Country
10.4.1 Middle East, Africa, and Latin America AI Data Center Market Size by Country: 2020 VS 2024 VS 2031
10.4.2 Middle East, Africa, and Latin America AI Data Center Market Size by Country (2020-2031)
10.4.3 Brazil
10.4.4 Mexico
10.4.5 Turkey
10.4.6 Saudi Arabia
10.4.7 Israel
10.4.8 GCC Countries
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Details
11.1.2 Microsoft Business Overview
11.1.3 Microsoft AI Data Center Introduction
11.1.4 Microsoft Revenue in AI Data Center Business (2020-2025)
11.1.5 Microsoft Recent Development
11.2 Amazon Web Services
11.2.1 Amazon Web Services Company Details
11.2.2 Amazon Web Services Business Overview
11.2.3 Amazon Web Services AI Data Center Introduction
11.2.4 Amazon Web Services Revenue in AI Data Center Business (2020-2025)
11.2.5 Amazon Web Services Recent Development
11.3 Google
11.3.1 Google Company Details
11.3.2 Google Business Overview
11.3.3 Google AI Data Center Introduction
11.3.4 Google Revenue in AI Data Center Business (2020-2025)
11.3.5 Google Recent Development
11.4 Alibaba Cloud
11.4.1 Alibaba Cloud Company Details
11.4.2 Alibaba Cloud Business Overview
11.4.3 Alibaba Cloud AI Data Center Introduction
11.4.4 Alibaba Cloud Revenue in AI Data Center Business (2020-2025)
11.4.5 Alibaba Cloud Recent Development
11.5 Equinix
11.5.1 Equinix Company Details
11.5.2 Equinix Business Overview
11.5.3 Equinix AI Data Center Introduction
11.5.4 Equinix Revenue in AI Data Center Business (2020-2025)
11.5.5 Equinix Recent Development
11.6 China Telecom
11.6.1 China Telecom Company Details
11.6.2 China Telecom Business Overview
11.6.3 China Telecom AI Data Center Introduction
11.6.4 China Telecom Revenue in AI Data Center Business (2020-2025)
11.6.5 China Telecom Recent Development
11.7 China Mobile
11.7.1 China Mobile Company Details
11.7.2 China Mobile Business Overview
11.7.3 China Mobile AI Data Center Introduction
11.7.4 China Mobile Revenue in AI Data Center Business (2020-2025)
11.7.5 China Mobile Recent Development
11.8 Oracle
11.8.1 Oracle Company Details
11.8.2 Oracle Business Overview
11.8.3 Oracle AI Data Center Introduction
11.8.4 Oracle Revenue in AI Data Center Business (2020-2025)
11.8.5 Oracle Recent Development
11.9 Tencent
11.9.1 Tencent Company Details
11.9.2 Tencent Business Overview
11.9.3 Tencent AI Data Center Introduction
11.9.4 Tencent Revenue in AI Data Center Business (2020-2025)
11.9.5 Tencent Recent Development
11.10 China Unicom
11.10.1 China Unicom Company Details
11.10.2 China Unicom Business Overview
11.10.3 China Unicom AI Data Center Introduction
11.10.4 China Unicom Revenue in AI Data Center Business (2020-2025)
11.10.5 China Unicom Recent Development
11.11 IBM
11.11.1 IBM Company Details
11.11.2 IBM Business Overview
11.11.3 IBM AI Data Center Introduction
11.11.4 IBM Revenue in AI Data Center Business (2020-2025)
11.11.5 IBM Recent Development
11.12 Digital Realty
11.12.1 Digital Realty Company Details
11.12.2 Digital Realty Business Overview
11.12.3 Digital Realty AI Data Center Introduction
11.12.4 Digital Realty Revenue in AI Data Center Business (2020-2025)
11.12.5 Digital Realty Recent Development
11.13 NTT Communications
11.13.1 NTT Communications Company Details
11.13.2 NTT Communications Business Overview
11.13.3 NTT Communications AI Data Center Introduction
11.13.4 NTT Communications Revenue in AI Data Center Business (2020-2025)
11.13.5 NTT Communications Recent Development
11.14 GDS
11.14.1 GDS Company Details
11.14.2 GDS Business Overview
11.14.3 GDS AI Data Center Introduction
11.14.4 GDS Revenue in AI Data Center Business (2020-2025)
11.14.5 GDS Recent Development
11.15 21Vianet Group
11.15.1 21Vianet Group Company Details
11.15.2 21Vianet Group Business Overview
11.15.3 21Vianet Group AI Data Center Introduction
11.15.4 21Vianet Group Revenue in AI Data Center Business (2020-2025)
11.15.5 21Vianet Group Recent Development
11.16 Range Intelligent
11.16.1 Range Intelligent Company Details
11.16.2 Range Intelligent Business Overview
11.16.3 Range Intelligent AI Data Center Introduction
11.16.4 Range Intelligent Revenue in AI Data Center Business (2020-2025)
11.16.5 Range Intelligent Recent Development
11.17 EQT(EdgeConneX)
11.17.1 EQT(EdgeConneX) Company Details
11.17.2 EQT(EdgeConneX) Business Overview
11.17.3 EQT(EdgeConneX) AI Data Center Introduction
11.17.4 EQT(EdgeConneX) Revenue in AI Data Center Business (2020-2025)
11.17.5 EQT(EdgeConneX) Recent Development
11.18 CyrusOne
11.18.1 CyrusOne Company Details
11.18.2 CyrusOne Business Overview
11.18.3 CyrusOne AI Data Center Introduction
11.18.4 CyrusOne Revenue in AI Data Center Business (2020-2025)
11.18.5 CyrusOne Recent Development
11.19 Sinnet Technology
11.19.1 Sinnet Technology Company Details
11.19.2 Sinnet Technology Business Overview
11.19.3 Sinnet Technology AI Data Center Introduction
11.19.4 Sinnet Technology Revenue in AI Data Center Business (2020-2025)
11.19.5 Sinnet Technology Recent Development
11.20 Iron Mountain
11.20.1 Iron Mountain Company Details
11.20.2 Iron Mountain Business Overview
11.20.3 Iron Mountain AI Data Center Introduction
11.20.4 Iron Mountain Revenue in AI Data Center Business (2020-2025)
11.20.5 Iron Mountain Recent Development
11.21 Baosight Software
11.21.1 Baosight Software Company Details
11.21.2 Baosight Software Business Overview
11.21.3 Baosight Software AI Data Center Introduction
11.21.4 Baosight Software Revenue in AI Data Center Business (2020-2025)
11.21.5 Baosight Software Recent Development
11.22 Telehouse
11.22.1 Telehouse Company Details
11.22.2 Telehouse Business Overview
11.22.3 Telehouse AI Data Center Introduction
11.22.4 Telehouse Revenue in AI Data Center Business (2020-2025)
11.22.5 Telehouse Recent Development
11.23 AtHub
11.23.1 AtHub Company Details
11.23.2 AtHub Business Overview
11.23.3 AtHub AI Data Center Introduction
11.23.4 AtHub Revenue in AI Data Center Business (2020-2025)
11.23.5 AtHub Recent Development
11.24 Coresite
11.24.1 Coresite Company Details
11.24.2 Coresite Business Overview
11.24.3 Coresite AI Data Center Introduction
11.24.4 Coresite Revenue in AI Data Center Business (2020-2025)
11.24.5 Coresite Recent Development
11.25 Centersquare
11.25.1 Centersquare Company Details
11.25.2 Centersquare Business Overview
11.25.3 Centersquare AI Data Center Introduction
11.25.4 Centersquare Revenue in AI Data Center Business (2020-2025)
11.25.5 Centersquare Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 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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