The Market Reports

Synopsis
The global market for AI Data Center was estimated to be worth US$ 14901 million in 2024 and is forecast to a readjusted size of US$ 122298 million by 2031 with a CAGR of 36.4% during the forecast period 2025-2031.
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.
This report aims to provide a comprehensive presentation of the global market for AI Data Center, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of AI Data Center by region & country, by Type, and by Application.
The AI Data Center 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 Data Center.
Market Segmentation
By Company
Microsoft
Amazon Web Services
Google
Alibaba Cloud
Equinix
China Telecom
China Mobile
Oracle
Tencent
China Unicom
IBM
Digital Realty
NTT Communications
GDS
21Vianet Group
Range Intelligent
EQT(EdgeConneX)
CyrusOne
Sinnet Technology
Iron Mountain
Baosight Software
Telehouse​
AtHub
Coresite
Centersquare
Segment by Type
GPU Data Center
ASIC Data Center
Hybrid Data Center
Segment by Application
Financial Services
Medical Insurance
Smart Manufacturing
Smart Transportation
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia-Pacific
Europe
Germany
France
U.K.
Italy
Netherlands
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
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 Data Center 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 Data Center 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 Data Center 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.

Index