Global AI Computing Power Infrastructure Market Growth (Status and Outlook) 2025-2031

The global AI Computing Power Infrastructure market size is predicted to grow from US$ 327650 million in 2025 to US$ 2101510 million in 2031; it is expected to grow at a CAGR of 36.3% from 2025 to 2031.

AI Computing Power Infrastructure refers to the foundational technology stack and resources required to develop, deploy, and manage artificial intelligence (AI) applications and systems. This infrastructure encompasses hardware, software, platforms, and tools that enable organizations to effectively run AI workloads. As AI continues to evolve and integrate into various industries, robust AI infrastructure becomes critical for tackling the complexities associated with AI development and operations.

As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. Organizations across various sectors (healthcare, finance, retail, manufacturing, etc.) are increasingly adopting AI technologies to enhance efficiency, reduce costs, and improve decision-making. This demand drives the need for robust AI infrastructure to support these initiatives.

LPI (LP Information)' newest research report, the “AI Computing Power Infrastructure Industry Forecast” looks at past sales and reviews total world AI Computing Power Infrastructure sales in 2024, providing a comprehensive analysis by region and market sector of projected AI Computing Power Infrastructure sales for 2025 through 2031. With AI Computing Power Infrastructure sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Computing Power Infrastructure industry.

This Insight Report provides a comprehensive analysis of the global AI Computing Power Infrastructure landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI Computing Power Infrastructure portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Computing Power Infrastructure market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Computing Power Infrastructure and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Computing Power Infrastructure.

This report presents a comprehensive overview, market shares, and growth opportunities of AI Computing Power Infrastructure market by product type, application, key players and key regions and countries.

Segmentation by Type:
Hardware
Service
Software

Segmentation by Application:
Internet
BFSI
Automotive
Medical and Healthcare
Telecommunication
Retail
Industrial
IT Service
Government
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Google
Nvidia
Microsoft
Amazon
IBM
Oracle
Cisco
Dell
Baidu
HPE
Alibaba
Samsung
Huawei
SK Hynix
Intel
AMD
ARM

Please note: The report will take approximately 2 business days to prepare and deliver. Show more