The global AI Server GPU Chips market size is predicted to grow from US$ million in 2025 to US$ million in 2031; it is expected to grow at a CAGR of %from 2025 to 2031.
The AI server adopts GPU architecture, which is more suitable for large-scale parallel computing than CPU. General-purpose servers use CPUs as the source of computing power, while AI servers are heterogeneous servers that can use different combinations according to the application scope, such as CPUGPU, CPUTPU, CPU and other accelerator cards, etc. The GPU mainly provides computing power.
United States market for AI Server GPU Chips is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
China market for AI Server GPU Chips is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Europe market for AI Server GPU Chips is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Global key AI Server GPU Chips players cover NVIDIA, AMD, Intel, Qualcomm, Imagination Technologies, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.
LP Information, Inc. (LPI) ' newest research report, the “AI Server GPU Chips Industry Forecast” looks at past sales and reviews total world AI Server GPU Chips sales in 2024, providing a comprehensive analysis by region and market sector of projected AI Server GPU Chips sales for 2025 through 2031. With AI Server GPU Chips sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Server GPU Chips industry.
This Insight Report provides a comprehensive analysis of the global AI Server GPU Chips landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on AI Server GPU Chips portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Server GPU Chips market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Server GPU Chips 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 Server GPU Chips.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Server GPU Chips market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
16GB
24GB
32GB
64GB
80GB
Others
Segmentation by Application:
Deep Learning Training
Intelligent Applied Reasoning
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 analysing the company's coverage, product portfolio, its market penetration.
NVIDIA
AMD
Intel
Qualcomm
Imagination Technologies
HUAWEI
Iluvatar CoreX
HYGON
Moore Threads
Cambricon
T-Head
Enflame
Biren Technology
MetaX
Key Questions Addressed in this Report
What is the 10-year outlook for the global AI Server GPU Chips market?
What factors are driving AI Server GPU Chips market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do AI Server GPU Chips market opportunities vary by end market size?
How does AI Server GPU Chips break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
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