Global GPU Servers for AI Market Growth 2025-2031
Description
The global GPU Servers for AI 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.
GPU servers for AI, or Graphics Processing Unit servers, are specialized computer systems designed to leverage the parallel processing capabilities of GPUs for tasks that require high computational power, such as graphics rendering, scientific simulations, machine learning, and data processing. Unlike traditional servers that rely mainly on central processing units (CPUs), GPU servers for AI integrate one or more powerful GPUs to accelerate specific workloads.
GPU servers for AI are equipped with one or more dedicated graphics cards or GPUs. Modern GPUs are designed not only for rendering graphics but also for performing parallel computations, making them well-suited for various applications beyond graphics processing.
GPUs excel at parallel processing, allowing them to perform many tasks simultaneously. This is particularly beneficial for workloads that can be parallelized, such as scientific simulations, video rendering, and artificial intelligence/machine learning (AI/ML) tasks.
GPU servers for AI contribute significantly to accelerating complex computations in various fields, making them essential in environments where parallel processing capabilities are crucial for efficient task execution.
United States market for GPU Servers for AI 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 GPU Servers for AI 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 GPU Servers for AI is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Global key GPU Servers for AI players cover NVIDIA, Dell Technologies, Hewlett Packard Enterprise (HPE), Supermicro, Lenovo, 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 “GPU Servers for AI Industry Forecast” looks at past sales and reviews total world GPU Servers for AI sales in 2024, providing a comprehensive analysis by region and market sector of projected GPU Servers for AI sales for 2025 through 2031. With GPU Servers for AI sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world GPU Servers for AI industry.
This Insight Report provides a comprehensive analysis of the global GPU Servers for AI 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 GPU Servers for AI portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global GPU Servers for AI market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for GPU Servers for AI 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 GPU Servers for AI.
This report presents a comprehensive overview, market shares, and growth opportunities of GPU Servers for AI market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
Below 4U
4U-12U
Above 12U
Segmentation by Application:
Supercomputers
Data Centers
Desktops and Laptops
Cloud
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
Dell Technologies
Hewlett Packard Enterprise (HPE)
Supermicro
Lenovo
Cisco Systems
ASUS
GIGABYTE
Penguin Computing
MSI (Micro-Star International)
Inspur
Broadberry
Quanta Cloud Technology (QCT)
Tyan
Huawei
BOXX Technologies
Exxact
Bizon
KUNQIAN
Key Questions Addressed in this Report
What is the 10-year outlook for the global GPU Servers for AI market?
What factors are driving GPU Servers for AI market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do GPU Servers for AI market opportunities vary by end market size?
How does GPU Servers for AI break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
GPU servers for AI, or Graphics Processing Unit servers, are specialized computer systems designed to leverage the parallel processing capabilities of GPUs for tasks that require high computational power, such as graphics rendering, scientific simulations, machine learning, and data processing. Unlike traditional servers that rely mainly on central processing units (CPUs), GPU servers for AI integrate one or more powerful GPUs to accelerate specific workloads.
GPU servers for AI are equipped with one or more dedicated graphics cards or GPUs. Modern GPUs are designed not only for rendering graphics but also for performing parallel computations, making them well-suited for various applications beyond graphics processing.
GPUs excel at parallel processing, allowing them to perform many tasks simultaneously. This is particularly beneficial for workloads that can be parallelized, such as scientific simulations, video rendering, and artificial intelligence/machine learning (AI/ML) tasks.
GPU servers for AI contribute significantly to accelerating complex computations in various fields, making them essential in environments where parallel processing capabilities are crucial for efficient task execution.
United States market for GPU Servers for AI 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 GPU Servers for AI 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 GPU Servers for AI is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Global key GPU Servers for AI players cover NVIDIA, Dell Technologies, Hewlett Packard Enterprise (HPE), Supermicro, Lenovo, 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 “GPU Servers for AI Industry Forecast” looks at past sales and reviews total world GPU Servers for AI sales in 2024, providing a comprehensive analysis by region and market sector of projected GPU Servers for AI sales for 2025 through 2031. With GPU Servers for AI sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world GPU Servers for AI industry.
This Insight Report provides a comprehensive analysis of the global GPU Servers for AI 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 GPU Servers for AI portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global GPU Servers for AI market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for GPU Servers for AI 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 GPU Servers for AI.
This report presents a comprehensive overview, market shares, and growth opportunities of GPU Servers for AI market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
Below 4U
4U-12U
Above 12U
Segmentation by Application:
Supercomputers
Data Centers
Desktops and Laptops
Cloud
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
Dell Technologies
Hewlett Packard Enterprise (HPE)
Supermicro
Lenovo
Cisco Systems
ASUS
GIGABYTE
Penguin Computing
MSI (Micro-Star International)
Inspur
Broadberry
Quanta Cloud Technology (QCT)
Tyan
Huawei
BOXX Technologies
Exxact
Bizon
KUNQIAN
Key Questions Addressed in this Report
What is the 10-year outlook for the global GPU Servers for AI market?
What factors are driving GPU Servers for AI market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do GPU Servers for AI market opportunities vary by end market size?
How does GPU Servers for AI break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
141 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 Global by Company
- 4 World Historic Review for GPU Servers for AI by Geographic Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Manufacturing Cost Structure Analysis
- 11 Marketing, Distributors and Customer
- 12 World Forecast Review for GPU Servers for AI by Geographic Region
- 13 Key Players Analysis
- 14 Research Findings and Conclusion
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