Global Motherboards for AI Servers Market Growth 2026-2032
Description
The global Motherboards for AI Servers market size is predicted to grow from US$ 2396 million in 2025 to US$ 7015 million in 2032; it is expected to grow at a CAGR of 16.9% from 2026 to 2032.
Motherboards for AI servers are server motherboards designed for high-performance computing requirements. They typically support multiple accelerator cards (such as GPUs, TPUs, FPGAs), high-speed network interfaces, and large-scale storage solutions to meet the demands of AI training and inference.
United States market for Motherboards for AI Servers is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.
China market for Motherboards for AI Servers is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.
Europe market for Motherboards for AI Servers is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.
Global key Motherboards for AI Servers players cover Supermicro, ASUS, GIGABYTE, MiTAC Computing, Intel, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2025.
LP Information, Inc. (LPI) ' newest research report, the “Motherboards for AI Servers Industry Forecast” looks at past sales and reviews total world Motherboards for AI Servers sales in 2025, providing a comprehensive analysis by region and market sector of projected Motherboards for AI Servers sales for 2026 through 2032. With Motherboards for AI Servers sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Motherboards for AI Servers industry.
This Insight Report provides a comprehensive analysis of the global Motherboards for AI Servers 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 Motherboards for AI Servers portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Motherboards for AI Servers market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Motherboards for AI Servers 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 Motherboards for AI Servers.
This report presents a comprehensive overview, market shares, and growth opportunities of Motherboards for AI Servers market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
GPU-accelerated Motherboards
FPGA-accelerated Motherboards
TPU-accelerated Motherboards
Other
Segmentation by Application:
Internet
Telecommunications
Government
Healthcare
Other
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.
Supermicro
ASUS
GIGABYTE
MiTAC Computing
Intel
Nvidia
LITEON
MSI
Key Questions Addressed in this Report
What is the 10-year outlook for the global Motherboards for AI Servers market?
What factors are driving Motherboards for AI Servers market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do Motherboards for AI Servers market opportunities vary by end market size?
How does Motherboards for AI Servers break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
Motherboards for AI servers are server motherboards designed for high-performance computing requirements. They typically support multiple accelerator cards (such as GPUs, TPUs, FPGAs), high-speed network interfaces, and large-scale storage solutions to meet the demands of AI training and inference.
United States market for Motherboards for AI Servers is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.
China market for Motherboards for AI Servers is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.
Europe market for Motherboards for AI Servers is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.
Global key Motherboards for AI Servers players cover Supermicro, ASUS, GIGABYTE, MiTAC Computing, Intel, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2025.
LP Information, Inc. (LPI) ' newest research report, the “Motherboards for AI Servers Industry Forecast” looks at past sales and reviews total world Motherboards for AI Servers sales in 2025, providing a comprehensive analysis by region and market sector of projected Motherboards for AI Servers sales for 2026 through 2032. With Motherboards for AI Servers sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Motherboards for AI Servers industry.
This Insight Report provides a comprehensive analysis of the global Motherboards for AI Servers 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 Motherboards for AI Servers portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Motherboards for AI Servers market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Motherboards for AI Servers 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 Motherboards for AI Servers.
This report presents a comprehensive overview, market shares, and growth opportunities of Motherboards for AI Servers market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
GPU-accelerated Motherboards
FPGA-accelerated Motherboards
TPU-accelerated Motherboards
Other
Segmentation by Application:
Internet
Telecommunications
Government
Healthcare
Other
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.
Supermicro
ASUS
GIGABYTE
MiTAC Computing
Intel
Nvidia
LITEON
MSI
Key Questions Addressed in this Report
What is the 10-year outlook for the global Motherboards for AI Servers market?
What factors are driving Motherboards for AI Servers market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do Motherboards for AI Servers market opportunities vary by end market size?
How does Motherboards for AI Servers break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
99 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 Motherboards for AI Servers 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 Motherboards for AI Servers by Geographic Region
- 13 Key Players Analysis
- 14 Research Findings and Conclusion
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