Selected research
Industry Research
Motherboards for AI Servers Industry Research Report 2026
Market perspective
The global Motherboards for AI Servers market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
The North America market for Motherboards for AI Servers is forecast to increase from US$ million in 2026 to US$ million by 2032, corresponding to a CAGR of % over 2026–2032.
The Europe market for Motherboards for AI Servers is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032.
Read the full market overview
The Asia Pacific market for Motherboards for AI Servers is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032.
Leading global manufacturers of Motherboards for AI Servers include among others. In 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
This report quantifies the global Motherboards for AI Servers market in revenue (US$ million) and, where applicable, sales volume (k units), using 2025 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of types and applications, harmonizes vendor attribution, and presents comparable time series by company, type, application, and region/country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10).
The outputs are intended to support strategy development, budgeting, and performance benchmarking for manufacturers, new entrants, channel partners, and investors; the report also reviews technology shifts and notable product introductions relevant to Motherboards for AI Servers.
Key Companies & Market Share Insights
This section profiles leading manufacturers, combining 2021–2025 results with a 2026–2032 outlook. It reports revenue, market share, price bands, product and application mix, regional and channel mix, and key developments (M&A, capacity additions, certifications). It also provides global revenue, average price, and—where applicable—sales volume by manufacturer, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
Motherboards for AI Servers Market by Company
LITEON
MSI
Supermicro
ASUS
GIGABYTE
MiTAC Computing
Intel
Nvidia
Motherboards for AI Servers Segment by Type
GPU-accelerated Motherboards
FPGA-accelerated Motherboards
TPU-accelerated Motherboards
Other
Motherboards for AI Servers Segment by Application
Internet
Telecommunications
Government
Healthcare
Other
Motherboards for AI Servers Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Motherboards for AI Servers market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Motherboards for AI Servers and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Motherboards for AI Servers.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 3: Detailed analysis of Motherboards for AI Servers manufacturers competitive landscape, price, production and value market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product production/output, value, price, gross margin, product introduction, recent development, etc.
Chapter 5: Production/output, value of Motherboards for AI Servers by region/country. It provides a quantitative analysis of the market size and development potential of each region in the next six years.
Chapter 6: Consumption of Motherboards for AI Servers in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and production of each country in the world.
Chapter 7: 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 8: 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 9: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 10: Introduces 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 11: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- GPU-accelerated Motherboards
- FPGA-accelerated Motherboards
- TPU-accelerated Motherboards
- Other
Applications
- Internet
- Telecommunications
- Government
- Healthcare
- Other
Companies covered
- LITEON
- MSI
- Supermicro
- ASUS
- GIGABYTE
- MiTAC Computing
- Intel
- Nvidia
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 Motherboards for AI Servers by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032) & (US$ Million)
- 2.2.2 GPU-accelerated Motherboards
- 2.2.3 FPGA-accelerated Motherboards
- 2.2.4 TPU-accelerated Motherboards
- 2.2.5 Other
- 2.3 Motherboards for AI Servers by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032) & (US$ Million)
- 2.3.2 Internet
- 2.3.3 Telecommunications
- 2.3.4 Government
- 2.3.5 Healthcare
- 2.3.6 Other
- 2.4 Global Market Growth Prospects
- 2.4.1 Global Motherboards for AI Servers Production Value Estimates and Forecasts (2021-2032)
- 2.4.2 Global Motherboards for AI Servers Production Capacity Estimates and Forecasts (2021-2032)
- 2.4.3 Global Motherboards for AI Servers Production Estimates and Forecasts (2021-2032)
- 2.4.4 Global Motherboards for AI Servers Market Average Price (2021-2032)
3 Market Competitive Landscape by Manufacturers
- 3.1 Global Motherboards for AI Servers Production by Manufacturers (2021-2026)
- 3.2 Global Motherboards for AI Servers Production Value by Manufacturers (2021-2026)
- 3.3 Global Motherboards for AI Servers Average Price by Manufacturers (2021-2026)
- 3.4 Global Motherboards for AI Servers Industry Manufacturers Ranking, 2024 VS 2025 VS 2026
- 3.5 Global Motherboards for AI Servers Key Manufacturers, Manufacturing Sites & Headquarters
- 3.6 Global Motherboards for AI Servers Manufacturers, Product Type & Application
- 3.7 Global Motherboards for AI Servers Manufacturers Established Date
- 3.8 Global Motherboards for AI Servers Market CR5 and HHI
- 3.9 Global Manufacturers Mergers & Acquisition
4 Manufacturers Profiled
- 4.1 LITEON
- 4.1.1 LITEON Motherboards for AI Servers Company Information
- 4.1.2 LITEON Motherboards for AI Servers Business Overview
- 4.1.3 LITEON Motherboards for AI Servers Production, Value and Gross Margin (2021-2026)
- 4.1.4 LITEON Product Portfolio
- 4.1.5 LITEON Recent Developments
- 4.2 MSI
- 4.2.1 MSI Motherboards for AI Servers Company Information
- 4.2.2 MSI Motherboards for AI Servers Business Overview
- 4.2.3 MSI Motherboards for AI Servers Production, Value and Gross Margin (2021-2026)
- 4.2.4 MSI Product Portfolio
- 4.2.5 MSI Recent Developments
- 4.3 Supermicro
- 4.3.1 Supermicro Motherboards for AI Servers Company Information
- 4.3.2 Supermicro Motherboards for AI Servers Business Overview
- 4.3.3 Supermicro Motherboards for AI Servers Production, Value and Gross Margin (2021-2026)
- 4.3.4 Supermicro Product Portfolio
- 4.3.5 Supermicro Recent Developments
- 4.4 ASUS
- 4.4.1 ASUS Motherboards for AI Servers Company Information
- 4.4.2 ASUS Motherboards for AI Servers Business Overview
- 4.4.3 ASUS Motherboards for AI Servers Production, Value and Gross Margin (2021-2026)
- 4.4.4 ASUS Product Portfolio
- 4.4.5 ASUS Recent Developments
- 4.5 GIGABYTE
- 4.5.1 GIGABYTE Motherboards for AI Servers Company Information
- 4.5.2 GIGABYTE Motherboards for AI Servers Business Overview
- 4.5.3 GIGABYTE Motherboards for AI Servers Production, Value and Gross Margin (2021-2026)
- 4.5.4 GIGABYTE Product Portfolio
- 4.5.5 GIGABYTE Recent Developments
- 4.6 MiTAC Computing
- 4.6.1 MiTAC Computing Motherboards for AI Servers Company Information
- 4.6.2 MiTAC Computing Motherboards for AI Servers Business Overview
- 4.6.3 MiTAC Computing Motherboards for AI Servers Production, Value and Gross Margin (2021-2026)
- 4.6.4 MiTAC Computing Product Portfolio
- 4.6.5 MiTAC Computing Recent Developments
- 4.7 Intel
- 4.7.1 Intel Motherboards for AI Servers Company Information
- 4.7.2 Intel Motherboards for AI Servers Business Overview
- 4.7.3 Intel Motherboards for AI Servers Production, Value and Gross Margin (2021-2026)
- 4.7.4 Intel Product Portfolio
- 4.7.5 Intel Recent Developments
- 4.8 Nvidia
- 4.8.1 Nvidia Motherboards for AI Servers Company Information
- 4.8.2 Nvidia Motherboards for AI Servers Business Overview
- 4.8.3 Nvidia Motherboards for AI Servers Production, Value and Gross Margin (2021-2026)
- 4.8.4 Nvidia Product Portfolio
- 4.8.5 Nvidia Recent Developments
5 Global Motherboards for AI Servers Production by Region
- 5.1 Global Motherboards for AI Servers Production Estimates and Forecasts by Region: 2021 VS 2025 VS 2032
- 5.2 Global Motherboards for AI Servers Production by Region: 2021-2032
- 5.2.1 Global Motherboards for AI Servers Production by Region: 2021-2026
- 5.2.2 Global Motherboards for AI Servers Production Forecast by Region (2027-2032)
- 5.3 Global Motherboards for AI Servers Production Value Estimates and Forecasts by Region: 2021 VS 2025 VS 2032
- 5.4 Global Motherboards for AI Servers Production Value by Region: 2021-2032
- 5.4.1 Global Motherboards for AI Servers Production Value by Region: 2021-2026
- 5.4.2 Global Motherboards for AI Servers Production Value Forecast by Region (2027-2032)
- 5.5 Global Motherboards for AI Servers Market Price Analysis by Region (2021-2026)
- 5.6 Global Motherboards for AI Servers Production and Value, YOY Growth
- 5.6.1 North America Motherboards for AI Servers Production Value Estimates and Forecasts (2021-2032)
- 5.6.2 Europe Motherboards for AI Servers Production Value Estimates and Forecasts (2021-2032)
- 5.6.3 China Motherboards for AI Servers Production Value Estimates and Forecasts (2021-2032)
- 5.6.4 Japan Motherboards for AI Servers Production Value Estimates and Forecasts (2021-2032)
- 5.6.5 South Korea Motherboards for AI Servers Production Value Estimates and Forecasts (2021-2032)
6 Global Motherboards for AI Servers Consumption by Region
- 6.1 Global Motherboards for AI Servers Consumption Estimates and Forecasts by Region: 2021 VS 2025 VS 2032
- 6.2 Global Motherboards for AI Servers Consumption by Region (2021-2032)
- 6.2.1 Global Motherboards for AI Servers Consumption by Region: 2021-2026
- 6.2.2 Global Motherboards for AI Servers Forecasted Consumption by Region (2027-2032)
- 6.3 North America
- 6.3.1 North America Motherboards for AI Servers Consumption Growth Rate by Country: 2021 VS 2025 VS 2032
- 6.3.2 North America Motherboards for AI Servers Consumption by Country (2021-2032)
- 6.3.3 United States
- 6.3.4 Canada
- 6.3.5 Mexico
- 6.4 Europe
- 6.4.1 Europe Motherboards for AI Servers Consumption Growth Rate by Country: 2021 VS 2025 VS 2032
- 6.4.2 Europe Motherboards for AI Servers Consumption by Country (2021-2032)
- 6.4.3 Germany
- 6.4.4 France
- 6.4.5 U.K.
- 6.4.6 Italy
- 6.4.7 Russia
- 6.4.8 Spain
- 6.4.9 Netherlands
- 6.4.10 Switzerland
- 6.4.11 Sweden
- 6.4.12 Poland
- 6.5 Asia Pacific
- 6.5.1 Asia Pacific Motherboards for AI Servers Consumption Growth Rate by Country: 2021 VS 2025 VS 2032
- 6.5.2 Asia Pacific Motherboards for AI Servers Consumption by Country (2021-2032)
- 6.5.3 China
- 6.5.4 Japan
- 6.5.5 South Korea
- 6.5.6 India
- 6.5.7 Australia
- 6.5.8 Taiwan
- 6.5.9 Southeast Asia
- 6.6 South America, Middle East & Africa
- 6.6.1 South America, Middle East & Africa Motherboards for AI Servers Consumption Growth Rate by Country: 2021 VS 2025 VS 2032
- 6.6.2 South America, Middle East & Africa Motherboards for AI Servers Consumption by Country (2021-2032)
- 6.6.3 Brazil
- 6.6.4 Argentina
- 6.6.5 Chile
- 6.6.6 Turkey
- 6.6.7 GCC Countries
7 Segment by Type
- 7.1 Global Motherboards for AI Servers Production by Type (2021-2032)
- 7.1.1 Global Motherboards for AI Servers Production by Type (2021-2032) & (k units)
- 7.1.2 Global Motherboards for AI Servers Production Market Share by Type (2021-2032)
- 7.2 Global Motherboards for AI Servers Production Value by Type (2021-2032)
- 7.2.1 Global Motherboards for AI Servers Production Value by Type (2021-2032) & (US$ Million)
- 7.2.2 Global Motherboards for AI Servers Production Value Market Share by Type (2021-2032)
- 7.3 Global Motherboards for AI Servers Price by Type (2021-2032)
8 Segment by Application
- 8.1 Global Motherboards for AI Servers Production by Application (2021-2032)
- 8.1.1 Global Motherboards for AI Servers Production by Application (2021-2032) & (k units)
- 8.1.2 Global Motherboards for AI Servers Production Market Share by Application (2021-2032)
- 8.2 Global Motherboards for AI Servers Production Value by Application (2021-2032)
- 8.2.1 Global Motherboards for AI Servers Production Value by Application (2021-2032) & (US$ Million)
- 8.2.2 Global Motherboards for AI Servers Production Value Market Share by Application (2021-2032)
- 8.3 Global Motherboards for AI Servers Price by Application (2021-2032)
9 Value Chain and Sales Channels Analysis of the Market
- 9.1 Motherboards for AI Servers Value Chain Analysis
- 9.1.1 Motherboards for AI Servers Key Raw Materials
- 9.1.2 Raw Materials Key Suppliers
- 9.1.3 Motherboards for AI Servers Production Mode & Process
- 9.2 Motherboards for AI Servers Sales Channels Analysis
- 9.2.1 Direct Comparison with Distribution Share
- 9.2.2 Motherboards for AI Servers Distributors
- 9.2.3 Motherboards for AI Servers Customers
10 Global Motherboards for AI Servers Analyzing Market Dynamics
- 10.1 Motherboards for AI Servers Industry Trends
- 10.2 Motherboards for AI Servers Industry Drivers
- 10.3 Motherboards for AI Servers Industry Opportunities and Challenges
- 10.4 Motherboards for AI Servers Industry Restraints
11 Report Conclusion
12 Disclaimer
GET THE RESEARCH
Choose your license.
Choose who needs access.
All options are for this report and research series.
PDF by email within 3–5 working days after payment confirmation.
Talk to an analyst