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Rack-scale AI Solution for Datacenter Industry Research Report 2026
Market perspective
The global Rack-scale AI Solution for Datacenter market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
North America: the Rack-scale AI Solution for Datacenter market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the Rack-scale AI Solution for Datacenter market is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032. Asia Pacific: the Rack-scale AI Solution for Datacenter market is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032. Leading global service providers of Rack-scale AI Solution for Datacenter include Supermicro, NVIDIA, Hewlett Packard Enterprise, d-Matrix, Qualcomm, Dell, GigaIO, Vertiv and Astera Labs, among others; in 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
Read the full market overview
This report quantifies the global Rack-scale AI Solution for Datacenter market in terms of revenue (US$ million) and, where applicable, service volume (k units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to Rack-scale AI Solution for Datacenter.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
Rack-scale AI Solution for Datacenter Market by Company
Supermicro
NVIDIA
Hewlett Packard Enterprise
d-Matrix
Qualcomm
Dell
GigaIO
Vertiv
Astera Labs
Penguin Solutions
HIPER Global
SourceCode
GIGABYTE
Rack-scale AI Solution for Datacenter Segment by Type
Rack-scale Air-cooling Solution
Rack-scale Liquid-cooling Solution
Rack-scale AI Solution for Datacenter Segment by Application
Oil & Gas
Scientific Research
Finance
Automotive
Healthcare
Others
Rack-scale AI Solution for Datacenter Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Colombia
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
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 Rack-scale AI Solution for Datacenter 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 Rack-scale AI Solution for Datacenter 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 Rack-scale AI Solution for Datacenter.
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 (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: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments 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 5: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 6: Detailed analysis of Rack-scale AI Solution for Datacenter companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South America, Middle East and Africa segment by country. 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 capacity of each country in the world.
Chapter 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Rack-scale Air-cooling Solution
- Rack-scale Liquid-cooling Solution
Applications
- Oil & Gas
- Scientific Research
- Finance
- Automotive
- Healthcare
- Others
Companies covered
- Supermicro
- NVIDIA
- Hewlett Packard Enterprise
- d-Matrix
- Qualcomm
- Dell
- GigaIO
- Vertiv
- Astera Labs
- Penguin Solutions
- HIPER Global
- SourceCode
- GIGABYTE
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 Rack-scale AI Solution for Datacenter by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Rack-scale Air-cooling Solution
- 2.2.3 Rack-scale Liquid-cooling Solution
- 2.3 Rack-scale AI Solution for Datacenter by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Oil & Gas
- 2.3.3 Scientific Research
- 2.3.4 Finance
- 2.3.5 Automotive
- 2.3.6 Healthcare
- 2.3.7 Others
- 2.4 Assumptions and Limitations
3 Rack-scale AI Solution for Datacenter Breakdown Data by Type
- 3.1 Global Rack-scale AI Solution for Datacenter Historic Market Size by Type (2021-2026)
- 3.2 Global Rack-scale AI Solution for Datacenter Forecasted Market Size by Type (2027-2032)
4 Rack-scale AI Solution for Datacenter Breakdown Data by Application
- 4.1 Global Rack-scale AI Solution for Datacenter Historic Market Size by Application (2021-2026)
- 4.2 Global Rack-scale AI Solution for Datacenter Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global Rack-scale AI Solution for Datacenter Market Perspective (2021-2032)
- 5.2 Global Rack-scale AI Solution for Datacenter Growth Trends by Region
- 5.2.1 Global Rack-scale AI Solution for Datacenter Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 Rack-scale AI Solution for Datacenter Historic Market Size by Region (2021-2026)
- 5.2.3 Rack-scale AI Solution for Datacenter Forecasted Market Size by Region (2027-2032)
- 5.3 Rack-scale AI Solution for Datacenter Market Dynamics
- 5.3.1 Rack-scale AI Solution for Datacenter Industry Trends
- 5.3.2 Rack-scale AI Solution for Datacenter Market Drivers
- 5.3.3 Rack-scale AI Solution for Datacenter Market Challenges
- 5.3.4 Rack-scale AI Solution for Datacenter Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top Rack-scale AI Solution for Datacenter Players by Revenue
- 6.1.1 Global Top Rack-scale AI Solution for Datacenter Players by Revenue (2021-2026)
- 6.1.2 Global Rack-scale AI Solution for Datacenter Revenue Market Share by Players (2021-2026)
- 6.2 Global Rack-scale AI Solution for Datacenter Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of Rack-scale AI Solution for Datacenter Head Office and Area Served
- 6.4 Global Rack-scale AI Solution for Datacenter Players, Product Type & Application
- 6.5 Global Rack-scale AI Solution for Datacenter Manufacturers Established Date
- 6.6 Global Rack-scale AI Solution for Datacenter Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America Rack-scale AI Solution for Datacenter Market Size (2021-2032)
- 7.2 North America Rack-scale AI Solution for Datacenter Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America Rack-scale AI Solution for Datacenter Market Size by Country (2021-2026)
- 7.4 North America Rack-scale AI Solution for Datacenter Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe Rack-scale AI Solution for Datacenter Market Size (2021-2032)
- 8.2 Europe Rack-scale AI Solution for Datacenter Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe Rack-scale AI Solution for Datacenter Market Size by Country (2021-2026)
- 8.4 Europe Rack-scale AI Solution for Datacenter Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific Rack-scale AI Solution for Datacenter Market Size (2021-2032)
- 9.2 Asia-Pacific Rack-scale AI Solution for Datacenter Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific Rack-scale AI Solution for Datacenter Market Size by Country (2021-2026)
- 9.4 Asia-Pacific Rack-scale AI Solution for Datacenter Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America Rack-scale AI Solution for Datacenter Market Size (2021-2032)
- 10.2 South America Rack-scale AI Solution for Datacenter Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America Rack-scale AI Solution for Datacenter Market Size by Country (2021-2026)
- 10.4 South America Rack-scale AI Solution for Datacenter Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa Rack-scale AI Solution for Datacenter Market Size (2021-2032)
- 11.2 Middle East & Africa Rack-scale AI Solution for Datacenter Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa Rack-scale AI Solution for Datacenter Market Size by Country (2021-2026)
- 11.4 Middle East & Africa Rack-scale AI Solution for Datacenter Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 Supermicro
- 12.1.1 Supermicro Company Information
- 12.1.2 Supermicro Business Overview
- 12.1.3 Supermicro Revenue in Rack-scale AI Solution for Datacenter Business (2021-2026)
- 12.1.4 Supermicro Rack-scale AI Solution for Datacenter Product Portfolio
- 12.1.5 Supermicro Recent Developments
- 12.2 NVIDIA
- 12.2.1 NVIDIA Company Information
- 12.2.2 NVIDIA Business Overview
- 12.2.3 NVIDIA Revenue in Rack-scale AI Solution for Datacenter Business (2021-2026)
- 12.2.4 NVIDIA Rack-scale AI Solution for Datacenter Product Portfolio
- 12.2.5 NVIDIA Recent Developments
- 12.3 Hewlett Packard Enterprise
- 12.3.1 Hewlett Packard Enterprise Company Information
- 12.3.2 Hewlett Packard Enterprise Business Overview
- 12.3.3 Hewlett Packard Enterprise Revenue in Rack-scale AI Solution for Datacenter Business (2021-2026)
- 12.3.4 Hewlett Packard Enterprise Rack-scale AI Solution for Datacenter Product Portfolio
- 12.3.5 Hewlett Packard Enterprise Recent Developments
- 12.4 d-Matrix
- 12.4.1 d-Matrix Company Information
- 12.4.2 d-Matrix Business Overview
- 12.4.3 d-Matrix Revenue in Rack-scale AI Solution for Datacenter Business (2021-2026)
- 12.4.4 d-Matrix Rack-scale AI Solution for Datacenter Product Portfolio
- 12.4.5 d-Matrix Recent Developments
- 12.5 Qualcomm
- 12.5.1 Qualcomm Company Information
- 12.5.2 Qualcomm Business Overview
- 12.5.3 Qualcomm Revenue in Rack-scale AI Solution for Datacenter Business (2021-2026)
- 12.5.4 Qualcomm Rack-scale AI Solution for Datacenter Product Portfolio
- 12.5.5 Qualcomm Recent Developments
- 12.6 Dell
- 12.6.1 Dell Company Information
- 12.6.2 Dell Business Overview
- 12.6.3 Dell Revenue in Rack-scale AI Solution for Datacenter Business (2021-2026)
- 12.6.4 Dell Rack-scale AI Solution for Datacenter Product Portfolio
- 12.6.5 Dell Recent Developments
- 12.7 GigaIO
- 12.7.1 GigaIO Company Information
- 12.7.2 GigaIO Business Overview
- 12.7.3 GigaIO Revenue in Rack-scale AI Solution for Datacenter Business (2021-2026)
- 12.7.4 GigaIO Rack-scale AI Solution for Datacenter Product Portfolio
- 12.7.5 GigaIO Recent Developments
- 12.8 Vertiv
- 12.8.1 Vertiv Company Information
- 12.8.2 Vertiv Business Overview
- 12.8.3 Vertiv Revenue in Rack-scale AI Solution for Datacenter Business (2021-2026)
- 12.8.4 Vertiv Rack-scale AI Solution for Datacenter Product Portfolio
- 12.8.5 Vertiv Recent Developments
- 12.9 Astera Labs
- 12.9.1 Astera Labs Company Information
- 12.9.2 Astera Labs Business Overview
- 12.9.3 Astera Labs Revenue in Rack-scale AI Solution for Datacenter Business (2021-2026)
- 12.9.4 Astera Labs Rack-scale AI Solution for Datacenter Product Portfolio
- 12.9.5 Astera Labs Recent Developments
- 12.10 Penguin Solutions
- 12.10.1 Penguin Solutions Company Information
- 12.10.2 Penguin Solutions Business Overview
- 12.10.3 Penguin Solutions Revenue in Rack-scale AI Solution for Datacenter Business (2021-2026)
- 12.10.4 Penguin Solutions Rack-scale AI Solution for Datacenter Product Portfolio
- 12.10.5 Penguin Solutions Recent Developments
- 12.11 HIPER Global
- 12.11.1 HIPER Global Company Information
- 12.11.2 HIPER Global Business Overview
- 12.11.3 HIPER Global Revenue in Rack-scale AI Solution for Datacenter Business (2021-2026)
- 12.11.4 HIPER Global Rack-scale AI Solution for Datacenter Product Portfolio
- 12.11.5 HIPER Global Recent Developments
- 12.12 SourceCode
- 12.12.1 SourceCode Company Information
- 12.12.2 SourceCode Business Overview
- 12.12.3 SourceCode Revenue in Rack-scale AI Solution for Datacenter Business (2021-2026)
- 12.12.4 SourceCode Rack-scale AI Solution for Datacenter Product Portfolio
- 12.12.5 SourceCode Recent Developments
- 12.13 GIGABYTE
- 12.13.1 GIGABYTE Company Information
- 12.13.2 GIGABYTE Business Overview
- 12.13.3 GIGABYTE Revenue in Rack-scale AI Solution for Datacenter Business (2021-2026)
- 12.13.4 GIGABYTE Rack-scale AI Solution for Datacenter Product Portfolio
- 12.13.5 GIGABYTE Recent Developments
13 Report Conclusion
14 Disclaimer
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