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Industry Research
AI Computing Power Rental Industry Research Report 2026
Market perspective
The global AI Computing Power Rental 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 AI Computing Power Rental market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the AI Computing Power Rental 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 AI Computing Power Rental 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 AI Computing Power Rental include NVIDIA, Microsoft, Amazon, Google, Oracle, DUG, EB Tech (Hongbo Co.,ltd), Powerleader (Shenzhen Zqgame) and Jiangsu Lettall Electronic, 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 AI Computing Power Rental 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 AI Computing Power Rental.
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.
AI Computing Power Rental Market by Company
NVIDIA
Microsoft
Amazon
Oracle
DUG
EB Tech (Hongbo Co.,ltd)
Powerleader (Shenzhen Zqgame)
Jiangsu Lettall Electronic
INESA Intelligent Tech
China Bester Group Telecom
Talkweb Information System
QingCloud Technologies
GCL Energy Technology
Nova Technology
Runjian
AI Computing Power Rental Segment by Type
One-time Buyout
Retail
AI Computing Power Rental Segment by Application
LLM Training
Cloud Service
Vertical Applications
AI Computing Power Rental 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
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 AI Computing Power Rental 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 AI Computing Power Rental 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 AI Computing Power Rental.
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 AI Computing Power Rental 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
- One-time Buyout
- Retail
Applications
- LLM Training
- Cloud Service
- Vertical Applications
Companies covered
- NVIDIA
- Microsoft
- Amazon
- Oracle
- DUG
- EB Tech (Hongbo Co.,ltd)
- Powerleader (Shenzhen Zqgame)
- Jiangsu Lettall Electronic
- INESA Intelligent Tech
- China Bester Group Telecom
- Talkweb Information System
- QingCloud Technologies
- GCL Energy Technology
- Nova Technology
- Runjian
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 AI Computing Power Rental by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 One-time Buyout
- 2.2.3 Retail
- 2.3 AI Computing Power Rental by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 LLM Training
- 2.3.3 Cloud Service
- 2.3.4 Vertical Applications
- 2.4 Assumptions and Limitations
3 AI Computing Power Rental Breakdown Data by Type
- 3.1 Global AI Computing Power Rental Historic Market Size by Type (2021-2026)
- 3.2 Global AI Computing Power Rental Forecasted Market Size by Type (2027-2032)
4 AI Computing Power Rental Breakdown Data by Application
- 4.1 Global AI Computing Power Rental Historic Market Size by Application (2021-2026)
- 4.2 Global AI Computing Power Rental Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global AI Computing Power Rental Market Perspective (2021-2032)
- 5.2 Global AI Computing Power Rental Growth Trends by Region
- 5.2.1 Global AI Computing Power Rental Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 AI Computing Power Rental Historic Market Size by Region (2021-2026)
- 5.2.3 AI Computing Power Rental Forecasted Market Size by Region (2027-2032)
- 5.3 AI Computing Power Rental Market Dynamics
- 5.3.1 AI Computing Power Rental Industry Trends
- 5.3.2 AI Computing Power Rental Market Drivers
- 5.3.3 AI Computing Power Rental Market Challenges
- 5.3.4 AI Computing Power Rental Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top AI Computing Power Rental Players by Revenue
- 6.1.1 Global Top AI Computing Power Rental Players by Revenue (2021-2026)
- 6.1.2 Global AI Computing Power Rental Revenue Market Share by Players (2021-2026)
- 6.2 Global AI Computing Power Rental Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of AI Computing Power Rental Head Office and Area Served
- 6.4 Global AI Computing Power Rental Players, Product Type & Application
- 6.5 Global AI Computing Power Rental Manufacturers Established Date
- 6.6 Global AI Computing Power Rental Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America AI Computing Power Rental Market Size (2021-2032)
- 7.2 North America AI Computing Power Rental Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America AI Computing Power Rental Market Size by Country (2021-2026)
- 7.4 North America AI Computing Power Rental 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 AI Computing Power Rental Market Size (2021-2032)
- 8.2 Europe AI Computing Power Rental Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe AI Computing Power Rental Market Size by Country (2021-2026)
- 8.4 Europe AI Computing Power Rental 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 AI Computing Power Rental Market Size (2021-2032)
- 9.2 Asia-Pacific AI Computing Power Rental Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific AI Computing Power Rental Market Size by Country (2021-2026)
- 9.4 Asia-Pacific AI Computing Power Rental 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 AI Computing Power Rental Market Size (2021-2032)
- 10.2 South America AI Computing Power Rental Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America AI Computing Power Rental Market Size by Country (2021-2026)
- 10.4 South America AI Computing Power Rental 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 AI Computing Power Rental Market Size (2021-2032)
- 11.2 Middle East & Africa AI Computing Power Rental Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa AI Computing Power Rental Market Size by Country (2021-2026)
- 11.4 Middle East & Africa AI Computing Power Rental 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 NVIDIA
- 12.1.1 NVIDIA Company Information
- 12.1.2 NVIDIA Business Overview
- 12.1.3 NVIDIA Revenue in AI Computing Power Rental Business (2021-2026)
- 12.1.4 NVIDIA AI Computing Power Rental Product Portfolio
- 12.1.5 NVIDIA Recent Developments
- 12.2 Microsoft
- 12.2.1 Microsoft Company Information
- 12.2.2 Microsoft Business Overview
- 12.2.3 Microsoft Revenue in AI Computing Power Rental Business (2021-2026)
- 12.2.4 Microsoft AI Computing Power Rental Product Portfolio
- 12.2.5 Microsoft Recent Developments
- 12.3 Amazon
- 12.3.1 Amazon Company Information
- 12.3.2 Amazon Business Overview
- 12.3.3 Amazon Revenue in AI Computing Power Rental Business (2021-2026)
- 12.3.4 Amazon AI Computing Power Rental Product Portfolio
- 12.3.5 Amazon Recent Developments
- 12.4 Google
- 12.4.1 Google Company Information
- 12.4.2 Google Business Overview
- 12.4.3 Google Revenue in AI Computing Power Rental Business (2021-2026)
- 12.4.4 Google AI Computing Power Rental Product Portfolio
- 12.4.5 Google Recent Developments
- 12.5 Oracle
- 12.5.1 Oracle Company Information
- 12.5.2 Oracle Business Overview
- 12.5.3 Oracle Revenue in AI Computing Power Rental Business (2021-2026)
- 12.5.4 Oracle AI Computing Power Rental Product Portfolio
- 12.5.5 Oracle Recent Developments
- 12.6 DUG
- 12.6.1 DUG Company Information
- 12.6.2 DUG Business Overview
- 12.6.3 DUG Revenue in AI Computing Power Rental Business (2021-2026)
- 12.6.4 DUG AI Computing Power Rental Product Portfolio
- 12.6.5 DUG Recent Developments
- 12.7 EB Tech (Hongbo Co.,ltd)
- 12.7.1 EB Tech (Hongbo Co.,ltd) Company Information
- 12.7.2 EB Tech (Hongbo Co.,ltd) Business Overview
- 12.7.3 EB Tech (Hongbo Co.,ltd) Revenue in AI Computing Power Rental Business (2021-2026)
- 12.7.4 EB Tech (Hongbo Co.,ltd) AI Computing Power Rental Product Portfolio
- 12.7.5 EB Tech (Hongbo Co.,ltd) Recent Developments
- 12.8 Powerleader (Shenzhen Zqgame)
- 12.8.1 Powerleader (Shenzhen Zqgame) Company Information
- 12.8.2 Powerleader (Shenzhen Zqgame) Business Overview
- 12.8.3 Powerleader (Shenzhen Zqgame) Revenue in AI Computing Power Rental Business (2021-2026)
- 12.8.4 Powerleader (Shenzhen Zqgame) AI Computing Power Rental Product Portfolio
- 12.8.5 Powerleader (Shenzhen Zqgame) Recent Developments
- 12.9 Jiangsu Lettall Electronic
- 12.9.1 Jiangsu Lettall Electronic Company Information
- 12.9.2 Jiangsu Lettall Electronic Business Overview
- 12.9.3 Jiangsu Lettall Electronic Revenue in AI Computing Power Rental Business (2021-2026)
- 12.9.4 Jiangsu Lettall Electronic AI Computing Power Rental Product Portfolio
- 12.9.5 Jiangsu Lettall Electronic Recent Developments
- 12.10 INESA Intelligent Tech
- 12.10.1 INESA Intelligent Tech Company Information
- 12.10.2 INESA Intelligent Tech Business Overview
- 12.10.3 INESA Intelligent Tech Revenue in AI Computing Power Rental Business (2021-2026)
- 12.10.4 INESA Intelligent Tech AI Computing Power Rental Product Portfolio
- 12.10.5 INESA Intelligent Tech Recent Developments
- 12.11 China Bester Group Telecom
- 12.11.1 China Bester Group Telecom Company Information
- 12.11.2 China Bester Group Telecom Business Overview
- 12.11.3 China Bester Group Telecom Revenue in AI Computing Power Rental Business (2021-2026)
- 12.11.4 China Bester Group Telecom AI Computing Power Rental Product Portfolio
- 12.11.5 China Bester Group Telecom Recent Developments
- 12.12 Talkweb Information System
- 12.12.1 Talkweb Information System Company Information
- 12.12.2 Talkweb Information System Business Overview
- 12.12.3 Talkweb Information System Revenue in AI Computing Power Rental Business (2021-2026)
- 12.12.4 Talkweb Information System AI Computing Power Rental Product Portfolio
- 12.12.5 Talkweb Information System Recent Developments
- 12.13 QingCloud Technologies
- 12.13.1 QingCloud Technologies Company Information
- 12.13.2 QingCloud Technologies Business Overview
- 12.13.3 QingCloud Technologies Revenue in AI Computing Power Rental Business (2021-2026)
- 12.13.4 QingCloud Technologies AI Computing Power Rental Product Portfolio
- 12.13.5 QingCloud Technologies Recent Developments
- 12.14 GCL Energy Technology
- 12.14.1 GCL Energy Technology Company Information
- 12.14.2 GCL Energy Technology Business Overview
- 12.14.3 GCL Energy Technology Revenue in AI Computing Power Rental Business (2021-2026)
- 12.14.4 GCL Energy Technology AI Computing Power Rental Product Portfolio
- 12.14.5 GCL Energy Technology Recent Developments
- 12.15 Nova Technology
- 12.15.1 Nova Technology Company Information
- 12.15.2 Nova Technology Business Overview
- 12.15.3 Nova Technology Revenue in AI Computing Power Rental Business (2021-2026)
- 12.15.4 Nova Technology AI Computing Power Rental Product Portfolio
- 12.15.5 Nova Technology Recent Developments
- 12.16 Runjian
- 12.16.1 Runjian Company Information
- 12.16.2 Runjian Business Overview
- 12.16.3 Runjian Revenue in AI Computing Power Rental Business (2021-2026)
- 12.16.4 Runjian AI Computing Power Rental Product Portfolio
- 12.16.5 Runjian Recent Developments
13 Report Conclusion
14 Disclaimer
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