Selected research
Market Analysis & Forecast
Global AI Computing Power Rental Market Analysis and Forecast 2026-2032
Market perspective
The global AI Computing Power Rental market is projected to grow from US$ million in 2026 to US$ million by 2032, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The North America market for AI Computing Power Rental is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Europe market for AI Computing Power Rental is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Read the full market overview
Asia-Pacific market for AI Computing Power Rental is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The China market for AI Computing Power Rental is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The major global companies of AI Computing Power Rental include NVIDIA, Microsoft, Amazon, Google, Oracle, DUG, EB Tech (Hongbo Co.,ltd), Powerleader (Shenzhen Zqgame) and Jiangsu Lettall Electronic, etc. In 2025, the world's top three vendors accounted for approximately % of the revenue.
Report Includes
This report presents an overview of global market for AI Computing Power Rental, market size. Analyses of the global market trends, with historic market revenue data for 2021 - 2025, estimates for 2026, and projections of CAGR through 2032.
This report researches the key producers of AI Computing Power Rental, also provides the revenue of main regions and countries. Of the upcoming market potential for AI Computing Power Rental, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the AI Computing Power Rental revenue, market share and industry ranking of main manufacturers, data from 2021 to 2026. Identification of the major stakeholders in the global AI Computing Power Rental market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2021 to 2032. Evaluation and forecast the market size for AI Computing Power Rental revenue, projected growth trends, production technology, application and end-user industry.
AI Computing Power Rental Segment 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
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
Study Objectives
1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.
2. To present the key players, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
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 market size), 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: 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 2: 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 3: Revenue of AI Computing Power Rental in global and regional 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 capacity of each country in the world.
Chapter 4: Detailed analysis of AI Computing Power Rental company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI Computing Power Rental revenue, gross margin, and recent development, etc.
Chapter 8: North America by type, by application and by country, revenue for each segment.
Chapter 9: Europe by type, by application and by country, revenue for each segment.
Chapter 10: China type, by application, revenue for each segment.
Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.
Chapter 12: South America, Middle East and Africa by type, by application and by country, revenue for each segment.
Chapter 13: The main concluding insights 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 Market Overview
- 1.1 Product Definition
- 1.2 AI Computing Power Rental Market by Type
- 1.2.1 Global AI Computing Power Rental Market Size by Type, 2021 VS 2025 VS 2032
- 1.2.2 One-time Buyout
- 1.2.3 Retail
- 1.3 AI Computing Power Rental Market by Application
- 1.3.1 Global AI Computing Power Rental Market Size by Application, 2021 VS 2025 VS 2032
- 1.3.2 LLM Training
- 1.3.3 Cloud Service
- 1.3.4 Vertical Applications
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 AI Computing Power Rental Market Dynamics
- 2.1 AI Computing Power Rental Industry Trends
- 2.2 AI Computing Power Rental Industry Drivers
- 2.3 AI Computing Power Rental Industry Opportunities and Challenges
- 2.4 AI Computing Power Rental Industry Restraints
3 Global Growth Perspective
- 3.1 Global AI Computing Power Rental Market Perspective (2021-2032)
- 3.2 Global AI Computing Power Rental Growth Trends by Region
- 3.2.1 Global AI Computing Power Rental Market Size by Region: 2021 VS 2025 VS 2032
- 3.2.2 Global AI Computing Power Rental Market Size by Region (2021-2026)
- 3.2.3 Global AI Computing Power Rental Market Size by Region (2027-2032)
4 Competitive Landscape by Players
- 4.1 Global AI Computing Power Rental Revenue by Players
- 4.1.1 Global AI Computing Power Rental Revenue by Players (2021-2026)
- 4.1.2 Global AI Computing Power Rental Revenue Market Share by Players (2021-2026)
- 4.1.3 Global AI Computing Power Rental Players Revenue Share Top 10 and Top 5 in 2025
- 4.2 Global AI Computing Power Rental Key Players Ranking, 2024 VS 2025 VS 2026
- 4.3 Global AI Computing Power Rental Key Players Headquarters & Area Served
- 4.4 Global AI Computing Power Rental Players, Product Type & Application
- 4.5 Global AI Computing Power Rental Players Establishment Date
- 4.6 Market Competitive Analysis
- 4.6.1 Global AI Computing Power Rental Market CR5 and HHI
- 4.6.3 2025 AI Computing Power Rental Tier 1, Tier 2, and Tier 3
5 AI Computing Power Rental Market Size by Type
- 5.1 Global AI Computing Power Rental Revenue by Type (2021 VS 2025 VS 2032)
- 5.2 Global AI Computing Power Rental Revenue by Type (2021-2032)
- 5.3 Global AI Computing Power Rental Revenue Market Share by Type (2021-2032)
6 AI Computing Power Rental Market Size by Application
- 6.1 Global AI Computing Power Rental Revenue by Application (2021 VS 2025 VS 2032)
- 6.2 Global AI Computing Power Rental Revenue by Application (2021-2032)
- 6.3 Global AI Computing Power Rental Revenue Market Share by Application (2021-2032)
7 Company Profiles
- 7.1 NVIDIA
- 7.1.1 NVIDIA Company Information
- 7.1.2 NVIDIA Business Overview
- 7.1.3 NVIDIA AI Computing Power Rental Revenue and Gross Margin (2021-2026)
- 7.1.4 NVIDIA AI Computing Power Rental Product Portfolio
- 7.1.5 NVIDIA Recent Developments
- 7.2 Microsoft
- 7.2.1 Microsoft Company Information
- 7.2.2 Microsoft Business Overview
- 7.2.3 Microsoft AI Computing Power Rental Revenue and Gross Margin (2021-2026)
- 7.2.4 Microsoft AI Computing Power Rental Product Portfolio
- 7.2.5 Microsoft Recent Developments
- 7.3 Amazon
- 7.3.1 Amazon Company Information
- 7.3.2 Amazon Business Overview
- 7.3.3 Amazon AI Computing Power Rental Revenue and Gross Margin (2021-2026)
- 7.3.4 Amazon AI Computing Power Rental Product Portfolio
- 7.3.5 Amazon Recent Developments
- 7.4 Google
- 7.4.1 Google Company Information
- 7.4.2 Google Business Overview
- 7.4.3 Google AI Computing Power Rental Revenue and Gross Margin (2021-2026)
- 7.4.4 Google AI Computing Power Rental Product Portfolio
- 7.4.5 Google Recent Developments
- 7.5 Oracle
- 7.5.1 Oracle Company Information
- 7.5.2 Oracle Business Overview
- 7.5.3 Oracle AI Computing Power Rental Revenue and Gross Margin (2021-2026)
- 7.5.4 Oracle AI Computing Power Rental Product Portfolio
- 7.5.5 Oracle Recent Developments
- 7.6 DUG
- 7.6.1 DUG Company Information
- 7.6.2 DUG Business Overview
- 7.6.3 DUG AI Computing Power Rental Revenue and Gross Margin (2021-2026)
- 7.6.4 DUG AI Computing Power Rental Product Portfolio
- 7.6.5 DUG Recent Developments
- 7.7 EB Tech (Hongbo Co.,ltd)
- 7.7.1 EB Tech (Hongbo Co.,ltd) Company Information
- 7.7.2 EB Tech (Hongbo Co.,ltd) Business Overview
- 7.7.3 EB Tech (Hongbo Co.,ltd) AI Computing Power Rental Revenue and Gross Margin (2021-2026)
- 7.7.4 EB Tech (Hongbo Co.,ltd) AI Computing Power Rental Product Portfolio
- 7.7.5 EB Tech (Hongbo Co.,ltd) Recent Developments
- 7.8 Powerleader (Shenzhen Zqgame)
- 7.8.1 Powerleader (Shenzhen Zqgame) Company Information
- 7.8.2 Powerleader (Shenzhen Zqgame) Business Overview
- 7.8.3 Powerleader (Shenzhen Zqgame) AI Computing Power Rental Revenue and Gross Margin (2021-2026)
- 7.8.4 Powerleader (Shenzhen Zqgame) AI Computing Power Rental Product Portfolio
- 7.8.5 Powerleader (Shenzhen Zqgame) Recent Developments
- 7.9 Jiangsu Lettall Electronic
- 7.9.1 Jiangsu Lettall Electronic Company Information
- 7.9.2 Jiangsu Lettall Electronic Business Overview
- 7.9.3 Jiangsu Lettall Electronic AI Computing Power Rental Revenue and Gross Margin (2021-2026)
- 7.9.4 Jiangsu Lettall Electronic AI Computing Power Rental Product Portfolio
- 7.9.5 Jiangsu Lettall Electronic Recent Developments
- 7.10 INESA Intelligent Tech
- 7.10.1 INESA Intelligent Tech Company Information
- 7.10.2 INESA Intelligent Tech Business Overview
- 7.10.3 INESA Intelligent Tech AI Computing Power Rental Revenue and Gross Margin (2021-2026)
- 7.10.4 INESA Intelligent Tech AI Computing Power Rental Product Portfolio
- 7.10.5 INESA Intelligent Tech Recent Developments
- 7.11 China Bester Group Telecom
- 7.11.1 China Bester Group Telecom Company Information
- 7.11.2 China Bester Group Telecom Business Overview
- 7.11.3 China Bester Group Telecom AI Computing Power Rental Revenue and Gross Margin (2021-2026)
- 7.11.4 China Bester Group Telecom AI Computing Power Rental Product Portfolio
- 7.11.5 China Bester Group Telecom Recent Developments
- 7.12 Talkweb Information System
- 7.12.1 Talkweb Information System Company Information
- 7.12.2 Talkweb Information System Business Overview
- 7.12.3 Talkweb Information System AI Computing Power Rental Revenue and Gross Margin (2021-2026)
- 7.12.4 Talkweb Information System AI Computing Power Rental Product Portfolio
- 7.12.5 Talkweb Information System Recent Developments
- 7.13 QingCloud Technologies
- 7.13.1 QingCloud Technologies Company Information
- 7.13.2 QingCloud Technologies Business Overview
- 7.13.3 QingCloud Technologies AI Computing Power Rental Revenue and Gross Margin (2021-2026)
- 7.13.4 QingCloud Technologies AI Computing Power Rental Product Portfolio
- 7.13.5 QingCloud Technologies Recent Developments
- 7.14 GCL Energy Technology
- 7.14.1 GCL Energy Technology Company Information
- 7.14.2 GCL Energy Technology Business Overview
- 7.14.3 GCL Energy Technology AI Computing Power Rental Revenue and Gross Margin (2021-2026)
- 7.14.4 GCL Energy Technology AI Computing Power Rental Product Portfolio
- 7.14.5 GCL Energy Technology Recent Developments
- 7.15 Nova Technology
- 7.15.1 Nova Technology Company Information
- 7.15.2 Nova Technology Business Overview
- 7.15.3 Nova Technology AI Computing Power Rental Revenue and Gross Margin (2021-2026)
- 7.15.4 Nova Technology AI Computing Power Rental Product Portfolio
- 7.15.5 Nova Technology Recent Developments
- 7.16 Runjian
- 7.16.1 Runjian Company Information
- 7.16.2 Runjian Business Overview
- 7.16.3 Runjian AI Computing Power Rental Revenue and Gross Margin (2021-2026)
- 7.16.4 Runjian AI Computing Power Rental Product Portfolio
- 7.16.5 Runjian Recent Developments
8 North America
- 8.1 North America AI Computing Power Rental Revenue (2021-2032)
- 8.2 North America AI Computing Power Rental Revenue by Type (2021-2032)
- 8.2.1 North America AI Computing Power Rental Revenue by Type (2021-2026)
- 8.2.2 North America AI Computing Power Rental Revenue by Type (2027-2032)
- 8.3 North America AI Computing Power Rental Revenue Share by Type (2021-2032)
- 8.4 North America AI Computing Power Rental Revenue by Application (2021-2032)
- 8.4.1 North America AI Computing Power Rental Revenue by Application (2021-2026)
- 8.4.2 North America AI Computing Power Rental Revenue by Application (2027-2032)
- 8.5 North America AI Computing Power Rental Revenue Share by Application (2021-2032)
- 8.6 North America AI Computing Power Rental Revenue by Country
- 8.6.1 North America AI Computing Power Rental Revenue by Country (2021 VS 2025 VS 2032)
- 8.6.2 North America AI Computing Power Rental Revenue by Country (2021-2026)
- 8.6.3 North America AI Computing Power Rental Revenue by Country (2027-2032)
- 8.6.4 United States
- 8.6.5 Canada
- 8.6.6 Mexico
9 Europe
- 9.1 Europe AI Computing Power Rental Revenue (2021-2032)
- 9.2 Europe AI Computing Power Rental Revenue by Type (2021-2032)
- 9.2.1 Europe AI Computing Power Rental Revenue by Type (2021-2026)
- 9.2.2 Europe AI Computing Power Rental Revenue by Type (2027-2032)
- 9.3 Europe AI Computing Power Rental Revenue Share by Type (2021-2032)
- 9.4 Europe AI Computing Power Rental Revenue by Application (2021-2032)
- 9.4.1 Europe AI Computing Power Rental Revenue by Application (2021-2026)
- 9.4.2 Europe AI Computing Power Rental Revenue by Application (2027-2032)
- 9.5 Europe AI Computing Power Rental Revenue Share by Application (2021-2032)
- 9.6 Europe AI Computing Power Rental Revenue by Country
- 9.6.1 Europe AI Computing Power Rental Revenue by Country (2021 VS 2025 VS 2032)
- 9.6.2 Europe AI Computing Power Rental Revenue by Country (2021-2026)
- 9.6.3 Europe AI Computing Power Rental Revenue by Country (2027-2032)
- 9.6.4 Germany
- 9.6.5 France
- 9.6.6 U.K.
- 9.6.7 Italy
- 9.6.8 Russia
- 9.6.9 Spain
- 9.6.10 Netherlands
- 9.6.11 Switzerland
- 9.6.12 Sweden
- 9.6.13 Poland
10 China
- 10.1 China AI Computing Power Rental Revenue (2021-2032)
- 10.2 China AI Computing Power Rental Revenue by Type (2021-2032)
- 10.2.1 China AI Computing Power Rental Revenue by Type (2021-2026)
- 10.2.2 China AI Computing Power Rental Revenue by Type (2027-2032)
- 10.3 China AI Computing Power Rental Revenue Share by Type (2021-2032)
- 10.4 China AI Computing Power Rental Revenue by Application (2021-2032)
- 10.4.1 China AI Computing Power Rental Revenue by Application (2021-2026)
- 10.4.2 China AI Computing Power Rental Revenue by Application (2027-2032)
- 10.5 China AI Computing Power Rental Revenue Share by Application (2021-2032)
11 Asia (Excluding China)
- 11.1 Asia AI Computing Power Rental Revenue (2021-2032)
- 11.2 Asia AI Computing Power Rental Revenue by Type (2021-2032)
- 11.2.1 Asia AI Computing Power Rental Revenue by Type (2021-2026)
- 11.2.2 Asia AI Computing Power Rental Revenue by Type (2027-2032)
- 11.3 Asia AI Computing Power Rental Revenue Share by Type (2021-2032)
- 11.4 Asia AI Computing Power Rental Revenue by Application (2021-2032)
- 11.4.1 Asia AI Computing Power Rental Revenue by Application (2021-2026)
- 11.4.2 Asia AI Computing Power Rental Revenue by Application (2027-2032)
- 11.5 Asia AI Computing Power Rental Revenue Share by Application (2021-2032)
- 11.6 Asia AI Computing Power Rental Revenue by Country
- 11.6.1 Asia AI Computing Power Rental Revenue by Country (2021 VS 2025 VS 2032)
- 11.6.2 Asia AI Computing Power Rental Revenue by Country (2021-2026)
- 11.6.3 Asia AI Computing Power Rental Revenue by Country (2027-2032)
- 11.6.4 Japan
- 11.6.5 South Korea
- 11.6.6 India
- 11.6.7 Australia
- 11.6.8 Taiwan
- 11.6.9 Southeast Asia
12 South America, Middle East and Africa
- 12.1 SAMEA AI Computing Power Rental Revenue (2021-2032)
- 12.2 SAMEA AI Computing Power Rental Revenue by Type (2021-2032)
- 12.2.1 SAMEA AI Computing Power Rental Revenue by Type (2021-2026)
- 12.2.2 SAMEA AI Computing Power Rental Revenue by Type (2027-2032)
- 12.3 SAMEA AI Computing Power Rental Revenue Share by Type (2021-2032)
- 12.4 SAMEA AI Computing Power Rental Revenue by Application (2021-2032)
- 12.4.1 SAMEA AI Computing Power Rental Revenue by Application (2021-2026)
- 12.4.2 SAMEA AI Computing Power Rental Revenue by Application (2027-2032)
- 12.5 SAMEA AI Computing Power Rental Revenue Share by Application (2021-2032)
- 12.6 SAMEA AI Computing Power Rental Revenue by Country
- 12.6.1 SAMEA AI Computing Power Rental Revenue by Country (2021 VS 2025 VS 2032)
- 12.6.2 SAMEA AI Computing Power Rental Revenue by Country (2021-2026)
- 12.6.3 SAMEA AI Computing Power Rental Revenue by Country (2027-2032)
- 12.6.4 Brazil
- 12.6.5 Argentina
- 12.6.6 Chile
- 12.6.7 Colombia
- 12.6.8 Peru
- 12.6.9 Saudi Arabia
- 12.6.10 Israel
- 12.6.11 UAE
- 12.6.12 Turkey
- 12.6.13 Iran
- 12.6.14 Egypt
13 Concluding Insights
14 Appendix
- 14.1 Reasons for Doing This Study
- 14.2 Research Methodology
- 14.3 Research Process
- 14.4 Authors List of This Report
- 14.5 Data Source
- 14.5.1 Secondary Sources
- 14.5.2 Primary Sources
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