Selected research
Industry Growth & Trends
Global AI Computing Power Rental Industry Growth and Trends Forecast to 2032
Market perspective
According to APO Research, the global AI Computing Power Rental market was valued at US$ million in 2026 and is projected to reach US$ million by 2032, implying a CAGR of xx% over 2026-2032.
The North America market for AI Computing Power Rental is projected to increase from US$ million in 2026 to US$ million by 2032, corresponding to a CAGR of % over 2026-2032.
The Europe market for AI Computing Power Rental is projected to increase 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 AI Computing Power Rental is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
Leading global companies in the AI Computing Power Rental market 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
This report provides a structured, data-driven view of the global AI Computing Power Rental market, combining harmonized quantitative metrics with targeted qualitative insight to support business and growth strategy, market positioning, and capital allocation.
The AI Computing Power Rental market size, estimates, and forecasts are presented in terms of revenue (US$ million), with 2025 as the base year and historical and forecast data for 2021-2032. The report segments the global AI Computing Power Rental market by Type, Application, region/country, and company, provides regional market sizes at the segment level, profiles the competitive landscape and key players and their market ranks, and reviews technology trends and new product developments relevant to AI Computing Power Rental.
Key Companies & Market Share Insights
This section analyzes the strategies and performance of leading companies in the global AI Computing Power Rental market, including portfolio focus, innovation and product development, mergers and acquisitions, collaborations, and geographic expansion used to sustain or enhance competitive positions. It also summarizes recent corporate developments and key financial indicators and provides global revenue and gross margin data by manufacturer for 2021-2026, enabling benchmarking of scale, profitability, and market share and supporting assessment of market concentration through indicators such as CR5 and CR10.
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
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 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 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: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2021-2025, 2026-2031). 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: 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 3: 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 4: 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 5: Detailed analysis of AI Computing Power Rental companies' competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 6: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter 7, 8, 9, 10 and 11: North America, Europe, Asia Pacific, South America, Middle East & Africa, revenue by country.
Chapter 12: 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 Global Market Growth Prospects
- 1.3 Global AI Computing Power Rental Market Size Overview by Region 2021 VS 2025 VS 2032
- 1.4 Global AI Computing Power Rental Market Size by Region (2021-2032)
- 1.4.1 Global AI Computing Power Rental Market Size by Region (2021-2026)
- 1.4.2 Global AI Computing Power Rental Market Size by Region (2027-2032)
- 1.5 Key Regions AI Computing Power Rental Market Size (2021-2032)
- 1.5.1 North America AI Computing Power Rental Market Size Growth Rate (2021-2032)
- 1.5.2 Europe AI Computing Power Rental Market Size Growth Rate (2021-2032)
- 1.5.3 Asia-Pacific AI Computing Power Rental Market Size Growth Rate (2021-2032)
- 1.5.4 South America AI Computing Power Rental Market Size Growth Rate (2021-2032)
- 1.5.5 Middle East & Africa AI Computing Power Rental Market Size Growth Rate (2021-2032)
2 AI Computing Power Rental Market by Type
- 2.1 Type Introduction
- 2.1.1 One-time Buyout
- 2.1.2 Retail
- 2.2 Global AI Computing Power Rental Market Size by Type
- 2.2.1 Global AI Computing Power Rental Market Size Overview by Type (2021-2032)
- 2.2.2 Global AI Computing Power Rental Historic Market Size Review by Type (2021-2026)
- 2.2.3 Global AI Computing Power Rental Market Size Forecasted by Type (2027-2032)
- 2.3 Global AI Computing Power Rental Market Size by Regions
- 2.3.1 North America AI Computing Power Rental Market Size Breakdown by Type (2021-2026)
- 2.3.2 Europe AI Computing Power Rental Market Size Breakdown by Type (2021-2026)
- 2.3.3 Asia-Pacific AI Computing Power Rental Market Size Breakdown by Type (2021-2026)
- 2.3.4 South America AI Computing Power Rental Market Size Breakdown by Type (2021-2026)
- 2.3.5 Middle East and Africa AI Computing Power Rental Market Size Breakdown by Type (2021-2026)
3 AI Computing Power Rental Market by Application
- 3.1 Type Introduction
- 3.1.1 LLM Training
- 3.1.2 Cloud Service
- 3.1.3 Vertical Applications
- 3.2 Global AI Computing Power Rental Market Size by Application
- 3.2.1 Global AI Computing Power Rental Market Size Overview by Application (2021-2032)
- 3.2.2 Global AI Computing Power Rental Historic Market Size Review by Application (2021-2026)
- 3.2.3 Global AI Computing Power Rental Market Size Forecasted by Application (2027-2032)
- 3.3 Global AI Computing Power Rental Market Size by Regions
- 3.3.1 North America AI Computing Power Rental Market Size Breakdown by Application (2021-2026)
- 3.3.2 Europe AI Computing Power Rental Market Size Breakdown by Application (2021-2026)
- 3.3.3 Asia-Pacific AI Computing Power Rental Market Size Breakdown by Application (2021-2026)
- 3.3.4 South America AI Computing Power Rental Market Size Breakdown by Application (2021-2026)
- 3.3.5 Middle East and Africa AI Computing Power Rental Market Size Breakdown by Application (2021-2026)
4 Global Market Dynamics
- 4.1 AI Computing Power Rental Industry Trends
- 4.2 AI Computing Power Rental Industry Drivers
- 4.3 AI Computing Power Rental Industry Opportunities and Challenges
- 4.4 AI Computing Power Rental Industry Restraints
5 Competitive Insights by Company
- 5.1 Global Top Players by AI Computing Power Rental Revenue (2021-2026)
- 5.2 Global AI Computing Power Rental Industry Company Ranking, 2024 VS 2025 VS 2026
- 5.3 Global AI Computing Power Rental Key Company Headquarters & Area Served
- 5.4 Global AI Computing Power Rental Company, Product Type & Application
- 5.5 Global AI Computing Power Rental Company Commercialization Time
- 5.6 Market Competitive Analysis
- 5.6.1 Global AI Computing Power Rental Market CR5 and HHI
- 5.6.2 Global Top 5 and 10 AI Computing Power Rental Players Market Share by Revenue in 2025
- 5.6.3 2025 AI Computing Power Rental Tier 1, Tier 2, and Tier 3
6 Company Profiles
- 6.1 NVIDIA
- 6.1.1 NVIDIA Company Information
- 6.1.2 NVIDIA Business Overview
- 6.1.3 NVIDIA AI Computing Power Rental Revenue, Global Share and Gross Margin (2021-2026)
- 6.1.4 NVIDIA AI Computing Power Rental Product Portfolio
- 6.1.5 NVIDIA Recent Developments
- 6.2 Microsoft
- 6.2.1 Microsoft Company Information
- 6.2.2 Microsoft Business Overview
- 6.2.3 Microsoft AI Computing Power Rental Revenue, Global Share and Gross Margin (2021-2026)
- 6.2.4 Microsoft AI Computing Power Rental Product Portfolio
- 6.2.5 Microsoft Recent Developments
- 6.3 Amazon
- 6.3.1 Amazon Company Information
- 6.3.2 Amazon Business Overview
- 6.3.3 Amazon AI Computing Power Rental Revenue, Global Share and Gross Margin (2021-2026)
- 6.3.4 Amazon AI Computing Power Rental Product Portfolio
- 6.3.5 Amazon Recent Developments
- 6.4 Google
- 6.4.1 Google Company Information
- 6.4.2 Google Business Overview
- 6.4.3 Google AI Computing Power Rental Revenue, Global Share and Gross Margin (2021-2026)
- 6.4.4 Google AI Computing Power Rental Product Portfolio
- 6.4.5 Google Recent Developments
- 6.5 Oracle
- 6.5.1 Oracle Company Information
- 6.5.2 Oracle Business Overview
- 6.5.3 Oracle AI Computing Power Rental Revenue, Global Share and Gross Margin (2021-2026)
- 6.5.4 Oracle AI Computing Power Rental Product Portfolio
- 6.5.5 Oracle Recent Developments
- 6.6 DUG
- 6.6.1 DUG Company Information
- 6.6.2 DUG Business Overview
- 6.6.3 DUG AI Computing Power Rental Revenue, Global Share and Gross Margin (2021-2026)
- 6.6.4 DUG AI Computing Power Rental Product Portfolio
- 6.6.5 DUG Recent Developments
- 6.7 EB Tech (Hongbo Co.,ltd)
- 6.7.1 EB Tech (Hongbo Co.,ltd) Company Information
- 6.7.2 EB Tech (Hongbo Co.,ltd) Business Overview
- 6.7.3 EB Tech (Hongbo Co.,ltd) AI Computing Power Rental Revenue, Global Share and Gross Margin (2021-2026)
- 6.7.4 EB Tech (Hongbo Co.,ltd) AI Computing Power Rental Product Portfolio
- 6.7.5 EB Tech (Hongbo Co.,ltd) Recent Developments
- 6.8 Powerleader (Shenzhen Zqgame)
- 6.8.1 Powerleader (Shenzhen Zqgame) Company Information
- 6.8.2 Powerleader (Shenzhen Zqgame) Business Overview
- 6.8.3 Powerleader (Shenzhen Zqgame) AI Computing Power Rental Revenue, Global Share and Gross Margin (2021-2026)
- 6.8.4 Powerleader (Shenzhen Zqgame) AI Computing Power Rental Product Portfolio
- 6.8.5 Powerleader (Shenzhen Zqgame) Recent Developments
- 6.9 Jiangsu Lettall Electronic
- 6.9.1 Jiangsu Lettall Electronic Company Information
- 6.9.2 Jiangsu Lettall Electronic Business Overview
- 6.9.3 Jiangsu Lettall Electronic AI Computing Power Rental Revenue, Global Share and Gross Margin (2021-2026)
- 6.9.4 Jiangsu Lettall Electronic AI Computing Power Rental Product Portfolio
- 6.9.5 Jiangsu Lettall Electronic Recent Developments
- 6.10 INESA Intelligent Tech
- 6.10.1 INESA Intelligent Tech Company Information
- 6.10.2 INESA Intelligent Tech Business Overview
- 6.10.3 INESA Intelligent Tech AI Computing Power Rental Revenue, Global Share and Gross Margin (2021-2026)
- 6.10.4 INESA Intelligent Tech AI Computing Power Rental Product Portfolio
- 6.10.5 INESA Intelligent Tech Recent Developments
- 6.11 China Bester Group Telecom
- 6.11.1 China Bester Group Telecom Company Information
- 6.11.2 China Bester Group Telecom Business Overview
- 6.11.3 China Bester Group Telecom AI Computing Power Rental Revenue, Global Share and Gross Margin (2021-2026)
- 6.11.4 China Bester Group Telecom AI Computing Power Rental Product Portfolio
- 6.11.5 China Bester Group Telecom Recent Developments
- 6.12 Talkweb Information System
- 6.12.1 Talkweb Information System Company Information
- 6.12.2 Talkweb Information System Business Overview
- 6.12.3 Talkweb Information System AI Computing Power Rental Revenue, Global Share and Gross Margin (2021-2026)
- 6.12.4 Talkweb Information System AI Computing Power Rental Product Portfolio
- 6.12.5 Talkweb Information System Recent Developments
- 6.13 QingCloud Technologies
- 6.13.1 QingCloud Technologies Company Information
- 6.13.2 QingCloud Technologies Business Overview
- 6.13.3 QingCloud Technologies AI Computing Power Rental Revenue, Global Share and Gross Margin (2021-2026)
- 6.13.4 QingCloud Technologies AI Computing Power Rental Product Portfolio
- 6.13.5 QingCloud Technologies Recent Developments
- 6.14 GCL Energy Technology
- 6.14.1 GCL Energy Technology Company Information
- 6.14.2 GCL Energy Technology Business Overview
- 6.14.3 GCL Energy Technology AI Computing Power Rental Revenue, Global Share and Gross Margin (2021-2026)
- 6.14.4 GCL Energy Technology AI Computing Power Rental Product Portfolio
- 6.14.5 GCL Energy Technology Recent Developments
- 6.15 Nova Technology
- 6.15.1 Nova Technology Company Information
- 6.15.2 Nova Technology Business Overview
- 6.15.3 Nova Technology AI Computing Power Rental Revenue, Global Share and Gross Margin (2021-2026)
- 6.15.4 Nova Technology AI Computing Power Rental Product Portfolio
- 6.15.5 Nova Technology Recent Developments
- 6.16 Runjian
- 6.16.1 Runjian Company Information
- 6.16.2 Runjian Business Overview
- 6.16.3 Runjian AI Computing Power Rental Revenue, Global Share and Gross Margin (2021-2026)
- 6.16.4 Runjian AI Computing Power Rental Product Portfolio
- 6.16.5 Runjian Recent Developments
7 North America
- 7.1 North America AI Computing Power Rental Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 7.2 North America AI Computing Power Rental Market Size by Country (2021-2026)
- 7.3 North America AI Computing Power Rental Market Size Forecast by Country (2027-2032)
8 Europe
- 8.1 Europe AI Computing Power Rental Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 8.2 Europe AI Computing Power Rental Market Size by Country (2021-2026)
- 8.3 Europe AI Computing Power Rental Market Size Forecast by Country (2027-2032)
9 Asia-Pacific
- 9.1 Asia-Pacific AI Computing Power Rental Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 9.2 Asia-Pacific AI Computing Power Rental Market Size by Country (2021-2026)
- 9.3 Asia-Pacific AI Computing Power Rental Market Size Forecast by Country (2027-2032)
10 South America
- 10.1 South America AI Computing Power Rental Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 10.2 South America AI Computing Power Rental Market Size by Country (2021-2026)
- 10.3 South America AI Computing Power Rental Market Size Forecast by Country (2027-2032)
11 Middle East & Africa
- 11.1 Middle East & Africa AI Computing Power Rental Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 11.2 Middle East & Africa AI Computing Power Rental Market Size by Country (2021-2026)
- 11.3 Middle East & Africa AI Computing Power Rental Market Size Forecast by Country (2027-2032)
12 Concluding Insights
13 Appendix
- 13.1 Reasons for Doing This Study
- 13.2 Research Methodology
- 13.3 Research Process
- 13.4 Authors List of This Report
- 13.5 Data Source
- 13.5.1 Secondary Sources
- 13.5.2 Primary Sources
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