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Description
The global market for Computing Power Leasing Platform was estimated to be worth US$ 1225 million in 2024 and is forecast to a readjusted size of US$ 1641 million by 2031 with a CAGR of 3.6% during the forecast period 2025-2031.
Computing Power Leasing Platform is a digital service model where users lease computing resources (CPU, GPU, storage, or cloud-based clusters) from providers instead of owning physical infrastructure. These platforms supply on-demand or subscription-based computing resources for AI training, big data analytics, scientific research, rendering, blockchain, and other high-performance computing (HPC) tasks. They help reduce upfront capital expenditure and improve flexibility, scalability, and efficiency.
Computing Power Leasing Platform Market Size(US$)
M= millions and B=billions

Market Average Gross Profit Margin: 25%–32%, since margins are influenced by infrastructure costs, energy consumption, and differentiation between centralized hyperscalers and decentralized platforms.
The computing power leasing platform market has emerged as a fast-growing segment within the broader digital economy, fueled by demand for scalable, on-demand computational resources. At its core, these platforms allow enterprises, developers, and individuals to lease computing power without investing in costly infrastructure, serving use cases such as AI model training, big data analytics, blockchain mining, rendering, and high-performance simulations. The market has gained traction as organizations seek flexibility and cost efficiency, with platforms offering pay-as-you-go or subscription-based models. Development has been accelerated by advances in cloud computing, virtualization, and distributed resource management, which make it possible to pool and monetize idle or underutilized computing capacity. Platforms vary from centralized providers with large-scale data centers to decentralized marketplaces that allow users to rent and lend computing power peer-to-peer. The rising adoption of artificial intelligence and machine learning has further driven growth, as these applications require high-performance GPUs and CPUs that are often prohibitively expensive to own outright. Overall, the market is shifting from niche use cases toward mainstream adoption, positioning computing power leasing as a key enabler of digital transformation across industries.
From a regional perspective, North America leads the market due to its concentration of cloud service providers, hyperscale data centers, and AI-driven enterprises that demand massive computing resources. The United States, in particular, hosts the largest number of platform providers, supported by robust venture capital funding and established tech ecosystems. Europe is also a strong market, propelled by data sovereignty requirements, GDPR compliance, and the need for scalable infrastructure for financial services, healthcare, and research. Germany, the UK, and France are leading adopters, while Nordic countries are leveraging renewable energy to host sustainable data centers. Asia-Pacific is the fastest-growing region, driven by rapid digitalization in China, Japan, South Korea, and India, where both consumer and industrial demand for computing power are expanding. China stands out with strong government support for AI and blockchain applications, while India’s startup ecosystem increasingly relies on rented cloud computing to scale. Emerging regions such as the Middle East, Africa, and Latin America are beginning to adopt computing power leasing platforms as digital infrastructure investments increase, though challenges remain in bandwidth, affordability, and regulatory frameworks.
In terms of trends, the market is increasingly shaped by the rise of decentralized and blockchain-enabled platforms that allow peer-to-peer computing power exchanges. This contrasts with the centralized model dominated by cloud hyperscalers, offering users more choice and potentially lower costs. Another trend is the growing specialization of platforms — some focus exclusively on GPU leasing for AI training, while others emphasize CPU-intensive tasks or hybrid solutions. The integration of AI into platform management is becoming common, with algorithms dynamically allocating resources to optimize performance and costs. Subscription and marketplace models are diversifying, with some platforms offering tiered packages for different industries or workloads. Edge computing is also influencing the market, as platforms experiment with distributing workloads closer to end-users to reduce latency. Sustainability remains a defining theme, with many platforms marketing carbon-neutral or energy-efficient infrastructure as a differentiator. Partnerships between leasing platforms and industry-specific solution providers are increasing, signaling a move toward verticalized offerings tailored to healthcare, finance, gaming, and creative industries.
This report aims to provide a comprehensive presentation of the global market for Computing Power Leasing Platform, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Computing Power Leasing Platform by region & country, by Type, and by Application.
The Computing Power Leasing Platform market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Computing Power Leasing Platform.
Market Segmentation
Report Metric
Details
Report Title
Computing Power Leasing Platform - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031
Forecasted Market Size in 2031
US$ 1641 million
CAGR(2025-2031)
3.6%
Market Size Available for Years
2025-2031
Global Computing Power Leasing Platform Companies Covered
Paperspace
Amazon Web Services (AWS)
IBM
Salad
Jiyun Cloud
Lettall Electronic
Beijing Ebtech
OneThing
SuanLix Cloud AnyGPU
Tencent Cloud CVM
AutoDL
AI Galaxy
OpenBayes
Featurize
Global Computing Power Leasing Platform Market, by Region
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Computing Power Leasing Platform Market, Segment by Type
Enterprise Level
Personal Version
Global Computing Power Leasing Platform Market, Segment by Application
Students and Researchers
Game and Film Companies
AI Companies
Others
Product Category
Centralized Cloud-Based Platforms
Blockchain-Based Platforms
Forecast Units
Million USD
Report Coverage
Revenue and volume forecast, company share, competitive landscape, growth factors and trends
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides 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 2: Detailed analysis of Computing Power Leasing Platform company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Computing Power Leasing Platform in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Computing Power Leasing Platform in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
Table of Contents
1 Market Overview
1.1 Computing Power Leasing Platform Product Introduction
1.2 Global Computing Power Leasing Platform Market Size Forecast (2020-2031)
1.3 Computing Power Leasing Platform Market Trends & Drivers
1.3.1 Computing Power Leasing Platform Industry Trends
1.3.2 Computing Power Leasing Platform Market Drivers & Opportunity
1.3.3 Computing Power Leasing Platform Market Challenges
1.3.4 Computing Power Leasing Platform Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Computing Power Leasing Platform Players Revenue Ranking (2024)
2.2 Global Computing Power Leasing Platform Revenue by Company (2020-2025)
2.3 Key Companies Computing Power Leasing Platform Manufacturing Base Distribution and Headquarters
2.4 Key Companies Computing Power Leasing Platform Product Offered
2.5 Key Companies Time to Begin Mass Production of Computing Power Leasing Platform
2.6 Computing Power Leasing Platform Market Competitive Analysis
2.6.1 Computing Power Leasing Platform Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by Computing Power Leasing Platform Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Computing Power Leasing Platform as of 2024)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Enterprise Level
3.1.2 Personal Version
3.2 Global Computing Power Leasing Platform Sales Value by Type
3.2.1 Global Computing Power Leasing Platform Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global Computing Power Leasing Platform Sales Value, by Type (2020-2031)
3.2.3 Global Computing Power Leasing Platform Sales Value, by Type (%) (2020-2031)
4 Segmentation by Deployment Model
4.1 Introduction by Deployment Model
4.1.1 Centralized Cloud-Based Platforms
4.1.2 Blockchain-Based Platforms
4.2 Global Computing Power Leasing Platform Sales Value by Deployment Model
4.2.1 Global Computing Power Leasing Platform Sales Value by Deployment Model (2020 VS 2024 VS 2031)
4.2.2 Global Computing Power Leasing Platform Sales Value, by Deployment Model (2020-2031)
4.2.3 Global Computing Power Leasing Platform Sales Value, by Deployment Model (%) (2020-2031)
5 Segmentation by Application
5.1 Introduction by Application
5.1.1 Students and Researchers
5.1.2 Game and Film Companies
5.1.3 AI Companies
5.1.4 Others
5.2 Global Computing Power Leasing Platform Sales Value by Application
5.2.1 Global Computing Power Leasing Platform Sales Value by Application (2020 VS 2024 VS 2031)
5.2.2 Global Computing Power Leasing Platform Sales Value, by Application (2020-2031)
5.2.3 Global Computing Power Leasing Platform Sales Value, by Application (%) (2020-2031)
6 Segmentation by Region
6.1 Global Computing Power Leasing Platform Sales Value by Region
6.1.1 Global Computing Power Leasing Platform Sales Value by Region: 2020 VS 2024 VS 2031
6.1.2 Global Computing Power Leasing Platform Sales Value by Region (2020-2025)
6.1.3 Global Computing Power Leasing Platform Sales Value by Region (2026-2031)
6.1.4 Global Computing Power Leasing Platform Sales Value by Region (%), (2020-2031)
6.2 North America
6.2.1 North America Computing Power Leasing Platform Sales Value, 2020-2031
6.2.2 North America Computing Power Leasing Platform Sales Value by Country (%), 2024 VS 2031
6.3 Europe
6.3.1 Europe Computing Power Leasing Platform Sales Value, 2020-2031
6.3.2 Europe Computing Power Leasing Platform Sales Value by Country (%), 2024 VS 2031
6.4 Asia Pacific
6.4.1 Asia Pacific Computing Power Leasing Platform Sales Value, 2020-2031
6.4.2 Asia Pacific Computing Power Leasing Platform Sales Value by Region (%), 2024 VS 2031
6.5 South America
6.5.1 South America Computing Power Leasing Platform Sales Value, 2020-2031
6.5.2 South America Computing Power Leasing Platform Sales Value by Country (%), 2024 VS 2031
6.6 Middle East & Africa
6.6.1 Middle East & Africa Computing Power Leasing Platform Sales Value, 2020-2031
6.6.2 Middle East & Africa Computing Power Leasing Platform Sales Value by Country (%), 2024 VS 2031
7 Segmentation by Key Countries/Regions
7.1 Key Countries/Regions Computing Power Leasing Platform Sales Value Growth Trends, 2020 VS 2024 VS 2031
7.2 Key Countries/Regions Computing Power Leasing Platform Sales Value, 2020-2031
7.3 United States
7.3.1 United States Computing Power Leasing Platform Sales Value, 2020-2031
7.3.2 United States Computing Power Leasing Platform Sales Value by Type (%), 2024 VS 2031
7.3.3 United States Computing Power Leasing Platform Sales Value by Application, 2024 VS 2031
7.4 Europe
7.4.1 Europe Computing Power Leasing Platform Sales Value, 2020-2031
7.4.2 Europe Computing Power Leasing Platform Sales Value by Type (%), 2024 VS 2031
7.4.3 Europe Computing Power Leasing Platform Sales Value by Application, 2024 VS 2031
7.5 China
7.5.1 China Computing Power Leasing Platform Sales Value, 2020-2031
7.5.2 China Computing Power Leasing Platform Sales Value by Type (%), 2024 VS 2031
7.5.3 China Computing Power Leasing Platform Sales Value by Application, 2024 VS 2031
7.6 Japan
7.6.1 Japan Computing Power Leasing Platform Sales Value, 2020-2031
7.6.2 Japan Computing Power Leasing Platform Sales Value by Type (%), 2024 VS 2031
7.6.3 Japan Computing Power Leasing Platform Sales Value by Application, 2024 VS 2031
7.7 South Korea
7.7.1 South Korea Computing Power Leasing Platform Sales Value, 2020-2031
7.7.2 South Korea Computing Power Leasing Platform Sales Value by Type (%), 2024 VS 2031
7.7.3 South Korea Computing Power Leasing Platform Sales Value by Application, 2024 VS 2031
7.8 Southeast Asia
7.8.1 Southeast Asia Computing Power Leasing Platform Sales Value, 2020-2031
7.8.2 Southeast Asia Computing Power Leasing Platform Sales Value by Type (%), 2024 VS 2031
7.8.3 Southeast Asia Computing Power Leasing Platform Sales Value by Application, 2024 VS 2031
7.9 India
7.9.1 India Computing Power Leasing Platform Sales Value, 2020-2031
7.9.2 India Computing Power Leasing Platform Sales Value by Type (%), 2024 VS 2031
7.9.3 India Computing Power Leasing Platform Sales Value by Application, 2024 VS 2031
8 Company Profiles
8.1 Paperspace
8.1.1 Paperspace Profile
8.1.2 Paperspace Main Business
8.1.3 Paperspace Computing Power Leasing Platform Products, Services and Solutions
8.1.4 Paperspace Computing Power Leasing Platform Revenue (US$ Million) & (2020-2025)
8.1.5 Paperspace Recent Developments
8.2 Amazon Web Services (AWS)
8.2.1 Amazon Web Services (AWS) Profile
8.2.2 Amazon Web Services (AWS) Main Business
8.2.3 Amazon Web Services (AWS) Computing Power Leasing Platform Products, Services and Solutions
8.2.4 Amazon Web Services (AWS) Computing Power Leasing Platform Revenue (US$ Million) & (2020-2025)
8.2.5 Amazon Web Services (AWS) Recent Developments
8.3 IBM
8.3.1 IBM Profile
8.3.2 IBM Main Business
8.3.3 IBM Computing Power Leasing Platform Products, Services and Solutions
8.3.4 IBM Computing Power Leasing Platform Revenue (US$ Million) & (2020-2025)
8.3.5 IBM Recent Developments
8.4 Salad
8.4.1 Salad Profile
8.4.2 Salad Main Business
8.4.3 Salad Computing Power Leasing Platform Products, Services and Solutions
8.4.4 Salad Computing Power Leasing Platform Revenue (US$ Million) & (2020-2025)
8.4.5 Salad Recent Developments
8.5 Jiyun Cloud
8.5.1 Jiyun Cloud Profile
8.5.2 Jiyun Cloud Main Business
8.5.3 Jiyun Cloud Computing Power Leasing Platform Products, Services and Solutions
8.5.4 Jiyun Cloud Computing Power Leasing Platform Revenue (US$ Million) & (2020-2025)
8.5.5 Jiyun Cloud Recent Developments
8.6 Lettall Electronic
8.6.1 Lettall Electronic Profile
8.6.2 Lettall Electronic Main Business
8.6.3 Lettall Electronic Computing Power Leasing Platform Products, Services and Solutions
8.6.4 Lettall Electronic Computing Power Leasing Platform Revenue (US$ Million) & (2020-2025)
8.6.5 Lettall Electronic Recent Developments
8.7 Beijing Ebtech
8.7.1 Beijing Ebtech Profile
8.7.2 Beijing Ebtech Main Business
8.7.3 Beijing Ebtech Computing Power Leasing Platform Products, Services and Solutions
8.7.4 Beijing Ebtech Computing Power Leasing Platform Revenue (US$ Million) & (2020-2025)
8.7.5 Beijing Ebtech Recent Developments
8.8 OneThing
8.8.1 OneThing Profile
8.8.2 OneThing Main Business
8.8.3 OneThing Computing Power Leasing Platform Products, Services and Solutions
8.8.4 OneThing Computing Power Leasing Platform Revenue (US$ Million) & (2020-2025)
8.8.5 OneThing Recent Developments
8.9 SuanLix Cloud AnyGPU
8.9.1 SuanLix Cloud AnyGPU Profile
8.9.2 SuanLix Cloud AnyGPU Main Business
8.9.3 SuanLix Cloud AnyGPU Computing Power Leasing Platform Products, Services and Solutions
8.9.4 SuanLix Cloud AnyGPU Computing Power Leasing Platform Revenue (US$ Million) & (2020-2025)
8.9.5 SuanLix Cloud AnyGPU Recent Developments
8.10 Tencent Cloud CVM
8.10.1 Tencent Cloud CVM Profile
8.10.2 Tencent Cloud CVM Main Business
8.10.3 Tencent Cloud CVM Computing Power Leasing Platform Products, Services and Solutions
8.10.4 Tencent Cloud CVM Computing Power Leasing Platform Revenue (US$ Million) & (2020-2025)
8.10.5 Tencent Cloud CVM Recent Developments
8.11 AutoDL
8.11.1 AutoDL Profile
8.11.2 AutoDL Main Business
8.11.3 AutoDL Computing Power Leasing Platform Products, Services and Solutions
8.11.4 AutoDL Computing Power Leasing Platform Revenue (US$ Million) & (2020-2025)
8.11.5 AutoDL Recent Developments
8.12 AI Galaxy
8.12.1 AI Galaxy Profile
8.12.2 AI Galaxy Main Business
8.12.3 AI Galaxy Computing Power Leasing Platform Products, Services and Solutions
8.12.4 AI Galaxy Computing Power Leasing Platform Revenue (US$ Million) & (2020-2025)
8.12.5 AI Galaxy Recent Developments
8.13 OpenBayes
8.13.1 OpenBayes Profile
8.13.2 OpenBayes Main Business
8.13.3 OpenBayes Computing Power Leasing Platform Products, Services and Solutions
8.13.4 OpenBayes Computing Power Leasing Platform Revenue (US$ Million) & (2020-2025)
8.13.5 OpenBayes Recent Developments
8.14 Featurize
8.14.1 Featurize Profile
8.14.2 Featurize Main Business
8.14.3 Featurize Computing Power Leasing Platform Products, Services and Solutions
8.14.4 Featurize Computing Power Leasing Platform Revenue (US$ Million) & (2020-2025)
8.14.5 Featurize Recent Developments
9 Industry Chain Analysis
9.1 Computing Power Leasing Platform Industrial Chain
9.2 Computing Power Leasing Platform Upstream Analysis
9.2.1 Key Raw Materials
9.2.2 Raw Materials Key Suppliers
9.2.3 Manufacturing Cost Structure
9.3 Midstream Analysis
9.4 Downstream Analysis (Customers Analysis)
9.5 Sales Model and Sales Channels
9.5.1 Computing Power Leasing Platform Sales Model
9.5.2 Sales Channel
9.5.3 Computing Power Leasing Platform Distributors
10 Research Findings and Conclusion
11 Appendix
11.1 Research Methodology
11.1.1 Methodology/Research Approach
11.1.1.1 Research Programs/Design
11.1.1.2 Market Size Estimation
11.1.1.3 Market Breakdown and Data Triangulation
11.1.2 Data Source
11.1.2.1 Secondary Sources
11.1.2.2 Primary Sources
11.2 Author Details
11.3 Disclaimer
Table of Figures
List of Tables
Table 1. Computing Power Leasing Platform Market Trends
Table 2. Computing Power Leasing Platform Market Drivers & Opportunity
Table 3. Computing Power Leasing Platform Market Challenges
Table 4. Computing Power Leasing Platform Market Restraints
Table 5. Global Computing Power Leasing Platform Revenue by Company (2020-2025) & (US$ Million)
Table 6. Global Computing Power Leasing Platform Revenue Market Share by Company (2020-2025)
Table 7. Key Companies Computing Power Leasing Platform Manufacturing Base Distribution and Headquarters
Table 8. Key Companies Computing Power Leasing Platform Product Type
Table 9. Key Companies Time to Begin Mass Production of Computing Power Leasing Platform
Table 10. Global Computing Power Leasing Platform Companies Market Concentration Ratio (CR5 and HHI)
Table 11. Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Computing Power Leasing Platform as of 2024)
Table 12. Mergers & Acquisitions, Expansion Plans
Table 13. Global Computing Power Leasing Platform Sales Value by Type: 2020 VS 2024 VS 2031 (US$ Million)
Table 14. Global Computing Power Leasing Platform Sales Value by Type (2020-2025) & (US$ Million)
Table 15. Global Computing Power Leasing Platform Sales Value by Type (2026-2031) & (US$ Million)
Table 16. Global Computing Power Leasing Platform Sales Market Share in Value by Type (2020-2025)
Table 17. Global Computing Power Leasing Platform Sales Market Share in Value by Type (2026-2031)
Table 18. Global Computing Power Leasing Platform Sales Value by Deployment Model: 2020 VS 2024 VS 2031 (US$ Million)
Table 19. Global Computing Power Leasing Platform Sales Value by Deployment Model (2020-2025) & (US$ Million)
Table 20. Global Computing Power Leasing Platform Sales Value by Deployment Model (2026-2031) & (US$ Million)
Table 21. Global Computing Power Leasing Platform Sales Market Share in Value by Deployment Model (2020-2025)
Table 22. Global Computing Power Leasing Platform Sales Market Share in Value by Deployment Model (2026-2031)
Table 23. Global Computing Power Leasing Platform Sales Value by Application: 2020 VS 2024 VS 2031 (US$ Million)
Table 24. Global Computing Power Leasing Platform Sales Value by Application (2020-2025) & (US$ Million)
Table 25. Global Computing Power Leasing Platform Sales Value by Application (2026-2031) & (US$ Million)
Table 26. Global Computing Power Leasing Platform Sales Market Share in Value by Application (2020-2025)
Table 27. Global Computing Power Leasing Platform Sales Market Share in Value by Application (2026-2031)
Table 28. Global Computing Power Leasing Platform Sales Value by Region, (2020 VS 2024 VS 2031) & (US$ Million)
Table 29. Global Computing Power Leasing Platform Sales Value by Region (2020-2025) & (US$ Million)
Table 30. Global Computing Power Leasing Platform Sales Value by Region (2026-2031) & (US$ Million)
Table 31. Global Computing Power Leasing Platform Sales Value by Region (2020-2025) & (%)
Table 32. Global Computing Power Leasing Platform Sales Value by Region (2026-2031) & (%)
Table 33. Key Countries/Regions Computing Power Leasing Platform Sales Value Growth Trends, (US$ Million): 2020 VS 2024 VS 2031
Table 34. Key Countries/Regions Computing Power Leasing Platform Sales Value, (2020-2025) & (US$ Million)
Table 35. Key Countries/Regions Computing Power Leasing Platform Sales Value, (2026-2031) & (US$ Million)
Table 36. Paperspace Basic Information List
Table 37. Paperspace Description and Business Overview
Table 38. Paperspace Computing Power Leasing Platform Products, Services and Solutions
Table 39. Revenue (US$ Million) in Computing Power Leasing Platform Business of Paperspace (2020-2025)
Table 40. Paperspace Recent Developments
Table 41. Amazon Web Services (AWS) Basic Information List
Table 42. Amazon Web Services (AWS) Description and Business Overview
Table 43. Amazon Web Services (AWS) Computing Power Leasing Platform Products, Services and Solutions
Table 44. Revenue (US$ Million) in Computing Power Leasing Platform Business of Amazon Web Services (AWS) (2020-2025)
Table 45. Amazon Web Services (AWS) Recent Developments
Table 46. IBM Basic Information List
Table 47. IBM Description and Business Overview
Table 48. IBM Computing Power Leasing Platform Products, Services and Solutions
Table 49. Revenue (US$ Million) in Computing Power Leasing Platform Business of IBM (2020-2025)
Table 50. IBM Recent Developments
Table 51. Salad Basic Information List
Table 52. Salad Description and Business Overview
Table 53. Salad Computing Power Leasing Platform Products, Services and Solutions
Table 54. Revenue (US$ Million) in Computing Power Leasing Platform Business of Salad (2020-2025)
Table 55. Salad Recent Developments
Table 56. Jiyun Cloud Basic Information List
Table 57. Jiyun Cloud Description and Business Overview
Table 58. Jiyun Cloud Computing Power Leasing Platform Products, Services and Solutions
Table 59. Revenue (US$ Million) in Computing Power Leasing Platform Business of Jiyun Cloud (2020-2025)
Table 60. Jiyun Cloud Recent Developments
Table 61. Lettall Electronic Basic Information List
Table 62. Lettall Electronic Description and Business Overview
Table 63. Lettall Electronic Computing Power Leasing Platform Products, Services and Solutions
Table 64. Revenue (US$ Million) in Computing Power Leasing Platform Business of Lettall Electronic (2020-2025)
Table 65. Lettall Electronic Recent Developments
Table 66. Beijing Ebtech Basic Information List
Table 67. Beijing Ebtech Description and Business Overview
Table 68. Beijing Ebtech Computing Power Leasing Platform Products, Services and Solutions
Table 69. Revenue (US$ Million) in Computing Power Leasing Platform Business of Beijing Ebtech (2020-2025)
Table 70. Beijing Ebtech Recent Developments
Table 71. OneThing Basic Information List
Table 72. OneThing Description and Business Overview
Table 73. OneThing Computing Power Leasing Platform Products, Services and Solutions
Table 74. Revenue (US$ Million) in Computing Power Leasing Platform Business of OneThing (2020-2025)
Table 75. OneThing Recent Developments
Table 76. SuanLix Cloud AnyGPU Basic Information List
Table 77. SuanLix Cloud AnyGPU Description and Business Overview
Table 78. SuanLix Cloud AnyGPU Computing Power Leasing Platform Products, Services and Solutions
Table 79. Revenue (US$ Million) in Computing Power Leasing Platform Business of SuanLix Cloud AnyGPU (2020-2025)
Table 80. SuanLix Cloud AnyGPU Recent Developments
Table 81. Tencent Cloud CVM Basic Information List
Table 82. Tencent Cloud CVM Description and Business Overview
Table 83. Tencent Cloud CVM Computing Power Leasing Platform Products, Services and Solutions
Table 84. Revenue (US$ Million) in Computing Power Leasing Platform Business of Tencent Cloud CVM (2020-2025)
Table 85. Tencent Cloud CVM Recent Developments
Table 86. AutoDL Basic Information List
Table 87. AutoDL Description and Business Overview
Table 88. AutoDL Computing Power Leasing Platform Products, Services and Solutions
Table 89. Revenue (US$ Million) in Computing Power Leasing Platform Business of AutoDL (2020-2025)
Table 90. AutoDL Recent Developments
Table 91. AI Galaxy Basic Information List
Table 92. AI Galaxy Description and Business Overview
Table 93. AI Galaxy Computing Power Leasing Platform Products, Services and Solutions
Table 94. Revenue (US$ Million) in Computing Power Leasing Platform Business of AI Galaxy (2020-2025)
Table 95. AI Galaxy Recent Developments
Table 96. OpenBayes Basic Information List
Table 97. OpenBayes Description and Business Overview
Table 98. OpenBayes Computing Power Leasing Platform Products, Services and Solutions
Table 99. Revenue (US$ Million) in Computing Power Leasing Platform Business of OpenBayes (2020-2025)
Table 100. OpenBayes Recent Developments
Table 101. Featurize Basic Information List
Table 102. Featurize Description and Business Overview
Table 103. Featurize Computing Power Leasing Platform Products, Services and Solutions
Table 104. Revenue (US$ Million) in Computing Power Leasing Platform Business of Featurize (2020-2025)
Table 105. Featurize Recent Developments
Table 106. Key Raw Materials Lists
Table 107. Raw Materials Key Suppliers Lists
Table 108. Computing Power Leasing Platform Downstream Customers
Table 109. Computing Power Leasing Platform Distributors List
Table 110. Research Programs/Design for This Report
Table 111. Key Data Information from Secondary Sources
Table 112. Key Data Information from Primary Sources
List of Figures
Figure 1. Computing Power Leasing Platform Product Picture
Figure 2. Global Computing Power Leasing Platform Sales Value, 2020 VS 2024 VS 2031 (US$ Million)
Figure 3. Global Computing Power Leasing Platform Sales Value (2020-2031) & (US$ Million)
Figure 4. Computing Power Leasing Platform Report Years Considered
Figure 5. Global Computing Power Leasing Platform Players Revenue Ranking (2024) & (US$ Million)
Figure 6. The 5 and 10 Largest Companies in the World: Market Share by Computing Power Leasing Platform Revenue in 2024
Figure 7. Computing Power Leasing Platform Market Share by Company Type (Tier 1, Tier 2, and Tier 3): 2020 VS 2024
Figure 8. Enterprise Level Picture
Figure 9. Personal Version Picture
Figure 10. Global Computing Power Leasing Platform Sales Value by Type (2020 VS 2024 VS 2031) & (US$ Million)
Figure 11. Global Computing Power Leasing Platform Sales Value Market Share by Type, 2024 & 2031
Figure 12. Centralized Cloud-Based Platforms Picture
Figure 13. Blockchain-Based Platforms Picture
Figure 14. Global Computing Power Leasing Platform Sales Value by Deployment Model (2020 VS 2024 VS 2031) & (US$ Million)
Figure 15. Global Computing Power Leasing Platform Sales Value Market Share by Deployment Model, 2024 & 2031
Figure 16. Product Picture of Students and Researchers
Figure 17. Product Picture of Game and Film Companies
Figure 18. Product Picture of AI Companies
Figure 19. Product Picture of Others
Figure 20. Global Computing Power Leasing Platform Sales Value by Application (2020 VS 2024 VS 2031) & (US$ Million)
Figure 21. Global Computing Power Leasing Platform Sales Value Market Share by Application, 2024 & 2031
Figure 22. North America Computing Power Leasing Platform Sales Value (2020-2031) & (US$ Million)
Figure 23. North America Computing Power Leasing Platform Sales Value by Country (%), 2024 VS 2031
Figure 24. Europe Computing Power Leasing Platform Sales Value, (2020-2031) & (US$ Million)
Figure 25. Europe Computing Power Leasing Platform Sales Value by Country (%), 2024 VS 2031
Figure 26. Asia Pacific Computing Power Leasing Platform Sales Value, (2020-2031) & (US$ Million)
Figure 27. Asia Pacific Computing Power Leasing Platform Sales Value by Region (%), 2024 VS 2031
Figure 28. South America Computing Power Leasing Platform Sales Value, (2020-2031) & (US$ Million)
Figure 29. South America Computing Power Leasing Platform Sales Value by Country (%), 2024 VS 2031
Figure 30. Middle East & Africa Computing Power Leasing Platform Sales Value, (2020-2031) & (US$ Million)
Figure 31. Middle East & Africa Computing Power Leasing Platform Sales Value by Country (%), 2024 VS 2031
Figure 32. Key Countries/Regions Computing Power Leasing Platform Sales Value (%), (2020-2031)
Figure 33. United States Computing Power Leasing Platform Sales Value, (2020-2031) & (US$ Million)
Figure 34. United States Computing Power Leasing Platform Sales Value by Type (%), 2024 VS 2031
Figure 35. United States Computing Power Leasing Platform Sales Value by Application (%), 2024 VS 2031
Figure 36. Europe Computing Power Leasing Platform Sales Value, (2020-2031) & (US$ Million)
Figure 37. Europe Computing Power Leasing Platform Sales Value by Type (%), 2024 VS 2031
Figure 38. Europe Computing Power Leasing Platform Sales Value by Application (%), 2024 VS 2031
Figure 39. China Computing Power Leasing Platform Sales Value, (2020-2031) & (US$ Million)
Figure 40. China Computing Power Leasing Platform Sales Value by Type (%), 2024 VS 2031
Figure 41. China Computing Power Leasing Platform Sales Value by Application (%), 2024 VS 2031
Figure 42. Japan Computing Power Leasing Platform Sales Value, (2020-2031) & (US$ Million)
Figure 43. Japan Computing Power Leasing Platform Sales Value by Type (%), 2024 VS 2031
Figure 44. Japan Computing Power Leasing Platform Sales Value by Application (%), 2024 VS 2031
Figure 45. South Korea Computing Power Leasing Platform Sales Value, (2020-2031) & (US$ Million)
Figure 46. South Korea Computing Power Leasing Platform Sales Value by Type (%), 2024 VS 2031
Figure 47. South Korea Computing Power Leasing Platform Sales Value by Application (%), 2024 VS 2031
Figure 48. Southeast Asia Computing Power Leasing Platform Sales Value, (2020-2031) & (US$ Million)
Figure 49. Southeast Asia Computing Power Leasing Platform Sales Value by Type (%), 2024 VS 2031
Figure 50. Southeast Asia Computing Power Leasing Platform Sales Value by Application (%), 2024 VS 2031
Figure 51. India Computing Power Leasing Platform Sales Value, (2020-2031) & (US$ Million)
Figure 52. India Computing Power Leasing Platform Sales Value by Type (%), 2024 VS 2031
Figure 53. India Computing Power Leasing Platform Sales Value by Application (%), 2024 VS 2031
Figure 54. Computing Power Leasing Platform Industrial Chain
Figure 55. Computing Power Leasing Platform Manufacturing Cost Structure
Figure 56. Channels of Distribution (Direct Sales, and Distribution)
Figure 57. Bottom-up and Top-down Approaches for This Report
Figure 58. Data Triangulation
Figure 59. Key Executives InterviewedDescription
The global market for Computing Power Leasing Platform was estimated to be worth US$ 1225 million in 2024 and is forecast to a readjusted size of US$ 1641 million by 2031 with a CAGR of 3.6% during the forecast period 2025-2031.
Computing Power Leasing Platform is a digital service model where users lease computing resources (CPU, GPU, storage, or cloud-based clusters) from providers instead of owning physical infrastructure. These platforms supply on-demand or subscription-based computing resources for AI training, big data analytics, scientific research, rendering, blockchain, and other high-performance computing (HPC) tasks. They help reduce upfront capital expenditure and improve flexibility, scalability, and efficiency.
Market Average Gross Profit Margin: 25%–32%, since margins are influenced by infrastructure costs, energy consumption, and differentiation between centralized hyperscalers and decentralized platforms.
The computing power leasing platform market has emerged as a fast-growing segment within the broader digital economy, fueled by demand for scalable, on-demand computational resources. At its core, these platforms allow enterprises, developers, and individuals to lease computing power without investing in costly infrastructure, serving use cases such as AI model training, big data analytics, blockchain mining, rendering, and high-performance simulations. The market has gained traction as organizations seek flexibility and cost efficiency, with platforms offering pay-as-you-go or subscription-based models. Development has been accelerated by advances in cloud computing, virtualization, and distributed resource management, which make it possible to pool and monetize idle or underutilized computing capacity. Platforms vary from centralized providers with large-scale data centers to decentralized marketplaces that allow users to rent and lend computing power peer-to-peer. The rising adoption of artificial intelligence and machine learning has further driven growth, as these applications require high-performance GPUs and CPUs that are often prohibitively expensive to own outright. Overall, the market is shifting from niche use cases toward mainstream adoption, positioning computing power leasing as a key enabler of digital transformation across industries.
From a regional perspective, North America leads the market due to its concentration of cloud service providers, hyperscale data centers, and AI-driven enterprises that demand massive computing resources. The United States, in particular, hosts the largest number of platform providers, supported by robust venture capital funding and established tech ecosystems. Europe is also a strong market, propelled by data sovereignty requirements, GDPR compliance, and the need for scalable infrastructure for financial services, healthcare, and research. Germany, the UK, and France are leading adopters, while Nordic countries are leveraging renewable energy to host sustainable data centers. Asia-Pacific is the fastest-growing region, driven by rapid digitalization in China, Japan, South Korea, and India, where both consumer and industrial demand for computing power are expanding. China stands out with strong government support for AI and blockchain applications, while India’s startup ecosystem increasingly relies on rented cloud computing to scale. Emerging regions such as the Middle East, Africa, and Latin America are beginning to adopt computing power leasing platforms as digital infrastructure investments increase, though challenges remain in bandwidth, affordability, and regulatory frameworks.
In terms of trends, the market is increasingly shaped by the rise of decentralized and blockchain-enabled platforms that allow peer-to-peer computing power exchanges. This contrasts with the centralized model dominated by cloud hyperscalers, offering users more choice and potentially lower costs. Another trend is the growing specialization of platforms — some focus exclusively on GPU leasing for AI training, while others emphasize CPU-intensive tasks or hybrid solutions. The integration of AI into platform management is becoming common, with algorithms dynamically allocating resources to optimize performance and costs. Subscription and marketplace models are diversifying, with some platforms offering tiered packages for different industries or workloads. Edge computing is also influencing the market, as platforms experiment with distributing workloads closer to end-users to reduce latency. Sustainability remains a defining theme, with many platforms marketing carbon-neutral or energy-efficient infrastructure as a differentiator. Partnerships between leasing platforms and industry-specific solution providers are increasing, signaling a move toward verticalized offerings tailored to healthcare, finance, gaming, and creative industries.
This report aims to provide a comprehensive presentation of the global market for Computing Power Leasing Platform, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Computing Power Leasing Platform by region & country, by Type, and by Application.
The Computing Power Leasing Platform market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Computing Power Leasing Platform.
Market Segmentation
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides 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 2: Detailed analysis of Computing Power Leasing Platform company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Computing Power Leasing Platform in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Computing Power Leasing Platform in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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