Global GPU Computing Power Rental Market 2025 by Company, Regions, Type and Application, Forecast to 2031
Description
According to our (Global Info Research) latest study, the global GPU Computing Power Rental market size was valued at US$ 6084 million in 2024 and is forecast to a readjusted size of USD 23710 million by 2031 with a CAGR of 20.9% during review period.
GPU Computing Power Rental refers to the service of leasing graphics processing unit (GPU) resources from cloud providers or data centers to perform high-performance computing (HPC) tasks. Instead of purchasing expensive GPU hardware, users can rent GPU power on-demand for tasks requiring massive parallel processing capabilities.
This report is a detailed and comprehensive analysis for global GPU Computing Power Rental market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global GPU Computing Power Rental market size and forecasts, in consumption value ($ Million), 2020-2031
Global GPU Computing Power Rental market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global GPU Computing Power Rental market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global GPU Computing Power Rental market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for GPU Computing Power Rental
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global GPU Computing Power Rental market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include AWS, Oracle, Lepton AI, JarvisLabs.ai, Xesktop, Levita, GPU Mart, Leadergpu, Aethir, Runpod, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
GPU Computing Power Rental market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Billing by Duration
Monthly/Annual
Market segment by Application
Medium and Large Companies
Small Companies
Market segment by players, this report covers
AWS
Oracle
Lepton AI
JarvisLabs.ai
Xesktop
Levita
GPU Mart
Leadergpu
Aethir
Runpod
Aricoma
Ionet
Deep Learning Rental LLC (DLR)
Alibaba Cloud
Dr.peng Telecom & Media Group
Shanghai Gencong Information Technology
Suzhou Super Cluster Information Technologies
China Bester Group Telecom
OpenBayes
Chengdu Jiyun Tianxia Technology
Hangzhou Houde Cloud Computing
AutoDL
AnyGPU
OneThingAI
GMI Cloud
Beijing Yuanjie Cloud Computing Technology
DAMODEL
Guizhou Suojia Computing Services
Guangzhou Xinglin Information Technology
9gpu
Shenzhen Jiezhi Computing Technology
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe GPU Computing Power Rental product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of GPU Computing Power Rental, with revenue, gross margin, and global market share of GPU Computing Power Rental from 2020 to 2025.
Chapter 3, the GPU Computing Power Rental competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and GPU Computing Power Rental market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of GPU Computing Power Rental.
Chapter 13, to describe GPU Computing Power Rental research findings and conclusion.
GPU Computing Power Rental refers to the service of leasing graphics processing unit (GPU) resources from cloud providers or data centers to perform high-performance computing (HPC) tasks. Instead of purchasing expensive GPU hardware, users can rent GPU power on-demand for tasks requiring massive parallel processing capabilities.
This report is a detailed and comprehensive analysis for global GPU Computing Power Rental market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global GPU Computing Power Rental market size and forecasts, in consumption value ($ Million), 2020-2031
Global GPU Computing Power Rental market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global GPU Computing Power Rental market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global GPU Computing Power Rental market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for GPU Computing Power Rental
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global GPU Computing Power Rental market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include AWS, Oracle, Lepton AI, JarvisLabs.ai, Xesktop, Levita, GPU Mart, Leadergpu, Aethir, Runpod, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
GPU Computing Power Rental market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Billing by Duration
Monthly/Annual
Market segment by Application
Medium and Large Companies
Small Companies
Market segment by players, this report covers
AWS
Oracle
Lepton AI
JarvisLabs.ai
Xesktop
Levita
GPU Mart
Leadergpu
Aethir
Runpod
Aricoma
Ionet
Deep Learning Rental LLC (DLR)
Alibaba Cloud
Dr.peng Telecom & Media Group
Shanghai Gencong Information Technology
Suzhou Super Cluster Information Technologies
China Bester Group Telecom
OpenBayes
Chengdu Jiyun Tianxia Technology
Hangzhou Houde Cloud Computing
AutoDL
AnyGPU
OneThingAI
GMI Cloud
Beijing Yuanjie Cloud Computing Technology
DAMODEL
Guizhou Suojia Computing Services
Guangzhou Xinglin Information Technology
9gpu
Shenzhen Jiezhi Computing Technology
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe GPU Computing Power Rental product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of GPU Computing Power Rental, with revenue, gross margin, and global market share of GPU Computing Power Rental from 2020 to 2025.
Chapter 3, the GPU Computing Power Rental competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and GPU Computing Power Rental market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of GPU Computing Power Rental.
Chapter 13, to describe GPU Computing Power Rental research findings and conclusion.
Table of Contents
217 Pages
- 1 Market Overview
- 2 Company Profiles
- 3 Market Competition, by Players
- 4 Market Size Segment by Type
- 5 Market Size Segment by Application
- 6 North America
- 7 Europe
- 8 Asia-Pacific
- 9 South America
- 10 Middle East & Africa
- 11 Market Dynamics
- 12 Industry Chain Analysis
- 13 Research Findings and Conclusion
- 14 Appendix
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