Global AI Computing Power Rental Market Research Report 2024

Publication ID:

PB508242425

Publication Date:

August 19, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global AI Computing Power Rental market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for AI Computing Power Rental is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for AI Computing Power Rental is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for AI Computing Power Rental in LLM Training is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
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 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI Computing Power Rental, 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 AI Computing Power Rental.
Report Scope
The AI Computing Power Rental market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI Computing Power Rental market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI Computing Power Rental companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
NVIDIA
Microsoft
Amazon
Google
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
Segment by Type
One-time Buyout
Retail
Segment by Application
LLM Training
Cloud Service
Vertical Applications
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 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 3: Detailed analysis of AI Computing Power Rental companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin 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 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Computing Power Rental Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 One-time Buyout
1.2.3 Retail
1.3 Market by Application
1.3.1 Global AI Computing Power Rental Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 LLM Training
1.3.3 Cloud Service
1.3.4 Vertical Applications
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Computing Power Rental Market Perspective (2019-2030)
2.2 AI Computing Power Rental Growth Trends by Region
2.2.1 Global AI Computing Power Rental Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI Computing Power Rental Historic Market Size by Region (2019-2024)
2.2.3 AI Computing Power Rental Forecasted Market Size by Region (2025-2030)
2.3 AI Computing Power Rental Market Dynamics
2.3.1 AI Computing Power Rental Industry Trends
2.3.2 AI Computing Power Rental Market Drivers
2.3.3 AI Computing Power Rental Market Challenges
2.3.4 AI Computing Power Rental Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Computing Power Rental Players by Revenue
3.1.1 Global Top AI Computing Power Rental Players by Revenue (2019-2024)
3.1.2 Global AI Computing Power Rental Revenue Market Share by Players (2019-2024)
3.2 Global AI Computing Power Rental Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI Computing Power Rental Revenue
3.4 Global AI Computing Power Rental Market Concentration Ratio
3.4.1 Global AI Computing Power Rental Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Computing Power Rental Revenue in 2023
3.5 AI Computing Power Rental Key Players Head office and Area Served
3.6 Key Players AI Computing Power Rental Product Solution and Service
3.7 Date of Enter into AI Computing Power Rental Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Computing Power Rental Breakdown Data by Type
4.1 Global AI Computing Power Rental Historic Market Size by Type (2019-2024)
4.2 Global AI Computing Power Rental Forecasted Market Size by Type (2025-2030)
5 AI Computing Power Rental Breakdown Data by Application
5.1 Global AI Computing Power Rental Historic Market Size by Application (2019-2024)
5.2 Global AI Computing Power Rental Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI Computing Power Rental Market Size (2019-2030)
6.2 North America AI Computing Power Rental Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI Computing Power Rental Market Size by Country (2019-2024)
6.4 North America AI Computing Power Rental Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Computing Power Rental Market Size (2019-2030)
7.2 Europe AI Computing Power Rental Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI Computing Power Rental Market Size by Country (2019-2024)
7.4 Europe AI Computing Power Rental Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI Computing Power Rental Market Size (2019-2030)
8.2 Asia-Pacific AI Computing Power Rental Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI Computing Power Rental Market Size by Region (2019-2024)
8.4 Asia-Pacific AI Computing Power Rental Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI Computing Power Rental Market Size (2019-2030)
9.2 Latin America AI Computing Power Rental Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI Computing Power Rental Market Size by Country (2019-2024)
9.4 Latin America AI Computing Power Rental Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Computing Power Rental Market Size (2019-2030)
10.2 Middle East & Africa AI Computing Power Rental Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI Computing Power Rental Market Size by Country (2019-2024)
10.4 Middle East & Africa AI Computing Power Rental Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 NVIDIA
11.1.1 NVIDIA Company Detail
11.1.2 NVIDIA Business Overview
11.1.3 NVIDIA AI Computing Power Rental Introduction
11.1.4 NVIDIA Revenue in AI Computing Power Rental Business (2019-2024)
11.1.5 NVIDIA Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Detail
11.2.2 Microsoft Business Overview
11.2.3 Microsoft AI Computing Power Rental Introduction
11.2.4 Microsoft Revenue in AI Computing Power Rental Business (2019-2024)
11.2.5 Microsoft Recent Development
11.3 Amazon
11.3.1 Amazon Company Detail
11.3.2 Amazon Business Overview
11.3.3 Amazon AI Computing Power Rental Introduction
11.3.4 Amazon Revenue in AI Computing Power Rental Business (2019-2024)
11.3.5 Amazon Recent Development
11.4 Google
11.4.1 Google Company Detail
11.4.2 Google Business Overview
11.4.3 Google AI Computing Power Rental Introduction
11.4.4 Google Revenue in AI Computing Power Rental Business (2019-2024)
11.4.5 Google Recent Development
11.5 Oracle
11.5.1 Oracle Company Detail
11.5.2 Oracle Business Overview
11.5.3 Oracle AI Computing Power Rental Introduction
11.5.4 Oracle Revenue in AI Computing Power Rental Business (2019-2024)
11.5.5 Oracle Recent Development
11.6 DUG
11.6.1 DUG Company Detail
11.6.2 DUG Business Overview
11.6.3 DUG AI Computing Power Rental Introduction
11.6.4 DUG Revenue in AI Computing Power Rental Business (2019-2024)
11.6.5 DUG Recent Development
11.7 EB Tech (Hongbo Co.,ltd)
11.7.1 EB Tech (Hongbo Co.,ltd) Company Detail
11.7.2 EB Tech (Hongbo Co.,ltd) Business Overview
11.7.3 EB Tech (Hongbo Co.,ltd) AI Computing Power Rental Introduction
11.7.4 EB Tech (Hongbo Co.,ltd) Revenue in AI Computing Power Rental Business (2019-2024)
11.7.5 EB Tech (Hongbo Co.,ltd) Recent Development
11.8 Powerleader (Shenzhen Zqgame)
11.8.1 Powerleader (Shenzhen Zqgame) Company Detail
11.8.2 Powerleader (Shenzhen Zqgame) Business Overview
11.8.3 Powerleader (Shenzhen Zqgame) AI Computing Power Rental Introduction
11.8.4 Powerleader (Shenzhen Zqgame) Revenue in AI Computing Power Rental Business (2019-2024)
11.8.5 Powerleader (Shenzhen Zqgame) Recent Development
11.9 Jiangsu Lettall Electronic
11.9.1 Jiangsu Lettall Electronic Company Detail
11.9.2 Jiangsu Lettall Electronic Business Overview
11.9.3 Jiangsu Lettall Electronic AI Computing Power Rental Introduction
11.9.4 Jiangsu Lettall Electronic Revenue in AI Computing Power Rental Business (2019-2024)
11.9.5 Jiangsu Lettall Electronic Recent Development
11.10 INESA Intelligent Tech
11.10.1 INESA Intelligent Tech Company Detail
11.10.2 INESA Intelligent Tech Business Overview
11.10.3 INESA Intelligent Tech AI Computing Power Rental Introduction
11.10.4 INESA Intelligent Tech Revenue in AI Computing Power Rental Business (2019-2024)
11.10.5 INESA Intelligent Tech Recent Development
11.11 China Bester Group Telecom
11.11.1 China Bester Group Telecom Company Detail
11.11.2 China Bester Group Telecom Business Overview
11.11.3 China Bester Group Telecom AI Computing Power Rental Introduction
11.11.4 China Bester Group Telecom Revenue in AI Computing Power Rental Business (2019-2024)
11.11.5 China Bester Group Telecom Recent Development
11.12 Talkweb Information System
11.12.1 Talkweb Information System Company Detail
11.12.2 Talkweb Information System Business Overview
11.12.3 Talkweb Information System AI Computing Power Rental Introduction
11.12.4 Talkweb Information System Revenue in AI Computing Power Rental Business (2019-2024)
11.12.5 Talkweb Information System Recent Development
11.13 QingCloud Technologies
11.13.1 QingCloud Technologies Company Detail
11.13.2 QingCloud Technologies Business Overview
11.13.3 QingCloud Technologies AI Computing Power Rental Introduction
11.13.4 QingCloud Technologies Revenue in AI Computing Power Rental Business (2019-2024)
11.13.5 QingCloud Technologies Recent Development
11.14 GCL Energy Technology
11.14.1 GCL Energy Technology Company Detail
11.14.2 GCL Energy Technology Business Overview
11.14.3 GCL Energy Technology AI Computing Power Rental Introduction
11.14.4 GCL Energy Technology Revenue in AI Computing Power Rental Business (2019-2024)
11.14.5 GCL Energy Technology Recent Development
11.15 Nova Technology
11.15.1 Nova Technology Company Detail
11.15.2 Nova Technology Business Overview
11.15.3 Nova Technology AI Computing Power Rental Introduction
11.15.4 Nova Technology Revenue in AI Computing Power Rental Business (2019-2024)
11.15.5 Nova Technology Recent Development
11.16 Runjian
11.16.1 Runjian Company Detail
11.16.2 Runjian Business Overview
11.16.3 Runjian AI Computing Power Rental Introduction
11.16.4 Runjian Revenue in AI Computing Power Rental Business (2019-2024)
11.16.5 Runjian Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

NVIDIA
Microsoft
Amazon
Google
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

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