AI Computing Power Rental Market, Size, Share, Trends and Forecast 2032

AI Computing Power Rental Market, Global Outlook and Forecast 2023-2029

Report ID

39838

Publisher

Market Monitor Global

Published Date

03-Nov

Delivery Format

PDF

No of Report Page

106

Editor's Rating

Report Details

This research report provides a comprehensive analysis of the AI Computing Power Rental market, focusing on the current trends, market dynamics, and future prospects. The report explores the global AI Computing Power Rental market, including major regions such as North America, Europe, Asia-Pacific, and emerging markets. It also examines key factors driving the growth of AI Computing Power Rental, challenges faced by the industry, and potential opportunities for market players.
The global AI Computing Power Rental market has witnessed rapid growth in recent years, driven by increasing environmental concerns, government incentives, and advancements in technology. The AI Computing Power Rental market presents opportunities for various stakeholders, including LLM Training, Cloud Service. Collaboration between the private sector and governments can accelerate the development of supportive policies, research and development efforts, and investment in AI Computing Power Rental market. Additionally, the growing consumer demand present avenues for market expansion.
The global AI Computing Power Rental market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period.
Key Features:
The research report on the AI Computing Power Rental market includes several key features to provide comprehensive insights and facilitate decision-making for stakeholders.
Executive Summary: The report provides overview of the key findings, market trends, and major insights of the AI Computing Power Rental market.
Market Overview: The report provides a comprehensive overview of the AI Computing Power Rental market, including its definition, historical development, and current market size. It covers market segmentation by Charging Model (e.g., One-time Buyout, Retail), region, and application, highlighting the key drivers, challenges, and opportunities within each segment.
Market Dynamics: The report analyses the market dynamics driving the growth and development of the AI Computing Power Rental market. The report includes an assessment of government policies and regulations, technological advancements, consumer trends and preferences, infrastructure development, and industry collaborations. This analysis helps stakeholders understand the factors influencing the AI Computing Power Rental market's trajectory.
Competitive Landscape: The report provides an in-depth analysis of the competitive landscape within the AI Computing Power Rental market. It includes profiles of major market players, their market share, strategies, product portfolios, and recent developments.
Market Segmentation and Forecast: The report segment the AI Computing Power Rental market based on various parameters, such as by Charging Model, region, and by Application. It provides market size and growth forecasts for each segment, supported by quantitative data and analysis. This helps stakeholders identify growth opportunities and make informed investment decisions.
Technological Trends: The report should highlight the key technological trends shaping the AI Computing Power Rental market, such as advancements in Type One technology and emerging substitutes. It analyses the impact of these trends on market growth, adoption rates, and consumer preferences.
Market Challenges and Opportunities: The report identify and analyses the major challenges faced by the AI Computing Power Rental market, such as technical bottleneck, cost limitations, and high entry barrier. It also highlights the opportunities for market growth, such as government incentives, emerging markets, and collaborations between stakeholders.
Regulatory and Policy Analysis: The report should assess the regulatory and policy landscape for AI Computing Power Rental, including government incentives, emission standards, and infrastructure development plans. It should analyse the impact of these policies on market growth and provide insights into future regulatory developments.
Recommendations and Conclusion: The report conclude with actionable recommendations for stakeholders, such as Application One Consumer, policymakers, investors, and infrastructure providers. These recommendations should be based on the research findings and address key challenges and opportunities within the AI Computing Power Rental market.
Supporting Data and Appendices: The report include supporting data, charts, and graphs to substantiate the analysis and findings. It also includes appendices with additional detailed information, such as data sources, survey questionnaires, and detailed market forecasts.
Market Segmentation
AI Computing Power Rental market is split by Charging Model and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for consumption value by Charging Model, and by Application in terms of value.
Market segment by Charging Model
One-time Buyout
Retail
Market segment by Application
LLM Training
Cloud Service
Vertical Applications
Global AI Computing Power Rental Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Major players covered
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
Outline of Major Chapters:
Chapter 1: Introduces the definition of AI Computing Power Rental, market overview.
Chapter 2: Global AI Computing Power Rental market size in revenue.
Chapter 3: Detailed analysis of AI Computing Power Rental company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by charging model, 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: Sales of AI Computing Power Rental in regional level and country 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 of each country in the world.
Chapter 7: 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 8: The main points and conclusions of the report.

Table Of Content

1 Introduction to Research & Analysis Reports
    1.1 AI Computing Power Rental Market Definition
    1.2 Market Segments
        1.2.1 Market by Charging Model
        1.2.2 Market by Application
    1.3 Global AI Computing Power Rental Market Overview
    1.4 Features & Benefits of This Report
    1.5 Methodology & Sources of Information
        1.5.1 Research Methodology
        1.5.2 Research Process
        1.5.3 Base Year
        1.5.4 Report Assumptions & Caveats
2 Global AI Computing Power Rental Overall Market Size
    2.1 Global AI Computing Power Rental Market Size: 2022 VS 2029
    2.2 Global AI Computing Power Rental Market Size, Prospects & Forecasts: 2018-2029
    2.3 Key Market Trends, Opportunity, Drivers and Restraints
        2.3.1 Market Opportunities & Trends
        2.3.2 Market Drivers
        2.3.3 Market Restraints
3 Company Landscape
    3.1 Top AI Computing Power Rental Players in Global Market
    3.2 Top Global AI Computing Power Rental Companies Ranked by Revenue
    3.3 Global AI Computing Power Rental Revenue by Companies
    3.4 Top 3 and Top 5 AI Computing Power Rental Companies in Global Market, by Revenue in 2022
    3.5 Global Companies AI Computing Power Rental Product Type
    3.6 Tier 1, Tier 2 and Tier 3 AI Computing Power Rental Players in Global Market
        3.6.1 List of Global Tier 1 AI Computing Power Rental Companies
        3.6.2 List of Global Tier 2 and Tier 3 AI Computing Power Rental Companies
4 Market Sights by Product
    4.1 Overview
        4.1.1 By Charging Model - Global AI Computing Power Rental Market Size Markets, 2022 & 2029
        4.1.2 One-time Buyout
        4.1.3 Retail
    4.2 By Charging Model - Global AI Computing Power Rental Revenue & Forecasts
        4.2.1 By Charging Model - Global AI Computing Power Rental Revenue, 2018-2023
        4.2.2 By Charging Model - Global AI Computing Power Rental Revenue, 2024-2029
        4.2.3 By Charging Model - Global AI Computing Power Rental Revenue Market Share, 2018-2029
5 Sights by Application
    5.1 Overview
        5.1.1 By Application - Global AI Computing Power Rental Market Size, 2022 & 2029
        5.1.2 LLM Training
        5.1.3 Cloud Service
        5.1.4 Vertical Applications
    5.2 By Application - Global AI Computing Power Rental Revenue & Forecasts
        5.2.1 By Application - Global AI Computing Power Rental Revenue, 2018-2023
        5.2.2 By Application - Global AI Computing Power Rental Revenue, 2024-2029
        5.2.3 By Application - Global AI Computing Power Rental Revenue Market Share, 2018-2029
6 Sights by Region
    6.1 By Region - Global AI Computing Power Rental Market Size, 2022 & 2029
    6.2 By Region - Global AI Computing Power Rental Revenue & Forecasts
        6.2.1 By Region - Global AI Computing Power Rental Revenue, 2018-2023
        6.2.2 By Region - Global AI Computing Power Rental Revenue, 2024-2029
        6.2.3 By Region - Global AI Computing Power Rental Revenue Market Share, 2018-2029
    6.3 North America
        6.3.1 By Country - North America AI Computing Power Rental Revenue, 2018-2029
        6.3.2 US AI Computing Power Rental Market Size, 2018-2029
        6.3.3 Canada AI Computing Power Rental Market Size, 2018-2029
        6.3.4 Mexico AI Computing Power Rental Market Size, 2018-2029
    6.4 Europe
        6.4.1 By Country - Europe AI Computing Power Rental Revenue, 2018-2029
        6.4.2 Germany AI Computing Power Rental Market Size, 2018-2029
        6.4.3 France AI Computing Power Rental Market Size, 2018-2029
        6.4.4 U.K. AI Computing Power Rental Market Size, 2018-2029
        6.4.5 Italy AI Computing Power Rental Market Size, 2018-2029
        6.4.6 Russia AI Computing Power Rental Market Size, 2018-2029
        6.4.7 Nordic Countries AI Computing Power Rental Market Size, 2018-2029
        6.4.8 Benelux AI Computing Power Rental Market Size, 2018-2029
    6.5 Asia
        6.5.1 By Region - Asia AI Computing Power Rental Revenue, 2018-2029
        6.5.2 China AI Computing Power Rental Market Size, 2018-2029
        6.5.3 Japan AI Computing Power Rental Market Size, 2018-2029
        6.5.4 South Korea AI Computing Power Rental Market Size, 2018-2029
        6.5.5 Southeast Asia AI Computing Power Rental Market Size, 2018-2029
        6.5.6 India AI Computing Power Rental Market Size, 2018-2029
    6.6 South America
        6.6.1 By Country - South America AI Computing Power Rental Revenue, 2018-2029
        6.6.2 Brazil AI Computing Power Rental Market Size, 2018-2029
        6.6.3 Argentina AI Computing Power Rental Market Size, 2018-2029
    6.7 Middle East & Africa
        6.7.1 By Country - Middle East & Africa AI Computing Power Rental Revenue, 2018-2029
        6.7.2 Turkey AI Computing Power Rental Market Size, 2018-2029
        6.7.3 Israel AI Computing Power Rental Market Size, 2018-2029
        6.7.4 Saudi Arabia AI Computing Power Rental Market Size, 2018-2029
        6.7.5 UAE AI Computing Power Rental Market Size, 2018-2029
7 AI Computing Power Rental Companies Profiles
    7.1 NVIDIA
        7.1.1 NVIDIA Company Summary
        7.1.2 NVIDIA Business Overview
        7.1.3 NVIDIA AI Computing Power Rental Major Product Offerings
        7.1.4 NVIDIA AI Computing Power Rental Revenue in Global Market (2018-2023)
        7.1.5 NVIDIA Key News & Latest Developments
    7.2 Microsoft
        7.2.1 Microsoft Company Summary
        7.2.2 Microsoft Business Overview
        7.2.3 Microsoft AI Computing Power Rental Major Product Offerings
        7.2.4 Microsoft AI Computing Power Rental Revenue in Global Market (2018-2023)
        7.2.5 Microsoft Key News & Latest Developments
    7.3 Amazon
        7.3.1 Amazon Company Summary
        7.3.2 Amazon Business Overview
        7.3.3 Amazon AI Computing Power Rental Major Product Offerings
        7.3.4 Amazon AI Computing Power Rental Revenue in Global Market (2018-2023)
        7.3.5 Amazon Key News & Latest Developments
    7.4 Google
        7.4.1 Google Company Summary
        7.4.2 Google Business Overview
        7.4.3 Google AI Computing Power Rental Major Product Offerings
        7.4.4 Google AI Computing Power Rental Revenue in Global Market (2018-2023)
        7.4.5 Google Key News & Latest Developments
    7.5 Oracle
        7.5.1 Oracle Company Summary
        7.5.2 Oracle Business Overview
        7.5.3 Oracle AI Computing Power Rental Major Product Offerings
        7.5.4 Oracle AI Computing Power Rental Revenue in Global Market (2018-2023)
        7.5.5 Oracle Key News & Latest Developments
    7.6 DUG
        7.6.1 DUG Company Summary
        7.6.2 DUG Business Overview
        7.6.3 DUG AI Computing Power Rental Major Product Offerings
        7.6.4 DUG AI Computing Power Rental Revenue in Global Market (2018-2023)
        7.6.5 DUG Key News & Latest Developments
    7.7 EB Tech (Hongbo Co.,ltd)
        7.7.1 EB Tech (Hongbo Co.,ltd) Company Summary
        7.7.2 EB Tech (Hongbo Co.,ltd) Business Overview
        7.7.3 EB Tech (Hongbo Co.,ltd) AI Computing Power Rental Major Product Offerings
        7.7.4 EB Tech (Hongbo Co.,ltd) AI Computing Power Rental Revenue in Global Market (2018-2023)
        7.7.5 EB Tech (Hongbo Co.,ltd) Key News & Latest Developments
    7.8 Powerleader (Shenzhen Zqgame)
        7.8.1 Powerleader (Shenzhen Zqgame) Company Summary
        7.8.2 Powerleader (Shenzhen Zqgame) Business Overview
        7.8.3 Powerleader (Shenzhen Zqgame) AI Computing Power Rental Major Product Offerings
        7.8.4 Powerleader (Shenzhen Zqgame) AI Computing Power Rental Revenue in Global Market (2018-2023)
        7.8.5 Powerleader (Shenzhen Zqgame) Key News & Latest Developments
    7.9 Jiangsu Lettall Electronic
        7.9.1 Jiangsu Lettall Electronic Company Summary
        7.9.2 Jiangsu Lettall Electronic Business Overview
        7.9.3 Jiangsu Lettall Electronic AI Computing Power Rental Major Product Offerings
        7.9.4 Jiangsu Lettall Electronic AI Computing Power Rental Revenue in Global Market (2018-2023)
        7.9.5 Jiangsu Lettall Electronic Key News & Latest Developments
    7.10 INESA Intelligent Tech
        7.10.1 INESA Intelligent Tech Company Summary
        7.10.2 INESA Intelligent Tech Business Overview
        7.10.3 INESA Intelligent Tech AI Computing Power Rental Major Product Offerings
        7.10.4 INESA Intelligent Tech AI Computing Power Rental Revenue in Global Market (2018-2023)
        7.10.5 INESA Intelligent Tech Key News & Latest Developments
    7.11 China Bester Group Telecom
        7.11.1 China Bester Group Telecom Company Summary
        7.11.2 China Bester Group Telecom Business Overview
        7.11.3 China Bester Group Telecom AI Computing Power Rental Major Product Offerings
        7.11.4 China Bester Group Telecom AI Computing Power Rental Revenue in Global Market (2018-2023)
        7.11.5 China Bester Group Telecom Key News & Latest Developments
    7.12 Talkweb Information System
        7.12.1 Talkweb Information System Company Summary
        7.12.2 Talkweb Information System Business Overview
        7.12.3 Talkweb Information System AI Computing Power Rental Major Product Offerings
        7.12.4 Talkweb Information System AI Computing Power Rental Revenue in Global Market (2018-2023)
        7.12.5 Talkweb Information System Key News & Latest Developments
    7.13 QingCloud Technologies
        7.13.1 QingCloud Technologies Company Summary
        7.13.2 QingCloud Technologies Business Overview
        7.13.3 QingCloud Technologies AI Computing Power Rental Major Product Offerings
        7.13.4 QingCloud Technologies AI Computing Power Rental Revenue in Global Market (2018-2023)
        7.13.5 QingCloud Technologies Key News & Latest Developments
    7.14 GCL Energy Technology
        7.14.1 GCL Energy Technology Company Summary
        7.14.2 GCL Energy Technology Business Overview
        7.14.3 GCL Energy Technology AI Computing Power Rental Major Product Offerings
        7.14.4 GCL Energy Technology AI Computing Power Rental Revenue in Global Market (2018-2023)
        7.14.5 GCL Energy Technology Key News & Latest Developments
    7.15 Nova Technology
        7.15.1 Nova Technology Company Summary
        7.15.2 Nova Technology Business Overview
        7.15.3 Nova Technology AI Computing Power Rental Major Product Offerings
        7.15.4 Nova Technology AI Computing Power Rental Revenue in Global Market (2018-2023)
        7.15.5 Nova Technology Key News & Latest Developments
    7.16 Runjian
        7.16.1 Runjian Company Summary
        7.16.2 Runjian Business Overview
        7.16.3 Runjian AI Computing Power Rental Major Product Offerings
        7.16.4 Runjian AI Computing Power Rental Revenue in Global Market (2018-2023)
        7.16.5 Runjian Key News & Latest Developments
8 Conclusion
9 Appendix
    9.1 Note
    9.2 Examples of Clients
    9.3 Disclaimer

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