Global Computing Power Leasing Platform 麻豆原创 Research Report 2024

Publication ID:

PB510243181

Publication Date:

October 2, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The computing power rental platform is a cloud-based digital infrastructure service designed to provide efficient and stable computing resources for all walks of life by integrating computing resources around the world. The computing power rental platform allows users to rent computing power from remote servers over the Internet to complete computing tasks. Users do not need to buy and maintain physical hardware, can obtain the required computing resources, so as to adapt to the rapid development of artificial intelligence, big data and other technologies brought about by the growth of computing power demand. This service model provides users with a flexible, scalable and cost-effective computing resource solution.
The global Computing Power Leasing Platform 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 Computing Power Leasing Platform 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 Computing Power Leasing Platform 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 Computing Power Leasing Platform in Finance 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 Computing Power Leasing Platform include Azure, IBM, Featurize, Amazon, Alibaba Cloud, Baidu, Oracle, GCL New Energy, Nanling Technology, Houde Cloud, 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 Computing Power Leasing Platform, 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.
The Computing Power Leasing Platform market size, estimations, and forecasts are provided in terms of and 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 Computing Power Leasing Platform 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 Computing Power Leasing Platform companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
Azure
IBM
Featurize
Amazon
Alibaba Cloud
Baidu
Oracle
GCL New Energy
Nanling Technology
Houde Cloud
Jiyun Cloud
Lettall Electronic
Beijing Ebtech
OneThing
Segment by Type
GPU
CPU
Segment by Application
Finance
Medical
Autonomous Driving
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
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 Computing Power Leasing Platform company 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 麻豆原创 Analysis by Type
1.2.1 Global Computing Power Leasing Platform 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 GPU
1.2.3 CPU
1.3 麻豆原创 by Application
1.3.1 Global Computing Power Leasing Platform 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Finance
1.3.3 Medical
1.3.4 Autonomous Driving
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Computing Power Leasing Platform 麻豆原创 Perspective (2019-2030)
2.2 Global Computing Power Leasing Platform Growth Trends by Region
2.2.1 Global Computing Power Leasing Platform 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Computing Power Leasing Platform Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Computing Power Leasing Platform Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Computing Power Leasing Platform 麻豆原创 Dynamics
2.3.1 Computing Power Leasing Platform Industry Trends
2.3.2 Computing Power Leasing Platform 麻豆原创 Drivers
2.3.3 Computing Power Leasing Platform 麻豆原创 Challenges
2.3.4 Computing Power Leasing Platform 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Computing Power Leasing Platform Players by Revenue
3.1.1 Global Top Computing Power Leasing Platform Players by Revenue (2019-2024)
3.1.2 Global Computing Power Leasing Platform Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Computing Power Leasing Platform 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Computing Power Leasing Platform Revenue
3.4 Global Computing Power Leasing Platform 麻豆原创 Concentration Ratio
3.4.1 Global Computing Power Leasing Platform 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Computing Power Leasing Platform Revenue in 2023
3.5 Global Key Players of Computing Power Leasing Platform Head office and Area Served
3.6 Global Key Players of Computing Power Leasing Platform, Product and Application
3.7 Global Key Players of Computing Power Leasing Platform, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Computing Power Leasing Platform Breakdown Data by Type
4.1 Global Computing Power Leasing Platform Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Computing Power Leasing Platform Forecasted 麻豆原创 Size by Type (2025-2030)
5 Computing Power Leasing Platform Breakdown Data by Application
5.1 Global Computing Power Leasing Platform Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Computing Power Leasing Platform Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Computing Power Leasing Platform 麻豆原创 Size (2019-2030)
6.2 North America Computing Power Leasing Platform 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Computing Power Leasing Platform 麻豆原创 Size by Country (2019-2024)
6.4 North America Computing Power Leasing Platform 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Computing Power Leasing Platform 麻豆原创 Size (2019-2030)
7.2 Europe Computing Power Leasing Platform 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Computing Power Leasing Platform 麻豆原创 Size by Country (2019-2024)
7.4 Europe Computing Power Leasing Platform 麻豆原创 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 Computing Power Leasing Platform 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific Computing Power Leasing Platform 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Computing Power Leasing Platform 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific Computing Power Leasing Platform 麻豆原创 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 Computing Power Leasing Platform 麻豆原创 Size (2019-2030)
9.2 Latin America Computing Power Leasing Platform 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Computing Power Leasing Platform 麻豆原创 Size by Country (2019-2024)
9.4 Latin America Computing Power Leasing Platform 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Computing Power Leasing Platform 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa Computing Power Leasing Platform 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Computing Power Leasing Platform 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa Computing Power Leasing Platform 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Azure
11.1.1 Azure Company Details
11.1.2 Azure Business Overview
11.1.3 Azure Computing Power Leasing Platform Introduction
11.1.4 Azure Revenue in Computing Power Leasing Platform Business (2019-2024)
11.1.5 Azure Recent Development
11.2 IBM
11.2.1 IBM Company Details
11.2.2 IBM Business Overview
11.2.3 IBM Computing Power Leasing Platform Introduction
11.2.4 IBM Revenue in Computing Power Leasing Platform Business (2019-2024)
11.2.5 IBM Recent Development
11.3 Featurize
11.3.1 Featurize Company Details
11.3.2 Featurize Business Overview
11.3.3 Featurize Computing Power Leasing Platform Introduction
11.3.4 Featurize Revenue in Computing Power Leasing Platform Business (2019-2024)
11.3.5 Featurize Recent Development
11.4 Amazon
11.4.1 Amazon Company Details
11.4.2 Amazon Business Overview
11.4.3 Amazon Computing Power Leasing Platform Introduction
11.4.4 Amazon Revenue in Computing Power Leasing Platform Business (2019-2024)
11.4.5 Amazon Recent Development
11.5 Alibaba Cloud
11.5.1 Alibaba Cloud Company Details
11.5.2 Alibaba Cloud Business Overview
11.5.3 Alibaba Cloud Computing Power Leasing Platform Introduction
11.5.4 Alibaba Cloud Revenue in Computing Power Leasing Platform Business (2019-2024)
11.5.5 Alibaba Cloud Recent Development
11.6 Baidu
11.6.1 Baidu Company Details
11.6.2 Baidu Business Overview
11.6.3 Baidu Computing Power Leasing Platform Introduction
11.6.4 Baidu Revenue in Computing Power Leasing Platform Business (2019-2024)
11.6.5 Baidu Recent Development
11.7 Oracle
11.7.1 Oracle Company Details
11.7.2 Oracle Business Overview
11.7.3 Oracle Computing Power Leasing Platform Introduction
11.7.4 Oracle Revenue in Computing Power Leasing Platform Business (2019-2024)
11.7.5 Oracle Recent Development
11.8 GCL New Energy
11.8.1 GCL New Energy Company Details
11.8.2 GCL New Energy Business Overview
11.8.3 GCL New Energy Computing Power Leasing Platform Introduction
11.8.4 GCL New Energy Revenue in Computing Power Leasing Platform Business (2019-2024)
11.8.5 GCL New Energy Recent Development
11.9 Nanling Technology
11.9.1 Nanling Technology Company Details
11.9.2 Nanling Technology Business Overview
11.9.3 Nanling Technology Computing Power Leasing Platform Introduction
11.9.4 Nanling Technology Revenue in Computing Power Leasing Platform Business (2019-2024)
11.9.5 Nanling Technology Recent Development
11.10 Houde Cloud
11.10.1 Houde Cloud Company Details
11.10.2 Houde Cloud Business Overview
11.10.3 Houde Cloud Computing Power Leasing Platform Introduction
11.10.4 Houde Cloud Revenue in Computing Power Leasing Platform Business (2019-2024)
11.10.5 Houde Cloud Recent Development
11.11 Jiyun Cloud
11.11.1 Jiyun Cloud Company Details
11.11.2 Jiyun Cloud Business Overview
11.11.3 Jiyun Cloud Computing Power Leasing Platform Introduction
11.11.4 Jiyun Cloud Revenue in Computing Power Leasing Platform Business (2019-2024)
11.11.5 Jiyun Cloud Recent Development
11.12 Lettall Electronic
11.12.1 Lettall Electronic Company Details
11.12.2 Lettall Electronic Business Overview
11.12.3 Lettall Electronic Computing Power Leasing Platform Introduction
11.12.4 Lettall Electronic Revenue in Computing Power Leasing Platform Business (2019-2024)
11.12.5 Lettall Electronic Recent Development
11.13 Beijing Ebtech
11.13.1 Beijing Ebtech Company Details
11.13.2 Beijing Ebtech Business Overview
11.13.3 Beijing Ebtech Computing Power Leasing Platform Introduction
11.13.4 Beijing Ebtech Revenue in Computing Power Leasing Platform Business (2019-2024)
11.13.5 Beijing Ebtech Recent Development
11.14 OneThing
11.14.1 OneThing Company Details
11.14.2 OneThing Business Overview
11.14.3 OneThing Computing Power Leasing Platform Introduction
11.14.4 OneThing Revenue in Computing Power Leasing Platform Business (2019-2024)
11.14.5 OneThing Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Azure
IBM
Featurize
Amazon
Alibaba Cloud
Baidu
Oracle
GCL New Energy
Nanling Technology
Houde Cloud
Jiyun Cloud
Lettall Electronic
Beijing Ebtech
OneThing

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.