Global Intelligent Computing Power Scheduling Platform Market Growth (Status and Outlook) 2025-2031

Publication ID:

LPI08251335

Publication Date:

August 4, 2025

Pages:

156

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

IT Services [2]

Software [3]

Computing & Electronics [4]

Description:

According to this study, the global Intelligent Computing Power Scheduling Platform market size will reach US$ 4437 million by 2031.
The intelligent computing power scheduling platform refers to a resource scheduling management system based on artificial intelligence, big data analysis and intelligent optimization algorithms, which realizes unified access, dynamic allocation, elastic scaling and efficient utilization of multi-source heterogeneous computing resources (such as GPU, CPU, FPGA, edge nodes, etc.). The platform improves the utilization rate of computing power resources and reduces energy consumption costs through intelligent task identification, resource matching and automatic scheduling mechanisms. It is widely used in complex computing power scenarios such as cloud computing, AI training and reasoning, large model services, and edge computing.
United States market for Intelligent Computing Power Scheduling Platform is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
China market for Intelligent Computing Power Scheduling Platform is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Europe market for Intelligent Computing Power Scheduling Platform is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Global key Intelligent Computing Power Scheduling Platform players cover Amazon Web Services, Microsoft, Google, Graphcore, Hugging Face, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.
The 鈥淚ntelligent Computing Power Scheduling Platform Industry Forecast鈥� looks at past sales and reviews total world Intelligent Computing Power Scheduling Platform sales in 2024, providing a comprehensive analysis by region and market sector of projected Intelligent Computing Power Scheduling Platform sales for 2025 through 2031. With Intelligent Computing Power Scheduling Platform sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Intelligent Computing Power Scheduling Platform industry.
This Insight Report provides a comprehensive analysis of the global Intelligent Computing Power Scheduling Platform landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Intelligent Computing Power Scheduling Platform portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global Intelligent Computing Power Scheduling Platform market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Intelligent Computing Power Scheduling Platform and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Intelligent Computing Power Scheduling Platform.
This report presents a comprehensive overview, market shares, and growth opportunities of Intelligent Computing Power Scheduling Platform market by product type, application, key players and key regions and countries.
Segmentation by Type:
Local Deployment
Cloud Native
Others
Segmentation by Application:
Artificial Intelligence Industry
In-Vehicle Intelligence Industry
Financial Industry
Industrial Manufacturing
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Amazon Web Services
Microsoft
Google
Graphcore
Hugging Face
OpenAI
MosaicML
Rescale
Altair
VirtAI Tech
Transwarp Technology
YUSUR Technology
Alibaba Cloud Computing
Huawei
Inspur
4Paradigm
SenseTime
MiaoRu Technology
Jiangxing Intelligence
DeepBrain AI
Luchen Technology

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

Table Of Contents:

1 Scope of the Report
1.1 Market Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 Market Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 Market Estimation Caveats
2 Executive Summary
2.1 World Market Overview
2.1.1 Global Intelligent Computing Power Scheduling Platform Market Size (2020-2031)
2.1.2 Intelligent Computing Power Scheduling Platform Market Size CAGR by Region (2020 VS 2024 VS 2031)
2.1.3 World Current & Future Analysis for Intelligent Computing Power Scheduling Platform by Country/Region (2020, 2024 & 2031)
2.2 Intelligent Computing Power Scheduling Platform Segment by Type
2.2.1 Local Deployment
2.2.2 Cloud Native
2.2.3 Others
2.3 Intelligent Computing Power Scheduling Platform Market Size by Type
2.3.1 Intelligent Computing Power Scheduling Platform Market Size CAGR by Type (2020 VS 2024 VS 2031)
2.3.2 Global Intelligent Computing Power Scheduling Platform Market Size Market Share by Type (2020-2025)
2.4 Intelligent Computing Power Scheduling Platform Segment by Application
2.4.1 Artificial Intelligence Industry
2.4.2 In-Vehicle Intelligence Industry
2.4.3 Financial Industry
2.4.4 Industrial Manufacturing
2.4.5 Others
2.5 Intelligent Computing Power Scheduling Platform Market Size by Application
2.5.1 Intelligent Computing Power Scheduling Platform Market Size CAGR by Application (2020 VS 2024 VS 2031)
2.5.2 Global Intelligent Computing Power Scheduling Platform Market Size Market Share by Application (2020-2025)
3 Intelligent Computing Power Scheduling Platform Market Size by Player
3.1 Intelligent Computing Power Scheduling Platform Market Size Market Share by Player
3.1.1 Global Intelligent Computing Power Scheduling Platform Revenue by Player (2020-2025)
3.1.2 Global Intelligent Computing Power Scheduling Platform Revenue Market Share by Player (2020-2025)
3.2 Global Intelligent Computing Power Scheduling Platform Key Players Head office and Products Offered
3.3 Market Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2023-2025)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Intelligent Computing Power Scheduling Platform by Region
4.1 Intelligent Computing Power Scheduling Platform Market Size by Region (2020-2025)
4.2 Global Intelligent Computing Power Scheduling Platform Annual Revenue by Country/Region (2020-2025)
4.3 Americas Intelligent Computing Power Scheduling Platform Market Size Growth (2020-2025)
4.4 APAC Intelligent Computing Power Scheduling Platform Market Size Growth (2020-2025)
4.5 Europe Intelligent Computing Power Scheduling Platform Market Size Growth (2020-2025)
4.6 Middle East & Africa Intelligent Computing Power Scheduling Platform Market Size Growth (2020-2025)
5 Americas
5.1 Americas Intelligent Computing Power Scheduling Platform Market Size by Country (2020-2025)
5.2 Americas Intelligent Computing Power Scheduling Platform Market Size by Type (2020-2025)
5.3 Americas Intelligent Computing Power Scheduling Platform Market Size by Application (2020-2025)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Intelligent Computing Power Scheduling Platform Market Size by Region (2020-2025)
6.2 APAC Intelligent Computing Power Scheduling Platform Market Size by Type (2020-2025)
6.3 APAC Intelligent Computing Power Scheduling Platform Market Size by Application (2020-2025)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Intelligent Computing Power Scheduling Platform Market Size by Country (2020-2025)
7.2 Europe Intelligent Computing Power Scheduling Platform Market Size by Type (2020-2025)
7.3 Europe Intelligent Computing Power Scheduling Platform Market Size by Application (2020-2025)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Intelligent Computing Power Scheduling Platform by Region (2020-2025)
8.2 Middle East & Africa Intelligent Computing Power Scheduling Platform Market Size by Type (2020-2025)
8.3 Middle East & Africa Intelligent Computing Power Scheduling Platform Market Size by Application (2020-2025)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 Market Drivers, Challenges and Trends
9.1 Market Drivers & Growth Opportunities
9.2 Market Challenges & Risks
9.3 Industry Trends
10 Global Intelligent Computing Power Scheduling Platform Market Forecast
10.1 Global Intelligent Computing Power Scheduling Platform Forecast by Region (2026-2031)
10.1.1 Global Intelligent Computing Power Scheduling Platform Forecast by Region (2026-2031)
10.1.2 Americas Intelligent Computing Power Scheduling Platform Forecast
10.1.3 APAC Intelligent Computing Power Scheduling Platform Forecast
10.1.4 Europe Intelligent Computing Power Scheduling Platform Forecast
10.1.5 Middle East & Africa Intelligent Computing Power Scheduling Platform Forecast
10.2 Americas Intelligent Computing Power Scheduling Platform Forecast by Country (2026-2031)
10.2.1 United States Market Intelligent Computing Power Scheduling Platform Forecast
10.2.2 Canada Market Intelligent Computing Power Scheduling Platform Forecast
10.2.3 Mexico Market Intelligent Computing Power Scheduling Platform Forecast
10.2.4 Brazil Market Intelligent Computing Power Scheduling Platform Forecast
10.3 APAC Intelligent Computing Power Scheduling Platform Forecast by Region (2026-2031)
10.3.1 China Intelligent Computing Power Scheduling Platform Market Forecast
10.3.2 Japan Market Intelligent Computing Power Scheduling Platform Forecast
10.3.3 Korea Market Intelligent Computing Power Scheduling Platform Forecast
10.3.4 Southeast Asia Market Intelligent Computing Power Scheduling Platform Forecast
10.3.5 India Market Intelligent Computing Power Scheduling Platform Forecast
10.3.6 Australia Market Intelligent Computing Power Scheduling Platform Forecast
10.4 Europe Intelligent Computing Power Scheduling Platform Forecast by Country (2026-2031)
10.4.1 Germany Market Intelligent Computing Power Scheduling Platform Forecast
10.4.2 France Market Intelligent Computing Power Scheduling Platform Forecast
10.4.3 UK Market Intelligent Computing Power Scheduling Platform Forecast
10.4.4 Italy Market Intelligent Computing Power Scheduling Platform Forecast
10.4.5 Russia Market Intelligent Computing Power Scheduling Platform Forecast
10.5 Middle East & Africa Intelligent Computing Power Scheduling Platform Forecast by Region (2026-2031)
10.5.1 Egypt Market Intelligent Computing Power Scheduling Platform Forecast
10.5.2 South Africa Market Intelligent Computing Power Scheduling Platform Forecast
10.5.3 Israel Market Intelligent Computing Power Scheduling Platform Forecast
10.5.4 Turkey Market Intelligent Computing Power Scheduling Platform Forecast
10.6 Global Intelligent Computing Power Scheduling Platform Forecast by Type (2026-2031)
10.7 Global Intelligent Computing Power Scheduling Platform Forecast by Application (2026-2031)
10.7.1 GCC Countries Market Intelligent Computing Power Scheduling Platform Forecast
11 Key Players Analysis
11.1 Amazon Web Services
11.1.1 Amazon Web Services Company Information
11.1.2 Amazon Web Services Intelligent Computing Power Scheduling Platform Product Offered
11.1.3 Amazon Web Services Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.1.4 Amazon Web Services Main Business Overview
11.1.5 Amazon Web Services Latest Developments
11.2 Microsoft
11.2.1 Microsoft Company Information
11.2.2 Microsoft Intelligent Computing Power Scheduling Platform Product Offered
11.2.3 Microsoft Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.2.4 Microsoft Main Business Overview
11.2.5 Microsoft Latest Developments
11.3 Google
11.3.1 Google Company Information
11.3.2 Google Intelligent Computing Power Scheduling Platform Product Offered
11.3.3 Google Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.3.4 Google Main Business Overview
11.3.5 Google Latest Developments
11.4 Graphcore
11.4.1 Graphcore Company Information
11.4.2 Graphcore Intelligent Computing Power Scheduling Platform Product Offered
11.4.3 Graphcore Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.4.4 Graphcore Main Business Overview
11.4.5 Graphcore Latest Developments
11.5 Hugging Face
11.5.1 Hugging Face Company Information
11.5.2 Hugging Face Intelligent Computing Power Scheduling Platform Product Offered
11.5.3 Hugging Face Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.5.4 Hugging Face Main Business Overview
11.5.5 Hugging Face Latest Developments
11.6 OpenAI
11.6.1 OpenAI Company Information
11.6.2 OpenAI Intelligent Computing Power Scheduling Platform Product Offered
11.6.3 OpenAI Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.6.4 OpenAI Main Business Overview
11.6.5 OpenAI Latest Developments
11.7 MosaicML
11.7.1 MosaicML Company Information
11.7.2 MosaicML Intelligent Computing Power Scheduling Platform Product Offered
11.7.3 MosaicML Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.7.4 MosaicML Main Business Overview
11.7.5 MosaicML Latest Developments
11.8 Rescale
11.8.1 Rescale Company Information
11.8.2 Rescale Intelligent Computing Power Scheduling Platform Product Offered
11.8.3 Rescale Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.8.4 Rescale Main Business Overview
11.8.5 Rescale Latest Developments
11.9 Altair
11.9.1 Altair Company Information
11.9.2 Altair Intelligent Computing Power Scheduling Platform Product Offered
11.9.3 Altair Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.9.4 Altair Main Business Overview
11.9.5 Altair Latest Developments
11.10 VirtAI Tech
11.10.1 VirtAI Tech Company Information
11.10.2 VirtAI Tech Intelligent Computing Power Scheduling Platform Product Offered
11.10.3 VirtAI Tech Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.10.4 VirtAI Tech Main Business Overview
11.10.5 VirtAI Tech Latest Developments
11.11 Transwarp Technology
11.11.1 Transwarp Technology Company Information
11.11.2 Transwarp Technology Intelligent Computing Power Scheduling Platform Product Offered
11.11.3 Transwarp Technology Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.11.4 Transwarp Technology Main Business Overview
11.11.5 Transwarp Technology Latest Developments
11.12 YUSUR Technology
11.12.1 YUSUR Technology Company Information
11.12.2 YUSUR Technology Intelligent Computing Power Scheduling Platform Product Offered
11.12.3 YUSUR Technology Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.12.4 YUSUR Technology Main Business Overview
11.12.5 YUSUR Technology Latest Developments
11.13 Alibaba Cloud Computing
11.13.1 Alibaba Cloud Computing Company Information
11.13.2 Alibaba Cloud Computing Intelligent Computing Power Scheduling Platform Product Offered
11.13.3 Alibaba Cloud Computing Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.13.4 Alibaba Cloud Computing Main Business Overview
11.13.5 Alibaba Cloud Computing Latest Developments
11.14 Huawei
11.14.1 Huawei Company Information
11.14.2 Huawei Intelligent Computing Power Scheduling Platform Product Offered
11.14.3 Huawei Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.14.4 Huawei Main Business Overview
11.14.5 Huawei Latest Developments
11.15 Inspur
11.15.1 Inspur Company Information
11.15.2 Inspur Intelligent Computing Power Scheduling Platform Product Offered
11.15.3 Inspur Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.15.4 Inspur Main Business Overview
11.15.5 Inspur Latest Developments
11.16 4Paradigm
11.16.1 4Paradigm Company Information
11.16.2 4Paradigm Intelligent Computing Power Scheduling Platform Product Offered
11.16.3 4Paradigm Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.16.4 4Paradigm Main Business Overview
11.16.5 4Paradigm Latest Developments
11.17 SenseTime
11.17.1 SenseTime Company Information
11.17.2 SenseTime Intelligent Computing Power Scheduling Platform Product Offered
11.17.3 SenseTime Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.17.4 SenseTime Main Business Overview
11.17.5 SenseTime Latest Developments
11.18 MiaoRu Technology
11.18.1 MiaoRu Technology Company Information
11.18.2 MiaoRu Technology Intelligent Computing Power Scheduling Platform Product Offered
11.18.3 MiaoRu Technology Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.18.4 MiaoRu Technology Main Business Overview
11.18.5 MiaoRu Technology Latest Developments
11.19 Jiangxing Intelligence
11.19.1 Jiangxing Intelligence Company Information
11.19.2 Jiangxing Intelligence Intelligent Computing Power Scheduling Platform Product Offered
11.19.3 Jiangxing Intelligence Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.19.4 Jiangxing Intelligence Main Business Overview
11.19.5 Jiangxing Intelligence Latest Developments
11.20 DeepBrain AI
11.20.1 DeepBrain AI Company Information
11.20.2 DeepBrain AI Intelligent Computing Power Scheduling Platform Product Offered
11.20.3 DeepBrain AI Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.20.4 DeepBrain AI Main Business Overview
11.20.5 DeepBrain AI Latest Developments
11.21 Luchen Technology
11.21.1 Luchen Technology Company Information
11.21.2 Luchen Technology Intelligent Computing Power Scheduling Platform Product Offered
11.21.3 Luchen Technology Intelligent Computing Power Scheduling Platform Revenue, Gross Margin and Market Share (2020-2025)
11.21.4 Luchen Technology Main Business Overview
11.21.5 Luchen Technology Latest Developments
12 Research Findings and Conclusion

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.

91制片厂