AI Supercomputing Cloud - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB510245455

Publication Date:

October 15, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for AI Supercomputing Cloud was estimated to be worth US$ 349630 million in 2023 and is forecast to a readjusted size of US$ 1452280 million by 2030 with a CAGR of 22.9% during the forecast period 2024-2030
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate 鈧�9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.124%, including software, hardware and services.
Report Scope
This report aims to provide a comprehensive presentation of the global market for AI Supercomputing Cloud, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of AI Supercomputing Cloud by region & country, by Type, and by Application.
The AI Supercomputing Cloud market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Supercomputing Cloud.
Market Segmentation
By Company
AWS
Oracle
Microsoft
IBM Cloud
Google Cloud
Paratera
Alibaba Cloud
HUAWEI Cloud
Tencent Cloud
Segment by Type:
Public Clouds
Private Clouds
Hybrid Clouds
Segment by Application
University
Institute of Science
Government
Enterprise
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of AI Supercomputing Cloud manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of AI Supercomputing Cloud in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of AI Supercomputing Cloud in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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

Table Of Contents:

1 Market Overview
1.1 AI Supercomputing Cloud Product Introduction
1.2 Global AI Supercomputing Cloud Market Size Forecast
1.3 AI Supercomputing Cloud Market Trends & Drivers
1.3.1 AI Supercomputing Cloud Industry Trends
1.3.2 AI Supercomputing Cloud Market Drivers & Opportunity
1.3.3 AI Supercomputing Cloud Market Challenges
1.3.4 AI Supercomputing Cloud Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global AI Supercomputing Cloud Players Revenue Ranking (2023)
2.2 Global AI Supercomputing Cloud Revenue by Company (2019-2024)
2.3 Key Companies AI Supercomputing Cloud Manufacturing Base Distribution and Headquarters
2.4 Key Companies AI Supercomputing Cloud Product Offered
2.5 Key Companies Time to Begin Mass Production of AI Supercomputing Cloud
2.6 AI Supercomputing Cloud Market Competitive Analysis
2.6.1 AI Supercomputing Cloud Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by AI Supercomputing Cloud Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI Supercomputing Cloud as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Public Clouds
3.1.2 Private Clouds
3.1.3 Hybrid Clouds
3.2 Global AI Supercomputing Cloud Sales Value by Type
3.2.1 Global AI Supercomputing Cloud Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global AI Supercomputing Cloud Sales Value, by Type (2019-2030)
3.2.3 Global AI Supercomputing Cloud Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 University
4.1.2 Institute of Science
4.1.3 Government
4.1.4 Enterprise
4.2 Global AI Supercomputing Cloud Sales Value by Application
4.2.1 Global AI Supercomputing Cloud Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global AI Supercomputing Cloud Sales Value, by Application (2019-2030)
4.2.3 Global AI Supercomputing Cloud Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global AI Supercomputing Cloud Sales Value by Region
5.1.1 Global AI Supercomputing Cloud Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global AI Supercomputing Cloud Sales Value by Region (2019-2024)
5.1.3 Global AI Supercomputing Cloud Sales Value by Region (2025-2030)
5.1.4 Global AI Supercomputing Cloud Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America AI Supercomputing Cloud Sales Value, 2019-2030
5.2.2 North America AI Supercomputing Cloud Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe AI Supercomputing Cloud Sales Value, 2019-2030
5.3.2 Europe AI Supercomputing Cloud Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific AI Supercomputing Cloud Sales Value, 2019-2030
5.4.2 Asia Pacific AI Supercomputing Cloud Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America AI Supercomputing Cloud Sales Value, 2019-2030
5.5.2 South America AI Supercomputing Cloud Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI Supercomputing Cloud Sales Value, 2019-2030
5.6.2 Middle East & Africa AI Supercomputing Cloud Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI Supercomputing Cloud Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions AI Supercomputing Cloud Sales Value
6.3 United States
6.3.1 United States AI Supercomputing Cloud Sales Value, 2019-2030
6.3.2 United States AI Supercomputing Cloud Sales Value by Type (%), 2023 VS 2030
6.3.3 United States AI Supercomputing Cloud Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe AI Supercomputing Cloud Sales Value, 2019-2030
6.4.2 Europe AI Supercomputing Cloud Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe AI Supercomputing Cloud Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China AI Supercomputing Cloud Sales Value, 2019-2030
6.5.2 China AI Supercomputing Cloud Sales Value by Type (%), 2023 VS 2030
6.5.3 China AI Supercomputing Cloud Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan AI Supercomputing Cloud Sales Value, 2019-2030
6.6.2 Japan AI Supercomputing Cloud Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan AI Supercomputing Cloud Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea AI Supercomputing Cloud Sales Value, 2019-2030
6.7.2 South Korea AI Supercomputing Cloud Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea AI Supercomputing Cloud Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia AI Supercomputing Cloud Sales Value, 2019-2030
6.8.2 Southeast Asia AI Supercomputing Cloud Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia AI Supercomputing Cloud Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India AI Supercomputing Cloud Sales Value, 2019-2030
6.9.2 India AI Supercomputing Cloud Sales Value by Type (%), 2023 VS 2030
6.9.3 India AI Supercomputing Cloud Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 AWS
7.1.1 AWS Profile
7.1.2 AWS Main Business
7.1.3 AWS AI Supercomputing Cloud Products, Services and Solutions
7.1.4 AWS AI Supercomputing Cloud Revenue (US$ Million) & (2019-2024)
7.1.5 AWS Recent Developments
7.2 Oracle
7.2.1 Oracle Profile
7.2.2 Oracle Main Business
7.2.3 Oracle AI Supercomputing Cloud Products, Services and Solutions
7.2.4 Oracle AI Supercomputing Cloud Revenue (US$ Million) & (2019-2024)
7.2.5 Oracle Recent Developments
7.3 Microsoft
7.3.1 Microsoft Profile
7.3.2 Microsoft Main Business
7.3.3 Microsoft AI Supercomputing Cloud Products, Services and Solutions
7.3.4 Microsoft AI Supercomputing Cloud Revenue (US$ Million) & (2019-2024)
7.3.5 IBM Cloud Recent Developments
7.4 IBM Cloud
7.4.1 IBM Cloud Profile
7.4.2 IBM Cloud Main Business
7.4.3 IBM Cloud AI Supercomputing Cloud Products, Services and Solutions
7.4.4 IBM Cloud AI Supercomputing Cloud Revenue (US$ Million) & (2019-2024)
7.4.5 IBM Cloud Recent Developments
7.5 Google Cloud
7.5.1 Google Cloud Profile
7.5.2 Google Cloud Main Business
7.5.3 Google Cloud AI Supercomputing Cloud Products, Services and Solutions
7.5.4 Google Cloud AI Supercomputing Cloud Revenue (US$ Million) & (2019-2024)
7.5.5 Google Cloud Recent Developments
7.6 Paratera
7.6.1 Paratera Profile
7.6.2 Paratera Main Business
7.6.3 Paratera AI Supercomputing Cloud Products, Services and Solutions
7.6.4 Paratera AI Supercomputing Cloud Revenue (US$ Million) & (2019-2024)
7.6.5 Paratera Recent Developments
7.7 Alibaba Cloud
7.7.1 Alibaba Cloud Profile
7.7.2 Alibaba Cloud Main Business
7.7.3 Alibaba Cloud AI Supercomputing Cloud Products, Services and Solutions
7.7.4 Alibaba Cloud AI Supercomputing Cloud Revenue (US$ Million) & (2019-2024)
7.7.5 Alibaba Cloud Recent Developments
7.8 HUAWEI Cloud
7.8.1 HUAWEI Cloud Profile
7.8.2 HUAWEI Cloud Main Business
7.8.3 HUAWEI Cloud AI Supercomputing Cloud Products, Services and Solutions
7.8.4 HUAWEI Cloud AI Supercomputing Cloud Revenue (US$ Million) & (2019-2024)
7.8.5 HUAWEI Cloud Recent Developments
7.9 Tencent Cloud
7.9.1 Tencent Cloud Profile
7.9.2 Tencent Cloud Main Business
7.9.3 Tencent Cloud AI Supercomputing Cloud Products, Services and Solutions
7.9.4 Tencent Cloud AI Supercomputing Cloud Revenue (US$ Million) & (2019-2024)
7.9.5 Tencent Cloud Recent Developments
8 Industry Chain Analysis
8.1 AI Supercomputing Cloud Industrial Chain
8.2 AI Supercomputing Cloud Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 AI Supercomputing Cloud Sales Model
8.5.2 Sales Channel
8.5.3 AI Supercomputing Cloud Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

AWS
Oracle
Microsoft
IBM Cloud
Google Cloud
Paratera
Alibaba Cloud
HUAWEI Cloud
Tencent Cloud

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