Global GPU Cloud Computing 麻豆原创 Research Report 2023

Publication ID:

PB504241040

Publication Date:

May 9, 2023

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Highlights
The global GPU Cloud Computing market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for GPU Cloud Computing is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for GPU Cloud Computing is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for GPU Cloud Computing in Machine Learning is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of GPU Cloud Computing include Tencent, LeaderTelecom, Alibaba, Google, NVDIA, Exoscale, XRCLOUD.NET, Genesis Cloud and Lambda, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for GPU Cloud Computing, 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 GPU Cloud Computing.
The GPU Cloud Computing market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global GPU Cloud Computing 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 GPU Cloud Computing 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.
By Company
Tencent
LeaderTelecom
Alibaba
Google
NVDIA
Exoscale
XRCLOUD.NET
Genesis Cloud
Lambda
IBM
Amazon
Segment by Type
CVM
VPC
Segment by Application
Machine Learning
Virtual Workstations
High Performance Compute
Internet of Things
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
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, 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 GPU Cloud Computing 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 key companies in the market in detail, including product revenue, 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 GPU Cloud Computing 麻豆原创 Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 CVM
1.2.3 VPC
1.3 麻豆原创 by Application
1.3.1 Global GPU Cloud Computing 麻豆原创 Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Machine Learning
1.3.3 Virtual Workstations
1.3.4 High Performance Compute
1.3.5 Internet of Things
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global GPU Cloud Computing 麻豆原创 Perspective (2018-2029)
2.2 GPU Cloud Computing Growth Trends by Region
2.2.1 Global GPU Cloud Computing 麻豆原创 Size by Region: 2018 VS 2022 VS 2029
2.2.2 GPU Cloud Computing Historic 麻豆原创 Size by Region (2018-2023)
2.2.3 GPU Cloud Computing Forecasted 麻豆原创 Size by Region (2024-2029)
2.3 GPU Cloud Computing 麻豆原创 Dynamics
2.3.1 GPU Cloud Computing Industry Trends
2.3.2 GPU Cloud Computing 麻豆原创 Drivers
2.3.3 GPU Cloud Computing 麻豆原创 Challenges
2.3.4 GPU Cloud Computing 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top GPU Cloud Computing Players by Revenue
3.1.1 Global Top GPU Cloud Computing Players by Revenue (2018-2023)
3.1.2 Global GPU Cloud Computing Revenue 麻豆原创 Share by Players (2018-2023)
3.2 Global GPU Cloud Computing 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by GPU Cloud Computing Revenue
3.4 Global GPU Cloud Computing 麻豆原创 Concentration Ratio
3.4.1 Global GPU Cloud Computing 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by GPU Cloud Computing Revenue in 2022
3.5 GPU Cloud Computing Key Players Head office and Area Served
3.6 Key Players GPU Cloud Computing Product Solution and Service
3.7 Date of Enter into GPU Cloud Computing 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 GPU Cloud Computing Breakdown Data by Type
4.1 Global GPU Cloud Computing Historic 麻豆原创 Size by Type (2018-2023)
4.2 Global GPU Cloud Computing Forecasted 麻豆原创 Size by Type (2024-2029)
5 GPU Cloud Computing Breakdown Data by Application
5.1 Global GPU Cloud Computing Historic 麻豆原创 Size by Application (2018-2023)
5.2 Global GPU Cloud Computing Forecasted 麻豆原创 Size by Application (2024-2029)
6 North America
6.1 North America GPU Cloud Computing 麻豆原创 Size (2018-2029)
6.2 North America GPU Cloud Computing 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America GPU Cloud Computing 麻豆原创 Size by Country (2018-2023)
6.4 North America GPU Cloud Computing 麻豆原创 Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe GPU Cloud Computing 麻豆原创 Size (2018-2029)
7.2 Europe GPU Cloud Computing 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe GPU Cloud Computing 麻豆原创 Size by Country (2018-2023)
7.4 Europe GPU Cloud Computing 麻豆原创 Size by Country (2024-2029)
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 GPU Cloud Computing 麻豆原创 Size (2018-2029)
8.2 Asia-Pacific GPU Cloud Computing 麻豆原创 Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific GPU Cloud Computing 麻豆原创 Size by Region (2018-2023)
8.4 Asia-Pacific GPU Cloud Computing 麻豆原创 Size by Region (2024-2029)
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 GPU Cloud Computing 麻豆原创 Size (2018-2029)
9.2 Latin America GPU Cloud Computing 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America GPU Cloud Computing 麻豆原创 Size by Country (2018-2023)
9.4 Latin America GPU Cloud Computing 麻豆原创 Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa GPU Cloud Computing 麻豆原创 Size (2018-2029)
10.2 Middle East & Africa GPU Cloud Computing 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa GPU Cloud Computing 麻豆原创 Size by Country (2018-2023)
10.4 Middle East & Africa GPU Cloud Computing 麻豆原创 Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Tencent
11.1.1 Tencent Company Detail
11.1.2 Tencent Business Overview
11.1.3 Tencent GPU Cloud Computing Introduction
11.1.4 Tencent Revenue in GPU Cloud Computing Business (2018-2023)
11.1.5 Tencent Recent Development
11.2 LeaderTelecom
11.2.1 LeaderTelecom Company Detail
11.2.2 LeaderTelecom Business Overview
11.2.3 LeaderTelecom GPU Cloud Computing Introduction
11.2.4 LeaderTelecom Revenue in GPU Cloud Computing Business (2018-2023)
11.2.5 LeaderTelecom Recent Development
11.3 Alibaba
11.3.1 Alibaba Company Detail
11.3.2 Alibaba Business Overview
11.3.3 Alibaba GPU Cloud Computing Introduction
11.3.4 Alibaba Revenue in GPU Cloud Computing Business (2018-2023)
11.3.5 Alibaba Recent Development
11.4 Google
11.4.1 Google Company Detail
11.4.2 Google Business Overview
11.4.3 Google GPU Cloud Computing Introduction
11.4.4 Google Revenue in GPU Cloud Computing Business (2018-2023)
11.4.5 Google Recent Development
11.5 NVDIA
11.5.1 NVDIA Company Detail
11.5.2 NVDIA Business Overview
11.5.3 NVDIA GPU Cloud Computing Introduction
11.5.4 NVDIA Revenue in GPU Cloud Computing Business (2018-2023)
11.5.5 NVDIA Recent Development
11.6 Exoscale
11.6.1 Exoscale Company Detail
11.6.2 Exoscale Business Overview
11.6.3 Exoscale GPU Cloud Computing Introduction
11.6.4 Exoscale Revenue in GPU Cloud Computing Business (2018-2023)
11.6.5 Exoscale Recent Development
11.7 XRCLOUD.NET
11.7.1 XRCLOUD.NET Company Detail
11.7.2 XRCLOUD.NET Business Overview
11.7.3 XRCLOUD.NET GPU Cloud Computing Introduction
11.7.4 XRCLOUD.NET Revenue in GPU Cloud Computing Business (2018-2023)
11.7.5 XRCLOUD.NET Recent Development
11.8 Genesis Cloud
11.8.1 Genesis Cloud Company Detail
11.8.2 Genesis Cloud Business Overview
11.8.3 Genesis Cloud GPU Cloud Computing Introduction
11.8.4 Genesis Cloud Revenue in GPU Cloud Computing Business (2018-2023)
11.8.5 Genesis Cloud Recent Development
11.9 Lambda
11.9.1 Lambda Company Detail
11.9.2 Lambda Business Overview
11.9.3 Lambda GPU Cloud Computing Introduction
11.9.4 Lambda Revenue in GPU Cloud Computing Business (2018-2023)
11.9.5 Lambda Recent Development
11.10 IBM
11.10.1 IBM Company Detail
11.10.2 IBM Business Overview
11.10.3 IBM GPU Cloud Computing Introduction
11.10.4 IBM Revenue in GPU Cloud Computing Business (2018-2023)
11.10.5 IBM Recent Development
11.11 Amazon
11.11.1 Amazon Company Detail
11.11.2 Amazon Business Overview
11.11.3 Amazon GPU Cloud Computing Introduction
11.11.4 Amazon Revenue in GPU Cloud Computing Business (2018-2023)
11.11.5 Amazon 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:

Tencent
LeaderTelecom
Alibaba
Google
NVDIA
Exoscale
XRCLOUD.NET
Genesis Cloud
Lambda
IBM
Amazon

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