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Global Machine Learning Infrastructure as a Service Market Research Report 2024
Synopsis
The global Machine Learning Infrastructure as a Service 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 Machine Learning Infrastructure as a Service 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 Machine Learning Infrastructure as a Service 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 Machine Learning Infrastructure as a Service in Retail 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 Machine Learning Infrastructure as a Service include Amazon Web Services (AWS), Google, Valohai, Microsoft, VMware, Inc and PyTorch, 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 Machine Learning Infrastructure as a Service, 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 Machine Learning Infrastructure as a Service.
Report Scope
The Machine Learning Infrastructure as a Service market size, estimations, and forecasts are provided in terms of 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 Machine Learning Infrastructure as a Service 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 Machine Learning Infrastructure as a Service companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Amazon Web Services (AWS)
Google
Valohai
Microsoft
VMware, Inc
PyTorch
Segment by Type
Disaster Recovery as a Service (DRaaS)
Compute as a Service (CaaS)
Data Center as a Service (DCaaS)
Desktop as a Service (DaaS)
Storage as a Service (STaaS)
Segment by Application
Retail
Logistics
Telecommunications
Others
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
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 Machine Learning Infrastructure as a Service companies’ 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.
The global Machine Learning Infrastructure as a Service 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 Machine Learning Infrastructure as a Service 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 Machine Learning Infrastructure as a Service 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 Machine Learning Infrastructure as a Service in Retail 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 Machine Learning Infrastructure as a Service include Amazon Web Services (AWS), Google, Valohai, Microsoft, VMware, Inc and PyTorch, 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 Machine Learning Infrastructure as a Service, 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 Machine Learning Infrastructure as a Service.
Report Scope
The Machine Learning Infrastructure as a Service market size, estimations, and forecasts are provided in terms of 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 Machine Learning Infrastructure as a Service 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 Machine Learning Infrastructure as a Service companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Amazon Web Services (AWS)
Valohai
Microsoft
VMware, Inc
PyTorch
Segment by Type
Disaster Recovery as a Service (DRaaS)
Compute as a Service (CaaS)
Data Center as a Service (DCaaS)
Desktop as a Service (DaaS)
Storage as a Service (STaaS)
Segment by Application
Retail
Logistics
Telecommunications
Others
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
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 Machine Learning Infrastructure as a Service companies’ 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.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine Learning Infrastructure as a Service Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Disaster Recovery as a Service (DRaaS)
1.2.3 Compute as a Service (CaaS)
1.2.4 Data Center as a Service (DCaaS)
1.2.5 Desktop as a Service (DaaS)
1.2.6 Storage as a Service (STaaS)
1.3 Market by Application
1.3.1 Global Machine Learning Infrastructure as a Service Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Retail
1.3.3 Logistics
1.3.4 Telecommunications
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning Infrastructure as a Service Market Perspective (2019-2030)
2.2 Machine Learning Infrastructure as a Service Growth Trends by Region
2.2.1 Global Machine Learning Infrastructure as a Service Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Machine Learning Infrastructure as a Service Historic Market Size by Region (2019-2024)
2.2.3 Machine Learning Infrastructure as a Service Forecasted Market Size by Region (2025-2030)
2.3 Machine Learning Infrastructure as a Service Market Dynamics
2.3.1 Machine Learning Infrastructure as a Service Industry Trends
2.3.2 Machine Learning Infrastructure as a Service Market Drivers
2.3.3 Machine Learning Infrastructure as a Service Market Challenges
2.3.4 Machine Learning Infrastructure as a Service Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine Learning Infrastructure as a Service Players by Revenue
3.1.1 Global Top Machine Learning Infrastructure as a Service Players by Revenue (2019-2024)
3.1.2 Global Machine Learning Infrastructure as a Service Revenue Market Share by Players (2019-2024)
3.2 Global Machine Learning Infrastructure as a Service Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Machine Learning Infrastructure as a Service Revenue
3.4 Global Machine Learning Infrastructure as a Service Market Concentration Ratio
3.4.1 Global Machine Learning Infrastructure as a Service Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning Infrastructure as a Service Revenue in 2023
3.5 Machine Learning Infrastructure as a Service Key Players Head office and Area Served
3.6 Key Players Machine Learning Infrastructure as a Service Product Solution and Service
3.7 Date of Enter into Machine Learning Infrastructure as a Service Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning Infrastructure as a Service Breakdown Data by Type
4.1 Global Machine Learning Infrastructure as a Service Historic Market Size by Type (2019-2024)
4.2 Global Machine Learning Infrastructure as a Service Forecasted Market Size by Type (2025-2030)
5 Machine Learning Infrastructure as a Service Breakdown Data by Application
5.1 Global Machine Learning Infrastructure as a Service Historic Market Size by Application (2019-2024)
5.2 Global Machine Learning Infrastructure as a Service Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Machine Learning Infrastructure as a Service Market Size (2019-2030)
6.2 North America Machine Learning Infrastructure as a Service Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Machine Learning Infrastructure as a Service Market Size by Country (2019-2024)
6.4 North America Machine Learning Infrastructure as a Service Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Learning Infrastructure as a Service Market Size (2019-2030)
7.2 Europe Machine Learning Infrastructure as a Service Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Machine Learning Infrastructure as a Service Market Size by Country (2019-2024)
7.4 Europe Machine Learning Infrastructure as a Service Market 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 Machine Learning Infrastructure as a Service Market Size (2019-2030)
8.2 Asia-Pacific Machine Learning Infrastructure as a Service Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Machine Learning Infrastructure as a Service Market Size by Region (2019-2024)
8.4 Asia-Pacific Machine Learning Infrastructure as a Service Market 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 Machine Learning Infrastructure as a Service Market Size (2019-2030)
9.2 Latin America Machine Learning Infrastructure as a Service Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Machine Learning Infrastructure as a Service Market Size by Country (2019-2024)
9.4 Latin America Machine Learning Infrastructure as a Service Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning Infrastructure as a Service Market Size (2019-2030)
10.2 Middle East & Africa Machine Learning Infrastructure as a Service Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Machine Learning Infrastructure as a Service Market Size by Country (2019-2024)
10.4 Middle East & Africa Machine Learning Infrastructure as a Service Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Amazon Web Services (AWS)
11.1.1 Amazon Web Services (AWS) Company Detail
11.1.2 Amazon Web Services (AWS) Business Overview
11.1.3 Amazon Web Services (AWS) Machine Learning Infrastructure as a Service Introduction
11.1.4 Amazon Web Services (AWS) Revenue in Machine Learning Infrastructure as a Service Business (2019-2024)
11.1.5 Amazon Web Services (AWS) Recent Development
11.2 Google
11.2.1 Google Company Detail
11.2.2 Google Business Overview
11.2.3 Google Machine Learning Infrastructure as a Service Introduction
11.2.4 Google Revenue in Machine Learning Infrastructure as a Service Business (2019-2024)
11.2.5 Google Recent Development
11.3 Valohai
11.3.1 Valohai Company Detail
11.3.2 Valohai Business Overview
11.3.3 Valohai Machine Learning Infrastructure as a Service Introduction
11.3.4 Valohai Revenue in Machine Learning Infrastructure as a Service Business (2019-2024)
11.3.5 Valohai Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Machine Learning Infrastructure as a Service Introduction
11.4.4 Microsoft Revenue in Machine Learning Infrastructure as a Service Business (2019-2024)
11.4.5 Microsoft Recent Development
11.5 VMware, Inc
11.5.1 VMware, Inc Company Detail
11.5.2 VMware, Inc Business Overview
11.5.3 VMware, Inc Machine Learning Infrastructure as a Service Introduction
11.5.4 VMware, Inc Revenue in Machine Learning Infrastructure as a Service Business (2019-2024)
11.5.5 VMware, Inc Recent Development
11.6 PyTorch
11.6.1 PyTorch Company Detail
11.6.2 PyTorch Business Overview
11.6.3 PyTorch Machine Learning Infrastructure as a Service Introduction
11.6.4 PyTorch Revenue in Machine Learning Infrastructure as a Service Business (2019-2024)
11.6.5 PyTorch 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
Published By : QY Research
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