The global market for Machine Learning Infrastructure as a Service was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
North American market for Machine Learning Infrastructure as a Service was valued at $ million in 2023 and will 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 was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Machine Learning Infrastructure as a Service was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Machine Learning Infrastructure as a Service include Amazon Web Services (AWS), Google, Valohai, Microsoft, VMware, Inc and PyTorch, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Machine Learning Infrastructure as a Service, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Machine Learning Infrastructure as a Service by region & country, by Type, and by Application.
The Machine Learning Infrastructure as a Service 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 Machine Learning Infrastructure as a Service.
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
U.S.
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
U.A.E
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 Machine Learning Infrastructure as a Service 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 Machine Learning Infrastructure as a Service 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 Machine Learning Infrastructure as a Service 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.
1 Market Overview
1.1 Machine Learning Infrastructure as a Service Product Introduction
1.2 Global Machine Learning Infrastructure as a Service Market Size Forecast
1.3 Machine Learning Infrastructure as a Service Market Trends & Drivers
1.3.1 Machine Learning Infrastructure as a Service Industry Trends
1.3.2 Machine Learning Infrastructure as a Service Market Drivers & Opportunity
1.3.3 Machine Learning Infrastructure as a Service Market Challenges
1.3.4 Machine Learning Infrastructure as a Service Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Machine Learning Infrastructure as a Service Players Revenue Ranking (2023)
2.2 Global Machine Learning Infrastructure as a Service Revenue by Company (2019-2024)
2.3 Key Companies Machine Learning Infrastructure as a Service Manufacturing Base Distribution and Headquarters
2.4 Key Companies Machine Learning Infrastructure as a Service Product Offered
2.5 Key Companies Time to Begin Mass Production of Machine Learning Infrastructure as a Service
2.6 Machine Learning Infrastructure as a Service Market Competitive Analysis
2.6.1 Machine Learning Infrastructure as a Service Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Machine Learning Infrastructure as a Service Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Machine Learning Infrastructure as a Service as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Disaster Recovery as a Service (DRaaS)
3.1.2 Compute as a Service (CaaS)
3.1.3 Data Center as a Service (DCaaS)
3.1.4 Desktop as a Service (DaaS)
3.1.5 Storage as a Service (STaaS)
3.2 Global Machine Learning Infrastructure as a Service Sales Value by Type
3.2.1 Global Machine Learning Infrastructure as a Service Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Machine Learning Infrastructure as a Service Sales Value, by Type (2019-2030)
3.2.3 Global Machine Learning Infrastructure as a Service Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Retail
4.1.2 Logistics
4.1.3 Telecommunications
4.1.4 Others
4.2 Global Machine Learning Infrastructure as a Service Sales Value by Application
4.2.1 Global Machine Learning Infrastructure as a Service Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Machine Learning Infrastructure as a Service Sales Value, by Application (2019-2030)
4.2.3 Global Machine Learning Infrastructure as a Service Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Machine Learning Infrastructure as a Service Sales Value by Region
5.1.1 Global Machine Learning Infrastructure as a Service Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Machine Learning Infrastructure as a Service Sales Value by Region (2019-2024)
5.1.3 Global Machine Learning Infrastructure as a Service Sales Value by Region (2025-2030)
5.1.4 Global Machine Learning Infrastructure as a Service Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Machine Learning Infrastructure as a Service Sales Value, 2019-2030
5.2.2 North America Machine Learning Infrastructure as a Service Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Machine Learning Infrastructure as a Service Sales Value, 2019-2030
5.3.2 Europe Machine Learning Infrastructure as a Service Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Machine Learning Infrastructure as a Service Sales Value, 2019-2030
5.4.2 Asia Pacific Machine Learning Infrastructure as a Service Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Machine Learning Infrastructure as a Service Sales Value, 2019-2030
5.5.2 South America Machine Learning Infrastructure as a Service Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Machine Learning Infrastructure as a Service Sales Value, 2019-2030
5.6.2 Middle East & Africa Machine Learning Infrastructure as a Service Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Machine Learning Infrastructure as a Service Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Machine Learning Infrastructure as a Service Sales Value
6.3 United States
6.3.1 United States Machine Learning Infrastructure as a Service Sales Value, 2019-2030
6.3.2 United States Machine Learning Infrastructure as a Service Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Machine Learning Infrastructure as a Service Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Machine Learning Infrastructure as a Service Sales Value, 2019-2030
6.4.2 Europe Machine Learning Infrastructure as a Service Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Machine Learning Infrastructure as a Service Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Machine Learning Infrastructure as a Service Sales Value, 2019-2030
6.5.2 China Machine Learning Infrastructure as a Service Sales Value by Type (%), 2023 VS 2030
6.5.3 China Machine Learning Infrastructure as a Service Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Machine Learning Infrastructure as a Service Sales Value, 2019-2030
6.6.2 Japan Machine Learning Infrastructure as a Service Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Machine Learning Infrastructure as a Service Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Machine Learning Infrastructure as a Service Sales Value, 2019-2030
6.7.2 South Korea Machine Learning Infrastructure as a Service Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Machine Learning Infrastructure as a Service Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Machine Learning Infrastructure as a Service Sales Value, 2019-2030
6.8.2 Southeast Asia Machine Learning Infrastructure as a Service Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Machine Learning Infrastructure as a Service Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Machine Learning Infrastructure as a Service Sales Value, 2019-2030
6.9.2 India Machine Learning Infrastructure as a Service Sales Value by Type (%), 2023 VS 2030
6.9.3 India Machine Learning Infrastructure as a Service Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Amazon Web Services (AWS)
7.1.1 Amazon Web Services (AWS) Profile
7.1.2 Amazon Web Services (AWS) Main Business
7.1.3 Amazon Web Services (AWS) Machine Learning Infrastructure as a Service Products, Services and Solutions
7.1.4 Amazon Web Services (AWS) Machine Learning Infrastructure as a Service Revenue (US$ Million) & (2019-2024)
7.1.5 Amazon Web Services (AWS) Recent Developments
7.2 Google
7.2.1 Google Profile
7.2.2 Google Main Business
7.2.3 Google Machine Learning Infrastructure as a Service Products, Services and Solutions
7.2.4 Google Machine Learning Infrastructure as a Service Revenue (US$ Million) & (2019-2024)
7.2.5 Google Recent Developments
7.3 Valohai
7.3.1 Valohai Profile
7.3.2 Valohai Main Business
7.3.3 Valohai Machine Learning Infrastructure as a Service Products, Services and Solutions
7.3.4 Valohai Machine Learning Infrastructure as a Service Revenue (US$ Million) & (2019-2024)
7.3.5 Microsoft Recent Developments
7.4 Microsoft
7.4.1 Microsoft Profile
7.4.2 Microsoft Main Business
7.4.3 Microsoft Machine Learning Infrastructure as a Service Products, Services and Solutions
7.4.4 Microsoft Machine Learning Infrastructure as a Service Revenue (US$ Million) & (2019-2024)
7.4.5 Microsoft Recent Developments
7.5 VMware, Inc
7.5.1 VMware, Inc Profile
7.5.2 VMware, Inc Main Business
7.5.3 VMware, Inc Machine Learning Infrastructure as a Service Products, Services and Solutions
7.5.4 VMware, Inc Machine Learning Infrastructure as a Service Revenue (US$ Million) & (2019-2024)
7.5.5 VMware, Inc Recent Developments
7.6 PyTorch
7.6.1 PyTorch Profile
7.6.2 PyTorch Main Business
7.6.3 PyTorch Machine Learning Infrastructure as a Service Products, Services and Solutions
7.6.4 PyTorch Machine Learning Infrastructure as a Service Revenue (US$ Million) & (2019-2024)
7.6.5 PyTorch Recent Developments
8 Industry Chain Analysis
8.1 Machine Learning Infrastructure as a Service Industrial Chain
8.2 Machine Learning Infrastructure as a Service 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 Machine Learning Infrastructure as a Service Sales Model
8.5.2 Sales Channel
8.5.3 Machine Learning Infrastructure as a Service 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
Amazon Web Services (AWS)
Google
Valohai
Microsoft
VMware, Inc
PyTorch
听
听
*If Applicable.
