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Global Machine Learning as a Service (MLaaS) Market Research Report 2025
Synopsis
Machine Learning is a multidisciplinary interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines.
The global Machine Learning as a Service (MLaaS) market was valued at US$ 2044.1 million in 2023 and is anticipated to reach US$ 8369 million by 2030, witnessing a CAGR of 21.8% during the forecast period 2024-2030.
North America is projected to grow at the highest rate during the forecast period.
This report aims to provide a comprehensive presentation of the global market for Machine Learning as a Service (MLaaS), 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 as a Service (MLaaS).
Report Scope
The Machine Learning as a Service (MLaaS) 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 as a Service (MLaaS) 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 as a Service (MLaaS) 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
Oracle
IBM
Microsoftn
Google
Salesforce
Tencent
Alibaba
UCloud
Baidu
Rackspace
SAP AG
Century Link Inc.
CSC (Computer Science Corporation)
Heroku
Clustrix
Xeround
Segment by Type
Private Clouds
Public Clouds
Hybrid Clouds
Segment by Application
Personal
Business
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 as a Service (MLaaS) 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.
Machine Learning is a multidisciplinary interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines.
The global Machine Learning as a Service (MLaaS) market was valued at US$ 2044.1 million in 2023 and is anticipated to reach US$ 8369 million by 2030, witnessing a CAGR of 21.8% during the forecast period 2024-2030.
North America is projected to grow at the highest rate during the forecast period.
This report aims to provide a comprehensive presentation of the global market for Machine Learning as a Service (MLaaS), 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 as a Service (MLaaS).
Report Scope
The Machine Learning as a Service (MLaaS) 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 as a Service (MLaaS) 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 as a Service (MLaaS) 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
Oracle
IBM
Microsoftn
Salesforce
Tencent
Alibaba
UCloud
Baidu
Rackspace
SAP AG
Century Link Inc.
CSC (Computer Science Corporation)
Heroku
Clustrix
Xeround
Segment by Type
Private Clouds
Public Clouds
Hybrid Clouds
Segment by Application
Personal
Business
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 as a Service (MLaaS) 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 as a Service (MLaaS) Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Private Clouds
1.2.3 Public Clouds
1.2.4 Hybrid Clouds
1.3 Market by Application
1.3.1 Global Machine Learning as a Service (MLaaS) Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Personal
1.3.3 Business
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning as a Service (MLaaS) Market Perspective (2019-2030)
2.2 Machine Learning as a Service (MLaaS) Growth Trends by Region
2.2.1 Global Machine Learning as a Service (MLaaS) Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Machine Learning as a Service (MLaaS) Historic Market Size by Region (2019-2024)
2.2.3 Machine Learning as a Service (MLaaS) Forecasted Market Size by Region (2025-2030)
2.3 Machine Learning as a Service (MLaaS) Market Dynamics
2.3.1 Machine Learning as a Service (MLaaS) Industry Trends
2.3.2 Machine Learning as a Service (MLaaS) Market Drivers
2.3.3 Machine Learning as a Service (MLaaS) Market Challenges
2.3.4 Machine Learning as a Service (MLaaS) Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine Learning as a Service (MLaaS) Players by Revenue
3.1.1 Global Top Machine Learning as a Service (MLaaS) Players by Revenue (2019-2024)
3.1.2 Global Machine Learning as a Service (MLaaS) Revenue Market Share by Players (2019-2024)
3.2 Global Machine Learning as a Service (MLaaS) Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Machine Learning as a Service (MLaaS) Revenue
3.4 Global Machine Learning as a Service (MLaaS) Market Concentration Ratio
3.4.1 Global Machine Learning as a Service (MLaaS) Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning as a Service (MLaaS) Revenue in 2023
3.5 Machine Learning as a Service (MLaaS) Key Players Head office and Area Served
3.6 Key Players Machine Learning as a Service (MLaaS) Product Solution and Service
3.7 Date of Enter into Machine Learning as a Service (MLaaS) Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning as a Service (MLaaS) Breakdown Data by Type
4.1 Global Machine Learning as a Service (MLaaS) Historic Market Size by Type (2019-2024)
4.2 Global Machine Learning as a Service (MLaaS) Forecasted Market Size by Type (2025-2030)
5 Machine Learning as a Service (MLaaS) Breakdown Data by Application
5.1 Global Machine Learning as a Service (MLaaS) Historic Market Size by Application (2019-2024)
5.2 Global Machine Learning as a Service (MLaaS) Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Machine Learning as a Service (MLaaS) Market Size (2019-2030)
6.2 North America Machine Learning as a Service (MLaaS) Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Machine Learning as a Service (MLaaS) Market Size by Country (2019-2024)
6.4 North America Machine Learning as a Service (MLaaS) Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Learning as a Service (MLaaS) Market Size (2019-2030)
7.2 Europe Machine Learning as a Service (MLaaS) Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Machine Learning as a Service (MLaaS) Market Size by Country (2019-2024)
7.4 Europe Machine Learning as a Service (MLaaS) 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 as a Service (MLaaS) Market Size (2019-2030)
8.2 Asia-Pacific Machine Learning as a Service (MLaaS) Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Machine Learning as a Service (MLaaS) Market Size by Region (2019-2024)
8.4 Asia-Pacific Machine Learning as a Service (MLaaS) 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 as a Service (MLaaS) Market Size (2019-2030)
9.2 Latin America Machine Learning as a Service (MLaaS) Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Machine Learning as a Service (MLaaS) Market Size by Country (2019-2024)
9.4 Latin America Machine Learning as a Service (MLaaS) Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning as a Service (MLaaS) Market Size (2019-2030)
10.2 Middle East & Africa Machine Learning as a Service (MLaaS) Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Machine Learning as a Service (MLaaS) Market Size by Country (2019-2024)
10.4 Middle East & Africa Machine Learning as a Service (MLaaS) Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Amazon
11.1.1 Amazon Company Detail
11.1.2 Amazon Business Overview
11.1.3 Amazon Machine Learning as a Service (MLaaS) Introduction
11.1.4 Amazon Revenue in Machine Learning as a Service (MLaaS) Business (2019-2024)
11.1.5 Amazon Recent Development
11.2 Oracle
11.2.1 Oracle Company Detail
11.2.2 Oracle Business Overview
11.2.3 Oracle Machine Learning as a Service (MLaaS) Introduction
11.2.4 Oracle Revenue in Machine Learning as a Service (MLaaS) Business (2019-2024)
11.2.5 Oracle Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM Machine Learning as a Service (MLaaS) Introduction
11.3.4 IBM Revenue in Machine Learning as a Service (MLaaS) Business (2019-2024)
11.3.5 IBM Recent Development
11.4 Microsoftn
11.4.1 Microsoftn Company Detail
11.4.2 Microsoftn Business Overview
11.4.3 Microsoftn Machine Learning as a Service (MLaaS) Introduction
11.4.4 Microsoftn Revenue in Machine Learning as a Service (MLaaS) Business (2019-2024)
11.4.5 Microsoftn Recent Development
11.5 Google
11.5.1 Google Company Detail
11.5.2 Google Business Overview
11.5.3 Google Machine Learning as a Service (MLaaS) Introduction
11.5.4 Google Revenue in Machine Learning as a Service (MLaaS) Business (2019-2024)
11.5.5 Google Recent Development
11.6 Salesforce
11.6.1 Salesforce Company Detail
11.6.2 Salesforce Business Overview
11.6.3 Salesforce Machine Learning as a Service (MLaaS) Introduction
11.6.4 Salesforce Revenue in Machine Learning as a Service (MLaaS) Business (2019-2024)
11.6.5 Salesforce Recent Development
11.7 Tencent
11.7.1 Tencent Company Detail
11.7.2 Tencent Business Overview
11.7.3 Tencent Machine Learning as a Service (MLaaS) Introduction
11.7.4 Tencent Revenue in Machine Learning as a Service (MLaaS) Business (2019-2024)
11.7.5 Tencent Recent Development
11.8 Alibaba
11.8.1 Alibaba Company Detail
11.8.2 Alibaba Business Overview
11.8.3 Alibaba Machine Learning as a Service (MLaaS) Introduction
11.8.4 Alibaba Revenue in Machine Learning as a Service (MLaaS) Business (2019-2024)
11.8.5 Alibaba Recent Development
11.9 UCloud
11.9.1 UCloud Company Detail
11.9.2 UCloud Business Overview
11.9.3 UCloud Machine Learning as a Service (MLaaS) Introduction
11.9.4 UCloud Revenue in Machine Learning as a Service (MLaaS) Business (2019-2024)
11.9.5 UCloud Recent Development
11.10 Baidu
11.10.1 Baidu Company Detail
11.10.2 Baidu Business Overview
11.10.3 Baidu Machine Learning as a Service (MLaaS) Introduction
11.10.4 Baidu Revenue in Machine Learning as a Service (MLaaS) Business (2019-2024)
11.10.5 Baidu Recent Development
11.11 Rackspace
11.11.1 Rackspace Company Detail
11.11.2 Rackspace Business Overview
11.11.3 Rackspace Machine Learning as a Service (MLaaS) Introduction
11.11.4 Rackspace Revenue in Machine Learning as a Service (MLaaS) Business (2019-2024)
11.11.5 Rackspace Recent Development
11.12 SAP AG
11.12.1 SAP AG Company Detail
11.12.2 SAP AG Business Overview
11.12.3 SAP AG Machine Learning as a Service (MLaaS) Introduction
11.12.4 SAP AG Revenue in Machine Learning as a Service (MLaaS) Business (2019-2024)
11.12.5 SAP AG Recent Development
11.13 Century Link Inc.
11.13.1 Century Link Inc. Company Detail
11.13.2 Century Link Inc. Business Overview
11.13.3 Century Link Inc. Machine Learning as a Service (MLaaS) Introduction
11.13.4 Century Link Inc. Revenue in Machine Learning as a Service (MLaaS) Business (2019-2024)
11.13.5 Century Link Inc. Recent Development
11.14 CSC (Computer Science Corporation)
11.14.1 CSC (Computer Science Corporation) Company Detail
11.14.2 CSC (Computer Science Corporation) Business Overview
11.14.3 CSC (Computer Science Corporation) Machine Learning as a Service (MLaaS) Introduction
11.14.4 CSC (Computer Science Corporation) Revenue in Machine Learning as a Service (MLaaS) Business (2019-2024)
11.14.5 CSC (Computer Science Corporation) Recent Development
11.15 Heroku
11.15.1 Heroku Company Detail
11.15.2 Heroku Business Overview
11.15.3 Heroku Machine Learning as a Service (MLaaS) Introduction
11.15.4 Heroku Revenue in Machine Learning as a Service (MLaaS) Business (2019-2024)
11.15.5 Heroku Recent Development
11.16 Clustrix
11.16.1 Clustrix Company Detail
11.16.2 Clustrix Business Overview
11.16.3 Clustrix Machine Learning as a Service (MLaaS) Introduction
11.16.4 Clustrix Revenue in Machine Learning as a Service (MLaaS) Business (2019-2024)
11.16.5 Clustrix Recent Development
11.17 Xeround
11.17.1 Xeround Company Detail
11.17.2 Xeround Business Overview
11.17.3 Xeround Machine Learning as a Service (MLaaS) Introduction
11.17.4 Xeround Revenue in Machine Learning as a Service (MLaaS) Business (2019-2024)
11.17.5 Xeround 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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