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Machine Learning as a Service-Global Market Insights and Sales Trends 2025
Synopsis
Machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn" (e.g., progressively improve performance on a specific task) from data, without being explicitly programmed.
The global Machine Learning as a Service market size is expected to reach US$ 6871.1 million by 2029, growing at a CAGR of 21.8% from 2023 to 2029. The market is mainly driven by the significant applications of Machine Learning as a Service in various end use industries. The expanding demands from the Personal and Business, are propelling Machine Learning as a Service market. Private Clouds Machine Learning as a Service, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Public Clouds Machine Learning as a Service segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Machine Learning as a Service market, driven by demand from China, the second largest economy with some signs of stabilising, the Machine Learning as a Service market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Machine Learning as a Service, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Machine Learning as a Service market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Machine Learning as a Service market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Machine Learning as a Service sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Machine Learning as a Service covered in this report include Amazon, Oracle, IBM, Microsoftn, Google, Salesforce, Tencent, Alibaba and UCloud, etc.
The global Machine Learning as a Service market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Amazon
Oracle
IBM
Microsoftn
Google
Salesforce
Tencent
Alibaba
UCloud
Baidu
Rackspace
SAP AG
Century Link Inc.
CSC(Computer Science Corporation)
Heroku
Clustrix
Xeround
Global Machine Learning as a Service market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Machine Learning as a Service market, Segment by Type:
Private Clouds Machine Learning as a Service
Public Clouds Machine Learning as a Service
Hybrid Cloud Machine Learning as a Service
Global Machine Learning as a Service market, by Application
Personal
Business
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: 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 Three: 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 Four: Detailed analysis of Machine Learning as a Service companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
Machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn" (e.g., progressively improve performance on a specific task) from data, without being explicitly programmed.
The global Machine Learning as a Service market size is expected to reach US$ 6871.1 million by 2029, growing at a CAGR of 21.8% from 2023 to 2029. The market is mainly driven by the significant applications of Machine Learning as a Service in various end use industries. The expanding demands from the Personal and Business, are propelling Machine Learning as a Service market. Private Clouds Machine Learning as a Service, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Public Clouds Machine Learning as a Service segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Machine Learning as a Service market, driven by demand from China, the second largest economy with some signs of stabilising, the Machine Learning as a Service market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Machine Learning as a Service, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Machine Learning as a Service market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Machine Learning as a Service market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Machine Learning as a Service sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Machine Learning as a Service covered in this report include Amazon, Oracle, IBM, Microsoftn, Google, Salesforce, Tencent, Alibaba and UCloud, etc.
The global Machine Learning as a Service market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Amazon
Oracle
IBM
Microsoftn
Salesforce
Tencent
Alibaba
UCloud
Baidu
Rackspace
SAP AG
Century Link Inc.
CSC(Computer Science Corporation)
Heroku
Clustrix
Xeround
Global Machine Learning as a Service market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Machine Learning as a Service market, Segment by Type:
Private Clouds Machine Learning as a Service
Public Clouds Machine Learning as a Service
Hybrid Cloud Machine Learning as a Service
Global Machine Learning as a Service market, by Application
Personal
Business
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: 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 Three: 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 Four: Detailed analysis of Machine Learning as a Service companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
Index1 Market Overview of Machine Learning as a Service
1.1 Machine Learning as a Service Market Overview
1.1.1 Machine Learning as a Service Product Scope
1.1.2 Machine Learning as a Service Market Status and Outlook
1.2 Global Machine Learning as a Service Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Machine Learning as a Service Market Size by Region (2018-2029)
1.4 Global Machine Learning as a Service Historic Market Size by Region (2018-2023)
1.5 Global Machine Learning as a Service Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Machine Learning as a Service Market Size (2018-2029)
1.6.1 North America Machine Learning as a Service Market Size (2018-2029)
1.6.2 Europe Machine Learning as a Service Market Size (2018-2029)
1.6.3 Asia-Pacific Machine Learning as a Service Market Size (2018-2029)
1.6.4 Latin America Machine Learning as a Service Market Size (2018-2029)
1.6.5 Middle East & Africa Machine Learning as a Service Market Size (2018-2029)
2 Machine Learning as a Service Market by Type
2.1 Introduction
2.1.1 Private Clouds Machine Learning as a Service
2.1.2 Public Clouds Machine Learning as a Service
2.1.3 Hybrid Cloud Machine Learning as a Service
2.2 Global Machine Learning as a Service Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Machine Learning as a Service Historic Market Size by Type (2018-2023)
2.2.2 Global Machine Learning as a Service Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Machine Learning as a Service Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Machine Learning as a Service Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Machine Learning as a Service Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Machine Learning as a Service Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Machine Learning as a Service Revenue Breakdown by Type (2018-2029)
3 Machine Learning as a Service Market Overview by Application
3.1 Introduction
3.1.1 Personal
3.1.2 Business
3.2 Global Machine Learning as a Service Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Machine Learning as a Service Historic Market Size by Application (2018-2023)
3.2.2 Global Machine Learning as a Service Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Machine Learning as a Service Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Machine Learning as a Service Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Machine Learning as a Service Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Machine Learning as a Service Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Machine Learning as a Service Revenue Breakdown by Application (2018-2029)
4 Machine Learning as a Service Competition Analysis by Players
4.1 Global Machine Learning as a Service Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Machine Learning as a Service as of 2022)
4.3 Date of Key Players Enter into Machine Learning as a Service Market
4.4 Global Top Players Machine Learning as a Service Headquarters and Area Served
4.5 Key Players Machine Learning as a Service Product Solution and Service
4.6 Competitive Status
4.6.1 Machine Learning as a Service Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Amazon
5.1.1 Amazon Profile
5.1.2 Amazon Main Business
5.1.3 Amazon Machine Learning as a Service Products, Services and Solutions
5.1.4 Amazon Machine Learning as a Service Revenue (US$ Million) & (2018-2023)
5.1.5 Amazon Recent Developments
5.2 Oracle
5.2.1 Oracle Profile
5.2.2 Oracle Main Business
5.2.3 Oracle Machine Learning as a Service Products, Services and Solutions
5.2.4 Oracle Machine Learning as a Service Revenue (US$ Million) & (2018-2023)
5.2.5 Oracle Recent Developments
5.3 IBM
5.3.1 IBM Profile
5.3.2 IBM Main Business
5.3.3 IBM Machine Learning as a Service Products, Services and Solutions
5.3.4 IBM Machine Learning as a Service Revenue (US$ Million) & (2018-2023)
5.3.5 Microsoftn Recent Developments
5.4 Microsoftn
5.4.1 Microsoftn Profile
5.4.2 Microsoftn Main Business
5.4.3 Microsoftn Machine Learning as a Service Products, Services and Solutions
5.4.4 Microsoftn Machine Learning as a Service Revenue (US$ Million) & (2018-2023)
5.4.5 Microsoftn Recent Developments
5.5 Google
5.5.1 Google Profile
5.5.2 Google Main Business
5.5.3 Google Machine Learning as a Service Products, Services and Solutions
5.5.4 Google Machine Learning as a Service Revenue (US$ Million) & (2018-2023)
5.5.5 Google Recent Developments
5.6 Salesforce
5.6.1 Salesforce Profile
5.6.2 Salesforce Main Business
5.6.3 Salesforce Machine Learning as a Service Products, Services and Solutions
5.6.4 Salesforce Machine Learning as a Service Revenue (US$ Million) & (2018-2023)
5.6.5 Salesforce Recent Developments
5.7 Tencent
5.7.1 Tencent Profile
5.7.2 Tencent Main Business
5.7.3 Tencent Machine Learning as a Service Products, Services and Solutions
5.7.4 Tencent Machine Learning as a Service Revenue (US$ Million) & (2018-2023)
5.7.5 Tencent Recent Developments
5.8 Alibaba
5.8.1 Alibaba Profile
5.8.2 Alibaba Main Business
5.8.3 Alibaba Machine Learning as a Service Products, Services and Solutions
5.8.4 Alibaba Machine Learning as a Service Revenue (US$ Million) & (2018-2023)
5.8.5 Alibaba Recent Developments
5.9 UCloud
5.9.1 UCloud Profile
5.9.2 UCloud Main Business
5.9.3 UCloud Machine Learning as a Service Products, Services and Solutions
5.9.4 UCloud Machine Learning as a Service Revenue (US$ Million) & (2018-2023)
5.9.5 UCloud Recent Developments
5.10 Baidu
5.10.1 Baidu Profile
5.10.2 Baidu Main Business
5.10.3 Baidu Machine Learning as a Service Products, Services and Solutions
5.10.4 Baidu Machine Learning as a Service Revenue (US$ Million) & (2018-2023)
5.10.5 Baidu Recent Developments
5.11 Rackspace
5.11.1 Rackspace Profile
5.11.2 Rackspace Main Business
5.11.3 Rackspace Machine Learning as a Service Products, Services and Solutions
5.11.4 Rackspace Machine Learning as a Service Revenue (US$ Million) & (2018-2023)
5.11.5 Rackspace Recent Developments
5.12 SAP AG
5.12.1 SAP AG Profile
5.12.2 SAP AG Main Business
5.12.3 SAP AG Machine Learning as a Service Products, Services and Solutions
5.12.4 SAP AG Machine Learning as a Service Revenue (US$ Million) & (2018-2023)
5.12.5 SAP AG Recent Developments
5.13 Century Link Inc.
5.13.1 Century Link Inc. Profile
5.13.2 Century Link Inc. Main Business
5.13.3 Century Link Inc. Machine Learning as a Service Products, Services and Solutions
5.13.4 Century Link Inc. Machine Learning as a Service Revenue (US$ Million) & (2018-2023)
5.13.5 Century Link Inc. Recent Developments
5.14 CSC(Computer Science Corporation)
5.14.1 CSC(Computer Science Corporation) Profile
5.14.2 CSC(Computer Science Corporation) Main Business
5.14.3 CSC(Computer Science Corporation) Machine Learning as a Service Products, Services and Solutions
5.14.4 CSC(Computer Science Corporation) Machine Learning as a Service Revenue (US$ Million) & (2018-2023)
5.14.5 CSC(Computer Science Corporation) Recent Developments
5.15 Heroku
5.15.1 Heroku Profile
5.15.2 Heroku Main Business
5.15.3 Heroku Machine Learning as a Service Products, Services and Solutions
5.15.4 Heroku Machine Learning as a Service Revenue (US$ Million) & (2018-2023)
5.15.5 Heroku Recent Developments
5.16 Clustrix
5.16.1 Clustrix Profile
5.16.2 Clustrix Main Business
5.16.3 Clustrix Machine Learning as a Service Products, Services and Solutions
5.16.4 Clustrix Machine Learning as a Service Revenue (US$ Million) & (2018-2023)
5.16.5 Clustrix Recent Developments
5.17 Xeround
5.17.1 Xeround Profile
5.17.2 Xeround Main Business
5.17.3 Xeround Machine Learning as a Service Products, Services and Solutions
5.17.4 Xeround Machine Learning as a Service Revenue (US$ Million) & (2018-2023)
5.17.5 Xeround Recent Developments
6 North America
6.1 North America Machine Learning as a Service Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Machine Learning as a Service Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Machine Learning as a Service Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Machine Learning as a Service Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning as a Service Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Machine Learning as a Service Market Dynamics
11.1 Machine Learning as a Service Industry Trends
11.2 Machine Learning as a Service Market Drivers
11.3 Machine Learning as a Service Market Challenges
11.4 Machine Learning as a Service Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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