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Machine Learning as a Service (MLaaS)-Global Market Insights and Sales Trends 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 size is expected to reach US$ 8369 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 (MLaaS) in various end use industries. The expanding demands from the Personal and Business, are propelling Machine Learning as a Service (MLaaS) market. Private Clouds, 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 segment is estimated at % CAGR for the next seven-year period.
North America is projected to grow at the highest rate during the forecast 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 (MLaaS), 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 (MLaaS) 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 (MLaaS) market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Machine Learning as a Service (MLaaS) 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 (MLaaS) covered in this report include Amazon, Oracle, IBM, Microsoftn, Google, Salesforce, Tencent, Alibaba and UCloud, etc.
The global Machine Learning as a Service (MLaaS) 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 (MLaaS) 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 (MLaaS) market, Segment by Type:
Private Clouds
Public Clouds
Hybrid Clouds
Global Machine Learning as a Service (MLaaS) 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 (MLaaS) 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 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 size is expected to reach US$ 8369 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 (MLaaS) in various end use industries. The expanding demands from the Personal and Business, are propelling Machine Learning as a Service (MLaaS) market. Private Clouds, 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 segment is estimated at % CAGR for the next seven-year period.
North America is projected to grow at the highest rate during the forecast 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 (MLaaS), 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 (MLaaS) 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 (MLaaS) market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Machine Learning as a Service (MLaaS) 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 (MLaaS) covered in this report include Amazon, Oracle, IBM, Microsoftn, Google, Salesforce, Tencent, Alibaba and UCloud, etc.
The global Machine Learning as a Service (MLaaS) 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 (MLaaS) 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 (MLaaS) market, Segment by Type:
Private Clouds
Public Clouds
Hybrid Clouds
Global Machine Learning as a Service (MLaaS) 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 (MLaaS) 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 (MLaaS)
1.1 Machine Learning as a Service (MLaaS) Market Overview
1.1.1 Machine Learning as a Service (MLaaS) Product Scope
1.1.2 Machine Learning as a Service (MLaaS) Market Status and Outlook
1.2 Global Machine Learning as a Service (MLaaS) Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Machine Learning as a Service (MLaaS) Market Size by Region (2018-2029)
1.4 Global Machine Learning as a Service (MLaaS) Historic Market Size by Region (2018-2023)
1.5 Global Machine Learning as a Service (MLaaS) Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Machine Learning as a Service (MLaaS) Market Size (2018-2029)
1.6.1 North America Machine Learning as a Service (MLaaS) Market Size (2018-2029)
1.6.2 Europe Machine Learning as a Service (MLaaS) Market Size (2018-2029)
1.6.3 Asia-Pacific Machine Learning as a Service (MLaaS) Market Size (2018-2029)
1.6.4 Latin America Machine Learning as a Service (MLaaS) Market Size (2018-2029)
1.6.5 Middle East & Africa Machine Learning as a Service (MLaaS) Market Size (2018-2029)
2 Machine Learning as a Service (MLaaS) Market by Type
2.1 Introduction
2.1.1 Private Clouds
2.1.2 Public Clouds
2.1.3 Hybrid Clouds
2.2 Global Machine Learning as a Service (MLaaS) Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Machine Learning as a Service (MLaaS) Historic Market Size by Type (2018-2023)
2.2.2 Global Machine Learning as a Service (MLaaS) 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 (MLaaS) Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Machine Learning as a Service (MLaaS) Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Machine Learning as a Service (MLaaS) Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Machine Learning as a Service (MLaaS) Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Machine Learning as a Service (MLaaS) Revenue Breakdown by Type (2018-2029)
3 Machine Learning as a Service (MLaaS) Market Overview by Application
3.1 Introduction
3.1.1 Personal
3.1.2 Business
3.2 Global Machine Learning as a Service (MLaaS) Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Machine Learning as a Service (MLaaS) Historic Market Size by Application (2018-2023)
3.2.2 Global Machine Learning as a Service (MLaaS) 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 (MLaaS) Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Machine Learning as a Service (MLaaS) Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Machine Learning as a Service (MLaaS) Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Machine Learning as a Service (MLaaS) Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Machine Learning as a Service (MLaaS) Revenue Breakdown by Application (2018-2029)
4 Machine Learning as a Service (MLaaS) Competition Analysis by Players
4.1 Global Machine Learning as a Service (MLaaS) 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 (MLaaS) as of 2022)
4.3 Date of Key Players Enter into Machine Learning as a Service (MLaaS) Market
4.4 Global Top Players Machine Learning as a Service (MLaaS) Headquarters and Area Served
4.5 Key Players Machine Learning as a Service (MLaaS) Product Solution and Service
4.6 Competitive Status
4.6.1 Machine Learning as a Service (MLaaS) 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 (MLaaS) Products, Services and Solutions
5.1.4 Amazon Machine Learning as a Service (MLaaS) 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 (MLaaS) Products, Services and Solutions
5.2.4 Oracle Machine Learning as a Service (MLaaS) 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 (MLaaS) Products, Services and Solutions
5.3.4 IBM Machine Learning as a Service (MLaaS) 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 (MLaaS) Products, Services and Solutions
5.4.4 Microsoftn Machine Learning as a Service (MLaaS) 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 (MLaaS) Products, Services and Solutions
5.5.4 Google Machine Learning as a Service (MLaaS) 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 (MLaaS) Products, Services and Solutions
5.6.4 Salesforce Machine Learning as a Service (MLaaS) 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 (MLaaS) Products, Services and Solutions
5.7.4 Tencent Machine Learning as a Service (MLaaS) 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 (MLaaS) Products, Services and Solutions
5.8.4 Alibaba Machine Learning as a Service (MLaaS) 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 (MLaaS) Products, Services and Solutions
5.9.4 UCloud Machine Learning as a Service (MLaaS) 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 (MLaaS) Products, Services and Solutions
5.10.4 Baidu Machine Learning as a Service (MLaaS) 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 (MLaaS) Products, Services and Solutions
5.11.4 Rackspace Machine Learning as a Service (MLaaS) 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 (MLaaS) Products, Services and Solutions
5.12.4 SAP AG Machine Learning as a Service (MLaaS) 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 (MLaaS) Products, Services and Solutions
5.13.4 Century Link Inc. Machine Learning as a Service (MLaaS) 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 (MLaaS) Products, Services and Solutions
5.14.4 CSC (Computer Science Corporation) Machine Learning as a Service (MLaaS) 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 (MLaaS) Products, Services and Solutions
5.15.4 Heroku Machine Learning as a Service (MLaaS) 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 (MLaaS) Products, Services and Solutions
5.16.4 Clustrix Machine Learning as a Service (MLaaS) 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 (MLaaS) Products, Services and Solutions
5.17.4 Xeround Machine Learning as a Service (MLaaS) Revenue (US$ Million) & (2018-2023)
5.17.5 Xeround Recent Developments
6 North America
6.1 North America Machine Learning as a Service (MLaaS) Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Machine Learning as a Service (MLaaS) 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 (MLaaS) 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 (MLaaS) 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 (MLaaS) 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 (MLaaS) Market Dynamics
11.1 Machine Learning as a Service (MLaaS) Industry Trends
11.2 Machine Learning as a Service (MLaaS) Market Drivers
11.3 Machine Learning as a Service (MLaaS) Market Challenges
11.4 Machine Learning as a Service (MLaaS) 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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