Highlights
The global Machine-Learning-as-a-Service market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Machine-Learning-as-a-Service is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Machine-Learning-as-a-Service is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Machine-Learning-as-a-Service in Healthcare is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Machine-Learning-as-a-Service include Amazon Web Services, BigML, Crunchbase, Fair Isaac Corporation, Google, IBM, Microsoft Corporation, PREDICTRON LABS and Yottamine Analytics, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Machine-Learning-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-as-a-Service.
The Machine-Learning-as-a-Service market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Machine-Learning-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-as-a-Service companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Amazon Web Services
BigML
Crunchbase
Fair Isaac Corporation
Google
IBM
Microsoft Corporation
PREDICTRON LABS
Yottamine Analytics
Segment by Type
Services
Software
Segment by Application
Healthcare
Retail
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
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, 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 companies鈥� 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 key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine-Learning-as-a-Service Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Services
1.2.3 Software
1.3 Market by Application
1.3.1 Global Machine-Learning-as-a-Service Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Healthcare
1.3.3 Retail
1.3.4 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine-Learning-as-a-Service Market Perspective (2018-2029)
2.2 Machine-Learning-as-a-Service Growth Trends by Region
2.2.1 Global Machine-Learning-as-a-Service Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Machine-Learning-as-a-Service Historic Market Size by Region (2018-2023)
2.2.3 Machine-Learning-as-a-Service Forecasted Market Size by Region (2024-2029)
2.3 Machine-Learning-as-a-Service Market Dynamics
2.3.1 Machine-Learning-as-a-Service Industry Trends
2.3.2 Machine-Learning-as-a-Service Market Drivers
2.3.3 Machine-Learning-as-a-Service Market Challenges
2.3.4 Machine-Learning-as-a-Service Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine-Learning-as-a-Service Players by Revenue
3.1.1 Global Top Machine-Learning-as-a-Service Players by Revenue (2018-2023)
3.1.2 Global Machine-Learning-as-a-Service Revenue Market Share by Players (2018-2023)
3.2 Global Machine-Learning-as-a-Service Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Machine-Learning-as-a-Service Revenue
3.4 Global Machine-Learning-as-a-Service Market Concentration Ratio
3.4.1 Global Machine-Learning-as-a-Service Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine-Learning-as-a-Service Revenue in 2022
3.5 Machine-Learning-as-a-Service Key Players Head office and Area Served
3.6 Key Players Machine-Learning-as-a-Service Product Solution and Service
3.7 Date of Enter into Machine-Learning-as-a-Service Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine-Learning-as-a-Service Breakdown Data by Type
4.1 Global Machine-Learning-as-a-Service Historic Market Size by Type (2018-2023)
4.2 Global Machine-Learning-as-a-Service Forecasted Market Size by Type (2024-2029)
5 Machine-Learning-as-a-Service Breakdown Data by Application
5.1 Global Machine-Learning-as-a-Service Historic Market Size by Application (2018-2023)
5.2 Global Machine-Learning-as-a-Service Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Machine-Learning-as-a-Service Market Size (2018-2029)
6.2 North America Machine-Learning-as-a-Service Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Machine-Learning-as-a-Service Market Size by Country (2018-2023)
6.4 North America Machine-Learning-as-a-Service Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine-Learning-as-a-Service Market Size (2018-2029)
7.2 Europe Machine-Learning-as-a-Service Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Machine-Learning-as-a-Service Market Size by Country (2018-2023)
7.4 Europe Machine-Learning-as-a-Service Market Size by Country (2024-2029)
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 Market Size (2018-2029)
8.2 Asia-Pacific Machine-Learning-as-a-Service Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Machine-Learning-as-a-Service Market Size by Region (2018-2023)
8.4 Asia-Pacific Machine-Learning-as-a-Service Market Size by Region (2024-2029)
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 Market Size (2018-2029)
9.2 Latin America Machine-Learning-as-a-Service Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Machine-Learning-as-a-Service Market Size by Country (2018-2023)
9.4 Latin America Machine-Learning-as-a-Service Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine-Learning-as-a-Service Market Size (2018-2029)
10.2 Middle East & Africa Machine-Learning-as-a-Service Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Machine-Learning-as-a-Service Market Size by Country (2018-2023)
10.4 Middle East & Africa Machine-Learning-as-a-Service Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Amazon Web Services
11.1.1 Amazon Web Services Company Detail
11.1.2 Amazon Web Services Business Overview
11.1.3 Amazon Web Services Machine-Learning-as-a-Service Introduction
11.1.4 Amazon Web Services Revenue in Machine-Learning-as-a-Service Business (2018-2023)
11.1.5 Amazon Web Services Recent Development
11.2 BigML
11.2.1 BigML Company Detail
11.2.2 BigML Business Overview
11.2.3 BigML Machine-Learning-as-a-Service Introduction
11.2.4 BigML Revenue in Machine-Learning-as-a-Service Business (2018-2023)
11.2.5 BigML Recent Development
11.3 Crunchbase
11.3.1 Crunchbase Company Detail
11.3.2 Crunchbase Business Overview
11.3.3 Crunchbase Machine-Learning-as-a-Service Introduction
11.3.4 Crunchbase Revenue in Machine-Learning-as-a-Service Business (2018-2023)
11.3.5 Crunchbase Recent Development
11.4 Fair Isaac Corporation
11.4.1 Fair Isaac Corporation Company Detail
11.4.2 Fair Isaac Corporation Business Overview
11.4.3 Fair Isaac Corporation Machine-Learning-as-a-Service Introduction
11.4.4 Fair Isaac Corporation Revenue in Machine-Learning-as-a-Service Business (2018-2023)
11.4.5 Fair Isaac Corporation 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 Introduction
11.5.4 Google Revenue in Machine-Learning-as-a-Service Business (2018-2023)
11.5.5 Google Recent Development
11.6 IBM
11.6.1 IBM Company Detail
11.6.2 IBM Business Overview
11.6.3 IBM Machine-Learning-as-a-Service Introduction
11.6.4 IBM Revenue in Machine-Learning-as-a-Service Business (2018-2023)
11.6.5 IBM Recent Development
11.7 Microsoft Corporation
11.7.1 Microsoft Corporation Company Detail
11.7.2 Microsoft Corporation Business Overview
11.7.3 Microsoft Corporation Machine-Learning-as-a-Service Introduction
11.7.4 Microsoft Corporation Revenue in Machine-Learning-as-a-Service Business (2018-2023)
11.7.5 Microsoft Corporation Recent Development
11.8 PREDICTRON LABS
11.8.1 PREDICTRON LABS Company Detail
11.8.2 PREDICTRON LABS Business Overview
11.8.3 PREDICTRON LABS Machine-Learning-as-a-Service Introduction
11.8.4 PREDICTRON LABS Revenue in Machine-Learning-as-a-Service Business (2018-2023)
11.8.5 PREDICTRON LABS Recent Development
11.9 Yottamine Analytics
11.9.1 Yottamine Analytics Company Detail
11.9.2 Yottamine Analytics Business Overview
11.9.3 Yottamine Analytics Machine-Learning-as-a-Service Introduction
11.9.4 Yottamine Analytics Revenue in Machine-Learning-as-a-Service Business (2018-2023)
11.9.5 Yottamine Analytics 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
Amazon Web Services
BigML
Crunchbase
Fair Isaac Corporation
Google
IBM
Microsoft Corporation
PREDICTRON LABS
Yottamine Analytics
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*If Applicable.
