The global Machine Learning as a Service (MLaaS) market was valued at US$ 2103.3 million in 2023 and is projected to reach US$ 7923.8 million by 2029, at a CAGR of 20.9% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The USA market for Global Machine Learning as a Service (MLaaS) market is estimated to increase from USD million in 2023 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.
The China market for Global Machine Learning as a Service (MLaaS) market is estimated to increase from USD million in 2023 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.
The Europe market for Global Machine Learning as a Service (MLaaS) market is estimated to increase from USD million in 2023 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.
Machine Learning is a multidisciplinary interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines.
Machine Learning as a Service Market 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). Machine Learning as a Service Market contains market size and forecasts of Machine Learning as a Service (MLaaS) in global, including the following market information:
- Global Machine Learning as a Service (MLaaS) Market Revenue, 2019-2024, 2024-2029, ($ millions)
- Global top five companies in 2023 (%)
North America is projected to grow at the highest rate during the forecast period.
MARKET MONITOR GLOBAL, INC (MMG) has surveyed the Machine Learning as a Service (MLaaS) companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Machine Learning as a Service (MLaaS) Market, by Type, 2019-2024, 2024-2029 ($ millions)
Global Machine Learning as a Service (MLaaS) Market Segment Percentages, by Type, 2023 (%)
- Private Clouds
- Public Clouds
- Hybrid Clouds
Global Machine Learning as a Service (MLaaS) Market, by Application, 2019-2024, 2024-2029 ($ millions)
Global Machine Learning as a Service (MLaaS) Market Segment Percentages, by Application, 2023 (%)
Global Machine Learning as a Service (MLaaS) Market, By Region and Country, 2019-2024, 2024-2029 ($ Millions)
Global Machine Learning as a Service (MLaaS) Market Segment Percentages, By Region and Country, 2023 (%)
- North America (United States, Canada, Mexico)
- Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe)
- Asia-Pacific (China, India, Japan, South Korea, Australia, Rest of APAC)
- The Middle East and Africa (Middle East, Africa)
- South and Central America (Brazil, Argentina, Rest of SCA)
Competitor Analysis
The report also provides analysis of leading market participants including:
- Key companies Machine Learning as a Service (MLaaS) revenues in global market, 2019-2024 (estimated), ($ millions)
- Key companies Machine Learning as a Service (MLaaS) revenues share in global market, 2023 (%)
Further, the report presents profiles of competitors in the market, key players include:
- Amazon
- Oracle
- IBM
- Microsoftn
- Google
- Salesforce
- Tencent
- Alibaba
- UCloud
- Baidu
- Rackspace
- SAP AG
- Century Link Inc.
- CSC (Computer Science Corporation)
- Heroku
- Clustrix
- Xeround
Outline of Major Chapters:
Chapter 1: Introduces the definition of Machine Learning as a Service (MLaaS), market overview.
Chapter 2: Global Machine Learning as a Service (MLaaS) market size in revenue.
Chapter 3: Detailed analysis of Machine Learning as a Service (MLaaS) company competitive landscape, revenue and 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: Sales of Machine Learning as a Service (MLaaS) in regional level and country level. 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 of each country in the world.
Chapter 7: 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 8: The main points and conclusions of the report.
Industry Market Size
