

The global MLaaS Platform market size is expected to reach $ 8059.4 million by 2030, rising at a market growth of 18.7% CAGR during the forecast period (2024-2030).
Machine Learning as a Service (MLaaS) is machine learning technology that is conscripted from another business. This is similar to SaaS (Software as a Service) or PaaS (Platform as a Service), meaning you use the services of a company, rather than wholly create your own.
Using MLaaS means the computation is handled outside of your company – you pay for the machine learning services you need, and data storage may be handled on your personal servers or in the cloud (usually offered with MLaaS providers).
MLaaS software can be used to automatically analyze online product reviews and respond to customers, streamline processes by automating tasks like ticket routing, and even power self-driving cars.
This report studies the global MLaaS Platform demand, key companies, and key regions.
This report is a detailed and comprehensive analysis of the world market for MLaaS Platform, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2023 as the base year. This report explores demand trends and competition, as well as details the characteristics of MLaaS Platform that contribute to its increasing demand across many markets.
Highlights and key features of the study
Global MLaaS Platform total market, 2019-2030, (USD Million)
Global MLaaS Platform total market by region & country, CAGR, 2019-2030, (USD Million)
U.S. VS China: MLaaS Platform total market, key domestic companies and share, (USD Million)
Global MLaaS Platform revenue by player and market share 2019-2024, (USD Million)
Global MLaaS Platform total market by Type, CAGR, 2019-2030, (USD Million)
Global MLaaS Platform total market by Application, CAGR, 2019-2030, (USD Million).
This reports profiles major players in the global MLaaS Platform market based on the following parameters – company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include MonkeyLearn, BigML, TensorFlow, IBM Watson, Apache Mahout, Azure and Google Cloud ML, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World MLaaS Platform market.
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2019-2030 by year with 2023 as the base year, 2024 as the estimate year, and 2025-2030 as the forecast year.
Global MLaaS Platform Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World
Global MLaaS Platform Market, Segmentation by Type
Natural Language Processing (NLP)
Image and Video Analysis
Computer Vision
Global MLaaS Platform Market, Segmentation by Application
Retail
Aviation
Finance
IT
Medical Health Care
Government
Others
Companies Profiled:
MonkeyLearn
BigML
TensorFlow
IBM Watson
Apache Mahout
Azure
Google Cloud ML
Key Questions Answered
1. How big is the global MLaaS Platform market?
2. What is the demand of the global MLaaS Platform market?
3. What is the year over year growth of the global MLaaS Platform market?
4. What is the total value of the global MLaaS Platform market?
5. Who are the major players in the global MLaaS Platform market?
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 Supply Summary
1.1 MLaaS Platform Introduction
1.2 World MLaaS Platform Market Size & Forecast (2019 & 2023 & 2030)
1.3 World MLaaS Platform Total Market by Region (by Headquarter Location)
1.3.1 World MLaaS Platform Market Size by Region (2019-2030), (by Headquarter Location)
1.3.2 United States MLaaS Platform Market Size (2019-2030)
1.3.3 China MLaaS Platform Market Size (2019-2030)
1.3.4 Europe MLaaS Platform Market Size (2019-2030)
1.3.5 Japan MLaaS Platform Market Size (2019-2030)
1.3.6 South Korea MLaaS Platform Market Size (2019-2030)
1.3.7 ASEAN MLaaS Platform Market Size (2019-2030)
1.3.8 India MLaaS Platform Market Size (2019-2030)
1.4 Market Drivers, Restraints and Trends
1.4.1 MLaaS Platform Market Drivers
1.4.2 Factors Affecting Demand
1.4.3 MLaaS Platform Major Market Trends
2 Demand Summary
2.1 World MLaaS Platform Consumption Value (2019-2030)
2.2 World MLaaS Platform Consumption Value by Region
2.2.1 World MLaaS Platform Consumption Value by Region (2019-2024)
2.2.2 World MLaaS Platform Consumption Value Forecast by Region (2025-2030)
2.3 United States MLaaS Platform Consumption Value (2019-2030)
2.4 China MLaaS Platform Consumption Value (2019-2030)
2.5 Europe MLaaS Platform Consumption Value (2019-2030)
2.6 Japan MLaaS Platform Consumption Value (2019-2030)
2.7 South Korea MLaaS Platform Consumption Value (2019-2030)
2.8 ASEAN MLaaS Platform Consumption Value (2019-2030)
2.9 India MLaaS Platform Consumption Value (2019-2030)
3 World MLaaS Platform Companies Competitive Analysis
3.1 World MLaaS Platform Revenue by Player (2019-2024)
3.2 Industry Rank and Concentration Rate (CR)
3.2.1 Global MLaaS Platform Industry Rank of Major Players
3.2.2 Global Concentration Ratios (CR4) for MLaaS Platform in 2023
3.2.3 Global Concentration Ratios (CR8) for MLaaS Platform in 2023
3.3 MLaaS Platform Company Evaluation Quadrant
3.4 MLaaS Platform Market: Overall Company Footprint Analysis
3.4.1 MLaaS Platform Market: Region Footprint
3.4.2 MLaaS Platform Market: Company Product Type Footprint
3.4.3 MLaaS Platform Market: Company Product Application Footprint
3.5 Competitive Environment
3.5.1 Historical Structure of the Industry
3.5.2 Barriers of Market Entry
3.5.3 Factors of Competition
3.6 Mergers, Acquisitions Activity
4 United States VS China VS Rest of the World (by Headquarter Location)
4.1 United States VS China: MLaaS Platform Revenue Comparison (by Headquarter Location)
4.1.1 United States VS China: MLaaS Platform Market Size Comparison (2019 & 2023 & 2030) (by Headquarter Location)
4.1.2 United States VS China: MLaaS Platform Revenue Market Share Comparison (2019 & 2023 & 2030)
4.2 United States Based Companies VS China Based Companies: MLaaS Platform Consumption Value Comparison
4.2.1 United States VS China: MLaaS Platform Consumption Value Comparison (2019 & 2023 & 2030)
4.2.2 United States VS China: MLaaS Platform Consumption Value Market Share Comparison (2019 & 2023 & 2030)
4.3 United States Based MLaaS Platform Companies and Market Share, 2019-2024
4.3.1 United States Based MLaaS Platform Companies, Headquarters (States, Country)
4.3.2 United States Based Companies MLaaS Platform Revenue, (2019-2024)
4.4 China Based Companies MLaaS Platform Revenue and Market Share, 2019-2024
4.4.1 China Based MLaaS Platform Companies, Company Headquarters (Province, Country)
4.4.2 China Based Companies MLaaS Platform Revenue, (2019-2024)
4.5 Rest of World Based MLaaS Platform Companies and Market Share, 2019-2024
4.5.1 Rest of World Based MLaaS Platform Companies, Headquarters (States, Country)
4.5.2 Rest of World Based Companies MLaaS Platform Revenue, (2019-2024)
5 Market Analysis by Type
5.1 World MLaaS Platform Market Size Overview by Type: 2019 VS 2023 VS 2030
5.2 Segment Introduction by Type
5.2.1 Natural Language Processing (NLP)
5.2.2 Image and Video Analysis
5.2.3 Computer Vision
5.3 Market Segment by Type
5.3.1 World MLaaS Platform Market Size by Type (2019-2024)
5.3.2 World MLaaS Platform Market Size by Type (2025-2030)
5.3.3 World MLaaS Platform Market Size Market Share by Type (2019-2030)
6 Market Analysis by Application
6.1 World MLaaS Platform Market Size Overview by Application: 2019 VS 2023 VS 2030
6.2 Segment Introduction by Application
6.2.1 Retail
6.2.2 Aviation
6.2.3 Finance
6.2.4 IT
6.2.5 IT
6.2.6 Government
6.2.7 Others
6.3 Market Segment by Application
6.3.1 World MLaaS Platform Market Size by Application (2019-2024)
6.3.2 World MLaaS Platform Market Size by Application (2025-2030)
6.3.3 World MLaaS Platform Market Size by Application (2019-2030)
7 Company Profiles
7.1 MonkeyLearn
7.1.1 MonkeyLearn Details
7.1.2 MonkeyLearn Major Business
7.1.3 MonkeyLearn MLaaS Platform Product and Services
7.1.4 MonkeyLearn MLaaS Platform Revenue, Gross Margin and Market Share (2019-2024)
7.1.5 MonkeyLearn Recent Developments/Updates
7.1.6 MonkeyLearn Competitive Strengths & Weaknesses
7.2 BigML
7.2.1 BigML Details
7.2.2 BigML Major Business
7.2.3 BigML MLaaS Platform Product and Services
7.2.4 BigML MLaaS Platform Revenue, Gross Margin and Market Share (2019-2024)
7.2.5 BigML Recent Developments/Updates
7.2.6 BigML Competitive Strengths & Weaknesses
7.3 TensorFlow
7.3.1 TensorFlow Details
7.3.2 TensorFlow Major Business
7.3.3 TensorFlow MLaaS Platform Product and Services
7.3.4 TensorFlow MLaaS Platform Revenue, Gross Margin and Market Share (2019-2024)
7.3.5 TensorFlow Recent Developments/Updates
7.3.6 TensorFlow Competitive Strengths & Weaknesses
7.4 IBM Watson
7.4.1 IBM Watson Details
7.4.2 IBM Watson Major Business
7.4.3 IBM Watson MLaaS Platform Product and Services
7.4.4 IBM Watson MLaaS Platform Revenue, Gross Margin and Market Share (2019-2024)
7.4.5 IBM Watson Recent Developments/Updates
7.4.6 IBM Watson Competitive Strengths & Weaknesses
7.5 Apache Mahout
7.5.1 Apache Mahout Details
7.5.2 Apache Mahout Major Business
7.5.3 Apache Mahout MLaaS Platform Product and Services
7.5.4 Apache Mahout MLaaS Platform Revenue, Gross Margin and Market Share (2019-2024)
7.5.5 Apache Mahout Recent Developments/Updates
7.5.6 Apache Mahout Competitive Strengths & Weaknesses
7.6 Azure
7.6.1 Azure Details
7.6.2 Azure Major Business
7.6.3 Azure MLaaS Platform Product and Services
7.6.4 Azure MLaaS Platform Revenue, Gross Margin and Market Share (2019-2024)
7.6.5 Azure Recent Developments/Updates
7.6.6 Azure Competitive Strengths & Weaknesses
7.7 Google Cloud ML
7.7.1 Google Cloud ML Details
7.7.2 Google Cloud ML Major Business
7.7.3 Google Cloud ML MLaaS Platform Product and Services
7.7.4 Google Cloud ML MLaaS Platform Revenue, Gross Margin and Market Share (2019-2024)
7.7.5 Google Cloud ML Recent Developments/Updates
7.7.6 Google Cloud ML Competitive Strengths & Weaknesses
8 Industry Chain Analysis
8.1 MLaaS Platform Industry Chain
8.2 MLaaS Platform Upstream Analysis
8.3 MLaaS Platform Midstream Analysis
8.4 MLaaS Platform Downstream Analysis
9 Research Findings and Conclusion
10 Appendix
10.1 Methodology
10.2 Research Process and Data Source
10.3 Disclaimer
MonkeyLearn
BigML
TensorFlow
IBM Watson
Apache Mahout
Azure
Google Cloud ML
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*If Applicable.