Machine Learning-as-a-Service (MLaaS) Market Size, Share, Trends and Growth Report – Global Opportunities & Forecast, 2023-2030
1. Executive Summary
1.1. Key Market Insights
2. Introduction
2.1. Study Objectives
2.2. Market Definition
2.2.1. Market Covered
2.2.2. Regional Coverage
2.2.3. Study Years & Currency
2.3. Market Stakeholders
2.4. Key Questions this Study will Answer
2.5. GMI Research’s Approach & Methodology
2.5.1. Research Data
2.5.2. Primary Data
2.5.3. Demand Side and Supply Side Analysis
2.5.4. Market Size Estimation
2.5.5. Research Assumptions
3. Global Machine Learning-as-a-Service (MLaaS) Market- Overview
3.1. Introduction
3.2. Market Segmentation
3.3. Value Chain Analysis
3.4. Market Drivers
3.5. Market Restraints
3.6. Market Trends
4. Global Machine Learning-as-a-Service (MLaaS) Market Revenue Forecast till 2030
5. Global Machine Learning-as-a-Service (MLaaS) Market by Component Revenue Forecast till 2030
5.1. Software Tools
5.1.1. Data Storage and Archiving
5.1.2. Modeler and Processing
5.1.3. Cloud and Web-Based Application Programming Interface
5.1.4. Others
5.2. Services
5.2.1. Professional Services
5.2.2. Managed Services
6. Global Machine Learning-as-a-Service (MLaaS) Market by Application Revenue Forecast till 2030
6.1. Marketing and Advertising
6.2. Fraud Detection and Risk Analytics
6.3. Predictive Maintenance
6.4. Augmented Reality
6.5. Network Analytics and Automated Traffic Management
6.6. Others
7. Global Machine Learning-as-a-Service (MLaaS) Market by Organisation Size Revenue Forecast till 2030
7.1. Small and Medium Enterprises
7.2. Large Enterprises
8. Global Machine Learning-as-a-Service (MLaaS) Market by Vertical Revenue Forecast till 2030
8.1. Education
8.2. Banking and Financial Services
8.3. Insurance
8.4. Automotive and Transportation
8.5. Healthcare
8.6. Defense
8.7. Retail and E-Commerce
8.8. Media and Entertainment
8.9. Telecom
8.10. Others
9. Global Machine Learning-as-a-Service (MLaaS) Market by Region Revenue Forecast till 2030
9.1. North America Machine Learning-as-a-Service (MLaaS) Market Revenue Forecast till 2030
(Option 1: As a part of the free 25% customization)
9.1.1. North America Machine Learning-as-a-Service (MLaaS) Market by Component
9.1.1.1. Software Tools
9.1.1.1.1. Data Storage and Archiving
9.1.1.1.2. Modeler and Processing
9.1.1.1.3. Cloud and Web-Based Application Programming Interface
9.1.1.1.4. Others
9.1.1.2. Services
9.1.1.2.1. Professional Services
9.1.1.2.2. Managed Services
9.1.2. North America Machine Learning-as-a-Service (MLaaS) Market by Application
9.1.2.1. Marketing and Advertising
9.1.2.2. Fraud Detection and Risk Analytics
9.1.2.3. Predictive Maintenance
9.1.2.4. Augmented Reality
9.1.2.5. Network Analytics and Automated Traffic Management
9.1.2.6. Others
9.1.3. North America Machine Learning-as-a-Service (MLaaS) Market by Organisation Size
9.1.3.1. Small and Medium Enterprises
9.1.3.2. Large Enterprises
9.1.4. North America Machine Learning-as-a-Service (MLaaS) Market by Vertical
9.1.4.1. Education
9.1.4.2. Banking and Financial Services
9.1.4.3. Insurance
9.1.4.4. Automotive and Transportation
9.1.4.5. Healthcare
9.1.4.6. Defense
9.1.4.7. Retail and E-Commerce
9.1.4.8. Media and Entertainment
9.1.4.9. Telecom
9.1.4.10. Others
9.1.5. US Machine Learning-as-a-Service (MLaaS) Market All-Up
9.1.6. Canada Machine Learning-as-a-Service (MLaaS) Market All-Up
9.2. Europe Machine Learning-as-a-Service (MLaaS) Market Revenue Forecast till 2030
(Option 2: As a part of the free 25% customization)
9.2.1. Europe Machine Learning-as-a-Service (MLaaS) Market by Component
9.2.1.1. Software Tools
9.2.1.1.1. Data Storage and Archiving
9.2.1.1.2. Modeler and Processing
9.2.1.1.3. Cloud and Web-Based Application Programming Interface
9.2.1.1.4. Others
9.2.1.2. Services
9.2.1.2.1. Professional Services
9.2.1.2.2. Managed Services
9.2.2. Europe Machine Learning-as-a-Service (MLaaS) Market by Application
9.2.2.1. Marketing and Advertising
9.2.2.2. Fraud Detection and Risk Analytics
9.2.2.3. Predictive Maintenance
9.2.2.4. Augmented Reality
9.2.2.5. Network Analytics and Automated Traffic Management
9.2.2.6. Others
9.2.3. Europe Machine Learning-as-a-Service (MLaaS) Market by Organisation Size
9.2.3.1. Small and Medium Enterprises
9.2.3.2. Large Enterprises
9.2.4. Europe Machine Learning-as-a-Service (MLaaS) Market by Vertical
9.2.4.1. Education
9.2.4.2. Banking and Financial Services
9.2.4.3. Insurance
9.2.4.4. Automotive and Transportation
9.2.4.5. Healthcare
9.2.4.6. Defense
9.2.4.7. Retail and E-Commerce
9.2.4.8. Media and Entertainment
9.2.4.9. Telecom
9.2.4.10. Others
9.2.5. UK Machine Learning-as-a-Service (MLaaS) Market All-Up
9.2.6. Germany Machine Learning-as-a-Service (MLaaS) Market All-Up
9.2.7. France Machine Learning-as-a-Service (MLaaS) Market All-Up
9.2.8. Spain Machine Learning-as-a-Service (MLaaS) Market All-Up
9.2.9. Rest of Europe Machine Learning-as-a-Service (MLaaS) Market All-Up
9.3. Asia-Pacific Machine Learning-as-a-Service (MLaaS) Market Revenue Forecast till 2030
(Option 3: As a part of the free 25% customization)
9.3.1. Asia-Pacific Machine Learning-as-a-Service (MLaaS) Market by Component
9.3.1.1. Software Tools
9.3.1.1.1. Data Storage and Archiving
9.3.1.1.2. Modeler and Processing
9.3.1.1.3. Cloud and Web-Based Application Programming Interface
9.3.1.1.4. Others
9.3.1.2. Services
9.3.1.2.1. Professional Services
9.3.1.2.2. Managed Services
9.3.2. Asia-Pacific Machine Learning-as-a-Service (MLaaS) Market by Application
9.3.2.1. Marketing and Advertising
9.3.2.2. Fraud Detection and Risk Analytics
9.3.2.3. Predictive Maintenance
9.3.2.4. Augmented Reality
9.3.2.5. Network Analytics and Automated Traffic Management
9.3.2.6. Others
9.3.3. Asia-Pacific Machine Learning-as-a-Service (MLaaS) Market by Organisation Size
9.3.3.1. Small and Medium Enterprises
9.3.3.2. Large Enterprises
9.3.4. Asia-Pacific Machine Learning-as-a-Service (MLaaS) Market by Vertical
9.3.4.1. Education
9.3.4.2. Banking and Financial Services
9.3.4.3. Insurance
9.3.4.4. Automotive and Transportation
9.3.4.5. Healthcare
9.3.4.6. Defense
9.3.4.7. Retail and E-Commerce
9.3.4.8. Media and Entertainment
9.3.4.9. Telecom
9.3.4.10. Others
9.3.5. China Machine Learning-as-a-Service (MLaaS) Market All-Up
9.3.6. India Machine Learning-as-a-Service (MLaaS) Market All-Up
9.3.7. Japan Machine Learning-as-a-Service (MLaaS) Market All-Up
9.3.8. Rest of APAC Machine Learning-as-a-Service (MLaaS) Market All-Up
9.4. Rest of the World Machine Learning-as-a-Service (MLaaS) Market Revenue Forecast till 2030
(Option 4: As a part of the free 25% customization)
9.4.1. Rest of the World Machine Learning-as-a-Service (MLaaS) Market by Component
9.4.1.1. Software Tools
9.4.1.1.1. Data Storage and Archiving
9.4.1.1.2. Modeler and Processing
9.4.1.1.3. Cloud and Web-Based Application Programming Interface
9.4.1.1.4. Others
9.4.1.2. Services
9.4.1.2.1. Professional Services
9.4.1.2.2. Managed Services
9.4.2. Rest of the World Machine Learning-as-a-Service (MLaaS) Market by Application
9.4.2.1. Marketing and Advertising
9.4.2.2. Fraud Detection and Risk Analytics
9.4.2.3. Predictive Maintenance
9.4.2.4. Augmented Reality
9.4.2.5. Network Analytics and Automated Traffic Management
9.4.2.6. Others
9.4.3. Rest of the World Machine Learning-as-a-Service (MLaaS) Market by Organisation Size
9.4.3.1. Small and Medium Enterprises
9.4.3.2. Large Enterprises
9.4.4. Rest of the World Machine Learning-as-a-Service (MLaaS) Market by Vertical
9.4.4.1. Education
9.4.4.2. Banking and Financial Services
9.4.4.3. Insurance
9.4.4.4. Automotive and Transportation
9.4.4.5. Healthcare
9.4.4.6. Defense
9.4.4.7. Retail and E-Commerce
9.4.4.8. Media and Entertainment
9.4.4.9. Telecom
9.4.4.10. Others
9.4.5. Brazil Machine Learning-as-a-Service (MLaaS) Market All-Up
9.4.6. South Africa Machine Learning-as-a-Service (MLaaS) Market All-Up
9.4.7. Saudi Arabia Machine Learning-as-a-Service (MLaaS) Market All-Up
9.4.8. UAE Machine Learning-as-a-Service (MLaaS) Market All-Up
9.4.9. Rest of world (remaining countries of the LAMEA region) Machine Learning-as-a-Service (MLaaS) Market All-Up
10. Competitive Landscape Analysis
10.1. Porter’s Five Forces Analysis
10.2. Industry – Competitive Landscape
10.3. Market Presence (Intensity Mapping)
10.4. Key Strategic Market Developments
11. Company Profiles (Option 5: Free 25% Customization - Profiles of 5 Additional Companies of your Choice)
11.1. Microsoft Corporation
11.1.1. Company Overview
11.1.2. Key Executives
11.1.3. Product Offerings
11.1.4. Financials
11.1.5. Key Company Developments
11.2. International Business Machine Corporation
11.2.1. Company Overview
11.2.2. Key Executives
11.2.3. Product Offerings
11.2.4. Financials
11.2.5. Key Company Developments
11.3. Google LLC
11.3.1. Company Overview
11.3.2. Key Executives
11.3.3. Product Offerings
11.3.4. Financials
11.3.5. Key Company Developments
11.4. Amazon Web Services
11.4.1. Company Overview
11.4.2. Key Executives
11.4.3. Product Offerings
11.4.4. Financials
11.4.5. Key Company Developments
11.5. BigML, Inc.
11.5.1. Company Overview
11.5.2. Key Executives
11.5.3. Product Offerings
11.5.4. Financials
11.5.5. Key Company Developments
11.6. FICO
11.6.1. Company Overview
11.6.2. Key Executives
11.6.3. Product Offerings
11.6.4. Financials
11.6.5. Key Company Developments
11.7. Hewlett Packard Enterprise Development LP
11.7.1. Company Overview
11.7.2. Key Executives
11.7.3. Product Offerings
11.7.4. Financials
11.7.5. Key Company Developments
11.8. SAS Institute Inc.
11.8.1. Company Overview
11.8.2. Key Executives
11.8.3. Product Offerings
11.8.4. Financials
11.8.5. Key Company Developments
11.9. Yottamine Analytics, LLC
11.9.1. Company Overview
11.9.2. Key Executives
11.9.3. Product Offerings
11.9.4. Financials
11.9.5. Key Company Developments
11.10. DataRobot, Inc.
11.10.1. Company Overview
11.10.2. Key Executives
11.10.3. Product Offerings
11.10.4. Financials
11.10.5. Key Company Developments
11.11. Algolytics
11.11.1. Company Overview
11.11.2. Key Executives
11.11.3. Product Offerings
11.11.4. Financials
11.11.5. Key Company Developments
12. About GMI Research
*Details on Financials might not be available in case of unlisted/private companies.
- Published Date: Nov-2023
- Report Format: Excel/PPT
- Report Code: UP811A-00-0620
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Multi-User License:Report is shared with maximum 5 users (employees) including the purchaser of the purchasing corporation only
Corporate License:
Report is shared with unlimited user (employees) of the purchasing corporation only
Machine Learning-as-a-Service (MLaaS) Market Size, Share, Trends and Growth Report – Global Opportunities & Forecast, 2023-2030
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