Chapter 1. Introduction 

1.1. Research Objective 

1.2. Scope of the Study 

1.3. Definition 

Chapter 2. Research Methodology 

2.1. Research Approach 

2.2. Data Sources 

2.3. Assumptions & Limitations 

Chapter 3. Executive Summary 

3.1. Market Snapshot 

Chapter 4. Market Variables and Scope  

4.1. Introduction 

4.2. Market Classification and Scope 

4.3. Industry Value Chain Analysis 

4.3.1. Raw Material Procurement Analysis  

4.3.2. Sales and Distribution Channel Analysis 

4.3.3. Downstream Buyer Analysis 

Chapter 5. COVID 19 Impact on Machine Learning as a Service Market  

5.1. COVID-19 Landscape: Machine Learning as a Service Industry Impact 

5.2. COVID 19 - Impact Assessment for the Industry 

5.3. COVID 19 Impact: Global Major Government Policy 

5.4. Market Trends and Opportunities in the COVID-19 Landscape 

Chapter 6. Market Dynamics Analysis and Trends 

6.1. Market Dynamics 

6.1.1. Market Drivers 

6.1.2. Market Restraints 

6.1.3. Market Opportunities 

6.2. Porter’s Five Forces Analysis 

6.2.1. Bargaining power of suppliers 

6.2.2. Bargaining power of buyers 

6.2.3. Threat of substitute 

6.2.4. Threat of new entrants 

6.2.5. Degree of competition 

Chapter 7. Competitive Landscape 

7.1.1. Company Market Share/Positioning Analysis 

7.1.2. Key Strategies Adopted by Players 

7.1.3. Vendor Landscape 

7.1.3.1. List of Suppliers 

7.1.3.2. List of Buyers 

Chapter 8. Global Machine Learning as a Service Market, By Component 

8.1. Machine Learning as a Service Market, by Component, 2023-2032 

8.1.1. Solution 

8.1.1.1. Market Revenue and Forecast (2020-2032) 

8.1.2. Services 

8.1.2.1. Market Revenue and Forecast (2020-2032) 

Chapter 9. Global Machine Learning as a Service Market, By Organization Size 

9.1. Machine Learning as a Service Market, by Organization Size e, 2023-2032 

9.1.1. Small and Medium-Sized Enterprises 

9.1.1.1. Market Revenue and Forecast (2020-2032) 

9.1.2. Large Enterprises 

9.1.2.1. Market Revenue and Forecast (2020-2032) 

Chapter 10. Global Machine Learning as a Service Market, By Application  

10.1. Machine Learning as a Service Market, by Application, 2023-2032 

10.1.1. Marketing & Advertising 

10.1.1.1. Market Revenue and Forecast (2020-2032) 

10.1.2. Fraud Detection & Risk Management 

10.1.2.1. Market Revenue and Forecast (2020-2032) 

10.1.3. Computer vision 

10.1.3.1. Market Revenue and Forecast (2020-2032) 

10.1.4. Security & Surveillance 

10.1.4.1. Market Revenue and Forecast (2020-2032) 

10.1.5. Predictive analytics 

10.1.5.1. Market Revenue and Forecast (2020-2032) 

10.1.6. Natural Language Processing 

10.1.6.1. Market Revenue and Forecast (2020-2032) 

10.1.7. Augmented & Virtual Reality 

10.1.7.1. Market Revenue and Forecast (2020-2032) 

10.1.8. Others 

10.1.8.1. Market Revenue and Forecast (2020-2032) 

Chapter 11. Global Machine Learning as a Service Market, By Industry Vertical  

11.1. Machine Learning as a Service Market, by Industry Vertical, 2023-2032 

11.1.1. BFSI 

11.1.1.1. Market Revenue and Forecast (2020-2032) 

11.1.2. IT & Telecom 

11.1.2.1. Market Revenue and Forecast (2020-2032) 

11.1.3. Automotive 

11.1.3.1. Market Revenue and Forecast (2020-2032) 

11.1.4. Healthcare 

11.1.4.1. Market Revenue and Forecast (2020-2032) 

11.1.5. Aerospace & Defense 

11.1.5.1. Market Revenue and Forecast (2020-2032) 

11.1.6. Retail 

11.1.6.1. Market Revenue and Forecast (2020-2032) 

11.1.7. Government 

11.1.7.1. Market Revenue and Forecast (2020-2032) 

11.1.8. Others 

11.1.8.1. Market Revenue and Forecast (2020-2032) 

Chapter 12. Global Machine Learning as a Service Market, Regional Estimates and Trend Forecast 

12.1. North America 

12.1.1. Market Revenue and Forecast, by Component (2020-2032) 

12.1.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.1.3. Market Revenue and Forecast, by Application (2020-2032)

12.1.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.1.5. U.S. 

12.1.5.1. Market Revenue and Forecast, by Component (2020-2032) 

12.1.5.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.1.5.3. Market Revenue and Forecast, by Application (2020-2032) 

12.1.5.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.1.6. Rest of North America 

12.1.6.1. Market Revenue and Forecast, by Component (2020-2032) 

12.1.6.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.1.6.3. Market Revenue and Forecast, by Application (2020-2032) 

12.1.6.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.2. Europe 

12.2.1. Market Revenue and Forecast, by Component (2020-2032) 

12.2.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.2.3. Market Revenue and Forecast, by Application (2020-2032) 

12.2.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.2.5. UK 

12.2.5.1. Market Revenue and Forecast, by Component (2020-2032) 

12.2.5.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.2.5.3. Market Revenue and Forecast, by Application (2020-2032) 

12.2.5.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.2.6. Germany 

12.2.6.1. Market Revenue and Forecast, by Component (2020-2032) 

12.2.6.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.2.6.3. Market Revenue and Forecast, by Application (2020-2032) 

12.2.6.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.2.7. France 

12.2.7.1. Market Revenue and Forecast, by Component (2020-2032) 

12.2.7.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.2.7.3. Market Revenue and Forecast, by Application (2020-2032) 

12.2.7.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.2.8. Rest of Europe 

12.2.8.1. Market Revenue and Forecast, by Component (2020-2032) 

12.2.8.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.2.8.3. Market Revenue and Forecast, by Application (2020-2032) 

12.2.8.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.3. APAC 

12.3.1. Market Revenue and Forecast, by Component (2020-2032) 

12.3.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.3.3. Market Revenue and Forecast, by Application (2020-2032) 

12.3.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.3.5. India 

12.3.5.1. Market Revenue and Forecast, by Component (2020-2032) 

12.3.5.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.3.5.3. Market Revenue and Forecast, by Application (2020-2032) 

12.3.5.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.3.6. China 

12.3.6.1. Market Revenue and Forecast, by Component (2020-2032) 

12.3.6.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.3.6.3. Market Revenue and Forecast, by Application (2020-2032) 

12.3.6.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.3.7. Japan 

12.3.7.1. Market Revenue and Forecast, by Component (2020-2032) 

12.3.7.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.3.7.3. Market Revenue and Forecast, by Application (2020-2032) 

12.3.7.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.3.8. Rest of APAC 

12.3.8.1. Market Revenue and Forecast, by Component (2020-2032) 

12.3.8.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.3.8.3. Market Revenue and Forecast, by Application (2020-2032) 

12.3.8.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.4. MEA 

12.4.1. Market Revenue and Forecast, by Component (2020-2032) 

12.4.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.4.3. Market Revenue and Forecast, by Application (2020-2032) 

12.4.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.4.5. GCC 

12.4.5.1. Market Revenue and Forecast, by Component (2020-2032) 

12.4.5.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.4.5.3. Market Revenue and Forecast, by Application (2020-2032) 

12.4.5.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.4.6. North Africa 

12.4.6.1. Market Revenue and Forecast, by Component (2020-2032) 

12.4.6.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.4.6.3. Market Revenue and Forecast, by Application (2020-2032) 

12.4.6.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.4.7. South Africa 

12.4.7.1. Market Revenue and Forecast, by Component (2020-2032) 

12.4.7.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.4.7.3. Market Revenue and Forecast, by Application (2020-2032) 

12.4.7.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.4.8. Rest of MEA 

12.4.8.1. Market Revenue and Forecast, by Component (2020-2032) 

12.4.8.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.4.8.3. Market Revenue and Forecast, by Application (2020-2032) 

12.4.8.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.5. Latin America 

12.5.1. Market Revenue and Forecast, by Component (2020-2032) 

12.5.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.5.3. Market Revenue and Forecast, by Application (2020-2032) 

12.5.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.5.5. Brazil 

12.5.5.1. Market Revenue and Forecast, by Component (2020-2032) 

12.5.5.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.5.5.3. Market Revenue and Forecast, by Application (2020-2032) 

12.5.5.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

12.5.6. Rest of LATAM 

12.5.6.1. Market Revenue and Forecast, by Component (2020-2032) 

12.5.6.2. Market Revenue and Forecast, by Organization Size (2020-2032) 

12.5.6.3. Market Revenue and Forecast, by Application (2020-2032) 

12.5.6.4. Market Revenue and Forecast, by Industry Vertical (2020-2032) 

Chapter 13. Company Profiles 

13.1. GOOGLE INC 

13.1.1. Company Overview 

13.1.2. Product Offerings 

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. SAS INSTITUTE INC 

13.2.1. Company Overview

13.2.2. Product Offerings 

13.2.3. Financial Performance 

13.2.4. Recent Initiatives

13.3. FICO

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance 

13.3.4. Recent Initiatives 

13.4. HEWLETT PACKARD ENTERPRISE 

13.4.1. Company Overview 

13.4.2. Product Offerings 

13.4.3. Financial Performance 

13.4.4. Recent Initiatives 

13.5. YOTTAMINE ANALYTICS 

13.5.1. Company Overview 

13.5.2. Product Offerings 

13.5.3. Financial Performance 

13.5.4. Recent Initiatives 

13.6. AMAZON WEB SERVICES 

13.6.1. Company Overview 

13.6.2. Product Offerings 

13.6.3. Financial Performance 

13.6.4. Recent Initiatives 

13.7. BIGML, INC 

13.7.1. Company Overview 

13.7.2. Product Offerings 

13.7.3. Financial Performance 

13.7.4. Recent Initiatives 

13.8. MICROSOFT CORPORATION 

13.8.1. Company Overview 

13.8.2. Product Offerings 

13.8.3. Financial Performance 

13.8.4. Recent Initiatives 

13.9. PREDICTRON LABS LTD 

13.9.1. Company Overview 

13.9.2. Product Offerings 

13.9.3. Financial Performance 

13.9.4. Recent Initiatives 

13.10. IBM 

13.10.1. Company Overview 

13.10.2. Product Offerings 

13.10.3. Financial Performance 

13.10.4. Recent Initiatives 

Chapter 14. Research Methodology 

14.1. Primary Research 

14.2. Secondary Research 

14.3. Assumptions 

Chapter 15. Appendix 

15.1. About Us 

15.2. Glossary of Terms