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, 2022-2030

8.1.1. Solution

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Services

8.1.2.1. Market Revenue and Forecast (2017-2030)

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

9.1. Machine Learning as a Service Market, by Organization Size e, 2022-2030

9.1.1. Small and Medium-Sized Enterprises

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Large Enterprises

9.1.2.1. Market Revenue and Forecast (2017-2030)

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

10.1. Machine Learning as a Service Market, by Application, 2022-2030

10.1.1. Marketing & Advertising

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Fraud Detection & Risk Management

10.1.2.1. Market Revenue and Forecast (2017-2030)

10.1.3. Computer vision

10.1.3.1. Market Revenue and Forecast (2017-2030)

10.1.4. Security & Surveillance

10.1.4.1. Market Revenue and Forecast (2017-2030)

10.1.5. Predictive analytics

10.1.5.1. Market Revenue and Forecast (2017-2030)

10.1.6. Natural Language Processing

10.1.6.1. Market Revenue and Forecast (2017-2030)

10.1.7. Augmented & Virtual Reality

10.1.7.1. Market Revenue and Forecast (2017-2030)

10.1.8. Others

10.1.8.1. Market Revenue and Forecast (2017-2030)

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

11.1. Machine Learning as a Service Market, by Industry Vertical, 2022-2030

11.1.1. BFSI

11.1.1.1. Market Revenue and Forecast (2017-2030)

11.1.2. IT & Telecom

11.1.2.1. Market Revenue and Forecast (2017-2030)

11.1.3. Automotive

11.1.3.1. Market Revenue and Forecast (2017-2030)

11.1.4. Healthcare

11.1.4.1. Market Revenue and Forecast (2017-2030)

11.1.5. Aerospace & Defense

11.1.5.1. Market Revenue and Forecast (2017-2030)

11.1.6. Retail

11.1.6.1. Market Revenue and Forecast (2017-2030)

11.1.7. Government

11.1.7.1. Market Revenue and Forecast (2017-2030)

11.1.8. Others

11.1.8.1. Market Revenue and Forecast (2017-2030)

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 (2017-2030)

12.1.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.1.3. Market Revenue and Forecast, by Application (2017-2030)

12.1.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.1.5.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.1.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.1.5.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Component (2017-2030)

12.1.6.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.1.6.3. Market Revenue and Forecast, by Application (2017-2030)

12.1.6.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.2. Europe

12.2.1. Market Revenue and Forecast, by Component (2017-2030)

12.2.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.2.3. Market Revenue and Forecast, by Application (2017-2030)

12.2.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.2.5.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.2.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.2.5.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Component (2017-2030)

12.2.6.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.2.6.3. Market Revenue and Forecast, by Application (2017-2030)

12.2.6.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Component (2017-2030)

12.2.7.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.2.7.3. Market Revenue and Forecast, by Application (2017-2030)

12.2.7.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Component (2017-2030)

12.2.8.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.2.8.3. Market Revenue and Forecast, by Application (2017-2030)

12.2.8.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.3. APAC

12.3.1. Market Revenue and Forecast, by Component (2017-2030)

12.3.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.3.3. Market Revenue and Forecast, by Application (2017-2030)

12.3.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.3.5.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.3.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.3.5.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Component (2017-2030)

12.3.6.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.3.6.3. Market Revenue and Forecast, by Application (2017-2030)

12.3.6.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Component (2017-2030)

12.3.7.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.3.7.3. Market Revenue and Forecast, by Application (2017-2030)

12.3.7.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Component (2017-2030)

12.3.8.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.3.8.3. Market Revenue and Forecast, by Application (2017-2030)

12.3.8.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.4. MEA

12.4.1. Market Revenue and Forecast, by Component (2017-2030)

12.4.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.4.3. Market Revenue and Forecast, by Application (2017-2030)

12.4.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.4.5.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.4.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.4.5.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Component (2017-2030)

12.4.6.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.4.6.3. Market Revenue and Forecast, by Application (2017-2030)

12.4.6.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Component (2017-2030)

12.4.7.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.4.7.3. Market Revenue and Forecast, by Application (2017-2030)

12.4.7.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Component (2017-2030)

12.4.8.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.4.8.3. Market Revenue and Forecast, by Application (2017-2030)

12.4.8.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.5.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.5.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.5.5.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.5.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.5.5.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Component (2017-2030)

12.5.6.2. Market Revenue and Forecast, by Organization Size (2017-2030)

12.5.6.3. Market Revenue and Forecast, by Application (2017-2030)

12.5.6.4. Market Revenue and Forecast, by Industry Vertical (2017-2030)

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