Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2027 (USD Billion)
1.2.1. Machine Learning as a Service (MLaaS) Market, by region, 2019-2027 (USD Billion)
1.2.2. Machine Learning as a Service (MLaaS) Market, by Application, 2019-2027 (USD Billion)
1.2.3. Machine Learning as a Service (MLaaS) Market, by Organisation Size, 2019-2027 (USD Billion)
1.2.4. Machine Learning as a Service (MLaaS) Market, by End User, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Machine Learning as a Service (MLaaS) Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Machine Learning as a Service (MLaaS) Market Dynamics
3.1. Machine Learning as a Service (MLaaS) Market Impact Analysis (2019-2027)
3.1.1. Market Drivers
3.1.1.1. Growing Adoption of Cloud-based Services
3.1.1.2. Growing Adoption of IoT and Automation
3.1.2. Market Restraint
3.1.2.1. Lack of skilled professionals
3.1.2.2. Privacy and Data Security Concerns
3.1.3. Market Opportunities
3.1.3.1. Increasing Investments in the Healthcare Industry
3.1.3.2. Emerging Options in Application Areas
Chapter 4. Global Machine Learning as a Service (MLaaS) Market: Industry Analysis
4.1. Porter's 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter's 5 Force Model (2018-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economic
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Machine Learning as a Service (MLaaS) Market, by Application
5.1. Market Snapshot
5.2. Global Machine Learning as a Service (MLaaS) Market by Application, Performance - Potential Analysis
5.3. Global Machine Learning as a Service (MLaaS) Market Estimates & Forecasts by Application 2018-2027 (USD Billion)
5.4. Machine Learning as a Service (MLaaS) Market, Sub Segment Analysis
5.4.1. Marketing and Advertisement
5.4.2. Predictive Maintenance
5.4.3. Automated Network Management
5.4.4. Fraud Detection and Risk Analytics
5.4.5. Other Applications
Chapter 6. Global Machine Learning as a Service (MLaaS) Market, by Organisation Size
6.1. Market Snapshot
6.2. Global Machine Learning as a Service (MLaaS) Market by Organisation Size, Performance - Potential Analysis
6.3. Global Machine Learning as a Service (MLaaS) Market Estimates & Forecasts by Organisation Size 2018-2027 (USD Billion)
6.4. Machine Learning as a Service (MLaaS) Market, Sub Segment Analysis
6.4.1. Small and Medium Enterprises
6.4.2. Large Enterprises
Chapter 7. Global Machine Learning as a Service (MLaaS) Market, by End User
7.1. Market Snapshot
7.2. Global Machine Learning as a Service (MLaaS) Market by End User, Performance - Potential Analysis
7.3. Global Machine Learning as a Service (MLaaS) Market Estimates & Forecasts by End User 2018-2027 (USD Billion)
7.4. Machine Learning as a Service (MLaaS) Market, Sub Segment Analysis
7.4.1. IT and Telecom
7.4.2. Automotive
7.4.3. Healthcare
7.4.4. Aerospace and Defence
7.4.5. Retail
7.4.6. Government
7.4.7. BFSI
7.4.8. Other End Users
Chapter 8. Global Machine Learning as a Service (MLaaS) Market, Regional Analysis
8.1. Machine Learning as a Service (MLaaS) Market, Regional Market Snapshot
8.2. North America Machine Learning as a Service (MLaaS) Market
8.2.1. U.S. Machine Learning as a Service (MLaaS) Market
8.2.1.1. Application breakdown estimates & forecasts, 2018-2027
8.2.1.2. Organisation Size breakdown estimates & forecasts, 2018-2027
8.2.1.3. End User breakdown estimates & forecasts, 2018-2027
8.2.2. Canada Machine Learning as a Service (MLaaS) Market
8.3. Europe Machine Learning as a Service (MLaaS) Market Snapshot
8.3.1. U.K. Machine Learning as a Service (MLaaS) Market
8.3.2. Germany Machine Learning as a Service (MLaaS) Market
8.3.3. France Machine Learning as a Service (MLaaS) Market
8.3.4. Spain Machine Learning as a Service (MLaaS) Market
8.3.5. Italy Machine Learning as a Service (MLaaS) Market
8.3.6. Rest of Europe Machine Learning as a Service (MLaaS) Market
8.4. Asia-Pacific Machine Learning as a Service (MLaaS) Market Snapshot
8.4.1. China Machine Learning as a Service (MLaaS) Market
8.4.2. India Machine Learning as a Service (MLaaS) Market
8.4.3. Japan Machine Learning as a Service (MLaaS) Market
8.4.4. Australia Machine Learning as a Service (MLaaS) Market
8.4.5. South Korea Machine Learning as a Service (MLaaS) Market
8.4.6. Rest of Asia Pacific Machine Learning as a Service (MLaaS) Market
8.5. Latin America Machine Learning as a Service (MLaaS) Market Snapshot
8.5.1. Brazil Machine Learning as a Service (MLaaS) Market
8.5.2. Mexico Machine Learning as a Service (MLaaS) Market
8.6. Rest of The World Machine Learning as a Service (MLaaS) Market
Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. Fair Isaac Corporation (FICO)
9.2.1.1. Key Information
9.2.1.2. Overview
9.2.1.3. Financial (Subject to Data Availability)
9.2.1.4. Product Summary
9.2.1.5. Recent Developments
9.2.2. Microsoft Corporation
9.2.3. Hewlett Packard Enterprise Company
9.2.4. Yottamine Analytics LLC
9.2.5. Amazon Web Services Inc.
9.2.6. Iflowsoft Solutions Inc.
9.2.7. IBM Corporation
9.2.8. SAS Institute Inc.
9.2.9. Google LLC
9.2.10. BigML Inc.
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption