Reports - Machine learning as a service Market
Technology & MediaMachine learning as a service Market
Machine learning as a service Market Valuation and Future Projections to 2035 by Software Tool and Services (Software Tools, Data Storage and Archiving, Cloud and Web-based Application Programming Interface (APIs), Others (Model Validator, Decision Report/Predictor/Training, and Report Storage)), by Service (Professional Services, Managed Services), by Enterprise Applications (Marketing and Advertising, Risk Analytics and Fraud Detection, Predictive Maintenance (Pattern recognition & generation, anomaly detection), Augmented Reality (Pattern recognition & generation, object recognition, automated simulation, prediction/recommendation)), by Organization Size (SMEs, Large Enterprises), by Region (North America, Europe, Asia Pacific, Latin America and Middle East & Africa
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Table of Contents
Chapter 1 Executive Dashboard
1. Strategic Imperatives
Chapter 2 Premium Insights
1. Top 3 Trends to Watch
2. Demand and Supply Trends
3. Top 3 Strategies Followed by Major Players
4. Top 3 Predictions by Vantage Market Research
5. Top Investment Pockets
6. Insights from Primary Respondents
Chapter 3 Global Machine learning as a service Market - Segment Analysis
1. Overview
2. Global Machine learning as a service Market, 2019 - 2030 (USD Million)
3. Global Machine learning as a service Market - by Software Tool and Services
3.1. By Software Tools
3.2. By Data Storage and Archiving
3.3. By Cloud and Web-based Application Programming Interface (APIs)
3.4. By Others (Model Validator, Decision Report/Predictor/Training, and Report Storage)
4. Global Machine learning as a service Market - by Service
4.1. By Professional Services
4.2. By Managed Services
5. Global Machine learning as a service Market - by Enterprise Applications
5.1. By Marketing and Advertising
5.2. By Risk Analytics and Fraud Detection
5.3. By Predictive Maintenance (Pattern recognition & generation, anomaly detection)
5.4. By Augmented Reality (Pattern recognition & generation, object recognition, automated simulation, prediction/recommendation)
5.5. By Network Analytics and Automated Traffic Management (SDN and NFV/ automated traffic generation/ etc.)
5.6. By Others (data classification, recommendation engines, social media and customer analytics, sales lifecycle management)
6. Global Machine learning as a service Market - by Organization Size
6.1. By SMEs
6.2. By Large Enterprises
7. Global Machine learning as a service Market - by region
7.1. North America
7.2. Europe
7.3. Asia Pacific
7.4. Latin America
7.5. Middle East & Africa
8. Market comparative analysis
Chapter 4 North America Machine learning as a service Market - Segment Analysis
1. Overview
2. North America Machine learning as a service Market, 2019 - 2030 (USD Million)
3. North America Machine learning as a service Market - by Software Tool and Services
3.1. By Software Tools
3.2. By Data Storage and Archiving
3.3. By Cloud and Web-based Application Programming Interface (APIs)
3.4. By Others (Model Validator, Decision Report/Predictor/Training, and Report Storage)
4. North America Machine learning as a service Market - by Service
4.1. By Professional Services
4.2. By Managed Services
5. North America Machine learning as a service Market - by Enterprise Applications
5.1. By Marketing and Advertising
5.2. By Risk Analytics and Fraud Detection
5.3. By Predictive Maintenance (Pattern recognition & generation, anomaly detection)
5.4. By Augmented Reality (Pattern recognition & generation, object recognition, automated simulation, prediction/recommendation)
5.5. By Network Analytics and Automated Traffic Management (SDN and NFV/ automated traffic generation/ etc.)
5.6. By Others (data classification, recommendation engines, social media and customer analytics, sales lifecycle management)
6. North America Machine learning as a service Market - by Organization Size
6.1. By SMEs
6.2. By Large Enterprises
Chapter 5 Europe Machine learning as a service Market - Segment Analysis
1. Overview
2. Europe Machine learning as a service Market, 2019 - 2030 (USD Million)
3. Europe Machine learning as a service Market - by Software Tool and Services
3.1. By Software Tools
3.2. By Data Storage and Archiving
3.3. By Cloud and Web-based Application Programming Interface (APIs)
3.4. By Others (Model Validator, Decision Report/Predictor/Training, and Report Storage)
4. Europe Machine learning as a service Market - by Service
4.1. By Professional Services
4.2. By Managed Services
5. Europe Machine learning as a service Market - by Enterprise Applications
5.1. By Marketing and Advertising
5.2. By Risk Analytics and Fraud Detection
5.3. By Predictive Maintenance (Pattern recognition & generation, anomaly detection)
5.4. By Augmented Reality (Pattern recognition & generation, object recognition, automated simulation, prediction/recommendation)
5.5. By Network Analytics and Automated Traffic Management (SDN and NFV/ automated traffic generation/ etc.)
5.6. By Others (data classification, recommendation engines, social media and customer analytics, sales lifecycle management)
6. Europe Machine learning as a service Market - by Organization Size
6.1. By SMEs
6.2. By Large Enterprises
Chapter 6 Asia Pacific Machine learning as a service Market - Segment Analysis
1. Overview
2. Asia Pacific Machine learning as a service Market, 2019 - 2030 (USD Million)
3. Asia Pacific Machine learning as a service Market - by Software Tool and Services
3.1. By Software Tools
3.2. By Data Storage and Archiving
3.3. By Cloud and Web-based Application Programming Interface (APIs)
3.4. By Others (Model Validator, Decision Report/Predictor/Training, and Report Storage)
4. Asia Pacific Machine learning as a service Market - by Service
4.1. By Professional Services
4.2. By Managed Services
5. Asia Pacific Machine learning as a service Market - by Enterprise Applications
5.1. By Marketing and Advertising
5.2. By Risk Analytics and Fraud Detection
5.3. By Predictive Maintenance (Pattern recognition & generation, anomaly detection)
5.4. By Augmented Reality (Pattern recognition & generation, object recognition, automated simulation, prediction/recommendation)
5.5. By Network Analytics and Automated Traffic Management (SDN and NFV/ automated traffic generation/ etc.)
5.6. By Others (data classification, recommendation engines, social media and customer analytics, sales lifecycle management)
6. Asia Pacific Machine learning as a service Market - by Organization Size
6.1. By SMEs
6.2. By Large Enterprises
Chapter 7 Latin America Machine learning as a service Market - Segment Analysis
1. Overview
2. Latin America Machine learning as a service Market, 2019 - 2030 (USD Million)
3. Latin America Machine learning as a service Market - by Software Tool and Services
3.1. By Software Tools
3.2. By Data Storage and Archiving
3.3. By Cloud and Web-based Application Programming Interface (APIs)
3.4. By Others (Model Validator, Decision Report/Predictor/Training, and Report Storage)
4. Latin America Machine learning as a service Market - by Service
4.1. By Professional Services
4.2. By Managed Services
5. Latin America Machine learning as a service Market - by Enterprise Applications
5.1. By Marketing and Advertising
5.2. By Risk Analytics and Fraud Detection
5.3. By Predictive Maintenance (Pattern recognition & generation, anomaly detection)
5.4. By Augmented Reality (Pattern recognition & generation, object recognition, automated simulation, prediction/recommendation)
5.5. By Network Analytics and Automated Traffic Management (SDN and NFV/ automated traffic generation/ etc.)
5.6. By Others (data classification, recommendation engines, social media and customer analytics, sales lifecycle management)
6. Latin America Machine learning as a service Market - by Organization Size
6.1. By SMEs
6.2. By Large Enterprises
Chapter 8 Middle East & Africa Machine learning as a service Market - Segment Analysis
1. Overview
2. Middle East & Africa Machine learning as a service Market, 2019 - 2030 (USD Million)
3. Middle East & Africa Machine learning as a service Market - by Software Tool and Services
3.1. By Software Tools
3.2. By Data Storage and Archiving
3.3. By Cloud and Web-based Application Programming Interface (APIs)
3.4. By Others (Model Validator, Decision Report/Predictor/Training, and Report Storage)
4. Middle East & Africa Machine learning as a service Market - by Service
4.1. By Professional Services
4.2. By Managed Services
5. Middle East & Africa Machine learning as a service Market - by Enterprise Applications
5.1. By Marketing and Advertising
5.2. By Risk Analytics and Fraud Detection
5.3. By Predictive Maintenance (Pattern recognition & generation, anomaly detection)
5.4. By Augmented Reality (Pattern recognition & generation, object recognition, automated simulation, prediction/recommendation)
5.5. By Network Analytics and Automated Traffic Management (SDN and NFV/ automated traffic generation/ etc.)
5.6. By Others (data classification, recommendation engines, social media and customer analytics, sales lifecycle management)
6. Middle East & Africa Machine learning as a service Market - by Organization Size
6.1. By SMEs
6.2. By Large Enterprises
Chapter 9 Key Market Dynamics
1. Introduction
2. Market Drivers
3. Market Restraints
4. Market Opportunities
5. Porter's Five Forces Analysis
6. PEST Analysis
7. Regulatory Landscape
8. Technology Landscape
9. Regional Market Trends
Chapter 10 COVID 19 Impact Analysis
1. Key strategies undertaken by companies to tackle COVID-19
2. Short term dynamics
3. Long term dynamics
Chapter 11 Marketing Strategy Analysis
1. Marketing Channel
2. Direct Marketing
3. Indirect Marketing
4. Marketing Channel Development Trends
Chapter 12 Competitive Landscape
1. Competition Matrix - 2021
2. Company Market Share Analysis - 2021
3. Key Company Activities, 2018 - 2021
4. Strategic Developments - Heat Map Analysis
5. Company Offering Evaluation
6. Company Regional Presence Evaluation
Chapter 13 Company Profiles
1. Microsoft (Washington
2. US)
3. Amazon Web Services (Washington
4. US)
5. Hewlett Packard Enterprises (California
6. US)
7. Google Inc.(California
8. US)
9. BigML Inc. (Oregon
10. US)
11. FICO(California
12. US)
13. IBM Corporation (New York
14. US)
15. AT&T (Dallas
16. US)
17. Fuzzy.ai (Montreal
18. Canada)
19. Yottamine Analytics (Washington
20. US)
21. Ersatz Labs (California
22. US)
23. Sift-Science (California
24. US)
Chapter 14 Key Primary Respondents - VERBATIM
Chapter 15 Discussion Guide
Chapter 16 Customization Offered
Chapter 17 Annexure
Chapter 18 List of Figures
Chapter 19 List of Tables
Chapter 20 List of Abbreviations
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