TABLE OF CONTENTS

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2018-2026 (USD Billion)
1.2.1. Data Science Platform Market, by Region, 2018-2026 (USD Billion)
1.2.2. Data Science Platform Market, by Type, 2018-2026 (USD Billion)
1.2.3. Data Science Platform Market, by Application, 2018-2026 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Data Science Platform 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 Data Science Platform Market Dynamics
3.1. Data Science Platform Market Impact Analysis (2018-2026)
3.1.1. Market Drivers
3.1.2. Market Challenges
3.1.3. Market Opportunities
Chapter 4. Global Data Science Platform 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 (2016-2026)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Data Science Platform Market, by Type
5.1. Market Snapshot
5.2. Global Data Science Platform Market by Type, Performance - Potential Analysis
5.3. Global Data Science Platform Market Estimates & Forecasts by Type 2016-2026 (USD Billion)
5.4. Data Science Platform Market, Sub Segment Analysis
5.4.1. Solutions
5.4.2. Services
Chapter 6. Global Data Science Platform Market, by Application
6.1. Market Snapshot
6.2. Global Data Science Platform Market by Application, Performance - Potential Analysis
6.3. Global Data Science Platform Market Estimates & Forecasts by Application 2016-2026 (USD Billion)
6.4. Data Science Platform Market, Sub Segment Analysis
6.4.1. BFSI
6.4.2. Telecommunication
6.4.3. Transportation and Logistics
6.4.4. Healthcare
6.4.5. Manufacturing
6.4.6. Others
Chapter 7. Global Data Science Platform Market, Regional Analysis
7.1. Data Science Platform Market, Regional Market Snapshot
7.2. North America Data Science Platform Market
7.2.1. U.S. Data Science Platform Market
7.2.1.1. Type breakdown estimates & forecasts, 2016-2026
7.2.1.2. Application breakdown estimates & forecasts, 2016-2026
7.2.2. Canada Data Science Platform Market
7.3. Europe Data Science Platform Market Snapshot
7.3.1. U.K. Data Science Platform Market
7.3.2. Germany Data Science Platform Market
7.3.3. Rest of Europe Data Science Platform Market
7.4. Asia-Pacific Data Science Platform Market Snapshot
7.4.1. China Data Science Platform Market
7.4.2. India Data Science Platform Market
7.4.3. Japan Data Science Platform Market
7.4.4. Rest of Asia Pacific Data Science Platform Market
7.5. Latin America Data Science Platform Market Snapshot
7.5.1. Brazil Data Science Platform Market
7.5.2. Mexico Data Science Platform Market
7.6. Rest of The World Data Science Platform Market

Chapter 8. Competitive Intelligence
8.1. Top Market Strategies
8.2. Company Profiles
8.2.1. Microsoft Corporation
8.2.1.1. Key Information
8.2.1.2. Overview
8.2.1.3. Financial (Subject to Data Availability)
8.2.1.4. Technology Summary
8.2.1.5. Recent Developments
8.2.2. IBM Corporation
8.2.3. SAS Institute, Inc.
8.2.4. SAP SE
8.2.5. RapidMiner, Inc.
8.2.6. Dataiku SAS
8.2.7. Alteryx, Inc
8.2.8. Fair Issac Corporation (FICO)
8.2.9. MathWorks, Inc
8.2.10. Teradata, Corporation
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption