1. EXECUTIVE SUMMARY
2. MARKET SNAPSHOT
2.1. Market Overview
2.2. Market Definition
2.3. Scope of the Study
2.4. Market Segmentation
3. BUSINESS LANDSCAPE
3.1. Market Drivers
3.2. Market Restraints
3.3. Market Opportunities
3.4. Porter’s Five Forces Analysis
3.5. Industry Value Chain Analysis
3.6. Policies and Regulations
3.7. Strategic Recommendations
4. TECHNOLOGICAL OUTLOOK
5. DATA SCIENCE PLATFORM MARKET BY OFFERING
5.1. Introduction
5.2. Solutions
5.3. Services
6. DATA SCIENCE PLATFORM MARKET BY DEPLOYMENT
6.1. Introduction
6.2. Cloud
6.3. On-premise
7. DATA SCIENCE PLATFORM MARKET BY ENTERPRISE SIZE
7.1. Introduction
7.2. Small and Medium Enterprises (SMEs)
7.3. Large Enterprises
8. DATA SCIENCE PLATFORM MARKET BY END-USERS INDUSTRY
8.1. Introduction
8.2. BFSI
8.3. Communication and IT
8.4. Retail
8.5. Media and Entertainment
8.6. Manufacturing
8.7. Healthcare
8.8. Others
9. DATA SCIENCE PLATFORM MARKET BY GEOGRAPHY
9.1. Introduction
9.2. North America
9.2.1. USA
9.2.2. Canada
9.2.3. Mexico
9.3. South America
9.3.1. Brazil
9.3.2. Argentina
9.3.3. Others
9.4. Europe
9.4.1. United Kingdom
9.4.2. Germany
9.4.3. France
9.4.4. Italy
9.4.5. Spain
9.4.6. Others
9.5. Middle East and Africa
9.5.1. Saudi Arabia
9.5.2. UAE
9.5.3. Others
9.6. Asia Pacific
9.6.1. China
9.6.2. Japan
9.6.3. India
9.6.4. South Korea
9.6.5. Taiwan
9.6.6. Thailand
9.6.7. Indosneisa
9.6.8. Others
10. COMPETITIVE ENVIRONMENT AND ANALYSIS
10.1. Major Players and Strategy Analysis
10.2. Market Share Analysis
10.3. Mergers, Acquisitions, Agreements, and Collaborations
10.4. Competitive Dashboard
11. COMPANY PROFILES
11.1. Microsoft Corporation
11.2. IBM
11.3. Google LLC
11.4. Oracle Corporation
11.5. SAS Institute Inc.
11.6. Cloudera, Inc.
11.7. RapidMiner, Inc. (Altair)
11.8. Domino Data Lab, Inc.
11.9. Alteryx Inc.
11.10. Dataiku SAS
12. APPENDIX
12.1. Currency
12.2. Assumptions
12.3. Base and Forecast Years Timeline
12.4. Key benefits for the stakeholders
12.5. Research Methodology
12.6.Abbreviations