1 Report Overview

• 1.1 Study Scope
• 1.2 Market Analysis by Type
  • 1.2.1 Global Data Science Platform Market Size Growth Rate by Type: 2020 VS 2026
  • 1.2.2 On-Premises
  • 1.2.3 On-Demand
• 1.3 Market by Application
  • 1.3.1 Global Data Science Platform Market Share by Application: 2020 VS 2026
  • 1.3.2 Marketing
  • 1.3.3 Sales
  • 1.3.4 Logistics
  • 1.3.5 Risk
  • 1.3.6 Customer Support
  • 1.3.7 Human Resources
  • 1.3.8 Operations
• 1.4 Study Objectives
• 1.5 Years Considered

2 Global Growth Trends

• 2.1 Global Data Science Platform Market Perspective (2015-2026)
• 2.2 Global Data Science Platform Growth Trends by Regions
  • 2.2.1 Data Science Platform Market Size by Regions: 2015 VS 2020 VS 2026
  • 2.2.2 Data Science Platform Historic Market Share by Regions (2015-2020)
  • 2.2.3 Data Science Platform Forecasted Market Size by Regions (2021-2026)
• 2.3 Industry Trends and Growth Strategy
  • 2.3.1 Market Trends
  • 2.3.2 Market Drivers
  • 2.3.3 Market Challenges
  • 2.3.4 Market Restraints

3 Competition Landscape by Key Players

• 3.1 Global Top Data Science Platform Players by Market Size
  • 3.1.1 Global Top Data Science Platform Players by Revenue (2015-2020)
  • 3.1.2 Global Data Science Platform Revenue Market Share by Players (2015-2020)
• 3.2 Global Data Science Platform Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
• 3.3 Players Covered: Ranking by Data Science Platform Revenue
• 3.4 Global Data Science Platform Market Concentration Ratio
  • 3.4.1 Global Data Science Platform Market Concentration Ratio (CR5 and HHI)
  • 3.4.2 Global Top 10 and Top 5 Companies by Data Science Platform Revenue in 2019
• 3.5 Key Players Data Science Platform Area Served
• 3.6 Key Players Data Science Platform Product Solution and Service
• 3.7 Date of Enter into Data Science Platform Market
• 3.8 Mergers & Acquisitions, Expansion Plans

4 Data Science Platform Breakdown Data by Type (2015-2026)

• 4.1 Global Data Science Platform Historic Market Size by Type (2015-2020)
• 4.2 Global Data Science Platform Forecasted Market Size by Type (2021-2026)

5 Data Science Platform Breakdown Data by Application (2015-2026)

• 5.1 Global Data Science Platform Historic Market Size by Application (2015-2020)
• 5.2 Global Data Science Platform Forecasted Market Size by Application (2021-2026)

6 North America

• 6.1 North America Data Science Platform Market Size (2015-2026)
• 6.2 North America Data Science Platform Market Size by Type (2015-2020)
• 6.3 North America Data Science Platform Market Size by Application (2015-2020)
• 6.4 North America Data Science Platform Market Size by Country (2015-2020)
  • 6.4.1 United States
  • 6.4.2 Canada

7 Europe

• 7.1 Europe Data Science Platform Market Size (2015-2026)
• 7.2 Europe Data Science Platform Market Size by Type (2015-2020)
• 7.3 Europe Data Science Platform Market Size by Application (2015-2020)
• 7.4 Europe Data Science Platform Market Size by Country (2015-2020)
  • 7.4.1 Germany
  • 7.4.2 France
  • 7.4.3 U.K.
  • 7.4.4 Italy
  • 7.4.5 Russia
  • 7.4.6 Nordic
  • 7.4.7 Rest of Europe

8 China

• 8.1 China Data Science Platform Market Size (2015-2026)
• 8.2 China Data Science Platform Market Size by Type (2015-2020)
• 8.3 China Data Science Platform Market Size by Application (2015-2020)
• 8.4 China Data Science Platform Market Size by Region (2015-2020)
  • 8.4.1 China
  • 8.4.2 Japan
  • 8.4.3 South Korea
  • 8.4.4 Southeast Asia
  • 8.4.5 India
  • 8.4.6 Australia
  • 8.4.7 Rest of Asia-Pacific

9 Japan

• 9.1 Japan Data Science Platform Market Size (2015-2026)
• 9.2 Japan Data Science Platform Market Size by Type (2015-2020)
• 9.3 Japan Data Science Platform Market Size by Application (2015-2020)
• 9.4 Japan Data Science Platform Market Size by Country (2015-2020)
  • 9.4.1 Mexico
  • 9.4.2 Brazil

10 Southeast Asia

• 10.1 Southeast Asia Data Science Platform Market Size (2015-2026)
• 10.2 Southeast Asia Data Science Platform Market Size by Type (2015-2020)
• 10.3 Southeast Asia Data Science Platform Market Size by Application (2015-2020)
• 10.4 Southeast Asia Data Science Platform Market Size by Country (2015-2020)
  • 10.4.1 Turkey
  • 10.4.2 Saudi Arabia
  • 10.4.3 UAE
  • 10.4.4 Rest of Middle East & Africa

11 Key Players Profiles

• 11.1 Microsoft
  • 11.1.1 Microsoft Company Details
  • 11.1.2 Microsoft Business Overview
  • 11.1.3 Microsoft Data Science Platform Introduction
  • 11.1.4 Microsoft Revenue in Data Science Platform Business (2015-2020))
  • 11.1.5 Microsoft Recent Development
• 11.2 IBM
  • 11.2.1 IBM Company Details
  • 11.2.2 IBM Business Overview
  • 11.2.3 IBM Data Science Platform Introduction
  • 11.2.4 IBM Revenue in Data Science Platform Business (2015-2020)
  • 11.2.5 IBM Recent Development
• 11.3 Google
  • 11.3.1 Google Company Details
  • 11.3.2 Google Business Overview
  • 11.3.3 Google Data Science Platform Introduction
  • 11.3.4 Google Revenue in Data Science Platform Business (2015-2020)
  • 11.3.5 Google Recent Development
• 11.4 Wolfram
  • 11.4.1 Wolfram Company Details
  • 11.4.2 Wolfram Business Overview
  • 11.4.3 Wolfram Data Science Platform Introduction
  • 11.4.4 Wolfram Revenue in Data Science Platform Business (2015-2020)
  • 11.4.5 Wolfram Recent Development
• 11.5 Datarobot
  • 11.5.1 Datarobot Company Details
  • 11.5.2 Datarobot Business Overview
  • 11.5.3 Datarobot Data Science Platform Introduction
  • 11.5.4 Datarobot Revenue in Data Science Platform Business (2015-2020)
  • 11.5.5 Datarobot Recent Development
• 11.6 Cloudera
  • 11.6.1 Cloudera Company Details
  • 11.6.2 Cloudera Business Overview
  • 11.6.3 Cloudera Data Science Platform Introduction
  • 11.6.4 Cloudera Revenue in Data Science Platform Business (2015-2020)
  • 11.6.5 Cloudera Recent Development
• 11.7 Rapidminer
  • 11.7.1 Rapidminer Company Details
  • 11.7.2 Rapidminer Business Overview
  • 11.7.3 Rapidminer Data Science Platform Introduction
  • 11.7.4 Rapidminer Revenue in Data Science Platform Business (2015-2020)
  • 11.7.5 Rapidminer Recent Development
• 11.8 Domino Data Lab
  • 11.8.1 Domino Data Lab Company Details
  • 11.8.2 Domino Data Lab Business Overview
  • 11.8.3 Domino Data Lab Data Science Platform Introduction
  • 11.8.4 Domino Data Lab Revenue in Data Science Platform Business (2015-2020)
  • 11.8.5 Domino Data Lab Recent Development
• 11.9 Dataiku
  • 11.9.1 Dataiku Company Details
  • 11.9.2 Dataiku Business Overview
  • 11.9.3 Dataiku Data Science Platform Introduction
  • 11.9.4 Dataiku Revenue in Data Science Platform Business (2015-2020)
  • 11.9.5 Dataiku Recent Development
• 11.10 Alteryx
  • 11.10.1 Alteryx Company Details
  • 11.10.2 Alteryx Business Overview
  • 11.10.3 Alteryx Data Science Platform Introduction
  • 11.10.4 Alteryx Revenue in Data Science Platform Business (2015-2020)
  • 11.10.5 Alteryx Recent Development
• 11.11 Continuum Analytics
  • 10.11.1 Continuum Analytics Company Details
  • 10.11.2 Continuum Analytics Business Overview
  • 10.11.3 Continuum Analytics Data Science Platform Introduction
  • 10.11.4 Continuum Analytics Revenue in Data Science Platform Business (2015-2020)
  • 10.11.5 Continuum Analytics Recent Development
• 11.12 Bridgei2i Analytics
  • 10.12.1 Bridgei2i Analytics Company Details
  • 10.12.2 Bridgei2i Analytics Business Overview
  • 10.12.3 Bridgei2i Analytics Data Science Platform Introduction
  • 10.12.4 Bridgei2i Analytics Revenue in Data Science Platform Business (2015-2020)
  • 10.12.5 Bridgei2i Analytics Recent Development
• 11.13 Datarpm
  • 10.13.1 Datarpm Company Details
  • 10.13.2 Datarpm Business Overview
  • 10.13.3 Datarpm Data Science Platform Introduction
  • 10.13.4 Datarpm Revenue in Data Science Platform Business (2015-2020)
  • 10.13.5 Datarpm Recent Development
• 11.14 Rexer Analytics
  • 10.14.1 Rexer Analytics Company Details
  • 10.14.2 Rexer Analytics Business Overview
  • 10.14.3 Rexer Analytics Data Science Platform Introduction
  • 10.14.4 Rexer Analytics Revenue in Data Science Platform Business (2015-2020)
  • 10.14.5 Rexer Analytics Recent Development
• 11.15 Feature Labs
  • 10.15.1 Feature Labs Company Details
  • 10.15.2 Feature Labs Business Overview
  • 10.15.3 Feature Labs Data Science Platform Introduction
  • 10.15.4 Feature Labs Revenue in Data Science Platform Business (2015-2020)
  • 10.15.5 Feature Labs Recent Development

12 Analyst's Viewpoints/Conclusions

13 Appendix

• 13.1 Research Methodology
  • 13.1.1 Methodology/Research Approach
  • 13.1.2 Data Source
• 13.2 Disclaimer

Global Data Science Platform Scope and Market Size
Data Science Platform market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Data Science Platform market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.

Market segment by Type, the product can be split into
On-Premises
On-Demand

Market segment by Application, split into
Marketing
Sales
Logistics
Risk
Customer Support
Human Resources
Operations

Based on regional and country-level analysis, the Data Science Platform market has been segmented as follows:
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia-Pacific
Latin America
Mexico
Brazil
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of Middle East & Africa

In the competitive analysis section of the report, leading as well as prominent players of the global Data Science Platform market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by player for the period 2015-2020.
The key players covered in this study
Microsoft
IBM
Google
Wolfram
Datarobot
Cloudera
Rapidminer
Domino Data Lab
Dataiku
Alteryx
Continuum Analytics
Bridgei2i Analytics
Datarpm
Rexer Analytics
Feature Labs