Global Data Science and Machine-Learning Platforms Market Size, Status and Forecast 2020-2026

1 Report Overview

• 1.1 Study Scope
• 1.2 Key Market Segments
• 1.3 Players Covered: Ranking by Data Science and Machine-Learning Platforms Revenue
• 1.4 Market by Type
  • 1.4.1 Global Data Science and Machine-Learning Platforms Market Size Growth Rate by Type: 2020 VS 2026
  • 1.4.2 Open Source Data Integration Tools
  • 1.4.3 Cloud-based Data Integration Tools
• 1.5 Market by Application
  • 1.5.1 Global Data Science and Machine-Learning Platforms Market Share by Application: 2020 VS 2026
  • 1.5.2 Small-Sized Enterprises
  • 1.5.3 Medium-Sized Enterprise
  • 1.5.4 Large Enterprises
• 1.6 Study Objectives
• 1.7 Years Considered

2 Global Growth Trends

• 2.1 Global Data Science and Machine-Learning Platforms Market Perspective (2015-2026)
• 2.2 Global Data Science and Machine-Learning Platforms Growth Trends by Regions
  • 2.2.1 Data Science and Machine-Learning Platforms Market Size by Regions: 2015 VS 2020 VS 2026
  • 2.2.2 Data Science and Machine-Learning Platforms Historic Market Share by Regions (2015-2020)
  • 2.2.3 Data Science and Machine-Learning Platforms Forecasted Market Size by Regions (2021-2026)
• 2.3 Industry Trends and Growth Strategy
  • 2.3.1 Market Top Trends
  • 2.3.2 Market Drivers
  • 2.3.3 Market Challenges
  • 2.3.4 Porter’s Five Forces Analysis
  • 2.3.5 Data Science and Machine-Learning Platforms Market Growth Strategy
  • 2.3.6 Primary Interviews with Key Data Science and Machine-Learning Platforms Players (Opinion Leaders)

3 Competition Landscape by Key Players

• 3.1 Global Top Data Science and Machine-Learning Platforms Players by Market Size
  • 3.1.1 Global Top Data Science and Machine-Learning Platforms Players by Revenue (2015-2020)
  • 3.1.2 Global Data Science and Machine-Learning Platforms Revenue Market Share by Players (2015-2020)
  • 3.1.3 Global Data Science and Machine-Learning Platforms Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
• 3.2 Global Data Science and Machine-Learning Platforms Market Concentration Ratio
  • 3.2.1 Global Data Science and Machine-Learning Platforms Market Concentration Ratio (CR5 and HHI)
  • 3.2.2 Global Top 10 and Top 5 Companies by Data Science and Machine-Learning Platforms Revenue in 2019
• 3.3 Data Science and Machine-Learning Platforms Key Players Head office and Area Served
• 3.4 Key Players Data Science and Machine-Learning Platforms Product Solution and Service
• 3.5 Date of Enter into Data Science and Machine-Learning Platforms Market
• 3.6 Mergers & Acquisitions, Expansion Plans

4 Market Size by Type (2015-2026)

• 4.1 Global Data Science and Machine-Learning Platforms Historic Market Size by Type (2015-2020)
• 4.2 Global Data Science and Machine-Learning Platforms Forecasted Market Size by Type (2021-2026)

5 Market Size by Application (2015-2026)

• 5.1 Global Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)
• 5.2 Global Data Science and Machine-Learning Platforms Forecasted Market Size by Application (2021-2026)

6 North America

• 6.1 North America Data Science and Machine-Learning Platforms Market Size (2015-2020)
• 6.2 Data Science and Machine-Learning Platforms Key Players in North America (2019-2020)
• 6.3 North America Data Science and Machine-Learning Platforms Market Size by Type (2015-2020)
• 6.4 North America Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)

7 Europe

• 7.1 Europe Data Science and Machine-Learning Platforms Market Size (2015-2020)
• 7.2 Data Science and Machine-Learning Platforms Key Players in Europe (2019-2020)
• 7.3 Europe Data Science and Machine-Learning Platforms Market Size by Type (2015-2020)
• 7.4 Europe Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)

8 China

• 8.1 China Data Science and Machine-Learning Platforms Market Size (2015-2020)
• 8.2 Data Science and Machine-Learning Platforms Key Players in China (2019-2020)
• 8.3 China Data Science and Machine-Learning Platforms Market Size by Type (2015-2020)
• 8.4 China Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)

9 Japan

• 9.1 Japan Data Science and Machine-Learning Platforms Market Size (2015-2020)
• 9.2 Data Science and Machine-Learning Platforms Key Players in Japan (2019-2020)
• 9.3 Japan Data Science and Machine-Learning Platforms Market Size by Type (2015-2020)
• 9.4 Japan Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)

10 Southeast Asia

• 10.1 Southeast Asia Data Science and Machine-Learning Platforms Market Size (2015-2020)
• 10.2 Data Science and Machine-Learning Platforms Key Players in Southeast Asia (2019-2020)
• 10.3 Southeast Asia Data Science and Machine-Learning Platforms Market Size by Type (2015-2020)
• 10.4 Southeast Asia Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)

11 India

• 11.1 India Data Science and Machine-Learning Platforms Market Size (2015-2020)
• 11.2 Data Science and Machine-Learning Platforms Key Players in India (2019-2020)
• 11.3 India Data Science and Machine-Learning Platforms Market Size by Type (2015-2020)
• 11.4 India Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)

12 Central & South America

• 12.1 Central & South America Data Science and Machine-Learning Platforms Market Size (2015-2020)
• 12.2 Data Science and Machine-Learning Platforms Key Players in Central & South America (2019-2020)
• 12.3 Central & South America Data Science and Machine-Learning Platforms Market Size by Type (2015-2020)
• 12.4 Central & South America Data Science and Machine-Learning Platforms Market Size by Application (2015-2020)

13 Key Players Profiles

• 13.1 SAS
  • 13.1.1 SAS Company Details
  • 13.1.2 SAS Business Overview
  • 13.1.3 SAS Data Science and Machine-Learning Platforms Introduction
  • 13.1.4 SAS Revenue in Data Science and Machine-Learning Platforms Business (2015-2020))
  • 13.1.5 SAS Recent Development
• 13.2 Alteryx
  • 13.2.1 Alteryx Company Details
  • 13.2.2 Alteryx Business Overview
  • 13.2.3 Alteryx Data Science and Machine-Learning Platforms Introduction
  • 13.2.4 Alteryx Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  • 13.2.5 Alteryx Recent Development
• 13.3 IBM
  • 13.3.1 IBM Company Details
  • 13.3.2 IBM Business Overview
  • 13.3.3 IBM Data Science and Machine-Learning Platforms Introduction
  • 13.3.4 IBM Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  • 13.3.5 IBM Recent Development
• 13.4 RapidMiner
  • 13.4.1 RapidMiner Company Details
  • 13.4.2 RapidMiner Business Overview
  • 13.4.3 RapidMiner Data Science and Machine-Learning Platforms Introduction
  • 13.4.4 RapidMiner Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  • 13.4.5 RapidMiner Recent Development
• 13.5 KNIME
  • 13.5.1 KNIME Company Details
  • 13.5.2 KNIME Business Overview
  • 13.5.3 KNIME Data Science and Machine-Learning Platforms Introduction
  • 13.5.4 KNIME Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  • 13.5.5 KNIME Recent Development
• 13.6 Microsoft
  • 13.6.1 Microsoft Company Details
  • 13.6.2 Microsoft Business Overview
  • 13.6.3 Microsoft Data Science and Machine-Learning Platforms Introduction
  • 13.6.4 Microsoft Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  • 13.6.5 Microsoft Recent Development
• 13.7 Dataiku
  • 13.7.1 Dataiku Company Details
  • 13.7.2 Dataiku Business Overview
  • 13.7.3 Dataiku Data Science and Machine-Learning Platforms Introduction
  • 13.7.4 Dataiku Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  • 13.7.5 Dataiku Recent Development
• 13.8 Databricks
  • 13.8.1 Databricks Company Details
  • 13.8.2 Databricks Business Overview
  • 13.8.3 Databricks Data Science and Machine-Learning Platforms Introduction
  • 13.8.4 Databricks Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  • 13.8.5 Databricks Recent Development
• 13.9 TIBCO Software
  • 13.9.1 TIBCO Software Company Details
  • 13.9.2 TIBCO Software Business Overview
  • 13.9.3 TIBCO Software Data Science and Machine-Learning Platforms Introduction
  • 13.9.4 TIBCO Software Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  • 13.9.5 TIBCO Software Recent Development
• 13.10 MathWorks
  • 13.10.1 MathWorks Company Details
  • 13.10.2 MathWorks Business Overview
  • 13.10.3 MathWorks Data Science and Machine-Learning Platforms Introduction
  • 13.10.4 MathWorks Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  • 13.10.5 MathWorks Recent Development
• 13.11 H20.ai
  • 10.11.1 H20.ai Company Details
  • 10.11.2 H20.ai Business Overview
  • 10.11.3 H20.ai Data Science and Machine-Learning Platforms Introduction
  • 10.11.4 H20.ai Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  • 10.11.5 H20.ai Recent Development
• 13.12 Anaconda
  • 10.12.1 Anaconda Company Details
  • 10.12.2 Anaconda Business Overview
  • 10.12.3 Anaconda Data Science and Machine-Learning Platforms Introduction
  • 10.12.4 Anaconda Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  • 10.12.5 Anaconda Recent Development
• 13.13 SAP
  • 10.13.1 SAP Company Details
  • 10.13.2 SAP Business Overview
  • 10.13.3 SAP Data Science and Machine-Learning Platforms Introduction
  • 10.13.4 SAP Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  • 10.13.5 SAP Recent Development
• 13.14 Google
  • 10.14.1 Google Company Details
  • 10.14.2 Google Business Overview
  • 10.14.3 Google Data Science and Machine-Learning Platforms Introduction
  • 10.14.4 Google Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  • 10.14.5 Google Recent Development
• 13.15 Domino Data Lab
  • 10.15.1 Domino Data Lab Company Details
  • 10.15.2 Domino Data Lab Business Overview
  • 10.15.3 Domino Data Lab Data Science and Machine-Learning Platforms Introduction
  • 10.15.4 Domino Data Lab Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  • 10.15.5 Domino Data Lab Recent Development
• 13.16 Angoss
  • 10.16.1 Angoss Company Details
  • 10.16.2 Angoss Business Overview
  • 10.16.3 Angoss Data Science and Machine-Learning Platforms Introduction
  • 10.16.4 Angoss Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  • 10.16.5 Angoss Recent Development
• 13.17 Lexalytics
  • 10.17.1 Lexalytics Company Details
  • 10.17.2 Lexalytics Business Overview
  • 10.17.3 Lexalytics Data Science and Machine-Learning Platforms Introduction
  • 10.17.4 Lexalytics Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  • 10.17.5 Lexalytics Recent Development
• 13.18 Rapid Insight
  • 10.18.1 Rapid Insight Company Details
  • 10.18.2 Rapid Insight Business Overview
  • 10.18.3 Rapid Insight Data Science and Machine-Learning Platforms Introduction
  • 10.18.4 Rapid Insight Revenue in Data Science and Machine-Learning Platforms Business (2015-2020)
  • 10.18.5 Rapid Insight Recent Development

14 Analyst's Viewpoints/Conclusions

15 Appendix

• 15.1 Research Methodology
  • 15.1.1 Methodology/Research Approach
  • 15.1.2 Data Source
• 15.2 Disclaimer