Report Detail

Service & Software Global Data Science and Machine-Learning Platforms Market Size, Status and Forecast 2019-2025

  • RnM3476507
  • |
  • 26 May, 2020
  • |
  • Global
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  • 103 Pages
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  • QYResearch
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  • Service & Software

This report covers market size and forecasts of Data Science and Machine-Learning Platforms, including the following market information:
Global Data Science and Machine-Learning Platforms Market Size, 2019-2021, and 2020 (quarterly data), (US$ Million)
Global Data Science and Machine-Learning Platforms Market Size by Type and by Application, 2019-2021, and 2020 (quarterly data), (US$ Million)
Global Data Science and Machine-Learning Platforms Market Size by Region (and Key Countries), 2019-2021, and 2020 (quarterly data), (US$ Million)
Global Data Science and Machine-Learning Platforms Market Size by Company, 2019- 2020 (quarterly data), (US$ Million)

Key market players
Major competitors identified in this market include SAS, Alteryx, IBM, RapidMiner, KNIME, Microsoft, Dataiku, Databricks, TIBCO Software, MathWorks, H20.ai, Anaconda, SAP, Google, Domino Data Lab, Angoss, Lexalytics, Rapid Insight, etc.

Based on the Region:
Asia-Pacific (China, Japan, South Korea, India and ASEAN)
North America (US and Canada)
Europe (Germany, France, UK and Italy)
Rest of World (Latin America, Middle East & Africa)

Based on the Type:
Open Source Data Integration Tools
Cloud-based Data Integration Tools

Based on the Application:
Small-Sized Enterprises
Medium-Sized Enterprise
Large Enterprises


  • 1.1 Research Scope
  • 1.2 Market Segmentation
  • 1.3 Research Objectives
  • 1.4 Research Methodology
    • 1.4.1 Research Process
    • 1.4.2 Data Triangulation
    • 1.4.3 Research Approach
    • 1.4.4 Base Year
  • 1.5 Coronavirus Disease 2019 (Covid-19) Impact Will Have a Severe Impact on Global Growth
    • 1.5.1 Covid-19 Impact: Global GDP Growth, 2019, 2020 and 2021 Projections
    • 1.5.2 Covid-19 Impact: Commodity Prices Indices
    • 1.5.3 Covid-19 Impact: Global Major Government Policy
  • 1.6 The Covid-19 Impact on Data Science and Machine-Learning Platforms Industry
  • 1.7 COVID-19 Impact: Data Science and Machine-Learning Platforms Market Trends
  • 2 Global Data Science and Machine-Learning Platforms Quarterly Market Size Analysis

    • 2.1 Data Science and Machine-Learning Platforms Business Impact Assessment - COVID-19
      • 2.1.1 Global Data Science and Machine-Learning Platforms Market Size, Pre-COVID-19 and Post- COVID-19 Comparison, 2015-2026
    • 2.2 Global Data Science and Machine-Learning Platforms Quarterly Market Size 2020-2021
    • 2.3 COVID-19-Driven Market Dynamics and Factor Analysis
      • 2.3.1 Drivers
      • 2.3.2 Restraints
      • 2.3.3 Opportunities
      • 2.3.4 Challenges

    3 Quarterly Competitive Assessment, 2020

    • 3.1 By Players, Global Data Science and Machine-Learning Platforms Quarterly Market Size, 2019 VS 2020
    • 3.2 By Players, Data Science and Machine-Learning Platforms Headquarters and Area Served
    • 3.3 Date of Key Players Enter into Data Science and Machine-Learning Platforms Market
    • 3.4 Key Players Data Science and Machine-Learning Platforms Product Offered
    • 3.5 Mergers & Acquisitions, Expansion Plans

    4 Impact of Covid-19 on Data Science and Machine-Learning Platforms Segments, By Type

    • 4.1 Introduction
      • 1.4.1 Open Source Data Integration Tools
      • 1.4.2 Cloud-based Data Integration Tools
    • 4.2 By Type, Global Data Science and Machine-Learning Platforms Market Size, 2019-2021

    5 Impact of Covid-19 on Data Science and Machine-Learning Platforms Segments, By Application

    • 5.1 Overview
      • 5.5.1 Small-Sized Enterprises
      • 5.5.2 Medium-Sized Enterprise
      • 5.5.3 Large Enterprises
    • 5.2 By Application, Global Data Science and Machine-Learning Platforms Market Size, 2019-2021
      • 5.2.1 By Application, Global Data Science and Machine-Learning Platforms Market Size by Application, 2019-2021

    6 Geographic Analysis

    • 6.1 Introduction
    • 6.2 North America
      • 6.2.1 Macroeconomic Indicators of US
      • 6.2.2 US
      • 6.2.3 Canada
    • 6.3 Europe
      • 6.3.1 Macroeconomic Indicators of Europe
      • 6.3.2 Germany
      • 6.3.3 France
      • 6.3.4 UK
      • 6.3.5 Italy
    • 6.4 Asia-Pacific
      • 6.4.1 Macroeconomic Indicators of Asia-Pacific
      • 6.4.2 China
      • 6.4.3 Japan
      • 6.4.4 South Korea
      • 6.4.5 India
      • 6.4.6 ASEAN
    • 6.5 Rest of World
      • 6.5.1 Latin America
      • 6.5.2 Middle East and Africa

    7 Company Profiles

    • 7.1 SAS
      • 7.1.1 SAS Business Overview
      • 7.1.2 SAS Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.1.3 SAS Data Science and Machine-Learning Platforms Product Introduction
      • 7.1.4 SAS Response to COVID-19 and Related Developments
    • 7.2 Alteryx
      • 7.2.1 Alteryx Business Overview
      • 7.2.2 Alteryx Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.2.3 Alteryx Data Science and Machine-Learning Platforms Product Introduction
      • 7.2.4 Alteryx Response to COVID-19 and Related Developments
    • 7.3 IBM
      • 7.3.1 IBM Business Overview
      • 7.3.2 IBM Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.3.3 IBM Data Science and Machine-Learning Platforms Product Introduction
      • 7.3.4 IBM Response to COVID-19 and Related Developments
    • 7.4 RapidMiner
      • 7.4.1 RapidMiner Business Overview
      • 7.4.2 RapidMiner Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.4.3 RapidMiner Data Science and Machine-Learning Platforms Product Introduction
      • 7.4.4 RapidMiner Response to COVID-19 and Related Developments
    • 7.5 KNIME
      • 7.5.1 KNIME Business Overview
      • 7.5.2 KNIME Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.5.3 KNIME Data Science and Machine-Learning Platforms Product Introduction
      • 7.5.4 KNIME Response to COVID-19 and Related Developments
    • 7.6 Microsoft
      • 7.6.1 Microsoft Business Overview
      • 7.6.2 Microsoft Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.6.3 Microsoft Data Science and Machine-Learning Platforms Product Introduction
      • 7.6.4 Microsoft Response to COVID-19 and Related Developments
    • 7.7 Dataiku
      • 7.7.1 Dataiku Business Overview
      • 7.7.2 Dataiku Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.7.3 Dataiku Data Science and Machine-Learning Platforms Product Introduction
      • 7.7.4 Dataiku Response to COVID-19 and Related Developments
    • 7.8 Databricks
      • 7.8.1 Databricks Business Overview
      • 7.8.2 Databricks Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.8.3 Databricks Data Science and Machine-Learning Platforms Product Introduction
      • 7.8.4 Databricks Response to COVID-19 and Related Developments
    • 7.9 TIBCO Software
      • 7.9.1 TIBCO Software Business Overview
      • 7.9.2 TIBCO Software Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.9.3 TIBCO Software Data Science and Machine-Learning Platforms Product Introduction
      • 7.9.4 TIBCO Software Response to COVID-19 and Related Developments
    • 7.10 MathWorks
      • 7.10.1 MathWorks Business Overview
      • 7.10.2 MathWorks Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.10.3 MathWorks Data Science and Machine-Learning Platforms Product Introduction
      • 7.10.4 MathWorks Response to COVID-19 and Related Developments
    • 7.11 H20.ai
      • 7.11.1 H20.ai Business Overview
      • 7.11.2 H20.ai Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.11.3 H20.ai Data Science and Machine-Learning Platforms Product Introduction
      • 7.11.4 H20.ai Response to COVID-19 and Related Developments
    • 7.12 Anaconda
      • 7.12.1 Anaconda Business Overview
      • 7.12.2 Anaconda Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.12.3 Anaconda Data Science and Machine-Learning Platforms Product Introduction
      • 7.12.4 Anaconda Response to COVID-19 and Related Developments
    • 7.13 SAP
      • 7.13.1 SAP Business Overview
      • 7.13.2 SAP Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.13.3 SAP Data Science and Machine-Learning Platforms Product Introduction
      • 7.13.4 SAP Response to COVID-19 and Related Developments
    • 7.14 Google
      • 7.14.1 Google Business Overview
      • 7.14.2 Google Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.14.3 Google Data Science and Machine-Learning Platforms Product Introduction
      • 7.14.4 Google Response to COVID-19 and Related Developments
    • 7.15 Domino Data Lab
      • 7.15.1 Domino Data Lab Business Overview
      • 7.15.2 Domino Data Lab Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.15.3 Domino Data Lab Data Science and Machine-Learning Platforms Product Introduction
      • 7.15.4 Domino Data Lab Response to COVID-19 and Related Developments
    • 7.16 Angoss
      • 7.16.1 Angoss Business Overview
      • 7.16.2 Angoss Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.16.3 Angoss Data Science and Machine-Learning Platforms Product Introduction
      • 7.16.4 Angoss Response to COVID-19 and Related Developments
    • 7.17 Lexalytics
      • 7.17.1 Lexalytics Business Overview
      • 7.17.2 Lexalytics Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.17.3 Lexalytics Data Science and Machine-Learning Platforms Product Introduction
      • 7.17.4 Lexalytics Response to COVID-19 and Related Developments
    • 7.18 Rapid Insight
      • 7.18.1 Rapid Insight Business Overview
      • 7.18.2 Rapid Insight Data Science and Machine-Learning Platforms Quarterly Revenue, 2020
      • 7.18.3 Rapid Insight Data Science and Machine-Learning Platforms Product Introduction
      • 7.18.4 Rapid Insight Response to COVID-19 and Related Developments

    8 Key Findings

      9 Appendix

      • 9.1 About US

      Summary:
      Get latest Market Research Reports on Data Science and Machine-Learning Platforms. Industry analysis & Market Report on Data Science and Machine-Learning Platforms is a syndicated market report, published as Global Data Science and Machine-Learning Platforms Market Size, Status and Forecast 2019-2025. It is complete Research Study and Industry Analysis of Data Science and Machine-Learning Platforms market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.

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