Global Data Science and Machine-Learning Platforms Market 2022 by Company, Regions, Type and Application, Forecast to 2028

  • ID:PD009043
  • January 2022
  • GIR (Global Info Research)
                          

The Global Data Science and Machine-Learning Platforms Market 2022 by Company, Regions, Type and Application, Forecast to 2028 Market report segments the market by type (Open Source Data Integration Tools, Cloud-based Data Integration Tools) and by application (by Application, can be divided into, Small-Sized Enterprises, Medium-Sized Enterprise, Large Enterprises). This report covers the key market players such as SAS, Alteryx, IBM, RapidMiner, KNIME, Microsoft, Dataiku, Databricks, TIBCO Software, MathWorks, H20.ai, Anaconda, SAP, Google, Domino Data Lab, Angoss, Lexalytics, Rapid Insight.

The Data Science and Machine-Learning Platforms Market 2022 by Company, Regions, Type and Application, Forecast to 2028 industry report is a complete market study which ensures availability of insightful data and strategic information. Market statistics such as global Data Science and Machine-Learning Platforms Market 2022 by Company, Regions, Type and Application, Forecast to 2028 market size, estimated and forecasted data for next 6 years with breakdown at regional and country level is covered in the report. The market segmentation by type and application along with manufacturers profile and share gives a clear understanding of the market dynamics. The analysis on sales along with the study of latest developments in the past years - covering product launches, mergers and technological innovation is covered in the report. 

The report on Data Science and Machine-Learning Platforms Market 2022 by Company, Regions, Type and Application, Forecast to 2028 market explores the upcoming opportunities in the industry, thus assisting in strategic decision making by the reader. The report covers volume and/or revenue (as applicable) data and the CAGR of the market calculated considering multiple quantitative and qualitative analytical tools.

Market segment by Type, covers

  • Open Source Data Integration Tools
  • Cloud-based Data Integration Tools

Market segment by Application, can be divided into
  • Small-Sized Enterprises
  • Medium-Sized Enterprise
  • Large Enterprises

The key market players for this report are listed below:
  • SAS
  • Alteryx
  • IBM
  • RapidMiner
  • KNIME
  • Microsoft
  • Dataiku
  • Databricks
  • TIBCO Software
  • MathWorks
  • H20.ai
  • Anaconda
  • SAP
  • Google
  • Domino Data Lab
  • Angoss
  • Lexalytics
  • Rapid Insight

The standard report covers the below regions and countries - 
  • North America Region Covering - (United States, Canada and Mexico)
  • Europe Region Covering - (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
  • Asia-Pacific Region Covering - (China, Japan, Korea, India, Southeast Asia, and Australia)
  • South America Region Covering - (Brazil, Argentina, Colombia, and Rest of South America)
  • Middle East & Africa Region Covering - (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa).

We also provide customized report covering specific countries/companies or segments on request.

1 Market Overview
    1.1 Product Overview and Scope of Data Science and Machine-Learning Platforms
    1.2 Classification of Data Science and Machine-Learning Platforms by Type
        1.2.1 Overview: Global Data Science and Machine-Learning Platforms Market Size by Type
        1.2.2 Global Data Science and Machine-Learning Platforms Revenue Market Share by Type
        1.2.3 Open Source Data Integration Tools
        1.2.4 Cloud-based Data Integration Tools
    1.3 Global Data Science and Machine-Learning Platforms Market by Application
        1.3.1 Overview: Global Data Science and Machine-Learning Platforms Market Size by Application
        1.3.2 Small-Sized Enterprises
        1.3.3 Medium-Sized Enterprise
        1.3.4 Large Enterprises
    1.4 Global Data Science and Machine-Learning Platforms Market Size & Forecast
    1.5 Global Data Science and Machine-Learning Platforms Market Size and Forecast by Region
        1.5.1 Global Data Science and Machine-Learning Platforms Market Size by Region: 
        1.5.2 Global Data Science and Machine-Learning Platforms Market Size by Region,
        1.5.3 North America Data Science and Machine-Learning Platforms Market Size and Prospect 
        1.5.4 Europe Data Science and Machine-Learning Platforms Market Size and Prospect 
        1.5.5 Asia-Pacific Data Science and Machine-Learning Platforms Market Size and Prospect 
        1.5.6 South America Data Science and Machine-Learning Platforms Market Size and Prospect 
        1.5.7 Middle East and Africa Data Science and Machine-Learning Platforms Market Size and Prospect 
    1.6 Market Drivers, Restraints and Trends
        1.6.1 Data Science and Machine-Learning Platforms Market Drivers
        1.6.2 Data Science and Machine-Learning Platforms Market Restraints
        1.6.3 Data Science and Machine-Learning Platforms Trends Analysis

2 Company Profiles
    2.1 SAS
        2.1.1 SAS Details
        2.1.2 SAS Major Business
        2.1.3 SAS Data Science and Machine-Learning Platforms Product and Solutions
        2.1.4 SAS Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.1.5 SAS Recent Developments and Future Plans
    2.2 Alteryx
        2.2.1 Alteryx Details
        2.2.2 Alteryx Major Business
        2.2.3 Alteryx Data Science and Machine-Learning Platforms Product and Solutions
        2.2.4 Alteryx Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.2.5 Alteryx Recent Developments and Future Plans
    2.3 IBM
        2.3.1 IBM Details
        2.3.2 IBM Major Business
        2.3.3 IBM Data Science and Machine-Learning Platforms Product and Solutions
        2.3.4 IBM Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.3.5 IBM Recent Developments and Future Plans
    2.4 RapidMiner
        2.4.1 RapidMiner Details
        2.4.2 RapidMiner Major Business
        2.4.3 RapidMiner Data Science and Machine-Learning Platforms Product and Solutions
        2.4.4 RapidMiner Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.4.5 RapidMiner Recent Developments and Future Plans
    2.5 KNIME
        2.5.1 KNIME Details
        2.5.2 KNIME Major Business
        2.5.3 KNIME Data Science and Machine-Learning Platforms Product and Solutions
        2.5.4 KNIME Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.5.5 KNIME Recent Developments and Future Plans
    2.6 Microsoft
        2.6.1 Microsoft Details
        2.6.2 Microsoft Major Business
        2.6.3 Microsoft Data Science and Machine-Learning Platforms Product and Solutions
        2.6.4 Microsoft Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.6.5 Microsoft Recent Developments and Future Plans
    2.7 Dataiku
        2.7.1 Dataiku Details
        2.7.2 Dataiku Major Business
        2.7.3 Dataiku Data Science and Machine-Learning Platforms Product and Solutions
        2.7.4 Dataiku Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.7.5 Dataiku Recent Developments and Future Plans
    2.8 Databricks
        2.8.1 Databricks Details
        2.8.2 Databricks Major Business
        2.8.3 Databricks Data Science and Machine-Learning Platforms Product and Solutions
        2.8.4 Databricks Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.8.5 Databricks Recent Developments and Future Plans
    2.9 TIBCO Software
        2.9.1 TIBCO Software Details
        2.9.2 TIBCO Software Major Business
        2.9.3 TIBCO Software Data Science and Machine-Learning Platforms Product and Solutions
        2.9.4 TIBCO Software Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.9.5 TIBCO Software Recent Developments and Future Plans
    2.10 MathWorks 
        2.10.1 MathWorks Details
        2.10.2 MathWorks Major Business
        2.10.3 MathWorks Data Science and Machine-Learning Platforms Product and Solutions
        2.10.4 MathWorks Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.10.5 MathWorks Recent Developments and Future Plans
    2.11 H20.ai
        2.11.1 H20.ai Details
        2.11.2 H20.ai Major Business
        2.11.3 H20.ai Data Science and Machine-Learning Platforms Product and Solutions
        2.11.4 H20.ai Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.11.5 H20.ai Recent Developments and Future Plans
    2.12 Anaconda
        2.12.1 Anaconda Details
        2.12.2 Anaconda Major Business
        2.12.3 Anaconda Data Science and Machine-Learning Platforms Product and Solutions
        2.12.4 Anaconda Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.12.5 Anaconda Recent Developments and Future Plans
    2.13 SAP
        2.13.1 SAP Details
        2.13.2 SAP Major Business
        2.13.3 SAP Data Science and Machine-Learning Platforms Product and Solutions
        2.13.4 SAP Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.13.5 SAP Recent Developments and Future Plans
    2.14 Google
        2.14.1 Google Details
        2.14.2 Google Major Business
        2.14.3 Google Data Science and Machine-Learning Platforms Product and Solutions
        2.14.4 Google Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.14.5 Google Recent Developments and Future Plans
    2.15 Domino Data Lab
        2.15.1 Domino Data Lab Details
        2.15.2 Domino Data Lab Major Business
        2.15.3 Domino Data Lab Data Science and Machine-Learning Platforms Product and Solutions
        2.15.4 Domino Data Lab Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.15.5 Domino Data Lab Recent Developments and Future Plans
    2.16 Angoss
        2.16.1 Angoss Details
        2.16.2 Angoss Major Business
        2.16.3 Angoss Data Science and Machine-Learning Platforms Product and Solutions
        2.16.4 Angoss Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.16.5 Angoss Recent Developments and Future Plans
    2.17 Lexalytics
        2.17.1 Lexalytics Details
        2.17.2 Lexalytics Major Business
        2.17.3 Lexalytics Data Science and Machine-Learning Platforms Product and Solutions
        2.17.4 Lexalytics Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.17.5 Lexalytics Recent Developments and Future Plans
    2.18 Rapid Insight
        2.18.1 Rapid Insight Details
        2.18.2 Rapid Insight Major Business
        2.18.3 Rapid Insight Data Science and Machine-Learning Platforms Product and Solutions
        2.18.4 Rapid Insight Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share 
        2.18.5 Rapid Insight Recent Developments and Future Plans

3 Market Competition, by Players
    3.1 Global Data Science and Machine-Learning Platforms Revenue and Share by Players 
    3.2 Market Concentration Rate
        3.2.1 Top 3 Data Science and Machine-Learning Platforms Players Market Share
        3.2.2 Top 10 Data Science and Machine-Learning Platforms Players Market Share
        3.2.3 Market Competition Trend
    3.3 Data Science and Machine-Learning Platforms Players Head Office, Products and Services Provided
    3.4 Data Science and Machine-Learning Platforms Mergers & Acquisitions
    3.5 Data Science and Machine-Learning Platforms New Entrants and Expansion Plans

4 Market Size Segment by Type
    4.1 Global Data Science and Machine-Learning Platforms Revenue and Market Share by Type
    4.2 Global Data Science and Machine-Learning Platforms Market Forecast by Type (2023-2028)

5 Market Size Segment by Application
    5.1 Global Data Science and Machine-Learning Platforms Revenue Market Share by Application
    5.2 Global Data Science and Machine-Learning Platforms Market Forecast by Application (2023-2028)

6 North America by Country, by Type, and by Application
    6.1 North America Data Science and Machine-Learning Platforms Revenue by Type 
    6.2 North America Data Science and Machine-Learning Platforms Revenue by Application 
    6.3 North America Data Science and Machine-Learning Platforms Market Size by Country
        6.3.1 North America Data Science and Machine-Learning Platforms Revenue by Country 
        6.3.2 United States Data Science and Machine-Learning Platforms Market Size and Forecast 
        6.3.3 Canada Data Science and Machine-Learning Platforms Market Size and Forecast 
        6.3.4 Mexico Data Science and Machine-Learning Platforms Market Size and Forecast 

7 Europe by Country, by Type, and by Application
    7.1 Europe Data Science and Machine-Learning Platforms Revenue by Type 
    7.2 Europe Data Science and Machine-Learning Platforms Revenue by Application 
    7.3 Europe Data Science and Machine-Learning Platforms Market Size by Country
        7.3.1 Europe Data Science and Machine-Learning Platforms Revenue by Country 
        7.3.2 Germany Data Science and Machine-Learning Platforms Market Size and Forecast 
        7.3.3 France Data Science and Machine-Learning Platforms Market Size and Forecast 
        7.3.4 United Kingdom Data Science and Machine-Learning Platforms Market Size and Forecast 
        7.3.5 Russia Data Science and Machine-Learning Platforms Market Size and Forecast 
        7.3.6 Italy Data Science and Machine-Learning Platforms Market Size and Forecast 

8 Asia-Pacific by Region, by Type, and by Application
    8.1 Asia-Pacific Data Science and Machine-Learning Platforms Revenue by Type 
    8.2 Asia-Pacific Data Science and Machine-Learning Platforms Revenue by Application 
    8.3 Asia-Pacific Data Science and Machine-Learning Platforms Market Size by Region
        8.3.1 Asia-Pacific Data Science and Machine-Learning Platforms Revenue by Region 
        8.3.2 China Data Science and Machine-Learning Platforms Market Size and Forecast 
        8.3.3 Japan Data Science and Machine-Learning Platforms Market Size and Forecast 
        8.3.4 South Korea Data Science and Machine-Learning Platforms Market Size and Forecast 
        8.3.5 India Data Science and Machine-Learning Platforms Market Size and Forecast 
        8.3.6 Southeast Asia Data Science and Machine-Learning Platforms Market Size and Forecast 
        8.3.7 Australia Data Science and Machine-Learning Platforms Market Size and Forecast 

9 South America by Country, by Type, and by Application
    9.1 South America Data Science and Machine-Learning Platforms Revenue by Type 
    9.2 South America Data Science and Machine-Learning Platforms Revenue by Application 
    9.3 South America Data Science and Machine-Learning Platforms Market Size by Country
        9.3.1 South America Data Science and Machine-Learning Platforms Revenue by Country 
        9.3.2 Brazil Data Science and Machine-Learning Platforms Market Size and Forecast 
        9.3.3 Argentina Data Science and Machine-Learning Platforms Market Size and Forecast 

10 Middle East & Africa by Country, by Type, and by Application
    10.1 Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Type 
    10.2 Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Application 
    10.3 Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Country
        10.3.1 Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Country 
        10.3.2 Turkey Data Science and Machine-Learning Platforms Market Size and Forecast 
        10.3.3 Saudi Arabia Data Science and Machine-Learning Platforms Market Size and Forecast 
        10.3.4 UAE Data Science and Machine-Learning Platforms Market Size and Forecast 

11 Research Findings and Conclusion

12 Appendix
    12.1 Methodology
    12.2 Research Process and Data Source
    12.3 Disclaimer

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