Chapter/Section Purchase

Leave This Empty:

Data Science and ML Platforms Market Size - Global Outlook and Forecast 2022-2028

Choose Chapter/Section to Purchase

List of Chapters/Sections(Table Of Content)
1 Introduction to Research & Analysis Reports
1.1 Data Science and ML Platforms Market Definition
1.2 Market Segments
1.2.1 Market by Type
1.2.2 Market by Application
1.3 Global Data Science and ML Platforms Market Overview
1.4 Features & Benefits of This Report
1.5 Methodology & Sources of Information
1.5.1 Research Methodology
1.5.2 Research Process
1.5.3 Base Year
1.5.4 Report Assumptions & Caveats
2 Global Data Science and ML Platforms Overall Market Size
2.1 Global Data Science and ML Platforms Market Size: 2021 VS 2028
2.2 Global Data Science and ML Platforms Market Size, Prospects & Forecasts: 2017-2028
2.3 Key Market Trends, Opportunity, Drivers and Restraints
2.3.1 Market Opportunities & Trends
2.3.2 Market Drivers
2.3.3 Market Restraints
3 Company Landscape
3.1 Top Data Science and ML Platforms Players in Global Market
3.2 Top Global Data Science and ML Platforms Companies Ranked by Revenue
3.3 Global Data Science and ML Platforms Revenue by Companies
3.4 Top 3 and Top 5 Data Science and ML Platforms Companies in Global Market, by Revenue in 2021
3.5 Global Companies Data Science and ML Platforms Product Type
3.6 Tier 1, Tier 2 and Tier 3 Data Science and ML Platforms Players in Global Market
3.6.1 List of Global Tier 1 Data Science and ML Platforms Companies
3.6.2 List of Global Tier 2 and Tier 3 Data Science and ML Platforms Companies
4 Market Sights by Product
4.1 Overview
4.1.1 by Type - Global Data Science and ML Platforms Market Size Markets, 2021 & 2028
4.1.2 Cloud-based
4.1.3 On-premises
4.2 By Type - Global Data Science and ML Platforms Revenue & Forecasts
4.2.1 By Type - Global Data Science and ML Platforms Revenue, 2017-2022
4.2.2 By Type - Global Data Science and ML Platforms Revenue, 2023-2028
4.2.3 By Type - Global Data Science and ML Platforms Revenue Market Share, 2017-2028
5 Sights by Application
5.1 Overview
5.1.1 By Application - Global Data Science and ML Platforms Market Size, 2021 & 2028
5.1.2 Small and Medium Enterprises (SMEs)
5.1.3 Large Enterprises
5.2 By Application - Global Data Science and ML Platforms Revenue & Forecasts
5.2.1 By Application - Global Data Science and ML Platforms Revenue, 2017-2022
5.2.2 By Application - Global Data Science and ML Platforms Revenue, 2023-2028
5.2.3 By Application - Global Data Science and ML Platforms Revenue Market Share, 2017-2028
6 Sights by Region
6.1 By Region - Global Data Science and ML Platforms Market Size, 2021 & 2028
6.2 By Region - Global Data Science and ML Platforms Revenue & Forecasts
6.2.1 By Region - Global Data Science and ML Platforms Revenue, 2017-2022
6.2.2 By Region - Global Data Science and ML Platforms Revenue, 2023-2028
6.2.3 By Region - Global Data Science and ML Platforms Revenue Market Share, 2017-2028
6.3 North America
6.3.1 By Country - North America Data Science and ML Platforms Revenue, 2017-2028
6.3.2 US Data Science and ML Platforms Market Size, 2017-2028
6.3.3 Canada Data Science and ML Platforms Market Size, 2017-2028
6.3.4 Mexico Data Science and ML Platforms Market Size, 2017-2028
6.4 Europe
6.4.1 By Country - Europe Data Science and ML Platforms Revenue, 2017-2028
6.4.2 Germany Data Science and ML Platforms Market Size, 2017-2028
6.4.3 France Data Science and ML Platforms Market Size, 2017-2028
6.4.4 U.K. Data Science and ML Platforms Market Size, 2017-2028
6.4.5 Italy Data Science and ML Platforms Market Size, 2017-2028
6.4.6 Russia Data Science and ML Platforms Market Size, 2017-2028
6.4.7 Nordic Countries Data Science and ML Platforms Market Size, 2017-2028
6.4.8 Benelux Data Science and ML Platforms Market Size, 2017-2028
6.5 Asia
6.5.1 By Region - Asia Data Science and ML Platforms Revenue, 2017-2028
6.5.2 China Data Science and ML Platforms Market Size, 2017-2028
6.5.3 Japan Data Science and ML Platforms Market Size, 2017-2028
6.5.4 South Korea Data Science and ML Platforms Market Size, 2017-2028
6.5.5 Southeast Asia Data Science and ML Platforms Market Size, 2017-2028
6.5.6 India Data Science and ML Platforms Market Size, 2017-2028
6.6 South America
6.6.1 By Country - South America Data Science and ML Platforms Revenue, 2017-2028
6.6.2 Brazil Data Science and ML Platforms Market Size, 2017-2028
6.6.3 Argentina Data Science and ML Platforms Market Size, 2017-2028
6.7 Middle East & Africa
6.7.1 By Country - Middle East & Africa Data Science and ML Platforms Revenue, 2017-2028
6.7.2 Turkey Data Science and ML Platforms Market Size, 2017-2028
6.7.3 Israel Data Science and ML Platforms Market Size, 2017-2028
6.7.4 Saudi Arabia Data Science and ML Platforms Market Size, 2017-2028
6.7.5 UAE Data Science and ML Platforms Market Size, 2017-2028
7 Players Profiles
7.1 Palantier
7.1.1 Palantier Corporate Summary
7.1.2 Palantier Business Overview
7.1.3 Palantier Data Science and ML Platforms Major Product Offerings
7.1.4 Palantier Data Science and ML Platforms Revenue in Global Market (2017-2022)
7.1.5 Palantier Key News
7.2 MathWorks
7.2.1 MathWorks Corporate Summary
7.2.2 MathWorks Business Overview
7.2.3 MathWorks Data Science and ML Platforms Major Product Offerings
7.2.4 MathWorks Data Science and ML Platforms Revenue in Global Market (2017-2022)
7.2.5 MathWorks Key News
7.3 Alteryx
7.3.1 Alteryx Corporate Summary
7.3.2 Alteryx Business Overview
7.3.3 Alteryx Data Science and ML Platforms Major Product Offerings
7.3.4 Alteryx Data Science and ML Platforms Revenue in Global Market (2017-2022)
7.3.5 Alteryx Key News
7.4 SAS
7.4.1 SAS Corporate Summary
7.4.2 SAS Business Overview
7.4.3 SAS Data Science and ML Platforms Major Product Offerings
7.4.4 SAS Data Science and ML Platforms Revenue in Global Market (2017-2022)
7.4.5 SAS Key News
7.5 Databricks
7.5.1 Databricks Corporate Summary
7.5.2 Databricks Business Overview
7.5.3 Databricks Data Science and ML Platforms Major Product Offerings
7.5.4 Databricks Data Science and ML Platforms Revenue in Global Market (2017-2022)
7.5.5 Databricks Key News
7.6 TIBCO Software
7.6.1 TIBCO Software Corporate Summary
7.6.2 TIBCO Software Business Overview
7.6.3 TIBCO Software Data Science and ML Platforms Major Product Offerings
7.6.4 TIBCO Software Data Science and ML Platforms Revenue in Global Market (2017-2022)
7.6.5 TIBCO Software Key News
7.7 Dataiku
7.7.1 Dataiku Corporate Summary
7.7.2 Dataiku Business Overview
7.7.3 Dataiku Data Science and ML Platforms Major Product Offerings
7.7.4 Dataiku Data Science and ML Platforms Revenue in Global Market (2017-2022)
7.7.5 Dataiku Key News
7.8 H2O.ai
7.8.1 H2O.ai Corporate Summary
7.8.2 H2O.ai Business Overview
7.8.3 H2O.ai Data Science and ML Platforms Major Product Offerings
7.8.4 H2O.ai Data Science and ML Platforms Revenue in Global Market (2017-2022)
7.8.5 H2O.ai Key News
7.9 IBM
7.9.1 IBM Corporate Summary
7.9.2 IBM Business Overview
7.9.3 IBM Data Science and ML Platforms Major Product Offerings
7.9.4 IBM Data Science and ML Platforms Revenue in Global Market (2017-2022)
7.9.5 IBM Key News
7.10 Microsoft
7.10.1 Microsoft Corporate Summary
7.10.2 Microsoft Business Overview
7.10.3 Microsoft Data Science and ML Platforms Major Product Offerings
7.10.4 Microsoft Data Science and ML Platforms Revenue in Global Market (2017-2022)
7.10.5 Microsoft Key News
7.11 Google
7.11.1 Google Corporate Summary
7.11.2 Google Business Overview
7.11.3 Google Data Science and ML Platforms Major Product Offerings
7.11.4 Google Data Science and ML Platforms Revenue in Global Market (2017-2022)
7.11.5 Google Key News
7.12 KNIME
7.12.1 KNIME Corporate Summary
7.12.2 KNIME Business Overview
7.12.3 KNIME Data Science and ML Platforms Major Product Offerings
7.12.4 KNIME Data Science and ML Platforms Revenue in Global Market (2017-2022)
7.12.5 KNIME Key News
7.13 DataRobot
7.13.1 DataRobot Corporate Summary
7.13.2 DataRobot Business Overview
7.13.3 DataRobot Data Science and ML Platforms Major Product Offerings
7.13.4 DataRobot Data Science and ML Platforms Revenue in Global Market (2017-2022)
7.13.5 DataRobot Key News
7.14 RapidMiner
7.14.1 RapidMiner Corporate Summary
7.14.2 RapidMiner Business Overview
7.14.3 RapidMiner Data Science and ML Platforms Major Product Offerings
7.14.4 RapidMiner Data Science and ML Platforms Revenue in Global Market (2017-2022)
7.14.5 RapidMiner Key News
7.15 Anaconda
7.15.1 Anaconda Corporate Summary
7.15.2 Anaconda Business Overview
7.15.3 Anaconda Data Science and ML Platforms Major Product Offerings
7.15.4 Anaconda Data Science and ML Platforms Revenue in Global Market (2017-2022)
7.15.5 Anaconda Key News
7.16 Domino
7.16.1 Domino Corporate Summary
7.16.2 Domino Business Overview
7.16.3 Domino Data Science and ML Platforms Major Product Offerings
7.16.4 Domino Data Science and ML Platforms Revenue in Global Market (2017-2022)
7.16.5 Domino Key News
7.17 Altair
7.17.1 Altair Corporate Summary
7.17.2 Altair Business Overview
7.17.3 Altair Data Science and ML Platforms Major Product Offerings
7.17.4 Altair Data Science and ML Platforms Revenue in Global Market (2017-2022)
7.17.5 Altair Key News
8 Conclusion
9 Appendix
9.1 Note
9.2 Examples of Clients
9.3 Disclaimer