List of Chapters/Sections(Table Of Content)
1 Study Coverage
1.1 Data Science and ML Platforms Revenue in Data Science and ML Platforms Business (2017-2022) & (US$ Million) Introduction
1.2 Global Data Science and ML Platforms Outlook 2017 VS 2022 VS 2028
1.2.1 Global Data Science and ML Platforms Market Size for the Year 2017-2028
1.2.2 Global Data Science and ML Platforms Market Size for the Year 2017-2028
1.3 Data Science and ML Platforms Market Size, United States VS Global, 2017 VS 2022 VS 2028
1.3.1 The Market Share of United States Data Science and ML Platforms in Global, 2017 VS 2022 VS 2028
1.3.2 The Growth Rate of Data Science and ML Platforms Market Size, United States VS Global, 2017 VS 2022 VS 2028
1.4 Data Science and ML Platforms Market Dynamics
1.4.1 Data Science and ML Platforms Industry Trends
1.4.2 Data Science and ML Platforms Market Drivers
1.4.3 Data Science and ML Platforms Market Challenges
1.4.4 Data Science and ML Platforms Market Restraints
1.5 Study Objectives
1.6 Years Considered
2 Data Science and ML Platforms by Type
2.1 Data Science and ML Platforms Market Segment by Type
2.1.1 Cloud-based
2.1.2 On-premises
2.2 Global Data Science and ML Platforms Market Size by Type (2017, 2022 & 2028)
2.3 Global Data Science and ML Platforms Market Size by Type (2017-2028)
2.4 United States Data Science and ML Platforms Market Size by Type (2017, 2022 & 2028)
2.5 United States Data Science and ML Platforms Market Size by Type (2017-2028)
3 Data Science and ML Platforms by Application
3.1 Data Science and ML Platforms Market Segment by Application
3.1.1 Small and Medium Enterprises (SMEs)
3.1.2 Large Enterprises
3.2 Global Data Science and ML Platforms Market Size by Application (2017, 2022 & 2028)
3.3 Global Data Science and ML Platforms Market Size by Application (2017-2028)
3.4 United States Data Science and ML Platforms Market Size by Application (2017, 2022 & 2028)
3.5 United States Data Science and ML Platforms Market Size by Application (2017-2028)
4 Global Data Science and ML Platforms Competitor Landscape by Company
4.1 Global Data Science and ML Platforms Market Size by Company
4.1.1 Top Global Data Science and ML Platforms Companies Ranked by Revenue (2021)
4.1.2 Global Data Science and ML Platforms Revenue by Player (2017-2022)
4.2 Global Data Science and ML Platforms Concentration Ratio (CR)
4.2.1 Data Science and ML Platforms Market Concentration Ratio (CR) (2017-2022)
4.2.2 Global Top 5 and Top 10 Largest Companies of Data Science and ML Platforms in 2021
4.2.3 Global Data Science and ML Platforms Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
4.3 Global Data Science and ML Platforms Headquarters, Revenue in Data Science and ML Platforms Business (2017-2022) & (US$ Million) Type
4.3.1 Global Data Science and ML Platforms Headquarters and Area Served
4.3.2 Global Data Science and ML Platforms Companies Revenue in Data Science and ML Platforms Business (2017-2022) & (US$ Million) Type
4.3.3 Date of International Companies Enter into Data Science and ML Platforms Market
4.4 Companies Mergers & Acquisitions, Expansion Plans
4.5 United States Data Science and ML Platforms Market Size by Company
4.5.1 Top Data Science and ML Platforms Players in United States, Ranked by Revenue (2021)
4.5.2 United States Data Science and ML Platforms Revenue by Players (2020, 2021 & 2022)
5 Global Data Science and ML Platforms Market Size by Region
5.1 Global Data Science and ML Platforms Market Size by Region: 2017 VS 2022 VS 2028
5.2 Global Data Science and ML Platforms Market Size by Region (2017-2028)
5.2.1 Global Data Science and ML Platforms Market Size by Region: 2017-2022
5.2.2 Global Data Science and ML Platforms Market Size by Region (2023-2028)
6 Segment in Region Level & Country Level
6.1 North America
6.1.1 North America Data Science and ML Platforms Market Size YoY Growth 2017-2028
6.1.2 North America Data Science and ML Platforms Market Facts & Figures by Country (2017, 2022 & 2028)
6.1.3 U.S.
6.1.4 Canada
6.2 Asia-Pacific
6.2.1 Asia-Pacific Data Science and ML Platforms Market Size YoY Growth 2017-2028
6.2.2 Asia-Pacific Data Science and ML Platforms Market Facts & Figures by Region (2017, 2022 & 2028)
6.2.3 China
6.2.4 Japan
6.2.5 South Korea
6.2.6 India
6.2.7 Australia
6.2.8 Taiwan
6.2.9 Indonesia
6.2.10 Thailand
6.2.11 Malaysia
6.2.12 Philippines
6.3 Europe
6.3.1 Europe Data Science and ML Platforms Market Size YoY Growth 2017-2028
6.3.2 Europe Data Science and ML Platforms Market Facts & Figures by Country (2017, 2022 & 2028)
6.3.3 Germany
6.3.4 France
6.3.5 U.K.
6.3.6 Italy
6.3.7 Russia
6.4 Latin America
6.4.1 Latin America Data Science and ML Platforms Market Size YoY Growth 2017-2028
6.4.2 Latin America Data Science and ML Platforms Market Facts & Figures by Country (2017, 2022 & 2028)
6.4.3 Mexico
6.4.4 Brazil
6.4.5 Argentina
6.5 Middle East and Africa
6.5.1 Middle East and Africa Data Science and ML Platforms Market Size YoY Growth 2017-2028
6.5.2 Middle East and Africa Data Science and ML Platforms Market Facts & Figures by Country (2017, 2022 & 2028)
6.5.3 Turkey
6.5.4 Saudi Arabia
6.5.5 UAE
7 Company Profiles
7.1 Palantier
7.1.1 Palantier Company Details
7.1.2 Palantier Business Overview
7.1.3 Palantier Data Science and ML Platforms Introduction
7.1.4 Palantier Revenue in Data Science and ML Platforms Business (2017-2022)
7.1.5 Palantier Recent Development
7.2 MathWorks
7.2.1 MathWorks Company Details
7.2.2 MathWorks Business Overview
7.2.3 MathWorks Data Science and ML Platforms Introduction
7.2.4 MathWorks Revenue in Data Science and ML Platforms Business (2017-2022)
7.2.5 MathWorks Recent Development
7.3 Alteryx
7.3.1 Alteryx Company Details
7.3.2 Alteryx Business Overview
7.3.3 Alteryx Data Science and ML Platforms Introduction
7.3.4 Alteryx Revenue in Data Science and ML Platforms Business (2017-2022)
7.3.5 Alteryx Recent Development
7.4 SAS
7.4.1 SAS Company Details
7.4.2 SAS Business Overview
7.4.3 SAS Data Science and ML Platforms Introduction
7.4.4 SAS Revenue in Data Science and ML Platforms Business (2017-2022)
7.4.5 SAS Recent Development
7.5 Databricks
7.5.1 Databricks Company Details
7.5.2 Databricks Business Overview
7.5.3 Databricks Data Science and ML Platforms Introduction
7.5.4 Databricks Revenue in Data Science and ML Platforms Business (2017-2022)
7.5.5 Databricks Recent Development
7.6 TIBCO Software
7.6.1 TIBCO Software Company Details
7.6.2 TIBCO Software Business Overview
7.6.3 TIBCO Software Data Science and ML Platforms Introduction
7.6.4 TIBCO Software Revenue in Data Science and ML Platforms Business (2017-2022)
7.6.5 TIBCO Software Recent Development
7.7 Dataiku
7.7.1 Dataiku Company Details
7.7.2 Dataiku Business Overview
7.7.3 Dataiku Data Science and ML Platforms Introduction
7.7.4 Dataiku Revenue in Data Science and ML Platforms Business (2017-2022)
7.7.5 Dataiku Recent Development
7.8 H2O.ai
7.8.1 H2O.ai Company Details
7.8.2 H2O.ai Business Overview
7.8.3 H2O.ai Data Science and ML Platforms Introduction
7.8.4 H2O.ai Revenue in Data Science and ML Platforms Business (2017-2022)
7.8.5 H2O.ai Recent Development
7.9 IBM
7.9.1 IBM Company Details
7.9.2 IBM Business Overview
7.9.3 IBM Data Science and ML Platforms Introduction
7.9.4 IBM Revenue in Data Science and ML Platforms Business (2017-2022)
7.9.5 IBM Recent Development
7.10 Microsoft
7.10.1 Microsoft Company Details
7.10.2 Microsoft Business Overview
7.10.3 Microsoft Data Science and ML Platforms Introduction
7.10.4 Microsoft Revenue in Data Science and ML Platforms Business (2017-2022)
7.10.5 Microsoft Recent Development
7.11 Google
7.11.1 Google Company Details
7.11.2 Google Business Overview
7.11.3 Google Data Science and ML Platforms Introduction
7.11.4 Google Revenue in Data Science and ML Platforms Business (2017-2022)
7.11.5 Google Recent Development
7.12 KNIME
7.12.1 KNIME Company Details
7.12.2 KNIME Business Overview
7.12.3 KNIME Data Science and ML Platforms Introduction
7.12.4 KNIME Revenue in Data Science and ML Platforms Business (2017-2022)
7.12.5 KNIME Recent Development
7.13 DataRobot
7.13.1 DataRobot Company Details
7.13.2 DataRobot Business Overview
7.13.3 DataRobot Data Science and ML Platforms Introduction
7.13.4 DataRobot Revenue in Data Science and ML Platforms Business (2017-2022)
7.13.5 DataRobot Recent Development
7.14 RapidMiner
7.14.1 RapidMiner Company Details
7.14.2 RapidMiner Business Overview
7.14.3 RapidMiner Data Science and ML Platforms Introduction
7.14.4 RapidMiner Revenue in Data Science and ML Platforms Business (2017-2022)
7.14.5 RapidMiner Recent Development
7.15 Anaconda
7.15.1 Anaconda Company Details
7.15.2 Anaconda Business Overview
7.15.3 Anaconda Data Science and ML Platforms Introduction
7.15.4 Anaconda Revenue in Data Science and ML Platforms Business (2017-2022)
7.15.5 Anaconda Recent Development
7.16 Domino
7.16.1 Domino Company Details
7.16.2 Domino Business Overview
7.16.3 Domino Data Science and ML Platforms Introduction
7.16.4 Domino Revenue in Data Science and ML Platforms Business (2017-2022)
7.16.5 Domino Recent Development
7.17 Altair
7.17.1 Altair Company Details
7.17.2 Altair Business Overview
7.17.3 Altair Data Science and ML Platforms Introduction
7.17.4 Altair Revenue in Data Science and ML Platforms Business (2017-2022)
7.17.5 Altair Recent Development
8 Research Findings and Conclusion
9 Appendix
9.1 Research Methodology
9.1.1 Methodology/Research Approach
9.1.2 Data Source
9.2 Author Details
9.3 Disclaimer
