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
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.