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Global Data Science and Machine-Learning Platforms Market Research Report 2022 - Market Size, Current Insights and Development Trends

The report focuses on the Data Science and Machine-Learning Platforms market size, segment size (mainly covering product type, application, and geography), competitor landscape, recent status, and development trends. Furthermore, the report provides strategies for companies to overcome threats posed by COVID-19. Technological innovation and advancement will further optimize the performance of the product, enabling it to acquire a wider range of applications in the downstream market. Moreover, customer preference analysis, market dynamics (drivers, restraints, opportunities), new product release, impact of COVID-19, regional conflicts and carbon neutrality provide crucial information for us to take a deep dive into the Data Science and Machine-Learning Platforms market. Major Players in the Data Science and Machine-Learning Platforms market are: TIBCO Software IBM SAP Anaconda Rapid Insight Angoss Lexalytics Microsoft KNIME Databricks MathWorks Google Dataiku SAS RapidMiner Alteryx Domino Data Lab H20.ai On the basis of types, the Data Science and Machine-Learning Platforms market is primarily split into: Open Source Data Integration Tools Cloud-based Data Integration Tools On the basis of applications, the market covers: Small-Sized Enterprises Medium-Sized Enterprise Large Enterprises Major Regions or countries covered in this report: United States Europe China Japan India Southeast Asia Latin America Middle East and Africa Others Years considered for this report: Historical Years: 2017-2021 Base Year: 2021 Estimated Year: 2022 Forecast Period: 2022-2029
Table of Content 1 Data Science and Machine-Learning Platforms Market Overview 1.1 Product Overview and Scope of Data Science and Machine-Learning Platforms Market 1.2 Data Science and Machine-Learning Platforms Market Segment by Type 1.2.1 Global Data Science and Machine-Learning Platforms Market Sales and CAGR (%) Comparison by Type (2017-2029) 1.3 Global Data Science and Machine-Learning Platf
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About this Report
Report ID 691465
Category
  • Software and Services
Published on 15-Nov
Number of Pages 119
Publisher Name Maia Research Reports
Editor Rating
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