"Global Data Science Platform Market study by Data Bridge Market Research provides details about the market dynamics affecting this market, Market scope, Market segmentation and overlays shadow upon the leading market players highlighting the favourable competitive landscape and trends prevailing over the years.
The latest market data has been presented in the Data Science Platform market study on the revenue numbers, product details, and sales of the major firms. In addition to this, the information also includes the breakdown of the revenue for the global market claiming a forecast for the same in the estimated time frame. The company profiles of all the key players and brands that are dominating the Data Science Platform market with moves like product launches, joint ventures, mergers and acquisitions which in turn is affecting the sales, import, export, revenue and CAGR values are mentioned in the report.
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Data Bridge Market Research analyses that the data science platform market which was USD 122.94 billion in 2022, would rocket up to USD 942.76 billion by 2030, and is expected to undergo a CAGR of 29.00% during the forecast period. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.
Table of Content:
Part 01: Executive Summary
Part 02: Scope of the Report
Part 03: Global Data Science Platform Market Landscape
Part 04: Global Data Science Platform Market Sizing
Part 05: Global Data Science Platform Market Segmentation By Product
Part 06: Five Forces Analysis
Part 07: Customer Landscape
Part 08: Geographic Landscape
Part 09: Decision Framework
Part 10: Drivers and Challenges
Part 11: Market Trends
Part 12: Vendor Landscape
Part 13: Vendor Analysis
A data science platform refers to a software or toolset that facilitates and streamlines the end-to-end data science workflow. It provides a unified environment for data scientists, analysts, and other stakeholders to perform tasks related to data acquisition, preparation, analysis, modeling, visualization, and deployment of machine learning models. A data science platform typically offers a range of integrated tools and capabilities that enable users to work with data effectively.
Key takeaways from the Data Science Platform Market report:
- Detailed considerate of Data Science Platform Market-particular drivers, Trends, constraints, Restraints, Opportunities and major micro markets.
- Comprehensive valuation of all prospects and threat in the
- In depth study of industry strategies for growth of the Data Science Platform Market-leading players.
- Data Science Platform Market latest innovations and major procedures.
- Favorable dip inside Vigorous high-tech and market latest trends remarkable the Market.
- Conclusive study about the growth conspiracy of Data Science Platform Market for forthcoming years.
Some of the major players operating in the data science platform Market are:
- IBM (U.S.)
- DataRobot Inc., (U.S.)
- apheris AI GmbH (Germany)
- The Digital Talent Ecosystem (U.S.)
- Databand (Israel)
- dotData (U.S.)
- Explorium Inc., (U.S.)
- Noogata (Israel)
- Tecton Inc., (U.S.)
- Spell Designs Pty Ltd (U.S.)
- Arrikto Inc., (U.S.)
- Iterative (U.S.)
- Google Inc (U.S.)
- Microsoft (U.S.)
- SAS Institute Inc., (U.S.)
- Amazon Web Services, Inc. (U.S.)
- The MathWorks, Inc. (U.S.)
- Cloudera Inc., (U.S.)
- Teradata (U.S.)
- TIBCO Software Inc. (U.S.)
- ALTERYX, INC. (U.S.)
- RapidMiner (U.S.),
- Databricks (U.S.)
- Snowflake Inc., (U.S.)
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