"Global Data Science Platform Market Report surely helps harness the maximum value of the investment. Not to mention, various steps for gathering, recording and analysing of data have been utilized while generating this market analysis report. Such marketing research is essentially conducted for different business purposes. The report consists of drivers and restraints for the market which are obtained with the help of SWOT analysis, along with their impact on the demand over the forecast period. Analysis and discussion of important industry trends, market size, and market share.

Global Data Science Platform Market, Component Type (Platform, Services), Function Division (Marketing, Sales, Logistics, Finance and Accounting, Customer Support, Business Operations, Others), Deployment Model (On-Premises, Cloud based), Organization Size (Small and Medium-sized Enterprises (SMEs), Large Enterprises), End User Application (Banking, Financial Services, and Insurance (BFSI), Telecom and IT, Retail and E-commerce, Healthcare and Life sciences, Manufacturing, Energy and Utilities, Media and Entertainment, Transportation and Logistics, Government, Others) – Industry Trends and Forecast to 2030.

Access Full 350 Pages PDF Report @

https://www.databridgemarketresearch.com/reports/global-data-science-platform-market

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.

Market Players Covered:

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.), H2O.ai (U.S.), Altair Inc., (U.S.), Anaconda Inc., (U.S.), SAP SE (U.S.), Domino Data Lab Inc., (U.S.) and Dataiku (U.S.)

Key points covered in the report: -

  • The pivotal aspect considered in the global Data Science Platform Market report consists of the major competitors functioning in the global market.
  • The report includes profiles of companies with prominent positions in the global market.
  • The sales, corporate strategies and technical capabilities of key manufacturers are also mentioned in the report.
  • The driving factors for the growth of the global Data Science Platform Market are thoroughly explained along with in-depth descriptions of the industry end users.
  • The report also elucidates important application segments of the global market to readers/users.
  • This report performs a SWOT analysis of the market. In the final section, the report recalls the sentiments and perspectives of industry-prepared and trained experts.
  • The experts also evaluate the export/import policies that might propel the growth of the Global Data Science Platform Market.
  • The Global Data Science Platform Market report provides valuable information for policymakers, investors, stakeholders, service providers, producers, suppliers, and organizations operating in the industry and looking to purchase this research document.

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

The investment made in the study would provide you access to information such as:

  • Data Science Platform Market [Global – Broken-down into regions]
  • Regional level split [North America, Europe, Asia Pacific, South America, Middle East & Africa]
  • Country-wise Market Size Split [of important countries with major market share]
  • Market Share and Revenue/Sales by leading players
  • Market Trends – Emerging Technologies/products/start-ups, PESTEL Analysis, SWOT Analysis, Porter’s Five Forces, etc.
  • Market Size
  • Market Size by application/industry verticals
  • Market Projections/Forecast

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About Data Bridge Market Research:

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