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Data Science Platform Market Emerging Trends, Share and Forecast with Top Vendors | Arcadia, Experfy, Datatorrent, Jethro, Tableau, VMware, New Relic, Alation, Tera Data, SAP and More

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Apr 08, 2020 Xherald -- Data Bridge Market Research recently introduced Data Science Platform Market research study with in-depth overview, describing about the Product / Industry Scope and elaborates market outlook and status to 2026. The market Study is segmented by key regions which are accelerating the marketization. At present, the market is developing its presence and some of the key players in the study are Google, Inc., Domino Data Lab, IBM Corporation, Datarobot, Inc., Microsoft Corporation, Wolfram, Continuum Analytics, Inc., and More . The study is a perfect mix of qualitative and quantitative Market data collected and validated majorly through primary data and secondary sources.

Global Data Science Platform Market accounted for USD 20.2 billion in 2017 and is projected to grow at a CAGR of 39.7% the forecast period to 2026.

Get Sample Document of Report at https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-data-science-platform-market

Top Major Market Competitors:

Google, Inc., Domino Data Lab, IBM Corporation, Datarobot, Inc., Microsoft Corporation, Wolfram, Continuum Analytics, Inc., Dataiku, Bridgei2i Analytics, Feature Labs, Datarpm, Rexer Analytics, Civis Analytics, Sense, Inc., Alteryx, Inc., Rapidminer, Inc., IBM, Snowflake, MeritDirect, Cazena, CBIG Consulting, Loggly, Clairvoyant, Arcadia, Experfy, Datatorrent, Jethro, Tableau, VMware, New Relic, Alation, Tera Data, SAP, Alpine Data Labs, SiSense, Thoughtworks, MuSigma, Cogito, Datameer among others.

Global Data Science Platform Market, By Business Function Division (Marketing, Sales, Logistics, and others), By Deployment Model (On-Premises, On-Demand), By End User Application (Banking, Financial Services, and Insurance (BFSI), Healthcare and Life Sciences, Others)- Industry Trends and Forecast to 2026

Market Drivers and Restraints:

  • Global rapid advancement in big data technologies

  • Need for ease of use technological methods to drive business effectiveness

  • Growing demand for public cloud and adoption of artificial intelligence

  • The evolution of internet of things (IoT)

  • Platform independency

  • Huge investment costs

  • Data explosion

Scope of the report

Years Considered: - 2020-2026

Base year: - 2019

Forecast period: - 2020-2026 (Value (USD Million))

Geographically, this report is segmented into several key regions, with sales, revenue, market share and growth Rate of Automated Material Handling Systems in these regions, covering

  • North America (United States, Canada and Mexico)

  • Europe (Germany, UK, France, Italy, Russia and Turkey etc.)

  • Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)

  • South America (Brazil etc.)

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