$100+ Billion Data Science Platform Market 2017 by Business Function, Deployment Model, Vertical, and Region - Global Forecast to 2021 - Research and Markets

DUBLIN--()--Research and Markets has announced the addition of the "Data Science Platform Market by Business Function (Marketing, Sales, Logistics, Risk, Customer Support, Human Resources, & Operations), Deployment Model, Vertical, and Region - Global Forecast to 2021" report to their offering.

The data science platform market is estimated to grow from USD 19.58 Billion in 2016 to USD 101.37 Billion by 2021, at a high Compound Annual Growth Rate (CAGR) of 38.9% during the forecast period.

Enterprises focusing on methods enabling simpler use of data to drive their business and advancement in big data technologies are the key drivers that propel the growth of the data science platform market.

The report provides detailed insights into the global market, which is segmented by business function, deployment model, vertical, and region. In business functions, the logistics segment holds the largest market share and is gaining significant importance among corporates & enterprises. In the logistics industry, customer satisfaction, global expansion, strong delivery & transport network, and presence of wide global/local presence are the most essential factors. Data scientists apply advanced mathematics and statistics to address numerous business queries that delivers insights to management, thereby maximizing the return on assets and high Returns on Investments (RoI).

Market Dynamics

Drivers

  • Enterprise Focusing On Ease of Use Methods to Drive Their Business
  • Advancement in Big Data Technologies

Restraints

  • Lack of Reliability On Data Science Among the Enterprises
  • Government Rules And Regulations
  • Data Governance

Opportunities

  • Higher Inclination of Enterprises Towards Data Intensive Business Strategies
  • High Roi Through End-To-End Data Science Platform Implementation

Challenges

  • High Investment Costs
  • Data Privacy, Security, And Reliability
  • Requirement to Constantly Update the Data Science Platform in Order to Cope With Advance Data Sources, Tools, And Technologies

Companies Mentioned

  • Alteryx, Inc.
  • Bridgei2I Analytics
  • Civis Analytics
  • Continuum Analytics, Inc.
  • Dataiku
  • Datarobot, Inc.
  • Datarpm
  • Domino Data Lab
  • Feature Labs
  • Google, Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Rapidminer, Inc.
  • Rexer Analytics
  • Sense, Inc.
  • Wolfram

For more information about this report visit http://www.researchandmarkets.com/research/nt4h7f/data_science

Contacts

Research and Markets
Laura Wood, Senior Manager
press@researchandmarkets.com
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Related Topics: Data Analytics

Contacts

Research and Markets
Laura Wood, Senior Manager
press@researchandmarkets.com
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900
U.S. Fax: 646-607-1907
Fax (outside U.S.): +353-1-481-1716
Related Topics: Data Analytics