Data Science Platform Market

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.

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Scope of the Report:

In 2018, the global Data Science Platform market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of 28.9% during 2019-2025.

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).

This Study converges on the top players in the global Data Science Platform market:
Microsoft
IBM
Google
Wolfram
Datarobot
Cloudera
Rapidminer
Domino Data Lab
Dataiku
Alteryx
Continuum Analytics
Bridgei2i Analytics
Datarpm
Rexer Analytics
Feature Labs

Market segment by Type, the product can be split into
On-Premises
On-Demand

Market segment by Application, split into
Marketing
Sales
Logistics
Risk
Customer Support
Human Resources
Operations

The report also provides the regional level of the Data Science Platform market analysis and future outlook for North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa.

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The on-premises deployment model has a higher adoption, compared to the on-demand deployment model. The on-premises deployment model provides confidentiality and privacy parameters to the organizational data; hence, most of the organizations are adopting the on-premises deployment model.

The Banking, Financial Services, and Insurance (BFSI) segment has shown the largest market share in vertical segment, where data science platform helps financial institutions to cut down on the risks that are likely to arise from the poor quality of data.

In this study, the years considered to estimate the market size of Data Science Platform are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025

Some of the major questions are answered:

  • What are the different types of Data Science Platform equipment and products?
  • What are the market trends and major developments patterns equipment’s and products?
  • Who are the key industry pioneers and what is their overall share in the global Data Science Platform market?
  • What are the multiple used case scenarios considered under various end-users and applications for the market?
  • What are the different sales, marketing, and distribution channels in the global industry?

Avail complete report of this research with TOC and List of Figures at:
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The global Data Science Platform Market report covers the valuable data useful for the estimation of the market and comprehensive figures of the key players along with their growth estimation in the upcoming period. The report implements various elements to process the industry data. The global industry report presents the factors, such as gross margin, consumption, production, export, cost, growth rate, share, size and capacity utilization, impacting on the global Data Science Platform Market.

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Alvin Cohee is a professional Freelancer specializing in App Development, Market Research, Content Writing, Copywriting, and programming web applications. In addition, Alvin is an illustrator, blogger, geek, and a breakdancer wannabee. Alvin writes interesting things regarding the tech business, market research industry, as well as researches everything regarding the latest inventions and scientific discoveries.

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