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).
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 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.
This report focuses on the global Data Science Platform status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Data Science Platform development in United States, Europe and China.
The key players covered in this study
Domino Data Lab
Market segment by Type, the product can be split into
Market segment by Application, split into
Market segment by Regions/Countries, this report covers
Central & South America
The study objectives of this report are:
To analyze global Data Science Platform status, future forecast, growth opportunity, key market and key players.
To present the Data Science Platform development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
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
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
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