Data Science Platform Market : Global Key Market Segments, Application, Statistics, Companies Poised for Strong Growth in Future by 2023


As per the findings of the research, based on business functions, logistics led the global data science platform market in 2016. Among deployment types, on-premise deployment witnessed the higher growth in demand of data science platform in 2016. Among the industry verticals, demand for data science platform from healthcare industry is expected to generate largest revenue for the global data science platform market during the forecast period, however, the demand is expected to grow at the fastest rate from transportation and logistics industry in the coming years.

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Geographically, North America has been the largest market for data science platform, whereas Asia-Pacific is expected to witness highest growth among all regions due to growth of digitalization, smart city initiatives by various governments, increase in foreign direct investment (FDI) for smart technologies, and adoption of big data analytics at a significant growth rate in the region. Further, due to the growing economic prosperity of Asia and improving technology infrastructure, the region has high tendency to adopt data science platform solution at a rapid scale in near future.

The logistics business function held the largest market during 2013-2026. Data science in logistics is gaining significant interest from enterprises and corporates to address number of critical business queries that deliver valuable insights to the top management and help in maximizing return on investment (RoI). Factors driving the growth of data science platform market in logistics include higher customer satisfaction, seamless global expansion, robust transport network, and effective delivery system.

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Most of the vendors prevailing in the global data science platform market are actively participating in organic and inorganic strategies. Many of them are entering in strategic partnership to help the companies in digital transformation, while others are enhancing their offerings for higher personalized end user experience.

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