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Data Science Platform Market: Emerging Market Trends, Size, Share and Growth Analysis
Data science platform provides real-time data streaming and more advanced data pipelines which will support redefine big data into different categories such as actionable and fast data. A massive increase in data volume is the driving force for the data science platform. This movement of Data volume will continue to evolve shortly.
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Data science platform aid to facilitate a high level of association across data scientists, business analysts, data engineers, and developers in different fields of business. Data Science platforms help the organizations to prepare data, build models and operationalize analytics.
The increasing demand for public cloud, adoption of artificial intelligence, the explosive growth of Internet of things (IoT) applications and machine learning, revolution and rise in demand of big data, etc. are the factor that are expected to drive the demand of data science platform market. Key IT Trends in enterprises are an adoption of big data technology, security, and governance, IT centralization, open standard, and libraries, etc. are adapted to data science platform to provide efficient enterprise solutions across various sectors.
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The emergence of unified, multidisciplinary cloud-based development environments assist the data scientist to enhance data science skills, and collaborate the machine learning and analytics into the core business. Data science platforms are used as an approach in order to find concealed bits of knowledge from large measures of classified and unstructured information, utilizing techniques such as insights, machine learning, predictive analytics, and data mining. This area consists of different branches which help to identify changes in the way organizations solve the issues and gain competitive advantage. The growth of analytics apps and APIs which are accessed on browser and device is the recent trend in data service platform market.
Data explosion, lack of domain expertise and lack of analytical capabilities are few challenges in the data science platform market.
Based on the application data science platform market is segmented into healthcare and life science, automotive, manufacturing, banking, financial service and insurance (BFSI), information technology and telecommunications, media and entertainment, retail and consumer goods, energy and utilities, transportation and logistics and government. Based on business function, it is segmented into marketing, logistics, operations and Human resources. Data science platform market is segmented based on deployment type such as on premises and on-demand.
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