Global Data Science Platform Market SWOT Analysis, Benefits, Forthcoming Developments, Outlook, Research & Future Investments to 2023
Pune, India -- (SBWIRE) -- 03/02/2018 -- Data science is an outset to combine statistics, data analysis, and their related techniques to understand and evaluate real phenomena with data. It provides methods and concepts drawn from many areas within the broad areas of mathematics, databases, information science, statistics and computer science in a specific way from the subdomains of machine learning, cluster analysis, data mining, and visualization. Data science is moving from the edge to the core of the business. Statistical reports do not satisfy the demands of data science clients. In addition, data science platform simplifies the use of interactive apps and application program interfaces to operationalize outcomes and authorize users.
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.
Cloudera Inc., RapidMiner, Inc., Domino Data Lab, Inc., Kaggle Inc., Yhat Inc., Micropole S.A., Dataiku SAS, Continuum Analytics, Inc., C&F Insight technology solutions, Civis Analytics, Inc., and IBM Corporation.
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Global Data Science Platform Market to grow at a CAGR of +38% during forecast period 2018-2023
This report presents a 360-degree overview of the competitive scenario of the Global Data Science Platform market. The report includes massive data relating to the recent product and technological developments observed in the market, complete with an analysis of the impact of these advancements on the market's future development. The research report analyzes the global Data Science Platform market in a detailed manner by explaining the key aspects of the market that are expected to have a quantifiable influence on its developmental prospects over the forecast period.
Analysis tools such as SWOT analysis and Porter's five force model have been inculcated in order to present a perfect in-depth knowledge about Data Science Platform market. Ample graphs, tables, charts are added to help have an accurate understanding of this market. The Data Science Platform market is also been analyzed in terms of value chain analysis and regulatory analysis.
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This report studies Data Science Platform market, especially in North America, Europe, Asia Pacific, Middle East & Africa and Latin America and focuses on top manufacturers in the global market. They considered the production, revenue, capacity, price and market share for each manufacturer in detail.
Microeconomic and macroeconomic factors which affect the Data Science Platform market and its growth, both positive and negative, are also studied. The report features the impact of these factors on the ongoing market throughout the mentioned forecast period. The upcoming changing trends, factors driving as well as restricting the growth of the market are mentioned.
The report covers the competitive landscape of the global Data Science Platform industry, with a specific focus on companies located in global regions. This section covers details about Data Science Platform based on criteria such as gross profit margins, production capacities, production values, and product production global share. Types of product manufactured, product specifications and pictures of products manufactured by key businesses operating in the global Data Science Platform Market are mentioned in detail. The report presents a detailed study of Data Science Platform projects, and analyses the investment and return feasibility of these projects in the market. A detailed account of supply and demand chain of the Data Science Platform Market, and an analysis of marketing channels, clients, and industry development trends, is also included in the report.
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