“The Data Science Platform Market Research Report 2018-2023”: Is a valuable source of insightful data for business strategists. It provides the industry overview with growth analysis and historical & futuristic cost, revenue, demand and supply data (as applicable). The research analysts provide an elaborate description of the value chain and its distributor analysis. This Market study provides comprehensive data which enhances the understanding, scope and application of this report.
The data science platform market is expected to witness a CAGR of 31.49 %, over the forecast period (2018 – 2023).
Companies Include are: GOOGLE INC, MICROSOFT CORPORATION, IBM CORPORATION, CLOUDERA INC., DATAIKU, RAPIDMINER INC, WOLFRAM RESEARCH, SAS INSTITUTE, INC., H2O.AI, TIBCO SOFTWARE INDIA PVT. LTD, DOMINO DATA LAB INC., ANACONDA INC, ALTERYX INC., TERADATA CORPORATION, WNS GLOBAL SERVICES PVT. LTD., KNIME AG, and BRIDGEI2I ANALYTICS SOLUTIONS PVT. LTD., amongst others.
The scope of the report is limited to solutions offered by various market players from various end-user sectors including IT & Telecommunication, healthcare, BFSI, retail, manufacturing, logistics & transportation. The regions considered under the scope of the report include North America, Asia-Pacific, Europe, Latin America, and Middle East & Africa.
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Data science platform implements real-time data streaming and with advanced data pipelines, which supports the redefine big data into different categories for actionable insights. The data science platform helps data scientists enhance their analysis by assisting them to run, track, reproduce, share and deploy analytical models faster. Usually, all these tasks require a lot of engineering effort and hassle to build and maintain analytical models, but a data science platform provides the extra power tools to speed up analysis, and ultimately the decision-making process. Moreover, this helps the organizations to prepare data, build models and operationalize analytics.
Key Developments in the Market
May 2018: H2O.ai, the open leader in AI commitment to AI in Healthcare with a new focused initiative. It has been dedicated to AI for good H2O.ais AI in Healthcare initiative to improve the quality of life for people around the globe through AI and machine learning (ML).
November 2017: IBM integrates Watson Data Platform, including data cataloging and data refining, which is designed to make it easier for developers and data scientists to analyze and prepare enterprise data for AI applications, regardless of its structure or where it resides.
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Healthcare Sector to Dominate the Market over the Forecast Period
The advancements in AI are revolutionizing healthcare and leading to breakthrough results in prediction and prevention. Recent advancements in computing power in AI technology across the data science platform have increased its potential to make health care professionals for diagnosing patients faster, more accurately, develop innovative new drugs, and treatments, reduce medical and diagnostic errors, predict adverse reactions, and lower the costs of healthcare delivery for both providers and patients.
North America to Appear as one of the Leading Region in the Data Science Platform Market
North America is expected to endure the largest share of the data science platform market, due to the presence of large operations, technical experts, and growing demands for data science platform in this region. The increasing demand for the public cloud with the adoption of artificial intelligence, along with explosive growth of the IoT applications and machine learning, revolution, and rise in demand data science platform in the North America region.
The report has 150 tables and figures browse the report description and TOC:
Influence of the Data Science Platform market report:
-Comprehensive assessment of all opportunities and risk in the Data Science Platform market.
– Data Science Platform market recent innovations and major events.
-Detailed study of business strategies for growth of the Data Science Platform market-leading players.
-Conclusive study about the growth plot of Data Science Platform market for forthcoming years.
-In-depth understanding of market-particular drivers, constraints and major micro markets.
-Favourable impression inside vital technological and market latest trends striking the market.
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