Press release
Data Science Platform Market 2018: Research on Dominated Players Like Google, Domino Data Lab, IBM, Datarobot, Microsoft, Wolfram, Continuum Analytics, Dataiku, Bridgei2i Analytics, Feature Labs, Inc., Progress DataRPM, Civis Analytic And Others-Forecast
Data Science Platform Market
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Global Data Science Platform Market accounted for USD 20.2 billion in 2017 and is projected to grow at a CAGR of 39.7% the forecast period of 2018 to 2025. The upcoming market report contains data for historic years 2016, the base year of calculation is 2017 and the forecast period is 2018 to 2025.
Global Data Science Platform Market, By Business Function Division (Marketing, Sales, Logistics, and others), By Deployment Model (On-Premises, On-Demand), By End User Application (Banking, Financial Services, and Insurance (BFSI), Healthcare and Life Sciences, Others), By Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa)– Industry Trends and Forecast to 2025
Competitive Analysis: Global Data Science Platform Market
The global data science platform market is fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market in order to sustain in long run. The report includes market shares of data science platform market for global, Europe, North America, Asia Pacific and South America.
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Key Players: Global Data Science Platform Market
• Google, Inc.,
• Domino Data Lab,
• IBM Corporation,
• Datarobot, Inc.,
• Microsoft Corporation,
• Wolfram,
• Continuum Analytics, Inc.,
• Dataiku,
• Bridgei2i Analytics,
• Feature Labs,
• Datarpm,
• Rexer Analytics,
• Civis Analytics,
• Sense, Inc.,
• Alteryx, Inc.,
• Rapidminer, Inc.,
• IBM,
• Snowflake,
• MeritDirect,
• Cazena,
• CBIG Consulting,
• Loggly,
• Clairvoyant,
• Arcadia,
• Experfy,
• Datatorrent,
• Jethro, Tableau,
• VMware,
• New Relic,
• Alation,
• Tera Data,
• SAP,
• Alpine Data Labs,
• SiSense,
• Thoughtworks,
• MuSigma,
• Cogito,
• Datameer
• Among others.
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Market Drivers and Restraints:
• Global rapid advancement in big data technologies
• Need for ease of use technological methods to drive business effectiveness
• Growing demand for public cloud and adoption of artificial intelligence
• The evolution of internet of things (IoT)
• Platform independency
• Huge investment costs
• Data explosion
Market Segmentation: Global Data Science Platform Market
• The global data science platform market is segmented based on business function division, deployment model, end-user application and geographical segments.
• Based on business function division the global data science platform market is segmented into marketing, sales, logistics, risk, customer support, human resources, and operations.
• Based on deployment model based the global data science platform market is segmented into on-premises, on-demand.
• Based on the end-user application the global data science platform market is segmented into following sectors banking, financial services, and insurance (BFSI), healthcare and life sciences, information technology and telecom, retail and consumer goods, media and entertainment, manufacturing, transportation and logistics, energy and utilities, government and defense, others.
• Based on geography, the global data science platform market report covers data points for 28 countries across multiple geographies such as North America, South America, Europe, Asia-Pacific and Middle East & Africa. Some of the major countries covered in this report are U.S., Canada, Germany, France, U.K., Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore, Saudi Arabia, South Africa, and Brazil among others.
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Data Bridge Market Research set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavorsto provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process.
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