The 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 2019 to 2026. Data science is a start to consolidate insights, information search, and their related procedures to comprehend and assess genuine information from the raw data. It gives techniques and methods drawn from numerous zones inside the wide regions of arithmetic, databases, data science, measurements and software engineering particularly from the subdomains of machine learning, bunch examination, information mining, and representation.
Major Market Drivers are as follows:
- 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
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Key Market Competitors: Data Science Platform Market
Few of the major competitors are 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.
This Data Science Platform Market research report makes available state-of-the-art information about the entire market along with the holistic view of the market. This Data Science Platform Market research report displays a complete overview of the market, including myriad of aspects such as product definition, segmentation based on various parameters, and the existing vendor landscape. The report describes estimations about key players and brands in the market with respect to their actions such as developments, product launches, acquisitions, merges, joint ventures and competitive research.
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Market Segmentation: 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.
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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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