Data Science Platform Market Outlook, Trend, Growth and Share Estimation

Posted by Andre on November 28th, 2019

A new research study from “Data Bridge Market Research”  with title Data Science Platform Market Insights 2019, Global  Analysis and Forecast to 2026 provides an in-depth assessment of the Data Science Platform Market  including key market trends, upcoming technologies, industry drivers, challenges, regulatory policies, key players company profiles and strategies. Some of the leading key players profiled in this study: 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

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 2018 to 2025

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Market Definition: Global Data Science Platform Market

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

Top Manufacturers Covered in the Report:

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.

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

Regional analysis for Data Science Platform Market includes:

• North America
• Latin America
• Europe
• Asia Pacific & Japan
• The Middle East and Africa

Some of the key questions answered in this report:

• Detailed Overview of Data Science Platform Market helps deliver clients and businesses making strategies.
• Influential factors that are thriving demand and constraints in the market.
• What is the market concentration? Is it fragmented or highly concentrated?
• What trends, challenges and barriers will impact the development and sizing of Data Science Platform Market?
• SWOT Analysis of each key players mentioned along with its company profile with the help of Porter’s five forces tool mechanism to compliment the same.
• What growth momentum or acceleration market carries during the forecast period?

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