Data Science Platform Market Analysis, Research Report With IBM, DataRobot, Google, Teradata, Microsoft, Tableau Software, SAP, VMware, Alteryx, Wolfram, Alpine Data, Alation, Progress DataRPM, Dataiku, Civis Analytics, Sense, RapidMiner

The report is generated by performing high level market research analysis of key marketplace segments to identify opportunities, challenges, drivers, and market structures for clients. The analysis and estimations conducted via this data science platform report help to get an idea about the product launches, future products, joint ventures, marketing strategy, developments, mergers and acquisitions and effect of the same on sales, marketing, promotions, revenue, import, export, and CAGR values. Being a wide-ranging market research report, it is sure to help grow your business in several ways. This data science platform market report employs the use of latest tools and techniques for researching, analysing and collecting data and information.

The report helps data science platform industry to divulge the best market opportunities and look after proficient information to efficiently climb the ladder of success. The statistics have been represented in the graphical format for an unambiguous understanding of facts and figures. A comprehensive data and information provided in the report can be utilized by data science platform industry to be acquainted with the present and upcoming opportunities and clarify the future investment in the market. With the competitive analysis of the major players in the market, the data science platform report lends a hand to businesses in taking better moves for improving their product and sales.

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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. Data science is moving from the edge profoundly of the business. Measurable reports don’t fulfill the requests of information science customers. Moreover, data science platform eases and simplifies the utilization of interactive applications and application program interfaces to operationalize results and approve clients.

Data science platform gives real time data spilling and further developed data pipelines which will support rethink huge data into various classes, for example, significant and quick information. A huge rise in data volume is the main driving force for the data science platform. This development of Data volume will keep on evolving in the blink of an eye. Data science platform helps to facilitate a wide state of relationship crosswise over data analysts, business investigators, data architects and engineers in various business fields. Data science platform enable the associations to get ready information, to manufacture models and operationalize investigation.

The 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. Market Analysis for The data science platform market report contains data for historic years 2016, the base year of calculation is 2017 and the forecast period is 2018 to 2025. Some of the major players operating in the global data science platform market are

· Google, Inc.

· Domino Data Lab

· IBM Corporation

· Datarobot, Inc.

· Microsoft Corporation

· Wolfram

· Continuum Analytics, Inc.

· Dataiku

· Bridgei2i Analytics

· Feature Labs

· Tableau

· VMware

· New Relic

· Alation

· Tera Data

· SAP

Others are Alpine Data Labs, Datarpm, Rexer Analytics, Civis Analytics, Sense, Inc., Alteryx, Inc., Rapidminer, Inc., Snowflake, MeritDirect, Cazena, CBIG Consulting, Loggly, Clairvoyant, Arcadia, Experfy, Datatorrent, Jethro, SiSense, Thoughtworks, MuSigma, Cogito, Datameer.


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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.


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.

Market Segmentation

· The global data science platform market is segmented based on

· Business function division

· Deployment model

· End-user application

· Geographical segments

· Based on Business Function division, the global data science platform market is segmented into

· Marketing

· Sales

· Logistics

· Risk

· Customer support

· Human resources

· Operations

· Based on deployment model, 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, and others

· Based on geography, the global industrial agitation 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. In 2025, Asia-Pacific is estimated to dominate the market.

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