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

Data science platform report analyzes the plausible of the market in the existing and the future potentialities from a variety of angles in detail. Top players and brands are making strikes such as developments, products launches, acquisitions, merges, joint ventures and competitive lookup in the data science platform market. Further, key players, most important collaborations, merger & acquisitions alongside with trending innovation and commercial enterprise policies are reviewed in data science platform report. It additionally gives a massive study about distinctive data science platform market segments and regions.

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 (Updated Current Year Statistic Will Be Provided In Report).

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Data science platform research is associate art fascinating of gathering information via surveys and deep market study by a team of material specialists. A research report provides direction and explanation of the market through knowledgeable approach supported comprehensive investigation of data science platform market. This report aiding its reader’s in enhancing selling and business management methods in order that they apportion cash and time in actual direction. user or application analysis section in reports helps to work out completely different consumer behavior. 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. 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.

Data science is moving from the edge profoundly to the business. Moreover, data science platform eases and simplifies the utilization of applications and application program interfaces to operationalize results. Data science platform gives real time data spilling and further developing data pipelines, which will support huge data into various classes, for example, significant and quick information.

Table of Content

1. Introduction

1.1. Objectives Of The Study

1.2. Market Definition

1.3. Overview Of Global data science platform Market

1.4. Currency And Pricing

1.5. Limitation

1.6. Markets Covered

2. Market Segmentation

2.1. Markets Covered

2.2. Geographic Scope

2.3. Years Considered For The data science platform Study

2.4. Currency And Pricing

2.5. Research Methodology

2.6. Primary Interviews With Key Opinion Leaders

2.7. Secondary Sources

2.8. Assumptions


3. Market Overview

4. Executive Summary

5. Premium Insights

6. Global data science platform Market, By Application

7. Global data science platform Market, By Product

8. Global data science platform Market, By Vertical

9. Global data science platform Market, By Geography

10. Global data science platform Market, Company Landscape

11. Company Profile

12. Related Reports


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 in facilitating a wide state of relationship over data analysts, business investigators, data architects and engineers in various fields.

· Data science platform enable the associations to get ready information, to manufacture models and operationalize investigation.


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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

· 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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