Insights on the Global Data Science Platform Global Market to 2026 – Increasing Demand for Public Cloud Presents Opportunties

DUBLIN, Oct. 21, 2021 /PRNewswire/ — The “Global Data Science Platform Market (2021-2026) by Component, Deployment, Organization Size, Function, Industry Vertical, Geography, Competitive Analysis and the Impact of COVID-19 with Ansoff Analysis” report has been added to’s offering.

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The Global Data Science Platform Market is estimated to be USD 43.3 Bn in 2021 and is expected to reach USD 73.2 Bn by 2026, growing at a CAGR of 11.07%.

Key factors such as a massive increase in data volume due to increasing digitalization and automation of processes have been a crucial driver in the growth of data science platform. Besides, the enterprises are increasingly focusing on analytical tools for deriving insights into consumer behavior and purchasing patterns. This, in turn, has been shaping their business decisions and strategies to compete in the market. Besides, the adoption of data science platforms has found its way in various industry verticals such as manufacturing, IT, BFSI, retail, etc. All these factors have helped in contributing to the growth of the data science platform market.

However, the costs attached to the deployment of these platforms, along with less workforce with domain expertise capabilities and threats to data privacy, has been a hindrance in the growth of the market.

Market Dynamics


  • High Generation of Data Volumes
  • Rising Focus On Data-Driven Decisions
  • Increasing Adoption of Data Science Platforms Across Diversified Industry Verticals


  • High Initial Investments
  • Lack of Domain Expertise
  • Data Privacy, Security, and Reliability Concerns


  • Increasing Adoption of Data-Driven Technologies by Enterprises
  • Increasing Demand for Public Cloud
  • Investments and Funding in Development of Big Data and Related Technologies by Public and Private Sectors


  • Stringent Government Rules and Regulations

Company Profiles

Some of the companies covered in this report are Microsoft Corporation, IBM Corporation, SAS Institute, Inc., SAP SE, RapidMiner, Inc., Dataiku SAS, Alteryx, Inc., Fair Issac Corporation, MathWorks, Inc., Teradata, Inc, etc.

Competitive Quadrant

The report includes a Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Why buy this report?

  • The report offers a comprehensive evaluation of the Global Data Science Platform Market.
  • The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
  • The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
  • The report includes in-depth market analysis using Porter’s 5 force model and the Ansoff Matrix. The impact of Covid-19 on the market is also featured in the report.
  • The report also contains the competitive analysis using Competitive Quadrant, the analyst’s proprietary competitive positioning tool.

Report Highlights:

  • A complete analysis of the market including parent industry
  • Important market dynamics and trends
  • Market segmentation
  • Historical, current, and projected size of the market based on value and volume
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market

Key Topics Covered:

1 Report Description

2 Research Methodology

3 Executive Summary

4 Market Overview

4.1 Introduction

4.2 Market Dynamics

4.2.1 Drivers

4.2.2 Restraints

4.2.3 Opportunities

4.2.4 Challenges

4.3 Trends

5 Market Analysis

5.1 Porter’s Five Forces Analysis

5.2 Impact of COVID-19

5.3 Ansoff Matrix Analysis

6 Global Data Science Platform Market, By Component

6.1 Introduction

6.2 Platform

6.3 Services

6.3.1 Managed Services

6.3.2 Professional Services Training and Consulting Integration and Deployment Support and Maintenance

7 Global Data Science Platform Market, By Deployment

7.1 Introduction

7.2 Cloud

7.3 On-premises

8 Global Data Science Platform Market, By Organization Size

8.1 Introduction

8.2 Large Enterprises

8.3 Small and Medium-sized Enterprises

9 Global Data Science Platform Market, By Function

9.1 Introduction

9.2 Marketing

9.3 Sales

9.4 Logistics

9.5 Finance and Accounting

9.6 Customer Support

9.7 Others

10 Global Data Science Platform Market, By Industry Verticals

10.1 Introduction

10.2 Banking, Financial Services, and Insurance (BFSI)

10.3 Telecom and IT

10.4 Retail and E-Commerce

10.5 Healthcare and Life sciences

10.6 Manufacturing

10.7 Energy and Utilities

10.8 Media and Entertainment

10.9 Transportation and Logistics

10.10 Government

10.11 Others

11 Global Data Science Platform Market, By Geography

11.1 Introduction

11.2 North America

11.2.1 US

11.2.2 Canada

11.2.3 Mexico

11.3 South America

11.3.1 Brazil

11.3.2 Argentina

11.4 Europe

11.4.1 UK

11.4.2 France

11.4.3 Germany

11.4.4 Italy

11.4.5 Spain

11.4.6 Rest of Europe

11.5 Asia-Pacific

11.5.1 China

11.5.2 Japan

11.5.3 India

11.5.4 Indonesia

11.5.5 Malaysia

11.5.6 South Korea

11.5.7 Australia

11.5.8 Russia

11.5.9 Rest of APAC

11.6 Rest of the World

11.6.1 Qatar

11.6.2 Saudi Arabia

11.6.3 South Africa

11.6.4 United Arab Emirates

11.6.5 Latin America

12 Competitive Landscape

12.1 Competitive Quadrant

12.2 Market Share Analysis

12.3 Competitive Scenario

12.3.1 Mergers & Acquisitions

12.3.2 Agreements, Collaborations, & Partnerships

12.3.3 New Product Launches & Enhancements

12.3.4 Investments & Fundings

13 Company Profiles

13.1 Microsoft Corporation

13.2 IBM Corporation

13.3 Google, Inc

13.4 Wolfram

13.5 DataRobot Inc.

13.6 Sense Inc.

13.7 RapidMiner Inc.

13.8 Domino Data Lab

13.9 Dataiku SAS

13.10 Alteryx, Inc.

13.11 Oracle

13.12 Tibco Software Inc.

13.13 SAS Institute Inc.

13.14 SAP SE

13.15 The Mathworks, Inc.

13.16 Cloudera, Inc.


13.18 Fair Issac Corporation

13.19 Teradata, Inc

13.20 Kaggle Inc.,

13.21 Micropole S.A.

13.22 Continuum Analytics, Inc.

13.23 C&F Insight technology solutions

13.24 Civis Analytics, Inc.

13.25 VMware Inc

13.26 Alpine Data Labs,

13.27 Thoughtworks Inc

13.28 MuSigma

13.29 Tableau Software LLC

14 Appendix

For more information about this report visit

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