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Pulished Date April, 2021
ID: 8299
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Data Science Platform Market Research Report - By Business Function (Marketing, Sales, Logistics, Risk, Customer Support, Human Resources, & Operations), Deployment Model, Vertical, and Region - Global Forecast to 2026

Pulished: April, 2021
ID: 8299
Pages: 170

Data Science Platform Market Size & Growth (2021-2026)

The data science platform market was earlier at USD 10.8 billion in 2020 and now it is expected to grow by USD 31.4 Billion by 2026 at the CAGR of about 81.25%. 

Asia-Pacific region is expected to adopt the data science platform significantly with the increment of FDIs, Flexible government policies advocating the growth of digitalization, industrialization and smart city initiatives by various governments that supports utilizing technology.

Data Science Platform Market Driver and Restraints:

There are many profound drivers/growth factors for the upbringing of the data science platform market. The use of data science is in the field like data preparation, interactive exploration, and visualization, feature engineering, advanced modeling testing, training, deployment and performance engineering. The use of data science is in nearly every field like agriculture, Electricity, water, healthcare, education, traffic or road accidents, and air pollution. The data is collected for various purposes to manage out the work in a completely organized way and to ease out the process for the growth of any business and advancement in big data technologies to drive the market for the data science platform.

With the help of data science, public health can be improved through wearable trackers that motivate individuals to adopt healthier habits and can alert people to potentially critical health issues the data collected can also improve diagnostic accuracy, accelerate finding cures for specific diseases, or even stop the spread of a virus. Whereas, the data science platform market may tend to get restraints due to the lack of reliability on data science among enterprises, many cases where data cannot be appropriately governed, government rules and regulation have been the major restraint for the market to grow.

Market Segmentation Analysis

The data science platform market is segmented and sub-segmented as follows:

Data Science Platform Market - By Business Functions  

  • Marketing

  • Sales

  • Logistics

  • Risk

  • Customer support

  • Human resources and Operations

Data Science Platform Market - By Deployment Model

  • On-premises

  • On demand

Data Science Platform Market - By Vertical

  • Healthcare and life sciences

  • IT and Telecom

  • Retail and consumer goods

  • Media and Entertainment Manufacturing

  • Transportation and logistics

  • Energy and Utilities

  • Government,

  • Defense and others.

Data Science Platform Market - By Region

  • North America

  • Europe

  • Asia Pacific

  • Latin America

  • Middle-East and Africa

Recent Developments

  • Many industries are growing to utilize analytics and AI in many ways, and this helps in various fields as financial services, consumer product goods, telecom, and healthcare for the make-up of decisions this is what helping the data science platform market to grow and develop even more in the upcoming years.

  • In 2019, Credit Risk Analytics will deep dive in the Lending algorithm of New to Credit (NTC) using the latest AI/ML tools. While several fintech’s have come up with incremental data enrichment for this segment, Banks & NBFCs will soon see a crystallized logical way of managing NTC customers through advanced analytics.

  • Deployment of models for real-time use-cases has come into the trend by making 70% of organization spending time on real-time analytics that helps growing and finding correlations and hidden patterns that help business leaders make and take decisions.

Companies leading the Global Data Science Platform Market profiled in the report are:

  1. Microsoft Corporation

  2. IBM Corporation

  3. Google Inc.

  4. Wolfram

  5. DataRobot In.

  6. Rapid Miner Inc.

  7. Domino Data Lab

  8. Dataiku

  9. Alteryx Inc.

  10. Continuum Analytics Inc.

Platforms providing data science software

There are many platforms for data science and machine learning as Alteryx Analytics, h2o.ai, knime analytics platform, rapid miner, SAS, Mathworks Matlab and Simulink, Tibco software, and data bricks unified analytics platform, domino data science platform, Microsoft Azure machine learning studio is the essential platforms for data science.

1. Introduction                                 

                1.1 Market Definition                    

                1.2 Scope of the report                

                1.3 Study Assumptions                 

                1.4 Base Currency, Base Year and Forecast Periods                          

2. Research Methodology                                           

                2.1 Analysis Design                         

                2.2 Research Phases                      

                                2.2.1 Secondary Research           

                                2.2.2 Primary Research 

                                2.2.3 Data Modelling      

                                2.2.4 Expert Validation  

                2.3 Study Timeline                          

3. Report Overview                                        

                3.1 Executive Summary                

                3.2 Key Inferencees                       

4. Market Dynamics                                       

                4.1 Impact Analysis                         

                                4.1.1 Drivers      

                                4.1.2 Restaints  

                                4.1.3 Opportunities        

                4.2 Regulatory Environment                       

                4.3 Technology Timeline & Recent Trends                            

5. Competitor Benchmarking Analysis                                    

                5.1 Market Share Analysis                           

                5.2 Product Benchmarking                          

                5.3 Regional Presence                   

                5.4 Mergers & Acquistion Landscape                      

                5.5 Joint Ventures & Collaborations                        

6. Market Segmentation                                              

                6.1 Data Science Platform Market , by Business Function                              

                                6.1.1 Marketing               

                                6.1.2 Sales          

                                6.1.3 Logistics    

                                6.1.4 Risk            

                                6.1.5 Customer Support               

                                6.1.6 Human Resources

                                6.1.7 Operations              

                                6.1.8 Market Size Estimations & Forecasts (2021-2026)   

                                6.1.9 Y-o-Y Growth Rate Analysis             

                                6.1.10 Market Attractiveness Index        

                6.2 Data Science Platform Market , by Deployment Model                           

                                6.2.1 Market Size Estimations & Forecasts (2021-2026)   

                                6.2.2 Y-o-Y Growth Rate Analysis             

                                6.2.3 Market Attractiveness Index          

                6.3 Data Science Platform Market , by Vertical                   

                                6.3.1 Market Size Estimations & Forecasts (2021-2026)   

                                6.3.2 Y-o-Y Growth Rate Analysis             

                                6.3.3 Market Attractiveness Index          

7. Geographical Landscape                                         

                7.1 Global Data Science Platform Market, by Region                       

                7.2 North America - Market Analysis (2021-2026)                            

                                7.2.1 By Country              



                                7.2.2 By Business Function          

                                7.2.3 By Deployment Model       

                                7.2.4 By Vertical               

                                7.2.5 Y-o-Y Growth Rate Analysis             

                                7.2.6 Market Attractiveness Index          

                7.3 Europe                         

                                7.3.1 By Country              






                                       Rest of Europe

                                7.2.2 By Business Function          

                                7.2.3 By Deployment Model       

                                7.2.4 By Vertical               

                                7.2.5 Y-o-Y Growth Rate Analysis             

                                7.2.6 Market Attractiveness Index          

                7.4 Asia Pacific                  

                                7.4.1 By Country              




                                       South Korea

                                       South East Asia

                                       Australia & NZ

                                       Rest of Asia-Pacific

                                7.2.2 By Business Function          

                                7.2.3 By Deployment Model       

                                7.2.4 By Vertical               

                                7.2.5 Y-o-Y Growth Rate Analysis             

                                7.2.6 Market Attractiveness Index          

                7.5 Latin America                             

                                7.5.1 By Country              




                                       Rest of Latin America

                                7.5.2 By Business Function          

                                7.5.3 By Deployment Model       

                                7.5.4 By Vertical               

                                7.5.5 Y-o-Y Growth Rate Analysis             

                                7.5.6 Market Attractiveness Index          

                7.6 Middle East and Africa                           

                                7.6.1 By Country              

                                       Middle East


                                7.6.2 By Business Function          

                                7.6.3 By Deployment Model       

                                7.6.4 By Vertical               

                                7.6.5 Y-o-Y Growth Rate Analysis             

                                7.6.6 Market Attractiveness Index          

8. Key Player Analysis                                    

                8.1  Microsoft Corporation                          

                                8.1.1 Business Description           

                                8.1.2 Products/Service  

                                8.1.3 Financials 

                                8.1.4 SWOT Analysis       

                                8.1.5 Recent Developments       

                                8.1.6 Analyst Overview 

                8.2 IBM Corporation                      

                8.3 Google Inc.                 

                8.4 Wolfram                      

                8.5 DataRobot In.                            

                8.6 Rapid Miner Inc                        

                8.7 Domino Data Lab                      

                8.8 Dataiku                         

                8.9 Alteryx Inc.                 

                8.10 Continuum Analytics Inc.                    

9. Market Outlook & Investment Opportunities                                


                List of Tables                     

                List of Figures                   

  • Global, Regional and country-level analysis and forecasts of the study market; providing Insights on the major countries/regions in which this industry is blooming and to also identify the regions that are still untapped.
  • Segment-level analysis in terms of by business function, by deployment, by region, along with market size forecasts and estimations to detect key areas of industry growth in detail.
  • Identification of key drivers, restraints, opportunities, and challenges (DROC) in the market and their impact on shifting market dynamics
  • Study of the effect of exogenous and endogenous factors that affect the global market; which includes broadly demographic, economics, and political, among other macro-environmental factors presented in an extensive PESTLE Analysis.
  • Study the micro environment factors that determine the overall profitability of an Industry, using Porter’s five forces analysis for analysing the level of competition and business strategy development.
  • A comprehensive list of key market players along with their product portfolio, current strategic interests, key financial information, legal issues, SWOT analysis and analyst overview to study and sustain the market environment.
  • Competitive landscape analysis listing out the mergers, acquisitions, collaborations in the field along with new product launches, comparative financial studies and recent developments in the market by the major companies.
  • An executive summary, abridging the entire report in such a way that decision-making personnel can rapidly become acquainted with background information, concise analysis and main conclusions.
  • Expertly devised analyst overview along with Investment opportunities to provide both individuals and organizations a strong financial foothold in the market.
  1. Global Data Science Platform  Market By Region, From 2021-2026 ( USD Billion )
  2. Global Data Science Platform  Market By Business Function, From 2021-2026 ( USD Billion )
  3. Global Marketing  Market By Region, From 2021-2026 ( USD Billion )
  4. Global Sales Market By Region, From 2021-2026 ( USD Billion )
  5. Global Logistics Market By Region, From 2021-2026 ( USD Billion )
  6. Global Risk Market By Region, From 2021-2026 ( USD Billion )
  7. Global Customer Support Market By Region, From 2021-2026 ( USD Billion )
  8. Global Human Resources Market By Region, From 2021-2026 ( USD Billion )
  9. Global Operations Market By Region, From 2021-2026 ( USD Billion )
  10. Global Data Science Platform  Market By Deployment Model, From 2021-2026 ( USD Billion )
  11. Global Data Science Platform  Market By Vertical, From 2021-2026 ( USD Billion )
  12. Global Data Science Platform  Market By Region, From 2021-2026 ( USD Billion )

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