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Data Science Platform-Global Market Insights and Sales Trends 2025

Data Science Platform-Global Market Insights and Sales Trends 2025

Publishing Date : Mar, 2025

License Type :
 

Report Code : 1849514

No of Pages : 113

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Synopsis
In business functions, the logistics segment holds the largest market share and is gaining significant importance among corporates & Enterprises. In the logistics industry, customer satisfaction, global expansion, strong delivery & transport network, and presence of wide global/local presence are the most essential factors. Data scientists apply advanced mathematics and statistics to address numerous business queries that delivers insights to management, thereby maximizing the return on assets and high Returns on Investments (RoI).

The global Data Science Platform market size is expected to reach US$ 106990 million by 2029, growing at a CAGR of 20.7% from 2023 to 2029. The market is mainly driven by the significant applications of Data Science Platform in various end use industries. The expanding demands from the BFSI, Health and Life Sciences, IT and Telecom and Retail and Consumer Goods, are propelling Data Science Platform market. Open Data Science Platform, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Closed Data Science Platform segment is estimated at % CAGR for the next seven-year period.

The on-premises deployment model has a higher adoption, compared to the on-demand deployment model. The on-premises deployment model provides confidentiality and privacy parameters to the organizational data; hence, most of the organizations are adopting the on-premises deployment model. The Banking, Financial Services, and Insurance (BFSI) segment has shown the largest market share in vertical segment, where data science platform helps financial institutions to cut down on the risks that are likely to arise from the poor quality of data.

Report Objectives

This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Data Science Platform, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.

Key Features of The Study:

This report provides in-depth analysis of the global Data Science Platform market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Data Science Platform market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Data Science Platform sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Data Science Platform covered in this report include Microsoft, IBM, Google, Wolfram, Datarobot, Cloudera, Rapidminer, Domino Data Lab and Dataiku, etc.
The global Data Science Platform market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.

Market Segmentation

Company Profiles:

  • Microsoft
  • IBM
  • Google
  • Wolfram
  • Datarobot
  • Cloudera
  • Rapidminer
  • Domino Data Lab
  • Dataiku
  • Alteryx
  • Continuum Analytics
  • Bridgei2i Analytics
  • Datarpm
  • Rexer Analytics
  • Feature Labs
  • Posit
  • Anaconda

Global Data Science Platform market, by region:

  • North America (U.S., Canada, Mexico)
  • Europe (Germany, France, UK, Italy, etc.)
  • Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
  • South America (Brazil, etc.)
  • Middle East and Africa (Turkey, GCC Countries, Africa, etc.)

Global Data Science Platform market, Segment by Type:

  • Open Data Science Platform
  • Closed Data Science Platform

Global Data Science Platform market, by Application

  • BFSI
  • Health and Life Sciences
  • IT and Telecom
  • Retail and Consumer Goods
  • Media and Entertainment
  • Transportation and Logistics
  • Others

Core Chapters

Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Data Science Platform companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion

Index

1 Market Overview of Data Science Platform
1.1 Data Science Platform Market Overview
1.1.1 Data Science Platform Product Scope
1.1.2 Data Science Platform Market Status and Outlook
1.2 Global Data Science Platform Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Data Science Platform Market Size by Region (2018-2029)
1.4 Global Data Science Platform Historic Market Size by Region (2018-2023)
1.5 Global Data Science Platform Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Data Science Platform Market Size (2018-2029)
1.6.1 North America Data Science Platform Market Size (2018-2029)
1.6.2 Europe Data Science Platform Market Size (2018-2029)
1.6.3 Asia-Pacific Data Science Platform Market Size (2018-2029)
1.6.4 Latin America Data Science Platform Market Size (2018-2029)
1.6.5 Middle East & Africa Data Science Platform Market Size (2018-2029)
2 Data Science Platform Market by Type
2.1 Introduction
2.1.1 Open Data Science Platform
2.1.2 Closed Data Science Platform
2.2 Global Data Science Platform Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Data Science Platform Historic Market Size by Type (2018-2023)
2.2.2 Global Data Science Platform Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Data Science Platform Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Data Science Platform Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Data Science Platform Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Data Science Platform Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Data Science Platform Revenue Breakdown by Type (2018-2029)
3 Data Science Platform Market Overview by Application
3.1 Introduction
3.1.1 BFSI
3.1.2 Health and Life Sciences
3.1.3 IT and Telecom
3.1.4 Retail and Consumer Goods
3.1.5 Media and Entertainment
3.1.6 Transportation and Logistics
3.1.7 Others
3.2 Global Data Science Platform Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Data Science Platform Historic Market Size by Application (2018-2023)
3.2.2 Global Data Science Platform Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Data Science Platform Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Data Science Platform Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Data Science Platform Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Data Science Platform Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Data Science Platform Revenue Breakdown by Application (2018-2029)
4 Data Science Platform Competition Analysis by Players
4.1 Global Data Science Platform Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Data Science Platform as of 2022)
4.3 Date of Key Players Enter into Data Science Platform Market
4.4 Global Top Players Data Science Platform Headquarters and Area Served
4.5 Key Players Data Science Platform Product Solution and Service
4.6 Competitive Status
4.6.1 Data Science Platform Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Microsoft
5.1.1 Microsoft Profile
5.1.2 Microsoft Main Business
5.1.3 Microsoft Data Science Platform Products, Services and Solutions
5.1.4 Microsoft Data Science Platform Revenue (US$ Million) & (2018-2023)
5.1.5 Microsoft Recent Developments
5.2 IBM
5.2.1 IBM Profile
5.2.2 IBM Main Business
5.2.3 IBM Data Science Platform Products, Services and Solutions
5.2.4 IBM Data Science Platform Revenue (US$ Million) & (2018-2023)
5.2.5 IBM Recent Developments
5.3 Google
5.3.1 Google Profile
5.3.2 Google Main Business
5.3.3 Google Data Science Platform Products, Services and Solutions
5.3.4 Google Data Science Platform Revenue (US$ Million) & (2018-2023)
5.3.5 Wolfram Recent Developments
5.4 Wolfram
5.4.1 Wolfram Profile
5.4.2 Wolfram Main Business
5.4.3 Wolfram Data Science Platform Products, Services and Solutions
5.4.4 Wolfram Data Science Platform Revenue (US$ Million) & (2018-2023)
5.4.5 Wolfram Recent Developments
5.5 Datarobot
5.5.1 Datarobot Profile
5.5.2 Datarobot Main Business
5.5.3 Datarobot Data Science Platform Products, Services and Solutions
5.5.4 Datarobot Data Science Platform Revenue (US$ Million) & (2018-2023)
5.5.5 Datarobot Recent Developments
5.6 Cloudera
5.6.1 Cloudera Profile
5.6.2 Cloudera Main Business
5.6.3 Cloudera Data Science Platform Products, Services and Solutions
5.6.4 Cloudera Data Science Platform Revenue (US$ Million) & (2018-2023)
5.6.5 Cloudera Recent Developments
5.7 Rapidminer
5.7.1 Rapidminer Profile
5.7.2 Rapidminer Main Business
5.7.3 Rapidminer Data Science Platform Products, Services and Solutions
5.7.4 Rapidminer Data Science Platform Revenue (US$ Million) & (2018-2023)
5.7.5 Rapidminer Recent Developments
5.8 Domino Data Lab
5.8.1 Domino Data Lab Profile
5.8.2 Domino Data Lab Main Business
5.8.3 Domino Data Lab Data Science Platform Products, Services and Solutions
5.8.4 Domino Data Lab Data Science Platform Revenue (US$ Million) & (2018-2023)
5.8.5 Domino Data Lab Recent Developments
5.9 Dataiku
5.9.1 Dataiku Profile
5.9.2 Dataiku Main Business
5.9.3 Dataiku Data Science Platform Products, Services and Solutions
5.9.4 Dataiku Data Science Platform Revenue (US$ Million) & (2018-2023)
5.9.5 Dataiku Recent Developments
5.10 Alteryx
5.10.1 Alteryx Profile
5.10.2 Alteryx Main Business
5.10.3 Alteryx Data Science Platform Products, Services and Solutions
5.10.4 Alteryx Data Science Platform Revenue (US$ Million) & (2018-2023)
5.10.5 Alteryx Recent Developments
5.11 Continuum Analytics
5.11.1 Continuum Analytics Profile
5.11.2 Continuum Analytics Main Business
5.11.3 Continuum Analytics Data Science Platform Products, Services and Solutions
5.11.4 Continuum Analytics Data Science Platform Revenue (US$ Million) & (2018-2023)
5.11.5 Continuum Analytics Recent Developments
5.12 Bridgei2i Analytics
5.12.1 Bridgei2i Analytics Profile
5.12.2 Bridgei2i Analytics Main Business
5.12.3 Bridgei2i Analytics Data Science Platform Products, Services and Solutions
5.12.4 Bridgei2i Analytics Data Science Platform Revenue (US$ Million) & (2018-2023)
5.12.5 Bridgei2i Analytics Recent Developments
5.13 Datarpm
5.13.1 Datarpm Profile
5.13.2 Datarpm Main Business
5.13.3 Datarpm Data Science Platform Products, Services and Solutions
5.13.4 Datarpm Data Science Platform Revenue (US$ Million) & (2018-2023)
5.13.5 Datarpm Recent Developments
5.14 Rexer Analytics
5.14.1 Rexer Analytics Profile
5.14.2 Rexer Analytics Main Business
5.14.3 Rexer Analytics Data Science Platform Products, Services and Solutions
5.14.4 Rexer Analytics Data Science Platform Revenue (US$ Million) & (2018-2023)
5.14.5 Rexer Analytics Recent Developments
5.15 Feature Labs
5.15.1 Feature Labs Profile
5.15.2 Feature Labs Main Business
5.15.3 Feature Labs Data Science Platform Products, Services and Solutions
5.15.4 Feature Labs Data Science Platform Revenue (US$ Million) & (2018-2023)
5.15.5 Feature Labs Recent Developments
5.16 Posit
5.16.1 Posit Profile
5.16.2 Posit Main Business
5.16.3 Posit Data Science Platform Products, Services and Solutions
5.16.4 Posit Data Science Platform Revenue (US$ Million) & (2018-2023)
5.16.5 Posit Recent Developments
5.17 Anaconda
5.17.1 Anaconda Profile
5.17.2 Anaconda Main Business
5.17.3 Anaconda Data Science Platform Products, Services and Solutions
5.17.4 Anaconda Data Science Platform Revenue (US$ Million) & (2018-2023)
5.17.5 Anaconda Recent Developments
6 North America
6.1 North America Data Science Platform Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Data Science Platform Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Data Science Platform Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Data Science Platform Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Data Science Platform Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Data Science Platform Market Dynamics
11.1 Data Science Platform Industry Trends
11.2 Data Science Platform Market Drivers
11.3 Data Science Platform Market Challenges
11.4 Data Science Platform Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List

Published By : QY Research

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