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Data Science Platform Market Report and Forecast 2024-2032

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    Report

  • 186 Pages
  • February 2024
  • Region: Global
  • Expert Market Research
  • ID: 5944422
Global Data Science Platform Market Report and Forecast 2024-2032

Market Outlook

According to the report, the global data science platform market reached a value of USD 155.41 billion in 2023. Aided by the escalating demand for data-driven decision-making and advanced analytics across industries, the market is projected to further grow at a CAGR of 20.4% between 2024 and 2032 to reach a value of USD 859.79 billion by 2032.

A data science platform is an integrated framework that provides a suite of tools designed for data scientists to execute the entire data science project lifecycle. From data preparation, exploration, and visualisation to model development, deployment, and monitoring, these platforms offer a cohesive environment that enhances productivity and collaboration among data professionals. They facilitate the application of machine learning, deep learning, and statistical models to complex datasets, enabling organisations to uncover actionable insights, automate processes, and drive innovation.

The exponential data science platform market growth is primarily fuelled by the surge in data generation and the increasing recognition of the value of data analytics in strategic decision-making. Businesses across sectors are leveraging data science platforms to gain a competitive edge by optimising operations, enhancing customer experiences, and identifying new market opportunities. Moreover, the rapid advancement of artificial intelligence (AI) and machine learning technologies has significantly broadened the capabilities of data science platforms, further stimulating market growth.

The need for scalable and efficient solutions to manage vast volumes of data and complex analytics workflows has also propelled the data science platform market demand. These platforms offer scalable architectures and advanced analytics capabilities that support the processing of big data in real time, enabling organisations to react swiftly to market changes and customer demands.

Data science platforms are being deployed across a wide range of industries, from healthcare and finance to retail and telecommunications. In healthcare, they are used to predict disease outbreaks, personalise patient care, and improve diagnostic accuracy. In finance, they facilitate fraud detection, risk management, and algorithmic trading. Retailers use these platforms for customer segmentation, inventory management, and recommendation systems, while in telecommunications, they enhance network optimisation, customer retention strategies, and service personalisation.

North America accounts for a significant portion of the data science platform market share, attributed to its robust technological infrastructure, significant investments in research and development, and the early adoption of advanced analytics solutions across industries. However, the Asia-Pacific region is expected to witness the fastest growth during the forecast period, driven by the rapid digital transformation, growing tech-savvy workforce, and increasing government initiatives promoting the use of big data and AI technologies.

Market Segmentation

The market can be divided based on component, deployment, organisation size, industry, and region.

Market Breakup by Component

  • Platform
  • Services
  • Professional Services
  • Consulting
  • Deployment and Integration
  • Support and Maintenance

Market Breakup by Deployment

  • Cloud
  • On-Premises

Market Breakup by Organisation Size

  • Small and Medium Enterprise
  • Large Enterprise

Market Breakup by Industry

  • BFSI
  • Telecommunication and IT
  • Retail and E-Commerce
  • Healthcare and Lifesciences
  • Government and Defence
  • Media and Entertainment
  • Manufacturing
  • Transportation and Logistics
  • Energy and Utilities
  • Others

Market Breakup by Region

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa

Competitive Landscape

The report looks into the market shares, plant turnarounds, capacities, investments, and mergers and acquisitions, among other major developments, of the leading companies operating in the global data science platform market. Some of the major players explored in the report are as follows:
  • IBM Corporation
  • Alphabet Inc.
  • Microsoft Corporation
  • The MathWorks, Inc.
  • SAS Institute Inc.
  • Cloudera, Inc
  • Cloud Software Group, Inc.
  • Alteryx, Inc.
  • Dataiku Inc.
  • TIBCO Software Inc
  • Others


This product will be delivered within 5-7 business days.

Table of Contents

1 Preface2 Report Coverage - Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Market Snapshot
6.1 Global
6.2 Regional
7 Opportunities and Challenges in the Market
8 Global Data Science Platform Market Analysis
8.1 Key Industry Highlights
8.2 Global Data Science Platform Historical Market (2018-2023)
8.3 Global Data Science Platform Market Forecast (2024-2032)
8.4 Global Data Science Platform Market by Component
8.4.1 Platform
8.4.1.1 Historical Trend (2018-2023)
8.4.1.2 Forecast Trend (2024-2032)
8.4.2 Services
8.4.2.1 Historical Trend (2018-2023)
8.4.2.2 Forecast Trend (2024-2032)
8.4.2.2.1 Professional Services
8.4.2.2.2 Consulting
8.4.2.2.3 Deployment and Integration
8.4.2.2.4 Support and Maintenance
8.5 Global Data Science Platform Market by Deployment
8.5.1 Cloud
8.5.1.1 Historical Trend (2018-2023)
8.5.1.2 Forecast Trend (2024-2032)
8.5.2 On-Premises
8.5.2.1 Historical Trend (2018-2023)
8.5.2.2 Forecast Trend (2024-2032)
8.6 Global Data Science Platform Market by Organisation Size
8.6.1 Small and Medium Enterprise
8.6.1.1 Historical Trend (2018-2023)
8.6.1.2 Forecast Trend (2024-2032)
8.6.2 Large Enterprise
8.6.2.1 Historical Trend (2018-2023)
8.6.2.2 Forecast Trend (2024-2032)
8.7 Global Data Science Platform Market by Industry
8.7.1 BFSI
8.7.1.1 Historical Trend (2018-2023)
8.7.1.2 Forecast Trend (2024-2032)
8.7.2 Telecommunication and IT
8.7.2.1 Historical Trend (2018-2023)
8.7.2.2 Forecast Trend (2024-2032)
8.7.3 Retail and E-Commerce
8.7.3.1 Historical Trend (2018-2023)
8.7.3.2 Forecast Trend (2024-2032)
8.7.4 Healthcare and Lifesciences
8.7.4.1 Historical Trend (2018-2023)
8.7.4.2 Forecast Trend (2024-2032)
8.7.5 Government and Defence
8.7.5.1 Historical Trend (2018-2023)
8.7.5.2 Forecast Trend (2024-2032)
8.7.6 Media and Entertainment
8.7.6.1 Historical Trend (2018-2023)
8.7.6.2 Forecast Trend (2024-2032)
8.7.7 Manufacturing
8.7.7.1 Historical Trend (2018-2023)
8.7.7.2 Forecast Trend (2024-2032)
8.7.8 Transportation and Logistics
8.7.8.1 Historical Trend (2018-2023)
8.7.8.2 Forecast Trend (2024-2032)
8.7.9 Energy and Utilities
8.7.9.1 Historical Trend (2018-2023)
8.7.9.2 Forecast Trend (2024-2032)
8.7.10 Others
8.8 Global Data Science Platform Market by Region
8.8.1 North America
8.8.1.1 Historical Trend (2018-2023)
8.8.1.2 Forecast Trend (2024-2032)
8.8.2 Europe
8.8.2.1 Historical Trend (2018-2023)
8.8.2.2 Forecast Trend (2024-2032)
8.8.3 Asia Pacific
8.8.3.1 Historical Trend (2018-2023)
8.8.3.2 Forecast Trend (2024-2032)
8.8.4 Latin America
8.8.4.1 Historical Trend (2018-2023)
8.8.4.2 Forecast Trend (2024-2032)
8.8.5 Middle East and Africa
8.8.5.1 Historical Trend (2018-2023)
8.8.5.2 Forecast Trend (2024-2032)
9 North America Data Science Platform Market Analysis
9.1 United States of America
9.1.1 Historical Trend (2018-2023)
9.1.2 Forecast Trend (2024-2032)
9.2 Canada
9.2.1 Historical Trend (2018-2023)
9.2.2 Forecast Trend (2024-2032)
10 Europe Data Science Platform Market Analysis
10.1 United Kingdom
10.1.1 Historical Trend (2018-2023)
10.1.2 Forecast Trend (2024-2032)
10.2 Germany
10.2.1 Historical Trend (2018-2023)
10.2.2 Forecast Trend (2024-2032)
10.3 France
10.3.1 Historical Trend (2018-2023)
10.3.2 Forecast Trend (2024-2032)
10.4 Italy
10.4.1 Historical Trend (2018-2023)
10.4.2 Forecast Trend (2024-2032)
10.5 Others
11 Asia Pacific Data Science Platform Market Analysis
11.1 China
11.1.1 Historical Trend (2018-2023)
11.1.2 Forecast Trend (2024-2032)
11.2 Japan
11.2.1 Historical Trend (2018-2023)
11.2.2 Forecast Trend (2024-2032)
11.3 India
11.3.1 Historical Trend (2018-2023)
11.3.2 Forecast Trend (2024-2032)
11.4 ASEAN
11.4.1 Historical Trend (2018-2023)
11.4.2 Forecast Trend (2024-2032)
11.5 Australia
11.5.1 Historical Trend (2018-2023)
11.5.2 Forecast Trend (2024-2032)
11.6 Others
12 Latin America Data Science Platform Market Analysis
12.1 Brazil
12.1.1 Historical Trend (2018-2023)
12.1.2 Forecast Trend (2024-2032)
12.2 Argentina
12.2.1 Historical Trend (2018-2023)
12.2.2 Forecast Trend (2024-2032)
12.3 Mexico
12.3.1 Historical Trend (2018-2023)
12.3.2 Forecast Trend (2024-2032)
12.4 Others
13 Middle East and Africa Data Science Platform Market Analysis
13.1 Saudi Arabia
13.1.1 Historical Trend (2018-2023)
13.1.2 Forecast Trend (2024-2032)
13.2 United Arab Emirates
13.2.1 Historical Trend (2018-2023)
13.2.2 Forecast Trend (2024-2032)
13.3 Nigeria
13.3.1 Historical Trend (2018-2023)
13.3.2 Forecast Trend (2024-2032)
13.4 South Africa
13.4.1 Historical Trend (2018-2023)
13.4.2 Forecast Trend (2024-2032)
13.5 Others
14 Market Dynamics
14.1 SWOT Analysis
14.1.1 Strengths
14.1.2 Weaknesses
14.1.3 Opportunities
14.1.4 Threats
14.2 Porter's Five Forces Analysis
14.2.1 Supplier's Power
14.2.2 Buyer's Power
14.2.3 Threat of New Entrants
14.2.4 Degree of Rivalry
14.2.5 Threat of Substitutes
15 Competitive Landscape
15.1 Market Structure
15.2 Company Profiles
15.2.1 IBM Corporation
15.2.1.1 Company Overview
15.2.1.2 Product Portfolio
15.2.1.3 Demographic Reach and Achievements
15.2.1.4 Certifications
15.2.2 Alphabet Inc.
15.2.2.1 Company Overview
15.2.2.2 Product Portfolio
15.2.2.3 Demographic Reach and Achievements
15.2.2.4 Certifications
15.2.3 Microsoft Corporation
15.2.3.1 Company Overview
15.2.3.2 Product Portfolio
15.2.3.3 Demographic Reach and Achievements
15.2.3.4 Certifications
15.2.4 The MathWorks, Inc.
15.2.4.1 Company Overview
15.2.4.2 Product Portfolio
15.2.4.3 Demographic Reach and Achievements
15.2.4.4 Certifications
15.2.5 SAS Institute Inc.
15.2.5.1 Company Overview
15.2.5.2 Product Portfolio
15.2.5.3 Demographic Reach and Achievements
15.2.5.4 Certifications
15.2.6 Cloudera, Inc
15.2.6.1 Company Overview
15.2.6.2 Product Portfolio
15.2.6.3 Demographic Reach and Achievements
15.2.6.4 Certifications
15.2.7 Cloud Software Group, Inc.
15.2.7.1 Company Overview
15.2.7.2 Product Portfolio
15.2.7.3 Demographic Reach and Achievements
15.2.7.4 Certifications
15.2.8 Alteryx, Inc.
15.2.8.1 Company Overview
15.2.8.2 Product Portfolio
15.2.8.3 Demographic Reach and Achievements
15.2.8.4 Certifications
15.2.9 Dataiku Inc.
15.2.9.1 Company Overview
15.2.9.2 Product Portfolio
15.2.9.3 Demographic Reach and Achievements
15.2.9.4 Certifications
15.2.10 TIBCO Software Inc
15.2.10.1 Company Overview
15.2.10.2 Product Portfolio
15.2.10.3 Demographic Reach and Achievements
15.2.10.4 Certifications
15.2.11 Others
16 Key Trends and Developments in the Market
List of Key Figures and Tables
1. Global Data Science Platform Market: Key Industry Highlights, 2018 and 2032
2. Global Data Science Platform Historical Market: Breakup by Component (USD Billion), 2018-2023
3. Global Data Science Platform Market Forecast: Breakup by Component (USD Billion), 2024-2032
4. Global Data Science Platform Historical Market: Breakup by Deployment (USD Billion), 2018-2023
5. Global Data Science Platform Market Forecast: Breakup by Deployment (USD Billion), 2024-2032
6. Global Data Science Platform Historical Market: Breakup by Organisation Size (USD Billion), 2018-2023
7. Global Data Science Platform Market Forecast: Breakup by Organisation Size (USD Billion), 2024-2032
8. Global Data Science Platform Historical Market: Breakup by Industry (USD Billion), 2018-2023
9. Global Data Science Platform Market Forecast: Breakup by Industry (USD Billion), 2024-2032
10. Global Data Science Platform Historical Market: Breakup by Region (USD Billion), 2018-2023
11. Global Data Science Platform Market Forecast: Breakup by Region (USD Billion), 2024-2032
12. North America Data Science Platform Historical Market: Breakup by Country (USD Billion), 2018-2023
13. North America Data Science Platform Market Forecast: Breakup by Country (USD Billion), 2024-2032
14. Europe Data Science Platform Historical Market: Breakup by Country (USD Billion), 2018-2023
15. Europe Data Science Platform Market Forecast: Breakup by Country (USD Billion), 2024-2032
16. Asia Pacific Data Science Platform Historical Market: Breakup by Country (USD Billion), 2018-2023
17. Asia Pacific Data Science Platform Market Forecast: Breakup by Country (USD Billion), 2024-2032
18. Latin America Data Science Platform Historical Market: Breakup by Country (USD Billion), 2018-2023
19. Latin America Data Science Platform Market Forecast: Breakup by Country (USD Billion), 2024-2032
20. Middle East and Africa Data Science Platform Historical Market: Breakup by Country (USD Billion), 2018-2023
21. Middle East and Africa Data Science Platform Market Forecast: Breakup by Country (USD Billion), 2024-2032
22. Global Data Science Platform Market Structure

Companies Mentioned

  • IBM Corporation
  • Alphabet Inc.
  • Microsoft Corporation
  • The MathWorks Inc.
  • SAS Institute Inc.
  • Cloudera Inc
  • Cloud Software Group Inc.
  • Alteryx Inc.
  • Dataiku Inc.
  • TIBCO Software Inc

Methodology

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Table Information