Data Science Platform Market Research Report 2026-2035 - Developing Regions in Asia Offer Significant Growth Potential Due to Rapid Digital Transformation

Key opportunities in the data science platform market lie in expanding cloud deployments, growing demand in logistic applications due to e-commerce, and the rising need in the BFSI sector for risk management tools. Additionally, developing regions like Asia offer significant growth potential due to rapid digital transformation.


Dublin, Feb. 12, 2026 (GLOBE NEWSWIRE) -- The "Data Science Platform Market, Till 2035: Distribution by Type of Component, Type of Deployment, Type of Application, Type of Vertical, and Geographical Regions: Industry Trends and Global Forecasts" report has been added to ResearchAndMarkets.com's offering.

The global data science platform market size is estimated to grow from USD 138 billion in the current year USD 1.67 trillion by 2035, at a CAGR of 25.47% during the forecast period, till 2035.

As digital transformation accelerates and smart devices become increasingly ubiquitous, the market for data science platforms is experiencing remarkable growth. Data science platforms are defined as all-encompassing software and solutions that provide data scientists, analysts, and engineers with tools, frameworks, and infrastructure to create, deploy, and manage solutions driven by data. These platforms enable data scientists to conduct a wide range of activities from data exploration and feature engineering to data visualization.

With businesses striving to leverage the potential of data analytics and business intelligence, the requirement for advanced data science platforms is on the rise. Various influencing factors, such as the necessity for better decision-making, enhanced operational efficiency, and a more profound comprehension of customer behaviors, are broadening the market's perspective.

In addition to these factors, there is a notable trend toward data visualization platforms that convert intricate datasets into easily understandable insights. These tools facilitate swift and effective decision-making for organizations. Furthermore, machine learning platforms are becoming increasingly popular as they allow businesses to automate processes and discover hidden patterns within their datasets.

Consequently, the applications of data science platforms in the business realm are extensive and diverse, encompassing everything from predictive analytics for marketing strategies to improving supply chain analytics through advanced forecasting methods. As a result, the demand for these platforms and services is prompting organizations across various sectors to boost market growth.

North America captures the majority share of the market. Additionally, Asia is anticipated to experience remarkable growth with a higher CAGR during the forecast period. This can be attributed to the rapid progress in digital transformation and economic development in this region. The increasing prevalence of smartphones, IoT devices, enhanced internet services, and the creation of smart cities are producing significant amounts of data that require sophisticated data science software and tools, thereby leading to remarkable growth in market development.

Data Science Platform Market: Key Segments

Market Share by Type of Component

Based on type of component, the global data science platform market is segmented into platform and service. According to our estimates, currently, the platform segment captures the majority of the market share, due to its comprehensive tools and features. These platforms integrate tools for data preparation and deployment of machine learning models within a single or collaborative environment, helping organizations optimize their workflows.

Conversely, the service segment is expected to grow at a higher CAGR during the forecast period. This increase can be attributed to the rising trend of outsourcing services, which enables companies to take advantage of the knowledge of industry experts and technical support, ensuring efficient platform operation, minimizing downtime, and addressing challenges effectively.

Market Share by Type of Deployment

Based on type of deployment, the global data science platform market is segmented into cloud and on-premises. According to our estimates, currently, the cloud deployment segment captures the majority of the market share. This can be attributed to the significant increase in the use of cloud-based data science platforms. However, the on-premises segment is expected to grow at a higher CAGR during the forecast period. This is due to the fact that on-premises deployment model is predominantly favored by large companies due to its robust security features, granting organizations complete control over their data.

Market Share by Type of Application

Based on type of application, the global data science platform market is segmented into business operation, customer support, finance & accounting, logistics, marketing, and others. According to our estimates, currently, the marketing application captures the majority of the market share. This can be attributed to the growing demand for solutions that provide personalization, customer targeting, and behavior analysis across various organizations. Data science platforms and tools enable customized customer experiences through recommendation engines and predictive targeting.

However, the logistics segment is expected to grow at a higher CAGR during the forecast period. This growth can be attributed to the expansion of the logistics industry driven by the rapid rise of the e-commerce sector, which has increased the demand for logistics solutions to improve efficiency, optimize routing, and manage inventory.

Market Share by Type of Vertical

Based on type of vertical, the global data science platform market is segmented into BFSI, energy utilities, government, healthcare, it & telecom, manufacturing, retail, and others. According to our estimates, currently, the BFSI industry captures the majority of the market share. This can be attributed to the strong demand for tools for fraud detection and risk management, which are driven by the significant amount of sensitive data related to transactions and customer information. As a result of these advantages, banks and financial institutions are increasingly utilizing big data analytics platforms to assess data, enhance decision-making, and improve customer experiences, thereby boosting operational efficiency. Additionally, the stringent regulatory requirements in this sector make enterprise data management solutions indispensable.

Key Questions Answered in this Report

  • How many companies are currently engaged in data science platform market?
  • Which are the leading companies in this market?
  • What factors are likely to influence the evolution of this market?
  • What is the current and future market size?
  • What is the CAGR of this market?
  • How is the current and future market opportunity likely to be distributed across key market segments?

COMPETITIVE LANDSCAPE

  • Data Science Platform: Overall Market Landscape
  • Analysis by Year of Establishment
  • Analysis by Company Size
  • Analysis by Location of Headquarters
  • Analysis by Ownership Structure

STARTUP ECOSYSTEM IN THE DATA SCIENCE PLATFORM MARKET

  • Data Science Platform: Market Landscape of Startups
  • Analysis by Year of Establishment
  • Analysis by Company Size
  • Analysis by Company Size and Year of Establishment
  • Analysis by Location of Headquarters
  • Analysis by Company Size and Location of Headquarters
  • Analysis by Ownership Structure
  • Key Findings

COMPANY PROFILES

  • Altair
    • Company Overview
    • Company Mission
    • Company Footprint
    • Management Team
    • Contact Details
    • Financial Performance
    • Operating Business Segments
    • Service / Product Portfolio (project specific)
    • MOAT Analysis
    • Recent Developments and Future Outlook
  • Alteryx
  • Amvik Systems
  • Arrikto
  • AWS
  • Cloudera
  • Databand
  • Databricks
  • Dataiku
  • DataRobot
  • Google
  • H2O.AI
  • IBM
  • MathWorks
  • Microsoft
  • RapidMiner
  • SAP
  • SAS
  • Spell
  • Teradata
  • TIBCO

REPORT SCOPE

Type of Component

  • Platform
  • Service

Type of Deployment

  • Cloud
  • On-Premises

Type of Application

  • Business Operation
  • Customer Support
  • Finance & Accounting
  • Logistics
  • Marketing
  • Others

Type of Vertical

  • BFSI
  • Energy Utilities
  • Government
  • Healthcare
  • IT & Telecom
  • Manufacturing
  • Retail
  • Others

Geographical Regions

  • North America
  • US
  • Canada
  • Mexico
  • Other North American countries
  • Europe
  • Austria
  • Belgium
  • Denmark
  • France
  • Germany
  • Ireland
  • Italy
  • Netherlands
  • Norway
  • Russia
  • Spain
  • Sweden
  • Switzerland
  • UK
  • Other European countries
  • Asia
  • China
  • India
  • Japan
  • Singapore
  • South Korea
  • Other Asian countries
  • Latin America
  • Brazil
  • Chile
  • Colombia
  • Venezuela
  • Other Latin American countries
  • Middle East and North Africa
  • Egypt
  • Iran
  • Iraq
  • Israel
  • Kuwait
  • Saudi Arabia
  • UAE
  • Other MENA countries
  • Rest of the World
  • Australia
  • New Zealand
  • Other countries

Additional Benefits

  • Complimentary Excel Data Packs for all Analytical Modules in the Report
  • 15% Free Content Customization
  • Detailed Report Walkthrough Session with the Research Team
  • Free Updated report if the report is 6-12 months old or older

For more information about this report visit https://www.researchandmarkets.com/r/zi0cae

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