데이터 사이언스 플랫폼 시장(2026-2030년)

The global data science platform market is forecasted to grow by USD 707836.3 mn during 2025-2030, accelerating at a CAGR of 33.1% during the forecast period. The report on the global data science platform market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by expansion of big data through industrial connectivity and iot, advancement of automated analytics and democratization of data insights, institutionalization of ethical AI and robust corporate governance.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global data science platform market is segmented as below:

By Deployment

• On-premises
• Cloud

By Component

• Platform
• Services

By End-User

• BFSI
• Retail and e-commerce
• Manufacturing
• Media and entertainment
• Others

By Sector

• Large enterprises
• SMEs

Geography

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Russia
• APAC
  • China
  • Japan
  • India
  • Australia
  • South Korea
  • Singapore
• South America
  • Brazil
  • Argentina
  • Chile
• Middle East and Africa
  • UAE
  • South Africa
• Rest of World (ROW)

This study identifies the shift toward decentralized analytics and federated learning as one of the prime reasons driving the global data science platform market growth during the next few years. Also, rise of model observability and advanced machine learning operations and transition toward decentralized data mesh architectures will lead to sizable demand in the market.

The report on the global data science platform market covers the following areas:

• Global data science platform market sizing
• Global data science platform market forecast
• Global data science platform market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global data science platform market vendors that include Altair Engineering Inc., Alteryx Inc., Amazon.com Inc., Cloudera Inc., Databricks Inc., Dataiku Inc., Google LLC, H2O.ai Inc., IBM Corp., KNIME AG, Microsoft Corp., Oracle Corp., Palantir Technologies Inc., QlikTech International AB, Salesforce Inc., SAP SE, SAS Institute Inc., Snowflake Inc., Talend Inc., The MathWorks Inc.. Also, the global data science platform market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Deployment
  • Executive Summary - Chart on Market Segmentation by Component
  • Executive Summary - Chart on Market Segmentation by End-user
  • Executive Summary - Chart on Market Segmentation by Sector
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2025
• 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

• 5.1 Global Data Science Platform Market 2020 - 2024
  • Historic Market Size - Data Table on Global Data Science Platform Market 2020 - 2024 ($ million)
• 5.2 Deployment segment analysis 2020 - 2024
  • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
• 5.3 Component segment analysis 2020 - 2024
  • Historic Market Size - Component Segment 2020 - 2024 ($ million)
• 5.4 End-user segment analysis 2020 - 2024
  • Historic Market Size - End-user Segment 2020 - 2024 ($ million)
• 5.5 Sector segment analysis 2020 - 2024
  • Historic Market Size - Sector Segment 2020 - 2024 ($ million)
• 5.6 Geography segment analysis 2020 - 2024
  • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
• 5.7 Country segment analysis 2020 - 2024
  • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

• 6.1 Impact of AI on Global Data Science Platform Market
• 6.2 Impact of geopolitical conflict on Global Data Science Platform Market

7 Five Forces Analysis

• 7.1 Five forces summary
  • Five forces analysis - Comparison between 2025 and 2030
• 7.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2025 and 2030
• 7.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
• 7.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2025 and 2030
• 7.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2025 and 2030
• 7.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2025 and 2030
• 7.7 Market condition

8 Market Segmentation by Deployment

• 8.1 Market segments
• 8.2 Comparison by Deployment
• 8.3 On-premises - Market size and forecast 2025-2030
• 8.4 Cloud - Market size and forecast 2025-2030
• 8.5 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

9 Market Segmentation by Component

• 9.1 Market segments
• 9.2 Comparison by Component
• 9.3 Platform - Market size and forecast 2025-2030
• 9.4 Services - Market size and forecast 2025-2030
• 9.5 Market opportunity by Component
  • Market opportunity by Component ($ million)

10 Market Segmentation by End-user

• 10.1 Market segments
• 10.2 Comparison by End-user
• 10.3 BFSI - Market size and forecast 2025-2030
• 10.4 Retail and e-commerce - Market size and forecast 2025-2030
• 10.5 Manufacturing - Market size and forecast 2025-2030
• 10.6 Media and entertainment - Market size and forecast 2025-2030
• 10.7 Others - Market size and forecast 2025-2030
• 10.8 Market opportunity by End-user
  • Market opportunity by End-user ($ million)

11 Market Segmentation by Sector

• 11.1 Market segments
• 11.2 Comparison by Sector
• 11.3 Large enterprises - Market size and forecast 2025-2030
• 11.4 SMEs - Market size and forecast 2025-2030
• 11.5 Market opportunity by Sector
  • Market opportunity by Sector ($ million)

12 Customer Landscape

• 12.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

13 Geographic Landscape

• 13.1 Geographic segmentation
• 13.2 Geographic comparison
• 13.3 North America - Market size and forecast 2025-2030
  • 13.3.1 US - Market size and forecast 2025-2030
  • 13.3.2 Canada - Market size and forecast 2025-2030
  • 13.3.3 Mexico - Market size and forecast 2025-2030
• 13.4 Europe - Market size and forecast 2025-2030
  • 13.4.1 Germany - Market size and forecast 2025-2030
  • 13.4.2 UK - Market size and forecast 2025-2030
  • 13.4.3 France - Market size and forecast 2025-2030
  • 13.4.4 Italy - Market size and forecast 2025-2030
  • 13.4.5 Spain - Market size and forecast 2025-2030
  • 13.4.6 Russia - Market size and forecast 2025-2030
• 13.5 APAC - Market size and forecast 2025-2030
  • 13.5.1 China - Market size and forecast 2025-2030
  • 13.5.2 Japan - Market size and forecast 2025-2030
  • 13.5.3 India - Market size and forecast 2025-2030
  • 13.5.4 Australia - Market size and forecast 2025-2030
  • 13.5.5 South Korea - Market size and forecast 2025-2030
  • 13.5.6 Singapore - Market size and forecast 2025-2030
• 13.6 South America - Market size and forecast 2025-2030
  • 13.6.1 Brazil - Market size and forecast 2025-2030
  • 13.6.2 Argentina - Market size and forecast 2025-2030
  • 13.6.3 Chile - Market size and forecast 2025-2030
• 13.7 Middle East and Africa - Market size and forecast 2025-2030
  • 13.7.1 Saudi Arabia - Market size and forecast 2025-2030
  • 13.7.2 UAE - Market size and forecast 2025-2030
  • 13.7.3 South Africa - Market size and forecast 2025-2030
  • 13.7.4 Israel - Market size and forecast 2025-2030
  • 13.7.5 Nigeria - Market size and forecast 2025-2030
• 13.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

14 Drivers, Challenges, and Opportunity

• 14.1 Market drivers
  • Expansion of big data through industrial connectivity and IoT
  • Advancement of automated analytics and democratization of data insights
  • Institutionalization of ethical AI and robust corporate governance
• 14.2 Market challenges
  • Data privacy and regulatory complexity
  • Persistent talent shortage and technical skill gap
  • Integration with legacy infrastructure and data silos
• 14.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2025 and 2030
• 14.4 Market opportunities
  • Shift toward decentralized analytics and federated learning
  • Rise of model observability and advanced machine learning operations
  • Transition toward decentralized data mesh architectures

15 Competitive Landscape

• 15.1 Overview
• 15.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 15.3 Landscape disruption
  • Overview on factors of disruption
• 15.4 Industry risks
  • Impact of key risks on business

16 Competitive Analysis

• 16.1 Companies profiled
  • Companies covered
• 16.2 Company ranking index
  • Company ranking index
• 16.3 Market positioning of companies
  • Matrix on companies position and classification
• 16.4 Altair Engineering Inc.
  • Altair Engineering Inc. - Overview
  • Altair Engineering Inc. - Business segments
  • Altair Engineering Inc. - Key news
  • Altair Engineering Inc. - Key offerings
  • Altair Engineering Inc. - Segment focus
  • SWOT
• 16.5 Alteryx Inc.
  • Alteryx Inc. - Overview
  • Alteryx Inc. - Product / Service
  • Alteryx Inc. - Key offerings
  • SWOT
• 16.6 Amazon.com Inc.
  • Amazon.com Inc. - Overview
  • Amazon.com Inc. - Business segments
  • Amazon.com Inc. - Key news
  • Amazon.com Inc. - Key offerings
  • Amazon.com Inc. - Segment focus
  • SWOT
• 16.7 Databricks Inc.
  • Databricks Inc. - Overview
  • Databricks Inc. - Product / Service
  • Databricks Inc. - Key offerings
  • SWOT
• 16.8 Dataiku Inc.
  • Dataiku Inc. - Overview
  • Dataiku Inc. - Product / Service
  • Dataiku Inc. - Key offerings
  • SWOT
• 16.9 Google LLC
  • Google LLC - Overview
  • Google LLC - Product / Service
  • Google LLC - Key offerings
  • SWOT
• 16.10 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 16.11 KNIME AG
  • KNIME AG - Overview
  • KNIME AG - Product / Service
  • KNIME AG - Key offerings
  • SWOT
• 16.12 Microsoft Corp.
  • Microsoft Corp. - Overview
  • Microsoft Corp. - Business segments
  • Microsoft Corp. - Key news
  • Microsoft Corp. - Key offerings
  • Microsoft Corp. - Segment focus
  • SWOT
• 16.13 Oracle Corp.
  • Oracle Corp. - Overview
  • Oracle Corp. - Business segments
  • Oracle Corp. - Key news
  • Oracle Corp. - Key offerings
  • Oracle Corp. - Segment focus
  • SWOT
• 16.14 Palantir Technologies Inc.
  • Palantir Technologies Inc. - Overview
  • Palantir Technologies Inc. - Product / Service
  • Palantir Technologies Inc. - Key offerings
  • SWOT
• 16.15 Salesforce Inc.
  • Salesforce Inc. - Overview
  • Salesforce Inc. - Business segments
  • Salesforce Inc. - Key news
  • Salesforce Inc. - Key offerings
  • Salesforce Inc. - Segment focus
  • SWOT
• 16.16 SAP SE
  • SAP SE - Overview
  • SAP SE - Business segments
  • SAP SE - Key news
  • SAP SE - Key offerings
  • SAP SE - Segment focus
  • SWOT
• 16.17 SAS Institute Inc.
  • SAS Institute Inc. - Overview
  • SAS Institute Inc. - Product / Service
  • SAS Institute Inc. - Key offerings
  • SWOT
• 16.18 Snowflake Inc.
  • Snowflake Inc. - Overview
  • Snowflake Inc. - Business segments
  • Snowflake Inc. - Key offerings
  • Snowflake Inc. - Segment focus
  • SWOT

17 Appendix

• 17.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 17.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 17.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 17.4 Research methodology
  • Research methodology
• 17.5 Data procurement
  • Information sources
• 17.6 Data validation
  • Data validation
• 17.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 17.8 Data synthesis
  • Data synthesis
• 17.9 360 degree market analysis
  • 360 degree market analysis
• 17.10 List of abbreviations
  • List of abbreviations