2026-2030年全球資料科學平台市場

全球資料科學平台市場預計將從 2025 年到 2030 年成長至 7,078.363 億美元，預測期內複合年成長率為 33.1%。

這份關於全球資料科學平台市場的報告提供了全面的分析，包括市場規模和預測、趨勢、成長要素、挑戰以及涵蓋約 25 家供應商的供應商分析。

本報告對當前市場狀況、最新趨勢和促進因素以及整體市場環境進行了最新分析。推動該市場發展的因素包括：工業互聯和物聯網帶來的巨量資料擴展、自動化分析技術的進步和數據洞察的普及、符合倫理的人工智慧的製度化以及健全的企業管治。

本研究客觀地結合一手和二手訊息，包括主要行業相關人員的意見，進行了這項研究。報告內容包括對主要企業的分析、全面的市場規模數據、區域細分分析以及供應商格局。報告還包含了歷史數據和預測數據。

本研究指出，分散式分析和聯邦學習的興起將是未來幾年全球資料科學平台市場成長的關鍵促進因素之一。此外，模型可觀測性和進階機器學習操作的興起，以及分散式資料網格架構的普及，預計也將產生顯著的市場需求。

目錄

第1章執行摘要

第2章 Technavio 分析

• 分析定價、生命週期、顧客購買籃子、採用率和購買標準。
• 輸入的重要性及差異化因素
• 混淆因素
• 促進因素和挑戰的影響

第3章 市場狀況

• 市場生態系統
• 市場特徵
• 價值鏈分析

第4章 市場規模

• 市場的定義
• 市場區隔分析
• 2025年市場規模
• 2025-2030年市場展望

第5章 市場規模與表現

• 2020-2024年全球資料科學平台市場
• 2020-2024年部署細分市場分析
• 2020-2024年零件細分市場分析
• 2020-2024年最終用戶細分市場分析
• 2020-2024年各產業分析
• 2020-2024年區域市場分析
• 2020-2024年各國細分市場分析

第6章 定性分析

• 人工智慧的影響：全球資料科學平台市場
• 地緣政治衝突影響全球資料科學平台市場。

第7章：五力分析

• 五力模型概述
• 買方的議價能力
• 供應商的議價能力
• 新進入者的威脅
• 替代品的威脅
• 競爭威脅
• 市場狀況

第8章 市場區隔：依部署方式

• 比較：依部署方式
• 現場
• 雲
• 市場機會：依發展階段分類

第9章 市場區隔：依組件

• 比較：按組件
• 平台
• 服務
• 市場機會：按組件分類

第10章 市場區隔：依最終用戶分類

• 比較：按最終用戶
• BFSI
• 零售與電子商務
• 製造業
• 媒體與娛樂
• 其他
• 市場機會：依最終用戶分類

第11章 市場區隔：依行業

• 比較：按行業
• 主要企業
• 小型企業
• 市場機會：依產業分類

第12章 客戶狀況

第13章 區域情勢

• 區域細分
• 區域比較
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲
  • 德國
  • 英國
  • 法國
  • 義大利
  • 西班牙
  • 俄羅斯
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 澳洲
  • 韓國
  • 新加坡
• 南美洲
  • 巴西
  • 阿根廷
  • 智利
• 中東和非洲
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非
  • 以色列
  • 奈及利亞
• 市場機會：按地區分類

第14章 促進因素、挑戰與機遇

• 市場促進因素
• 市場挑戰
• 促進因素和挑戰的影響
• 市場機遇

第15章 競爭格局

• 概述
• 競爭格局
• 混亂局面
• 產業風險

第16章 競爭分析

• 公司簡介
• 公司排名指標
• 企業市場定位
• Altair Engineering Inc.
• Alteryx Inc.
• Amazon.com Inc.
• Databricks Inc.
• Dataiku Inc.
• Google LLC
• IBM Corp.
• KNIME AG
• Microsoft Corp.
• Oracle Corp.
• Palantir Technologies Inc.
• Salesforce Inc.
• SAP SE
• SAS Institute Inc.
• Snowflake Inc.

第17章附錄

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