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市場調查報告書

商品編碼

1732728

全球數據科學平台市場研究報告-產業分析、規模、佔有率、成長、趨勢與預測 2025 年至 2033 年

Global Data Science Platform Market Research Report- Industry Analysis, Size, Share, Growth, Trends and Forecast 2025 to 2033

出版日期: 2025年05月01日 | 出版商:

Value Market Research | 英文 184 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄圖表

全球資料科學平台市場規模預計將從 2024 年的 2,073.3 億美元成長到 2033 年的 19,284.9 億美元，在 2026 年至 2033 年的預測期內，年複合成長率(CAGR) 將達到 28.12%。

隨著企業利用數據驅動的洞察力進行創新並獲得競爭優勢，數據科學平台市場正在強勁擴張。整合資料準備、模型開發、視覺化和部署的綜合平台使資料科學家和分析師能夠加速端到端分析生命週期。透過促進協作和自動執行重複性任務，這些平台提高了生產力並縮短了洞察時間，這在快節奏的商業環境中至關重要。

隨著組織擴大採用人工智慧和機器學習，資料科學平台也在不斷發展以支援高級演算法、可擴展計算和即時分析。與雲端基礎架構和分散式運算框架的整合有助於靈活、有彈性地處理龐大、複雜的資料集。 MLOps 功能的加入增強了模型治理、監控和生命週期管理，確保了持續的準確性和合規性。

此外，這些平台透過直覺的介面、預建演算法和自動化特徵工程使資料科學的存取民主化，使業務用戶能夠為資料計劃做出貢獻。隨著各行各業對操作化人工智慧和資料智慧的需求不斷增強，數據科學平台市場將持續成長。

我們的報告經過精心製作，為客戶提供有關各個行業和市場的全面且可行的見解。每份報告都包含幾個關鍵部分，以確保徹底了解市場格局：

市場概覽：市場的詳細介紹，包括定義、分類和行業現狀概述。

市場動態：深入分析影響市場成長的關鍵促進因素、限制因素、機會與挑戰。本節探討技術進步、監管變化和新興趨勢等因素。

細分分析：根據產品類型、應用、最終用戶和地理位置等標準將市場細分為不同的細分市場。該分析強調了每個部分的表現和潛力。

競爭格局：對主要市場參與者的全面評估，包括其市場佔有率、產品組合、策略舉措和財務表現。本節深入分析了領先公司的競爭動態和採用的關鍵策略。

市場預測：根據歷史資料和當前市場狀況，對特定時期內的市場規模和成長趨勢進行預測。這包括定量分析和圖形表示，以說明未來的市場軌跡。

區域分析：評估不同地理區域的市場表現，確定關鍵市場和區域趨勢。這有助於了解區域市場動態和機會。

新興趨勢與機會：識別當前和新興的市場趨勢、技術創新和潛在投資領域。本節提供了對未來市場發展和成長前景的見解。

簡介 - 市場動態
市場促進因素
市場限制
機會
產業趨勢
波特五力分析
市場吸引力分析
- 各組成部分的市場吸引力分析
- 按部署模式進行的市場吸引力分析
- 依組織規模進行市場吸引力分析
- 依業務功能進行市場吸引力分析
- 垂直市場吸引力分析
- 市場吸引力分析：按地區

第4章：價值鏈分析

價值鏈分析
原料分析
- 原料清單
- 原料製造商清單
- 主要原物料價格走勢
潛在買家名單
行銷管道
- 直效行銷
- 間接行銷
- 行銷通路發展趨勢

第5章：全球數據科學平台市場分析：按組成部分

按組件概覽
按組件進行的歷史和預測資料分析
平台
服務

第6章：全球資料科學平台市場分析：依部署模式

依部署模式概述
依部署模式進行歷史和預測資料分析
雲
本地

第7章：全球資料科學平台市場分析：依組織規模

按組織規模概覽
按組織規模進行歷史與預測資料分析
中小企業
大型企業

第 8 章：全球資料科學平台市場分析：按業務功能

依業務功能概覽
按業務功能進行歷史和預測資料分析
行銷
銷售量
後勤
財會
客戶支援
其他

第9章：全球資料科學平台市場分析：依垂直產業

垂直概覽
按垂直行業進行歷史和預測數據分析
金融服務業
零售與電子商務
電信和IT
媒體與娛樂
醫療保健和生命科學
政府和國防
製造業
運輸和物流
能源和公用事業
其他

第 10 章：全球資料科學平台市場分析：按地區

區域展望
介紹
北美銷售分析
- 概述、歷史和預測數據銷售分析
- 北美各細分市場銷售分析
- 北美各國銷售分析
- 美國銷售分析
- 加拿大銷售分析
- 墨西哥銷售分析
歐洲銷售分析
- 概述、歷史和預測數據銷售分析
- 歐洲各細分市場銷售分析
- 歐洲各國銷售分析
- 英國銷售分析
- 法國銷售分析
- 德國銷售分析
- 義大利銷售分析
- 俄羅斯銷售分析
- 歐洲其他地區銷售分析
亞太地區銷售分析
- 概述、歷史和預測數據銷售分析
- 亞太地區分部銷售分析
- 亞太地區國家銷售分析
- 中國銷售分析
- 印度銷售分析
- 日本銷售分析
- 韓國銷售分析
- 澳洲銷售分析
- 東南亞銷售分析
- 亞太地區其他地區銷售分析
拉丁美洲銷售分析
- 概述、歷史和預測數據銷售分析
- 拉丁美洲各細分市場銷售分析
- 拉丁美洲各國銷售分析
- 巴西銷售分析
- 阿根廷銷售分析
- 秘魯銷售分析
- 智利銷售分析
- 拉丁美洲其他地區銷售分析
中東和非洲銷售分析
- 概述、歷史和預測數據銷售分析
- 中東和非洲分部銷售分析
- 中東和非洲國家銷售分析
- 沙烏地阿拉伯銷售分析
- 阿拉伯聯合大公國銷售分析
- 以色列銷售分析
- 南非銷售分析
- 中東和非洲其他地區銷售分析

第 11 章：數據科學平台公司的競爭格局

數據科學平台市場競爭
夥伴關係/合作/協議
併購
新產品發布
其他發展

第 12 章：公司簡介

頂級公司市佔率分析
市場集中度
IBM

公司概況
公司收入
產品
最新動態

Google

公司概況
公司收入
產品
最新動態

Microsoft

公司概況
公司收入
產品
最新動態

公司概況
公司收入
產品
最新動態

公司概況
公司收入
產品
最新動態

Snowflake

公司概況
公司收入
產品
最新動態

Databricks

公司概況
公司收入
產品
最新動態

Cloudera

公司概況
公司收入
產品
最新動態

Teradata

公司概況
公司收入
產品
最新動態

TIBCO

公司概況
公司收入
產品
最新動態

Alteryx

公司概況
公司收入
產品
最新動態

H2O.Ai

公司概況
公司收入
產品
最新動態

公司概況
公司收入
產品
最新動態

DataRobot

公司概況
公司收入
產品
最新動態

Domino Data Lab

公司概況
公司收入
產品
最新動態

注意 - 在公司簡介中，財務細節和最新發展取決於可用性，對於私人公司，可能不予涵蓋

簡介目錄圖表

Product Code: VMR11218839

Global Data Science Platform Market size is anticipated to grow from USD 207.33 Billion in 2024 to USD 1928.49 Billion by 2033, showcasing a robust Compound Annual Growth Rate (CAGR) of 28.12% during the forecast period of 2026 to 2033.

The Data Science Platform market is witnessing robust expansion as enterprises harness data-driven insights to innovate and gain competitive advantages. Comprehensive platforms that integrate data preparation, model development, visualization, and deployment enable data scientists and analysts to accelerate the end-to-end analytics lifecycle. By fostering collaboration and automating repetitive tasks, these platforms improve productivity and reduce time-to-insight, crucial in fast-paced business environments.

As organizations increasingly adopt AI and machine learning, data science platforms are evolving to support advanced algorithms, scalable computing, and real-time analytics. Integration with cloud infrastructure and distributed computing frameworks facilitates processing of vast, complex datasets with agility and resilience. The inclusion of MLOps capabilities enhances model governance, monitoring, and lifecycle management, ensuring sustained accuracy and compliance.

Moreover, these platforms are democratizing access to data science through intuitive interfaces, pre-built algorithms, and automated feature engineering, enabling business users to contribute to data initiatives. The Data Science Platform market will continue to grow as demand for operationalized AI and data intelligence intensifies across industries.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

SEGMENTATION COVERED IN THE REPORT

By Component

Platform
Services

By Deployment Mode

Cloud
On-premises

By Organization Size

Small and Medium-Sized Enterprises
Large Enterprises

By Business Function

Marketing
Sales
Logistics
Finance and Accounting
Customer Support
Others

By Vertical

BFSI
Retail and eCommerce
Telecom and IT
Media and Entertainment
Healthcare and Life Sciences
Government and Defense
Manufacturing
Transportation and Logistics
Energy and Utilities
Others
COMPANIES PROFILED
IBM
Google
Microsoft
AWS
SAS
Snowflake
Databricks
Cloudera
Teradata
TIBCO
Alteryx
H2O.ai
SAP
DataRobot
Domino Data Lab.
The above list can be customized.

1. PREFACE

1.1. Report Description
- 1.1.1 Objective
- 1.1.2 Target Audience
- 1.1.3 Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1 Market Research Process
- 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3. DATA SCIENCE PLATFORM INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Poerter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Component
- 3.7.2 Market Attractiveness Analysis By Deployment Mode
- 3.7.3 Market Attractiveness Analysis By Organization Size
- 3.7.4 Market Attractiveness Analysis By Business Function
- 3.7.5 Market Attractiveness Analysis By Vertical
- 3.7.6 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1 List of Raw Materials
- 4.2.2 Raw Material Manufactures List
- 4.2.3 Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1 Direct Marketing
- 4.4.2 Indirect Marketing
- 4.4.3 Marketing Channel Development Trend

5. GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY COMPONENT

5.1. Overview By Component
5.2. Historical and Forecast Data Analysis By Component
5.3. Platform Historic and Forecast Sales By Regions
5.4. Services Historic and Forecast Sales By Regions

6. GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY DEPLOYMENT MODE

6.1. Overview By Deployment Mode
6.2. Historical and Forecast Data Analysis By Deployment Mode
6.3. Cloud Historic and Forecast Sales By Regions
6.4. On-premises Historic and Forecast Sales By Regions

7. GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY ORGANIZATION SIZE

7.1. Overview By Organization Size
7.2. Historical and Forecast Data Analysis By Organization Size
7.3. Small and Medium-Sized Enterprises Historic and Forecast Sales By Regions
7.4. Large Enterprises Historic and Forecast Sales By Regions

8. GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY BUSINESS FUNCTION

8.1. Overview By Business Function
8.2. Historical and Forecast Data Analysis By Business Function
8.3. Marketing Historic and Forecast Sales By Regions
8.4. Sales Historic and Forecast Sales By Regions
8.5. Logistics Historic and Forecast Sales By Regions
8.6. Finance and Accounting Historic and Forecast Sales By Regions
8.7. Customer Support Historic and Forecast Sales By Regions
8.8. Others Historic and Forecast Sales By Regions

9. GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY VERTICAL

9.1. Overview By Vertical
9.2. Historical and Forecast Data Analysis By Vertical
9.3. BFSI Historic and Forecast Sales By Regions
9.4. Retail and eCommerce Historic and Forecast Sales By Regions
9.5. Telecom and IT Historic and Forecast Sales By Regions
9.6. Media and Entertainment Historic and Forecast Sales By Regions
9.7. Healthcare and Life Sciences Historic and Forecast Sales By Regions
9.8. Government and Defense Historic and Forecast Sales By Regions
9.9. Manufacturing Historic and Forecast Sales By Regions
9.10. Transportation and Logistics Historic and Forecast Sales By Regions
9.11. Energy and Utilities Historic and Forecast Sales By Regions
9.12. Others Historic and Forecast Sales By Regions

10. GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY GEOGRAPHY

10.1. Regional Outlook
10.2. Introduction
10.3. North America Sales Analysis
- 10.3.1 Overview, Historic and Forecast Data Sales Analysis
- 10.3.2 North America By Segment Sales Analysis
- 10.3.3 North America By Country Sales Analysis
- 10.3.4 United States Sales Analysis
- 10.3.5 Canada Sales Analysis
- 10.3.6 Mexico Sales Analysis
10.4. Europe Sales Analysis
- 10.4.1 Overview, Historic and Forecast Data Sales Analysis
- 10.4.2 Europe By Segment Sales Analysis
- 10.4.3 Europe By Country Sales Analysis
- 10.4.4 United Kingdom Sales Analysis
- 10.4.5 France Sales Analysis
- 10.4.6 Germany Sales Analysis
- 10.4.7 Italy Sales Analysis
- 10.4.8 Russia Sales Analysis
- 10.4.9 Rest Of Europe Sales Analysis
10.5. Asia Pacific Sales Analysis
- 10.5.1 Overview, Historic and Forecast Data Sales Analysis
- 10.5.2 Asia Pacific By Segment Sales Analysis
- 10.5.3 Asia Pacific By Country Sales Analysis
- 10.5.4 China Sales Analysis
- 10.5.5 India Sales Analysis
- 10.5.6 Japan Sales Analysis
- 10.5.7 South Korea Sales Analysis
- 10.5.8 Australia Sales Analysis
- 10.5.9 South East Asia Sales Analysis
- 10.5.10 Rest Of Asia Pacific Sales Analysis
10.6. Latin America Sales Analysis
- 10.6.1 Overview, Historic and Forecast Data Sales Analysis
- 10.6.2 Latin America By Segment Sales Analysis
- 10.6.3 Latin America By Country Sales Analysis
- 10.6.4 Brazil Sales Analysis
- 10.6.5 Argentina Sales Analysis
- 10.6.6 Peru Sales Analysis
- 10.6.7 Chile Sales Analysis
- 10.6.8 Rest of Latin America Sales Analysis
10.7. Middle East & Africa Sales Analysis
- 10.7.1 Overview, Historic and Forecast Data Sales Analysis
- 10.7.2 Middle East & Africa By Segment Sales Analysis
- 10.7.3 Middle East & Africa By Country Sales Analysis
- 10.7.4 Saudi Arabia Sales Analysis
- 10.7.5 UAE Sales Analysis
- 10.7.6 Israel Sales Analysis
- 10.7.7 South Africa Sales Analysis
- 10.7.8 Rest Of Middle East And Africa Sales Analysis

11. COMPETITIVE LANDSCAPE OF THE DATA SCIENCE PLATFORM COMPANIES

11.1. Data Science Platform Market Competition
11.2. Partnership/Collaboration/Agreement
11.3. Merger And Acquisitions
11.4. New Product Launch
11.5. Other Developments

12. COMPANY PROFILES OF DATA SCIENCE PLATFORM INDUSTRY

12.1. Top Companies Market Share Analysis
12.2. Market Concentration Rate
12.3. IBM
- 12.3.1 Company Overview
- 12.3.2 Company Revenue
- 12.3.3 Products
- 12.3.4 Recent Developments
12.4. Google
- 12.4.1 Company Overview
- 12.4.2 Company Revenue
- 12.4.3 Products
- 12.4.4 Recent Developments
12.5. Microsoft
- 12.5.1 Company Overview
- 12.5.2 Company Revenue
- 12.5.3 Products
- 12.5.4 Recent Developments
12.6. AWS
- 12.6.1 Company Overview
- 12.6.2 Company Revenue
- 12.6.3 Products
- 12.6.4 Recent Developments
12.7. SAS
- 12.7.1 Company Overview
- 12.7.2 Company Revenue
- 12.7.3 Products
- 12.7.4 Recent Developments
12.8. Snowflake
- 12.8.1 Company Overview
- 12.8.2 Company Revenue
- 12.8.3 Products
- 12.8.4 Recent Developments
12.9. Databricks
- 12.9.1 Company Overview
- 12.9.2 Company Revenue
- 12.9.3 Products
- 12.9.4 Recent Developments
12.10. Cloudera
- 12.10.1 Company Overview
- 12.10.2 Company Revenue
- 12.10.3 Products
- 12.10.4 Recent Developments
12.11. Teradata
- 12.11.1 Company Overview
- 12.11.2 Company Revenue
- 12.11.3 Products
- 12.11.4 Recent Developments
12.12. TIBCO
- 12.12.1 Company Overview
- 12.12.2 Company Revenue
- 12.12.3 Products
- 12.12.4 Recent Developments
12.13. Alteryx
- 12.13.1 Company Overview
- 12.13.2 Company Revenue
- 12.13.3 Products
- 12.13.4 Recent Developments
12.14. H2O.Ai
- 12.14.1 Company Overview
- 12.14.2 Company Revenue
- 12.14.3 Products
- 12.14.4 Recent Developments
12.15. SAP
- 12.15.1 Company Overview
- 12.15.2 Company Revenue
- 12.15.3 Products
- 12.15.4 Recent Developments
12.16. DataRobot
- 12.16.1 Company Overview
- 12.16.2 Company Revenue
- 12.16.3 Products
- 12.16.4 Recent Developments
12.17. Domino Data Lab
- 12.17.1 Company Overview
- 12.17.2 Company Revenue
- 12.17.3 Products
- 12.17.4 Recent Developments