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市场调查报告书

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1732728

全球数据科学平台市场研究报告-产业分析、规模、份额、成长、趋势与预测 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个工作天内

价格

简介目录图表

全球资料科学平台市场规模预计将从 2024 年的 2,073.3 亿美元成长到 2033 年的 19,284.9 亿美元，在 2026 年至 2033 年的预测期内，年复合成长率(CAGR) 将达到 28.12%。

随着企业利用数据驱动的洞察力进行创新并获得竞争优势，数据科学平台市场正在强劲扩张。整合资料准备、模型开发、视觉化和部署的综合平台使资料科学家和分析师能够加速端到端分析生命週期。透过促进协作和自动执行重复性任务，这些平台提高了生产力并缩短了洞察时间，这在快节奏的商业环境中至关重要。

随着组织越来越多地采用人工智慧和机器学习，资料科学平台也在不断发展以支援高级演算法、可扩展计算和即时分析。与云端基础架构和分散式运算框架的整合有助于灵活、有弹性地处理庞大、复杂的资料集。 MLOps 功能的加入增强了模型治理、监控和生命週期管理，确保了持续的准确性和合规性。

此外，这些平台透过直觉的介面、预建演算法和自动化特征工程使资料科学的存取民主化，使业务用户能够为资料计划做出贡献。随着各行各业对操作化人工智慧和资料智慧的需求不断增强，数据科学平台市场将持续成长。

我们的报告经过精心製作，为客户提供有关各个行业和市场的全面且可行的见解。每份报告都包含几个关键部分，以确保彻底了解市场格局：

市场概览：市场的详细介绍，包括定义、分类和行业现状概述。

市场动态：深入分析影响市场成长的关键驱动因素、限制因素、机会与挑战。本节探讨技术进步、监管变化和新兴趋势等因素。

細項分析：根据产品类型、应用、最终用户和地理位置等标准将市场细分为不同的细分市场。该分析强调了每个部分的表现和潜力。

竞争格局：对主要市场参与者的全面评估，包括其市场份额、产品组合、策略倡议和财务表现。本节深入分析了领先公司的竞争动态和采用的关键策略。

市场预测：根据历史资料和当前市场状况，对特定时期内的市场规模和成长趋势进行预测。这包括定量分析和图形表示，以说明未来的市场轨迹。

区域分析：评估不同地理区域的市场表现，确定关键市场和区域趋势。这有助于了解区域市场动态和机会。

新兴趋势与机会：识别当前和新兴的市场趋势、技术创新和潜在投资领域。本节提供了对未来市场发展和成长前景的见解。

简介 - 市场动态
市场驱动因素
市场限制
机会
产业趋势
波特五力分析
市场吸引力分析
- 各组成部分的市场吸引力分析
- 按部署模式进行的市场吸引力分析
- 依组织规模进行市场吸引力分析
- 依业务功能进行市场吸引力分析
- 垂直市场吸引力分析
- 市场吸引力分析：按地区

第四章：价值链分析

价值链分析
原料分析
- 原料清单
- 原料製造商清单
- 主要原物料价格走势
潜在买家名单
行销管道
- 直效行销
- 间接行销
- 行销通路发展趋势

第五章：全球数据科学平台市场分析：按组成部分

按组件概览
按组件进行的历史和预测资料分析
平台
服务

第六章：全球资料科学平台市场分析：依部署模式

依部署模式概述
依部署模式进行历史和预测资料分析
云
本地

第七章：全球资料科学平台市场分析：依组织规模

按组织规模概览
按组织规模进行历史与预测资料分析
中小企业
大型企业

第 8 章：全球资料科学平台市场分析：按业务功能

依业务功能概览
按业务功能进行历史和预测资料分析
行销
销售量
后勤
财会
客户支援
其他的

第九章：全球资料科学平台市场分析：依垂直产业

垂直概览
按垂直行业进行历史和预测数据分析
金融服务业
零售与电子商务
电信和IT
媒体与娱乐
医疗保健和生命科学
政府和国防
製造业
运输和物流
能源和公用事业
其他的

第 10 章：全球资料科学平台市场分析：按地区

区域展望
介绍
北美销售分析
- 概述、历史和预测数据销售分析
- 北美各细分市场销售分析
- 北美各国销售分析
- 美国销售分析
- 加拿大销售分析
- 墨西哥销售分析
欧洲销售分析
- 概述、历史和预测数据销售分析
- 欧洲各细分市场销售分析
- 欧洲各国销售分析
- 英国销售分析
- 法国销售分析
- 德国销售分析
- 义大利销售分析
- 俄罗斯销售分析
- 欧洲其他地区销售分析
亚太地区销售分析
- 概述、历史和预测数据销售分析
- 亚太地区分部销售分析
- 亚太地区国家销售分析
- 中国销售分析
- 印度销售分析
- 日本销售分析
- 韩国销售分析
- 澳洲销售分析
- 东南亚销售分析
- 亚太地区其他地区销售分析
拉丁美洲销售分析
- 概述、历史和预测数据销售分析
- 拉丁美洲各细分市场销售分析
- 拉丁美洲各国销售分析
- 巴西销售分析
- 阿根廷销售分析
- 秘鲁销售分析
- 智利销售分析
- 拉丁美洲其他地区销售分析
中东和非洲销售分析
- 概述、历史和预测数据销售分析
- 中东和非洲分部销售分析
- 中东和非洲国家销售分析
- 沙乌地阿拉伯销售分析
- 阿联酋销售分析
- 以色列销售分析
- 南非销售分析
- 中东和非洲其他地区销售分析

第 11 章：数据科学平台公司的竞争格局

数据科学平台市场竞争
伙伴关係/合作/协议
併购
新产品发布
其他发展

第 12 章：公司简介

顶级公司市占率分析
市场集中度
IBM

公司概况
公司收入
产品
最新动态

Google

公司概况
公司收入
产品
最新动态

Microsoft

公司概况
公司收入
产品
最新动态

公司概况
公司收入
产品
最新动态

公司概况
公司收入
产品
最新动态

Snowflake

公司概况
公司收入
产品
最新动态

Databricks

公司概况
公司收入
产品
最新动态

Cloudera

公司概况
公司收入
产品
最新动态

Teradata

公司概况
公司收入
产品
最新动态

TIBCO

公司概况
公司收入
产品
最新动态

Alteryx

公司概况
公司收入
产品
最新动态

H2O.Ai

公司概况
公司收入
产品
最新动态

公司概况
公司收入
产品
最新动态

DataRobot

公司概况
公司收入
产品
最新动态

Domino Data Lab

公司概况
公司收入
产品
最新动态

注意 - 在公司简介中，财务细节和最新发展取决于可用性，对于私人公司，可能不予涵盖

简介目录图表

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