资料湖市场－全球产业规模、份额、趋势、机会和预测，按组件、部署模式、组织规模、业务职能、产业垂直领域、地区和竞争格局细分，2020-2030 年预测

2024年全球数据湖市场规模为101.8亿美元，预计到2030年将以25.66%的复合年增长率增长至400.8亿美元。资料湖是一种集中式储存库，旨在以其原生格式储存海量原始资料，包括结构化、半结构化和非结构化资料，在进行分析之前无需预先定义模式。这种架构有助于实现高阶分析流程、机器学习和商业智慧。

主要市场驱动因素

主要市场挑战

主要市场趋势

目录

第一章：产品概述

第二章：研究方法

第三章：执行概要

第四章：客户之声

第五章：全球资料湖市场展望

• 市场规模及预测
  • 按价值
• 市占率及预测
  • 按组件（解决方案、服务）
  • 依部署模式（云端、本机部署）
  • 依组织规模（大型企业、中小企业）划分
  • 依业务职能（人力资源、财务、营运、销售、行销）
  • 按行业垂直领域划分（银行、金融服务和保险、IT和电信、零售和电子商务、医​​疗保健和生命科学、製造业、能源和公用事业、媒体和娱乐、政府、其他）
  • 按地区
  • 按公司（2024 年）
• 市场地图

第六章：北美资料湖市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 美国
  • 加拿大
  • 墨西哥

第七章：欧洲资料湖市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太资料湖市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东和非洲资料湖市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿联酋
  • 南非

第十章：南美资料湖市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章：市场动态

• 司机
• 挑战

第十二章：市场趋势与发展

• 併购（如有）
• 产品发布（如有）
• 最新进展

第十三章：全球资料湖市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的潜力
• 供应商议价能力
• 顾客的力量
• 替代产品的威胁

第十五章：竞争格局

• Microsoft Corporation
• Amazon Web Services, Inc.
• Alphabet Inc.
• IBM Corporation
• Snowflake Inc.
• Oracle Corporation
• Teradata Corporation
• Cloudera Inc.
• Domo, Inc.
• Hewlett Packard Enterprise Company

第十六章：策略建议

第17章调查会社について・免责事项

The Global Data Lake Market, valued at USD 10.18 Billion in 2024, is projected to experience a CAGR of 25.66% to reach USD 40.08 Billion by 2030. A data lake is a centralized repository engineered to store vast volumes of raw data in its native format, encompassing structured, semi-structured, and unstructured data, without a predefined schema until it is accessed for analysis. This architecture facilitates advanced analytical processes, machine learning, and business intelligence.

Key Market Drivers

Exponential data volume growth constitutes a primary driver for the global data lake market. Enterprises are continuously generating and accumulating vast, diverse datasets from various sources, including transactional systems, digital interactions, and the rapidly expanding Internet of Things. This immense data influx demands scalable, flexible storage infrastructure capable of accommodating raw, schema-agnostic information. Data lakes fulfill this need by providing a cost-effective repository for data in its native format, postponing schema definition until analysis. According to SOAX, in February 2025, an estimated 147 zettabytes of data were created, captured, copied, or consumed in 2024, highlighting the persistent exponential growth overwhelming conventional data management systems.

Key Market Challenges

Inadequate data governance presents a substantial impediment to the growth of the global data lake market. Without robust frameworks, data lakes often devolve into "data swamps" where the integrity and usability of stored information diminish significantly. This environment is characterized by deteriorating data quality, missing metadata, and a pervasive difficulty in locating or trusting data assets. Consequently, the core analytical value that data lakes are designed to provide is undermined, leading to increased operational risks and a reduced return on investment for data initiatives.

Key Market Trends

The shift towards lakehouse architectural adoption is a pivotal trend, integrating the flexibility and cost-effectiveness of data lakes with the robust data management features of data warehouses. This hybrid architecture provides transactional consistency and schema enforcement, enabling more reliable analytics and machine learning directly on raw data. According to Dremio's "The State of the Data Lakehouse, 2024" survey, published in November 2023, 65% of enterprise IT and data professionals were already running a majority of their analytics on lakehouses, citing cost efficiency and ease of use as primary motivations. This demonstrates a clear market movement away from siloed data environments, establishing a unified platform for diverse workloads.

Key Market Players

• Microsoft Corporation
• Amazon Web Services, Inc.
• Alphabet Inc.
• IBM Corporation
• Snowflake Inc.
• Oracle Corporation
• Teradata Corporation
• Cloudera Inc.
• Domo, Inc.
• Hewlett Packard Enterprise Company

Report Scope:

In this report, the Global Data Lake Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Data Lake Market, By Component:

• Solutions
• Services

Data Lake Market, By Deployment Mode:

• Cloud
• On-Premises

Data Lake Market, By Organization Size:

• Large Enterprises
• Small Medium-Sized Enterprises (SMEs)

Data Lake Market, By Business Function:

• Human Resources
• Finance
• Operations
• Sales
• Marketing

Data Lake Market, By Industry Vertical:

• BFSI
• IT & Telecom
• Retail & Ecommerce
• Healthcare & Life Science
• Manufacturing
• Energy & Utilities
• Media & Entertainment
• Government
• Others

Data Lake Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea

Competitive Landscape

Company Profiles: Detailed analysis of the major companies presents in the Global Data Lake Market.

Available Customizations:

Global Data Lake Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Data Lake Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Component (Solutions, Services)
  • 5.2.2. By Deployment Mode (Cloud, On-Premises)
  • 5.2.3. By Organization Size (Large Enterprises, Small Medium-Sized Enterprises (SMEs))
  • 5.2.4. By Business Function (Human Resources, Finance, Operations, Sales, Marketing)
  • 5.2.5. By Industry Vertical (BFSI, IT & Telecom, Retail & Ecommerce, Healthcare & Life Science, Manufacturing, Energy & Utilities, Media & Entertainment, Government, Others)
  • 5.2.6. By Region
  • 5.2.7. By Company (2024)
• 5.3. Market Map

6. North America Data Lake Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Component
  • 6.2.2. By Deployment Mode
  • 6.2.3. By Organization Size
  • 6.2.4. By Business Function
  • 6.2.5. By Industry Vertical
  • 6.2.6. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Data Lake Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Component
      • 6.3.1.2.2. By Deployment Mode
      • 6.3.1.2.3. By Organization Size
      • 6.3.1.2.4. By Business Function
      • 6.3.1.2.5. By Industry Vertical
  • 6.3.2. Canada Data Lake Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Component
      • 6.3.2.2.2. By Deployment Mode
      • 6.3.2.2.3. By Organization Size
      • 6.3.2.2.4. By Business Function
      • 6.3.2.2.5. By Industry Vertical
  • 6.3.3. Mexico Data Lake Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Component
      • 6.3.3.2.2. By Deployment Mode
      • 6.3.3.2.3. By Organization Size
      • 6.3.3.2.4. By Business Function
      • 6.3.3.2.5. By Industry Vertical

7. Europe Data Lake Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Component
  • 7.2.2. By Deployment Mode
  • 7.2.3. By Organization Size
  • 7.2.4. By Business Function
  • 7.2.5. By Industry Vertical
  • 7.2.6. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Data Lake Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Component
      • 7.3.1.2.2. By Deployment Mode
      • 7.3.1.2.3. By Organization Size
      • 7.3.1.2.4. By Business Function
      • 7.3.1.2.5. By Industry Vertical
  • 7.3.2. France Data Lake Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Component
      • 7.3.2.2.2. By Deployment Mode
      • 7.3.2.2.3. By Organization Size
      • 7.3.2.2.4. By Business Function
      • 7.3.2.2.5. By Industry Vertical
  • 7.3.3. United Kingdom Data Lake Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Component
      • 7.3.3.2.2. By Deployment Mode
      • 7.3.3.2.3. By Organization Size
      • 7.3.3.2.4. By Business Function
      • 7.3.3.2.5. By Industry Vertical
  • 7.3.4. Italy Data Lake Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Component
      • 7.3.4.2.2. By Deployment Mode
      • 7.3.4.2.3. By Organization Size
      • 7.3.4.2.4. By Business Function
      • 7.3.4.2.5. By Industry Vertical
  • 7.3.5. Spain Data Lake Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Component
      • 7.3.5.2.2. By Deployment Mode
      • 7.3.5.2.3. By Organization Size
      • 7.3.5.2.4. By Business Function
      • 7.3.5.2.5. By Industry Vertical

8. Asia Pacific Data Lake Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Component
  • 8.2.2. By Deployment Mode
  • 8.2.3. By Organization Size
  • 8.2.4. By Business Function
  • 8.2.5. By Industry Vertical
  • 8.2.6. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Data Lake Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Component
      • 8.3.1.2.2. By Deployment Mode
      • 8.3.1.2.3. By Organization Size
      • 8.3.1.2.4. By Business Function
      • 8.3.1.2.5. By Industry Vertical
  • 8.3.2. India Data Lake Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Component
      • 8.3.2.2.2. By Deployment Mode
      • 8.3.2.2.3. By Organization Size
      • 8.3.2.2.4. By Business Function
      • 8.3.2.2.5. By Industry Vertical
  • 8.3.3. Japan Data Lake Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Component
      • 8.3.3.2.2. By Deployment Mode
      • 8.3.3.2.3. By Organization Size
      • 8.3.3.2.4. By Business Function
      • 8.3.3.2.5. By Industry Vertical
  • 8.3.4. South Korea Data Lake Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Component
      • 8.3.4.2.2. By Deployment Mode
      • 8.3.4.2.3. By Organization Size
      • 8.3.4.2.4. By Business Function
      • 8.3.4.2.5. By Industry Vertical
  • 8.3.5. Australia Data Lake Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Component
      • 8.3.5.2.2. By Deployment Mode
      • 8.3.5.2.3. By Organization Size
      • 8.3.5.2.4. By Business Function
      • 8.3.5.2.5. By Industry Vertical

9. Middle East & Africa Data Lake Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Component
  • 9.2.2. By Deployment Mode
  • 9.2.3. By Organization Size
  • 9.2.4. By Business Function
  • 9.2.5. By Industry Vertical
  • 9.2.6. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Data Lake Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Component
      • 9.3.1.2.2. By Deployment Mode
      • 9.3.1.2.3. By Organization Size
      • 9.3.1.2.4. By Business Function
      • 9.3.1.2.5. By Industry Vertical
  • 9.3.2. UAE Data Lake Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Component
      • 9.3.2.2.2. By Deployment Mode
      • 9.3.2.2.3. By Organization Size
      • 9.3.2.2.4. By Business Function
      • 9.3.2.2.5. By Industry Vertical
  • 9.3.3. South Africa Data Lake Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Component
      • 9.3.3.2.2. By Deployment Mode
      • 9.3.3.2.3. By Organization Size
      • 9.3.3.2.4. By Business Function
      • 9.3.3.2.5. By Industry Vertical

10. South America Data Lake Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Component
  • 10.2.2. By Deployment Mode
  • 10.2.3. By Organization Size
  • 10.2.4. By Business Function
  • 10.2.5. By Industry Vertical
  • 10.2.6. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Data Lake Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Component
      • 10.3.1.2.2. By Deployment Mode
      • 10.3.1.2.3. By Organization Size
      • 10.3.1.2.4. By Business Function
      • 10.3.1.2.5. By Industry Vertical
  • 10.3.2. Colombia Data Lake Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Component
      • 10.3.2.2.2. By Deployment Mode
      • 10.3.2.2.3. By Organization Size
      • 10.3.2.2.4. By Business Function
      • 10.3.2.2.5. By Industry Vertical
  • 10.3.3. Argentina Data Lake Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Component
      • 10.3.3.2.2. By Deployment Mode
      • 10.3.3.2.3. By Organization Size
      • 10.3.3.2.4. By Business Function
      • 10.3.3.2.5. By Industry Vertical

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global Data Lake Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. Microsoft Corporation
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. Amazon Web Services, Inc.
• 15.3. Alphabet Inc.
• 15.4. IBM Corporation
• 15.5. Snowflake Inc.
• 15.6. Oracle Corporation
• 15.7. Teradata Corporation
• 15.8. Cloudera Inc.
• 15.9. Domo, Inc.
• 15.10. Hewlett Packard Enterprise Company

16. Strategic Recommendations

17. About Us & Disclaimer