데이터 레이크 시장 : 세계 산업 규모, 점유율, 동향, 기회, 예측 - 구성요소별, 도입 모드별, 조직 규모별, 업무 기능별, 업계별, 지역별, 경쟁별(2020-2030년)
Data Lake Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Deployment Mode, By Organization Size, By Business Function, By Industry Vertical, By Region, and By Competition, 2020-2030F
상품코드:1881445
리서치사:TechSci Research
발행일:2025년 11월
페이지 정보:영문 185 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
세계의 데이터 레이크 시장은 2024년에 101억 8,000만 달러로 평가되었으며, 2030년까지 CAGR 25.66%로 성장하여 400억 8,000만 달러에 달할 것으로 예측됩니다.
데이터 레이크는 구조화된 데이터, 반구조화된 데이터, 비정형 데이터를 포함한 방대한 양의 원시 데이터를 분석을 위해 접근할 때까지 사전 정의된 스키마 없이 네이티브 형태로 저장하도록 설계된 중앙 집중식 저장소입니다. 이 아키텍처는 고급 분석 프로세스, 머신러닝, 비즈니스 인텔리전스를 가능하게 합니다.
시장 개요
예측 기간
2026-2030년
시장 규모 : 2024년
101억 8,000만 달러
시장 규모 : 2030년
400억 8,000만 달러
CAGR : 2025-2030년
25.66%
가장 빠르게 성장하는 부문
IT·통신
최대 시장
북미
주요 시장 촉진요인
데이터 양의 급격한 증가는 세계 데이터 레이크 시장의 주요 촉진요인으로 작용하고 있습니다. 기업은 트랜잭션 시스템, 디지털 상호 작용, 빠르게 확장되고 있는 사물인터넷(IoT) 등 다양한 소스에서 방대하고 다양한 데이터세트를 지속적으로 생성하고 축적하고 있습니다.
주요 시장 과제
불충분한 데이터 거버넌스는 세계 데이터 레이크 시장의 성장에 큰 걸림돌이 되고 있습니다. 강력한 프레임워크가 없으면 데이터 레이크는 종종 '데이터 늪'으로 변질되어 저장된 정보의 무결성과 유용성이 현저히 떨어집니다.
주요 시장 동향
레이크하우스 아키텍처로의 전환은 데이터 레이크의 유연성과 비용 효율성에 데이터 웨어하우스의 강력한 데이터 관리 기능을 통합하는 중요한 추세입니다. 이 하이브리드 아키텍처는 트랜잭션 일관성과 스키마 강제성을 제공하며, 원시 데이터에 직접적으로 보다 신뢰할 수 있는 분석과 머신러닝을 가능하게 합니다.
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.
Market Overview
Forecast Period
2026-2030
Market Size 2024
USD 10.18 Billion
Market Size 2030
USD 40.08 Billion
CAGR 2025-2030
25.66%
Fastest Growing Segment
IT & Telecom
Largest Market
North America
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)
