시장보고서 | 연간정보서비스 | 맞춤형시장조사 | 메일링 | 샘플 요청 목록
데이터 레이크 시장 규모, 점유율, 성장 분석 : 컴포넌트별, 배포 모드별, 조직 규모별, 업무 기능별, 업계별, 지역별 - 산업 예측(2025-2032년)
Data Lake Market Size, Share, and Growth Analysis, By Component (Solutions, Services), By Deployment Mode (On-Premises, Cloud), By Organization Size, By Business Function, By Industry Vertical, By Region - Industry Forecast 2025-2032
상품코드 : 1677914
리서치사 : SkyQuest
발행일 : 2025년 03월
페이지 정보 : 영문 196 Pages
 라이선스 & 가격 (부가세 별도)
US $ 5,300 ￦ 7,636,000
PDF & Excel (Single User License) help
PDF 및 Excel 보고서를 1명만 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.
US $ 6,200 ￦ 8,932,000
PDF & Excel (Multiple User License) help
PDF 및 Excel 보고서를 동일 사업장에서 2-5명까지 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.
US $ 7,100 ￦ 10,229,000
PDF & Excel (Enterprise License) help
PDF 및 Excel 보고서를 동일 기업의 모든 분이 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.


한글목차

세계의 데이터 레이크 시장 규모는 2023년에 156억 2,000만 달러로 평가되며, 2024년 196억 5,000만 달러에서 2032년에는 1,232억 6,000만 달러로 성장하며, 예측 기간(2025-2032년)의 CAGR은 25.8%로 성장할 전망입니다.

빅데이터와 고급 분석 솔루션의 영향력이 커지면서 조직이 다양한 데이터 유형을 효과적으로 관리하기 위해 노력함에 따라 데이터 레이크 시장이 크게 성장하고 있습니다. 방대한 양의 실시간 데이터를 생성하는 IoT 기기의 등장으로 성능 저하 없이 효율적으로 데이터를 처리할 수 있는 데이터 레이크에 대한 수요가 급증하고 있습니다. 또한 AI와 머신러닝이 데이터 분석에 필수적인 요소로 떠오르면서 데이터 레이크는 이러한 모델 학습에 필요한 방대한 양의 데이터를 저장하고 처리하는 데 필수적인 인프라를 제공합니다. 그 결과, 예측 정확도가 향상되고 개인화된 추천이 가능해집니다. 또한 Apache Kafka 및 Amazon Kinesis와 같은 실시간 처리 기술을 통합하여 기업은 적시에 데이터베이스 의사결정을 내릴 수 있습니다. 특히 ANZ나 State Bank of India와 같은 은행들은 분석 역량을 중앙 집중화하고 최적화하기 위해 데이터 레이크에 투자하고 있습니다.

목차

서론

조사 방법

개요

시장 역학과 전망

주요 시장 인사이트

데이터 레이크 시장 규모 : 컴포넌트별 & CAGR(2025-2032)

데이터 레이크 시장 규모 : 배포 모드별 & CAGR(2025-2032)

데이터 레이크 시장 규모 : 조직 규모별 & CAGR(2025-2032)

데이터 레이크 시장 규모 : 업무 기능별 & CAGR(2025-2032)

데이터 레이크 시장 규모 : 업계별 & CAGR(2025-2032)

데이터 레이크 시장 규모 : 지역별 & CAGR(2025-2032)

경쟁 정보

주요 기업 개요

결론과 제안

KSA
영문 목차

영문목차

Global Data Lake Market size was valued at USD 15.62 billion in 2023 and is poised to grow from USD 19.65 billion in 2024 to USD 123.26 billion by 2032, growing at a CAGR of 25.8% during the forecast period (2025-2032).

The growing influence of big data and advanced analytics solutions has significantly boosted the data lakes market as organizations strive to effectively manage diverse data types. With the emergence of IoT devices generating vast quantities of real-time data, the demand for data lakes-capable of efficiently handling this influx without sacrificing performance-has surged. Furthermore, as AI and machine learning become crucial for data analytics, data lakes provide essential infrastructure for storing and processing the extensive data needed to train these models. This results in enhanced predictive accuracy and personalized recommendations. Additionally, the integration of real-time processing technologies, such as Apache Kafka and Amazon Kinesis, empowers organizations to make timely, data-driven decisions. Notably, banks like ANZ and State Bank of India are investing in data lakes to centralize and optimize their analytical capabilities.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Data Lake market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Data Lake Market Segments Analysis

Global Data Lake Market is segmented by Component, Deployment Mode, Organization Size, Business Function, Industry Vertical and region. Based on Component, the market is segmented into Solutions and Services. Based on Deployment Mode, the market is segmented into On-Premises and Cloud. Based on Organization Size, the market is segmented into Large Enterprises and Small And Medium-Sized Enterprises (SMEs). Based on Business Function, the market is segmented into Marketing, Sales, Operations, Finance and Human Resources. Based on Industry Vertical, the market is segmented into BFSI, Telecommunication And Information Technology (IT), Retail And Ecommerce, Healthcare And Life Sciences, Manufacturing, Energy And Utilities, Media And Entertainment, Government and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Data Lake Market

The Global Data Lake market is being significantly propelled by substantial investments from large enterprises in centralized data security solutions. The shift towards cloud-based data platforms is gaining momentum as organizations seek to combat data theft and enhance cybersecurity measures, thereby fueling market expansion. Furthermore, with the tightening of data privacy regulations worldwide, companies face an urgent need to safeguard the personal information they collect. This regulatory landscape has intensified the demand for robust security solutions that enable organizations to meet compliance requirements while efficiently managing their data assets, contributing to the overall growth of the Data Lake market.

Restraints in the Global Data Lake Market

The Global Data Lake market faces several restraints that could hinder its growth. One significant challenge is the high expense associated with implementing data storage solutions, which can be particularly burdensome for smaller organizations with limited budgets. These financial constraints can restrict their ability to invest in necessary technologies. Furthermore, the escalating costs linked to the ingestion, storage, processing, and analysis of data can quickly strain a company's finances. Additional factors such as prolonged onboarding processes, expensive data maintenance, and the intricate nature of managing legacy data also contribute to the obstacles impeding the market's expansion.

Market Trends of the Global Data Lake Market

The Global Data Lake market is experiencing a significant trend towards the adoption of cloud-based solutions as enterprises increasingly seek scalable, cost-effective options for data management. This shift is driven by the growing capabilities of cloud service providers, who are offering advanced, user-friendly platforms that streamline the deployment and management of data lakes. Cloud implementation minimizes infrastructure burdens, enabling organizations to focus on leveraging data for strategic insights while benefiting from enhanced storage and computing efficiencies. As businesses prioritize digital transformation, the demand for cloud-enabled data lakes is expected to surge, reshaping the landscape of data analytics and business intelligence across various sectors.

Table of Contents

Introduction

Research Methodology

Executive Summary

Market Dynamics & Outlook

Key Market Insights

Global Data Lake Market Size by Component & CAGR (2025-2032)

Global Data Lake Market Size by Deployment Mode & CAGR (2025-2032)

Global Data Lake Market Size by Organization Size & CAGR (2025-2032)

Global Data Lake Market Size by Business Function & CAGR (2025-2032)

Global Data Lake Market Size by Industry Vertical & CAGR (2025-2032)

Global Data Lake Market Size & CAGR (2025-2032)

Competitive Intelligence

Key Company Profiles

Conclusion & Recommendations

(주)글로벌인포메이션 02-2025-2992 kr-info@giikorea.co.kr
ⓒ Copyright Global Information, Inc. All rights reserved.
PC버전 보기