세계의 데이터 웨어하우스 시장 : 시장 규모(제공 내용 유형별, 전개 방식별, 데이터 유형별, 최종사용자 산업별, 지역별), 예측

Global Data Warehouse Market Size By Offering Type, By Deployment Mode, By Data Type, By End-User Industry, By Geographic Scope And Forecast

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한글목차

데이터 웨어하우스 시장 규모 및 전망

데이터 웨어하우스 시장 규모는 2024년에 276억 8,000만 달러로 평가되었고, 2026-2032년 연평균 11% 성장하여 2032년에는 639억 달러에 달할 것으로 예측됩니다.

• 데이터 웨어하우스는 다양한 소스로부터 방대한 양의 정형 및 비정형 데이터를 저장, 관리, 분석하여 비즈니스 인텔리전스(BI) 작업을 촉진하는 중앙 집중식 저장소입니다. 데이터 웨어하우스는 기업이 과거와 현재의 데이터를 결합하여 의미 있는 인사이트를 얻기 위한 신속한 쿼리 및 보고를 가능하게 합니다. 데이터 웨어하우스는 데이터 분석을 위한 '단일 진실의 원천'을 제공함으로써 의사결정 과정을 지원합니다.
• 데이터 웨어하우스는 일반적으로 성과 관리, 시장 조사, 고객 분석, 업무 분석에 사용되며, 전략적 의사 결정과 전반적인 비즈니스 성과 향상을 목표로 합니다.

데이터 웨어하우스 세계 시장 역학

데이터 웨어하우스 시장을 형성하는 주요 시장 역학은 다음과 같습니다.

주요 시장 성장 촉진요인:

• 산업별 데이터 생성량 증가: 데이터 생성량의 급격한 증가로 인해 강력한 데이터 웨어하우스 솔루션에 대한 수요가 증가하고 있으며, International Data Corporation(IDC)에 따르면, 전 세계 데이터 영역은 2018년 33제타바이트에서 2025년 175제타바이트로 증가할 것으로 예측됩니다.에서 2025년에는 175제타바이트까지 증가할 것으로 예측됩니다. 이러한 엄청난 데이터 양 증가로 인해 효율적인 저장, 관리, 분석을 위한 고도화된 데이터 웨어하우스 기능이 요구되고 있습니다.
• 클라우드 기반 데이터 웨어하우스 도입 확대: 클라우드 기반 솔루션으로의 전환은 데이터 웨어하우스 시장의 중요한 촉진요인으로, 2022년까지 전체 데이터베이스의 75%가 클라우드 플랫폼으로 도입 또는 전환될 것으로 예측됩니다. 이러한 추세는 클라우드 기반 데이터 웨어하우스의 확장성, 유연성, 비용 효율성에 기인하며, 시장 성장을 강화하는 요인으로 작용하고 있습니다.
• 실시간 분석과 비즈니스 인텔리전스에 대한 수요 증가: 최신 정보에 기반한 신속한 의사결정에 대한 수요가 데이터 웨어하우스 시장을 주도하고 있습니다. 조사에 따르면, 유명 기업의 91.9%가 빅데이터와 인공지능에 대한 투자를 확대하고 있는 것으로 나타났습니다. 데이터 웨어하우스는 실시간 분석과 비즈니스 인텔리전스를 실현하는 데 필수적이며, 기업은 데이터에서 관련 인사이트를 빠르고 효율적으로 도출할 수 있습니다.

주요 과제

• 데이터 품질: 데이터 웨어하우스에서 고품질의 데이터를 유지하는 것은 신뢰할 수 있는 분석과 의사결정에 필수적입니다. 그러나 많은 소스의 데이터에는 불일치, 부정확성, 중복이 포함되어 있어 정확성을 떨어뜨릴 수 있습니다. 데이터 입력 및 처리 과정에서 발생하는 수작업으로 인한 오류는 이러한 문제를 더욱 악화시킬 수 있습니다. 웨어하우스에서 얻은 인사이트의 신뢰성을 높이기 위해 기업은 강력한 데이터 정화 및 검증 프로세스를 도입해야 합니다.
• 확장성: 확장성은 많은 기존 데이터 웨어하우스의 핵심 과제입니다. 비즈니스가 성장하고 데이터 요구사항이 변화함에 따라 효율적으로 확장할 수 있는 능력이 필수적입니다. 기존 아키텍처는 경직된 프레임워크로 인해 변경 사항을 신속하게 적용하기 어렵기 때문에 빠른 확장성에 어려움을 겪고 있습니다. 이러한 유연성 부족은 성능의 병목현상을 유발하고, 새로운 비즈니스 요구와 비즈니스 기회에 대한 기업의 신속한 대응 능력을 저해합니다.

주요 동향 :

• DwaaS(Data Warehouse as a Service) : DWaaS(Data Warehouse as a Service)는 데이터 웨어하우스 시장의 잘 알려진 트렌드입니다. 이 전략을 통해 기업은 대규모 On-Premise 인프라 없이도 유연성과 확장성을 갖춘 클라우드 기반 데이터 웨어하우스 시스템을 이용할 수 있습니다. 기업이 데이터 기반 의사결정에 의존하게 됨에 따라 효과적인 데이터 관리 및 분석 기능에 대한 수요로 인해 DWaaS 시장은 빠르게 성장할 것으로 예측됩니다.
• 그린 데이터 웨어하우스: 친환경에 대한 관심이 높아지면서 그린 데이터 웨어하우스로의 전환이 가속화되고 있습니다. 기업들은 에너지 효율이 높은 클라우드 기반 솔루션을 사용함으로써 탄소 배출량을 크게 줄일 수 있습니다. 이러한 추세는 지속가능성을 촉진할 뿐만 아니라 에너지 사용량을 줄임으로써 비용을 절감할 수 있습니다. 기업들이 친환경적인 관행을 추진함에 따라 그린 데이터 웨어하우스는 향후 데이터 관리 계획에서 중요한 역할을 할 것으로 예측됩니다.

목차

제1장 세계의 데이터 웨어하우스 시장 : 서론

• 시장 서론
• 분석 범위
• 전제조건

제2장 주요 요약

제3장 VERIFIED MARKET RESEARCH의 분석 방법

• 데이터 마이닝
• 밸리데이션
• 1차 자료
• 데이터 소스 리스트

제4장 세계의 데이터 웨어하우스 시장 전망

• 개요
• 시장 역학
  • 성장 촉진요인
  • 성장 억제요인
  • 기회
• Porter's Five Forces 모델
• 밸류체인 분석

제5장 세계의 데이터 웨어하우스 시장 : 제공 내용 유형별

• 개요
• ETL 솔루션
• 데이터 마이닝
• 통계 분석
• 기타

제6장 세계의 데이터 웨어하우스 시장 : 데이터 유형별

• 개요
• 비구조화 데이터
• 반구조화 데이터
• 구조화 데이터

제7장 세계의 데이터 웨어하우스 시장 : 최종사용자 산업별

• 개요
• 은행, 금융서비스 및 보험(BFSI)
• 의료
• IT 및 통신
• 소매
• 제조업
• 정부기관
• 미디어 및 엔터테인먼트
• 기타

제8장 데이터 웨어하우스 세계 시장, 제공 방식별

• 개요
• 클라우드
• On-Premise
• 하이브리드

제9장 세계의 데이터 웨어하우스 시장 : 지역별

• 개요
• 북미
  • 미국
  • 캐나다
  • 멕시코
• 유럽
  • 독일
  • 영국
  • 프랑스
  • 기타 유럽
• 아시아태평양
  • 중국
  • 일본
  • 인도
  • 기타 아시아태평양
• 세계 기타 지역
  • 라틴아메리카
  • 중동 및 아프리카

제10장 세계의 데이터 웨어하우스 시장 경쟁 구도

• 개요
• 기업의 시장 순위
• 주요 발전 전략

제11장 기업 개요

• Microsoft Corporation
• Micro Focus International PLC
• IBM Corporation
• Pivotal Software Inc.
• Amazon Web Services Inc.
• Oracle Corporation
• Cloudera Inc
• SAP AG
• Google LLP
• Teradata Corporation

제12장 부록

• 관련 분석

LSH

영문 목차

영문목차

Data Warehouse Market Size And Forecast

Data Warehouse Market size was valued at USD 27.68 Billion in 2024 and is projected to reach USD 63.9 Billion by 2032, growing at a CAGR of 11% from 2026 to 2032.

• A data warehouse is a centralized repository that stores, manages, and analyzes huge amounts of structured and unstructured data from diverse sources, facilitating business intelligence (BI) tasks. It lets enterprises combine historical and present data, enabling rapid querying and reporting to generate meaningful insights. Data warehouses aid decision-making processes by offering a "single source of truth" for data analysis, which is critical for detecting trends, patterns, and linkages throughout time.
• Data warehouses are commonly used for performance management, market research, customer analysis, and operational analytics, aiming to improve strategic decision-making and overall business performance.

Global Data Warehouse Market Dynamics

The key market dynamics that are shaping the Data Warehouse Market include:

Key Market Drivers:

• Increasing Volume of Data Generated across Industries: The exponential expansion of data generation is increasing the demand for robust data warehouse solutions. According to the International Data Corporation (IDC), the global datasphere is expected to increase from 33 zettabytes in 2018 to 175 zettabytes by 2025. This tremendous rise in data volume demands sophisticated data warehousing capabilities to ensure efficient storage, administration, and analysis.
• Growing Adoption of Cloud-based Data Warehousing: The shift to cloud-based solutions is a significant driver of the Data Warehouse Market. By 2022, 75% of all databases will have been deployed or migrated to the cloud platform. This trend is driven by the scalability, flexibility, and cost-effectiveness of cloud-based data warehouses, resulting in enhanced market growth.
• Rising Demand for Real-time Analytics and Business Intelligence: The demand for speedier decision-making based on current information is driving the Data Warehouse Market ahead. According to survey, 91.9% of prominent organizations are expanding their investments in big data and artificial intelligence. Data warehouses are critical in enabling real-time analytics and business intelligence, allowing firms to extract relevant insights from their data quickly and efficiently.

Key Challenges:

• Data Quality: Maintaining high-quality data in a data warehouse is critical to reliable analysis and decision-making. However, data from many sources may contain discrepancies, inaccuracies, or duplications that jeopardize its accuracy. Manual errors during data entry or processing compound these problems. To enhance the reliability of insights derived from the warehouse, businesses must employ strong data cleansing and validation processes.
• Scalability: Scalability presents a significant challenge for many traditional data warehouses. As businesses expand and their data requirements change, the ability to scale efficiently becomes vital. Traditional architectures suffer from rapid scalability because their rigid frameworks make it difficult to apply changes quickly. This inflexibility causes performance bottlenecks and impairs firms' capacity to respond quickly to new business needs or opportunities.

Key Trends:

• Data Warehouse as a Service (DWaaS): Data Warehouse as a Service (DWaaS) is a well-known trend in the Data Warehouse Market. This strategy enables enterprises to use cloud-based data warehousing systems, which offer flexibility and scalability without the need for extensive on-premises infrastructure. As businesses rely more on data-driven decision-making, the DWaaS market is expected to develop rapidly, owing to the demand for effective data management and analytics capabilities.
• Green Data Warehousing: The shift to green data warehousing is also gaining pace as firms grow more ecologically concerned. Companies may significantly reduce their carbon footprint by using cloud-based solutions that are more energy efficient. This trend not only promotes sustainability but also saves money by reducing energy use. As companies promote eco-friendly practices, green data warehousing is projected to play a critical part in future data management plans.

Global Data Warehouse Market Regional Analysis

Here is a more detailed regional analysis of the Data Warehouse Market:

North America:

• According to Verified Market Research, North America is estimated to dominate the market during the forecast period. North America dominates technical innovation and acceptance, notably in data management systems. According to the US Bureau of Economic Analysis, the digital economy accounted for 9.6% of US GDP in 2019, increasing at an average annual rate of 6.8% between 2006 and 2019. This robust digital ecosystem increases the requirement for sophisticated data warehouse systems to handle and analyze the massive amounts of data generated.
• Furthermore, North America, particularly the United States, has imposed stringent data protection and privacy legislation. The California Consumer Privacy Act (CCPA), which went into effect in 2020, affects over 500,000 businesses in the United States alone, according to the International Association of Privacy Professionals. Such rules necessitate strong data management and governance solutions, which raises the demand for complete data warehouse platforms that ensure compliance and security.

Asia Pacific:

• The Asia Pacific region is estimated to exhibit the highest growth within the market during the forecast period. The Asia Pacific region is undergoing rapid digital change, which necessitates the implementation of robust data management systems. According to IDC, Asia Pacific (excluding Japan) spending on digital transformation is expected to exceed USD 1.2 Trillion by 2023, expanding at a CAGR of 17.4% between 2020 and 2023. This fast digitalization across sectors is driving up demand for powerful data warehouse solutions to handle the growing volume and complexity of data.
• Furthermore, many Asian governments are implementing data-driven governance efforts, resulting in increased demand for data warehouse solutions. For example, India's Digital India initiative seeks to turn the country into a digitally enabled society and knowledge economy. The program has resulted in a 56-fold rise in electronic transactions for government services, from 840 million in 2013 to 47 billion in 2021, according to the Ministry of Electronics and Information Technology. Such government-led digital initiatives across the region are driving the expansion of the Data Warehouse Market, which supports data-driven decision-making and public service delivery.

Data Warehouse Market: Segmentation Analysis

The Data Warehouse Market is Segmented based on Offering Type, Deployment Mode, Data Type, End-User Industry, and Geography.

Data Warehouse Market, By Offering Type

• ETL Solutions
• Statistical Analysis
• Data Mining
• Others

Based on Offering Type, the market is segmented into ETL Solutions, Statistical Analysis, Data Mining, and Others. The ETL (Extract, Transform, Load) solutions segment is estimated to dominate the Data Warehouse Market due to its crucial role in data integration and management. Organizations are increasingly relying on ETL solutions to rapidly extract data from several sources, convert it to a standard format, and load it into a centralized data warehouse. As businesses generate massive amounts of data, the need for powerful ETL capabilities fuels market growth and innovation in this segment.

Data Warehouse Market, By Deployment Mode

• Cloud
• On-Premises
• Hybrid

Based on Deployment Mode, the Data Warehouse Market is segmented into Cloud, On-Premises, and Hybrid. The cloud segment is estimated to dominate the market over the forecast period due to the increased usage of cloud technologies, which provide greater scalability, flexibility, and cost-effectiveness than traditional on-premises systems. Organizations prefer cloud data warehouses because of their low maintenance requirements and the ability to readily access and analyze vast amounts of data over the Internet. As businesses embrace digital transformation, the demand for cloud-based solutions is projected to rise even more.

Data Warehouse Market, By Data Type

• Unstructured Data
• Semi-Structured Data
• Structured Data

Based on Data Type, the market is divided into Unstructured Data, Semi-Structured Data, and Structured Data. The unstructured data segment is estimated to dominate the global market due to the exponential development of unstructured data generated by a variety of sources, including social media, emails, and multimedia material. Organizations are increasingly seeing the benefit of studying unstructured data to acquire insights and improve decision-making processes. As a result, the need for solutions that properly manage and analyze unstructured data continues to grow, cementing the segment's market leadership.

Data Warehouse Market, By End-User Industry

• Banking, Financial Services and Insurance (BFSI)
• Healthcare
• IT and Telecom
• Retail
• Manufacturing
• Government
• Media and Entertainment
• Others

Based on the End-User Industry, the market is segmented into Banking, Financial Services and Insurance (BFSI), Healthcare, IT & Telecom, Retail, Manufacturing, Government, Media & Entertainment, and Others. The banking, financial services, & insurance (BFSI) segment is estimated to lead this segment in the forecast period due to the industry's vital requirement for strong data management and analytics to improve decision-making, risk assessment, and regulatory compliance. BFSI companies utilize data warehouses to analyze massive volumes of transactional data, detect fraud, and increase customer insights, allowing them to react rapidly to market developments and client needs. As a result, this industry is likely to maintain its growth rate in the next years.

Key Players

• The "Data Warehouse Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are IBM Corporation, Google LLP, SAP SE, Cloudera, Inc., Pivotal Software, Inc., Teradata Corporation, Amazon Web Services, Inc., Microsoft Corporation, Oracle Corporation, Micro Focus International PLC, Snowflake Computing, Inc., Veeva Systems, Inc., and Yellowbrick B.V.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

• Data Warehouse Market Recent Developments
• In August 2023, FUJIFILM Corporation and IBM announced the development of a 50TB native tape system. For use with IBM's newest enterprise tape drive, the TS1170, Fujifilm has started producing a high-density tape cartridge. Higher data storage capacity is made possible by a newly developed technology included in the IBM 3592 JF tape cartridge, which is the sixth generation. This technology uses fine hybrid magnetic particles.
• In October 2023, IBM introduced the new IBM Storage Scale System 6000, the new IBM Storage Scale System 6000 seeks to build on IBM's leadership position with an enhanced high-performance parallel file system designed for data-intensive use-cases. It provides up to 7M IOPs and up to 256GB/s throughput for read only workloads per system in a 4U (four rack units) footprint.
• In January 2023, a Data & Growth Intelligence company, established a collaboration with Data Bricks to allow its Fortune 500 clients to use the Lakehouse Platform. The company's Lakehouse platform, which combines several data warehouse and data lake characteristics, offers a single solution for all major data jobs.
• In June 2022, HCL Technologies partnered with Amazon Web Services. AWS allows HCL to offer scalable, cost-effective, secure, and high-performing enterprise data warehouse solutions. Amazon Redshift provides data-driven business insights enabled by modern AI/ML capabilities to improve operational efficiency, decision-making, and faster time to market to HCL Technologies.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL DATA WAREHOUSE MARKET

• 1.1 Introduction of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4 GLOBAL DATA WAREHOUSE MARKET OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
  • 4.2.3 Opportunities
• 4.3 Porters Five Force Model
• 4.4 Value Chain Analysis

5 GLOBAL DATA WAREHOUSE MARKET, BY OFFERING TYPE

• 5.1 Overview
• 5.2 ETL Solutions
• 5.3 Data Mining
• 5.4 Statistical Analysis
• 5.5 Others

6 GLOBAL DATA WAREHOUSE MARKET, BY DATA TYPE

• 6.1 Overview
• 6.2 Unstructured Data
• 6.3 Semi-Structured Data
• 6.4 Structured Data

7 GLOBAL DATA WAREHOUSE MARKET, BY END-USER INDUSTRY

• 7.1 Overview
• 7.2 Banking, Financial Services and Insurance (BFSI)
• 7.3 Healthcare
• 7.4 IT and Telecom
• 7.5 Retail
• 7.6 Manufacturing
• 7.7 Government
• 7.8 Media and Entertainment
• 7.9 Others

8 GLOBAL DATA WAREHOUSE MARKET, BY DEPLOYMENT MODE

• 8.1 Overview
• 8.2 Cloud
• 8.3 On-Premises
• 8.4 Hybrid

9 GLOBAL DATA WAREHOUSE MARKET, BY GEOGRAPHY

• 9.1 Overview
• 9.2 North America
  • 9.2.1 U.S.
  • 9.2.2 Canada
  • 9.2.3 Mexico
• 9.3 Europe
  • 9.3.1 Germany
  • 9.3.2 U.K.
  • 9.3.3 France
  • 9.3.4 Rest of Europe
• 9.4 Asia Pacific
  • 9.4.1 China
  • 9.4.2 Japan
  • 9.4.3 India
  • 9.4.4 Rest of Asia Pacific
• 9.5 Rest of the World
  • 9.5.1 Latin America
  • 9.5.2 Middle East & Africa

10 GLOBAL DATA WAREHOUSE MARKET COMPETITIVE LANDSCAPE

• 10.1 Overview
• 10.2 Company Market Ranking
• 10.3 Key Development Strategies

11 COMPANY PROFILES

• 11.1 Microsoft Corporation
  • 11.1.1 Overview
  • 11.1.2 Financial Performance
  • 11.1.3 Product Outlook
  • 11.1.4 Key Developments
• 11.2 Micro Focus International PLC
  • 11.2.1 Overview
  • 11.2.2 Financial Performance
  • 11.2.3 Product Outlook
  • 11.2.4 Key Developments
• 11.3 IBM Corporation
  • 11.3.1 Overview
  • 11.3.2 Financial Performance
  • 11.3.3 Product Outlook
  • 11.3.4 Key Developments
• 11.4 Pivotal Software Inc.
  • 11.4.1 Overview
  • 11.4.2 Financial Performance
  • 11.4.3 Product Outlook
  • 11.4.4 Key Developments
• 11.5 Amazon Web Services Inc.
  • 11.5.1 Overview
  • 11.5.2 Financial Performance
  • 11.5.3 Product Outlook
  • 11.5.4 Key Developments
• 11.6 Oracle Corporation
  • 11.6.1 Overview
  • 11.6.2 Financial Performance
  • 11.6.3 Product Outlook
  • 11.6.4 Key Developments
• 11.7 Cloudera Inc
  • 11.7.1 Overview
  • 11.7.2 Financial Performance
  • 11.7.3 Product Outlook
  • 11.7.4 Key Developments
• 11.8 SAP AG
  • 11.8.1 Overview
  • 11.8.2 Financial Performance
  • 11.8.3 Product Outlook
  • 11.8.4 Key Developments
• 11.9 Google LLP
  • 11.9.1 Overview
  • 11.9.2 Financial Performance
  • 11.9.3 Product Outlook
  • 11.9.4 Key Developments
• 11.10 Teradata Corporation
  • 11.10.1 Overview
  • 11.10.2 Financial Performance
  • 11.10.3 Product Outlook
  • 11.10.4 Key Developments

12 Appendix

• 12.1 Related Research

관련자료