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世界のデータウェアハウス市場：市場規模（提供内容の種類別、展開方式別、データの種類別、エンドユーザー産業別、地域別）、将来予測

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

出版日
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英文 202 Pages
納期
2～3営業日
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価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=145.06円
世界のデータウェアハウス市場：市場規模（提供内容の種類別、展開方式別、データの種類別、エンドユーザー産業別、地域別）、将来予測
出版日: 2025年04月30日
発行: Verified Market Research
ページ情報: 英文 202 Pages
納期: 2～3営業日
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概要

データウェアハウスの市場規模と予測

データウェアハウスの市場規模は、2024年に276億8,000万米ドルと評価され、2026年から2032年にかけて11%のCAGRで成長し、2032年には639億米ドルに達すると予測されています。

  • データウェアハウスは、多様なソースからの膨大な量の構造化データおよび非構造化データを保存、管理、分析し、ビジネスインテリジェンス（BI）タスクを促進する一元化されたリポジトリです。データウェアハウスは、企業が過去のデータと現在のデータを組み合わせ、意味のある洞察を得るための迅速なクエリーとレポーティングを可能にします。データウェアハウスは、データ分析のための「単一の真実の情報源」を提供することにより、意思決定プロセスを支援します。
  • データウェアハウスは一般的に、業績管理、市場調査、顧客分析、業務分析に使用され、戦略的意思決定と全体的なビジネスパフォーマンスの向上を目指しています。

データウェアハウスの世界市場力学

データウェアハウス市場を形成している主な市場力学は以下の通り：

主な市場促進要因：

  • 各業界で生成されるデータ量の増加：データ生成量の急激な拡大により、堅牢なデータウェアハウス・ソリューションに対する需要が高まっています。International Data Corporation（IDC）によると、世界のデータスフィアは2018年の33ゼタバイトから2025年には175ゼタバイトに増加すると予想されています。このデータ量の膨大な増加により、効率的な保存、管理、分析を実現する高度なデータウェアハウス機能が求められています。
  • クラウドベースのデータウェアハウスの採用拡大：クラウドベースのソリューションへの移行は、データウェアハウス市場の重要な促進要因です。2022年までに、全データベースの75%がクラウドプラットフォームに導入または移行されます。この動向は、クラウドベースのデータウェアハウスのスケーラビリティ、柔軟性、コスト効率に起因しており、市場成長の強化につながっています。
  • リアルタイム分析とビジネスインテリジェンスに対する需要の高まり：最新の情報に基づく迅速な意思決定への需要が、データウェアハウス市場を牽引しています。調査によると、著名企業の91.9%がビッグデータと人工知能への投資を拡大しています。データウェアハウスは、リアルタイム分析とビジネスインテリジェンスを実現する上で不可欠であり、企業はデータから関連する洞察を迅速かつ効率的に引き出すことができます。

主な課題

  • データの品質：データウェアハウスで高品質のデータを維持することは、信頼性の高い分析と意思決定に不可欠です。しかし、多くのソースからのデータには、その正確性を危うくする不一致、不正確さ、重複が含まれている可能性があります。データ入力や処理中の手作業によるエラーは、こうした問題をさらに悪化させます。ウェアハウスから得られる洞察の信頼性を高めるために、企業は強力なデータクレンジングと検証プロセスを採用する必要があります。
  • 拡張性：スケーラビリティは、多くの従来型データウェアハウスにとって重要な課題です。ビジネスが拡大し、データ要件が変化するにつれて、効率的に拡張する能力が不可欠になります。従来のアーキテクチャは、その硬直的なフレームワークにより、変更を迅速に適用することが困難であるため、迅速なスケーラビリティに苦しんでいます。この柔軟性の低さがパフォーマンスのボトルネックを引き起こし、企業の新たなビジネスニーズやビジネス機会への迅速な対応能力を損ないます。

主要動向：

  • DwaaS（サービスとしてのデータウェアハウス）：DWaaS（Data Warehouse as a Service）は、データウェアハウス市場のよく知られた動向です。この戦略により、企業はクラウドベースのデータウェアハウス・システムを利用できるようになり、大規模なオンプレミス・インフラを必要とせずに柔軟性と拡張性を実現できます。企業がデータ主導の意思決定に依存するようになるにつれ、効果的なデータ管理と分析機能に対する需要から、DWaaS市場は急速に発展すると予想されます。
  • グリーンデータウェアハウス：エコロジーへの関心が高まるにつれ、グリーンデータウェアハウスへの移行も加速しています。企業は、エネルギー効率の高いクラウドベースのソリューションを使用することで、二酸化炭素排出量を大幅に削減することができます。この動向は持続可能性を促進するだけでなく、エネルギー使用量を削減することでコスト削減にもつながります。企業が環境に優しい実践を推進するにつれ、グリーンデータウェアハウスは将来のデータ管理計画において重要な役割を果たすと予測されます。

目次

第1章 世界のデータウェアハウス市場：イントロダクション

  • 市場イントロダクション
  • 分析範囲
  • 前提条件

第2章 エグゼクティブサマリー

第3章 VERIFIED MARKET RESEARCHの分析手法

  • データマイニング
  • バリデーション
  • 一次資料
  • データソース一覧

第4章 世界のデータウェアハウス市場の展望

  • 概要
  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
  • ポーターのファイブフォースモデル
  • バリューチェーン分析

第5章 世界のデータウェアハウス市場：提供内容の種類別

  • 概要
  • ETLソリューション
  • データマイニング
  • 統計分析
  • その他

第6章 世界のデータウェアハウス市場：データの種類別

  • 概要
  • 非構造化データ
  • 半構造化データ
  • 構造化データ

第7章 世界のデータウェアハウス市場：エンドユーザー産業別

  • 概要
  • 銀行、金融サービス、保険（BFSI）
  • 医療
  • IT・通信
  • 小売
  • 製造業
  • 政府機関
  • メディア・エンターテインメント
  • その他

第8章 データウェアハウスの世界市場、提供方式別

  • 概要
  • クラウド
  • オンプレミス
  • ハイブリッド

第9章 世界のデータウェアハウス市場：地域別

  • 概要
  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • その他欧州
  • アジア太平洋
    • 中国
    • 日本
    • インド
    • その他アジア太平洋
  • 世界のその他の地域
    • ラテンアメリカ
    • 中東・アフリカ

第10章 世界のデータウェアハウス市場の競合情勢

  • 概要
  • 各社の市場ランキング
  • 主な発展戦略

第11章 企業プロファイル

  • 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

第12章 付録

  • 関連分析
目次
Product Code: 34082

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