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市场调查报告书
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1733277

全球资料仓储市场：市场规模（按产品类型、部署方法、资料类型、最终用户产业和地区），预测至 2025 年

Global Data Warehouse Market Size By Offering Type, By Deployment Mode, By Data Type, By End-User Industry, By Geographic Scope And Forecast
出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3个工作天内

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简介目录

资料仓储市场规模与预测

2024 年资料仓储市场规模价值 276.8 亿美元，预计到 2032 年将达到 639 亿美元，2026 年至 2032 年的复合年增长率为 11%。

  • 资料仓储是一个集中式储存库，用于储存、管理和分析来自不同来源的大量结构化和非结构化数据，以促进商业智慧(BI) 任务。资料仓储可让企业结合历史资料和当前资料进行快速查询和彙报，从而获得有意义的见解。资料仓储透过为资料分析提供「单一事实资讯来源」来帮助决策流程。
  • 资料仓储通常用于绩效管理、市场研究、客户分析和业务分析，目的是提高策略决策和整体业务绩效。

全球资料仓储市场动态

影响资料仓储市场的关键市场动态是：

主要市场驱动因素：

  • 各行各业产生的资料量不断增加：资料产生的急剧成长推动了对强大资料仓储解决方案的需求。根据国际数据公司 (IDC) 的预测，全球数据圈预计将从 2018 年的 33 Zetta位元组成长到 2025 年的 175 Zetta位元组。资料量的大幅成长需要先进的资料仓储功能，以实现高效的储存、管理和分析。
  • 云端基础的资料仓储的采用日益增长：向云端基础的解决方案的转变是资料仓储市场发展的关键驱动力。到2022年，75%的资料库将部署或迁移到云端平台。这一趋势归因于云端基础的资料仓储的可扩展性、灵活性和成本效益，从而推动了市场成长。
  • 对即时分析和商业智慧的需求不断增加：基于最新资讯快速决策的需求正在推动资料仓储市场的发展。调查显示，91.9%的领先企业正在加大对巨量资料和人工智慧的投入。资料仓储对于实现即时分析和商业智慧至关重要，它使公司能够快速有效地从资料中获取相关见解。

主要挑战

  • 资料品质：在资料仓储中维护高品质的资料对于可靠的分析和决策至关重要。然而，来自许多来源的数据可能包含不一致、不准确和重复的内容，从而影响其准确性。资料输入和处理过程中的手动错误进一步加剧了这些问题。为了提高从仓库获得的见解的可靠性，公司必须采用强大的资料清理和检验流程。
  • 扩充性：可扩展性是许多传统资料仓储面临的关键挑战。随着您的业务扩展和数据需求的变化，有效扩展的能力变得至关重要。传统架构难以快速扩展，因为其僵化的框架使得快速应用变更变得困难。这种缺乏灵活性会造成效能瓶颈，并削弱公司快速回应新业务需求和机会的能力。

主要趋势：

  • DwaaS（资料仓储即服务）：DWaaS（资料仓储即服务）是资料仓储市场中众所周知的趋势。此策略允许公司利用云端基础的资料仓储系统，提供灵活性和扩充性，而无需大型内部部署基础架构。随着企业越来越依赖数据主导的决策，对有效数据管理和分析能力的需求预计将推动 DWaaS 市场的快速成长。
  • 绿色资料仓储：随着人们对生态议题的关注日益加深，向绿色资料仓储的转变也在加速。企业可以透过使用节能的云端基础的解决方案显着减少碳排放。这一趋势不仅促进了永续性，而且还透过减少能源使用节省了资金。随着企业转向更环保的做法，绿色资料仓储有望在未来的资料管理计画中发挥关键作用。

目录

第 1 章全球资料仓储市场：简介

  • 市场介绍
  • 分析范围
  • 先决条件

第二章执行摘要

第三章 已验证的市场研究分析方法

  • 资料探勘
  • 验证
  • 第一手资料
  • 资料来源列表

第四章 全球资料仓储市场展望

  • 概述
  • 市场动态
    • 驱动程式
    • 限制因素
    • 机会
  • 波特五力模型
  • 价值链分析

第五章。按产品类型分類的全球资料仓储市场

  • 概述
  • ETL 解决方案
  • 资料探勘
  • 统计分析
  • 其他的

6. 全球资料仓储市场（依资料类型）

  • 概述
  • 非结构化数据
  • 半结构化数据
  • 结构化资料

7. 全球资料仓储市场（依最终用户产业划分）

  • 概述
  • 银行、金融服务和保险（BFSI）
  • 医疗保健
  • 资讯科技/通讯
  • 零售
  • 製造业
  • 政府
  • 媒体与娱乐
  • 其他的

第 8 章：全球资料仓储市场（以交付方式）

  • 概述
  • 云
  • 本地
  • 杂交种

9. 全球资料仓储市场（按地区）

  • 概述
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 世界其他地区
    • 拉丁美洲
    • 中东和非洲

第十章全球资料仓储市场的竞争格局

  • 概述
  • 各公司市场排名
  • 主要发展策略

第十一章 公司简介

  • 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

第十二章 附录

  • 相关分析
简介目录
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