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商品編碼

1733277

全球資料倉儲市場：市場規模（按產品類型、部署方法、資料類型、最終用戶產業和地區），預測至 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: 2025年04月30日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

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簡介目錄

資料倉儲市場規模與預測

2024 年資料倉儲市場規模價值 276.8 億美元，預計到 2032 年將達到 639 億美元，2026 年至 2032 年的複合年成長率為 11%。

資料倉儲是一個集中式儲存庫，用於儲存、管理和分析來自不同來源的大量結構化和非結構化數據，以促進商業智慧(BI) 任務。資料倉儲可讓企業結合歷史資料和當前資料進行快速查詢和彙報，從而獲得有意義的見解。資料倉儲透過為資料分析提供「單一事實資訊來源」來幫助決策流程。
資料倉儲通常用於績效管理、市場研究、客戶分析和業務分析，目的是提高策略決策和整體業務績效。

全球資料倉儲市場動態

影響資料倉儲市場的關鍵市場動態是：

主要市場促進因素：

各行各業產生的資料量不斷增加：資料產生的急劇成長推動了對強大資料倉儲解決方案的需求。根據國際數據公司 (IDC) 的預測，全球數據圈預計將從 2018 年的 33 Zetta位元組成長到 2025 年的 175 Zetta位元組。資料量的大幅成長需要先進的資料倉儲功能，以實現高效的儲存、管理和分析。
雲端基礎的資料倉儲的採用日益成長：向雲端基礎的解決方案的轉變是資料倉儲市場發展的關鍵驅動力。到2022年，75%的資料庫將部署或遷移到雲端平台。這一趨勢歸因於雲端基礎的資料倉儲的可擴展性、靈活性和成本效益，從而推動了市場成長。
對即時分析和商業智慧的需求不斷增加：基於最新資訊快速決策的需求正在推動資料倉儲市場的發展。調查顯示，91.9%的領先企業正在加大對巨量資料和人工智慧的投入。資料倉儲對於實現即時分析和商業智慧至關重要，它使公司能夠快速有效地從資料中獲取相關見解。

主要挑戰

資料品質：在資料倉儲中維護高品質的資料對於可靠的分析和決策至關重要。然而，來自許多來源的數據可能包含不一致、不準確和重複的內容，從而影響其準確性。資料輸入和處理過程中的手動錯誤進一步加劇了這些問題。為了提高從倉庫獲得的見解的可靠性，公司必須採用強大的資料清理和檢驗流程。
擴充性：可擴展性是許多傳統資料倉儲面臨的關鍵挑戰。隨著您的業務擴展和數據需求的變化，有效擴展的能力變得至關重要。傳統架構難以快速擴展，因為其僵化的框架使得快速應用變更變得困難。這種缺乏靈活性會造成效能瓶頸，並削弱公司快速回應新業務需求和機會的能力。

主要趨勢：

DwaaS（資料倉儲即服務）：DWaaS（資料倉儲即服務）是資料倉儲市場中眾所周知的趨勢。此策略允許公司利用雲端基礎的資料倉儲系統，提供靈活性和擴充性，而無需大型內部部署基礎架構。隨著企業越來越依賴數據主導的決策，對有效數據管理和分析能力的需求預計將推動 DWaaS 市場的快速成長。
綠色資料倉儲：隨著人們對生態議題的關注日益加深，向綠色資料倉儲的轉變也在加速。企業可以透過使用節能的雲端基礎的解決方案顯著減少碳排放。這一趨勢不僅促進了永續性，而且還透過減少能源使用節省了資金。隨著企業轉向更環保的做法，綠色資料倉儲有望在未來的資料管理計畫中發揮關鍵作用。

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.

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