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市場調査レポート
商品コード
1666001
データカタログの市場規模、シェア、成長分析:コンポーネント別、組織規模別、展開モード別、データ消費者別、メタデータタイプ別、業界別、地域別 - 産業予測 2025~2032年Data Catalog Market Size, Share, and Growth Analysis, By Component (Solutions, Services), By Organization Size (SMEs, Large Enterprises), By Deployment Mode, By Data Consumer, By Metadata Type, By Vertical, By Region - Industry Forecast 2025-2032 |
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データカタログの市場規模、シェア、成長分析:コンポーネント別、組織規模別、展開モード別、データ消費者別、メタデータタイプ別、業界別、地域別 - 産業予測 2025~2032年 |
出版日: 2025年02月27日
発行: SkyQuest
ページ情報: 英文 188 Pages
納期: 3~5営業日
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データカタログの世界市場規模は、2023年に9,083億米ドルと評価され、2024年の1兆1,299億3,000万米ドルから2032年には6兆4,805億6,000万米ドルに成長し、予測期間中(2025年~2032年)のCAGRは24.4%で成長する見通しです。
同市場は、BFSI、ヘルスケア、通信、IT・通信、製造業などさまざまな分野でデジタル技術の導入とデータ活用が進んでいることを背景に、予測期間中に大きく成長する見通しです。業界の主要企業は、効果的な意思決定のために膨大な量のデータを活用するビジネスインテリジェンス(BI)ツールに対する需要の高まりに対応する戦略的アプローチとして、製品リリースを活用しています。さらに、堅牢なデータカタログシステムが導入されれば、高度なデータ可視化技術によって洞察力を高めることができます。クラウドストレージやNoSQLデータベースなど、さまざまなソースからのメタデータを集約する最新のカタログは、ますます不可欠になっています。データ集約、最適化ツールに対するニーズの高まり、ビッグデータ分析への投資の増加は、データカタログ市場の開拓をさらに加速させると思われます。
Global Data Catalog Market size was valued at USD 908.3 billion in 2023 and is poised to grow from USD 1129.93 billion in 2024 to USD 6480.56 billion by 2032, growing at a CAGR of 24.4% during the forecast period (2025-2032).
The market is poised for significant growth in the forecast period, driven by the rising adoption of digital technologies and data utilization across various sectors including BFSI, healthcare, telecommunications, IT, and manufacturing. Key players in the industry are leveraging product releases as a strategic approach to meet the growing demand for business intelligence (BI) tools that harness vast amounts of data for effective decision-making. Furthermore, advanced data visualization techniques can enhance insights once robust data cataloging systems are implemented. Modern catalogs, which aggregate metadata from a variety of sources such as cloud storage and NoSQL databases, are becoming increasingly vital. The escalating need for data aggregation, optimization tools, and increased investment in big data analytics will further accelerate the development of the data catalog market.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Data Catalog 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 Catalog Market Segments Analysis
Global Data Catalog Market is segmented by Component, Organization Size, Deployment Mode, Data Consumer, Metadata Type, Vertical and region. Based on Component, the market is segmented into Solutions and Services. Based on Organization Size, the market is segmented into SMEs and Large Enterprises. Based on Deployment Mode, the market is segmented into Cloud and On-Premises. Based on Data Consumer, the market is segmented into Business Intelligence tools, Enterprise Applications and Mobile and Web Applications. Based on Metadata Type, the market is segmented into Technical Metadata and Business Metadata. Based on Vertical, the market is segmented into BFSI, Retail and eCommerce, Manufacturing, Government and Defence, Healthcare and Life Sciences, Telecom, Ites, Media and Entertainment, Transportation and Logistics and Other Verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Data Catalog Market
The Global Data Catalog market is primarily driven by the exponential increase in data generated across various organizations, which presents a significant challenge in identifying and comprehending vital data assets. Companies often find it difficult to achieve a cohesive overview of their data environments, resulting in a lack of clarity regarding the location and accessibility of essential information. This lack of transparency can adversely affect critical business decisions, as they frequently rely on the examination of both internal and external data. Consequently, the inability to access the right data promptly can severely hinder organizational efficiency, productivity, and overall competitiveness in the market.
Restraints in the Global Data Catalog Market
One of the primary challenges hindering the expansion of the global data catalog market is the intricate implementation of essential applications. Organizations face considerable operational hurdles in integrating various data sources and ensuring governance over their distributed data assets. Establishing a centralized data catalog is a daunting and time-consuming endeavor, as it necessitates comprehensive tasks such as mapping databases, organizing data assets, curating metadata, and defining access policies. These complexities can deter organizations from effectively adopting data cataloging solutions, ultimately impacting the market's growth trajectory by making implementation more cumbersome and resource-intensive.
Market Trends of the Global Data Catalog Market
The Global Data Catalog market is experiencing a significant trend towards the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies, which are revolutionizing the way organizations manage their data assets. By automating key functions such as metadata tagging, data classification, and lineage tracking, these advanced technologies significantly reduce manual workloads and enhance data accuracy. As businesses collect vast amounts of data from diverse sources, the implementation of AI-driven data catalogs enables real-time insights into data flow and transformations, allowing organizations to effectively address traceability, resolve data discrepancies, and ensure compliance with regulatory standards, ultimately driving innovation and efficiency in data management.