Research > Market Forecast: Intelligent Data Catalog (IDC), 2026-2030, Worldwide
31.05.2025
Domain:Data, Analytics & AI
Sub Domain:Data Management & Integration
Price:$ 3,900
Market Forecast: Intelligent Data Catalog (IDC), 2026-2030, Worldwide
Report Description:
Quadrant Knowledge Solutions Reveals that Intelligent Data Catalog Projected to Register a CAGR of 11.50% by 2028.
Recently enterprises exhibited a vast data landscape with structured, semi-structured, and unstructured data, and the organization must tap into the data to utilize these effectively to achieve the goals set. Enterprise organizations continue to face significant challenges in terms of data management, governance, and analysis to get valuable insights. The data-driven culture has begun to evolve globally, due to the significant growth of multi-data and advanced analytics platforms. The information flows through, it is essential to filter it for data findability and data usability.
These data can move from gigabytes to terabytes to petabytes in the span of a few years. The challenges can be resolved using the potential of data catalogs. The catalog makes it easy for users to use the platform without prior experience to explore and find data and understand quickly for specific use cases. it is important data catalog should address key aspects like collaboration, data navigating data, data governance, and a broad range of connectivity.
Key questions this study will answer:
Strategic Market Direction:
The intelligent data catalog market is strategically evolving to meet the demands of modern data management. Key directions include enhancing AI and machine learning capabilities for automated metadata management and data discovery. Emphasizing robust data governance and compliance, intelligent data catalogs provide comprehensive visibility into data assets and support adherence to regulations like GDPR and CCPA. Integration with multi-cloud and hybrid cloud environments ensures seamless data management across diverse platforms.
Promoting data democratization, these catalogs offer intuitive interfaces and self-service analytics tools for non-technical users. Integration with data quality and lineage tools ensures data accuracy and reliability. Additionally, the adoption of graph technology improves the representation of data relationships, enabling sophisticated lineage tracking and impact analysis. Real-time and automated data cataloging further enhances efficiency and accuracy.
Vendors Covered:
Alation, Alex Solutions, Atlan, BigID, Boomi, Cloudera, Collibra, data.world, denodo, erwin by Quest, Hitachi Vantara, IBM, Informatica, One Trust, Precisely, Qlik, Talend, Tibco, and Zaloni.
Table of Contents:
Chapter 01: Executive Summary
Chapter 02: Market Overview
Chapter 03: Market Forecast Analysis
Chapter 04: Company Profile
Chapter 05: Appendix
List of Figures
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Authors
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