Global Trends and Growth Potential in the Intelligent Data Catalog Market

 


According to Quadrant Knowledge Solutions, an Intelligent Data Catalog (IDC) is a comprehensive metadata repository that inventories an organization's data assets. It includes AI and ML models, unstructured and structured data, data profiling, lineage, classification, data queries, and reports. IDCs help data professionals connect, collect, discover, organize, access, understand, consume, and enrich data more effectively. They enable users to find the most appropriate and usable data for analytical or business purposes while providing exclusive access to metadata such as data definitions, synonyms, and critical business attributes, along with usage instructions.

Furthermore, an Intelligent Data Catalog enhances data governance, operational revenues, profits, and precise insights alongside self-service analytics, significantly boosting operational productivity and customer satisfaction.

An intelligent data catalog offers a centralized platform to integrate data from both internal and external sources, enhance data quality, and present a unified, contextual view of metadata, their relationships, and usage. It can gather data from a variety of sources, including on-premises systems, cloud platforms, data warehouses, data lakes, IoT devices, social media, and external databases.

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Key questions this study will address include:

·       Is the Intelligent Data Catalog market growing? What are the short-term and long-term growth potentials of the market?

·       What are the key market accelerators and restraints impacting the global Intelligent Data Catalog market?

·       What are the major end-user industries for Intelligent Data Catalog solutions?

·       Which industries offer the most significant growth opportunities during the forecast period?

·       Which global regions offer the most growth opportunities in the Intelligent Data Catalog market?

·       Which customer segments have the highest adoption of Intelligent Data Catalogs?

·       What are the various deployment options for Intelligent Data Catalogs?

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In terms of strategic market direction:

Utilizing machine learning, artificial intelligence, and automation, intelligent data catalogs enable business, IT, and data governance professionals to identify complex data relationships, enhance data quality, uncover duplicate datasets, draw semantic inferences, recommend alternative datasets based on quality and usage, and understand data lineage.

The advancement of intelligence in data catalogs has significantly enhanced search capabilities, improved data quality management, and provided more sophisticated data governance functionalities. These innovations have transformed data catalogs into highly effective tools for organizations that rely on data-driven decision-making.

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Vendors covered in this study:

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.

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