In the AI and generative AI era, data has evolved from a byproduct of business processes to a strategic asset driving innovation and decision-making. Despite its importance, enterprises face significant challenges in effectively managing and utilizing data, including data silos, low data quality, inefficient discovery processes, and compliance risks.

Data catalogs have emerged as a foundational tool to address these issues. By centralizing metadata and providing detailed data inventories, they enable enterprises to discover, understand, and trust their data assets. Modern data catalogs go further by incorporating AI-driven capabilities such as semantic search, knowledge graph visualization, and intelligent recommendations, transforming how organizations access and use data.

In this report, we explore data catalogs’ evolution, capabilities, role in solving enterprise data challenges, adoption strategies, and market trends.

Scope

All industries and geographies

Contents

In this report, we examine:

• Data management challenges and business implications for data leaders
• Data catalogs’ evolution
• Modern data catalog solutions’ core components
• Technology provider landscape and innovations
• The evolving data catalog supplier ecosystem

Membership(s)

Data & Analytics

Sourcing and Vendor Management