Analyst Research

Gartner® Report: A Journey Guide to Deliver AI Success Through AI-Ready Data

Learn why AI-ready data initiatives are the top investment priority for 77% of organizations and how data fabric architecture provides the foundational capabilities needed to support both traditional analytics and emerging AI use cases.

Bar chart showing top 5 investment trends for data management leaders in the next 2-3 years. AI-ready data initiatives leads at 77% (29% first choice), followed by data quality and governance at 64% (16% first choice), data product architecture at 63% (15% first choice), data integration and preparation at 47% (7% first choice), and cloud migration at 41% (8% first choice). Additional trends shown include metadata tools at 40%, data fabric at 37%, data mesh at 31%, and lakehouse at 25%. Based on Gartner's 2024 Evolution of Data Management Survey with 247 respondents.

Building an AI-Ready Data Foundation

The new Gartner research reveals that “use of AI-ready data to support AI initiatives (including GenAI applications) requires evolutionary changes to data management and urgent upgrades to data architecture, platforms, skills and processes.”

From our point of view, this report helps D&A leaders navigate the changes needed to enable and operationalize AI-ready data as an iterative and agile discipline through architecture, technology and skills.

What we think you’ll learn:

  • Why AI-ready data initiatives are the top investment priority for 77% of organizations — and what makes data “AI-ready”
  • How data fabric is the key foundational data management technology to enable AI
  • Why metadata management and semantic context become essential for GenAI accuracy and reducing bias in AI models

The research provides practical steps for building on existing data investments while creating the flexible, federated foundation that AI initiatives require.

Gartner, A Journey Guide to Deliver AI Success Through AI-Ready Data, By Ehtisham Zaidi, Roxane Edjlali, 11 July 2025.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon requests from Promethium.