Hype Cycle for Data Management

Data and analytics leaders must navigate dynamic opportunities and challenges presented by generative AI, expanding cloud technologies, and increasingly sophisticated data ecosystems. As organizations accelerate cloud adoption and embed AI within data management solutions, understanding technology maturity and adoption timelines becomes critical. From our perspective, this research provides a comprehensive evaluation framework to identify promising technologies and determine optimal adoption timing based on organizational readiness and business impact.

Insights from Industry Research

Our takeaways from a recent industry report highlights key considerations for organizations evaluating data management technologies:

Transformational Technologies at Different Maturity Stages
"AI-ready data has moved from the activation trigger to the peak of hype over the last year. Despite its immaturity, generative AI is attracting substantial interest among both clients and vendors, representing the largest growing area of inquiry within data management."
AI's Pervasive Impact on Data Management
Generative AI capabilities are now embedded across nearly all data management technologies, from augmented FinOps to self-service data management platforms, making it the largest growing area of inquiry for organizations.
Fast-Moving Innovation Drivers
Technologies like AI-ready data, self-service data management, and data management platforms are advancing rapidly through the Hype Cycle, driven by strong customer demand and the need to support emerging AI use cases.

Source: Gartner, Hype Cycle for Data Management, Aaron Rosenbaum, Robert Thanaraj, 9 July 2025,

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

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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 request from Dremio.

GARTNER is a trademark of Gartner, Inc. and/or its affiliates.

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