Gartner® Hype Cycle™ for Data, Analytics, and AI Leaders and Programs 2025
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Navigate the Hype. Deliver Impact in 2025.
According to Gartner, data leaders have a mandate to quickly mature their AI capabilities and scale them effectively. But with complex data stacks and a near-zero tolerance for downtime, how do you ensure your data is AI-ready?
This report is your guide to navigating that challenge, positioning data observability as a High Benefit Rating technology.
In this report, you can learn:
Facilitate AI adoption by ensuring the quality, security, and compliance posture of your data.
Ensure data is AI-ready by improving data reliability with real-time insights into data health, performance, and usage.
Prevent business disruptions by resolving and preventing data issues that could undermine your AI systems.
Understand the vendor landscape for emerging AI solutions that automate and scale data management.
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 Bigeye.
Gartner, Hype Cycle for Data, Analytics, and AI Leaders and Programs, Nate Novosel, Amy Bickel, Donna Medeiros, 16 July 2025. GARTNER is a registered trademark and service mark of Gartner 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.