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The 2026 Gartner® Magic Quadrant™ for Decision Intelligence Platforms examines how decision intelligence platforms (DIPs) combine decision modeling, analytics, and AI to augment and automate decision making and drive business outcomes. By applying a graphical treatment and a uniform set of evaluation criteria, a Magic Quadrant helps you quickly ascertain how well technology providers are executing their stated visions and how well they are performing against Gartner’s market view.
RelationalAI—evaluated alongside 16 other vendors— has the only platform built as a Snowflake Data Cloud-native Decision Intelligence Platform in this assessment.
OUR KEY TAKEAWAYS FROM THE REPORT:
✔ How decision intelligence platforms are evolving: From analytics and dashboards to decision-centric architectures that support automation, learning, and accountability.
✔ What it takes to govern AI at scale: Why auditability, explainability, and decision monitoring are becoming mandatory as AI moves into execution.
✔ How agentic AI fits into enterprise reality: Where agents add value—and why grounding them in shared data, logic, and semantics is critical to avoid sprawl and risk.
✔ Why complex AI matters: How combining LLMs with rules, optimization, simulation, and knowledge graphs enables more reliable, decision-ready systems.
Gartner, Magic Quadrant for Decision Intelligence Platforms, David Pidsley, Carlie Idoine, Kevin Quinn, Gareth Herschel, Kjell Carlsson, 26 January 2026 Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates.
Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, 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 RelationalAI.
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