Dremio is listed as a Representative Vendor in this Market Guide with the Agentic Lakehouse Platform. We believe that recognition reflects the foundation we have built: an AI Semantic Layer that spans every source, Iceberg-native architecture, and MCP-first connectivity, designed from day one to give every knowledge worker and AI agent governed access to enterprise data.
What's Inside
Insights from Gartner Research
A recent Gartner® Market Guide identifies key considerations for D&A leaders evaluating agentic analytics platforms:
*Source: Gartner® Market Guide for Agentic Analytics, Deepak Seth, Georgia O'Callaghan, Fay Fei, Jeroen Cornelissen, February 9, 2026.
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Gartner's latest research on agentic analytics covers the market definition, key findings, and strategic recommendations for Data & Analytics leaders.
Gartner defines agentic analytics as software that applies AI agents across the data-to-insight workflow, orchestrating tasks semiautonomously or autonomously toward stated goals.
Organizations struggle with ROI, trust, governance, and cost control. Learn the frameworks Gartner recommends for scaling agentic analytics, including semantic layers, human-AI interaction models, and real-time monitoring.
By 2028, 60% of self-service analytics users will use general-purpose LLMs for ad hoc analysis, while 60% of projects relying solely on MCP will fail without a consistent semantic layer.