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Dremio Recognized in the Gartner® Market Guide for Agentic Analytics

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.

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What's Inside

    Insights from Gartner Research

    A recent Gartner® Market Guide identifies key considerations for D&A leaders evaluating agentic analytics platforms:

    • The semantic layer is foundational: "By 2028, 60% of agentic analytics projects relying solely on MCP will fail due to the lack of a consistent semantic layer."*
    • Policy alignment cannot be an afterthought: "Semantic and policy alignment is foundational for effective agentic analytics."*
    • Start focused: "Focusing on specific analytical scenarios delivers measurable value."*

    *Source: Gartner® Market Guide for Agentic Analytics, Deepak Seth, Georgia O'Callaghan, Fay Fei, Jeroen Cornelissen, February 9, 2026.

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GUIDE OVERVIEW

What You'll Learn

Gartner's latest research on agentic analytics covers the market definition, key findings, and strategic recommendations for Data & Analytics leaders.

Agentic AI
What Is Agentic Analytics?

Gartner defines agentic analytics as software that applies AI agents across the data-to-insight workflow, orchestrating tasks semiautonomously or autonomously toward stated goals.

MCP
Key Challenges to Overcome

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.

Benefits
2028 Planning Assumptions

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.

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  • 15+ years of experience as a data engineer, solutions architect, and developer
  • Worked with global organizations including CERN, Deloitte, & Tamr
  • Expert in modern data architectures, lakehouse design, and agentic AI systems

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