Dremio Named a Representative Vendor in the 2026 Gartner® Market Guide for Agentic Analytics. Here Is What We Think That Means for the Agentic Lakehouse.
Dremio Blog
5 minute read · May 13, 2026
Dremio Named a Representative Vendor in the 2026 Gartner® Market Guide for Agentic Analytics. Here Is What We Think That Means for the Agentic Lakehouse.
Dremio Named a Representative Vendor in the 2026 Gartner® Market Guide for Agentic Analytics. Here Is What We Think That Means for the Agentic Lakehouse.
Dremio Named a Representative Vendor in the 2026 Gartner® Market Guide for Agentic Analytics. Here Is What We Think That Means for the Agentic Lakehouse.
We have news. The Gartner® Market Guide for Agentic Analytics, published February 9, 2026, maps the platforms shaping an emerging category: software that applies AI agents across the data-to-insight workflow. Among approximately 37 vendors listed, Dremio is recognized for its Agentic Lakehouse Platform as a Representative Vendor. We believe this reflects the data foundation we have built: Iceberg-native, semantically governed, and designed from the start to connect any agent to any data without ETL pipelines.
Here is what that recognition means to us, and what the report is telling D&A leaders about where this market is headed.
The market has arrived
The numbers in this Market Guide are not subtle. According to the report, “Forty-one percent of respondents to the 2025 Gartner Generative and Agentic AI in Enterprise Applications Survey report their organizations have deployed (16%) or are deploying (25%) AI agents.” And: “Seventy-nine percent of IT Leaders surveyed think the productivity impact of integrating AI agents into their organization’s enterprise application portfolio will be significant, and 26% believe it will be transformative.” Social media conversations about agentic analytics surged nearly 2,500% between the start of 2024 and June 2025. As Gartner writes, “Organizations are moving from exploratory use of AI agents for analytics to early-scale deployment but struggle with ROI, trust, governance, and cost control.” (Gartner, Market Guide for Agentic Analytics, Deepak Seth, Georgia O’Callaghan, Fay Fei, Jeroen Cornelissen, February 9, 2026.) That tension between ambition and infrastructure is exactly the gap the Agentic Lakehouse aims to close. Agents cannot file a ticket or ask a colleague when they hit a governance wall. They work with what is in front of them. If the data is not accessible, understood, and governed, the agent cannot help.
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The semantic layer is the deciding factor
In our opinion, the most important finding in this report is a Strategic Planning Assumption: “By 2028, 60% of agentic analytics projects relying solely on MCP will fail due to the lack of a consistent semantic layer.” (Gartner, Market Guide for Agentic Analytics, February 9, 2026.) This should be on every D&A leader’s radar. Most agentic analytics deployments today connect agents directly to data sources through MCP. The connection works. The answers are often unreliable, because raw data without a semantic layer gives agents no shared context for what the data means. Dremio’s AI Semantic Layer addresses this directly: it unifies business definitions, labels, and context across every connected source, so every agent, regardless of the LLM or tool it uses, draws from the same trusted interpretation. Gartner puts it plainly: “Semantic and policy alignment is foundational for effective agentic analytics.” (Gartner, Market Guide for Agentic Analytics, February 9, 2026.)
Built for agents, not adapted for them
Differentiation in this market comes down to depth of semantic modeling, integration with operational systems, and governance maturity. These are not features you bolt on. They require an architectural commitment made early. Dremio was built Iceberg-native from day one, co-creating Apache Polaris and Apache Arrow, and designing federation without ETL as a core capability, not an integration. While many ABI vendors are now racing to add agentic layers to platforms built before this era, Dremio started as a data platform and built AI on top. That sequence matters. When agents connect through Dremio’s one-click MCP integrations or the built-in analyst agent, they are working with governed data from the first query.
What customers say
The Gartner® Market Guide for Agentic Analytics is an analyst research publication, not a user satisfaction survey, so there are no direct user quotes to pull from. What it does offer, according to us, is a clear signal from independent research about where this market is heading and what it requires. Being included among approximately 37 vendors is a recognition we take seriously. To us, it reflects the work of a lot of people at Dremio who have been building for this moment, and it confirms that the Agentic Lakehouse is the right architecture for what comes next.
Read the report
The Gartner® Market Guide for Agentic Analytics, published February 9, 2026, covers approximately 37 vendors across the emerging agentic analytics market, authored by Deepak Seth, Georgia O’Callaghan, Fay Fei, and Jeroen Cornelissen. Download the report to see the full market analysis and the Gartner recommendations for D&A leaders evaluating platforms today.
GARTNER is a trademark 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.
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