"By 2028, 60% of self-service analytics users will use general-purpose LLMs for ad hoc and exploratory analysis, while production-grade reporting will remain in traditional ABI platforms."
— Gartner, Predicts 2026: AI Agents, MCP and Governance are Transforming Analytics
This shift signals a major transformation in how organizations consume analytics—and 2026 is where that acceleration begins.
Download the full exclusive report to explore Gartner’s key findings, market implications, and recommendations for 2026, including:
How AI agents will reshape analytics workflows by introducing autonomous capabilities that deliver faster, more accurate insights without requiring manual coding.
Why a semantic layer is essential alongside MCP because it provides the consistency and governance capabilities needed to support scalable agentic analytics.
How unguarded LLM decision-making creates significant risks, and why organizations need guardrail and validation capabilities to prevent costly mistakes.
Why content-related AI risks are shifting into engineering as teams take on the safety and compliance capabilities required to manage AI responsibly.
