Austin, Texas, USA, February 25, 2026
Futurum Releases 2025-2031 Data Intelligence Forecast; Semantic Layer Identified as the Fastest Accelerating Segment, Critical for Agentic AI
As enterprises move from experimental AI chatbots to autonomous agents, the Semantic Layer is projected to undergo a “rocket ship” growth trajectory, doubling its growth rate from 16.0% in 2026 to 30.0% by 2031, according to new market sizing data from The Futurum Group. While foundational segments like Data Storage and Data Engineering show steady, mature growth, the Semantic Layer—the technology that defines business metrics and data ontologies—is breaking away from the pack (see Figure 1). The forecast indicates that organizations are increasingly recognizing that Large Language Models (LLMs) cannot operate reliably in a business context without a unified “dictionary” to ground them.
Figure 1: Semantic Layer Forecasted YoY Growth (2025–2031)

Brad Shimmin, VP & Practice Lead for Data Intelligence, Analytics, and Infrastructure at Futurum, said, “We are witnessing a fundamental re-invention of the Semantic Layer. Historically viewed as a ‘nice-to-have’ helper for Business Intelligence dashboards, it is graduating to critical infrastructure status. If you want an AI agent to execute a trade or adjust pricing autonomously, it must understand exactly what ‘Gross Margin’ means. Without a semantic layer, you don’t have agents; you have hallucination engines.”
The data highlights a distinct divergence in the market:
- The “Rocket Ship” Effect: The Semantic Layer is the only segment in the forecast to accelerate its growth rate each year for seven consecutive years, driven by the desperation to fix AI reliability issues.
- Decoupling from BI: While “Business Intelligence & Reporting” growth slows to 7.0% by 2030, the underlying logic is migrating to the Semantic Layer. The value is moving from the *visual* dashboard to the *logical* metric store.
- Infrastructure for Autonomy: The acceleration correlates directly with the expected maturity of Agentic AI. As agents move into production (2027-2029), the demand for governable, metric-centric data access explodes.
This shift is more than just a narrative change. It is visible in the structural rotation of capital. Our 2025–2031 forecast reveals a structural rotation of capital away from legacy plumbing (Data Integration growing ~10–12%) toward intelligence infrastructure (Semantic Layer and Observability growing >20%).
“The rapid rise of the Semantic Layer illustrates just how critical AI has become for data professionals. Our data shows that the ‘Data Technician’ era is rapidly evolving into the ‘AI Shepherd’ era,” noted Shimmin. “Companies are realizing they can’t just dump raw data into a vector database and hope for the best. To optimize for success, IT leaders need to shift budget from Day 1 ingestion tasks to Day 2 semantic governance. If your data doesn’t have a reliable and repeatable meaning attached to it, your AI is flying blind.”
The forecast suggests that by 2031, the Semantic Layer will likely be the fastest-growing sub-segment in the entire Data Intelligence stack, expanding at an average of 22-24% annually and surpassing even “Data & AI Observability” as the primary control plane for the AI-driven enterprise.
Read more in the report “1H 2026 Data Intelligence, Analytics, & Infrastructure Market Sizing & Five-Year Forecast Report” on the Futurum Intelligence Platform.
About Futurum Intelligence for Market Leaders
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Other Insights from Futurum:
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The Semantic Layer Wars: Why BI Must Remain the Center of Gravity for Trusted AI
Snowflake Acquires Observe: Operationalizing the Data Cloud
Author Information
Brad Shimmin is Vice President and Practice Lead, Data Intelligence, Analytics, & Infrastructure at Futurum. He provides strategic direction and market analysis to help organizations maximize their investments in data and analytics. Currently, Brad is focused on helping companies establish an AI-first data strategy.
With over 30 years of experience in enterprise IT and emerging technologies, Brad is a distinguished thought leader specializing in data, analytics, artificial intelligence, and enterprise software development. Consulting with Fortune 100 vendors, Brad specializes in industry thought leadership, worldwide market analysis, client development, and strategic advisory services.
Brad earned his Bachelor of Arts from Utah State University, where he graduated Magna Cum Laude. Brad lives in Longmeadow, MA, with his beautiful wife and far too many LEGO sets.
