The Agentic AI Telemetry Crisis
New research from 300+ enterprise IT leaders. Here's what Apica's CPTO says it means for what's coming next.
Join Apica Chief Product and Technology Officer Andi Mann for a live walkthrough of the findings. He'll cover what's driving the data explosion, why the cost curve is breaking, and what the organizations pulling ahead are doing differently.
Omdia and Informa TechTarget surveyed 300+ enterprise IT decision-makers on how ready their organizations really are for the agentic AI data surge. The numbers are stark: 54% saw telemetry data triple in the past year, and agentic AI is expected to multiply it another 9.5x. Observability costs already exceed compute costs on 69% of agentic AI projects, and 59% of enterprises have already terminated or delayed a deployment because monitoring costs got too high.
What you'll learn
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Why 54% of enterprises saw telemetry data triple in the last 12 months, and what's coming next
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Why observability now outspends compute on the majority of agentic AI projects
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What separates the enterprises 50% more likely to be prepared for 6x+ data growth from everyone else
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The specific pipeline capabilities buyers are prioritizing in 2026
Andi Mann
Chief Product and Technology Officer, Apica
The gap between enterprises that thrive with AI and those that struggle comes down to data readiness. Agentic Ready isn't a product feature. It's an infrastructure decision you make now.
20+ years building enterprise infrastructure at BMC Software, Splunk, and CA Technologies.
