⚡ NEW REPORT The Agentic AI Telemetry Crisis: Are You Ready For What's Coming? Get the report
New Research · June 2026

The Agentic AI Telemetry Crisis

Are you ready for what's coming?

A new Omdia survey of 300+ enterprise IT decision-makers confirms what many already suspect: the telemetry data explosion is here, agentic AI is accelerating it, and most organizations aren't ready. This report tells you exactly what the prepared ones are doing differently.

83% of enterprises ranked AI observability a top priority for 2026
69% say observability costs for agentic AI now exceed their compute costs
Pipeline adopters are 50% more likely to be ready — are you?
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300 respondents Global · March 2026 Research by Omdia
0%
of enterprises saw telemetry data triple in the past 12 months — average increase of 3.7×
Ch. 1 · The explosion
expected average telemetry growth from agentic AI workloads within 2 years — 44% expect 6×–100×
Ch. 2 · The agentic accelerant
$0M
average annual enterprise observability spend — growing 28% year-over-year with no natural ceiling
Ch. 3 · The cost crisis
By the numbers

The gap between deployed and ready is bigger than most expect.

Costs are broken
69%
observability costs for agentic AI projects now exceed compute and infrastructure costs
Even leaders aren't ready
59%
have already terminated or delayed at least one agentic AI deployment because monitoring costs were too high
The pipeline fixes it
50%
pipeline adopters are 50% more likely to be prepared for 6x+ data growth
The market already knows it
97%
have implemented or are considering a telemetry pipeline solution
Full report
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Research highlights

Three things the data made impossible to ignore.

A preview. The full data is in the report.

Finding 01 — Cost pressure

Observability budgets are growing faster than the AI they're supposed to support

89% of organizations cite telemetry data growth as the primary driver. See the full cost breakdown in the report.

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Finding 02 — Agentic AI readiness

Deployment is outpacing infrastructure. By a lot.

35% claim widespread agentic AI deployment — but the data on actual readiness tells a different story. It's in the report.

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Finding 03 — Risk exposure

Paused AI deployments aren't just a missed opportunity — they're a liability

The research quantifies the cybersecurity, compliance, and fraud detection exposure organizations face when observability costs force deployment decisions. The full risk data is in the report.

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Who is this for?

Written for the people who own the pipeline decision

If your team is responsible for observability infrastructure, AI readiness, or technology spend — this research is directly relevant to your next 12 months.

VP Infrastructure
Head of Platform Engineering
Head of Observability
Senior Observability Engineer
CISO
Head of Security Operations
Director of IT Operations
IT Director
What to do now

Three questions every enterprise needs to answer today.

The research points to a clear path. Here's where to start.

01

How prepared is your telemetry infrastructure for a 9.5× data surge?

If you don't have a pipeline-first architecture, you're not ready. Organizations without a telemetry pipeline are significantly less prepared and significantly more exposed to cost, compliance, and operational risk as agentic AI workloads scale.

02

Are your observability costs under control — or are they controlling you?

With observability budgets growing 28% year-over-year and 69% of enterprises reporting that observability now costs more than compute for their AI projects, cost management is no longer optional. A telemetry pipeline that reduces what reaches your observability platform is the primary lever you have.

03

Are you in the evaluation window — or being evaluated out of it?

70% of enterprises are evaluating telemetry pipeline solutions in the next six months. If you're not in those conversations, your competitors are.

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Ready to see where your pipeline stands?

300 organizations. 5 chapters. Analyst commentary from Omdia. Free to download — fill in your details and we'll send it over.

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Omdia