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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 / TechTarget / ESG
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 data is in. Most enterprises aren't ready. Here's what the ones who are have in common.

54%
of enterprises saw telemetry volume triple in the past 12 months
9.5×
expected average telemetry growth from agentic AI within 2 years
$3.17M
average annual enterprise observability spend — and climbing fast
97%
have implemented or are considering a telemetry pipeline solution
What the research covers

5 chapters. 38 questions. One clear story.

A preview of what's inside the full report.

Chapter 1 — The explosion
54%
The telemetry data explosion isn't a forecast
More than half of enterprises are already experiencing exponential telemetry growth. AI/ML workloads now account for ~43% of all telemetry data growth.
Chapter 2 — The agentic accelerant
9.5×
Agentic AI is a data volume multiplier
44% expect 6×–100× data growth as agentic AI scales. Organizations 4.5× less familiar with agentic AI are proportionally less prepared.
Chapter 3 — The cost crisis
+28%
Observability costs now exceed AI infrastructure costs
Average observability budgets grew 28% YoY. 69% of enterprises report observability costs for agentic AI projects now exceed compute costs.
Chapter 4 — The pipeline answer
50%
One thing separates the prepared from everyone else
Organizations with a telemetry pipeline are 50% more likely to handle 6×+ data growth. 77–78% report significant cost and quality benefits. This is the answer the data points to.
Chapter 5 — The buying window
70%
The evaluation cycle is open right now
70% plan to evaluate telemetry pipeline solutions in the next 6 months. Nearly 1 in 4 say existing vendor relationships don't factor into their decision.
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Research highlights

Three findings that stood out

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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Inside the full report

There's a lot more in the report

5 chapters. Analyst commentary from Omdia. Benchmark data across verticals and maturity stages.

Telemetry volume benchmarks by vertical
Financial services is already 3.8× ahead. Manufacturing is next. See where your industry sits.
🔒 Full data in report
Agentic AI deployment by maturity stage
What the most advanced organizations are doing differently — and what still isn't solved at full maturity.
🔒 Full data in report
Cost benchmarks and spend breakdowns
$3.17M average. $5M+ for the top 20%. Broken down by company size, vertical, and deployment stage.
🔒 Full data in report
Top pipeline purchase drivers
Multi-destination routing (47%), data reduction (43%), content-based routing (41%) — what buyers prioritize.
🔒 Full data in report
Pipeline vs. no pipeline: the full comparison
Side-by-side readiness data. Mature organizations are 80% more likely to have avoided the operational cost challenges that constrain organizations still in earlier stages of agentic AI deployment.
🔒 Full data in report
The evaluation window: buyer behavior data
68% are evaluating observability changes in 6 months. 1 in 4 don't care about incumbent vendor relationships.
🔒 Full data in report
Who this is 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 / Sr. 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.

54% of enterprises saw telemetry data triple in just 12 months
Organizations expect a 9.5× surge from agentic AI within 2 years
Pipeline adopters are 50% more likely to be ready
Research partner
Omdia
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