planned AI investment across multiple infrastructure areas
The report says AI cost management increasingly spans cloud, SaaS and data centers.
State of FinOps 2025 · 2025 ↗Updated 2026-10-04 · Cloud economics
Cloud cost and FinOps
cost and efficiency statistics.
A source-first view of unit economics, waste and the engineering effort needed to operate the capability. Published findings provide context; the measurement framework shows what to calculate inside your own environment.
01 / Published evidence
What the public data says.
Each figure links directly to the organization that published it. Vendor telemetry and community surveys are labelled rather than blended into one invented industry average.
global average breach cost
IBM reported this global average in its 2026 Cost of a Data Breach research.
IBM 2026 Cost of a Data Breach · 2026 ↗reported adopting cloud-native techniques
CNCF described cloud-native adoption as near-universal among surveyed organizations.
CNCF Annual Cloud Native Survey · 2026 ↗02 / Your baseline
Measure the system you actually run.
Use these formulas consistently for at least one complete operating cycle. Keep scope, exclusions and collection dates beside the result.
Unit operating cost
Monthly attributable cost ÷ active workloads or services
Avoidable spend ratio
Verified waste ÷ total attributable spend × 100
Engineering effort
Monthly engineer hours spent on routine operation and remediation
03 / Interpretation
A number without a denominator is decoration.
Segment results by environment, workload owner and business criticality. A falling average can hide one critical service getting worse; a rising count can simply reflect better discovery.
- Record the source system and collection window.
- Separate discovered, in-scope and actively managed populations.
- Keep medians and tail values where averages hide risk.
- Annotate architecture, policy and tooling changes.
- Recalculate after remediation instead of closing on intent.
Related benchmarks
Look at the adjacent signal.
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