Headline IT-spend-as-percent-of-revenue figures hide more than they reveal. A capital-intensive manufacturer with high revenue per employee will show a lower IT-spend-per-employee figure than a professional-services firm with identical IT governance, simply because its revenue base is larger. Industry context is essential. This benchmark report provides it for six verticals and eight metrics.
The master benchmark table
| Metric | Fin Svcs | Healthcare | Mfg | Retail | Tech | Govt |
|---|---|---|---|---|---|---|
| IT spend as % of revenue | 6.5–7.5% | 3.2–4.1% | 1.8–2.4% | 1.9–2.6% | 8.5–11% | 5.5–7.8% |
| Cloud as % of total IT | 38–44% | 34–40% | 28–34% | 36–42% | 52–60% | 22–30% |
| IT spend per employee | $11,200 | $6,400 | $4,800 | $4,200 | $14,600 | $8,100 |
| Run-vs-change ratio | 70:30 | 74:26 | 77:23 | 72:28 | 62:38 | 80:20 |
| Cost allocation accuracy | 72% | 65% | 61% | 63% | 68% | 58% |
The three comparisons that matter
Most organizations use benchmark tables in one of three ways. The first — comparing your number to the median — is the most intuitive but the least informative. A single point comparison rarely reveals what an executive actually needs to know.
The second — comparing your trajectory to the benchmark trajectory — is more useful. An organization moving from lagging toward median over three years is on a healthier path than one that arrived at top quartile two years ago and has stayed flat. Direction beats position when the question is whether the operating model is improving.
The third — comparing your mix to the benchmark mix — is the most diagnostic, because mix differences reveal structural choices, not just efficiency levels. A financial services firm spending 6.2% of revenue on IT is below the industry median. But if 60% of that spend is cloud (above median), the run-vs-change ratio is 65:35 (significantly above median), and cost allocation accuracy is 88% (well above median), the below-median total is almost certainly a sign of exceptional efficiency rather than underinvestment. Context always matters more than the headline number.
The defining metric per industry
The single most diagnostic metric varies by industry. Knowing yours is what makes the rest of the benchmark table useful.
Financial services: run-vs-change. The defining sign of IT health in a sector where technology is increasingly the product. Top-quartile FinServ organizations sit at 60:40 or better — meaningful change capacity even after run obligations are met.
Healthcare: EHR cost-share. Where the EHR consumes 40%+ of total IT spend, almost no investment capacity remains for anything else. The healthiest healthcare organizations have actively worked the EHR-share number down.
Manufacturing: OT-as-IT integration. The boundary between operational technology and information technology is the most consequential cost question in manufacturing. Treating OT and IT as one estate produces dramatically different governance answers than treating them as two.
Retail: e-commerce vs. store technology allocation. Most retailers are now structurally hybrid. Allocation between digital and physical channels is the single most political question in the IT budget conversation.
Technology: cloud cost-per-customer. When the product runs on cloud, unit economics determine company viability. Top-quartile tech companies treat this as a board-level metric.
Government: legacy system age. The proxy for everything else. Estates with 30-year-old systems carry compounding cost, security, and continuity risk that headline budget figures rarely show.
How to use a benchmark well?
The organizations that get the most value from benchmarking treat the numbers as questions, not answers. The right question is, "Why does our number differ from the benchmark?" not "Does it?" A below-median number can mean efficiency or underinvestment; an above-median number can mean strategic investment or unmanaged sprawl. The narrative behind the number is what the CFO actually wants to hear, and what the board actually needs to govern. Benchmarks set up the conversation; they don't finish it.
Key takeaways
- Headline benchmarks lie. A below-median total can mean efficiency or underinvestment depending on the mix.
- Three comparisons matter — to median, to trajectory, to mix. The mix comparison is the most diagnostic.
- Each industry has a defining metric. Run-vs-change for financial services, EHR-share for healthcare, legacy age for government.
- Trend matters more than position. An organization moving from lagging to median is healthier than one stuck at top quartile.
- Use benchmarks for questions, not answers. The right question is ‘why does our number differ’ — not whether it does.