SaaS spend per employee
2026 SaaS Spend per Employee: Benchmarks, rightsizing and growth trends
Annual software expenditure per head has started climbing again after a long plateau. SaaS spend per employee held flat at $9,200 for three consecutive quarters through Q1 2026, but Vertice's Q2 2026 data shows it has now risen to $9,324 – an increase of 1.3%, and the first quarter-over-quarter rise in over a year.
Why did SaaS spend per employee increase in Q2 2026?
This uptick lines up closely with several pressures Vertice flagged as likely to push costs higher:
- SaaS inflation pressure: SaaS inflation accelerated sharply through Q2 2026, reaching 16.4% in June – the highest monthly rate on record. Without active contract negotiation, rising vendor prices translate directly into higher per-employee costs, even with headcount held flat.
- The "AI premium" impact: As AI features continue to move from free trials to paid add-ons, the base cost of equipping employees with the relevant tools is increasing.
- Unaddressed waste: With 14% of apps unused and 51% underutilized, much of the average tech stack remains inefficient. As more vendors shift to usage-based pricing, this inefficiency becomes increasingly costly, adding further upward pressure on the per-employee figure.
Will per-employee software costs rise further in 2026?
With SaaS inflation still accelerating and vendors continuing to charge separately for AI capabilities, per-employee spend is likely to keep climbing through the rest of 2026 unless organizations actively negotiate renewals and address unused licenses. Pricing benchmarks and usage analytics are the two most direct levers for keeping per-employee costs in check even as vendor prices rise.
Data source: These insights are derived from o5bn of global processed spend managed by Vertice in 2026.
Are you overpaying for SaaS?
Are you overpaying for SaaS?
Join the community
.webp)
The need-to-knows about Vertice
As of Q2 2026, average SaaS spend per employee reached $9,324, up from $9,200 in Q1 2026 – a 1.3% increase after three consecutive flat quarters.
Two levers matter most: optimizing what's already being spent, and eliminating what shouldn't be spent at all. On the optimization side, pricing benchmarks help ensure renewals reflect current market rates, while AI cost optimization tools do the same for consumption-based AI spend, which is harder to forecast and easy to overpay for. On the waste side, usage analytics can surface unused licenses and shelfware – tools paid for but never adopted – that quietly inflate the per-employee figure without adding any value.