Market Insight: Rethinking SaaS Pricing Models In An AI Age

Executive Summary

This report supports senior strategy, product and commercial leaders at enterprise Software as a Service (SaaS) vendors as they reassess pricing strategy in response to the rapid expansion of generative and agentic AI capabilities. It examines how AI is fundamentally disrupting enterprise SaaS pricing, pushing the market beyond long‑established seat‑based and tiered models, towards structures better aligned with variable costs and agent-based value creation. The report shows that variable inference costs, rising AI R&D costs and the emergence of agents are breaking the traditional link between value and users, rendering static pricing models increasingly unsustainable. In response, the market has entered a phase of widespread experimentation, with hybrid consumption‑based, agent‑linked and outcome‑oriented pricing models gaining traction, but no clear consensus yet established. The research provides a framework to help software vendors choose the right pricing model by delivering a comprehensive assessment of decision drivers, emerging pricing models and the critical design questions vendors must resolve to implement pricing structures that align with evolving AI economics.