Gartner warns $234 billion SaaS market at risk from agentic AI

Gartner predicts that up to $234 billion of global enterprise‑application software spend – roughly one‑fifth of the SaaS market – could be disrupted by “agentic arbitrage” by 2030. The phenomenon involves autonomous AI agents that execute end‑to‑end workflows across multiple systems, bypassing traditional user interfaces and breaking the link between user growth and revenue that underpins seat‑licensing models.

The shift forces incumbent software vendors to move from interface‑driven, licence‑based pricing to outcome‑based offerings and to embed agentic capabilities directly into their products. At the same time, AI‑native startups and service providers see a revenue opportunity by supplying the orchestration layer and the required knowledge‑capture infrastructure. Separate cost analysis estimates that token consumption for agentic workflows translates to annual operating expenses of $1,000‑$4,000 per agent, with total system costs potentially two‑to‑five times higher when infrastructure and governance are included.