SaaS Industry Structure in the AI Era
Per-seat collapse, usage-based transition, data moat formation — how AI is restructuring the SaaS industry itself.
The SaaS industry faces a fundamental revenue model inflection point driven by AI agent proliferation. As per-seat models weaken and usage/outcome-based pricing emerges, the bifurcation between data-moat platforms and feature-selling tools is accelerating.
Market Size
Global SaaS market: ~$320B in 2025 → projected $820B by 2030 (CAGR ~20%)
Key Trends
Per-seat → Usage/Outcome Shift
Share of companies using outcome-based pricing jumped from 2% to 18% in 2Q25. 37% plan to change their pricing model within a year.
AI Agent Execution Layer Demand
As AI agents scale, structural demand grows for platforms (ServiceNow, Salesforce) that handle execution on legacy systems.
Data Accumulation Platform Bifurcation
Platforms where customer data accumulates become AI substrates; feature-only tools get eaten by AI startups. Gartner projects 35% of point-product SaaS to be replaced by AI by 2030.
Stock-Earnings Divergence
During the 2025 SaaS stock crash, RPO, NRR, and ARR were actually rising. Market fear outran actual fundamentals.