The death of SaaS has been greatly exaggerated

· Source: Ramp Economics Lab · Field: Business & Management — Corporate Strategy & Leadership, Project & Product Management, Artificial Intelligence & Machine Learning · Depth: Intermediate, quick

Summary

Ramp data indicates that the widely discussed "SaaSpocalypse" — a predicted shift from per-seat to outcome or usage-based pricing for SaaS due to AI agents — has not materialized. Analysis of a 200+ vendor panel, including major players like Salesforce, Adobe, and HubSpot, reveals that seat-based contracts still account for 65-75% of spend. Flat platform subscriptions make up 20-30%, while consumption-based spend remains low at 4-6%, with these proportions showing minimal change over the past twelve months. For instance, 99% of Adobe's bills are seat-based, with AI credits and API calls being negligible. Similarly, HubSpot's revenue from usage-based products like Breeze AI, launching in spring 2025, is currently less than 2%. This suggests that claims about the imminent demise of traditional SaaS pricing are premature, reflecting industry aspirations more than current buyer behavior.

Key takeaway

For AI Product Managers or SaaS strategists evaluating pricing models, your current customer base largely adheres to seat-based contracts. Do not prematurely pivot to usage-based pricing solely based on industry narratives about AI agents, as Ramp data shows minimal buyer behavior shift. Instead, focus on deeply understanding your specific customer's value perception and willingness to adopt new billing structures, as existing consumption-based offerings remain a minor revenue component for traditional vendors.

Key insights

Despite AI agent discourse, traditional SaaS pricing remains predominantly seat-based, not usage-driven.

Principles

In practice

Topics

Best for: Investor, Entrepreneur, Product Manager, Director of AI/ML, AI Product Manager, Consultant

Related on AIssential

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Ramp Economics Lab.