Make app-to-app automation that writes and maintains AI-driven workflows

Make app-to-app automation that writes and maintains AI-driven workflows targets a $12.0B = 2M businesses × $6K ACV (annual value of automation tooling and managed workflow services across SMB and mid-market globally) total addressable market with high saturation and a year-over-year growth rate of 24% YoY (Gartner/Forrester estimates for iPaaS and automation market growth, 2022-2025).

Key trends driving demand: LLM-assisted development — Large language models now enable non-technical users to describe workflows in natural language and get structured automation outputs, lowering the creation barrier.; SaaS proliferation — The steady increase in SaaS adoption increases cross-app integration needs, creating demand for easier automation authoring and maintenance.; Observability and reliability focus — Companies are prioritizing automation observability and remediation after experiencing fragile workflows that break with app updates, creating demand for monitoring and self-healing.; Shift to no-code + AI — Businesses are looking for no-code solutions that leverage AI to remove technical bottlenecks and reduce dependency on engineering..