AI workflows waste time — orchestrate RAG + automations to scale output

AI workflows waste time — orchestrate RAG + automations to scale output targets a $90.0B = 300M knowledge workers x $300/year AI-workflow tooling total addressable market with medium saturation and a year-over-year growth rate of ~35-45% driven by AI adoption and SaaS consolidation.

Key trends driving demand: RAG & vector DBs -- enterprise-grade retrieval makes context-rich, repeatable workflows possible; Composable LLM APIs -- pay-as-you-go LLMs + chains lower dev cost and speed iteration; No-code/low-code orchestration -- business users can assemble AI flows without engineers; Enterprise AI procurement -- IT/Procurement now budgeting for managed AI tooling and governance.