Automating complex app logic with agentic AI runtimes and orchestration

Automating complex app logic with agentic AI runtimes and orchestration targets a $150B = 200M businesses x $750 annual spend on automation, developer platforms, and AI runtime subscriptions total addressable market with medium saturation and a year-over-year growth rate of 35%+ (enterprise automation & AI platform growth).

Key trends driving demand: LLM tool-use & multip-step planning -- LLMs increasingly execute external tools which enables full app flows rather than single responses; Vectorization + retrieval augmentation -- searchable memory makes agents stateful and more accurate over long tasks; Serverless & edge compute -- cheaper runtimes allow real-time agent execution embedded in apps; Developer-first AI frameworks -- frameworks (LangChain, LlamaIndex) accelerate integration and lower time-to-market.