Unify fragmented enterprise data via agentic RAG + conversational BI

Unify fragmented enterprise data via agentic RAG + conversational BI targets a $24.0B = 120,000 mid-large enterprises x $200K ACV (enterprise BI + AI engineering spend) total addressable market with medium saturation and a year-over-year growth rate of 28% combined CAGR for AI-enabled analytics and developer tooling.

Key trends driving demand: Agentic automation -- multi-step LLM agents allow programmatic workflows across tools and data sources, enabling end-to-end answers and actions.; RAG adoption -- enterprises demand grounded LLM outputs linked to source evidence and lineage for trust and compliance.; Vector infrastructure maturation -- hosted vector DBs and scalable embedding pipelines lower latency and cost barriers for production RAG.; Demand for conversational UX -- users prefer natural-language access to KPIs and exploratory analysis over static dashboards..