Automated B2B prospect lists from public place data (fast, serverless)

Automated B2B prospect lists from public place data (fast, serverless) targets a $18.0B = 3.0M sales teams x $6K ACV (annual spend on prospecting/list and lead enrichment tools) total addressable market with high saturation and a year-over-year growth rate of 15% (B2B data & sales-tech consolidation and steady growth in outbound tooling).

Key trends driving demand: API-first business data -- public and commercial APIs make real-time discovery feasible and low-cost; Serverless adoption -- reduced ops and faster release cycles let small teams ship high-quality UIs and pipelines fast; AI-driven enrichment -- models now automate dedupe, title inference and contact enrichment at scale; Privacy & third-party cookie changes -- push companies back to deterministic contact lists and first-party signals; Verticalization -- buyers prefer pre-built vertical datasets and outreach sequences for higher conversion.