Visual-first home search, natural language image queries to find flats

Visual-first home search, natural language image queries to find flats targets a $1.2B = 4,000 mid-to-large real estate platforms/brokerages x $30K ACV total addressable market with medium saturation and a year-over-year growth rate of 8-12% growth in proptech/listing portal spend and search tooling adoption.

Key trends driving demand: Vision-language models -- improved zero-shot visual search lets users describe visual features instead of relying on tags; Vector databases and managed embedding services -- operationally simpler to deploy large scale similarity search in production; Mobile-first discovery -- users increasingly expect camera-driven or image-first search workflows, raising acceptance of visual search for listings; Aggregation of listing photos -- portals and aggregators provide large image corpora that enable training/tuning and faster time-to-market.