Loss of team knowledge — AI capture, context, and searchable retrieval

Loss of team knowledge — AI capture, context, and searchable retrieval targets a $48.0B = 500M knowledge workers x $96 ARR per user (global addressable knowledge-work seat market) total addressable market with medium saturation and a year-over-year growth rate of 18% CAGR for knowledge-management and collaboration tools; AI-enabled workflows growing faster (25-40%).

Key trends driving demand: Large-language-models -- enable accurate summarization and conversational access to unstructured team knowledge, lowering friction to adopt search-as-chat.; Remote & hybrid work -- raises the cost of knowledge loss and increases demand for centralized, searchable team memory.; API-first SaaS ecosystem -- widespread connectors (Slack, Zoom, Drive, Git) make automated capture and enrichment feasible at scale..