Make product-aware AI agents that understand app state and workflows

Make product-aware AI agents that understand app state and workflows targets a $6.0B = 100,000 product-focused SaaS & internal-app teams × $60K ACV for AI-agent tooling and annual integration services total addressable market with medium saturation and a year-over-year growth rate of 30% YoY — external estimates for enterprise AI tooling and developer AI adoption (Forrester/Gartner summaries of 2023–2025 market growth).

Key trends driving demand: In-product AI adoption — More SaaS vendors are embedding assistants, creating demand for standardized, secure integrations.; Shift to function-calling and RAG — LLMs with reliable function-calling and retrieval make safe action execution and data-driven responses technically feasible.; Developer-first tooling wins — Open-source SDKs and reference implementations accelerate adoption by engineering teams who prefer control over black-box hosted copilots.; Privacy & permission concerns — Customers demand permission-aware agents and audit trails, pushing teams to adopt frameworks that handle security patterns..