Auto-detect CSV ML tasks and auto-train models for non-experts

Auto-detect CSV ML tasks and auto-train models for non-experts targets a $25.0B = 100M SMBs x $250/year (basic auto-ML analytics subscription) total addressable market with medium saturation and a year-over-year growth rate of 22%.

Key trends driving demand: Democratization of AI -- non-experts demand no-code tools to extract value from data without hiring data scientists.; AutoML maturity -- automated feature engineering and model selection have improved, enabling reliable baseline models.; Embedded analytics -- companies want simple ML models embedded into existing apps and spreadsheets for faster adoption.; Edge/efficient models -- demand for lightweight, fast models for low-cost inference on small datasets reduces infra barriers..