Why is Random Forest considered a non-parametric model?

It does not assume a fixed functional form for mapping inputs to outputs.

Random Forest grows decision trees that adapt structure based on data complexity. Unlike parametric models, it does not learn a fixed number of parameters but instead grows structure dynamically based on splits.