Isotonic regression is a non-parametric technique used to fit a non-decreasing function to data, preserving the order of the dependent variable. It is particularly useful in scenarios where the relationship between variables is assumed to be monotonic but not necessarily linear, allowing for more flexibility in modeling data trends.