Method for predictive wear analysis of a component in use on a vehicle, in particular an industrial or commercial vehicle, characterized in that it comprises the following steps: - initialization: parameters are provided for said component to be analyzed, identifying at least: start of life characteristics; end of life characteristics; warning and end of life thresholds of the component; vehicle mission type and configuration coefficients; - data acquisition: measurements of magnitudes relative to said components in use are performed at regular and predetermined time intervals, which are statistically accumulated; - updating and saving in statistical accumulators: storing of the measurements performed as events occurring at the times of detection, i.e. the number of times said measurements fall within thresholds of predetermined values; - projection and check of the residual life of the component: the residual life values, or their inverses the wear levels, are logged; a wear rate is calculated on the total of said values and an estimated value of the residual life of the component is obtained correlating it to residual operating values, said step for projection and check of the residual life of the components comprises the steps of: - projection of the residual life of the component: said measurements performed are interpreted analytically through statistical calculation, by means of which a mathematical function "f(vehicle measurements)" is determined, which expresses a deterioration model, that is, indicating the residual life of the component; - checking whether the residual life of the component is nearing its end: said values indicating residual life, or their inverses the levels of wear, are in turn logged, storing successive samples of the estimations, at least the most recent ones, of the various values of the function "f(vehicle measurements)"; a wear speed is determined from the total of said successive values, and therefore a prediction of when the residual life value will exceed a predetermined end of life threshold, thus obtaining said estimated value of the residual life of the component, characterized in that in the case of vehicle clutch component, said mathematical function "f(vehicle measurements)" is determined on the basis of the following functions, obtained from analyzing the data stored in said statistical accumulators: Δmm 3 lost for each cycle = f driving style * MJ involved or Δmm 3 lost for each cycle = f vehicle mission * f energy involved * f T clutch use = f vehicle measurements Wherein - "energy involved" is a finite quantity of energy, - the function f(vehicle mission) providing the indication of the type of vehicle mission travelled is a corrective coefficient - f(vehicle measurements) is a deterioration model. - initialization: parameters are provided for said component to be analyzed, identifying at least: start of life characteristics; end of life characteristics; warning and end of life thresholds of the component; vehicle mission type and configuration coefficients; - data acquisition: measurements of magnitudes relative to said components in use are performed at regular and predetermined time intervals, which are statistically accumulated; - updating and saving in statistical accumulators: storing of the measurements performed as events occurring at the times of detection, i.e. the number of times said measurements fall within thresholds of predetermined values; - projection and check of the residual life of the component: the residual life values, or their inverses the wear levels, are logged; a wear rate is calculated on the total of said values and an estimated value of the residual life of the component is obtained correlating it to residual operating values, - projection of the residual life of the component: said measurements performed are interpreted analytically through statistical calculation, by means of which a mathematical function "f(vehicle measurements)" is determined, which expresses a deterioration model, that is, indicating the residual life of the component; - checking whether the residual life of the component is nearing its end: said values indicating residual life, or their inverses the levels of wear, are in turn logged, storing successive samples of the estimations, at least the most recent ones, of the various values of the function "f(vehicle measurements)"; a wear speed is determined from the total of said successive values, and therefore a prediction of when the residual life value will exceed a predetermined end of life threshold, thus obtaining said estimated value of the residual life of the component, - "energy involved" is a finite quantity of energy, - the function f(vehicle mission) providing the indication of the type of vehicle mission travelled is a corrective coefficient - f(vehicle measurements) is a deterioration model.