To ensure a robust, reliable and durable product, predicting useful life of aggregates at the concept stage is a very important aspect in the any product design. This requirement is very much necessary in today's environment, wherein the customer expectations are increasing and allow-able development time for reliable product is decreasing. Clutch is one of the important aggregate in an Automobile having Manual Transmission, which acts like a fuse in the driveline system wherein its wear & tear cannot be avoidable. The performance of Clutch is correlated with its useful life. In this paper, a unique methodology is formulated for the prediction of useful clutch life. Actual field data like warranty, type of failure, etc on a typical utility vehicle platform has been captured for over 3-4 years which have been operating on Indian roads. With the help of data analysis, beta life of clutch, for a given vehicle configuration has been calculated using statistical approach. Based on statistical data analysis, a relation between the beta life & vehicle parameters influencing the wear and tear of clutch like heat stress, has been formulated. This approach can be used as a design guideline to predict usable clutch life in the design stage with a fair amount of reliability. Keywords - clutch life, statistical approach, heat stress, clutch wear & tear, beta life, driving conditions, vehicle parameters.