The Newton-Raphson Method is an iterative numerical technique used to find successively better approximations to the roots (or zeroes) of a real-valued function. It leverages the function's derivative to converge quickly, making it highly efficient for well-behaved functions, although it may fail to converge for functions with certain characteristics, such as discontinuities or inflection points.