Mean Field Theory is an analytical technique used in statistical physics and various fields to simplify complex systems by averaging the effects of all individual components, allowing for the study of macroscopic properties without solving the full microscopic details. It assumes that each component of the system experiences an average effect from the others, making it particularly useful for understanding phase transitions and critical phenomena.