Infinite-dimensional stochastic processes is a mathematical framework for studying random phenomena evolving in state spaces that are infinite-dimensional vector spaces, such as function spaces or spaces of distributions. This field investigates the probabilistic dynamics, trajectories, and statistical properties of systems characterized by infinitely many degrees of freedom, often providing the theoretical basis for analyzing phenomena modeled by stochastic partial differential equations in fields ranging from physics to finance and biology.