What is the role of a kernel function in SVM?

A kernel function is used in SVM to transform data into a higher-dimensional space where it becomes easier to find a linear hyperplane that separates the classes. Common kernel functions include linear, polynomial, and RBF (Radial Basis Function) kernels.