Latent variables are unobserved variables that are inferred from observed data, often used to explain patterns or structures that are not directly measurable. They are crucial in statistical models such as factor analysis, structural equation modeling, and latent class analysis, providing a way to model complex phenomena by capturing hidden influences or traits.