An acquisition function is a crucial component in Bayesian optimization that guides the search for optimal solutions by evaluating the potential utility of sampling new data points. It balances exploration and exploitation to efficiently navigate the search space, often in scenarios where evaluating the objective function is costly or time-consuming.