Bayes' factors are important in Bayesian hypothesis testing, helping to compare different hypotheses based on data. They show how the odds between hypotheses change from before to after considering the data. When testing simple hypotheses, Bayes' factors are the same as likelihood ratios. They are used to calculate the strength of evidence for or against a hypothesis.