Heavy-tailed distributions are probability distributions whose tails are not exponentially bounded, meaning they have a higher likelihood of producing extreme values compared to light-tailed distributions. They are crucial in fields like finance and insurance, where they model rare but impactful events such as market crashes or catastrophic losses.