Outlier detection is a subfield of data science and statistics focused on identifying observations that deviate significantly from the expected pattern or distribution of the majority of the data. This process is crucial for revealing anomalies, errors, or novel insights within datasets across various domains, impacting data quality, security, and scientific discovery.