Stillbirth is a complex event with significant psychological and clinical implications. This chapter explores the multifaceted aspects of stillbirth, focusing on its causes, risk factors, classification, evaluation, prediction, and prevention. The primary objective is to enhance understanding and provide insights into effective prevention strategies. Stillbirth is attributed to maternal health conditions, placental abnormalities, fetal genetic disorders, and various risk factors like advanced maternal age, obesity, and smoking. However, differentiating between causes and risk factors remains challenging. Globally, stillbirth definitions and classifications vary, complicating data collection and prevention efforts, particularly in low-resource settings. The lack of standardized classification systems limits the ability to link stillbirths to actionable prevention strategies. Evaluation methods emphasize maternal history, placental pathology, autopsy, and genetic testing, although access to such diagnostics is often limited. Prediction strategies focus on identifying high-risk pregnancies using ultrasound markers, Doppler studies, and biochemical markers like pregnancy-associated plasma protein A (PAPP-A) and placental growth factor (PlGF), though their predictive value is limited. Advancing stillbirth prevention requires improving antenatal care, developing accessible diagnostic tools, and addressing disparities in healthcare systems. This chapter underscores the need for interdisciplinary approaches and solutions to reduce stillbirth rates and improve maternal–fetal outcomes globally.