Biomedical waste, including infectious, pathological, sharps, pharmaceutical, chemical, and radioactive materials, poses significant risks to human health and the environment. Mismanagement leads to public health issues, environmental contamination, and economic costs. As healthcare services expand globally, the growing volume of waste highlights the need for advanced solutions. This study examines the role of integrating AI, IoT, cloud computing, and big data analytics to enhance waste management practices’ efficiency, precision, and sustainability. It also explores global regulations and presents case studies of successful technologies, showcasing improvements in efficiency, cost-effectiveness, and compliance while reducing safety risks and environmental impacts.