This work presents a comprehensive review of biomedical named entity recognition, a critical component for effective information extraction and knowledge discovery within this specialized domain. The study delves into the methodologies, challenges, and advancements that have shaped the field of biomedical NER, tracing its evolution from traditional dictionary-based and rulebased approaches to the adoption of advanced machine learning and deep learning algorithms. The analysis also explores emerging trends that position NER as a pivotal technology, underscoring its significance at the intersection of healthcare, research, and technology. By emphasizing the pivotal role of NER in the biomedical field, this detailed examination underscores the importance of continued research and development to drive further advancements in healthcare, scientific discovery, and knowledge management.