The application segmentation of the Electroencephalography (EEG) Systems market is organized around four primary use cases: Neurology, Sleep Disorders, Brain‑Computer Interface (BCI), and Cognitive Research. Neurology applications dominate the market, encompassing epilepsy monitoring, intra‑operative mapping, and neuro‑intensive care, where high‑resolution, FDA‑cleared systems are indispensable. Sleep Disorders leverage EEG for polysomnography, enabling precise staging of sleep cycles and diagnosis of conditions such as obstructive sleep apnea. Brain‑Computer Interface solutions integrate EEG with real‑time signal processing to translate neural activity into control commands for prosthetics, communication aids, and immersive gaming, representing a high‑growth niche driven by advances in machine learning. Cognitive Research employs EEG to investigate attention, memory, and language processing in both healthy volunteers and clinical populations, supporting drug development and academic inquiry. This Electroencephalography (EEG) Systems segmentation illustrates how each application contributes distinct revenue streams, regulatory pathways, and technology requirements that together define the market taxonomy.