Technology (Vagus Nerve, Responsive Neuro, Deep Brain Stimulations, Accelerometry)
The global epilepsy monitoring devices market is segmented and analyzed for demand and supply by technology into vagus nerve, responsive neuro, deep brain stimulations, and accelerometry. Out of the four types, the deep brain stimulation segment is estimated to gain the largest market share over the projected time frame. The growth of the segment can be attributed to the increasing usage of deep brain stimulators to treat movement problems linked to Parkinson's disease (PD), essential tremors, epilepsy, dystonia, and other neurological illnesses. When medication alone is ineffective, deep brain stimulations may be used to treat persons with uncontrolled focal seizures. Further, it is also an alternative for those whose seizures cannot be controlled by other types of epilepsy surgery. According to statistics, deep brain stimulations have been performed on more than 100,000 individuals worldwide for a range of neurological and non-neurological problems.
End-user (Hospitals & Clinics, Home Care Settings)
The global epilepsy monitoring devices market is also segmented and analyzed for demand and supply by end-user in hospitals & clinics and home care settings. Amongst these three segments, the hospitals & clinics segment is expected to garner a significant share. Patients suffering from epilepsy diseases or disorders often visit hospitals for treatment, as the majority of electroencephalogram (EEG) devices and emergency medical services are used by hospitals and clinics. To perform the EEG technique a highly skilled professional known as a clinical neurophysiologist is needed, which is easily available on hospital premises. Further, the government has increased its spending on healthcare infrastructure to support the growth of hospitals and clinics. This, as a result, is anticipated to create numerous opportunities for the growth of the segment in the coming years.
Our in-depth analysis of the global market includes the following segments:
By Technology |
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By Product |
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By Epilepsy Detection & Prediction Devices |
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By End-User |
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Author Credits: Radhika Pawar
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