Middle East and Africa EEG Machines Market Forecast to 2028 - COVID-19 Impact and Regional Analysis By Product Type (Integrated EEG and Portable EEG), Application (Disease Diagnosis, Sleep Monitoring, Anesthesia Monitoring Trauma and Surgery, and Others), and End User (Hospitals, Diagnostic Centers, Ambulatory Surgical Centers, Research Laboratories, and Others)
The Middle East & Africa EEG machines market is expected to reach US$ 59.08 million by 2028 from US$ 35.93 million in 2021; it is estimated to grow at a CAGR of 7.4% from 2021 to 2028. The growth of the Middle East & Africa EEG machines market is attributable to innovation for automated seizure detection in epilepsy and increasing neurological disorders. However, the high cost of EEG machines is a key factor restraining the market growth.
The incidence of neurological disorders is significantly rising among older people. However, due to various factors such as stress, genetic mutations, lifestyle habits, and related chronic conditions, the incidences are seen among people of all age groups. It is estimated that there are over 600 neurologic disorders, among which Parkinson's, Huntington's, Alzheimer's, muscular dystrophy, stroke, meningitis, epilepsy, dementia, migraine, and brain tumors are commonly seen. Similarly, the growing geriatric population is expected to influence the incidence of neurological disorders. According to the World Health Organization (WHO) statistics, 2018, the total population over 60 years of age will grow at a rate of 22% by 2050 from 12% in 2015. According to the Federal Interagency Forum on Aging-Related Statistics published in 2016, 35.8% of people aged 85 years and above have moderate or severe memory impairment. Therefore, owing to the above-mentioned statistics, the demand for EEG machines is expected to increase, which, in turn, will propel market growth.
Epilepsy is among the commonly diagnosed neurological disorders among the population across the world. It affects ~2% of the total world's population. However, the diagnosis of epilepsy is merely done in developed countries where the healthcare technologies are well-developed. The diagnosis of epilepsy requires several days of EEG monitoring, which is interpreted by a trained neurologist, a neurophysiologist, or a skilled EEG reader. Epilepsy is undiagnosed in most cases in humans, or the treatment is delayed due to a late diagnosis. Therefore, it is essential to diagnose epilepsy at an early stage.
Technological developments provide a better scope to diagnose epilepsy seizures automatically. Various developments have been undertaken to devise technology for automated epilepsy seizure detection. For instance, in 2017, Google Inc. partnered with Cleveland Clinic's Epilepsy Center to develop an artificial intelligence (AI) system. The collaboration aims to integrate AI with the EEG machines that will help detect epileptic seizures automatically from long-term EEG recordings of patients who have been evaluated in Cleveland Clinic's epilepsy monitoring unit. Such innovations are expected to encourage more developments for EEG machines and create growth opportunities for the market players in the near future.
The COVID-19 pandemic has increased the demand for medical devices that can be used in homecare settings. The region has observed an increase in the number of patients being admitted to intensive care units (ICU). Moreover, the rising number of medications is imposing multiple diagnostic and therapeutic challenges on stressed healthcare systems and leading to a rise in usage of medical devices. However, some segments of the medical industry, including EEG machines, have experienced losses during the COVID-19 pandemic due to restricted manufacturing and supply chain facilities. However, due to the growing infection rate in South Africa, the UAE, and other MEA countries, mental stress has been increased among people. Also, the rising number of cases of chronic conditions has increased the resulted idiagnosis of sleep monitoring, trauma monitoring and anesthesia monitoring after several treatment. Therefore, such instances have broadened growth opportunities for the EEG machines market.
Based on product type, the Middle East & Africa EEG machine market is segmented into integrated EEG and portable EEG. The integrated EEG segment held a larger share of the market in 2020. However, the portable EEG segment is anticipated to register a higher CAGR during the forecast period.
Based on application, the Middle East & Africa EEG machines market is segmented into disease diagnosis, trauma and surgery, sleep monitoring, anesthesia monitoring, and others. The disease diagnosis segment held the largest share of the market in 2020. Moreover, the segment is anticipated to register the highest CAGR in the market during the forecast period.
In terms of end user, the Middle East and Africa EEG machines market is segmented into hospitals, diagnostic centers, ambulatory surgical centers, research laboratories, and others. The hospitals segment held the largest share of the market in 2020; however, the diagnostic centers segment is anticipated to register the highest CAGR in the market during the forecast period.
The key market players associated with the report on the Middle East & Africa EEG machines market are Koninklijke Philips N.V., Medtronic, and Natus Medical Incorporated, among others.
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