The intraoperative neuromonitoring devices has extensive value in health industry in terms of patient safety. With the changing perspective of MedTech, the adoption rate of such devices are increasing globally. The intraoperative neuromonitoring devices are used for the assessment of neural function and brain activity during complex surgical intervention to avoid any type of complications that causes injury to nervous system.
These intraoperative neuromonitoring devices are utilized to minimize or prevent neurological morbidity from operative manipulations. The device identifies changes in the brain, spinal cord, peripheral nerve function before any damage. The intraoperative neuromonitoring devices shows electrical activity of the brain in a graphical representation during the procedures.
These device include electroencephalogram, somatosensory evoked potentials, motor evoked potentials, brainstem auditory evoked potentials and visual evoked potentials. Electromyography is also used enormously during the complex surgeries.
EEG records the brain electrical activity that can be visualize in the monitor during surgery, or electrocorticography is used to help in determining any resection margins for epilepsy or seizures cases to check electrical changes in the brain while mapping cortical function. All intraoperative neuromonitoring devices are used to track different neural pathways in the brain some times used together during the surgical procedures and post surgeries.
Rise in ageing population, Increase in prevalence of chronic disorder and application of intraoperative neuromonitoring devices used in various complex surgical procedure will drive the growth of intraoperative neuromonitoring devices market over the forecast period.
Moreover, adoption of technologically advanced devices, increase in health expenditure for R&D to manufacture innovative technologies in this sector and favorable reimbursement policies upsurge the growth of intraoperative neuromonitoring devices market over the coming years. However, lack of awareness and lack of skilled professional in developing countries will limit the market growth for intraoperative neuromonitoring devices market.
The global intraoperative neuromonitoring devices market is expected to grow exponentially over the forecast period due to increase in number complex surgical procedures that require to visualize the brain electrical activity. According to World Health Organization (WHO), 312.9 million surgeries were performed in 2012 globally. This data shows an increment by 38% over the last 8 years.
The IONM system segment is expected to contribute the lion’s share and is expected to grow at the same rate over the forecast period. The modality type segment is expected to dominate the market wherein the electromyography segment has the major revenue share according to previous data and will continue to be on lead during the next coming years.
Hospital of end user segment is expected to hold the major share among all other segments due its indication of use for various complex surgeries over the forecast period.
North America will show lucrative revenue for the intraoperative neuromonitoring devices market owing to increasing prevalence of neurological disorder. After North America, Europe region will show the robust growth for intraoperative neuromonitoring devices market in the near future, due to availability of higher hospital facilities and growing healthcare infrastructure in European unions.
Latin America region will show the significant demand for intraoperative neuromonitoring, due to the regional government initiative towards various surgeries and risk management in countries like Brazil and Mexico.
In Asian countries like China and India, the rate of life expectancy, increasing population base and awareness among patients regarding neurological disorder thereby boosting the additional demand for intraoperative neuromonitoring devices market expansion. The Middle East and Africa are expected to be least lucrative region for intraoperative neuromonitoring devices market due to lack of healthcare setting, infrastructure and services.
Example of some key player operating at the global level across the value chain include Intranerve, LLC., Medtronic Plc, Nihon Kohden Corporation, Natus Medical Incorporated, Computational Diagnostics, Inc, inomed Medizintechnik GmbH, Argos Neuromonitoring LP, NeuroMonitoring Technologies, Inc., Biotronic NeuroNetwork and Nuvasive, Inc.
The research report on intraoperative neuromonitoring devices market presents a comprehensive assessment of the market and contains thoughtful insights, facts, historical data, and statistically supported and industry-validated market data.
It also contains projections using a suitable set of assumptions and methodologies. The research report on intraoperative neuromonitoring devices market provides analysis and information according to market segments such as geographies, application, and industry.
The report on intraoperative neuromonitoring devices market is a compilation of first-hand information, qualitative and quantitative assessment by industry analysts, inputs from industry experts and industry participants across the value chain.
The report provides in-depth analysis of parent market trends, macro-economic indicators and governing factors along with market attractiveness as per segments. The report also maps the qualitative impact of various market factors on market segments and geographies.
The intraoperative neuromonitoring market can be segmented by modality, product & services, by application, by source type, by end user and region.
Based on modality type, the global intraoperative neuromonitoring devices market is segmented as:
Based on product and services type, the global intraoperative neuromonitoring devices market is segmented as:
Based on application, the global intraoperative neuromonitoring devices market is segmented as:
Based on source type, the global intraoperative neuromonitoring devices market is segmented as:
Based on end user, the global intraoperative neuromonitoring devices market is segmented as:
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