Epilepsy Monitoring Device Market by Technology (Implantable Devices, Non-Invasive Devices, Wearable Devices), Monitoring Type (Continuous Monitoring, Intermittent Monitoring), End User, Distribution Channel, Application - Global Forecast 2025-2032
Description
The Epilepsy Monitoring Device Market was valued at USD 596.43 million in 2024 and is projected to grow to USD 632.43 million in 2025, with a CAGR of 7.40%, reaching USD 1,056.43 million by 2032.
Framing the urgent need for advanced epilepsy monitoring solutions to improve patient outcomes, clinical workflows, and longitudinal care coordination
The landscape of epilepsy monitoring is at an inflection point driven by advances in sensor technologies, data analytics, and shifting models of care delivery. Patients, clinicians, and health system leaders are seeking tools that reduce diagnostic latency, enable more precise seizure characterization, and support long-term therapy optimization. This introduction synthesizes the primary forces shaping the field and frames why strategic attention to device design, clinical integration, and supply chain resilience is essential for stakeholders across the ecosystem.
New device formats and measurement approaches are broadening where and how monitoring occurs, moving beyond traditional inpatient electroencephalography suites to ambulatory and home-based workflows. Alongside technological changes, regulatory landscapes and payer expectations are evolving to emphasize evidence of clinical utility and real-world performance. As a result, product teams, clinical trial designers, and purchasers must reconcile engineering trade-offs with user experience, data interoperability, and the operational realities of deploying monitoring solutions at scale.
Identifying transformative shifts reshaping epilepsy monitoring driven by technology, regulation, and evolving care models
Several transformative shifts are reordering priorities for developers, clinicians, and health systems. First, sensor miniaturization and improved signal processing have enabled form factors that are less intrusive while preserving diagnostic fidelity, allowing monitoring to migrate into outpatient and home environments. Second, algorithmic advances in artifact rejection and seizure detection are improving interpretability of prolonged recordings, thereby reducing clinician review burden and accelerating time to actionable insight. Third, clinical practice models are moving toward continuous, patient-centered monitoring paradigms that emphasize longitudinal data to support individualized therapeutic titration.
Regulatory and reimbursement frameworks are adapting to these technological shifts, with growing emphasis on demonstration of clinical utility, patient-reported outcomes, and integration with electronic health records. Supply chain considerations, including component sourcing and manufacturing flexibility, are receiving heightened attention given global trade dynamics. Taken together, these trends are creating both opportunities for differentiated product design and challenges in evidentiary burden, clinical adoption, and cross-border commercialization.
Assessing the cumulative impact of United States tariffs in 2025 on epilepsy monitoring device supply chains, costs, and cross-border clinical collaboration
The 2025 tariff environment originating from the United States has created a distinct set of considerations for manufacturers, purchasers, and clinical operators in the epilepsy monitoring domain. Tariff-induced changes to component costs and import timing have amplified the need for end-to-end visibility in supply chains and prompted firms to evaluate alternative sourcing strategies, including nearshoring and diversification of component suppliers. For device manufacturers producing highly integrated systems, even modest increases in upstream costs can necessitate reassessment of bill-of-material allocations, product pricing strategies, and contractual terms with distributors and health system customers.
Operationally, the tariff landscape has reinforced the importance of supplier risk assessment, inventory optimization, and collaborative forecasting with key clinical partners. Clinical trial planners and regulatory teams must also account for potential procurement delays when designing multi-center studies or equipment deployments. In parallel, procurement organizations within hospitals, ambulatory centers, and homecare networks are recalibrating supplier relationships and tender timelines to mitigate disruption. While tariffs do not alter clinical efficacy, they do affect commercialization timelines, cost structures, and the strategic calculus for market entry and geographic expansion.
Unlocking granular segmentation insights across device technology, monitoring modality, end users, distribution channels, and application clinical pathways
Segmentation-driven analysis reveals how product design, care pathways, and distribution approaches intersect to determine adoption patterns and clinical value. Devices categorized by technology highlight distinct development and deployment considerations: implantable devices, including subdural electrodes and vagus nerve stimulators, require extended clinical validation, specialized implantation workflows, and durable biocompatible design; non-invasive devices such as EEG caps and scalp electrodes prioritize rapid usability, hygienic design, and streamlined clinician interpretation; and wearable devices, from headband devices to wrist-worn monitors, emphasize comfort, battery life, and continuous data capture for ambulatory settings.
Monitoring modality further influences clinical use cases; continuous monitoring supports long-term seizure burden assessment and therapy optimization, while intermittent monitoring is often leveraged for diagnostic snapshots or pre-surgical evaluations. End users shape procurement and workflow adaptations: ambulatory centers focus on throughput and remote monitoring integration, homecare settings prioritize patient engagement and device ergonomics, and hospitals and clinics balance inpatient diagnostic rigor with multidisciplinary care coordination. Distribution strategy affects time-to-adoption and customer experience, with direct sales enabling tailored clinical training and integration services and online sales driving scalability and broader patient access. Application distinctions are equally consequential: diagnostic monitoring spans epilepsy disorder diagnosis and pre-surgical evaluation, whereas therapeutic monitoring covers seizure management and therapy compliance, each demanding different data resolution, reporting approaches, and clinician interfaces. Integrating these segmentation layers provides a structured lens for identifying where incremental innovation, clinical evidence generation, or new commercial models will deliver the greatest impact.
Mapping regional dynamics and adoption patterns across the Americas, Europe, Middle East & Africa, and Asia-Pacific health systems and care delivery networks
Regional dynamics materially influence adoption curves, regulatory pathways, and partnership strategies across the epilepsy monitoring landscape. In the Americas, academic medical centers and specialty clinics often lead clinical validation efforts, while private and public payers progressively assess real-world evidence when shaping coverage policies. Europe, Middle East & Africa present heterogeneous regulatory frameworks and reimbursement environments, which require tailored market access strategies and local clinical partnerships to demonstrate relevance across varied healthcare delivery models. Asia-Pacific is notable for rapid technology adoption in certain urban centers and a diverse manufacturing ecosystem, prompting considerations around local production partnerships, regulatory harmonization, and scalable distribution models.
These regional distinctions create different priorities for companies seeking to deploy monitoring solutions at scale. Stakeholders must align go-to-market tactics with local clinician preferences, procurement cycles, and regulatory requirements. Cross-border collaboration in clinical research can accelerate evidence generation, but it also demands careful coordination around device registration, data governance, and post-market surveillance. Ultimately, regional insights inform where clinical pilots, training investments, and commercial partnerships will be most effective in achieving adoption and sustained utilization.
Profiling key industry participants and collaborative ecosystems driving innovation, clinical validation, and commercialization in epilepsy monitoring
Key company insights highlight a competitive environment characterized by established medtech firms collaborating with smaller innovators and clinical research teams to advance evidence generation and product differentiation. Larger device manufacturers bring scale, regulatory experience, and global distribution networks that can accelerate clinical adoption, while emerging firms often introduce focused advances in sensor design, user interface, and machine learning-driven analytics. Strategic partnerships between technology providers and clinical centers are increasingly used to validate performance in real-world settings and build clinical consensus around new monitoring paradigms.
Commercial strategies vary by organizational capability: some companies prioritize direct engagement with health systems to bundle devices and services, whereas others leverage digital channels and partnerships with homecare providers to extend reach. Investment in post-market data collection and interoperability with electronic health records is a common competitive differentiator, as stakeholders seek longitudinal evidence of clinical utility. Collaboration with academic centers for pre-surgical evaluation workflows and with rehabilitation services for therapy compliance programs remains a high-impact approach for demonstrating real-world benefit and cultivating clinical champions.
Delivering actionable recommendations for manufacturers and clinical stakeholders to accelerate adoption, optimize outcomes, and mitigate supply disruptions
Industry leaders should pursue a set of pragmatic actions to align product development, clinical evidence, and commercial execution with evolving stakeholder needs. First, prioritize integration of clinician and patient feedback early in development cycles to refine form factors and reporting outputs that support real-world workflows. Second, design evidence-generation programs that include both controlled clinical validation and pragmatic, post-market data collection to demonstrate utility across diagnostic and therapeutic applications. Third, enhance supply chain resilience by diversifying component sourcing, establishing contingency manufacturing capacity, and implementing transparent inventory planning with channel partners to mitigate tariff-related and logistic disruptions.
Additionally, cultivate strategic partnerships with ambulatory centers and homecare networks to pilot remote monitoring models and refine training materials. Invest in interoperability standards and data governance frameworks to facilitate EHR integration and downstream analytics. From a commercial perspective, consider hybrid distribution models that combine direct sales for complex clinical installations with online channels for consumer-facing devices to balance reach and service quality. Finally, engage early with payers and health technology assessment bodies to align evidence packages with coverage criteria and to expedite adoption within institutional purchasing processes.
Explaining the rigorous mixed-methods research methodology used to gather device, clinical, and stakeholder intelligence highlighting rigor and transparency
This research employs a mixed-methods approach combining primary stakeholder interviews, device performance literature review, regulatory analysis, and supplier chain mapping to produce a robust and reproducible evidence base. Primary qualitative interviews were conducted with clinical leads, procurement officers, device engineers, and service providers to capture practical insights on usability, clinical workflow impact, and post-deployment challenges. Secondary sources included peer-reviewed clinical studies, device technical whitepapers, and regulatory filings to corroborate performance claims and to map differences in device architecture and intended use.
Analytical methods included comparative feature mapping across device types, scenario analysis for tariff-driven supply disruptions, and triangulation of clinical use cases across end-user settings. Data handling adhered to recognized standards for transparency and replicability, with explicit documentation of inclusion criteria, interview guides, and analytical scripts. Where appropriate, sensitivity checks were performed to ensure conclusions were robust to plausible variations in supply chain and clinical adoption assumptions. This combination of methods supports a credible, actionable synthesis of clinical, technical, and commercial considerations.
Concluding synthesis emphasizing clinical implications, stakeholder priorities, and pathways to scale patient-centered epilepsy monitoring solutions
The concluding synthesis emphasizes the clinical implications, stakeholder priorities, and operational pathways necessary to scale patient-centered epilepsy monitoring solutions. Clinically, there is increasing recognition that longitudinal and ambulatory data can materially influence diagnosis, pre-surgical planning, and ongoing therapy optimization, but realizing that value requires devices that fit naturally into existing workflows and provide clear, actionable summaries for clinicians. Stakeholder priorities coalesce around device reliability, ease of use, and demonstrable impact on clinical decision-making, while payers and procurement teams seek clear evidence of cost-effectiveness in routine care.
Operationally, scaling monitoring programs demands attention to training, interoperability, and reimbursement alignment. Companies that effectively integrate end-user feedback into iterative design, partner with clinical centers for pragmatic validation, and proactively manage supply chain risk will be best positioned to translate technical innovation into sustained clinical adoption. In sum, the path to impact requires coordinated efforts across engineering, clinical evidence generation, commercial strategy, and post-market support.
Please Note: PDF & Excel + Online Access - 1 Year
Framing the urgent need for advanced epilepsy monitoring solutions to improve patient outcomes, clinical workflows, and longitudinal care coordination
The landscape of epilepsy monitoring is at an inflection point driven by advances in sensor technologies, data analytics, and shifting models of care delivery. Patients, clinicians, and health system leaders are seeking tools that reduce diagnostic latency, enable more precise seizure characterization, and support long-term therapy optimization. This introduction synthesizes the primary forces shaping the field and frames why strategic attention to device design, clinical integration, and supply chain resilience is essential for stakeholders across the ecosystem.
New device formats and measurement approaches are broadening where and how monitoring occurs, moving beyond traditional inpatient electroencephalography suites to ambulatory and home-based workflows. Alongside technological changes, regulatory landscapes and payer expectations are evolving to emphasize evidence of clinical utility and real-world performance. As a result, product teams, clinical trial designers, and purchasers must reconcile engineering trade-offs with user experience, data interoperability, and the operational realities of deploying monitoring solutions at scale.
Identifying transformative shifts reshaping epilepsy monitoring driven by technology, regulation, and evolving care models
Several transformative shifts are reordering priorities for developers, clinicians, and health systems. First, sensor miniaturization and improved signal processing have enabled form factors that are less intrusive while preserving diagnostic fidelity, allowing monitoring to migrate into outpatient and home environments. Second, algorithmic advances in artifact rejection and seizure detection are improving interpretability of prolonged recordings, thereby reducing clinician review burden and accelerating time to actionable insight. Third, clinical practice models are moving toward continuous, patient-centered monitoring paradigms that emphasize longitudinal data to support individualized therapeutic titration.
Regulatory and reimbursement frameworks are adapting to these technological shifts, with growing emphasis on demonstration of clinical utility, patient-reported outcomes, and integration with electronic health records. Supply chain considerations, including component sourcing and manufacturing flexibility, are receiving heightened attention given global trade dynamics. Taken together, these trends are creating both opportunities for differentiated product design and challenges in evidentiary burden, clinical adoption, and cross-border commercialization.
Assessing the cumulative impact of United States tariffs in 2025 on epilepsy monitoring device supply chains, costs, and cross-border clinical collaboration
The 2025 tariff environment originating from the United States has created a distinct set of considerations for manufacturers, purchasers, and clinical operators in the epilepsy monitoring domain. Tariff-induced changes to component costs and import timing have amplified the need for end-to-end visibility in supply chains and prompted firms to evaluate alternative sourcing strategies, including nearshoring and diversification of component suppliers. For device manufacturers producing highly integrated systems, even modest increases in upstream costs can necessitate reassessment of bill-of-material allocations, product pricing strategies, and contractual terms with distributors and health system customers.
Operationally, the tariff landscape has reinforced the importance of supplier risk assessment, inventory optimization, and collaborative forecasting with key clinical partners. Clinical trial planners and regulatory teams must also account for potential procurement delays when designing multi-center studies or equipment deployments. In parallel, procurement organizations within hospitals, ambulatory centers, and homecare networks are recalibrating supplier relationships and tender timelines to mitigate disruption. While tariffs do not alter clinical efficacy, they do affect commercialization timelines, cost structures, and the strategic calculus for market entry and geographic expansion.
Unlocking granular segmentation insights across device technology, monitoring modality, end users, distribution channels, and application clinical pathways
Segmentation-driven analysis reveals how product design, care pathways, and distribution approaches intersect to determine adoption patterns and clinical value. Devices categorized by technology highlight distinct development and deployment considerations: implantable devices, including subdural electrodes and vagus nerve stimulators, require extended clinical validation, specialized implantation workflows, and durable biocompatible design; non-invasive devices such as EEG caps and scalp electrodes prioritize rapid usability, hygienic design, and streamlined clinician interpretation; and wearable devices, from headband devices to wrist-worn monitors, emphasize comfort, battery life, and continuous data capture for ambulatory settings.
Monitoring modality further influences clinical use cases; continuous monitoring supports long-term seizure burden assessment and therapy optimization, while intermittent monitoring is often leveraged for diagnostic snapshots or pre-surgical evaluations. End users shape procurement and workflow adaptations: ambulatory centers focus on throughput and remote monitoring integration, homecare settings prioritize patient engagement and device ergonomics, and hospitals and clinics balance inpatient diagnostic rigor with multidisciplinary care coordination. Distribution strategy affects time-to-adoption and customer experience, with direct sales enabling tailored clinical training and integration services and online sales driving scalability and broader patient access. Application distinctions are equally consequential: diagnostic monitoring spans epilepsy disorder diagnosis and pre-surgical evaluation, whereas therapeutic monitoring covers seizure management and therapy compliance, each demanding different data resolution, reporting approaches, and clinician interfaces. Integrating these segmentation layers provides a structured lens for identifying where incremental innovation, clinical evidence generation, or new commercial models will deliver the greatest impact.
Mapping regional dynamics and adoption patterns across the Americas, Europe, Middle East & Africa, and Asia-Pacific health systems and care delivery networks
Regional dynamics materially influence adoption curves, regulatory pathways, and partnership strategies across the epilepsy monitoring landscape. In the Americas, academic medical centers and specialty clinics often lead clinical validation efforts, while private and public payers progressively assess real-world evidence when shaping coverage policies. Europe, Middle East & Africa present heterogeneous regulatory frameworks and reimbursement environments, which require tailored market access strategies and local clinical partnerships to demonstrate relevance across varied healthcare delivery models. Asia-Pacific is notable for rapid technology adoption in certain urban centers and a diverse manufacturing ecosystem, prompting considerations around local production partnerships, regulatory harmonization, and scalable distribution models.
These regional distinctions create different priorities for companies seeking to deploy monitoring solutions at scale. Stakeholders must align go-to-market tactics with local clinician preferences, procurement cycles, and regulatory requirements. Cross-border collaboration in clinical research can accelerate evidence generation, but it also demands careful coordination around device registration, data governance, and post-market surveillance. Ultimately, regional insights inform where clinical pilots, training investments, and commercial partnerships will be most effective in achieving adoption and sustained utilization.
Profiling key industry participants and collaborative ecosystems driving innovation, clinical validation, and commercialization in epilepsy monitoring
Key company insights highlight a competitive environment characterized by established medtech firms collaborating with smaller innovators and clinical research teams to advance evidence generation and product differentiation. Larger device manufacturers bring scale, regulatory experience, and global distribution networks that can accelerate clinical adoption, while emerging firms often introduce focused advances in sensor design, user interface, and machine learning-driven analytics. Strategic partnerships between technology providers and clinical centers are increasingly used to validate performance in real-world settings and build clinical consensus around new monitoring paradigms.
Commercial strategies vary by organizational capability: some companies prioritize direct engagement with health systems to bundle devices and services, whereas others leverage digital channels and partnerships with homecare providers to extend reach. Investment in post-market data collection and interoperability with electronic health records is a common competitive differentiator, as stakeholders seek longitudinal evidence of clinical utility. Collaboration with academic centers for pre-surgical evaluation workflows and with rehabilitation services for therapy compliance programs remains a high-impact approach for demonstrating real-world benefit and cultivating clinical champions.
Delivering actionable recommendations for manufacturers and clinical stakeholders to accelerate adoption, optimize outcomes, and mitigate supply disruptions
Industry leaders should pursue a set of pragmatic actions to align product development, clinical evidence, and commercial execution with evolving stakeholder needs. First, prioritize integration of clinician and patient feedback early in development cycles to refine form factors and reporting outputs that support real-world workflows. Second, design evidence-generation programs that include both controlled clinical validation and pragmatic, post-market data collection to demonstrate utility across diagnostic and therapeutic applications. Third, enhance supply chain resilience by diversifying component sourcing, establishing contingency manufacturing capacity, and implementing transparent inventory planning with channel partners to mitigate tariff-related and logistic disruptions.
Additionally, cultivate strategic partnerships with ambulatory centers and homecare networks to pilot remote monitoring models and refine training materials. Invest in interoperability standards and data governance frameworks to facilitate EHR integration and downstream analytics. From a commercial perspective, consider hybrid distribution models that combine direct sales for complex clinical installations with online channels for consumer-facing devices to balance reach and service quality. Finally, engage early with payers and health technology assessment bodies to align evidence packages with coverage criteria and to expedite adoption within institutional purchasing processes.
Explaining the rigorous mixed-methods research methodology used to gather device, clinical, and stakeholder intelligence highlighting rigor and transparency
This research employs a mixed-methods approach combining primary stakeholder interviews, device performance literature review, regulatory analysis, and supplier chain mapping to produce a robust and reproducible evidence base. Primary qualitative interviews were conducted with clinical leads, procurement officers, device engineers, and service providers to capture practical insights on usability, clinical workflow impact, and post-deployment challenges. Secondary sources included peer-reviewed clinical studies, device technical whitepapers, and regulatory filings to corroborate performance claims and to map differences in device architecture and intended use.
Analytical methods included comparative feature mapping across device types, scenario analysis for tariff-driven supply disruptions, and triangulation of clinical use cases across end-user settings. Data handling adhered to recognized standards for transparency and replicability, with explicit documentation of inclusion criteria, interview guides, and analytical scripts. Where appropriate, sensitivity checks were performed to ensure conclusions were robust to plausible variations in supply chain and clinical adoption assumptions. This combination of methods supports a credible, actionable synthesis of clinical, technical, and commercial considerations.
Concluding synthesis emphasizing clinical implications, stakeholder priorities, and pathways to scale patient-centered epilepsy monitoring solutions
The concluding synthesis emphasizes the clinical implications, stakeholder priorities, and operational pathways necessary to scale patient-centered epilepsy monitoring solutions. Clinically, there is increasing recognition that longitudinal and ambulatory data can materially influence diagnosis, pre-surgical planning, and ongoing therapy optimization, but realizing that value requires devices that fit naturally into existing workflows and provide clear, actionable summaries for clinicians. Stakeholder priorities coalesce around device reliability, ease of use, and demonstrable impact on clinical decision-making, while payers and procurement teams seek clear evidence of cost-effectiveness in routine care.
Operationally, scaling monitoring programs demands attention to training, interoperability, and reimbursement alignment. Companies that effectively integrate end-user feedback into iterative design, partner with clinical centers for pragmatic validation, and proactively manage supply chain risk will be best positioned to translate technical innovation into sustained clinical adoption. In sum, the path to impact requires coordinated efforts across engineering, clinical evidence generation, commercial strategy, and post-market support.
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
195 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Integration of AI-driven seizure detection algorithms into wearable EEG devices for continuous real-time monitoring
- 5.2. Development of minimally invasive subscalp electrode systems for long-term epilepsy tracking with enhanced patient comfort
- 5.3. Adoption of telemedicine platforms for remote data transmission and analysis of seizure events in outpatient care
- 5.4. Rising partnerships between device manufacturers and cloud providers for secure scalable storage of high-resolution EEG data
- 5.5. Use of multimodal biosensors combining heart rate variability and EEG patterns to improve accuracy of seizure prediction alerts
- 5.6. Launch of mobile applications with personalized seizure diaries and real-time alerts to caregivers and clinicians
- 5.7. Advancement of implantable responsive neurostimulation devices integrating closed-loop stimulation with monitoring capabilities
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Epilepsy Monitoring Device Market, by Technology
- 8.1. Implantable Devices
- 8.1.1. Subdural Electrodes
- 8.1.2. Vagus Nerve Stimulators
- 8.2. Non-Invasive Devices
- 8.2.1. EEG Caps
- 8.2.2. Scalp Electrodes
- 8.3. Wearable Devices
- 8.3.1. Headband Devices
- 8.3.2. Wrist-Worn Devices
- 9. Epilepsy Monitoring Device Market, by Monitoring Type
- 9.1. Continuous Monitoring
- 9.2. Intermittent Monitoring
- 10. Epilepsy Monitoring Device Market, by End User
- 10.1. Ambulatory Centers
- 10.2. Homecare Settings
- 10.3. Hospitals & Clinics
- 11. Epilepsy Monitoring Device Market, by Distribution Channel
- 11.1. Direct Sales
- 11.2. Online Sales
- 12. Epilepsy Monitoring Device Market, by Application
- 12.1. Diagnostic Monitoring
- 12.1.1. Epilepsy Disorder Diagnosis
- 12.1.2. Pre-Surgical Evaluation
- 12.2. Therapeutic Monitoring
- 12.2.1. Seizure Management
- 12.2.2. Therapy Compliance
- 13. Epilepsy Monitoring Device Market, by Region
- 13.1. Americas
- 13.1.1. North America
- 13.1.2. Latin America
- 13.2. Europe, Middle East & Africa
- 13.2.1. Europe
- 13.2.2. Middle East
- 13.2.3. Africa
- 13.3. Asia-Pacific
- 14. Epilepsy Monitoring Device Market, by Group
- 14.1. ASEAN
- 14.2. GCC
- 14.3. European Union
- 14.4. BRICS
- 14.5. G7
- 14.6. NATO
- 15. Epilepsy Monitoring Device Market, by Country
- 15.1. United States
- 15.2. Canada
- 15.3. Mexico
- 15.4. Brazil
- 15.5. United Kingdom
- 15.6. Germany
- 15.7. France
- 15.8. Russia
- 15.9. Italy
- 15.10. Spain
- 15.11. China
- 15.12. India
- 15.13. Japan
- 15.14. Australia
- 15.15. South Korea
- 16. Competitive Landscape
- 16.1. Market Share Analysis, 2024
- 16.2. FPNV Positioning Matrix, 2024
- 16.3. Competitive Analysis
- 16.3.1. Nihon Kohden Corporation
- 16.3.2. Natus Medical Incorporated
- 16.3.3. Koninklijke Philips N.V.
- 16.3.4. Compumedics Limited
- 16.3.5. Cadwell Industries, Inc.
- 16.3.6. NeuroPace, Inc.
- 16.3.7. Ceribell Inc.
- 16.3.8. NeuroWave Systems Inc.
- 16.3.9. Micromed S.r.l.
- 16.3.10. Ambu A/S
- 16.3.11. The Magstim Co. Ltd.
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