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시장보고서
상품코드
1764803
신경과학 시장(2025-2032년) : 컴포넌트별, 기술별, 최종 사용자별, 지역별 규모, 점유율 및 성장 분석과 산업 예측Neuroscience Market Size, Share, and Growth Analysis, By Component (Instruments, Consumables), By Technology (Brain Imaging, Neuro-Microscopy), By End-user, By Region - Industry Forecast 2025-2032 |
신경과학 세계 시장 규모는 2023년 405억 달러를 달성하였고 예측기간(2025-2032년) 동안 CAGR 5.1%로 2024년 425억 7,000만 달러에서 2032년에는 633억 7,000만 달러로 성장할 전망입니다.
세계의 신경과학 시장은 소비자 행동의 변화, 정부의 이니셔티브 및 기술의 진보로 큰 성장을 기대하고 있습니다. 각국 정부는 신경과학 분야에 투자를 진행하고 있습니다. 싱가포르에서는 2024년 개시된 웨어러블 뇌파계와 뉴로피드백 장치를 포함한 전국적인 신경 데이터 분석 플랫폼에 의해 스마트 헬스 구상을 실현하고 있습니다. 이 장치는 다양한 건강 관리 환경에서 뇌파 활동과 스트레스 수준에 대한 실시간 신경학적 데이터를 수집합니다. 이를 통해 정신 건강 문제의 스크리닝과 모니터링이 더욱 개선될 것으로 예측됩니다. 한편, 머신러닝과 AI는 초개인화 치료를 가능하게 하고 5G의 보급은 원격 신경 모니터링 기능을 강화하여 시기 적절한 개입을 향상시켜 의료 기술의 지속 가능성을 촉진합니다.
Global Neuroscience Market size was valued at USD 40.5 billion in 2023 and is poised to grow from USD 42.57 billion in 2024 to USD 63.37 billion by 2032, growing at a CAGR of 5.1% during the forecast period (2025-2032).
The global neuroscience market is poised for significant growth driven by shifts in consumer behavior, government initiatives, and technology advancements. Authorities worldwide are investing in neuro-digital infrastructure to enhance smart healthcare and cognitive diagnostics. In Singapore, the Smart Health initiative is exemplified by a nationwide neural data analytics platform incorporating wearable EEG and neurofeedback devices, set for full deployment by 2024. These devices gather real-time neurological data on brainwave activity and stress levels in various healthcare settings. The rise of public-private partnerships, such as those between ST Engineering and NeuroSky, is expected to further advance screening and monitoring for mental health issues through 2025. Meanwhile, machine learning and AI are enabling hyper-personalized therapies, and the proliferation of 5G is enhancing remote neuro-monitoring capabilities, improving timely interventions and promoting sustainability in medical technology.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Neuroscience market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Neuroscience Market Segments Analysis
Global Neuroscience Market is segmented by Component, Technology, End-user and region. Based on Component, the market is segmented into Instruments, Consumables and Software & Services. Based on Technology, the market is segmented into Brain Imaging, Neuro-Microscopy, Stereotaxic Surgeries, Neuro-Proteomic Analysis, Neuro-Cellular Manipulation and Others. Based on End-user, the market is segmented into Hospitals, Diagnostic laboratories and Research and Academic Institute. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Neuroscience Market
The global neuroscience market is being significantly influenced by the integration of artificial intelligence (AI) and machine learning technologies in brain health management. These innovations enable real-time analysis of neural data, allowing for early recognition of patterns and customized cognitive therapy solutions that have transformed the field. Additionally, AI-driven applications, such as natural language processing (NLP) and computer vision algorithms, enhance the accuracy with which physicians interpret complex brain imaging and neurophysiological signals compared to traditional methods. The rise in popularity of AI-integrated brain-computer interfaces (BCIs) is also shaping neurorehabilitation, prosthetic control, and communication enhancements for patients with severe brain injuries.
Restraints in the Global Neuroscience Market
The Global Neuroscience market faces significant constraints due to the substantial financial investment required for acquiring, installing, calibrating, and maintaining advanced neuroscience technologies. Cutting-edge tools such as functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG) systems, electrocorticography (ECoG), brain-computer interfaces (BCIs), and high-resolution neuroimaging platforms demand considerable resources, making them costly for research institutions and healthcare facilities. This financial barrier can limit accessibility and hinder widespread adoption of these critical technologies, potentially slowing advancements in neuroscience research and clinical applications. As a result, the high costs associated with these sophisticated tools pose a notable challenge to the industry's growth.
Market Trends of the Global Neuroscience Market
The Global Neuroscience market is experiencing a significant transformation driven by the integration of AI-powered precision diagnostics and programmatic decision-making. Similar to how programmatic advertising reshaped digital marketing, AI-driven analytics are enhancing neuroscience diagnostics through predictive modeling, automated neural image processing, and advanced EEG interpretation. This shift enables real-time, data-informed decisions, which optimize treatment protocols, streamline clinical workflows, and enhance diagnostic accuracy by adapting strategies based on immediate neural feedback. As a result, leading healthcare providers and med-tech innovators now regard widespread AI integration as a vital strategy for improving patient outcomes and increasing the efficiency of clinical interventions within the neuroscience sector.