세계의 신경학용 AI 시장 규모는 2024년 5억 6,360만 달러, 2025년 7억 560만 달러에서 예측 기간 중 CAGR 28.9%로 추이하며, 2030년에는 25억 달러에 달할 것으로 예측됩니다.
북미 시장은 2024년 2억 6,610만 달러, 2025년 3억 4,360만 달러에서 CAGR 32.6%로 추이하며, 2030년에는 14억 달러에 달할 것으로 예측됩니다. 아시아태평양 시장은 2024년 8,450만 달러, 2025년 1억 650만 달러에서 CAGR 29.7%로 추이하며, 2030년에는 3억 9,130만 달러에 달할 것으로 예측됩니다.
세계의 신경학용 AI 시장을 조사했으며, 시장 개요, 시장 영향요인 및 시장 기회 분석, 시장 규모 추이·예측, 각종 구분·지역별 상세 분석 등을 정리하여 전해드립니다.
목차
제1장 개요
시장 전망
조사 범위
시장 요약
시장 역학과 성장요인
신규 기술
부문 분석
지역 분석
결론
제2장 시장 개요
개요
신경학용 AI 주도 퍼스널라이제이션 : 예후, 치료, 결과의 향상
Porter's Five Forces 분석
거시경제 요인 분석
경제성장과 의료비 지출
기술의 진보와 연구개발 투자
규제 환경과 정책 지원
인구 동향과 질병 부담
노동시장과 인재 공급
제3장 시장 역학
개요
시장 성장 촉진요인
신경질환의 유병률 상승
조기진단과 정밀의료의 수요
신경 영상과 데이터 분석 기술의 진보
정부 및 규제기관으로부터의 지원
시장 성장 억제요인
지방 및 저중소득국에서 신경과의의 부족
AI 통합의 고비용
시장 기회
신경학용 AI의 향후 가능성 : 진단의 혁신
AI를 활용한 맞춤형 신경 치료 계획
시장이 해결해야 할 과제
신경학용 AI 툴에서 표준화·검증·투명성의 결여
신경 의료 시스템 간 데이터 단편화
제4장 규제 상황
규제 시나리오
미국의 신경학용 AI의 규제 상황 : 디바이스
미국의 신경학용 AI의 규제 상황 : 의약품 및 생물제제에서의 AI/ML툴
신경학용 AI에 관한 유럽의 규제 상황
신경학용 AI에 관한 일본의 규제 상황
인도의 신경학용 AI의 규제 상황
제5장 신규 기술과 특허 분석
주요 포인트
신경학에서의 생성형 AI : 임상 지원과 지식 활용 향상
신경학에서의 핵신경 영상 진단용 AI의 응용
AI 강화형 BCI(브레인 컴퓨터 인터페이스)의 기존형 및 보완적 신경 의료와의 통합
인지 기능·정신건강 영역에서 AI 툴의 활용
신경학에서 LLM(거대 언어 모델) 및 NLP(자연언어처리)의 새로운 역할
신경학용 AI에서의 신규 동향
특허 분석
주요 조사 결과
제6장 시장 세분화 분석
세분화 내역
시장 내역 : 제품 유형별
주요 포인트
신경 종양 및 신경염증성 질환용 AI
신경혈관 및 외상성 뇌손상용 AI
간질 및 기능적 뇌 장애용 AI
척추 및 운동장애용 AI
신경 발달 및 정신 질환용 AI
시장 내역 : 용도별
주요 포인트
신경 영상 해석
뇌파 검사(EEG)
임상 의사결정 지원
의약품 발견과 개발
기타
시장 내역 : 기술별
주요 포인트
기계학습과 딥러닝
자연언어처리(NLP)
기타
시장 내역 : 최종사용자별
주요 포인트
병원·진료소
진단 센터
연구개발 센터
지역적 내역
시장 내역 : 지역별
주요 포인트
북미
유럽
아시아태평양
남미
중동 및 아프리카
제7장 경쟁 정보
주요 포인트
기업 점유율 분석
주요 발전과 전략
파트너십과 협업
인수
사업 확대
제품의 발매, 승인
제8장 환경·사회·거버넌스(ESG)의 관점
ESG : 서론
지속가능성과 투자 효과의 향상을 향한 신경학용 AI의 역할
신경학용 AI ESG 지속가능성 : 주요 기업에 의한 노력
ESG 리스크 평가
BCC로부터의 결론
제9장 부록
조사 방법
참고 문헌
약어
기업 개요
ACTIV SURGICAL
AIRAMED GMBH
BRAINOMIX
BRAINQ TECHNOLOGIES LTD.
CANON INC.
GE HEALTHCARE
KONINKLIJKE PHILIPS N.V.
MEDTRONIC
NEOSOMA INC.
NEURALINK
NEUROX
NVIDIA CORP.
QURE.AI
SIEMENS HEALTHINEERS AG
VIZ.AI INC.
KSA
영문 목차
영문목차
The global market for AI in neurology was valued at $563.6 million in 2024 and is estimated to increase from $705.6 million in 2025 to reach $2.5 billion by 2030, at a compound annual growth rate (CAGR) of 28.9% from 2025 through 2030.
The North American market for AI in neurology was valued at $266.1 million in 2024 and is estimated to increase from $343.6 million in 2025 to reach $1.4 billion by 2030, at a CAGR of 32.6% from 2025 through 2030.
The Asia-Pacific market for AI in neurology was valued at $84.5 million in 2024 and is estimated to increase from $106.5 million in 2025 to reach $391.3 million by 2030, at a CAGR of 29.7% from 2025 through 2030.
Report Scope
The report provides an overview of the global market for AI in neurology and analyzes market trends. It includes global revenue (in $ millions) with 2024 as the base year, estimated data for 2025, and projections from 2026 to 2030. The market is segmented based on type, end-user industry and region. The regions covered in this study include North America, Europe, Asia-Pacific, the Middle East and Africa (MEA) and South America, focusing on major countries in these regions.
The report provides an in-depth analysis of the global AI in neurology market, emphasizing the major driving forces and emerging technologies shaping this evolving field. It explores how artificial intelligence (AI) transforms neurology through enhanced diagnostic capabilities, early disease detection, personalized treatment planning and remote patient monitoring for neurological conditions such as Alzheimer's, Parkinson's, stroke and epilepsy.
This report analyzes AI adoption and use cases in neurology, highlighting geographic trends across North America, Europe, Asia-Pacific, South America and MEA. It also examines AI disruption across industry verticals and value chain stages, while presenting market spending patterns, investment forecasts, major company expenditures and venture capital funding in AI-driven neurology technologies.
The report examines the environmental, social and corporate governance (ESG) aspects influencing the adoption and ethical use of AI in neurology, reviews recent patent filings and innovation trends that reflect technological advancements in AI-based neuroimaging, brain-computer interfaces, digital therapeutics and wearable neurological devices.
A comprehensive competitive landscape analysis ranks and evaluates the market share of major players globally, highlighting their strategic initiatives, R&D investments and technological strengths in AI neurology solutions. The report concludes with detailed company profiles of key market participants, offering insights into their product portfolios, partnerships, acquisitions and contributions to the advancement of AI in neurological healthcare.
Report Includes
52 data tables and 69 additional tables
An overview of the global market for AI in neurology
In-depth analysis of global market trends, featuring historical revenue data for 2022-2024, estimated figures for 2025, and projected CAGRs through 2030
Evaluation of the current market size and revenue growth prospects specific to AI in neurology, accompanied by a market share analysis by product type, application, end-user industry and region
Analysis of current and future demand in the global neurology market, along with a detailed analysis of the competitive environment, market regulations and reimbursement practices
Analysis of drivers, challenges and opportunities affecting market growth
Coverage of evolving technologies, the current and future market potential, R&D activities, growth strategies, new product pipeline, regulatory framework and reimbursement scenarios, and ESG trends of the market
Market share analysis of the key market participants in the neurology market, along with their research priorities, product portfolios, global rankings and competitive landscape
Company profiles of major players within the industry, including Siemens Healthineers AG, GE Healthcare, Koninklijke Philips N.V., Nvidia Corp., and Canon Inc.
Table of Contents
Chapter 1 Executive Summary
Market Outlook
Scope of Report
Market Summary
Market Dynamics and Growth Factors
Emerging Technologies
Segmental Analysis
Regional Analysis
Conclusion
Chapter 2 Market Overview
Overview
AI-Driven Personalization in Neurology: Advancing Prognosis, Treatment and Outcomes
Porter's Five Forces Analysis
Competitive Rivalry (High)
Threat of New Entrants (Moderate to High)
Bargaining Power of Suppliers (Moderate)
Bargaining Power of Buyers (Moderate)
Threat of Substitutes (Low to Moderate)
Conclusion
Macro-Economic Factor Analysis
Economic Growth and Healthcare Spending
Technological Advancement and R&D Investment
Regulatory Environment and Policy Support
Demographic Trends and Disease Burden
Labor Market and Talent Availability
Chapter 3 Market Dynamics
Overview
Market Drivers
Rising Prevalence of Neurological Disorders
Demand for Early Diagnosis and Precision Medicine
Advancements in Neuroimaging and Data Analytics
Support from Governments and Regulatory Agencies
Market Restraints
Neurological Workforce Paucity in Rural Areas and LMICs
High Cost of AI Integration
Market Opportunities
Future Opportunities for AI in Neurology: Revolutionizing Diagnostics
AI in Personalized Neurological Treatment Plans
Market Challenges
Lack of Standardized Validation and Transparency in AI-Based Neurology Tools
Data Fragmentation Across Neurological Care Systems
Chapter 4 Regulatory Landscape
Regulatory Scenario
Regulatory Landscape in the U.S. for AI in Neurology: Devices
Regulatory Landscape in the U.S. for AI in Neurology: AI/ML tools in Drugs and Biologics
Regulatory Landscape in Europe for AI in Neurology
Regulatory Landscape in Japan for AI in Neurology
Regulatory Landscape in India for AI in Neurology
Chapter 5 Emerging Technologies and Patent Analysis
Key Takeaways
Generative AI in Neurology: Advancing Clinical Support and Knowledge Performance
AI for Nuclear Neuroimaging in Neurology
Integrating AI-Enhanced Brain-Computer Interfaces with Traditional and Complementary Neurology
AI Tools for Cognitive and Mental Health in Neurology
Emerging Role of LLMs and NLP in Neurology AI Applications
Emerging Trends in AI for Neurology
Patent Analysis
Key Findings
Chapter 6 Market Segmentation Analysis
Segmentation Breakdown
Market Breakdown by Product Type
Key Takeaways
AI in Neuro-Oncology and Neuroinflammatory Disorders
AI in Neurovascular and Traumatic Brain Injury
AI in Epilepsy and Functional Brain Disorders
AI in Spinal and Movement Disorders
AI in Neurodevelopmental and Psychiatric Conditions
Market Breakdown by Application
Key Takeaways
Neuro Imaging Analysis
Electroencephalography (EEG) Interpretation
Clinical Decision Support
Drug Discovery and Development
Others
Market Breakdown by Technology
Key Takeaways
Machine Learning and Deep Learning
Natural Language Processing (NLP)
Others
Market Breakdown, by End User
Key Takeaways
Hospitals and Clinics
Diagnostics Centers
Research and Development Centers
Geographic Breakdown
Market Breakdown by Region
Key Takeaways
North America
Europe
Asia-Pacific
South America
Middle East and Africa
Chapter 7 Competitive Intelligence
Key Takeaways
Company Share Analysis
Key Developments and Strategies
Partnerships and Collaborations
Acquisition
Business Expansions
Product Launches, Approval
Chapter 8 Environmental, Social and Governance (ESG) Perspective
Introduction to ESG
The Role of AI in Neurology for Advancing Sustainability and Investment Impact
ESG Sustainability in AI for Neurology: Efforts, by Major Players
