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AI in Neurology: Global Markets

Publisher BCC Research
Published Oct 08, 2025
Length 164 Pages
SKU # WA20476931

Description

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.


Comapanies Mentioned

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.

Table of Contents

164 Pages
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
ESG Risk Ratings
Concluding Remarks from BCC
Chapter 9 Appendix
Research Methodology
References
Abbreviations
Company Profiles
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.
Few Emerging Start-ups/Market Disruptors

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