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Brain Imaging Devices Market

The market for Brain Imaging Devices was estimated at $7.9 billion in 2025; it is anticipated to increase to $11.6 billion by 2030, with projections indicating growth to around $17.1 billion by 2035.

Report ID:DS1801028
Author:Debadatta Patel - Senior Consultant
Published Date:
Datatree
Life Science
Medical Device
Brain Imaging Devices
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Report Summary
Market Data
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Table of Contents

Global Brain Imaging Devices Market Outlook

Revenue, 2025

$7.9B

Forecast, 2035

$17.1B

CAGR, 2026 - 2035

8.1%

The Brain Imaging Devices industry revenue is expected to be around $7.9 billion in 2026 and expected to showcase growth with 8.1% CAGR between 2026 and 2035. Brain Imaging Devices serve as an essential foundation for contemporary healthcare systems because medical facilities focus on performing fast and detailed assessments of complicated neurological conditions. The market shows its highest demand for stroke and brain tumor management because these applications make up 57.3% of total usage. Medical staff use this technology to achieve faster patient assessment and enhanced diagnostic results and improved treatment strategies for both emergency and long term patient care. MRI systems continue to dominate the neuroimaging devices segment through their leading position which brought $3.29 billion in revenue during 2025 because of functional MRI progress and higher field magnet development and shorter scan durations that produce better images and faster patient care.

The market will experience additional growth because of two factors: the growing number of people developing age related neurological diseases and medical facilities buying more imaging equipment and adopting AI based image processing systems which enhance operational efficiency and medical diagnosis accuracy. Brain Imaging Devices consist of multiple sophisticated imaging systems which include MRI scanners and CT scanners and PET systems and hybrid neuroimaging platforms that provide complete structural and functional brain anatomy and pathology information. The systems operate with high spatial resolution and multi parametric imaging capabilities which make them essential for detecting acute stroke and brain tumor characterization and neurodegenerative disease monitoring and complex neurosurgical procedure guidance. The technology finds its main use in three region's of emergency stroke imaging and oncology and epilepsy diagnosis and psychiatric studies and pediatric hospitals neurological care while showing increasing use in clinical trials and individualized medical approaches which need quantitative imaging results. The market experiences growing demand because healthcare providers now prefer portable and point of care imaging solutions and AI based decision support systems and quantitative imaging biomarkers and Brain Imaging Devices that connect to hospital networks for ongoing neurological health tracking.

Brain Imaging Devices market outlook with forecast trends, drivers, opportunities, supply chain, and competition 2025-2035
Brain Imaging Devices Market Outlook

Market Key Insights

  • The Brain Imaging Devices market will expand from $7.9 billion in 2025 to reach $17.2 billion during the period from 2025 to 2035. The market shows an 8.14% annual growth rate because customers increasingly need these products for Clinical Diagnosis and Research and Development and Screening and Monitoring applications.

  • The market competition exists between GE HealthCare and Siemens Healthineers and Koninklijke Philips N.V. which operate as its leading industry participants.

  • The Brain Imaging Devices market shows its highest demand through U.S. and Germany as its leading markets which will experience 5.9% to 8.5% annual growth rates from 2025 to 2030.

  • Our analysis predicts Brazil, India and China will experience the most significant growth among emerging markets at rates between 7.8% and 10.2% CAGR.

  • The Brain Imaging Devices market will experience $984 million growth during 2030 because of the expected transition which resembles AI adoption in brain imaging.

  • The Brain Imaging Devices market will experience a $9.3 billion growth span from 2025 to 2035 while manufacturers focus on developing Brain Tumor & Traumatic Brain Injury Application solutions which will dominate the market.

  • The Brain Imaging Devices market will experience a 119% growth from 2025 to 2035 because of ongoing neurological research progress and increasing neurological disease cases.

brain imaging devices market size with pie charts of major and emerging country share, CAGR, trends for 2025 and 2032
Brain Imaging Devices - Country Share Analysis

Opportunities in the Brain Imaging Devices

The Brain Imaging Devices market in India and China experiences growing demand because these countries have also restricted neurologist availability and increasing numbers of epilepsy and mental health patients who need to visit outpatient diagnostic centers and community hospitals for treatment. The worldwide market for portable EEG devices will generate $0.91 billion in 2025 before reaching $1.46 billion by 2030 at a 9.8% annual growth rate. The main market segment consists of affordable networked EEG systems which serve tele neurology and sleep clinics while using mid field MRI technology that operates with low power consumption.

Growth Opportunities in North America and Asia-Pacific

North American Brain Imaging Devices adoption follows high acuity stroke and traumatic brain injury applications which drive investment toward stroke imaging protocols and fast CT MRI pathways and epilepsy monitoring units and brain tumor diagnostics for neuroimaging system expansion. The hospital should focus on three main opportunities which include upgrading MRI scanners and hybrid PET CT platforms for functional MRI and advanced perfusion studies and implementing AI powered diagnostics within hospital PACS and building additional intraoperative imaging suites for neurosurgical oncology and complex epilepsy cases. The market competition exists because multinational companies which control premium market segments face challenges from software specialists and independent medical imaging facilities that use unique service approaches to compete for market share. All market participants need to enhance their product positioning through improved workflow efficiency and better image quality and reduced total ownership expenses. The main factors which drive the market in different regions include established payment systems for sophisticated brain imaging technologies and well developed stroke treatment facilities and sports injury head trauma understanding and healthcare organizations that buy portable brain scanners and point of care neuroimaging equipment to reduce patient wait times and enhance brain injury treatment results.
The Brain Imaging Devices market in Asia Pacific operates mainly because of two factors which include high stroke rates and increasing medical tests for brain tumor diagnosis. The market shows increasing interest in emergency and specialty neurology services which provide imaging services for traumatic brain injuries and epilepsy patients in emergency and specialty neurology services that operate beyond major cities. The most promising business opportunities exist in two region's: building CT and MRI facilities across multiple secondary cities and developing neuroimaging systems at reduced costs for public procurement contracts and using AI to perform medical diagnoses which solves the problem of insufficient radiologists and creating portable brain scanners to reach distant region's with limited medical services. The market competition between worldwide original equipment manufacturers and flexible local producers who create Brain Imaging Devices for specific medical procedures in their regions leads to fierce price competition which drives manufacturers to develop unique products through their focus on easy to maintain equipment and cloud based image storage and specialized software for stroke diagnosis and tumor evaluation. The main factors which drive regional expansion consist of ongoing healthcare facility development and increasing medical costs and official programs for stroke and cancer treatment and the fast adoption of digital imaging technology in medical facilities which drives healthcare professionals to use functional MRI and intraoperative imaging and point of care neuroimaging solutions in various healthcare environments.

Market Dynamics and Supply Chain

01

Driver: Rising neurological disease burden combined with precision diagnostics and imaging innovation

The growing prevalence of neurological disorders such as Alzheimer’s disease, Parkinson’s disease, epilepsy, and stroke is also driving sustained demand for advanced brain imaging devices. Aging populations and lifestyle-related risk factors are also increasing diagnostic volumes in hospitals and specialty neurology centers. Parallel to this, precision diagnostics is also gaining momentum, supported by also advances in high-resolution MRI, functional MRI, PET-CT, and hybrid imaging platforms. Innovations such as AI-assisted image reconstruction, quantitative brain mapping, and multi-modal imaging enable earlier detection of subtle structural and functional abnormalities. These technologies support personalized treatment planning, longitudinal disease monitoring, and clinical research, particularly in neurodegenerative and psychiatric conditions, reinforcing long-term adoption across both clinical and academic settings.
AI-driven software embedded in brain imaging devices is also becoming a critical growth driver by improving scan speed, image clarity, and diagnostic accuracy. Automated lesion detection, brain volumetry, and functional connectivity analysis reduce interpretation time and inter-observer variability. This is also particularly valuable in high-throughput hospitals and stroke care pathways where rapid decision-making is also essential. As regulatory approvals for AI-based imaging tools expand, vendors are also differentiating offerings through intelligent platforms, increasing replacement demand and encouraging upgrades across mature healthcare markets.
02

Restraint: High capital costs and long replacement cycles restrict adoption in cost-sensitive healthcare systems

Brain imaging devices such as MRI and PET scanners involve high upfront investment, installation expenses, and ongoing maintenance costs. Smaller hospitals and diagnostic centers often delay purchases or rely on refurbished systems, limiting new equipment sales. Long replacement cycles of 8–12 years further suppress repeat revenue. In emerging markets, constrained healthcare budgets shift demand toward basic imaging modalities, slowing penetration of advanced brain imaging technologies.
03

Opportunity: Stroke and dementia growth in Western Europe boosting demand for MRI and CT Brain Imaging Devices and AI-driven precision neurology trials in United States biopharma hubs accelerating PET and MRI Brain Imaging Devices

The European healthcare system faces increasing demand for Brain Imaging Devices because its aging population combined with rising numbers of stroke and dementia patients requires more hospital radiology department equipment. Most new installations will use MRI systems and CT scanners because their worldwide revenue will increase to $4.79 billion for MRI from $3.29 billion in 2025 and to $2.54 billion for CT from $1.78 billion. The main unexplored potential exists in transforming outdated scanning equipment into functional MRI and low dose CT systems because Western Europe will experience the most rapid expansion of MRI based neurovascular imaging.
Brain Imaging Devices have become more popular for patient stratification and neurological biomarker measurement in clinical trials among biopharma companies and contract research organizations operating in the United States. The development of precision neurology depends on AI enabled PET scanners and multiparametric MRI platforms because PET revenue will increase from $1.20 billion in 2025 to $1.83 billion by 2030 at a high rate among all medical imaging technologies. The most promising opportunity exists in oncology neurology crossover trials because hybrid PET/MRI and cloud image analytics enable the delivery of advanced neuroimaging services at premium prices.
04

Challenge: Complex regulatory approvals and reimbursement variability slow commercialization and demand growth

Stringent regulatory pathways for imaging hardware and associated software extend time-to-market for new brain imaging devices. Simultaneously, inconsistent reimbursement policies for advanced neuroimaging procedures discourage providers from investing in premium systems. For example, limited coverage for functional or molecular brain imaging reduces scan volumes, impacting equipment utilization rates. These factors collectively dampen revenue growth and influence purchasing decisions, especially for innovative but costly imaging platforms.

Supply Chain Landscape

1

Neuroimaging Components

Analog DevicesBruker CorporationNVIDIA
2

Brain Imaging Devices

GE HealthCareSiemens HealthineersKoninklijke Philips N.V
3

Diagnostic Radiology

Canon Medical Systems CorporationHitachi High-Tech CorporationFujifilm Healthcare
4

Clinical Healthcare Providers

HospitalsDiagnostic imaging centersNeuroscience research institutes
Brain Imaging Devices - Supply Chain

Use Cases of Brain Imaging Devices in Clinical Diagnosis & Research

Clinical Diagnosis : Brain scanning tools like MRI and CT scanners play a role in the field of medicine for diagnosing brain related issues in clinical settings by identifying any structural irregularities in the brain such as tumors or strokes and allowing prompt treatment interventions to take place when needed. Major industry players such, as GE Healthcare and Siemens Healthineers are known for offering imaging technology that not only provides high quality scans but also prioritizes patient comfort and rapid diagnosis processes.
Research and Development : Brain imaging tools play a role in studying how the brain works and the connections between neural pathways for research purposes. They are essential for neuroscience studies, d research and the creation of new medications. Research pioneers such, as Canon Medical Systems utilize cutting edge technologies to improve efficiency and produce high quality images that boost research progress.
Screening and Monitoring : Hospitals and diagnostic centers are utilizing brain imaging technology frequently to observe and manage patients’ health conditions over time efficiently. This method aids healthcare providers in monitoring disease advancement and treatment efficacy while also examining brain functions and any potential irregularities over a period. Philips Healthcare stands out as a player, in the market offering advanced devices that leverage AI for automated image analysis and enhanced patient monitoring processes.

Recent Developments

Recent developments in brain imaging devices show strategic momentum toward AI-enabled workflows, hybrid imaging technologies, and portable systems as market leaders respond to rising neurological disease prevalence and demand for early, precise diagnostics. Major players like Siemens Healthineers, GE Healthcare, and Hyperfine are launching AI-integrated MRI and PET platforms and securing regulatory approvals for portable imaging, enhancing diagnostic speed and accessibility. Hybrid modalities (e.g., PET-MRI) and cloud-based neuroimaging software are reshaping clinical practice and research, reinforcing machine learning integration and multi-modal brain imaging trends.

December 2025 : Philips launches the BlueSeal Horizon helium-free 3.0T MRI platform and the Verida detector-based spectral CT system powered by AI at RSNA 2025, advancing diagnostic precision and sustainability in imaging.
November 2024 : Canon Medical Systems USA expands its AI-enabled imaging portfolio with new tools including INSTINX and Vitrea aimed at enhancing CT and brain perfusion diagnostics.
August 2024 : Philips partners with Star Imaging in India to establish the first MRI Training School, boosting local expertise in MRI and PET-MRI imaging.

Impact of Industry Transitions on the Brain Imaging Devices Market

As a core segment of the Medical Device industry, the Brain Imaging Devices market develops in line with broader industry shifts. Over recent years, transitions such as Adoption of AI in Brain Imaging and Hospital-centered imaging to distributed neurodiagnostics have redefined priorities across the Medical Device sector, influencing how the Brain Imaging Devices market evolves in terms of demand, applications and competitive dynamics. These transitions highlight the structural changes shaping long-term growth opportunities.
01

Adoption of AI in Brain Imaging

The market for Brain Imaging Devices will experience a decisive growth acceleration because AI adoption has become so fast that it now functions as a major expansion driver which will bring $984 million in new market value during 2030. ML integration with advanced neuroimaging systems enables vendors to obtain major improvements in their ability to make accurate diagnoses and their capacity to detect early lesions and predict treatment results. AI powered diagnostics shorten scan interpretation time while creating standardized measurement methods which lead to better precision neurology through earlier individualized treatment approaches. Hospitals and imaging centers now use their resources to develop automated workflow systems and integrated clinical decision support which makes AI powered Brain Imaging Devices essential for their operations. The current transition has established new competitive rules which benefit companies that unite advanced imaging equipment with powerful AI analysis systems which diagnose multiple neurological conditions.
02

Hospital-centered imaging to distributed neurodiagnostics

The industry is moving beyond centralized hospital imaging toward distributed and portable brain imaging solutions. Compact MRI, wearable EEG, and mobile neuroimaging systems are expanding access in emergency care, rural settings, and outpatient neurology clinics. This transition supports faster stroke assessment, remote neurological monitoring, and decentralized clinical trials. It is also impacting telemedicine and digital health ecosystems, as cloud-based image sharing and remote interpretation become integral. Device manufacturers are adapting designs for lower power consumption, smaller footprints, and interoperability, reshaping competitive dynamics across the broader medical imaging industry.