AI in MRI Market to Grow at CAGR of 7.86% through 2030
Growing demand
for personalized medicine and early detection of diseases like cancer and
neurological disorders is expected to drive the Global AI in MRI Market growth
in the forecast period, 2026-2030.
According to
TechSci Research report, “AI in MRI Market – Global Industry Size, Share,
Trends, Competition, Forecast & Opportunities, 2020-2030F”, the Global
AI in MRI Market stood at USD
5.22 Billion in 2024 and is expected to reach USD 8.24 Billion by 2030 with a
CAGR of 7.86% during the forecast period.
The Global AI
in MRI Market is currently experiencing a significant transformation,
driven by advancements in artificial intelligence, machine learning, and deep
learning technologies. The market is poised for rapid growth, with increasing
demand for more efficient, accurate, and cost-effective diagnostic tools across
healthcare systems globally. AI has the potential to revolutionize Magnetic
Resonance Imaging (MRI) by enhancing image quality, reducing the time required
for diagnosis, and providing more precise insights into patient conditions.
These advancements are transforming how healthcare professionals interpret MRI
results, helping them to detect and diagnose a wide range of diseases with
greater accuracy and speed. As of now, the adoption of AI in MRI is gaining
momentum across different regions, with North America leading the charge due to
its established healthcare infrastructure, technological innovation, and
significant investment in research and development.
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"Global AI in MRI Market”
The Global AI in
MRI Market is segmented into clinical applications, offering type, technology, deployment
type, end use, regional distribution, and company.
Based on deployment
type, the on-premises solutions are dominating the market, particularly
in healthcare institutions such as hospitals and research centers. This
dominance can be attributed to several key factors, including data security
concerns, existing infrastructure, and regulatory requirements. On-premises AI
solutions allow healthcare providers to have more direct control over sensitive
patient data, which is critical given the strict data privacy regulations in
regions like North America and Europe. In these areas, institutions prefer to
store data locally to ensure compliance with privacy laws such as HIPAA (Health
Insurance Portability and Accountability Act) in the U.S. or the GDPR (General
Data Protection Regulation) in the EU.
On-premises
solutions are particularly favored by larger hospitals and medical centers that
already have established IT infrastructure, including servers and dedicated
storage systems. These institutions often prefer keeping AI-driven MRI systems
within their own premises to avoid relying on external service providers for
data storage and processing. By using on-premises AI, these healthcare
providers can maintain control over their data, perform in-house image
analysis, and have immediate access to patient information when needed. This
localized approach is beneficial in environments where time is critical, such
as emergency departments or intensive care units, where waiting for cloud-based
processing may not be feasible. Some medical institutions are wary of cloud
solutions due to concerns about internet connectivity, as unstable connections
could result in delays in accessing critical imaging data.
Based on region,
Europe is the second dominant region in the Global AI in MRI Market.
Europe has made significant strides in adopting advanced technologies,
including artificial intelligence (AI) in medical imaging, with countries like
Germany, the UK, and France leading the charge. The European healthcare system
is renowned for its strong emphasis on innovation, patient care, and
accessibility, making it a key market for the integration of AI in MRI
technologies. The region's growth in AI adoption is driven by several factors,
including increasing government investments in healthcare infrastructure,
rising demand for precision medicine, and the need for efficient and
cost-effective diagnostic tools.
One of the
primary drivers of Europe's strong position in the Global AI in MRI market is
its well-established regulatory environment. The European Union (EU) has been
at the forefront of developing frameworks to ensure the safety and efficacy of
medical devices, including AI-powered tools. The EU’s Medical Device Regulation
(MDR) and In Vitro Diagnostic Regulation (IVDR) are specifically designed to
ensure that AI technologies meet the necessary standards for clinical use.
These regulations not only help in fostering trust among healthcare providers
but also encourage the development and deployment of AI-based medical
solutions. The European Commission has been actively promoting digital health
initiatives through funding and policy development, further accelerating the
adoption of AI in healthcare. In countries like Germany, AI adoption in
MRI systems is growing rapidly, especially in high-precision diagnostics for
conditions like cancer, cardiovascular diseases, and neurological disorders.
Germany’s healthcare system is recognized for its cutting-edge research and its
integration of advanced technology into clinical practice. The presence of
major healthcare institutions and research centers, as well as technology
companies like Siemens Healthineers, which is headquartered in Germany,
contributes to the country’s strong position in the Global AI in MRI market.
Siemens Healthineers is actively developing and deploying AI-based imaging
solutions, and their innovations have helped to shape the European AI in MRI
landscape.
Major companies
operating in Global AI in MRI Market are:
- Digital Diagnostics Inc.
- Tempus AI, Inc.
- Advanced Micro Devices, Inc.
- HeartFlow, Inc.
- Enlitic, Inc.
- Viz.ai, Inc.
- EchoNous Inc.
- HeartVista Inc.
- Exo Imaging, Inc.
- Nano-X Imaging Ltd.
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“The future of
the Global AI in MRI Market is highly promising, with continued growth
driven by technological advancements, rising demand for early and accurate
diagnoses, and increased healthcare investments. AI-powered MRI solutions will
further enhance diagnostic accuracy, reduce operational costs, and improve
patient outcomes through personalized treatment plans. As the adoption of AI
accelerates across hospitals, clinics, and research centers, AI will play a
crucial role in addressing the global shortage of skilled radiologists and
improving workflow efficiency. The integration of cloud-based AI solutions and
real-time data analytics will facilitate faster decision-making and enhance
collaboration. As regulatory frameworks evolve, the market will expand,
offering new opportunities for innovation, partnerships, and enhanced
healthcare delivery across regions.,” said Mr. Karan Chechi, Research Director of TechSci Research, a research-based management consulting firm.
“AI in MRI Market - Global Industry Size, Share,
Trends, Opportunity, and Forecast, Segmented By Clinical Application
(Musculoskeletal, Colon, Prostate, Liver, Cardiovascular, Neurology, Lung,
Breast, Others), By Offering Type (Hardware, Software, Services), By Technology
(Deep Learning, Machine Learning, Computer Vision, NLP, Speech Recognition,
Querying Method, Others), By Deployment Type (On-premises and Cloud), By End
Use (Hospitals, Clinics, Research & Laboratories, Others), By
Region and Competition, 2020-2030F”, has evaluated
the future growth potential of Global AI in MRI Market and provides statistics
& information on market size, structure and future market growth. The
report intends to provide cutting-edge market intelligence and help decision
makers take sound investment decisions. Besides, the report also identifies and
analyzes the emerging trends along with essential drivers, challenges, and
opportunities in Global AI in MRI Market.
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