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Report Overview

The global artificial intelligence (AI) in MRI market was valued at USD 1.68 Billion in 2025. It is poised to grow at a CAGR of 20.12% during the forecast period of 2026-2035, and reach USD 10.51 Billion by 2035. The market growth is driven by the rising demand for accurate diagnostics, increasing imaging volumes, and advancements in AI algorithms, which are driving the adoption of AI in MRI, improving efficiency, precision, and clinical decision-making.

Key Market Trends and Insights

  • By technology, the machine learning segment dominated the market, accounting for the largest revenue share of approximately 35% in the historical period.
  • Based on application, the neurology segment led the market, capturing the highest share of above 37% in the historical period.
  • North America held the largest revenue share of around 52% in the market during the historical period.

Market Size and Forecast

  • Market Size (2025): USD 1.68 Billion
  • Projected Market Size (2035): USD 10.51 Billion
  • CAGR (2026-2035): 20.12%
2025

Base Year

2019-2025

Historical Period

2026-2035

Forecast Period

  • In January 2026, Siemens Healthineers received FDA clearance for its Magnetom Flow MRI platform, integrating AI-based image reconstruction and workflow automation to improve scan speed and quality while reducing energy consumption.

  • In February 2026, GE HealthCare obtained FDA clearance for multiple MRI systems, including AI-enabled workflow solutions that enhance imaging efficiency, patient positioning, and overall diagnostic performance.

  • Rising MRI volumes, reaching 150-200 million annually, are driving adoption of real-world evidence, enhancing imaging efficiency, improving diagnostics, and supporting growing global demand.

Compound Annual Growth Rate

20.12%

Value in USD Billion

2026-2035


*this image is indicative*

Artificial Intelligence (AI) in MRI Market Overview

Artificial Intelligence (AI) in MRI is transforming diagnostic imaging by improving accuracy, workflow efficiency, and clinical decision-making. The growing integration of advanced algorithms is enhancing image reconstruction and analysis capabilities. Notably, clinical trial optimization is benefiting from AI-enabled imaging insights, supporting faster evaluations and improved patient stratification, thereby driving adoption across healthcare systems and research settings globally. The market reached a value of approximately USD 1.68 Billion in 2025.

Artificial Intelligence in MRI Market Growth Drivers

Rising Global MRI Volumes Driving AI Integration and Market Expansion

The increasing volume of diagnostic imaging and growing burden of chronic diseases are key drivers of market growth. Globally, around 150-200 million MRI scans are performed annually, reflecting strong demand for advanced imaging. This rising utilization is accelerating adoption of AI solutions, particularly leveraging real-world evidence to enhance imaging efficiency, improve diagnostic accuracy, and support data-driven clinical decision-making across healthcare systems.

Artificial Intelligence in MRI Market Trends

Key trends shaping the market include increasing AI integration, enhanced imaging accuracy, workflow automation, and growing adoption of real-world evidence in diagnostics.

Advancements in AI-Enabled MRI Systems Driving Market Development and Efficiency

Increasing demand for faster imaging, improved diagnostic accuracy, and cost-efficient healthcare solutions is shaping key market trends. For instance, in January 2026, Siemens Healthineers received FDA clearance for its Magnetom Flow MRI platform, integrating AI-based image reconstruction and workflow automation. This development is expected to accelerate the adoption of advanced MRI technologies, with quality control AI enhancing image consistency, reducing scan times, and improving operational efficiency across radiology departments globally.

Artificial Intelligence in MRI Market Segmentation

Market Breakup by Type

Market Breakup by Technology

Market Breakup by Application

  • Musculoskeletal
  • Cardiovascular
  • Neurology
  • Lung
  • Breast
  • Others

Market Breakup by Deployment Type

  • Cloud Based
  • On-Premise

Market Breakup by End User

  • Hospitals and Clinics
  • Diagnostic Centers
  • Research and Academic Institutes
  • Others

Market Breakup by Region

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa

Artificial Intelligence in MRI Market Share

The neurology segment dominated the market by application, accounting for approximately 37% share in the historical period, driven by rising neurological disorders and increasing demand for advanced brain imaging. AI-enabled MRI solutions are enhancing diagnostic precision and workflow efficiency. The growing use of imaging data is further supporting real-world evidence, enabling improved clinical insights, patient stratification, and data-driven decision-making across neurological diagnostics globally.

Global Artificial Intelligence in MRI Market Analysis by Region

North America held the largest revenue share of about 52% in the historical period, supported by advanced healthcare infrastructure and early adoption of AI technologies. The region benefits from strong investments in imaging innovation and regulatory support. Increasing deployment of AI tools is strengthening quality control AI, improving image consistency, optimizing scan workflows, and enhancing overall diagnostic efficiency across radiology departments in the region.

Leading Players in the Artificial Intelligence in MRI Market

The key features of the market report comprise patent analysis, grants analysis, funding and investment analysis and strategic initiatives by the leading players. The major companies in the market are as follows:

Resonance Health Ltd

Resonance Health specializes in advanced AI-driven MRI imaging solutions. It is headquartered in Burswood, Western Australia, and was established in 2004. Its leading products include AI-powered FerriSmart and HepaFatSmart, which provide non-invasive assessments of liver conditions, showcasing cutting-edge precision in MRI-based diagnostics.

Samsung Electronics Co.Ltd

Samsung Electronics was established in 1969 and headquartered in Suwon, South Korea. It is a leading player in medical imaging technology. It offers AI-enhanced solutions such as advanced knee cartilage visualization and imaging innovations. These technologies improve diagnostic accuracy, aligning with Samsung's commitment to healthcare advancements.

GE Healthcare

GE HealthCare, headquartered in Chicago, USA, was established in 1892. It leads the global AI in the MRI market with advanced solutions like SIGNA™ MRI, AIR™ Recon DL, and Sonic DL™, enabling faster scans and better imaging. Its AI-powered innovations enhance diagnostic precision and workflow efficiency, transforming patient care.

Koninklijke Philips N.V.

Philips, headquartered in Amsterdam, Netherlands, was established in 1891. It is a leading player in artificial intelligence in the MRI market. They offer advanced MRI solutions like the Ingenia Ambition MR scanner, which features BlueSeal technology for helium-free operations. Their portfolio also includes AI-powered imaging systems such as SmartSpeed for faster, high-quality scans.

*Please note that this is only a partial list; the complete list of key players is available in the full report. Additionally, the list of key players can be customized to better suit your needs.*

Other key players in the market are Zebra Medical Vision Inc, Arterys Inc., Nuance Communications Inc., OWKIN Inc., and NVIDIA Corporation.

Key Questions Answered in the Artificial Intelligence in MRI Market

  • What was the artificial intelligence in MRI market value in 2025?
  • What is the artificial intelligence in MRI market forecast outlook for 2026-2035?
  • What major factors aid the demand for artificial intelligence in MRI market?
  • How has the market performed so far, and how is it anticipated to perform in the coming years?
  • What are the market’s major drivers, opportunities, and restraints?
  • What are the major artificial intelligence in MRI market trends?
  • Which type is expected to dominate the market segment?
  • Which technology is projected to lead the market segment?
  • Which application is likely to lead the market segment?
  • Which deployment type is projected to lead the market segment?
  • Which end user is likely to dominate the market segment?
  • Who are the key players in the artificial intelligence in MRI market?
  • What are the current unmet needs and challenges in the market?
  • How are partnerships, collaborations, mergers, and acquisitions among the key market players shaping the market dynamics?

*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*

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Report Summary

Explore our key highlights of the report and gain a concise overview of key findings, trends, and actionable insights that will empower your strategic decisions.

Key Highlights of the Report

Please note that the figures mentioned in the description serve as estimates and may vary from the actual figures presented in the final report.

REPORT FEATURES DETAILS
Base Year 2025
Historical Period 2019-2025
Forecast Period 2026-2035
Scope of the Report

Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:

  • Type
  • Technology
  • Application
  • Deployment Type
  • End User
  • Region
Breakup by Type
  • Hardware
  • Software
  • Services
Breakup by Technology
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • NLP (Natural Language Processing)
  • Others
Breakup by Application
  • Musculoskeletal
  • Cardiovascular
  • Neurology
  • Lung
  • Breast
  • Others
Breakup by Deployment Type
  • Cloud Based
  • On-Premises
Breakup by End User
  • Hospitals and Clinics
  • Diagnostic Centers
  • Research and Academic Institutes
  • Others
Breakup by Region
  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa
Market Dynamics
  • Market Drivers and Constraints
  • SWOT Analysis
  • PESTEL Analysis
  • Porter’s Five Forces Model 
  • Key Demand Indicators
  • Key Price Indicators
  • Industry Events, Initiatives, and Trends 
  • Value Chain Analysis
Supplier Landscape
  • Market Structure
  • Company Profiles
    • Financial Analysis
    • Product Portfolio
    • Demographic Reach and Achievements
    • Company News and Developments
    • Certifications
Companies Covered
  • Resonance Health Ltd
  • Zebra Medical Vision Inc
  • Samsung Electronics Co.Ltd
  • Arterys Inc.
  • GE Healthcare
  • Koninklijke Philips N.V.
  • Nuance Communications Inc.
  • NVIDIA Corporation
  • OWKIN INC.

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