AI in MRI Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2021-2031

The Global AI in MRI Market is projected to expand from USD 1.73 Billion in 2025 to USD 4.58 Billion by 2031, registering a CAGR of 17.62%. This sector encompasses machine learning and deep learning technologies integrated into magnetic resonance imaging workflows to automate image reconstruction and support diagnostic interpretation. Key drivers for this growth include the urgent need to shorten scan times for better patient throughput and the demand to alleviate radiologist burnout amidst rising caseloads. Evidence of this technological shift is found in recent data from the European Society of Radiology, which reported in 2024 that 48% of its surveyed members are currently utilizing AI tools in their clinical practice.

However, a major obstacle hindering market growth is the substantial capital investment needed for deployment. The high costs involved in acquiring software licenses and upgrading IT infrastructure present a significant barrier to entry, particularly for smaller independent clinics and healthcare systems in developing regions. As a result, budgetary limitations frequently compel facilities to postpone the implementation of these tools, despite the operational efficiencies they promise.

Market Drivers

A critical shortage of radiologists alongside surging imaging workloads is a primary force driving the adoption of AI in MRI. Healthcare systems are contending with a growing gap between the volume of necessary diagnostic scans and the workforce available to interpret them, necessitating automated solutions to prevent burnout and delays in diagnosis. This imbalance is underscored by workforce data; according to the Royal College of Radiologists' '2023 Clinical Radiology Workforce Census Report' released in June 2024, while the UK clinical radiology workforce increased by 6% in 2023, the demand for CT and MRI reporting rose by 11%, intensifying pressure on existing staff.

Additionally, advancements in deep learning for enhanced image reconstruction are fueling market expansion by directly improving operational efficiency and patient throughput. Modern AI algorithms allow for the creation of high-fidelity images from undersampled raw data, drastically reducing the time patients spend in scanners without sacrificing diagnostic quality. This capability was highlighted in December 2024 when GE HealthCare introduced Sonic DL for 3D, a deep learning innovation that reduces MRI scan times by up to 86%. The potential for such efficiency has attracted significant capital, as seen in February 2024 when Ezra secured $21 million to accelerate the expansion of its AI-powered MRI services.

Market Challenges

The substantial capital investment necessary for deployment significantly restricts the growth of the Global AI in MRI Market. Implementing these solutions entails high costs related to purchasing software licenses and upgrading IT infrastructure to handle data-intensive workflows. These financial requirements establish a formidable barrier to entry, particularly for smaller independent clinics and healthcare systems in developing regions that operate with limited budgets. Consequently, facilities frequently delay adoption despite the potential for enhanced operational efficiency, preventing the market from achieving its full potential volume.

Recent statistics reinforce the impact of these economic constraints on the sector. Data from the European Society of Radiology in 2024 revealed that 49.5% of surveyed members cited costs or a lack of budget as the primary barrier to implementing AI in clinical practice. This suggests that financial hurdles are a leading reason for the hesitation among radiology departments to integrate these tools. Without the necessary funding to cover initial expenses, a significant portion of the market remains unable to leverage AI capabilities, thereby directly limiting overall market expansion.

Market Trends

The integration of Generative AI for Radiology Reporting is fast becoming a crucial solution to the administrative burdens straining diagnostic workflows. Moving beyond standard image analysis, this trend employs large language models to automatically draft, customize, and structure radiological reports based on image findings and radiologist dictation, thereby cutting down documentation time and reducing radiologist fatigue. The commercial viability of this technology was strongly confirmed in January 2025, when Rad AI raised $60 million in Series C funding to hasten the adoption of its generative AI reporting platform across major healthcare systems.

Concurrently, the rise of Vendor-Neutral AI App Stores is transforming how healthcare facilities acquire and deploy artificial intelligence tools. Instead of managing fragmented contracts with individual developers, hospitals are increasingly adopting centralized orchestration platforms that offer a single interface for managing diverse algorithms from multiple vendors. This consolidation strategy was emphasized in December 2025 at RSNA 2025, where DeepHealth unveiled AI Studio, an orchestration platform integrating over 140 AI algorithms from more than 75 vendors to streamline clinical deployment and governance.

Key Players Profiled in the AI in MRI Market

• 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.

Report Scope

In this report, the Global AI in MRI Market has been segmented into the following categories:

AI in MRI Market, by Clinical Application:

• Musculoskeletal
• Colon
• Prostate
• Liver
• Cardiovascular
• Neurology
• Lung
• Breast
• Others

AI in MRI Market, by Offering Type:

• Hardware
• Software
• Services

AI in MRI Market, by Technology:

• Deep Learning
• Machine Learning
• Computer Vision
• NLP
• Speech Recognition
• Querying Method
• Others

AI in MRI Market, by Deployment Type:

• On-premises
• Cloud

AI in MRI Market, by End Use:

• Hospitals
• Clinics
• Research & Laboratories
• Others

AI in MRI Market, by Region:

• North America
• Europe
• Asia-Pacific
• South America
• Middle East & Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global AI in MRI Market.

Available Customization

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• Detailed analysis and profiling of additional market players (up to five).

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