The global artificial intelligence in MRI market was valued at USD 3.46 Billion in 2024, driven by advancements in deep learning techniques across the globe. The market is anticipated to grow at a CAGR of 10.80% during the forecast period of 2025-2034, with the values likely to reach USD 9.65 Billion by 2034.
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The global AI in MRI market is expanding rapidly driven by the advancements in image reconstruction, improved diagnostic accuracy, and automated disease detection.
In February 2024, Philips with Synthetic MR launched the Smart Quant Neuro 3D. It is an AI-driven tool that enhances neurology care by improving diagnostic accuracy and workflow efficiency for brain disorders, marking significant AI integration in MRI for neurology.
North America holds a substantial share of the market, with growth expected due to rising healthcare investments and demand for AI-driven medical imaging solutions.
Artificial intelligence transforms magnetic resonance imaging (MRI) by greatly enhancing image quality, speed, and precision. Algorithms driven by AI efficiently minimize noise, improve resolution, and assist in identifying anomalies, resulting in quicker and more accurate diagnoses. By examining large datasets, AI enhances MRI processes for radiologists, facilitating tailored patient care. The market is significantly expanding, fueled by governmental support for digital healthcare, greater acceptance of AI-driven solutions, and the growing need for accurate medical diagnoses. Sophisticated AI techniques and plentiful imaging data further drive the growth.
Advancements in deep learning algorithms to Elevate the Market Value
Improvements in deep learning techniques, including convolutional neural networks (CNN) integrated with attention mechanisms are driving market expansion. These algorithms enhance the precision of diagnostics and the accuracy of prognosis predictions, especially in high-risk conditions such as endometrial cancer. In November 2024, a study published in Scientific Reports highlighted the potential of deep learning algorithms in MRI for diagnosing and predicting endometrial cancer. Innovations in AI-assisted MRI imaging bolster its function in accurate, risk-oriented diagnosis and recurrence forecasting, greatly improving patient care and results.
The market is witnessing several trends and developments to improve the current scenario. Some of the notable trends are as follows:
The market report offers a detailed analysis of the market based on the following segments:
Market Breakup by Type
Market Breakup by Technology
Market Breakup by Application
Market Breakup by Deployment Type
Market Breakup by End User
Market Breakup by Region
Segmentation Based on Type to Witness Substantial Growth
The market is segmented into hardware, software, and services based on the type. The software sector holds a significant share of the market owing to the rising need for AI-driven applications and solutions in the healthcare industry. MRI systems powered by AI utilize sophisticated software to analyze extensive datasets, train intricate deep-learning models, and offer intuitive interfaces for radiologists. With the advances in terms of sophistication, powerful software platforms are crucial for their development, training, deployment, and management.
The market is divided into regions such as North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. The market in North America is experiencing substantial growth. The region's sophisticated healthcare facilities and adoption of technology aid its expansion. The Asia Pacific region is also expanding rapidly, as countries such as China, India, and Japan are investing significantly in AI healthcare innovations. Increasing medical tourism and a substantial patient population are anticipated to augment the demand for sophisticated diagnostic equipment in the region.
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 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 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, 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.
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 include Zebra Medical Vision Inc., Arterys Inc., Nuance Communications Inc., NVIDIA Corporation, and OWKIN Inc.
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*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 FEATURES | DETAILS |
| Base Year | 2024 |
| Historical Period | 2018-2024 |
| Forecast Period | 2025-2034 |
| Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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| Breakup by Type |
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| Breakup by Technology |
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| Breakup by Application |
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| Breakup by Deployment Type |
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| Breakup by End User |
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| Breakup by Region |
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| Market Dynamics |
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| Supplier Landscape |
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