Global Artificial Intelligence Magnetic Resonance Imaging Market Growth 2025-2031

The global Artificial Intelligence Magnetic Resonance Imaging market size is predicted to grow from US$ 7920 million in 2025 to US$ 13888 million in 2031; it is expected to grow at a CAGR of 9.8% from 2025 to 2031.

The impact of the latest U.S. tariff measures and the corresponding policy responses from countries worldwide on market competitiveness, regional economic performance, and supply chain configurations will be comprehensively evaluated in this report.

Artificial Intelligence Magnetic Resonance Imaging refers to the use of artificial intelligence technology, especially machine learning and deep learning algorithms, to optimize the MRI process, including image reconstruction, scan acceleration, image quality improvement, automated diagnosis and clinical decision support. These technologies can improve imaging efficiency, reduce scanning time, improve image clarity, reduce cost, and provide doctors with more accurate diagnostic support, so as to improve the patient's diagnosis and treatment experience and treatment effect.

Market opportunities and key drivers:

Artificial Intelligence Magnetic Resonance Imaging (AI MRI) is experiencing unprecedented opportunities for development, with the core driving forces coming from technological innovation, policy support, and clinical demand in a triple resonance. For instance, deep learning algorithms can reduce scanning time by 30% to 50%, increase image reconstruction speed by 40%, and significantly reduce artifact interference; at the same time, AI-assisted diagnostic systems (such as automatic brain tumor recognition) can reduce doctors' reading time by 60% and increase accuracy to over 95%. At the policy level, China's "14th Five-Year Plan" prioritizes AI healthcare, with a direct fiscal allocation of 8.5 billion yuan in 2023 to support related research and development, and simplifying the approval process to within 4 months, accelerating technology implementation; the FDA's "AI Priority" approval channel also prompts international giants (such as GE and Siemens) to accelerate their layout. On the clinical demand side, the aging population and the increasing burden of chronic diseases drive a surge in precision medical demand - AI MRI is already applied in over 70% of neurology and cardiovascular departments, and the penetration rate in grassroots medical institutions has increased from 60% to 85%, filling the gap of a shortage of radiologists.

Challenges and future directions:

Despite the broad prospects, AI MRI still faces multi-dimensional challenges in data, technology, and regulation. The data bottleneck is the top priority: the fragmentation of medical data and privacy barriers lead to a lack of high-quality training samples, for example, only 15% of protein interaction data meets the requirements of AI models, and patient gene anonymization weakens the accuracy of target prediction; the insufficient algorithm explainability ("black box problem") makes 30% of AI diagnostic results difficult to be adopted by clinicians, and the shortage of interdisciplinary talents further prolongs the technology transformation cycle. Regulatory and ethical risks are also prominent: there are no unified standards for the attribution of AI diagnosis responsibility in various countries, and algorithm bias may ignore specific groups (such as the 40% missing rate of African genetic data), exacerbating medical inequality. The future direction will focus on technology integration and ecosystem reconstruction: on one hand, multimodal AI models (such as AlphaFold 3 integrating structure prediction and molecular dynamics) and quantum computing will break through the computational limitations of protein folding simulation; on the other hand, federated learning technology can integrate cross-border data under privacy protection to build a "global brain" for diagnosis. At the industrial level, the "AI + remote medical" model (such as 5G real-time image transmission) will be extended to the grassroots market, and blockchain technology is expected to establish a new paradigm for data traceability and intellectual property rights confirmation, promoting the industry to move from "single breakthrough" to an intelligent ecosystem of "disease network targeting".

LP Information, Inc. (LPI) ' newest research report, the “Artificial Intelligence Magnetic Resonance Imaging Industry Forecast” looks at past sales and reviews total world Artificial Intelligence Magnetic Resonance Imaging sales in 2024, providing a comprehensive analysis by region and market sector of projected Artificial Intelligence Magnetic Resonance Imaging sales for 2025 through 2031. With Artificial Intelligence Magnetic Resonance Imaging sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Artificial Intelligence Magnetic Resonance Imaging industry.

This Insight Report provides a comprehensive analysis of the global Artificial Intelligence Magnetic Resonance Imaging landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Artificial Intelligence Magnetic Resonance Imaging portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Artificial Intelligence Magnetic Resonance Imaging market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Artificial Intelligence Magnetic Resonance Imaging and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Artificial Intelligence Magnetic Resonance Imaging.

This report presents a comprehensive overview, market shares, and growth opportunities of Artificial Intelligence Magnetic Resonance Imaging market by product type, application, key manufacturers and key regions and countries.

Segmentation by Type:
1.5 T
3 T
Others

Segmentation by Application:
Clinical Application
Scientific Research

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analysing the company's coverage, product portfolio, its market penetration.
GE Healthcare
Philips Healthcare
Siemens Healthineers
Fujifilm
Canon
Neusoft Medical
United Imaging Intelligence
Wandong Medical

Key Questions Addressed in this Report

What is the 10-year outlook for the global Artificial Intelligence Magnetic Resonance Imaging market?

What factors are driving Artificial Intelligence Magnetic Resonance Imaging market growth, globally and by region?

Which technologies are poised for the fastest growth by market and region?

How do Artificial Intelligence Magnetic Resonance Imaging market opportunities vary by end market size?

How does Artificial Intelligence Magnetic Resonance Imaging break out by Type, by Application?

Please note: The report will take approximately 2 business days to prepare and deliver.