The Business Research Company’s report on the Artificial Intelligence In Magnetic Resonance Imaging (MRI) Market provides insights into the global market size, growth rate, regional distribution, competitive landscape, key segments, emerging trends, and strategic opportunities.
How are market drivers shaping the future growth trajectory of the artificial intelligence in magnetic resonance imaging (mri) industry?
The increased number of diagnostic procedures is expected to propel the growth of artificial intelligence in magnetic resonance imaging (MRI) market. Diagnostic procedures refer to medical tests, examinations, or techniques conducted to identify, evaluate, or confirm the presence of a disease, medical condition, or abnormality in a patient. Artificial intelligence is employed in MRI diagnostic procedures to improve accuracy and efficiency in detecting and characterizing abnormalities, leading to more precise and timely diagnoses for better patient outcomes in less time. For instance, in March 2023, according to the National Health Service (NHS), an England-based publicly funded healthcare system, approximately 1,628,300 patients were awaiting critical diagnostic tests in England, representing a 59,400-patient increase from March 2022. Additionally, in March 2023, a total of 2,302,400 diagnostic tests were performed. This is the case, with 223,100 more than in March 2022. Therefore, the increased number of diagnostic procedures is driving the growth of artificial intelligence in magnetic resonance imaging (MRI) market.
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What is the estimated market size of the artificial intelligence in magnetic resonance imaging (mri) sector by 2029, based on current forecasts?
The artificial intelligence in magnetic resonance imaging (MRI) market size has grown strongly in recent years. It will grow from $5.98 billion in 2024 to $6.41 billion in 2025 at a compound annual growth rate (CAGR) of 7.1%. The growth in the historic period can be attributed to data volume expansion, clinical demand for accuracy, rise of deep learning algorithms, research and development investments, diagnostic imaging innovations
The artificial intelligence in magnetic resonance imaging (MRI) market size is expected to see strong growth in the next few years. It will grow to $8.92 billion in 2029 at a compound annual growth rate (CAGR) of 8.6%. The growth in the forecast period can be attributed to ai-enhanced image reconstruction, personalized MRI imaging, ai for lesion detection and classification, increased MRI automation, ai-guided MRI protocols. Major trends in the forecast period include quantitative imaging with ai, ai in functional MRI (fMRI), explainable ai in diagnostic interpretation, real-time ai analysis, ai-based image enhancement:.
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#Who are the top players in the artificial intelligence in magnetic resonance imaging (mri) market?
Major companies operating in the artificial intelligence in magnetic resonance imaging (MRI) market include Intel Corporation, International Business Machines Corporation, Bayer AG, Toshiba Corporation, NVIDIA Corporation, Siemens Healthcare GmbH, Fujifilm Holdings Corporation, Koninklijke Philips N.V., GE HealthCare Technologies Inc., Nuance Communications Inc., Esaote SPA, Paige AI Inc., Orcam Inc., Aidoc Medical, Lunit Inc., Viz.ai Inc., Digital Diagnostics Inc., Owkin Inc., Aurora Imaging Technologies Inc., Quibim SL, Mirada Medical Ltd., Arterys Inc., Imbio LLC, QMENTA, Voxel Technology, Sanrad Medical Systems Pvt ltd, EchoNous Inc., Enlitic Inc., InformAI LLC, Nano X Imaging Ltd.
#What are the major trends in the artificial intelligence in magnetic resonance imaging (mri) market?
Technology advancement has emerged as a key trend gaining popularity in artificial intelligence in magnetic resonance imaging (MRI) market. Major companies operating in artificial intelligence in magnetic resonance imaging (MRI) market are focused on advancements in AI (artificial intelligence) technology to meet specific demands and sustain their position in the market. For instance, in June 2023, GE HealthCare Technologies Inc., a US-based manufacturing company, introduced Sonic DL, an FDA-cleared AI deep learning technology for faster MRI. This technology acquires high-quality magnetic resonance images up to 12 times faster than conventional methods, enabling cardiac imaging within a single heartbeat. It extends access to patients with arrhythmias and breath-holding challenges, ensuring swift, consistent, and more comfortable exams with up to an 83% reduction in scan time for rapid, high-quality MRI.
Which geography holds the highest artificial intelligence in magnetic resonance imaging (mri) market share?
North America was the largest region in the artificial intelligence in magnetic resonance imaging (MRI) market in 2024. The regions covered in the artificial intelligence in magnetic resonance imaging (MRI) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
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How do different segments contribute to the overall expansion of the artificial intelligence in magnetic resonance imaging (mri) market?
The artificial intelligence in magnetic resonance imaging (MRI) market covered in this report is segmented –
1) By Offering: Hardware, Software, Services
2) By Technology: Deep Learning, Machine Learning, Computer Vision, NLP (Natural Language Processing), Speech Recognition, Querying Method, Other Technologies
3) By Deployment Type: On-Premise, Cloud
4) By Clinical Applications: Musculoskeletal, Colon, Prostate, Liver, Cardiovascular, Neurology, Lung, Breast, Other Clinical Applications
5) By End-User: Clinics, Research And Laboratories, Other End Users
Subsegments:
1) By Hardware: AI-Enabled MRI Scanners, Image Processing Units, Data Storage Devices
2) By Software: Image Analysis Software, Diagnostic Software, Workflow Optimization Tools
3) By Services: AI Integration Services, Maintenance And Support Services, Training And Consulting Services
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How is the artificial intelligence in magnetic resonance imaging (mri) market defined?
Artificial intelligence in magnetic resonance imaging (MRI) refers to integrating advanced computational algorithms and machine learning techniques to improve and augment the capabilities of magnetic resonance imaging (MRI) imaging processes, a non-invasive medical imaging technique that creates detailed, high-resolution images of the body’s internal structures. AI enables greater resolutions in MRI while decreasing scan time by requiring less data to build those upgraded pictures.
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