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Artificial Intelligence in Medical Imaging Market Forecast 2026–2035: How to Leverage Market Growth

March 2, 2026 by Marketing Posting

Uncover key drivers, emerging technologies, and competitive movements shaping the artificial intelligence in medical imaging market from 2026–2035 with trusted insights from The Business Research Company

What growth pattern is forecast for the Artificial Intelligence in Medical Imaging Market size between 2026 and 2035?

The artificial intelligence in medical imaging market has experienced substantial growth in recent years. It is anticipated to expand from $4.44 billion in 2025 to $5.82 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 31.0%. The historical increase in this market can be linked to several factors, including a rise in medical imaging procedure volumes, a shortage of skilled radiologists, the growing prevalence of chronic and complex diseases, the expansion of digital imaging infrastructure, and the development of hospital imaging departments.

The artificial intelligence in medical imaging market size is forecast to experience significant expansion in the coming years. It is projected to achieve a value of $17.19 billion by 2030, growing at a compound annual growth rate (CAGR) of 31.1%. This anticipated growth during the forecast period is driven by factors such as the increasing adoption of AI-powered clinical decision support, rising investments in precision diagnostics, the expansion of AI utilization across various imaging modalities, a growing demand for faster diagnostic turnaround times, and the increasing integration of AI with hospital information systems. Prominent trends expected in this period include the rising uptake of AI-assisted diagnostic imaging tools, the increased use of deep learning for image interpretation, the growing integration of AI into radiology workflow automation, the expansion of AI-based predictive diagnostic models, and an enhanced focus on the accuracy of early disease detection.

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Which Drivers Are Impacting Market Performance In The Artificial Intelligence in Medical Imaging Market?

The expansion of imaging modalities is anticipated to drive the advancement of AI in the medical imaging market going forward. Imaging modalities are defined as the various medical imaging methods utilized to visualize the body for diagnostic and therapeutic purposes. AI algorithms find application within medical techniques to aid in image reconstruction, noise reduction, and artifact correction, resulting in sharper and more precise CT images. As an example, in June 2025, according to the National Health Service, a UK-based government department, 47.2 million imaging tests were reported in England in the year to March 2024, compared with 45.0 million in the previous year, an increase of 4.8%. Consequently, the expanding use of imaging modalities is boosting the progression of AI in the medical imaging market.

What Segment Types Are Examined In The Artificial Intelligence in Medical Imaging Market?

The artificial intelligence in medical imaging market covered in this report is segmented –

1) By Modality: Computed Tomography (CT) Scan, Magnetic Resonance Imaging (MRI), X-rays, Ultrasound, Nuclear Imaging

2) By Technology: Deep Learning, Natural Language Processing (NLP), Other Technologies

3) By Application: Neurology, Respiratory And Pulmonary, Cardiology, Breast Screening, Orthopedics

4) By End-Use: Hospitals, Diagnostic Imaging Centers, Other End-Users

Subsegments:

1) By Computed Tomography (CT) Scan: Cardiac CT, CT Angiography, Lung CT, Abdominal CT, Head CT

2) By Magnetic Resonance Imaging (MRI): Brain MRI, Spine MRI, Musculoskeletal MRI, Abdominal MRI, Functional MRI

3) By X-rays: Chest X-rays, Dental X-rays, Mammography, Bone X-rays, Fluoroscopy

4) By Ultrasound: Abdominal Ultrasound, Cardiac Ultrasound, Obstetric And Gynecological Ultrasound, Vascular Ultrasound, Musculoskeletal Ultrasound

5) By Nuclear Imaging: Positron Emission Tomography (PET), Single Photon Emission Computed Tomography (SPECT), Bone Scans, Thyroid Scans, Cardiac Scans

Which Trends Are Influencing The Performance And Direction Of The Artificial Intelligence in Medical Imaging Market?

Leading firms in the AI in the medical imaging market are creating new solutions, including AI-integrated MRI systems, with the goal of improving patient care. These AI-enabled MRI systems are essentially conventional Magnetic Resonance Imaging (MRI) devices enhanced with artificial intelligence (AI) technology. As an illustration, in December 2023, GE Healthcare, a US-based medical technology enterprise, introduced SIGNA Champion, an MRI system featuring AI capabilities. The SIGNA Champion is engineered to provide multiple AI-powered workflow functionalities such as AIR Recon DL and Sonic DL, enhancing operational efficiency and ensuring superior image quality for users across all levels of expertise. A distinctive aspect of SIGNA Champion is its blend of ample patient clearance within the bore and reduced scan durations.

Who Are The Prominent Global Companies Shaping The Artificial Intelligence in Medical Imaging Market Landscape?

Major companies operating in the artificial intelligence in medical imaging market are Google LLC, Microsoft Corporation, IBM Watson Health, Intel Corporation, NVIDIA Corporation, Siemens Healthineers, Koninklijke Philips N.V, GE Healthcare, Agfa-Gevaert Group/Agfa HealthCare, Aidoc Medical, Arterys Inc., Lunit Inc., Butterfly Network Inc., Digital Diagnostics Inc., Caption Health Inc., EchoNous Inc., Covera Health Inc., Nanox Imaging LTD., AZmed, InformAI LLC, Avicenna AI, ImageBiopsy Lab, Nucleai, Icometrix NV., Gleamer

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Which Geographic Areas Are Emerging As Strong Markets For The Artificial Intelligence in Medical Imaging Market?

North America was the largest region in the AI in medical imaging market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in medical imaging market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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