Top Market Shifts Transforming the Artificial Intelligence in Medical Imaging Market Landscape: Key Insights

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What Is the Expected CAGR for the Artificial Intelligence in Medical Imaging Market Through 2025?
The scope of artificial intelligence within medical imaging has expanded dramatically lately, charting a course from a valuation of $3.42 billion in 2024 to an anticipated $4.44 billion by 2025, reflecting a vigorous compound annual growth rate of 29.9%; this historical upward trajectory stems from several key factors, including escalating requirement for CT scans enhanced by AI, the increasing incidence of cancer cases globally, greater utilization of cloud-based technologies, the aging global demographic, and the successful deployment of supportive governmental programs.

What's the Projected Size of the Global Artificial Intelligence in Medical Imaging Market by 2029?
The market encompassing artificial intelligence within medical imaging is projected to undergo rapid expansion in the ensuing years, reaching a valuation of $13.11 billion by 2029, driven by a robust compound annual growth rate (CAGR) of 31.1%. This surge over the projection timeframe stems from several key factors: a heightened focus on alleviating the burdens on radiologists, the escalating numbers of elderly individuals, augmented levels of investment, the increasing necessity to process substantial and intricate data sets, and a greater need for AI-enhanced computed tomography applications. Significant developments shaping this period involve the application of computer vision methods, which empower AI algorithms to interpret medical visuals; the technological maturation of deep learning; product enhancements across modalities such as nuclear medicine; and innovations within ultrasound systems and magnetic resonance imaging devices.

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Top Growth Drivers in the Artificial Intelligence in Medical Imaging Industry: What's Accelerating the Market?
The expansion of imaging technologies is anticipated to fuel the advancement of Artificial Intelligence within the medical imaging sector moving ahead. These imaging modalities encompass the various medical visualization methods employed for both diagnosing conditions and guiding treatments. AI software is integrated into these modalities to aid in tasks such as recreating images, minimizing visual noise, and correcting for distortions, ultimately resulting in sharper and more precise CT scans. Demonstrating this trend, data from the UK's National Health Service indicated that during the year spanning April 2021 through March 2022, a total of 43.3 million imaging examinations were documented in England, while the single month of March 2022 alone witnessed approximately 3.67 million such tests; consequently, the proliferation of imaging procedures is actively contributing to the market expansion of AI in medical imaging.

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What Trends Will Shape the Artificial Intelligence in Medical Imaging Market Through 2029 and Beyond?
Leading corporations within the sphere of artificial intelligence applied to medical imaging are engaged in pioneering the creation of novel offerings, notably MRI apparatus that incorporate AI capabilities, with the aim of enhancing patient care. An MRI system augmented by AI constitutes a standard Magnetic Resonance Imaging device that has been integrated with artificial intelligence technology. As an illustration, in the month of December 2023, GE Healthcare, an American medical technology firm, introduced SIGNA Champion, an MRI system featuring integrated AI. This SIGNA Champion model incorporates diverse, AI-powered workflow advancements such as AIR Recon DL and Sonic DL, intended to boost operational efficiency and ensure superior image fidelity for every operator, irrespective of their familiarity level. A distinct advantage of the SIGNA Champion lies in its spacious internal bore, which provides ample room for patients, coupled with impressively brief scanning durations.

What Are the Main Segments in the Artificial Intelligence in Medical Imaging Market?
The artificial intelligence in medical imagingmarket 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

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Which Top Companies are Driving Growth in the Artificial Intelligence in Medical Imaging Market?
Major companies operating in the artificial intelligence in medical imaging market report 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

Which Regions Will Dominate the Artificial Intelligence in Medical Imaging Market Through 2029?
North America was the largest region in the AI in medical imaging market in 2024. 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, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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