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Major Growth Driver Identified in 2025 AI in Medical Imaging Market: Surge In AI Adoption In Radiology Propels Growth Of The AI in Medical Imaging Market
Use code ONLINE30 to get 30% off on global market reports and stay ahead of tariff changes, macro trends, and global economic shifts.AI in Medical Imaging Market Size Valuation Forecast: What Will the Market Be Worth by 2025?
The market size for AI in medical imaging has significantly expanded in the past few years. The market, which was valued at $2.8 billion in 2024, is projected to rise to $3.81 billion in 2025, boasting a compound annual growth rate (CAGR) of 36.0%. Factors contributing to this growth during the historic period include a surge in medical imaging data, a heightened need for better diagnostic accuracy, a rising prevalence of chronic diseases, improved workflow efficiency, and escalated healthcare costs.
AI in Medical Imaging Market Size Forecast: What's the Projected Valuation by 2029?
The AI sector for medical imaging is predicted to witness considerable expansion in the coming years, escalating to $14.64 billion by 2029 with a CAGR of 40.0%. The projected growth during this forecast period can be credited to its amalgamation with electronic healthcare records (EHR), its extended usage in image-oriented interventions, the advent of AI-driven personalized medication, a heightened emphasis on preventive healthcare, and the worldwide increase in telemedicine. Key trend forecasts for this period involve improved AI imaging methodologies, mutual data exchange and compatibility, development of regulatory structures, heightened industry partnerships, and an increasing focus on understandable AI.
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What Are the Drivers Transforming the AI in Medical Imaging Market?
The surge in the uptake of AI within the realm of radiology is set to drive the growth of the AI in medical imaging market. Radiology is a medical field dedicated to disease and injury diagnosis and treatment via the use of medical imaging techniques. The application of AI in medical imaging is prevalent within radiology, amplifying the interpretation of medical images, and enhancing the efficiency and precision of radiological processes such as automated image analysis, computer-aided detection, and image reconstruction and enhancement. For example, in October 2023, the Radiological Society of North America, a non-profit organization based in the U.S., shared that 75% of more than 500 FDA-cleared AI algorithms are predominantly used in radiology, a rise from 70% in 2021. Besides, Itransition, a software development company based in the U.S., indicated in November 2022 that 30 percent of radiologists incorporated AI into their clinical practices in 2022, while 20 percent are considering the procurement of AI tools in the upcoming years. Thus, the escalating integration of AI within radiology will fuel the AI in the medical imaging market.
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What Long-Term Trends Will Define the Future of the AI in Medical Imaging Market?
The current trend in the AI in medical imaging market is predominantly driven by technological advancements. To maintain a competitive edge in the AI in medical imaging market, leading companies are constantly introducing novel technologies. For example, in November 2022, Viz.AI inc., a US-based medical imaging firm, unveiled its revolutionary AI-powered radiology suite. This cutting-edge technology is designed to seamlessly integrate with the picture archiving and communication systems (PACS) used by health care institutions, allowing secure and facile access to imaging data throughout departments and expediting patient diagnoses. In addition, it incorporates unique functionalities like AI-driven alerts, which immediately inform radiologists about suspected diseases; prioritized worklists, aiding radiologists in focusing on critical cases; and real-time communication tools, fostering collaboration amongst radiologists and other care team members. These advancements lead to enhanced patient outcomes, cost reduction, and improved efficiency.
Which Segments in the AI in Medical Imaging Market Offer the Most Profit Potential?
The AI in medical imaging market covered in this report is segmented -
1) By Technology: Deep Learning, Natural Language Processing (NLP), Other Technologies
2) By Solution: Software Tools, Services
3) By Modality: Computed Tomography (CT) Scan, Magnetic Resonance Imaging (MRI), X-Rays, Ultrasound, Nuclear Imaging
4) By Application: Digital Pathology, Oncology, Cardiovascular, Neurology, Lung (Respiratory System), Breast (Mammography), Liver (GI), Oral Diagnostics, Other Applications
5) By End-Use: Hospitals, Diagnostic Imaging Centers, Other End-Users
Subsegments:
1) By Deep Learning: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning
2) By Natural Language Processing (NLP): Speech Recognition, Text Analytics, Information Extraction, Clinical Decision Support Systems
3) By Other Technologies: Machine Learning, Computer Vision, Image Processing Algorithms, Predictive Analytics Tools
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Which Firms Dominate the AI in Medical Imaging Market by Market Share and Revenue in 2025?
Major companies operating in the AI in medical imaging market include Alphabet Inc, Microsoft Corporation, The International Business Machines Corporation, Sanofi, Oracle Corporation, Merative, Medtronic plc, Nvidia Corporation, Siemens Healthineers AG, Koninklijke Philips NV, Stryker, GE HealthCare Technologies Inc., Lunit Inc., DeepMind, Viz.AI inc., Aidoc, AZmed, Digital Diagnostics Inc., Butterfly Network Inc., Cleerly, Behold.ai, Butterfly Network, Enlitic, Nano-X Imaging Ltd., Arterys, Caption Health, EchoNous Inc., Gleamer, CloudMedX, CellmatiQ GmbH, Mediwhale, dentalXrai GmbH
Which Regions Offer the Highest Growth Potential in the AI in Medical Imaging Market?
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 AI in medical imaging market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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