AI in Medical Imaging Market Size, Share, Industry insights | Trends & Growth Forecast 2025

"The global AI in medical imaging market was valued at US$ 1.29 Billion in 2023. The market size reached US$ 1.58 Billion in 2024 and is expected to reach US$ 11.25 Billion by 2033, growing at a CAGR of 24.6% during the forecast period 2025-2033." As per DataM intelligence research report

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United States: Recent Industry Developments

✅ In June 2025, Northwestern Medicine introduced a generative AI system fully integrated into clinical radiology. This AI system has enhanced productivity by 40% without compromising diagnostic accuracy, offering a breakthrough solution to the global radiologist shortage.

✅ In April 2025, the University of Pittsburgh partnered with Virginia-based contractor Leidos in a $10 million, five-year initiative to combat cancer and heart disease using artificial intelligence. The collaboration leverages the expertise of Pitt's Computational Pathology and AI Center of Excellence (CPACE), aiming to improve diagnostic speed and accuracy, particularly in underserved communities.

✅ In March 2025, the FDA scheduled a meeting of its Digital Health Advisory Committee (DHAC) to evaluate AI-enabled digital mental health devices. These technologies, such as chatbots and virtual therapists, have rapidly expanded and offer potential solutions to the growing mental health service gap in the U.S.

Japan: Recent Industry Developments

✅ In August 2025, Japanese researchers developed a novel 3D concrete printing technique that enhances the structural integrity and sustainability of printed buildings. This advancement aims to push the boundaries of 3D printing technology in construction.

✅ In July 2025, the Japanese government initiated a project to 3D print a train station, aiming to modernize aging infrastructure and reduce construction costs. This project highlights the potential of 3D printing in large-scale infrastructure projects.

✅ In June 2025, the University of Tokyo developed a novel protein engineering technique that enhances the stability and functionality of enzymes used in industrial applications. This innovation aims to improve efficiency in various biotechnological processes.

AI in Medical Imaging Market: Drivers

The AI in medical imaging market is rapidly expanding as healthcare providers increasingly adopt artificial intelligence to enhance diagnostic accuracy and workflow efficiency. AI-powered imaging solutions assist in detecting abnormalities, segmenting organs, and predicting disease progression across modalities like MRI, CT, and X-ray. Rising prevalence of chronic diseases and demand for early and precise diagnosis are driving adoption. Integration of AI reduces human error and accelerates image interpretation, improving patient outcomes. Additionally, hospitals and diagnostic centers are investing in AI-enabled imaging systems to optimize operational efficiency and resource utilization.

Advancements in deep learning, machine learning algorithms, and cloud-based imaging platforms are enabling real-time analysis and improved predictive capabilities. Regulatory approvals and government initiatives supporting AI in healthcare are further propelling market growth. The adoption of AI-driven imaging in oncology, cardiology, and neurology is creating specialized applications with high clinical impact. Partnerships between AI technology developers and medical device manufacturers are expanding the availability of innovative solutions. With increasing focus on precision medicine and digital healthcare, AI in medical imaging is set for significant long-term growth.

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AI in Medical Imaging Market: Major Players

GE HealthCare, FUJIFILM Corporation, Koninklijke Philips NV, Aidoc, Blackford Analysis, Siemens Healthineers AG, Canon Medical Systems GmbH, Qure.ai, NVIDIA Corporation, SARC MedIQ, among others.

Segment Covered in the AI in Medical Imaging Market:

➥ By Modality: X-Ray Imaging, Magnetic Resonance Imaging (MRI), Computed Tomography (CT), Ultrasound Imaging, Mammography, Others
➥ By Deployment Mode: Cloud-Based Solutions, On-Premise Solutions, Hybrid Models
➥ By Component: Software, Hardware, Services

Research Process:

Both primary and secondary data sources have been used in the AI in Medical Imaging Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.

Most Frequently Asked Questions in the AI in Medical Imaging Market Research Industry:

➠ Who leads the AI in Medical Imaging industry and what's their competitive positioning regarding capacity, performance, and profitability?
➠ What growth opportunities and market challenges do AI in Medical Imaging market vendors face?
➠ Which segments show the highest growth potential and market share distribution?
➠ What factors are driving or limiting AI in Medical Imaging market growth?
➠ What are the dominant sales and distribution strategies in the AI in Medical Imaging industry?

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Regional Analysis:

⇥ North America (U.S., Canada, Mexico)
⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)
⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)
⇥ South America (Colombia, Brazil, Argentina, Rest of South America)
⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

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✅ Competitive Landscape
✅ Technology Roadmap Analysis
✅ Sustainability Impact Analysis
✅ KOL / Stakeholder Insights
✅ Consumer Behavior & Demand Analysis
✅ Import-Export Data Monitoring
✅ Live Market & Pricing Trends

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