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United States AI in Medical Imaging Market valuation $11.25 billion by 2033 - Exclusive Report by DatamIntelligence

10-09-2025 12:36 PM CET | Health & Medicine

Press release from: DataM intelligence 4 Market Research LLP

AI in Medical Imaging Market

AI in Medical Imaging Market

"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 September 2025, Siemens Healthineers launched an AI-powered imaging platform for radiology that integrates automated detection of tumors and lesions across MRI and CT scans. The system improves diagnostic accuracy and workflow efficiency. It targets hospitals, imaging centers, and research institutions across the U.S.

✅ In August 2025, GE Healthcare completed the acquisition of a U.S.-based AI medical imaging startup specializing in deep learning for cardiovascular and neurological scans. The acquisition expands GE's portfolio in precision diagnostics. It enables faster and more accurate clinical decision-making.

✅ In July 2025, Philips Healthcare invested $65 million in its AI medical imaging R&D facility in Massachusetts, focusing on real-time image analysis, workflow automation, and predictive diagnostics. The initiative accelerates innovation in radiology. It supports hospitals and diagnostic labs with enhanced imaging solutions.

✅ In June 2025, Arterys launched a cloud-based AI imaging platform combining multi-modal imaging analysis with predictive analytics. The system supports oncology, cardiology, and pulmonary applications. It improves diagnostic efficiency and enables remote collaboration for U.S. healthcare providers.

Japan: Recent Industry Developments

✅ In September 2025, Fujifilm Corporation launched an AI-assisted imaging platform for automated lesion detection and image enhancement in MRI and CT scans. The system improves diagnostic accuracy and efficiency. It targets Japanese hospitals, clinics, and research institutions.

✅ In August 2025, Canon Medical Systems invested in expanding its AI imaging R&D center, focusing on deep learning for radiology and predictive imaging analytics. The initiative enhances Japan's capabilities in advanced diagnostics. It supports faster image processing and clinical decision-making.

✅ In July 2025, Hitachi, Ltd. completed the acquisition of a Japanese AI startup specializing in medical imaging solutions for oncology and cardiology. The acquisition strengthens Hitachi's imaging technology portfolio. It accelerates innovation and deployment of AI-powered diagnostic tools.

✅ In June 2025, NEC Corporation launched a cloud-integrated AI imaging system combining automated image analysis, lesion detection, and predictive risk assessment. The platform enhances workflow efficiency and diagnostic precision. It supports hospitals and diagnostic labs in Japan with cutting-edge solutions.

AI in Medical Imaging Market: Drivers

The AI in medical imaging market is experiencing rapid growth due to increasing demand for accurate, efficient, and automated diagnostic solutions across hospitals, imaging centers, and research institutions. Artificial intelligence enhances medical imaging by enabling automated image analysis, lesion detection, disease prediction, and workflow optimization, improving diagnostic accuracy and patient outcomes. Rising prevalence of chronic diseases, cancer, and neurological disorders is driving adoption of AI-powered imaging solutions for early detection and monitoring. Technological advancements in deep learning, machine learning algorithms, and cloud-based imaging platforms are enhancing performance, scalability, and integration with existing imaging systems. Additionally, growing focus on reducing radiologist workload, improving efficiency, and supporting telemedicine initiatives is further supporting market growth.

Innovations in AI-assisted CT, MRI, ultrasound, and X-ray imaging are enabling faster, more precise, and non-invasive diagnostics across various clinical applications. Integration with electronic health records (EHRs), PACS systems, and predictive analytics platforms is improving decision-making, patient management, and clinical workflow efficiency. Increasing investments from healthcare providers, technology companies, and research institutions are accelerating development and adoption of advanced AI imaging solutions. Regulatory approvals, standardization efforts, and validation studies are fostering trust and reliability in AI-driven diagnostics. Collectively, these factors are driving sustained growth in the AI in medical imaging market as healthcare systems increasingly prioritize accuracy, efficiency, and data-driven insights in clinical diagnostics.

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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: Hardware, Software, 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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