AI-Enabled Medical Imaging Solutions Market 2033 - Deep Learning, Precision Diagnostics & Smart Radiology Power $33.7B Global Growth

Market Size and Growth

AI-Enabled Medical Imaging Solutions Market size reached US$ 10.63 Billion in 2024 and is expected to reach US$ 33.76 Billion by 2033, growing at a CAGR of 13.8% during the forecast period 2025-2033.

In 2022, the Global Market was at US$ 1,944.27 Million, and by 2023, it had reached US$ 2,257.29 Million, marking a significant growth in market value.

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Key Development:

United States: Recent AI-Enabled Medical Imaging Solutions Developments

✅ In November 2025, RapidAI received FDA 510(k) clearance for its Rapid Aortic AI platform, enabling automated 3D aortic reconstruction, measurement, and disease surveillance to support faster and more accurate aortic care teams' decisions.

✅ In October 2025, industry analysis highlighted that hundreds of radiology-focused AI tools had achieved FDA clearance, covering image triage, automated interpretation, and reporting support, indicating accelerating clinical adoption across U.S. hospitals.

✅ In September 2025, Aidoc's next-generation multi-triage foundation model earned FDA Breakthrough Device Designation, enabling simultaneous detection of multiple critical conditions in CT scans for improved emergency workflow efficiency.

✅ In July 2025, Philips secured FDA 510(k) clearance for SmartSpeed Precise, a dual-engine deep-learning MRI reconstruction software that delivers up to triple-speed scans and significantly sharper imaging quality for radiologists.

Japan: Recent AI-Enabled Medical Imaging Solutions Developments

✅ In October 2025, AI Medical Service (AIM) was recognized for its live endoscopic AI system that assists in real-time detection of gastrointestinal cancers, supporting faster clinical decision-making in screening and diagnostics.

✅ In September 2025, Japan released Curia, a large multi-modal foundation model trained on over 150,000 cross-sectional imaging exams, enabling organ identification, hemorrhage detection, and AI-supported tumor staging for clinicians.

✅ In September 2025, a new agentic medical-AI system called TissueLab was introduced, allowing clinicians to interact with imaging data through conversational prompts while the system dynamically refines analyses based on expert input.

✅ In August 2025, Fujitsu partnered with NVIDIA to launch a secure AI-agent orchestration platform for healthcare, enabling hospitals to deploy specialized imaging, data-structuring, and workflow-automation agents across clinical systems.

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Recent Mergers and acquisitions:

United States: Recent M&A in AI-Enabled Medical Imaging Solutions

✅ In November 2025, Radiology Partners acquired Cognita Imaging in an $80 million deal, adding foundation-model-based AI capabilities to its MosaicOS radiology platform and strengthening advanced diagnostic workflows.

✅ In September 2025, GE HealthCare announced its acquisition of icometrix, integrating the company's AI-driven brain MRI software to support neurological disease monitoring, including Alzheimer's therapy evaluation.

✅ In August 2025, RadNet completed the acquisition of See-Mode Technologies for approximately $28.7 million, expanding its AI portfolio in automated ultrasound analysis for thyroid and breast imaging across its U.S. centers.

Japan: Recent M&A in AI-Enabled Medical Imaging Solutions

✅ In July 2025, Tigermed finalized the acquisition of Micron Inc., a Japan-based imaging CRO specializing in AI-enhanced imaging biomarkers, expanding its clinical imaging capabilities across the Asia-Pacific region.

✅ In March 2025, GE HealthCare completed its acquisition of Nihon Medi-Physics, securing full control over its radiopharmaceutical operations and enhancing access to PET and SPECT diagnostic agents in Japan.

Key Players:

=> Deepc GmbH, Qure.ai Technologies Private Limited, DeepTek.ai, Inc., Aidoc, Tempus AI, Inc., Rayscape, Infervision, AIKENIST, Rad AI, and Brainomix Limited, among others.

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Growth Drivers of AI-Enabled Medical Imaging Solutions:

✅ Rising demand for faster, more accurate diagnostic imaging to improve clinical outcomes.

✅ Advancements in AI, deep learning, and image processing boosting detection precision and workflow efficiency.

✅ Growing burden of chronic diseases increasing the need for advanced imaging tools.

✅ Integration of AI with CT, MRI, ultrasound, and X-ray systems enhancing automation and decision support.

✅ Increasing hospital digitalization, PACS adoption, and investments in smart healthcare technologies.

Key Segments:

By Imaging Modality
X-ray imaging leads due to high usage and affordability. MRI follows with strong demand in neurology and oncology. CT scanners hold significant share for rapid diagnostics, while ultrasound grows for its portability and safe imaging. Mammography expands with breast cancer screening, and other modalities support specialized applications.

By Deployment Mode
Cloud-based solutions dominate for scalability and remote access. On-premise models remain preferred by institutions needing strict data control. Hybrid solutions grow rapidly, offering flexibility and compliance for multi-site healthcare settings.

By Application
Oncology leads driven by rising cancer diagnostics. Cardiology and neurology follow with strong imaging demand. Respiratory and orthopedic imaging remain essential in acute and chronic care, while gastroenterology and other applications support broad clinical use.

By End-User
Hospitals account for the largest share with extensive imaging capacity. Diagnostic centers grow with outpatient demand. Specialty clinics use targeted imaging, while academic and research institutes support innovation and training.

By Region

North America leads the market, supported by advanced healthcare infrastructure, strong adoption of AI-enabled imaging systems, and higher diagnostic procedural volume.

Europe follows with robust regulatory frameworks, widespread breast and lung screening programs, and strong investment in imaging digitization.

Asia-Pacific witnesses rapid growth fueled by expanding healthcare access, rising chronic disease burden, and increasing imaging equipment installation in China, India, and Southeast Asia.

South America grows steadily with improving diagnostic infrastructure and rising investment in hospital modernization.

Middle East & Africa show emerging potential driven by healthcare expansion, increasing diagnostic imaging adoption, and government initiatives to upgrade medical facilities.

FAQ

What is the current size of the AI-Enabled Medical Imaging Solutions Market?

A: In 2024, the AI-Enabled Medical Imaging Solutions Market was valued at US$ 10.63 Billion, reflecting its strong industry presence.

Q2: How large is the AI-Enabled Medical Imaging Solutions Market expected to be by 2033?

A: By 2033, industry forecasts suggest the AI-Enabled Medical Imaging Solutions Market will grow to around US$ 33.76 Billion, demonstrating significant expansion.

Q3: What is the growth rate of the AI-Enabled Medical Imaging Solutions Market?

A: The market is projected to expand at a compound annual growth rate (CAGR) of 13.8% during the forecast period from 2025 to 2033.

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