Artificial Intelligence in the Medical Imaging Market Forecasted to Reach USD 30 Billion By 2035, at an Impressive 18.4% CAGR

WiseGuy Reports, Sept. 2025 (Press Release) – The Artificial Intelligence in the Medical Imaging Market Global Outlook:

Artificial Intelligence in the Medical Imaging Market Size, Share & Industry Analysis By Application (Radiology Imaging, Pathology Imaging, Cardiology Imaging, Oncology Imaging, Neurology Imaging), By Technology (Machine Learning, Deep Learning, Natural Language Processing, Image Processing, Computer Vision), By End Use (Hospitals, Diagnostic Imaging Centers, Research Institutes, Clinics), By Deployment (Cloud-based, On-premise, Hybrid) and Regional Forecasts, 2025-2035

Key Profits for Artificial Intelligence in the Medical Imaging Market Industry Top Members and Stakeholders:

1. The Artificial Intelligence in the Medical Imaging Market report includes a plethora of information such as market dynamics scenario and opportunities during the forecast period.

2. Which regulatory trends at corporate-level, business-level, and functional-level strategies.

3. Which are the End-User technologies being used to capture new revenue streams in the near future.

4. The competitive landscape comprises share of key players, new developments, and strategies in the last three years.

5. One can increase a thorough grasp of Artificial Intelligence in the Medical Imaging Market dynamics by looking at prices as well as the actions of producers and users.

6 Comprehensive companies offering products, relevant financial information, recent developments, various Industry analysis methods, and strategies by these top players.

Artificial Intelligence in the Medical Imaging Market: Driving Next-Gen Healthcare Transformation

The Artificial Intelligence in the Medical Imaging Market is redefining how healthcare providers, diagnostic centers, and technology firms approach disease detection and patient management. With its ability to enhance image analysis, reduce diagnostic errors, and streamline clinical workflows, AI-powered imaging solutions are becoming essential in modern healthcare systems. For B2B stakeholders, the sector presents immense opportunities for innovation, partnerships, and long-term growth.

Market Overview and Growth Outlook

The market size of the Artificial Intelligence in the Medical Imaging Market stands at USD 4.7 billion in 2024 and is projected to reach USD 5.5 billion in 2025. By 2035, it is expected to surge to USD 30 billion, driven by rapid adoption of AI-enabled tools and an impressive CAGR of 18.4% from 2025 to 2035. Historical data from 2019 to 2023 highlights increasing investment in medical AI solutions, with hospitals and imaging centers adopting advanced platforms to handle rising healthcare demands.

North America currently leads adoption, supported by strong R&D initiatives in the US and Canada, while Europe follows with innovation hubs in Germany, UK, and France. Asia-Pacific is anticipated to record the fastest growth due to expanding healthcare infrastructure in China, India, and Japan, coupled with rising patient volumes. South America and MEA are also emerging markets with significant potential as investments in healthcare digitization accelerate.

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Key Market Drivers

The Artificial Intelligence in the Medical Imaging Market is driven by multiple converging dynamics. Technological advancements in deep learning and neural networks are improving accuracy in image interpretation. The growing prevalence of chronic diseases such as cancer, cardiovascular disorders, and neurological conditions is fueling demand for faster, more reliable diagnostics. Rising healthcare costs are also pushing providers toward AI-based solutions that optimize workflows and reduce overheads.

Another critical driver is the expanding role of AI in diagnostic imaging modalities, including MRI, CT scans, ultrasound, and X-ray technologies. By enhancing image quality and automating interpretation, AI helps radiologists and clinicians improve diagnostic precision while reducing turnaround time.

Segmentation Insights

The Artificial Intelligence in the Medical Imaging Market is segmented by application, technology, end use, deployment, and region. Applications span across oncology, cardiology, neurology, and orthopedics. AI technologies include machine learning, deep learning, and natural language processing, each contributing to enhanced imaging outcomes.

End users range from hospitals and diagnostic centers to research institutions, with increasing adoption in telemedicine platforms. Deployment models include on-premise and cloud-based solutions, with cloud adoption accelerating due to scalability and cost efficiency.

Competitive Landscape

The competitive environment of the Artificial Intelligence in the Medical Imaging Market is shaped by global technology leaders and emerging startups. Key companies include RadNet, iCAD, IBM Watson Health, PathAI, Fujifilm Holdings, Philips Healthcare, Canon Medical Systems, Agfa-Gevaert, Enlitic, Zebra Medical Vision, Aidoc, GE Healthcare, Aidence, Siemens Healthineers, DeepMind Technologies, and Qure.ai.

These players are focusing on collaborations, acquisitions, and AI-driven innovations to strengthen their pipelines. For B2B buyers, strategic partnerships with such companies provide access to advanced imaging platforms, robust integration support, and long-term value in clinical operations.

Opportunities for B2B Stakeholders

The Artificial Intelligence in the Medical Imaging Market presents major opportunities across the healthcare value chain. Predictive analytics and early diagnosis tools are enabling precision medicine approaches. Enhanced image processing technologies are opening new possibilities for clinical decision-making, while remote patient monitoring and telemedicine integration are expanding healthcare accessibility.

Growing investment in healthcare AI also means rising opportunities for software vendors, cloud service providers, and bioinformatics firms. For B2B stakeholders, aligning with healthcare providers to co-develop tailored imaging solutions can create significant business value.

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Future Outlook

The future of the Artificial Intelligence in the Medical Imaging Market lies in the integration of AI with real-world clinical workflows. As imaging data volumes grow, AI will be central to improving efficiency, reducing diagnostic backlogs, and enabling personalized healthcare. Advances in algorithm transparency, regulatory frameworks, and cloud-based delivery models will further accelerate adoption.

By 2035, with revenues projected at USD 30 billion, the Artificial Intelligence in the Medical Imaging Market will stand as a cornerstone of global healthcare transformation. For B2B stakeholders, investing in this sector means gaining early access to innovation, driving operational excellence, and shaping the future of diagnostic imaging.

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医用画像市場における人工知能の規模 | Künstliche Intelligenz im Marktanteil der medizinischen Bildgebung | Analyse du marché de l'intelligence artificielle dans l'imagerie médicale | 의료 영상 시장 분석에서의 인공지능 | 医学成像市场中的人工智能概述 | Tendencias de la inteligencia artificial en el mercado de imágenes médicas

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