Europe AI Medical Imaging Market

Europe AI Medical Imaging Market Overview

As per the survey report on Europe AI medical imaging market, the market is expected to foresee a CAGR value of 22.9% during 2026-2036, and further generate a market size of USD 4596.8 million by the end of 2036. In 2025, the market size was value at USD 575.8 million revenue.

• The Europe AI medical imaging market’s growth is driven by increasing shortage of radiologists.
• KDMI analyst’s growth analysis foresees strict regulatory requirements as restraint for Europe AI medical imaging market.
• In the Europe AI medical imaging market, modality segment is playing significant role.

Europe AI Medical Imaging Market Analysis

Artificial intelligence in medical imaging uses computer algorithms and deep learning to analyze scans like X-rays, MRIs, and CTs. AI tools integration help doctors to spot tiny tumors, speed up scan times, and prioritize urgent cases like strokes to improve patient care. The Europe AI integration in medical imaging technology is rapidly growing due to increasing prevalence of non-communicable diseases (NCDs) such as cardiovascular diseases, cancer, diabetes, and respiratory condition. According to ITA, Germany is the largest healthcare market across Europe. With the potential increase of approximately 7.7% in total health expenditure from EUR 538.2 million in 2024 to EUR 579.5 million in 2025, demand for AI-powered tools and systems is growing rapidly. Additionally, the AI in healthcare in Germany reached USD 410 million in 2025. Further, the EU is prioritizing digital transformation of healthcare sector to facilitate secure data sharing and innovation.

Europe AI Medical Imaging Market Growth Drivers and Restraints

Growth Drivers

• Increasing shortage of radiologists – The growing shortage and aging of radiologists across Europe is creating a strong need for AI-based medical imaging solutions that can support clinicians and improve diagnostic efficiency. According to EIB, more than 40% of European doctors are near to retirement age, thereby the region is experiencing a looming physician shortage. Although, radiologists are highly in demand, as over 80% of health systems report radiologists shortage. As imaging volumes continue to rise, healthcare providers are increasingly looking for AI tools that can automate image analysis, prioritize urgent cases, detect abnormalities, and support radiologists in routine interpretation. Moreover, workforce shortage encourages hospitals and diagnostic centers to integrate AI into radiology workflows, supporting continued adoption of AI-enabled medical imaging technologies.
• Rising prevalence of chronic diseases – The increasing prevalence of chronic diseases across Europe is expanding the volume and frequency of medical imaging examinations required for diagnosis, disease monitoring, and treatment planning. According to OECD report, more than one-third of adults in the EU are reported living with at least one longstanding illness or health problem as of 2023. Also, across the Europe, 37% of women reported having a chronic condition in the same year compared to 33% of men. The expanding diagnostic workload is therefore increasing pressure on radiology departments, creating demand for AI solutions that can accelerate image acquisition and interpretation, identify suspicious lesions, automate measurements and segmentation, and assist with early disease detection. Moreover, the EU’s focus on AI and deep learning provide opportunities to improve early detection and accelerate diagnostic workflows due to rising chronic disease burdens.

Restraints

• Strict regulatory requirements – AI-based medical imaging solutions must follow the EU Medical Device Regulation (MDR) alongside requirements under the EU AI act. High-risk medical AI systems face requirements related to risk management, data quality, transparency, and ongoing monitoring, increasing the time and cost, thereby limiting overall growth potential.
• Data privacy and cybersecurity concerns – Medical images contain sensitive patient information, requiring strict compliance with GDPR and other European health-data requirements. AI developers and healthcare providers must implement strong anonymization, secure processing, access controls, and cybersecurity measures can further increase implementation complexity and costs.

Europe AI Medical Imaging Market Segmentation

Our experts at KD Market Insights have segmented the Europe AI medical imaging market research report as:

Analyst’s Observation on Europe AI Medical Imaging Market Recent Developments

Over the years, the experts at KD Market Insights have been observing the recent developments associated with Europe AI medical imaging market trends. Our expert’s market forecast analysis has recorded the market players adopting plentiful of key strategies including new product launches, mergers & acquisitions, and collaborations.

On March 2, 2026, Bracco Imaging S.p.A announced two major milestones in its AI & Digital Health strategy: the commercial launch in the European Union of AiMIFY®, the AI-powered contrast enhancement software solution developed in collaboration with Subtle Medical, Inc.

On March 4, 2026, DeepHealth unveiled at ECR 2026 the industry’s most comprehensive portfolio of native clinical AI solutions and services across all core imaging modalities — MR, CT, X-ray, Mammography and Ultrasound - and spanning detection, assessment and monitoring, all available on one platform. 

Europe AI Medical Imaging Market Competitive Landscape

Some of the significant participants who top the Europe AI medical imaging market growth:

• Siemens Healthineers AG (Siemens AG)
• GE HealthCare Technologies, Inc.
• Koninklijke Philips N.V.
• Fujifilm Holdings Corporation
• Agfa-Gevaert NV
• Microsoft Corporation
• Google LLC (Alphabet Inc.)
• Intel Corporation
• NVIDIA Corporation
• Zebra Technologies Corporation