Europe AI medical imaging Market Size, Share, And COVID-19 Impact Analysis, By Technology (Deep Learning, Natural Language Processing and Others), By Modality (CT Scan, MRI, Ultrasound, X-Rays and Nuclear Imaging), By Application (Neurology, Breast Screening, Respiratory & Pulmonary, Orthopaedics and Others), By End User (Hospitals, Diagnostic Imaging Centres, and, Others), And Europe AI medical imaging Market Insights, Industry Trend, Forecasts To 2035

Europe AI Medical Imaging Market Insights Forecasts to 2035

• The Europe AI medical imaging Market Size Was Estimated at USD 557.7 Million in 2024
• The Market Size is Expected to Grow at a CAGR of Around 20.99% from 2025 to 2035
• The Europe AI medical imaging Market Size is Expected to Reach USD 4,536.1 Million by 2035

According to a research report published by Spherical Insights & Consulting, the Europe AI medical imaging market size is anticipated to reach USD 4536.1 million by 2035, growing at a CAGR of 20.99% from 2025 to 2035. The AI medical imaging market in Europe is driven by increased adoption of AI in European healthcare, evolving regulatory landscape such as the EU AI Act, shortage of medical staff and developing cloud infrastructure.

Market Overview  

Europe AI medical imaging market is referred to as technology that generates, examines, and optimises imaging-related output, leveraging massive datasets from modalities like CT, MRI and X-ray alongside vast clinical knowledge and experience. In Europe, such technologies are used in medical image analyses, clinical triage support, and automated diagnostic reporting. Factors that have contributed to the development and expansion of AI medical imaging in Europe include digitalisation through the European Health Data Space (EHDS), a critical shortage of radiologists, growing adoption of AI in telemedicine and remote diagnostics, development of cloud infrastructure and establishment of clear regulatory frameworks like the EU AI Act to ensure trustworthy technology.

Beyond initial diagnostic assistance, the European AI medical imaging market is transitioning toward advanced high-throughput quantitative imaging analysis and predictive analytics, where AI extracts sub-visual quantitative data to personalise treatment pathways. The market is expected to shift from standalone detection tools to integrated AI systems that combine imaging data with genomics and electronic health records to predict patient response to specific therapies, such as immunotherapy in oncology. Furthermore, the maturation of generative AI is revolutionising the sector by automating the generation of complex clinical reports and creating high-fidelity synthetic datasets, which allow researchers to bypass data scarcity while adhering to the strict privacy mandates of the GDPR. These advancements are positioning AI not merely as a diagnostic adjunct but as the central operating system for a more efficient, evidence-based European healthcare model.

Report Coverage

This research report categorises the market for AI medical imaging in Europe based on various segments and regions, and forecasts revenue growth and analyses trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the Europe AI medical imaging market. Recent market developments and competitive strategies, such as expansion, product launch, development, partnership, merger, and acquisition, have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segment of the Europe AI medical Imaging market.

Driving factors

The Europe AI medical imaging market is driven by both accelerating innovation. Technological advances in deep learning, generative AI and multimodal integration are enabling new tools that support earlier diagnosis and improve imaging workflows. These developments are reinforced by rising imaging volumes, clinician shortages, and systemic pressures on healthcare systems, which increase the demand for automation and decision support. Collaboration between research institutions, healthcare providers, and industry is driving momentum, and an increasing number of regulatory clearances are building confidence in clinical deployment. AI in medical imaging holds transformative potential for early diagnosis, personalised treatment, and efficient healthcare delivery in Europe.

Restraining Factors

The Europe AI medical imaging market is restrained by limited scalability, privacy constraints, and limited interoperability across institutions, which hinder data sharing and reuse. Interpretability remains a challenge for many AI models, reducing trust and limiting acceptance in clinical practice. clinician training, and cultural adaptation, all of which require resources and time.

Market Segmentation

The Europe medical imaging market is segmented into technology, modality, application, and end user

• The deep learning segment accounted for the largest revenue market share in 2024 and is expected to grow at a significant CAGR during the forecast period.

Based on technology, the Europe medical imaging market is segmented into deep learning, natural language processing and others. Among these, the deep learning segment accounted for the largest revenue market share in 2024 and is expected to grow at a significant CAGR during the forecast period.  Because deep learning automates the detection of complex patterns in unstructured image data, and the maturity of deep learning algorithms in handling clinical data gives a significant commercial edge over other systems.

• The CT scan segment accounted for the largest revenue market share in 2024 and is expected to grow at a significant CAGR during the forecast period.

Based on modality, the Europe AI medical imaging market is segmented into CT scan, MRI, ultrasound, X-Rays and nuclear Imaging. Among these, the CT scan segment accounted for the largest revenue market share in 2024 and is expected to grow at a significant CAGR during the forecast period.  CT is the primary modality for emergency diagnostics (stroke, trauma, pulmonary embolism). European hospitals are prioritising AI investments that could speed up emergency workflows.

• The neurology segment accounted for the largest revenue market share in 2024 and is expected to grow at a significant CAGR during the forecast period.

Based on the application, the Europe AI medical imaging market is segmented into neurology, breast screening, respiratory & pulmonary, orthopaedics and others. Among these, the neurology segment accounted for the largest revenue market share in 2024 and is expected to grow at a significant CAGR during the forecast period. Because Europe has one of the world’s oldest populations, the prevalence of neurodegenerative diseases is raising the demand for AI medical imaging capable of quantifying subtle brain volume changes that the human eye cannot consistently measure.

• The hospitals segment accounted for the largest revenue market share in 2024 and is expected to grow at a significant CAGR during the forecast period.

Based on end user, the Europe AI medical imaging market is segmented into hospitals, diagnostic imaging centres and others. Among these, the hospital segment accounted for the largest revenue market share in 2024 and is expected to grow at a significant CAGR during the forecast period. Because hospitals possess integrated IT ecosystems required to deploy AI at scale, and the shortage of radiologists and diagnostic staff in large public hospital networks.

 Competitive Analysis:

The report offers the appropriate analysis of the key organisations/companies involved within the Europe AI medical imaging market, along with a comparative evaluation primarily based on their product offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborate analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

List of Key Companies

• Siemens Healthineers
• Koninklijke Philips
• Agfa Healthcare
• Bayer Radiology
• Brainomix
• Kheiron Medical
• Perspectum
• Behold.ai
• Gleamer
• AZmed
• Avicenna.AI
• Incepto Medical
• Deepc
• Mediaire
• Vara
• Pixyl
• Caerus Medical
• Icometrix
• Canon Medical System
• Viz.ai

Key Target Audience

• Market Players
• Investors
• End-users
• Government Authorities 
• Consulting and Research Firm
• Venture capitalists
• Value-Added Resellers (VARs)

Market Segment

This study forecasts revenue at the Europe, regional, and country levels from 2020 to 2035. Spherical Insights has segmented the Europe AI medical imaging market based on the following segments:

Europe AI medical imaging, By Technology

• Deep Learning,
• Natural Language Processing
• Others

Europe AI medical imaging, By Modality

• CT scan
• MRI
• Ultrasound
• X-Rays
• Nuclear Imaging

Europe AI Medical Imaging, By Application

• Neurology
• Breast Screening
• Respiratory & Pulmonary
• Orthopaedics
• Others

Europe AI Medical Imaging, By End User

• Hospitals
• Diagnostic Imaging Centres
• Others