Published Date: Sep 2024 | Report ID: MI1088 | 220 Pages
The Europe Artificial Intelligence (AI) in Medical Diagnostics market accounted for USD 0.358 Billion in 2024 and is expected to reach USD 6.68 Billion by 2035, growing at a CAGR of around 30.5% between 2025 and 2035. European AI in Medical Diagnosing Market is the process of integrating functional and active AI technology into healthcare systems to boost diagnosis speed, efficiency, and accuracy. This market covers various AI applications, including image recognition, predictive modeling, and natural language processing. It assists healthcare professionals in interpreting medical data in radiological images, laboratory results, and electronic patient records. The booming demand for precise diagnostic tools, advancement in machine learning algorithms, and big data analytics boost market expansion. Moreover, the emphasis on illness prevention and customized medication is another indication of the enormous potential AI has to transform medical diagnostics in Europe.
| Parameter | Details |
|---|---|
| Largest Market | Germany |
| Fastest Growing Market | U.K. |
| Base Year | 2024 |
| Market Size in 2024 | USD 0.358 Billion |
| CAGR (2025-2035) | 30.5% |
| Forecast Years | 2025-2035 |
| Historical Data | 2018-2024 |
| Market Size in 2035 | USD 6.68 Billion |
| Countries Covered | Germany, France, U.K., Italy, Spain, Switzerland, Netherlands, Belgium, Sweden, Poland, Portugal, Greece, Czech Republic, Hungary, Finland, and Others |
| What We Cover | Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PESTLE analysis, value chain analysis, regulatory landscape, pricing analysis by segments and region, company market share analysis, and 10 regional companies |
| Segments Covered | Application, Disease, and Country |
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The growing need for precise and early disease identification, particularly in neurology, cardiology, and cancer, drives Europe Artificial Intelligence in Medical Diagnostics Market. Artificial intelligence (AI) tools can help radiologists understand imaging data. Europe's aging and expanding population has enhanced the prevalence of chronic illnesses, causing an increased need for diagnostic equipment. Learning technology advancements, natural language processing, artificial intelligence, data analytics, and data mining are responsible for diagnostic precision.
The European Commission has earmarked €2.5 billion for AI research and innovation through its Horizon Europe program. According to Eurostat, in 2019-2022, there has been a staggering 30% increase in AI healthcare projects throughout the EU, a strong indication of the commitment of AI in medical diagnostics.
The development of European AI in Medical Diagnostics Market is hampered by a lack of competent personnel. The adaptation of AI in the medical field requires a specialized workforce with medical expertise and competencies in AI technologies like machine learning, data analysis, and software development. There is a large skills gap that poses a risk to the rapid integration of AI into the diagnostic process for multiple reasons. Only a few healthcare professionals are trained in using AI. It became hard for healthcare professionals to integrate AI into hospitals due to the unavailability of skilled professionals.
This limitation is imposed on AI adoption in hospitals and other medical institutions. The issue gets worse by the fact that decisions on AI occur more slowly than anticipated because it takes longer to train and retain qualified employees. In Europe, regulatory hurdles and the corresponding steep measures for training and subsequent retention remain a challenge limiting AI in medical diagnostics.
AI is improving patient management and remote monitoring. It creates excellent opportunities for European AI in Medical Diagnostics Market. AI tools analyze vast amounts of real-time patient data to detect patterns and predict possible health problems before they turn critical. These allow quick treatments for reducing hospital stays and improving the care of chronic diseases, including diabetes and heart problems. AI algorithms can personalize treatment plans, enabling patients to receive customized care to meet individual needs. The growing use of telemedicine and wearable health devices for remote monitoring enables the continuous and seamless administration of care outside the traditional healthcare space, due to AI.
Furthermore, Europe has a strong legal framework, especially about data privacy (the GDPR, for example), which creates an environment for AI advancements to drive business profitability. The application of AI technology with Europe's growing healthcare infrastructure transforms medical diagnosis and enhances patient outcomes throughout the continent.
“This new approach will have a direct impact on oncologist decision making and help bring the best treatment to patients sooner. It could also optimize costs and organization of MSI testing in pathology labs, especially for countries applying universal MSI screening.”
“When a surgeon walks out of the procedure, the procedure is broken down by all of its component parts right on their phone instantly, and annotated, so you kind of watch the game tape right after you get out of the procedure, so this is driving a lot of value for training, compliance, etc, ”
Based on the application, the Europe Artificial Intelligence (AI) in Medical Diagnostics Market has been classified into Imaging Diagnostics, Genomic Diagnostics, Laboratory Diagnostics, Preventive Diagnostics, and Clinical Decision Support. Imaging Diagnostics is the dominant application segment of Europe AI in Medical Diagnostics Market. Because of the widespread use of advanced imaging technologies like MRI, CT scans, and X-rays in association with AI algorithms for improved accuracy of disease detection. AI imaging diagnostics can analyze images faster than humans. This reduces the number of hours needed for interpretation, enabling early intervention.
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The aging population and the prevalence of chronic diseases are driving the market. The continued leadership of Imaging Diagnostics in AI-powered healthcare in Europe is ensured by R&D investments and regulatory support for the category's growth.
Based on the disease, the Europe Artificial Intelligence (AI) in Medical Diagnostics Market has been classified into Oncology, Cardiovascular Diseases, Neurological Disorders, Respiratory Diseases, Diabetes, Infectious Diseases, and Others. Oncology is dominant in the disease segment of European AI in Medical Diagnostics market. With the rising rate of cancer in Europe and ongoing attempts to obtain a rapid and precise diagnosis, oncology continues to be a top priority for AI applications. These tools help the oncologist discover cancer faster and more accurately by aiding in efficient image processing, pattern recognition, and predictive modeling.
Tumors detected in these early stages usually have a direct impact on treatment choices and lead to better results. Furthermore, customized therapy is driving the growing significance of AI in oncology diagnosis across Europe.
Germany is the leading country in Artificial intelligence (AI) in Medical Diagnostics Market due to the strong infrastructure and tech innovation of the German healthcare system. As one of the biggest healthcare markets in Europe, it has seen a rise in the use of AI, especially in diagnostics, pathology, and imaging. To enhance healthcare efficacy and improve outcomes, the public and commercial sectors have invested in AI integration in medical diagnostics. Numerous tech and healthcare businesses and collaborations between hospitals, research institutes, and AI companies contribute to the market growth.
U.K. is experiencing growth in AI in Medical Diagnostics Market due to significant government support and healthcare innovation hubs in the industry. The National Health Service (NHS) is the primary driver in the use of AI technologies to enhance genetics, pathology, and radiology diagnosis. The establishment of the NHS AI Lab along with funding for other forms of AI-driven research in healthcare only revitalizes the market. With excellent universities and collaboration among technology companies, hospitals, and universities, the UK promotes the development of AI in curbing the market. In terms of regulatory anticipation, the UK provides a great market climate for AI in medical diagnostics. The future of diagnostics in Europe centers on pioneers in artificial intelligence in healthcare.
A highly dynamic and competitive landscape characterizes Europe AI in Medical Diagnostics Market. Major players in this market are driving innovation. DeepMind Health is in the limelight with its intensive work on adaptation of AI in retinal disease diagnostics, recently collaborating with NHS hospitals to optimize its algorithms. Qure.ai has to establish itself in the market by partnering with hospitals across Europe to deploy radiology AI and make major strides in tuberculosis diagnosis.
CureMetrix is getting recognition for its innovative AI-based mammography tools to improve breast cancer screening accuracy. Owkin uses machine learning to develop predictive models for oncology and provides helpful information about potential therapy avenues. PathAI enables pathology workflows through AI-enhanced diagnostic tools that improve accuracy and efficiency. Medtronic is packing AI capabilities into its medical devices to help advance patient monitoring.
Europe Artificial Intelligence (AI) in Medical Diagnostics Market, Company Shares Analysis, 2024
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By Application
By Disease
By Region
Europe
List of Companies
The Europe Artificial Intelligence (AI) in Medical Diagnostics market accounted for USD 0.358 Billion in 2024 and is expected to reach USD 6.68 Billion by 2035, growing at a CAGR of around 30.5% between 2025 and 2035.
Key growth opportunities in the Europe Artificial Intelligence (AI) in Medical Diagnostics market include leveraging digital transformation, such as AI can enhance remote patient monitoring and management, Opportunities for alliances between tech and healthcare firms, AI can tailor diagnostics to individual patient profiles.
Application is currently leading in the Europe Artificial Intelligence (AI) in Medical Diagnostics Market due to Imaging Diagnostics. This is dominant due to its critical role in disease detection and monitoring, particularly in fields like radiology, oncology, and cardiology. The integration of AI enhances image analysis, enabling quicker and more accurate diagnoses while reducing the workload for radiologists. This growing reliance on advanced imaging techniques coupled with increasing demand for precision medicine further propels AI adoption in imaging diagnostics across Europe.
Germany is expected to remain the dominant region due to its robust healthcare infrastructure, significant investment in research and development, and a strong emphasis on technological innovation. The country boasts a highly skilled workforce and numerous partnerships between academic institutions and industry players, facilitating the rapid advancement and deployment of AI solutions in medical diagnostics.
U.K. is fastest growing region due to its strong focus on digital health transformation and a vibrant startup ecosystem that fosters innovation. The government’s initiatives to promote AI research and implementation in healthcare, coupled with significant investments in health tech, drive rapid advancements in diagnostic technologies.
Key operating players in the Europe Artificial Intelligence (AI) in Medical Diagnostics Market are DeepMind Health, Qure.ai, CureMetrix, Owkin, PathAI, Medtronic, Aidence, Quantib, and Sophia Genetics. DeepMind Health is considered a leading player in the AI medical diagnostics landscape due to its pioneering work in applying advanced machine learning techniques to complex medical challenges, particularly in areas like ophthalmology and oncology.
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