세계의 방사선학용 AI 시장은 예측 기간 중(2026-2036년) CAGR 21.5%로 확대되어 2026년 16억 9,000만 달러에서 2036년까지 약 118억 4,000만 달러에 이를 것으로 전망되고 있습니다.
본 보고서는 5개 주요 지역에서 세계 방사선학용 AI 시장에 대해 현재 시장 동향, 시장 규모, 최근 동향, 2036년까지의 예측에 중점을 두고 상세한 분석을 제공합니다. 광범위한 2차 및 1차 조사 및 시장 시나리오에 대한 상세한 분석을 통해 주요 업계의 촉진요인, 억제요인, 기회 및 과제의 영향 분석을 수행합니다.
방사선학용 AI 시장의 성장을 견인하는 주요 요인으로는 질병 조기 발견에 대한 세계 수요 증가, 의료 기관에 자동 진단 영상 시스템의 급속한 보급, 숙련된 방사선과 의사의 심각한 부족, 진단 오차의 최소화에 대한 요구 등이 있습니다. 게다가 클라우드 기반 인프라의 급속한 확대, 고성능 알고리즘에 대한 수요 증가, AI를 활용한 예측 분석, 멀티모달 AI 시스템, 의료 분야에서의 디지털 전환의 대처 등이 방사선학용 AI 시장에서 사업을 전개하는 기업에게 큰 성장 기회를 창출할 것으로 예측됩니다.
AI for Radiology Market by Offering (Software/SaaS, On-Device Software), Function (Screening & Triage, Diagnostic Imaging & Interpretation, Treatment Planning & Intervention Support, Monitoring & Follow-Up, Reporting & Documentation, Workflow Optimization), Modality (Computed Tomography, Magnetic Resonance Imaging, X-Ray, Ultrasound, Mammography), Indication, and End User - Global Forecast to 2036
According to the research report titled, 'AI for Radiology Market by Offering (Software/SaaS, On-Device Software), Function (Screening & Triage, Diagnostic Imaging & Interpretation, Treatment Planning & Intervention Support, Monitoring & Follow-Up, Reporting & Documentation, Workflow Optimization), Modality (Computed Tomography, Magnetic Resonance Imaging, X-Ray, Ultrasound, Mammography), Indication, and End User - Global Forecast to 2036,' the global AI for radiology market is expected to reach approximately USD 11.84 billion by 2036 from USD 1.69 billion in 2026, at a CAGR of 21.5% during the forecast period (2026-2036).
The report provides an in-depth analysis of the global AI for radiology market across five major regions, emphasizing the current market trends, market sizes, recent developments, and forecasts till 2036. Following extensive secondary and primary research and an in-depth analysis of the market scenario, the report conducts the impact analysis of the key industry drivers, restraints, opportunities, and challenges.
The major factors driving the growth of the AI for radiology market include the intensifying global demand for early disease detection, rapid expansion of automated diagnostic imaging systems across healthcare institutions, critical shortage of skilled radiologists, and the need to minimize diagnostic errors. Additionally, the rapid expansion of cloud-based infrastructure, increasing need for high-performance algorithms, AI-powered predictive analytics, multimodal AI systems, and digital transformation initiatives in healthcare are expected to create significant growth opportunities for players operating in the AI for radiology market.
The AI for radiology market is segmented by offering (software/SaaS, on-device software), function (screening & triage, diagnostic imaging & interpretation, treatment planning & intervention support, monitoring & follow-up, reporting & documentation, workflow optimization), modality (computed tomography, magnetic resonance imaging, X-ray, ultrasound, mammography), indication (oncology, neurology, cardiology, orthopedics, others), end user (hospitals, diagnostic imaging centers, ambulatory surgery centers), and geography. The study also evaluates industry competitors and analyzes the market at the country level.
Based on Offering
By offering, the software/SaaS segment holds the largest market share in 2026, primarily attributed to its scalable deployment model in supporting rapid implementation and seamless integration within existing healthcare IT environments, such as in large hospital networks and multi-site imaging centers. These systems offer the most comprehensive way to ensure diagnostic consistency across diverse high-volume clinical applications. Software/SaaS solutions are utilized extensively in enterprise healthcare and cloud computing sectors. However, the on-device software segment maintains a significant share due to the growing need for low-latency processing in time-critical diagnostic applications, particularly in emergency departments and stroke centers. The ability to provide instant analysis without cloud connectivity makes on-device software highly attractive for specialized clinical environments.
Based on Function
By function, diagnostic imaging & interpretation segment holds the largest share of the overall market in 2026, driven by the need for comprehensive AI-enabled analysis across diverse imaging modalities. Screening & triage functions represent significant applications for rapid patient prioritization and workflow optimization. Treatment planning & intervention support, monitoring & follow-up, and reporting & documentation represent emerging functions with growing adoption. Workflow optimization functions are expected to witness rapid growth during the forecast period, driven by the growing need for operational efficiency and reduced radiologist burnout. The ability to automate routine tasks and enhance clinical productivity makes workflow optimization highly attractive for healthcare institutions.
Based on Modality
By modality, the computed tomography segment holds the largest share of the overall market in 2026, primarily due to the massive volume of CT procedures performed globally and the rigorous performance standards required for modern diagnostic imaging. Current large-scale healthcare facilities are increasingly specifying AI-enhanced CT solutions to ensure compliance with clinical protocols. Magnetic resonance imaging segment is expected to witness rapid growth during the forecast period, driven by the shift toward integrated diagnostic platforms and the complexity of MRI interpretation workflows. X-ray, ultrasound, and mammography represent significant segments with distinct AI application requirements and clinical workflows.
Based on Indication
By indication, the oncology segment is expected to grow at the fastest CAGR during the forecast period. This rapid expansion stems from the critical need for early cancer detection and the massive global cancer burden requiring advanced diagnostic capabilities. The increasing emphasis on precision oncology and personalized treatment planning is driving demand for AI systems that can identify subtle imaging biomarkers. Neurology segment commands substantial market share in 2026, fueled by expanding applications in stroke detection, traumatic brain injury assessment, and neurodegenerative disease monitoring. Cardiology, orthopedics, and other indications represent specialized segments with distinct diagnostic requirements and clinical applications.
Geographic Analysis
An in-depth geographic analysis of the industry provides detailed qualitative and quantitative insights into the five major regions (North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa) and the coverage of major countries in each region. In 2026, North America dominates the global AI for radiology market with the largest market share, primarily attributed to advanced healthcare infrastructure and the presence of leading technology providers in the U.S. and Canada. The United States alone accounts for a significant portion of global AI radiology adoption, with its position as a hub for healthcare innovation driving sustained growth. Asia-Pacific is expected to witness the fastest growth during the forecast period, supported by rapidly expanding healthcare infrastructure, increasing medical imaging volumes, and government initiatives promoting AI adoption in healthcare. In Europe, the leadership in regulatory frameworks and the push for healthcare digitalization are driving the adoption of AI-powered radiology systems, with countries like Germany, France, and the United Kingdom leading implementations.
Key Players
The key players operating in the global AI for radiology market are Siemens Healthineers AG (Germany), GE HealthCare (U.S.), Koninklijke Philips N.V. (Netherlands), Canon Medical Systems Corporation (Japan), Fujifilm Holdings Corporation (Japan), Shanghai United Imaging Healthcare Co. (China), Hologic, Inc. (U.S.), Merative (U.S.), and emerging AI-native companies such as Aidoc (Israel), Viz.ai (U.S.), Lunit (South Korea), RapidAI (U.S.), Qure.ai (India), Annalise.ai (U.S.), Rad AI (U.S.), DeepHealth (U.S.), Enlitic, Inc. (U.S.), Subtle Medical (U.S.), and Cleerly (U.S.), among others.
Key Questions Answered in the Report
AI for Radiology Market Assessment -- by Offering
AI for Radiology Market Assessment -- by Function
AI for Radiology Market Assessment -- by Modality
AI for Radiology Market Assessment -- by Indication
AI for Radiology Market Assessment -- by End User
AI for Radiology Market Assessment -- by Geography