방사선학용 AI 시장 : 제공 제품별, 기능별, 모달리티별, 적응증별, 최종 사용자별 예측(-2036년)

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.

Market Segmentation

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

• What is the current revenue generated by the AI for radiology market globally?
• At what rate is the global AI for radiology market demand projected to grow for the next 7-10 years?
• What are the historical market sizes and growth rates of the global AI for radiology market?
• What are the major factors impacting the growth of this market at the regional and country levels? What are the major opportunities for existing players and new entrants in the market?
• Which segments in terms of offering, function, modality, and indication are expected to create major traction for the service providers in this market?
• What are the key geographical trends in this market? Which regions/countries are expected to offer significant growth opportunities for the companies operating in the global AI for radiology market?
• Who are the major players in the global AI for radiology market? What are their specific service offerings in this market?
• What are the recent strategic developments in the global AI for radiology market? What are the impacts of these strategic developments on the market?

Scope of the Report:

AI for Radiology Market Assessment -- by Offering

• Software/SaaS
• On-Device Software

AI for Radiology Market Assessment -- by Function

• Screening & Triage
• Diagnostic Imaging & Interpretation
• Treatment Planning & Intervention Support
• Monitoring & Follow-Up
• Reporting & Documentation
• Workflow Optimization

AI for Radiology Market Assessment -- by Modality

• Computed Tomography (CT)
• Magnetic Resonance Imaging (MRI)
• X-Ray
• Ultrasound
• Mammography
• Other Modalities

AI for Radiology Market Assessment -- by Indication

• Oncology
• Neurology
• Cardiology
• Orthopedics
• Other Indications

AI for Radiology Market Assessment -- by End User

• Hospitals
• Diagnostic Imaging Centers
• Ambulatory Surgery Centers
• Other End Users

AI for Radiology Market Assessment -- by Geography

• North America
  • U.S.
  • Canada
• Europe
  • Germany
  • France
  • UK
  • Italy
  • Spain
  • Rest of Europe
• Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Southeast Asia
  • Rest of Asia-Pacific
• Latin America
  • Brazil
  • Mexico
  • Argentina
  • Rest of Latin America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa
  • Rest of Middle East & Africa

TABLE OF CONTENTS

1. Introduction

• 1.1. Market Definition
• 1.2. Market Scope
• 1.3. Research Methodology
• 1.4. Assumptions & Limitations

2. Executive Summary

3. Market Overview

• 3.1. Introduction
• 3.2. Market Dynamics
  • 3.2.1. Drivers
  • 3.2.2. Restraints
  • 3.2.3. Opportunities
  • 3.2.4. Challenges
• 3.3. Impact of Multimodal AI and Foundation Models on Radiology
• 3.4. Regulatory Landscape (FDA, EU AI Act, CE Marking)
• 3.5. Porter's Five Forces Analysis

4. Global AI for Radiology Market, by Offering

• 4.1. Introduction
• 4.2. Software/SaaS
  • 4.2.1. Cloud-Based Solutions
  • 4.2.2. Hybrid Deployment Models
• 4.3. On-Device Software
  • 4.3.1. Embedded AI Solutions
  • 4.3.2. Edge Computing Platforms

5. Global AI for Radiology Market, by Function

• 5.1. Introduction
• 5.2. Screening & Triage
• 5.3. Diagnostic Imaging & Interpretation
  • 5.3.1. Detection & Classification
  • 5.3.2. Quantification & Measurement
• 5.4. Treatment Planning & Intervention Support
• 5.5. Monitoring & Follow-Up
• 5.6. Reporting & Documentation
• 5.7. Workflow Optimization
• 5.8. Research & Clinical Development
• 5.9. Other Functions

6. Global AI for Radiology Market, by Modality

• 6.1. Introduction
• 6.2. Computed Tomography (CT)
  • 6.2.1. General CT
  • 6.2.2. Spectral/Photon-Counting CT
• 6.3. Magnetic Resonance Imaging (MRI)
• 6.4. X-Ray
  • 6.4.1. Digital Radiography
  • 6.4.2. Fluoroscopy
• 6.5. Ultrasound
• 6.6. Mammography
  • 6.6.1. 2D Mammography
  • 6.6.2. Tomosynthesis
• 6.7. Other Modalities (PET, SPECT, Nuclear Medicine)

7. Global AI for Radiology Market, by Indication

• 7.1. Introduction
• 7.2. Oncology
  • 7.2.1. Lung Cancer
  • 7.2.2. Breast Cancer
  • 7.2.3. Other Cancers
• 7.3. Cardiology
  • 7.3.1. Coronary Artery Disease
  • 7.3.2. Structural Heart Disease
• 7.4. Neurology
  • 7.4.1. Stroke & Cerebrovascular Disease
  • 7.4.2. Traumatic Brain Injury
  • 7.4.3. Neurodegenerative Diseases
• 7.5. Pulmonology/Respiratory Diseases
  • 7.5.1. Pneumonia & Infections
  • 7.5.2. Chronic Lung Diseases
• 7.6. Orthopedics
  • 7.6.1. Fracture Detection
  • 7.6.2. Bone Age Assessment
• 7.7. Women's Health
  • 7.7.1. Breast Imaging
  • 7.7.2. Obstetric Imaging
• 7.8. Other Indications

8. Global AI for Radiology Market, by End User

• 8.1. Introduction
• 8.2. Hospitals
  • 8.2.1. Academic Medical Centers
  • 8.2.2. Community Hospitals
• 8.3. Diagnostic Imaging Centers
• 8.4. Other End Users (Teleradiology, Research Institutions)

9. Global AI for Radiology Market, by Region

• 9.1. Introduction
• 9.2. North America
  • 9.2.1. U.S.
  • 9.2.2. Canada
• 9.3. Europe
  • 9.3.1. Germany
  • 9.3.2. France
  • 9.3.3. U.K.
  • 9.3.4. Italy
  • 9.3.5. Spain
  • 9.3.6. Netherlands
  • 9.3.7. Rest of Europe
• 9.4. Asia-Pacific
  • 9.4.1. China
  • 9.4.2. Japan
  • 9.4.3. South Korea
  • 9.4.4. India
  • 9.4.5. Australia
  • 9.4.6. Rest of Asia-Pacific
• 9.5. Latin America
  • 9.5.1. Brazil
  • 9.5.2. Mexico
  • 9.5.3. Rest of Latin America
• 9.6. Middle East & Africa

10. Competitive Landscape

• 10.1. Overview
• 10.2. Key Growth Strategies
• 10.3. Competitive Benchmarking
• 10.4. Competitive Dashboard
  • 10.4.1. Industry Leaders
  • 10.4.2. Market Differentiators
  • 10.4.3. Vanguards
  • 10.4.4. Emerging Companies
• 10.5. Market Ranking/Positioning Analysis of Key Players, 2025

11. Company Profiles (Equipment Manufacturers & AI Solution Providers)

• 11.1. Siemens Healthineers AG
• 11.2. GE HealthCare
• 11.3. Koninklijke Philips N.V.
• 11.4. Canon Medical Systems Corporation
• 11.5. Fujifilm Holdings Corporation
• 11.6. Shanghai United Imaging Healthcare Co., Ltd.
• 11.7. Hologic, Inc.
• 11.8. Aidoc
• 11.9. Viz.ai
• 11.10. Lunit
• 11.11. RapidAI
• 11.12. Qure.ai
• 11.13. Annalise.ai
• 11.14. Rad AI
• 11.15. DeepHealth (RadNet, Inc.)
• 11.16. Enlitic, Inc.
• 11.17. Subtle Medical
• 11.18. Cleerly
• 11.19. Merative
• 11.20. iCAD

12. Appendix

• 12.1. Questionnaire
• 12.2. Related Reports