의료 영상용 인공지능(AI) 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

The Artificial Intelligence in Medical Imaging Market size is expected to reach USD 39.53 Billion in 2034 from USD 2.62 Billion (2025) growing at a CAGR of 35.18% during 2026-2034.

The AI in medical imaging market is expanding rapidly as computational intelligence transforms diagnostics, workflow efficiency, and patient care. AI algorithms enhance imaging modalities such as MRI, CT, and ultrasound by enabling early disease detection, automated image analysis, and predictive modeling. Healthcare providers are increasingly deploying AI-driven systems to reduce diagnostic errors, accelerate decision-making, and optimize radiology department efficiency. Rising investment in digital health, big data analytics, and cloud infrastructure is further catalyzing adoption globally.

Technological integration is central to growth. Deep learning models, natural language processing, and edge AI are being embedded into imaging platforms to interpret complex datasets in real time. AI-powered image segmentation, lesion detection, and quantitative analysis enable precision diagnostics and personalized treatment planning. Interoperability with electronic health records and PACS (Picture Archiving and Communication Systems) ensures seamless clinical workflows, while AI-assisted triaging reduces clinician workload and accelerates patient throughput.

Future prospects are anchored in predictive healthcare, precision medicine, and tele-radiology adoption. Emerging markets are investing in AI-enabled imaging to address limited radiology expertise, while mature regions focus on high-value applications such as oncology, cardiology, and neurology. Partnerships between AI developers, imaging equipment manufacturers, and healthcare providers are expanding the ecosystem of scalable solutions. As AI continues to evolve, it will fundamentally redefine medical imaging, enhancing diagnostic accuracy, operational efficiency, and patient-centered care.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Technology

• Deep Learning
• Natural Language Processing (NLP)
• Others

By Application

• Neurology
• Respiratory and Pulmonary
• Cardiology
• Breast Screening
• Orthopedics
• Others

By Modalities

• CT Scan
• MRI
• X-rays
• Ultrasound
• Nuclear Imaging

By End Use

• Hospitals
• Diagnostic Imaging Centers
• Others

COMPANIES PROFILED

• GE HealthCare, Microsoft, Digital Diagnostics Inc, Tempus, Butterfly Network Inc, HeartFlow Inc, Enlitic Inc, Canon Medical Systems USA Inc, Vizai Inc, NanoX Imaging Ltd
• We can customise the report as per your requirements.

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Technology
• 4.2. Deep Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Natural Language Processing (NLP) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET: BY APPLICATION 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Application
• 5.2. Neurology Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Respiratory and Pulmonary Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Cardiology Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Breast Screening Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.6. Orthopedics Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.7. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET: BY MODALITIES 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Modalities
• 6.2. CT Scan Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. MRI Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. X-rays Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.5. Ultrasound Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.6. Nuclear Imaging Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET: BY END USE 2022-2034 (USD MN)

• 7.1. Market Analysis, Insights and Forecast End Use
• 7.2. Hospitals Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.3. Diagnostic Imaging Centers Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.4. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET: BY REGION 2022-2034(USD MN)

• 8.1. Regional Outlook
• 8.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.2.1 By Technology
  • 8.2.2 By Application
  • 8.2.3 By Modalities
  • 8.2.4 By End Use
  • 8.2.5 United States
  • 8.2.6 Canada
  • 8.2.7 Mexico
• 8.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.3.1 By Technology
  • 8.3.2 By Application
  • 8.3.3 By Modalities
  • 8.3.4 By End Use
  • 8.3.5 United Kingdom
  • 8.3.6 France
  • 8.3.7 Germany
  • 8.3.8 Italy
  • 8.3.9 Russia
  • 8.3.10 Rest Of Europe
• 8.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.4.1 By Technology
  • 8.4.2 By Application
  • 8.4.3 By Modalities
  • 8.4.4 By End Use
  • 8.4.5 India
  • 8.4.6 Japan
  • 8.4.7 South Korea
  • 8.4.8 Australia
  • 8.4.9 South East Asia
  • 8.4.10 Rest Of Asia Pacific
• 8.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.5.1 By Technology
  • 8.5.2 By Application
  • 8.5.3 By Modalities
  • 8.5.4 By End Use
  • 8.5.5 Brazil
  • 8.5.6 Argentina
  • 8.5.7 Peru
  • 8.5.8 Chile
  • 8.5.9 South East Asia
  • 8.5.10 Rest of Latin America
• 8.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.6.1 By Technology
  • 8.6.2 By Application
  • 8.6.3 By Modalities
  • 8.6.4 By End Use
  • 8.6.5 Saudi Arabia
  • 8.6.6 UAE
  • 8.6.7 Israel
  • 8.6.8 South Africa
  • 8.6.9 Rest of the Middle East And Africa

Chapter 9. COMPETITIVE LANDSCAPE

• 9.1. Recent Developments
• 9.2. Company Categorization
• 9.3. Supply Chain & Channel Partners (based on availability)
• 9.4. Market Share & Positioning Analysis (based on availability)
• 9.5. Vendor Landscape (based on availability)
• 9.6. Strategy Mapping

Chapter 10. COMPANY PROFILES OF GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING INDUSTRY

• 10.1. Top Companies Market Share Analysis
• 10.2. Company Profiles
  • 10.2.1 GE HealthCare
  • 10.2.2 Microsoft
  • 10.2.3 Digital Diagnostics Inc
  • 10.2.4 Tempus
  • 10.2.5 Butterfly Network Inc
  • 10.2.6 HeartFlow Inc
  • 10.2.7 Enlitic Inc
  • 10.2.8 Canon Medical Systems USA Inc
  • 10.2.9 Viz.Ai Inc
  • 10.2.10 Nano-X Imaging Ltd