영상 진단용 AI 시장 : 시장 규모, 점유율, 동향 및 성장 분석(2026-2034년)

The global AI in medical imaging market size is expected to reach USD 23.21 Billion in 2034 from USD 2.06 Billion in 2025, growing at a CAGR of 30.88 during 2026-2034.This market is witnessing substantial growth due to the increasing adoption of artificial intelligence technologies in diagnostic imaging workflows. AI-powered medical imaging solutions help healthcare professionals analyze images more efficiently, improve diagnostic accuracy, and reduce interpretation time. Rising demand for advanced healthcare technologies and growing imaging volumes are driving widespread implementation across hospitals and diagnostic centers.

Technological advancements in machine learning, deep learning, and computer vision are major growth drivers. AI systems are increasingly being used for disease detection, image enhancement, workflow optimization, and clinical decision support. Growing prevalence of chronic diseases and rising demand for early diagnosis are encouraging healthcare providers to invest in intelligent imaging solutions. Supportive regulatory developments are also accelerating market adoption.

Future prospects remain highly promising as healthcare institutions continue embracing digital transformation. The integration of AI with radiology, pathology, and diagnostic platforms is expected to create significant opportunities. Increasing investments in healthcare technology innovation and expanding access to medical imaging services will further support growth. As precision medicine advances, AI in medical imaging is expected to become an essential component of modern healthcare delivery.

Our reports are carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Offering

• Software Tools / Platforms
• Services
• Hardware / Integrated Solutions

By Imaging Modality

• X-ray
• Computed Tomography (CT)
• Magnetic Resonance Imaging (MRI)
• Ultrasound
• Positron Emission Tomography (PET) / SPECT

By Application

• Oncology
• Neurology
• Cardiology
• Musculoskeletal and Orthopedics
• Breast Imaging
• Pulmonology

By Deployment Model

• On-premise
• Cloud / Web-based
• Hybrid

By End User

• Hospitals and Clinics
• Diagnostic Imaging Centers
• Ambulatory Surgery Centers (ASC)
• Research and Academic Institutes
• Teleradiology Providers

COMPANIES PROFILED

• Aidoc Medical Ltd., Agfa-Gevaert Group, Butterfly Network, Inc., Canon Medical Systems Corp., EchoNous, Inc., Enlitic Inc., Fujifilm Holdings Corp., GE HealthCare Technologies Inc., iCAD Inc., Koninklijke Philips N.V., Lunit Inc., Nanox AI (formerly Zebra Medical Vision), NVIDIA Corporation, Oxipit UAB, Qure.ai Technologies Pvt. Ltd., RapidAI, Inc., Sectra AB, Siemens Healthineers AG, Tempus Radiology (formerly Arterys Inc.), Visage Imaging GmbH

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 AI IN MEDICAL IMAGING MARKET: BY OFFERING 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Offering
• 4.2. Software Tools / Platforms Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Hardware / Integrated Solutions Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL AI IN MEDICAL IMAGING MARKET: BY IMAGING MODALITY 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Imaging Modality
• 5.2. X-ray Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Computed Tomography (CT) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Magnetic Resonance Imaging (MRI) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Ultrasound Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.6. Positron Emission Tomography (PET) / SPECT Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL AI IN MEDICAL IMAGING MARKET: BY APPLICATION 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Application
• 6.2. Oncology Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Neurology Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Cardiology Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.5. Musculoskeletal and Orthopedics Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.6. Breast Imaging Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.7. Pulmonology Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL AI IN MEDICAL IMAGING MARKET: BY DEPLOYMENT MODEL 2022-2034 (USD MN)

• 7.1. Market Analysis, Insights and Forecast Deployment Model
• 7.2. On-premise Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.3. Cloud / Web-based Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.4. Hybrid Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL AI IN MEDICAL IMAGING MARKET: BY END USER 2022-2034 (USD MN)

• 8.1. Market Analysis, Insights and Forecast End User
• 8.2. Hospitals and Clinics Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.3. Diagnostic Imaging Centers Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.4. Ambulatory Surgery Centers (ASC) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.5. Research and Academic Institutes Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.6. Teleradiology Providers Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL AI IN MEDICAL IMAGING MARKET: BY REGION 2022-2034 (USD MN)

• 9.1. Regional Outlook
• 9.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.2.1 By Offering
  • 9.2.2 By Imaging Modality
  • 9.2.3 By Application
  • 9.2.4 By Deployment Model
  • 9.2.5 By End User
  • 9.2.6 United States
  • 9.2.7 Canada
  • 9.2.8 Mexico
• 9.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.3.1 By Offering
  • 9.3.2 By Imaging Modality
  • 9.3.3 By Application
  • 9.3.4 By Deployment Model
  • 9.3.5 By End User
  • 9.3.6 United Kingdom
  • 9.3.7 France
  • 9.3.8 Germany
  • 9.3.9 Italy
  • 9.3.10 Russia
  • 9.3.11 Rest Of Europe
• 9.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.4.1 By Offering
  • 9.4.2 By Imaging Modality
  • 9.4.3 By Application
  • 9.4.4 By Deployment Model
  • 9.4.5 By End User
  • 9.4.6 India
  • 9.4.7 Japan
  • 9.4.8 South Korea
  • 9.4.9 Australia
  • 9.4.10 South East Asia
  • 9.4.11 Rest Of Asia Pacific
• 9.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.5.1 By Offering
  • 9.5.2 By Imaging Modality
  • 9.5.3 By Application
  • 9.5.4 By Deployment Model
  • 9.5.5 By End User
  • 9.5.6 Brazil
  • 9.5.7 Argentina
  • 9.5.8 Peru
  • 9.5.9 Chile
  • 9.5.10 Rest of Latin America
• 9.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.6.1 By Offering
  • 9.6.2 By Imaging Modality
  • 9.6.3 By Application
  • 9.6.4 By Deployment Model
  • 9.6.5 By End User
  • 9.6.6 Saudi Arabia
  • 9.6.7 UAE
  • 9.6.8 Israel
  • 9.6.9 South Africa
  • 9.6.10 Rest of the Middle East And Africa

Chapter 10. COMPETITIVE LANDSCAPE

• 10.1. Recent Developments
• 10.2. Company Categorization
• 10.3. Supply Chain & Channel Partners (based on availability)
• 10.4. Market Share & Positioning Analysis (based on availability)
• 10.5. Vendor Landscape (based on availability)
• 10.6. Strategy Mapping

Chapter 11. COMPANY PROFILES OF GLOBAL AI IN MEDICAL IMAGING INDUSTRY

• 11.1. Top Companies Market Share Analysis
• 11.2. Company Profiles
  • 11.2.1 Aidoc Medical Ltd
  • 11.2.2 Agfa-Gevaert Group
  • 11.2.3 Butterfly NetworkInc
  • 11.2.4 Canon Medical Systems Corp
  • 11.2.5 EchoNousInc
  • 11.2.6 Enlitic Inc
  • 11.2.7 Fujifilm Holdings Corp
  • 11.2.8 GE HealthCare Technologies Inc
  • 11.2.9 ICAD Inc
  • 11.2.10 Koninklijke Philips N.V
  • 11.2.11 Lunit Inc
  • 11.2.12 Nanox AI (formerly Zebra Medical Vision)
  • 11.2.13 NVIDIA Corporation
  • 11.2.14 Oxipit UAB
  • 11.2.15 Qure.ai Technologies Pvt. Ltd
  • 11.2.16 RapidAIInc
  • 11.2.17 Sectra AB
  • 11.2.18 Siemens Healthineers AG
  • 11.2.19 Tempus Radiology (formerly Arterys Inc.)
  • 11.2.20 Visage Imaging GmbH