Global AI In Medical Imaging Market Size & Trends Report Segmented by Component (Software, Services), Modality (X-ray, CT, MRI, Ultrasound), Application (Oncology, Cardiology, Ophthalmology), End User (Hospitals, Diagnostic Imaging Centers) & Regional Forecast to 2030
The global AI in medical imaging market is set to witness a growth rate of ~28% in the next 5 years. Rising prevalence of chronic diseases and increasing imaging workload; surge in big data driven by digital transformation and widespread use of information systems; advancements in deep learning and AI algorithms; integration with PACS and cloud-based imaging solutions; government and private investments in AI healthcare; growing adoption of AI for personalized medicine; and increasing funding opportunities for AI-focused startups are some of the key factors driving the AI in medical imaging market. To learn more about the research report, download a sample report.
Report Overview
AI in medical imaging refers to the integration of artificial intelligence technologies, including machine learning and deep learning, to enhance the analysis, interpretation, and diagnosis of medical images. It automates image processing, detects patterns, and assists radiologists in identifying diseases such as cancer, neurological disorders, and cardiovascular conditions with greater accuracy and efficiency. AI-powered imaging solutions improve workflow efficiency, reduce diagnostic errors, and enable early disease detection. These technologies integrate with Picture Archiving and Communication Systems (PACS) and cloud platforms, facilitating remote diagnostics. AI in medical imaging is revolutionizing healthcare by optimizing precision medicine, reducing workload, and enhancing patient outcomes.
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Rising prevalence of chronic diseases and increasing imaging workload to propel market demand
The rising prevalence of chronic diseases, such as cancer, cardiovascular disorders, and neurological conditions, has significantly increased the demand for medical imaging. This surge in imaging procedures has placed immense pressure on radiologists, leading to increased workload and the risk of diagnostic errors. AI-driven medical imaging solutions help address this challenge by automating image analysis, detecting abnormalities with high accuracy, and streamlining workflows. By reducing radiologists' burden and improving diagnostic efficiency, AI enhances early disease detection and treatment planning. As healthcare providers seek to optimize resources and improve patient outcomes, AI adoption in medical imaging continues to accelerate.
Increasing funding opportunities for AI-focused startups are driving the market growth
Rising investments in AI-focused startups are driving innovation in medical imaging, improving diagnostic accuracy, workflow automation, and early disease detection. Funding from venture capital and government grants enables companies to refine AI solutions and expand clinical applications. Startups like Flywheel (US $54M Series D in 2023), Gleamer (US $27M Series B in 2023), Gradient Health (US $2.5M seed in 2022), and Qure.ai (US $40M funding in 2022) are leading advancements in AI-driven diagnostics. Industry giants Google, GE, and Philips are integrating AI into imaging tools, with Google Cloud enhancing cancer prediction and GE & Philips upgrading MRI, CT, and X-ray systems, optimizing radiology workflows and patient outcomes. These investments enable startups to refine their technology, obtain regulatory approvals, and expand market reach.
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Competitive Landscape Analysis
The global AI in medical imaging market is marked by the presence of established and emerging market players such as Microsoft Corporation, Koninklijke Philips N.V., Siemens Healthineers, GE Healthcare, Merative, Google (Alphabet Inc.), Canon Medical Systems Corporation, Fujifilm Holdings, Advanced Micro Devices, Inc., and Enlitic Inc; among others. Some of the key strategies adopted by market players include new product development, strategic partnerships and collaborations, and geographic expansion.
Report Scope
| Report Metric | Details |
| Base Year Considered | 2024 |
| Historical Data | 2023 - 2024 |
| Forecast Period | 2025 - 2030 |
| Growth Rate | ~28% |
| Market Drivers |
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| Attractive Opportunities |
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| Segment Scope | Component, Modality, Application, End User |
| Regional Scope |
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| Key Companies Mapped | Microsoft Corporation, Koninklijke Philips N.V., Siemens Healthineers, GE Healthcare, Merative, Google (Alphabet Inc.), Canon Medical Systems Corporation, Fujifilm Holdings, Advanced Micro Devices, Inc., and Enlitic Inc among others |
| Report Highlights | Market Size & Forecast, Growth Drivers & Restraints, Trends, Competitive Analysis |
Global AI In Medical Imaging Market Segmentation
This report by Medi-Tech Insights provides the size of the global AI in medical imaging market at the regional- and country-level from 2023 to 2030. The report further segments the market based on component, modality, application, end user.
Market Size & Forecast (2023-2030), By Component, USD Million
- Software
- Service
Market Size & Forecast (2023-2030), By Modality, USD Million
- X-ray
- Computed Tomography (CT)
- Magnetic Resonance Imaging (MRI)
- Ultrasound
- Others
Market Size & Forecast (2023-2030), By Application, USD Million
- Oncology
- Neurology
- Cardiology
- Obstetrics and Gynaecology
- Ophthalmology
- Orthopaedics
- Gastroenterology
- Others
Market Size & Forecast (2023-2030), By End User, USD Million
- Hospitals
- Diagnostic Imaging Centers
- Others
Market Size & Forecast (2023-2030), By Region, USD Million
- North America
- US
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe
- Asia Pacific
- China
- India
- Japan
- Rest of Asia Pacific
- Latin America
- Middle East & Africa
Key Strategic Questions Addressed
- What is the market size & forecast of the AI in medical imaging market?
- What are historical, present, and forecasted market shares and growth rates of various segments and sub-segments of the AI in medical imaging market?
- What are the key trends defining the market?
- What are the major factors impacting the market?
- What are the opportunities prevailing in the market?
- Which region has the highest share in the global market? Which region is expected to witness the highest growth rate in the next 5 years?
- Who are the major players operating in the market?
- What are the key strategies adopted by players?
- Introduction
- Introduction
- Market Scope
- Market Definition
- Segments Covered
- Regional Segmentation
- Research Timeframe
- Currency Considered
- Study Limitations
- Stakeholders
- List of Abbreviations
- Key Conferences and Events (2025-2026)
- Research Methodology
- Secondary Research
- Primary Research
- Market Estimation
- Bottom-Up Approach
- Top-Down Approach
- Market Forecasting
- Executive Summary
- AI in Medical Imaging Market Snapshot (2025-2030)
- Segment Overview
- Regional Snapshot
- Competitive Insights
- Market Overview
- Market Dynamics
- Drivers
- Rising prevalence of chronic diseases and increasing imaging workload
- Surge in big data driven by digital transformation and widespread use of information systems
- Advancements in deep learning and AI algorithms
- Integration with PACS and cloud-based imaging solutions
- Government and private investments in AI healthcare
- Growing adoption of AI for personalized medicine
- Increasing funding opportunities for AI-focused start-ups
- Restraints
- High costs of AI implementation
- Regulatory and legal challenges
- Data privacy and security concerns
- Lack of standardization in AI algorithms
- Opportunities
- Integration with cloud-based and edge computing solutions
- Advancements in 3D imaging and AI-powered radiomics
- Integration of AI with robotics and surgical imaging
- Increasing role of AI in telemedicine and remote diagnostics
- Key Market Trends
- Increased use of AI for early disease detection
- Rise of AI-driven decision support systems
- Personalized medicine and AI-driven predictive analytics
- Unmet Market Needs
- Industry Speaks
- Drivers
- Market Dynamics
- Global AI in Medical Imaging Market Size & Forecast (2023-2030), By Component, USD Million
- Introduction
- Software
- Services
- Global AI in Medical Imaging Market Size & Forecast (2023-2030), By Modality, USD Million
- Introduction
- X-ray
- Computed Tomography (CT)
- Magnetic Resonance Imaging (MRI)
- Ultrasound
- Others
- Global AI in Medical Imaging Market Size & Forecast (2023-2030), By Application, USD Million
- Introduction
- Oncology
- Neurology
- Cardiology
- Obstetrics and Gynaecology
- Ophthalmology
- Orthopaedics
- Gastroenterology
- Others
- Global AI in Medical Imaging Market Size & Forecast (2023-2030), By End User, USD Million
- Introduction
- Hospitals
- Diagnostic Imaging Centers
- Others
- Global AI in Medical Imaging Market Size & Forecast (2023-2030), By Region, USD Million
- Introduction
- North America AI in Medical Imaging Market Size & Forecast (2023-2030), By Country, USD Million
- US
- Market Size & Forecast, By Component (USD Million)
- Market Size & Forecast, By Modality (USD Million)
- Market Size & Forecast, By Application (USD Million)
- Market Size & Forecast, By End User (USD Million)
- Canada
- Market Size & Forecast, By Component (USD Million)
- Market Size & Forecast, By Modality (USD Million)
- Market Size & Forecast, By Application (USD Million)
- Market Size & Forecast, By End User (USD Million)
- US
- Europe AI in Medical Imaging Market Size & Forecast (2023-2030), By Country, USD Million
- UK
- Market Size & Forecast, By Component (USD Million)
- Market Size & Forecast, By Modality (USD Million)
- Market Size & Forecast, By Application (USD Million)
- Market Size & Forecast, By End User (USD Million)
- Germany
- Market Size & Forecast, By Component (USD Million)
- Market Size & Forecast, By Modality (USD Million)
- Market Size & Forecast, By Application (USD Million)
- Market Size & Forecast, By End User (USD Million)
- France
- Market Size & Forecast, By Component (USD Million)
- Market Size & Forecast, By Modality (USD Million)
- Market Size & Forecast, By Application (USD Million)
- Market Size & Forecast, By End User (USD Million)
- Italy
- Market Size & Forecast, By Component (USD Million)
- Market Size & Forecast, By Modality (USD Million)
- Market Size & Forecast, By Application (USD Million)
- Market Size & Forecast, By End User (USD Million)
- Spain
- Market Size & Forecast, By Component (USD Million)
- Market Size & Forecast, By Modality (USD Million)
- Market Size & Forecast, By Application (USD Million)
- Market Size & Forecast, By End User (USD Million)
- Rest of Europe
- Market Size & Forecast, By Component (USD Million)
- Market Size & Forecast, By Modality (USD Million)
- Market Size & Forecast, By Application (USD Million)
- Market Size & Forecast, By End User (USD Million)
- UK
- Asia Pacific (APAC) AI in Medical Imaging Market Size & Forecast (2023-2030), By Country, USD Million
- China
- Market Size & Forecast, By Component (USD Million)
- Market Size & Forecast, By Modality (USD Million)
- Market Size & Forecast, By Application (USD Million)
- Market Size & Forecast, By End User (USD Million)
- Japan
- Market Size & Forecast, By Component (USD Million)
- Market Size & Forecast, By Modality (USD Million)
- Market Size & Forecast, By Application (USD Million)
- Market Size & Forecast, By End User (USD Million)
- India
- Market Size & Forecast, By Component (USD Million)
- Market Size & Forecast, By Modality (USD Million)
- Market Size & Forecast, By Application (USD Million)
- Market Size & Forecast, By End User (USD Million)
- Rest of Asia Pacific
- Market Size & Forecast, By Component (USD Million)
- Market Size & Forecast, By Modality (USD Million)
- Market Size & Forecast, By Application (USD Million)
- Market Size & Forecast, By End User (USD Million)
- China
- Latin America (LATAM) AI in Medical Imaging Market Size & Forecast (2023-2030), USD Million
- Market Size & Forecast, By Component (USD Million)
- Market Size & Forecast, By Modality (USD Million)
- Market Size & Forecast, By Application (USD Million)
- Market Size & Forecast, By End User (USD Million)
- Middle East & Africa (MEA) AI in Medical Imaging Market Size & Forecast (2023-2030), USD Million
- Market Size & Forecast, By Component (USD Million)
- Market Size & Forecast, By Modality (USD Million)
- Market Size & Forecast, By Application (USD Million)
- Market Size & Forecast, By End User (USD Million)
- Competitive Landscape
- Key Players and their Competitive Positioning
- Key Player Comparison
- Segment-wise Player Mapping
- Market Share Analysis (2024)
- Company Categorization Matrix
- Dominants/Leaders
- New Entrants
- Emerging Players
- Innovative Players
- Key Strategies Assessment, By Player (2022-2025)
- New Product and Service Launches
- Partnerships, Agreements, & Collaborations
- Mergers & Acquisitions
- Geographic Expansion
- Key Players and their Competitive Positioning
- Company Profiles*
(Business Overview, Financial Performance**, Products Offered, Recent Developments)
- Microsoft Corporation
- Koninklijke Philips N.V.
- Siemens Healthineers
- GE Healthcare
- Merative
- Google (Alphabet Inc.)
- Canon Medical Systems Corporation
- Fujifilm Holdings
- Advanced Micro Devices, Inc.
- Enlitic Inc.
- Other Prominent Players
Note: *Indicative list
**For listed companies
The study has been compiled based on extensive primary and secondary research.
Secondary Research (Indicative List)
Primary Research
To validate research findings (market size & forecasts, market segmentation, market dynamics, competitive landscape, key industry trends, etc.), extensive primary interviews were conducted with both supply and demand-side stakeholders.
Supply Side Stakeholders:
- Senior Management Level: CEOs, Presidents, Vice-Presidents, Directors, Chief Technology Officers, Chief Commercial Officers
- Mid-Management Level: Product Managers, Sales Managers, Brand Managers, R&D Managers, Business Development Managers, Consultants
Demand Side Stakeholders:
- Stakeholders from Introduction, Hospitals, Diagnostic Imaging Centers; and Others
Breakdown of Primary Interviews
Market Size Estimation
Both ‘Top-Down & Bottom-Up Approaches’ were used to derive market size estimates and forecasts
Data Triangulation
Research findings derived through secondary sources & internal analysis was validated with Primary Interviews, Internal Knowledge Repository and Company’s Sales Data
