World Market for AI in Medical Imaging – 2025

AI in Medical Imaging Market to Reach $21.6B by 2030, revolutionizing diagnostic accuracy and clinical workflows

Advances in deep learning, computer vision, and cloud-based analytics are cutting turnaround times by up to 30% while boosting detection rates for critical pathologies. According to our forecasts, the AI in Medical Imaging market will grow from approximately $3.9 billion in 2024 to $28.4 billion by 2032, reflecting a 29.9% CAGR.

Why This Matters

Higher accuracy in detecting diseases (oncology, cardiology, neurology) leads to better patient outcomes.
Automated triage speeds emergency diagnoses, easing radiologist shortages.
SaaS and cloud-based tools open adoption to mid-tier providers seeking cost-effective solutions.

Harness Marketstrat’s proprietary frameworks (TEM, ARC Index, M^3, Compass, GTM Growth Maturity) and data-driven insights to pinpoint where the fastest growth segments

Market Snapshot

- Global Coverage
  - Regions: North America, Europe, Asia-Pacific, Latin America, Middle East & Africa
  - Segmentation: By Modality (CT, MRI, X-ray, Ultrasound, Nuclear), By Clinical Area (Oncology, Cardiology, Neurology, Respiratory, Orthopedics, Others); By Clinical Application (7 applications); By Revenue Stream (Hardware, Software, Service, Cloud/Pay-per-Use); By End-Use Organizations (Hospitals, Imaging Centers, Clinics, Teleradiology, Other); By AI Technology (Deep Learning, Computer Vision, Machine Learning, NLP, Robotics, Expert Systems)
- Major Figures
  - $28.4B total market size by 2032
  - 29.9% CAGR (2023–2032)
  - Stroke Triage & Chest X-ray among fastest-growing sub-applications
- Analysis Provided – Markintel™ Methodology and Frameworks
  - Markintel™TEM Technology Evolution Matrix – Market Level
  - Markintel™ ARC Index (Approvals, Reimbursement, Clinical Validation) – Market Level
  - Markintel™ M^3 Market Momentum Matrix – Market Level
  - Markintel™ GTM Growth Maturity Model – Company and Regional Level
  - Markintel™ Technology Diffusion and Impact Timeline (TDIT) – Market Level
  - Markintel™ Solution Adoption and Growth Potential Matrix – Regional Level
  - Markintel™ Regional Readiness Rating – Regional Level
  - Markintel™ 360° Index – Company Level (for leading companies)
  - Markintel™ Ecosystem Collaboration Matrix (ECM) – Company and Region Level
  - Markintel™ Value Creation Framework – (Company Level)
  - Qualitative & Quantitative forecasts, competitor assessments
  - TAM and SAM estimates
  - GTM Playbooks by Region
  - Detailed Competitive Analysis and Standing

Bottom Line: The surge in AI adoption is driven by radiologist shortages, regulatory approvals for AI-driven diagnostics, and proven ROI through faster throughput and fewer errors.

Key Market Trends

Real-Time Triage & Workflow Automation
- Impact: Speeds up ED and radiology diagnoses by 20–30%, improving patient flow.
- ROI Angle: Stroke triage solutions can reduce read times by up to 25%, saving $50k+ annually in ED staffing.
Multi-Modality AI & Vendor-Neutral Solutions
- OEM vs. Specialist: OEMs integrate AI directly into scanners; specialized vendors offer standalone software with faster innovation cycles.
- Integration: Seamless compatibility with existing PACS/VNA ecosystems is a major selling point for vendor-neutral platforms.
SaaS & Cloud Deployments
- Pay-as-You-Go: Monthly subscription models are attractive for mid-tier hospitals with limited CAPEX.
- Future Outlook: Cloud-based analytics and HPC (high-performance computing) solutions are accelerating advanced image processing in lower-resource settings.

Competitive Landscape

OEM Giants: GE Healthcare, Siemens Healthineers, Philips, Canon, Mindray, United Imaging, Others
- Strength: End-to-end hardware-software bundles
- Focus: Integrated radiology suites, broad global presence
AI Specialists: Aidoc, Viz.ai, Qure.ai, HeartFlow, Others
- Strength: Targeted triage (stroke, cardiac, pulmonary) with high-accuracy algorithms
- Focus: Rapid FDA clearances, forging clinical validation with top hospitals
Tech Titans: Microsoft, AWS, Google, Others
- Strength: Cloud infrastructure, HPC, analytics platforms
- Focus: Partnerships with OEMs and healthcare providers for AI-driven imaging

What We Cover

Company Profiles: Product portfolios, regulatory milestones, market share
Markintel Scorecards: Weighted parameters (R&D, geographic reach, interoperability)
SWOT Summaries: Where each player excels or faces challenges

Sample Insights & Figures

Oncology AI leading with a 29% CAGR, especially in breast & lung detection modules.
Stroke triage solutions can reduce read times by up to 25%, saving an average of $50k annually in ED staffing costs.

(The full report includes 100+ charts, region-wise breakdowns, and extensive data tables.)

What’s Inside

Executive Summary
- Key findings, market size overview, top trends
Methodology & Assumptions
- Data sources, Markintel’s frameworks, validation approach
Market Overview & Dynamics
- Growth drivers (radiologist shortage, lower cost), challenges (data privacy, integration)
Segmentation Analysis
- By Clinical Area (oncology, cardiology, neurology, ortho, resp, other)
- By Imaging Modality (CT, MRI, X-ray, ultrasound, nuclear)
- By Clinical Application (Improved Diagnostic Accuracy & Classification, Efficiency & Data Handling (Workflow), Early Detection & Abnormality, Prognosis & Treatment (Precision), Image Enhancement & Dose Optimization, Segmentation & Feature Extraction, Integration Across Modalities
- By Revenue Stream (Hardware, Software, Service, Cloud/Pay-per-Use); By End-Use Organizations (Hospitals, Imaging Centers, Clinics, Teleradiology, Other);
- By End-Use Organization (Hospitals, Imaging Centers, Clinics, Teleradiology, Other)
- By AI Technology (machine learning, deep learning, NLP, etc.)
Market Estimates and Forecasts for the above segments by region (By Region (N. America, Europe, APAC, LATAM, MEA)
Key Market Trends & Strategic Benefits
- Emerging vendor-neutral platforms, real-time triage, advanced analytics
- ROI & case studies
Competitive Landscape
- OEMs, AI specialists, cloud providers
- Technology evolution & future outlook
Recommendations & Case Studies
- Markintel’s best practices, real-world success stories
Appendices & References
- Data tables, abbreviations, interview quotes

Why This Report?

Accelerated Decision-Making
- Pinpoint prime growth areas vs. saturated segments using Marketstrat’s proprietary presentations.
Competitive Edge
- Benchmark R&D spend, product pipelines, and partnership strategies of major players—stay ahead of the curve.
Risk Mitigation
- Understand how regional regulations and reimbursement policies can impact your AI rollout strategy, avoiding compliance pitfalls.
ROI & Operational Gains
- Learn from real-world case studies where AI-driven imaging solutions reduce operational costs, boost diagnostic speed, and improve patient outcomes.

Report Details

Forecast Period	2024–2030 (with extended outlook to 2032)
Market Size	From $3.9B (2024) to $21.3B (2030) at 27.6% CAGR
Pages	~300 pages (including 100+ charts & tables)
Companies Profiled	35+ (OEMs, AI specialists, tech titans)
Release Date	Q1 2025
Geographies Covered	N. America, Europe, Asia-Pacific, LATAM, MEA
Custom Region Breakouts	Available upon request (add-on)