World Market for AI in Medical Imaging 2025-2032

Radiology faces a triple squeeze: rising scan volumes, stagnant radiologist head-count, and fast-evolving reimbursement that now rewards computer-assisted detection, triage, and quantification. AI is no longer experimental; it is operational. Capital allocation is shifting, yet market signals remain noisy - valuations, attach-rate assumptions, and regulatory pace vary sharply by geography and modality. This report cuts through that noise and offers a single, evidence-weighted source of truth.

World Market for AI in Medical Imaging 2025-2032 quantifies and explains the fastest-growing slice of diagnostic imaging: software algorithms that detect, triage, quantify or automate findings across CT, MRI, X-ray/DR, Ultrasound and PET/Nuclear studies. Global market reached US $ 2.7 billion in 2023 and is projected to climb to US $ 28.4 billion by 2032 - a 29.9 % CAGR driven by enterprise “AI-store” contracts, payer reimbursement codes (NTAP, CADx CPT, Chinese subsidies) and rising scan volumes amid radiologist shortages. North America remains the single largest dollar contributor, but APAC overtakes Europe in growth rate after 2027. CT and MRI account for >60 % of spend today, while Oncology AI overtakes Neurology by 2028. Seven proprietary frameworks - M³, TEM, ARC, GTM Growth-Maturity, Platform-Leverage, Ecosystem Collaboration, and Solution Adoption & Growth - translate thousands of datapoints into four-quadrant visuals that flag where evidence, technical readiness and go-to-market execution converge. Volume One provides the macro view, market analyses + forecasts, strategic frameworks, and Volume Two provides a vendor-level lens on 120 companies.

Report Scope

• Deliverables: Two-volume package - Volume 1 “Market Analysis & Forecasts” (380 pages) and Volume 2 “Company Briefs” (510 pages).
• Segmentation depth: Forecasts cut by five imaging modalities, seven clinical application areas, five geographic regions (twelve individual countries plus regional clusters), three revenue streams, five end-use or buyer segments / organizations, six AI technology categories.
• Time frame: 2023-24 actuals with 2025-2032 outlook;
• Key proprietary analytical frameworks: M³ Matrix (size vs CAGR hotspots), TEM Map (technology maturity), ARC Index (approvals + reimbursement + clinical evidence), GTM Growth-Maturity Quadrant (vendor trajectory), Platform-Leverage Strip (ARR stickiness), Ecosystem Collaboration, and Solution Adoption & Growth Matrix (suite depth vs scaling velocity).
• Company Briefs: 120 Company profiles with frameworks & proprietary tools (Platform Leverage Strip, Growth & Maturity Heatmap, Attach-Rate Model, Reg-P Matrix. These briefs are decision tools. Numbers are directional, normalized for comparability, and best read alongside the underpinning sensitivity tables. Insights highlight levers - attach rate, modality expansion, and regulatory cadence. Use the Growth & Maturity Heatmap to gauge trajectory; deploy the Insight scenarios to stress test your own assumptions; consult the Watch Items to track each company’s execution risk.
• Intended users: OEM and pure-play AI SW comapanies, investors sizing attach-rate upside, hospitals vetting vendor evidence before purchase, and regulators monitoring SaMD clearance velocity.

Countries/Regions Covered

• North America (US, Canada)
• Europe (Germany, France, UK, Italy, Spain, ROE)
• APAC (China, Japan, India, S. Korea, Australia, ROAPAC)
• LATAM
• MEA