PUBLISHER: Marketstrat, Inc. | PRODUCT CODE: 1892159
PUBLISHER: Marketstrat, Inc. | PRODUCT CODE: 1892159
The global Oncology Imaging AI market is forecast to grow from US$604.7M in 2023 to US$7.74B by 2032 (32.7% CAGR)-making oncology one of the fastest-scaling categories inside medical imaging AI and a leading indicator for where enterprise buyers will place their next AI budgets.
Global Oncology Imaging AI Market Pulse 2025-2032: Size, Mix & Momentum is Marketstrat's world-market sizing and forecasting report for AI in cancer imaging-covering how demand is shifting across regions, modalities (CT, mammography/DBT, MRI, PET/Nuclear, ultrasound), clinical applications, tumor sites, care pathway stages, end-use settings, and revenue models.
This Pulse is built for teams who want a clean, quantitative global view-without needing to navigate a full multi-hundred-page Horizon program. It delivers a fast, decision-grade answer to:
Market expands from US$604.7M (2023) to US$7.74B (2032) at a 32.7% CAGR, driven primarily by attach-rate expansion and workflow adoption, not scanner unit growth.
Oncology imaging AI is shifting from single-task CAD toward pathway-wide workflows-screening, detection, staging, treatment planning (including RT), response assessment, and surveillance-where standardized measurement becomes a clinical and economic requirement.
Breast screening (mammography/DBT) and LDCT lung screening continue to expand and industrialize, increasing demand for AI that supports triage, QA, second reads, and program operations at scale.
Across MRI (prostate/liver), CT (lung pathways), and PET/Nuclear (theranostics), growth increasingly concentrates in quantification, analytics, and structured reporting-tools that make cancer imaging more reproducible and operationally scalable.
MRI is the fastest-growing major modality, and PET/Nuclear grows as a high-value niche as therapy-linked imaging (including theranostics) expands demand for quantification and dosimetry-oriented AI.
Software remains the core revenue engine, while cloud/usage-based (PPU) models accelerate in high-volume workflows (screening hubs, teleradiology, and enterprise multi-site networks). Services expand alongside validation, monitoring, and governance requirements.
This Global Pulse focuses on how the market is captured-not vendor-by-vendor market shares. The report highlights the commercial rails that shape winners and pricing power across segments:
The following companies/divisions have been mentioned (not profiled): Aidoc; AIQ Solutions; Annalise.ai; Arterys; Bayer; Blackford; Calantic; Canon Medical; CARPL.ai; DeepHealth; Deepwise; Densitas; EXINI Diagnostics; Fujifilm; GE HealthCare; Hermes Medical Solutions; Hologic; Imbio; Incepto; Kheiron; Koios Medical; Lantheus; Lunit; Median Technologies; MIM Software; Mindray; Mirada Medical; MVision AI; Nuance; Oxipit; Perspectum; Philips; Ping An Healthcare; Quibim; Qure.ai; Rad AI; RadNet; RaySearch; Riverain; ScreenPoint; Sectra; Segami; Siemens Healthineers; Subtle Medical; Tempus; TheraPanacea; United Imaging; Vara; Varian
Inside this report, readers gain immediate answers to questions such as:
This Pulse includes 41 figures and 36 tables, structured to be reusable in planning decks, investment briefs, and GTM prioritization.
Global Oncology Imaging AI Market Pulse 2025-2032 is built for teams that need high-confidence sizing plus practical segmentation-the combination required to make real decisions: