AI‑based radiology software market seen reaching $28.9b by 2030

It is expected to benefit from the integration of generative AI.

The global market for artificial intelligence (AI)-based radiology software is projected to reach $28.9b by 2030, driven by rising imaging volumes tied to cardiovascular disease.

The Growth Market Reports said cancer and neurological disorders, alongside demand for faster diagnostics, are also contributing to market growth.

AI algorithms can now flag abnormalities in X-rays, CT scans, MRIs, ultrasounds and mammography within seconds, supporting time-sensitive treatment decisions.

Additionally, deep learning and computer vision advances are improving image segmentation, lesion detection and disease classification.

Meanwhile, cloud-based deployment is enabling multi-location data access and cross-regional collaboration among specialists.

Adoption faces headwinds, however. Data privacy compliance, integration costs with existing hospital information systems and PACS, and the need for clinical validation to build physician trust remain key barriers.

Looking ahead, the market is expected to benefit from integration of generative AI, predictive analytics and multimodal imaging analysis, as well as growing use of AI in precision medicine and tele-radiology for underserved regions.