AI in medical imaging market seen reaching $19.4 billion by 2035, Healthcare Foresights says

Healthcare Foresights projects 20.9% annual growth from 2026 to 2035 as imaging volumes rise, radiologist shortages persist, and hospitals adopt AI-driven diagnostic software and cloud-based workflows.

Summary

The global AI in medical imaging market was valued at about $2.9 billion in 2025 and is expected to reach $3.5 billion in 2026 before expanding to roughly $19.4 billion by 2035, according to Healthcare Foresights. The firm forecasts a 20.9% compound annual growth rate from 2026 to 2035, driven by growing imaging volumes, shortages of radiologists, demand for faster clinical decision-making, and wider adoption of digital health systems and AI-powered diagnostic tools. The report describes AI in medical imaging as software and related technologies used across X-ray, CT, MRI, ultrasound and mammography workflows for image detection, diagnosis, segmentation, quantification and predictive analytics in radiology, cardiology, oncology and neurology. Healthcare Foresights said advances in deep learning, better explainability, multimodal AI models, cloud deployment, and integration with PACS and RIS are improving workflow efficiency and clinical trust. As of 2025, diagnostic AI software leads the market by product type, supported by its use in identifying abnormalities, providing quantitative analysis and helping differential diagnosis across imaging modalities. Direct sales to hospitals and diagnostic centers, along with cloud-based SaaS platforms, are described as the main deployment channels because they support integration, updates, training and subscription access. Regionally, North America is projected to grow at a 16.7% CAGR over the forecast period, supported by advanced healthcare infrastructure, high adoption of digital imaging and AI technologies, leading developers and regulatory backing for medical AI. Asia Pacific is identified as the fastest-growing region, driven by digital health transformation, expanding imaging infrastructure, higher healthcare spending, rising AI talent and government initiatives in countries including China, India and Japan. Healthcare Foresights highlighted Siemens Healthineers' 2025 expansion of its AI-Rad Companion line with new AI tools for chest CT and MRI analysis as a recent development. The report lists GE HealthCare Technologies, Siemens Healthineers, Koninklijke Philips, Canon Medical Systems, Aidoc, Viz.ai, HeartFlow, Butterfly Network, Qure.ai and RadNet among prominent market participants.

Terms & Concepts
  • PACS: Picture archiving and communication system used to store and share medical images.
  • RIS: Radiology information system used to manage imaging workflows and reporting.
  • SaaS: Software-as-a-service, a cloud delivery model that provides software by subscription over the internet.