AI medical imaging market size | Share & Forecast 2025

Q: What factors drive the overall growth of the AI medical imaging market?

The growth is mainly due to increasing demand for faster, more accurate diagnostics and improved imaging workflow efficiency.

Q: What are the major challenges in the AI medical imaging market?

Key challenges include regulatory hurdles, integration with existing hospital infrastructure, high implementation costs, and data privacy concerns.

Q: Which regions are expected to lead in market share?

North America leads due to its mature healthcare infrastructure, while Asia-Pacific is the fastest-growing region.

Q: What is the impact of AI in the medical imaging industry?

AI enables real-time analysis, assists radiologists in early disease detection, and streamlines image processing to reduce diagnostic errors and improve patient outcomes.

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Code: MTA4058

Publication Date: Jun 2025

What is the AI medical imaging market size?

According to 6Wresearch internal database and industry insights, the Global AI Medical Imaging Market was valued at approximately USD 1.28 billion in 2024 and is projected to surpass a valuation of USD 26.2 Billion by 2031, at a CAGR of 12%.

This growth is inspired by the increasing integration of AI in radiology workflows, rapid image interpretation, improved clinical accuracy, and allowing an increase in operational efficiency in healthcare systems.

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Key Growth factors

Widely adopting AI devices in radiology
Demand to detect early and accurate disease in oncology, neurology and cardiology
Over chronic diseases and aging population requiring regular imaging
Deployment of cloud-based imaging platforms and telemedicine
Increased investment by healthcare providers and technical companies
Regulatory Support for AI-based medical devices

AI Medical Imaging Market Trends

The AI medical imaging market is poised for significant growth, driven by rapid advancements in artificial intelligence technologies and their integration into healthcare systems. Increasing demand for early disease detection and diagnosis, coupled with a rise in chronic illnesses, is encouraging the adoption of AI-powered imaging solutions. These technologies enhance image analysis, improve diagnostic accuracy, and streamline workflow efficiency, leading to cost-effective healthcare delivery.