Dublin, Aug. 11, 2025 (GLOBE NEWSWIRE) — The landscape of healthcare continues to evolve dramatically, particularly with the integration of artificial intelligence (AI) in medical imaging. According to the latest report, “U.S. AI In Medical Imaging Market Size, Share & Trends Analysis Report By Technology (Deep Learning), By Application (Neurology), By Modality (MRI), By End Use (Hospitals), And Segment Forecasts, 2025 – 2030”, the U.S. AI in medical imaging market is projected to reach a whopping USD 2.93 billion by 2030, growing at a compound annual growth rate (CAGR) of 33.24% from 2025 to 2030.
The surge in this market can be largely attributed to the increasing demand for managing extensive and complex datasets inherent in modern healthcare settings. As noted in September 2023, Kinetica introduced an innovative Large Language Model (LLM) that integrates seamlessly with their existing architecture. This model empowers users to conduct real-time ad-hoc data analysis through natural language queries without relying on external API calls, ensuring that data remains secure within the user’s environment. This advancement sets it apart from existing public LLMs and highlights the industry’s shift towards more secure, efficient data management solutions.
Government initiatives are also playing a crucial role in accelerating the adoption of AI technologies in healthcare. For instance, in February 2023, the U.S. General Services Administration (GSA) launched the Applied AI Healthcare Challenge. This competition invites diverse solutions from innovators to enhance the quality of medical care across various critical areas, including mental health, addiction treatment, and cancer detection. The initiative not only fosters innovation but also underscores the increasing collaboration between technology and healthcare sectors.
Market Dynamics and Growth Drivers
A closer look at the market reveals several critical segments driving growth. The deep learning technology segment is predicted to dominate, with revenue share estimates soaring to 58.29% in 2024. This segment’s growth benefits from the expanding availability of medical imaging datasets, which are essential for training sophisticated deep learning models. On the flip side, natural language processing (NLP) technologies are set to experience the fastest CAGR in the coming years, highlighting a growing focus on making medical data analysis more intuitive and accessible.
Application-wise, the neurology segment stands out, expected to capture a revenue share of 37.46% in 2024. AI’s role in neurology is crucial; it enhances patient care and accuracy, offering promising advancements in diagnostic precision. Interestingly, the breast screening segment is anticipated to experience the fastest growth, driven by rising awareness and technological improvements in screening methods.
Modality-wise, computed tomography (CT) scans will likely dominate with a 34.86% market share in 2024. Given that CT scans are the standard for numerous clinical evaluations, their dominance reflects the importance of reliable imaging methods in contemporary healthcare. Meanwhile, the X-ray segment is projected to grow at an impressive rate, showcasing the versatility and adaptability of AI applications in various imaging techniques.
Among end-use applications, hospitals represent the most significant segment, accounting for 52.99% of the market in 2024. The preference for hospital-based treatments is influenced by the convenience and comprehensive range of services offered, setting a robust pathway for growth in the coming years.
Innovative Collaborations
Transactions within the industry highlight the relentless pace of innovation. In September 2023, Microsoft paired up with Paige, a healthcare technology company, to develop expansive AI models aimed at digital pathology and oncology. This collaboration seeks to revolutionize cancer diagnostics and treatment, indicating a paradigm shift in how these conditions are approached. By leveraging the latest advances in computational power and machine learning, these partners aim to enhance patient outcomes significantly.
Industry Players and Competitive Landscape
Key players driving this innovation and market growth include industry giants such as GE HealthCare, Microsoft, Digital Diagnostics Inc., and TEMPUS, among others. Each of these companies is making significant investments in research and technological advancements to ensure they remain competitive in this rapidly evolving landscape. Startups and niche players are also crucial to maintaining dynamism within the industry, often introducing disruptive technologies and practices that challenge established norms.
This booming market reflects a vibrant future for healthcare, driven by AI and machine learning technologies that promise to enhance not just imaging capabilities but overall patient care. The trajectory toward more sophisticated, efficient, and user-friendly healthcare solutions is set to continue, paving the way for innovations that will ultimately benefit healthcare professionals and patients alike.
For a detailed dive into this burgeoning market, you can access the full report here.
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