AI In Medical Imaging Market Trends: In-Depth Analysis of Market Growth & Forecast Up To 2030

The Global AI in Medical Imaging Market is anticipated to expand at an impressive CAGR of nearly 28% over the next five years. This rapid growth is fueled by several factors, including the rising incidence of chronic illnesses, increasing imaging volumes, digital transformation in healthcare, and the growing adoption of AI-powered data analytics. Continuous advancements in deep learning algorithms, integration with cloud-based PACS systems, and surging government as well as private sector investments in AI healthcare further accelerate market momentum. Additionally, the push toward personalized and precision medicine and the increasing availability of funding for AI-centric startups are expanding the market landscape.

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Market Overview

Artificial Intelligence (AI) in medical imaging harnesses technologies such as machine learning, deep learning, and computer vision to automate and enhance the analysis of medical images. These technologies assist radiologists in detecting diseases like cancer, cardiovascular disorders, and neurological abnormalities with improved speed and accuracy. AI solutions not only streamline workflows and reduce diagnostic errors but also enable early detection of conditions and facilitate more informed clinical decision-making. The seamless integration of AI with cloud-based imaging and PACS platforms supports remote diagnostics and collaborative care, transforming medical imaging into a cornerstone of data-driven precision healthcare.

Growing Imaging Burden and Rising Disease Prevalence Fuel Market Growth

The increasing global burden of chronic diseases—such as cancer, stroke, and heart disease—has driven a surge in medical imaging procedures, creating mounting pressure on radiologists. AI-based imaging tools address this challenge by automating repetitive tasks, flagging abnormalities with high precision, and improving workflow efficiency. By minimizing human error and accelerating interpretation time, these tools enable clinicians to make faster and more accurate diagnoses, ultimately improving patient outcomes. As healthcare systems aim to optimize efficiency and resource utilization, the integration of AI in imaging continues to gain significant traction.

Rising Funding and Startups Accelerate Innovation

Substantial investments from venture capital firms, healthcare institutions, and government programs are catalyzing innovation in AI-driven medical imaging. Startups such as Flywheel (raised $54M in Series D, 2023), Gleamer ($27M Series B, 2023), Gradient Health ($2.5M seed, 2022), and Qure.ai ($40M, 2022) are advancing AI-enabled diagnostics and workflow automation. Meanwhile, major players like Google, GE Healthcare, and Philips are embedding AI capabilities into their imaging modalities—including MRI, CT, and X-ray systems—to boost accuracy and operational efficiency. This wave of funding supports the refinement of AI algorithms, expansion into new clinical areas, and acceleration of regulatory approvals and commercialization efforts.

The COVID-19 pandemic had a significant and positive influence on the medical imaging market, as imaging technologies became one of the key diagnostic tools for rapid COVID-19 screening. Radiological modalities such as CT and X-ray were widely utilized for detecting lung abnormalities associated with the virus, enabling clinicians to make timely and accurate diagnoses. The extensive imaging data generated during this period also served as a valuable resource for studying the virus's progression and its varying impact across different demographic groups. Many healthcare institutions increasingly relied on advanced imaging and analytics to enhance disease detection, optimize patient management, and control the spread of infection more effectively.

In parallel, growing awareness of the advantages of Artificial Intelligence (AI) in healthcare accelerated the adoption of AI-based diagnostic and operational solutions. AI technologies demonstrated their ability to automate image interpretation, identify complex patterns, and support clinical decision-making—capabilities that became especially critical during the pandemic. To capitalize on these opportunities, leading healthcare organizations have pursued strategic initiatives such as mergers, partnerships, and collaborations with AI technology developers. These alliances are driving innovation, enabling the development of next-generation AI applications, and strengthening the competitive positioning of companies within the rapidly evolving healthcare technology landscape.

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Competitive Landscape

The AI in medical imaging ecosystem features both established technology leaders and innovative startups. Key players include Microsoft Corporation, Siemens Healthineers, Koninklijke Philips N.V., GE Healthcare, Google (Alphabet Inc.), Merative, Canon Medical Systems, Fujifilm Holdings, Advanced Micro Devices (AMD), and Enlitic Inc., among others. These companies are pursuing strategies such as strategic partnerships, product innovation, and geographic expansion to strengthen their competitive positions in this rapidly evolving market.

Market Segmentation

Medi-Tech Insights' latest report provides a comprehensive assessment of the global AI in medical imaging market, with forecasts from 2023 to 2030 across key geographies. The market is segmented based on component, imaging modality, application area, and end user, offering an in-depth understanding of growth trends, competitive dynamics, and emerging opportunities shaping the future of AI in diagnostic imaging.

Market Size & Forecast (2023-2030), By Component, USD Million

• Software
• Service

Market Size & Forecast (2023-2030), By Modality, USD Million

• X-ray
• Computed Tomography (CT)
• Magnetic Resonance Imaging (MRI)
• Ultrasound
• Others

Market Size & Forecast (2023-2030), By Application, USD Million

• Oncology
• Neurology
• Cardiology
• Obstetrics and Gynaecology
• Ophthalmology
• Orthopaedics
• Gastroenterology
• Others

Market Size & Forecast (2023-2030), By End User, USD Million

• Hospitals
• Diagnostic Imaging Centers
• Others

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