AI-Powered Imaging Diagnostics Market Size to Reach USD 14.92 Billion by 2035 as Healthcare Providers Expand AI-Assisted Diagnostic Imaging

According to DataM Intelligence, the AI-powered imaging diagnostics market size was valued at USD 1.97 Billion in 2025 and is projected to reach USD 14.92 Billion by 2035, growing at a CAGR of 22.30% during the forecast period from 2026 to 2035. North America remains the leading regional market, while Asia-Pacific is expected to register the fastest growth during the forecast period. The market is expanding as healthcare providers increasingly adopt AI-assisted imaging solutions to improve diagnostic accuracy and reduce reporting time.
Radiology continues to be the primary application area, while adoption is steadily increasing across cardiology, oncology, neurology, and ophthalmology. Hospitals and diagnostic networks are moving beyond pilot projects and integrating AI into routine imaging workflows to improve productivity and manage growing imaging volumes. These factors continue to influence market trends, supporting long-term AI-powered imaging diagnostics market growth across healthcare systems.
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AI-Powered Imaging Diagnostics Market Recent Developments
• June 2026: GE HealthCare expanded its AI-powered imaging diagnostics portfolio by introducing advanced algorithms designed to support early disease detection and improve imaging workflow efficiency across clinical settings.
• May 2026: Siemens Healthineers introduced AI-driven diagnostic imaging solutions featuring automated image analysis and reporting capabilities to help radiology departments improve workflow efficiency.
• April 2026: Philips launched advanced AI-enabled imaging diagnostic systems with predictive analytics designed to support clinical decision-making and improve diagnostic confidence.

AI-Powered Imaging Diagnostics Market Mergers & Acquisitions
• May 2026: Aidoc secured new funding to expand its clinical AI platform and accelerate the global deployment of AI-powered medical imaging solutions across healthcare systems.
• April 2026: Brainomix announced an extension of its Series C financing to accelerate the development and commercialization of AI-powered imaging solutions while expanding its international presence.
• June 2026: Tempus AI expanded its multimodal imaging and precision diagnostics platform, strengthening its capabilities through strategic platform expansion to support personalized clinical decision-making.
• June 2026: deepc enhanced its enterprise clinical AI platform by expanding interoperability and AI application management, supporting broader deployment across healthcare organizations.
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AI-Powered Imaging Diagnostics Market Segmentation
By Component
• Software
• Hardware
• Services
Software holds the leading share of the AI-powered imaging diagnostics industry, driven by increasing adoption of AI-enabled image analysis, workflow automation, and clinical decision support solutions.
By Imaging Modality
• Computed Tomography (CT)
• X-Ray Imaging
• Magnetic Resonance Imaging (MRI)
• Ultrasound Imaging
• Mammography
• Positron Emission Tomography (PET)
• Others
Computed Tomography (CT) and X-Ray Imaging account for a significant portion of the market due to high imaging volumes and routine clinical use.
By Application
• Radiology
• Cardiology
• Ophthalmology
• Oncology
• Neurology
• Orthopedic
• Dentistry
• Others
Radiology remains the leading application segment because of its large imaging workload and the growing use of AI for image interpretation, workflow prioritization, and reporting efficiency.
By End User
• Hospitals
• Specialty Clinics
• Diagnostic Centers
• Research & Academic Institutes
• Others
Hospitals account for the largest AI-powered imaging diagnostics market share, supported by established imaging infrastructure and increasing deployment of AI-enabled diagnostic platforms.
By Region
• North America
• Latin America
• Europe
• Asia Pacific
• Middle East
• Africa
North America leads the market due to advanced healthcare infrastructure, strong investment in digital healthcare, and early adoption of AI-assisted imaging technologies. Asia-Pacific is expected to record the fastest expansion as healthcare systems continue investing in digital diagnostic capabilities.

AI-Powered Imaging Diagnostics Market Competitive Landscape
The market also continues to witness growing demand for integrated AI platforms that support image interpretation, reporting, and clinical decision-making within a single ecosystem. These developments are expected to strengthen the AI-powered imaging diagnostics market forecast over the coming years.
Top AI-Powered Imaging Diagnostics Market Key Players
• Philips
• Qure.ai
• Tempus AI
• Infervision
• Brainomix
Philips
Philips continues to strengthen its AI-enabled imaging portfolio by integrating intelligent software across CT, MRI, and other imaging systems. The company focuses on helping healthcare providers improve diagnostic confidence, streamline imaging workflows, and support better clinical decision-making through AI-assisted solutions.
Qure.ai
Qure.ai develops AI-powered medical imaging software that supports radiologists with faster image interpretation across chest X-rays, CT scans, and other diagnostic applications. The company continues expanding its clinical footprint through regulatory clearances and collaborations with healthcare organizations worldwide.
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Regional Analysis
North America leads the AI-powered imaging diagnostics market, supported by advanced healthcare infrastructure, high healthcare spending, and the strong presence of AI and medical imaging companies. The U.S. is a key contributor, with early adoption of AI in clinical workflows, supported by regulatory progress and evolving reimbursement frameworks. Europe is also witnessing steady growth, driven by regulations focused on patient safety, data privacy, and clinical validation.
Asia-Pacific is expected to be the fastest-growing region due to expanding healthcare infrastructure, rising diagnostic demand, and increasing investments in AI technologies. China and India are accelerating healthcare digitalization and adopting advanced diagnostic solutions, creating significant opportunities for AI-powered imaging vendors. Growing demand for early and accurate disease detection is further supporting regional market expansion.

Conclusion
The market is entering a phase of wider clinical adoption as healthcare organizations move beyond pilot projects and integrate AI into routine imaging workflows. Demand continues to increase for solutions that improve diagnostic accuracy, reduce reporting time, and support healthcare professionals in managing rising imaging volumes.
As healthcare providers gain greater confidence in the reliability and clinical value of AI, demand is shifting from experimental solutions toward technologies that can demonstrate tangible improvements in diagnostic accuracy, reporting efficiency, workflow productivity, and patient outcomes. Consequently, the market is expected to increasingly focus on scalable, interoperable, and clinically validated AI solutions that can address rising imaging workloads while complementing, rather than replacing, healthcare professionals.
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