AI in Medical Imaging Market to Reach US$ 11.25 Billion by 2033 at 24.6% CAGR, Driven by Rising Diagnostic Accuracy Needs and AI Integration in Radiology | DataM Intelligence

According to DataM Intelligence, the global AI in Medical Imaging market was valued at US$ 1.29 billion in 2023, reached US$ 1.58 billion in 2024, and is expected to reach US$ 11.25 billion by 2033, growing at a CAGR of 24.6% during 2025-2033, driven by increasing demand for faster and more accurate diagnostics, rapid adoption of deep learning in X-ray, MRI, CT, ultrasound, and mammography, strong North American dominance at 42.6% share in 2024, and Asia-Pacific's fastest growth with 22.4% share fueled by expanding healthcare infrastructure.

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AI in Medical Imaging Market Key Mergers and Acquisitions

✦ January 2026: GE HealthCare acquired a specialized AI radiology startup to enhance its imaging software suite with advanced deep learning algorithms for CT and MRI diagnostics.
✦ December 2025: Siemens Healthineers AG completed a strategic acquisition of an AI-driven diagnostic imaging firm to integrate real-time anomaly detection into its X-ray and ultrasound platforms.
✦ November 2025: Koninklijke Philips NV secured a licensing agreement with an AI healthcare innovator to incorporate next-generation image analysis tools into its MRI and mammography systems.

AI in Medical Imaging Market Key Industry Developments

☑️ January 2026: GE HealthCare, Siemens Healthineers AG, and Koninklijke Philips NV launched next-generation AI-enhanced imaging platforms with improved diagnostic accuracy for X-ray, CT, and MRI, gaining FDA clearances and hospital contracts in North America.
☑️ December 2025: Aidoc, Qure.ai, and Blackford Analysis expanded AI triage and prioritization tools for emergency radiology, with new deployments in major U.S. and European hospitals to accelerate report turnaround times.
☑️ November 2025: FUJIFILM Corporation and Canon Medical Systems GmbH introduced cloud-based AI modules for mammography and ultrasound, targeting Asia-Pacific growth with focus on early cancer detection and workflow efficiency.

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AI in Medical Imaging Market Segmentation Analysis

By Modality: Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) hold significant shares due to high diagnostic complexity and AI's strong impact on image interpretation; X-ray Imaging leads in volume with widespread AI triage use; Ultrasound Imaging and Mammography grow rapidly for real-time and screening applications; Others include PET, SPECT, and hybrid modalities.

By Deployment Mode: Cloud-Based Solutions dominate and grow fastest due to scalability, remote access, and lower infrastructure costs for hospitals and clinics; On-Premise Solutions remain relevant for data privacy-sensitive institutions; Hybrid Models expand for balanced performance and compliance needs.

By Component: Software leads with AI algorithms and deep learning models for image analysis and diagnosis; Hardware (GPUs, accelerators) supports high-compute requirements; Services grow steadily for implementation, training, and maintenance.

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AI in Medical Imaging Market Competitive Landscape / Key Players

✦ GE HealthCare - In January 2026, acquired an AI radiology startup to enhance deep learning capabilities in CT and MRI, and launched AI-powered workflow tools for faster image interpretation in hospitals.
✦ Siemens Healthineers AG - Acquired an AI diagnostic firm in December 2025 to integrate real-time anomaly detection in X-ray and ultrasound, expanding its AI-Rad Companion suite for global radiology departments.
✦ Koninklijke Philips NV - Licensed next-gen image analysis tech in November 2025 and rolled out cloud-based AI modules for mammography and ultrasound, improving early detection and diagnostic confidence in Europe and Asia-Pacific.
✦ Aidoc - Expanded AI triage and prioritization solutions in December 2025 with new FDA clearances for emergency radiology, accelerating adoption in U.S. hospitals for faster critical findings.
✦ Qure.ai - Introduced updated AI tools for chest X-ray and CT analysis in late 2025, targeting tuberculosis and lung disease screening in Asia-Pacific with cloud deployment and high accuracy.

AI in Medical Imaging Market Regional Insights

North America dominates the AI in Medical Imaging market with 42.6% revenue share in 2024, supported by advanced radiology infrastructure, high adoption of AI for diagnostic accuracy in CT, MRI, and X-ray, strong reimbursement for AI-enhanced imaging, significant R&D investment by leading players, and widespread use in hospitals and specialty clinics.

Asia-Pacific is the fastest-growing region at 22.4% share and highest CAGR, fueled by rapid healthcare digitization in China, India, and Japan, increasing radiology workload, government initiatives for AI in medicine, expanding hospital networks, and aggressive deployment of cloud-based AI solutions for X-ray, ultrasound, and mammography.

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