AI in Medical Imaging Market to Soar to US$11.25Bn by 2033 at 24.6% CAGR as GE, Philips & Siemens Lead Global AI-Driven Diagnostic Transformation

Leander, Texas and Paris, France - Dec 11, 2025
According to DataM Intelligence,The global AI in medical imaging market was valued at US$ 1.29 Billion in 2023. The market size 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 the forecast period 2025-2033. This robust growth is propelled by rising demand for early and accurate disease detection amid chronic conditions like cancer and stroke, increasing radiologist shortages driving automation needs, growing adoption of deep learning for faster scans and enhanced resolution, surging investments in digital health infrastructure, product launches and approvals in AI-enhanced CT and MRI systems, technological advancements in multimodal AI integrating imaging with biomarkers, and research on foundation models to improve diagnostic precision and reduce healthcare costs.

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Report Details:
• No. of Pages: 180
• Forecast Period: 2025-2033
• Market Size (Base Year 2023): $1.29 Billion
• Market Size (Forecast Year 2033): $11.25 Billion
• Compound Annual Growth Rate: 24.6%
• Regions Covered: Global

United States Recent Developments:
✅ GE HealthCare unveiled the Sonic DL MRI system with NVIDIA partnership for autonomous X-ray and ultrasound, reducing scan times by 50% in clinical trials and aligning with FDA approvals for AI-driven diagnostics.
✅ Viz.ai received FDA clearance for its CT-based tool detecting subdural hemorrhages, certified for US emergency departments and reporting 35% adoption in stroke triage applications.
✅ Milvue's TechCare Trauma received FDA clearance for AI-powered musculoskeletal analysis, focusing on trauma centers and supported by NIH grants for imaging efficacy studies.

Europe Recent Developments:
✅ Royal Philips unveiled the AI-enabled CT 5300 system at AOCR 2025, compliant with EU MDR standards and integrated into radiology protocols for enhanced cardiovascular imaging.
✅ Subtle Medical rolled out AI-driven MRI enhancements for faster scans and ultra-low-dose imaging in Germany and the UK, driven by CE approvals and achieving 28% growth in oncology applications.
✅ Siemens Healthineers enhanced its AI-Rad Companion with deep learning for chest CT across France and Italy, aligning with EU GDPR directives and partnerships with regional hospitals for workflow optimization.

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Competitive Landscape
Competition is centered on deep learning integrations, cloud-based platforms, multimodal analytics, and partnerships with radiology centers across developed and emerging markets:
1. GE HealthCare dominates the market with 25.5% global market share, supported by an extensive AI-MRI and ultrasound portfolio and proven reliability in diagnostic care.
2. Koninklijke Philips NV holds 21.2% share, driven by advanced CT 5300 systems and global imaging distribution channels.
3. Siemens Healthineers AG captures 18.4% share, known for precision-engineered AI-Rad Companion and expansion across North America and Europe.
4. FUJIFILM Corporation maintains 15.1% share, focused on next-gen mammography AI with workflow innovations.
5. Canon Medical Systems GmbH secures 12.8% share, excelling in ultrasound enhancements with strong adoption in Europe.
6. Aidoc holds 10.5% share, driven by its flagship stroke detection technology and presence in emergency centers across EMEA.
7. Blackford Analysis accounts for 9.0% share, specializing in cloud platforms and cost-efficient integrations.
8. Qure.ai represents 7.5% share, advancing penetration across Asian markets with durable chest X-ray systems.

✦ Emerging / Upcoming Players - Fastest Growth Segment
New contenders are gaining traction through foundation model AI, edge computing for real-time analysis, and hybrid biomarker tools:
9. NVIDIA Corporation (U.S.) - Emerging share: 3.4%, expanding through GPU-accelerated imaging developed for autonomous diagnostics in emerging markets.
10. SARC MedIQ (U.S.) - Emerging share: 3.0%, seeing strong adoption in North America with musculoskeletal AI.
11. Subtle Medical (U.S.) - Emerging share: 2.6%, developing low-dose MRI analytics for oncology.
12. Viz.ai (U.S.) - Emerging share: 2.3%, supplying next-gen hemorrhage detection to facilities across APAC.

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Segmentation Analysis
By Modality
• X-ray Imaging represents the largest segment with 26.8% revenue share in 2024, projected to grow at 25.0% CAGR, valued for widespread accessibility, AI integrations like ChestView, versatility in chest and trauma applications, effective performance in rapid triage, and widespread adoption in hospitals requiring quick diagnostics across global facilities. MRI shows steady growth with 20% revenue share in 2024, expected to grow at 24.2% CAGR, preferred for enhanced resolution efficiency, cost-effective deep learning, and uses in neurology with low-noise profiles.

By Deployment Mode
• Cloud-Based Solutions commands the largest share with 55% revenue share in 2024, growing at 24.8% CAGR, driven by scalability incidence, urbanization in tele-radiology, growing demand for remote access, essential need for data sharing, and rising awareness across specialized imaging units and cloud providers. On-Premise shows robust growth with 25% revenue share in 2024, expanding at 24.0% CAGR, valued for data security applications and on-site scalability.

By Component
• Software leads the market with 60% revenue share in 2024, growing at 24.9% CAGR, driven by advanced algorithm facilities, urbanization in AI platforms, growing R&D for deep learning innovations, essential role in image analysis, and rising subscription coverage across public and private sectors.
Hardware shows accelerated growth with 20% revenue share in 2024, expected to grow at 24.1% CAGR, preferred for GPU integrations and cost efficiencies.

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Regional Analysis:
» North America holds the largest market share with 42.6% revenue share in 2024, driven by high chronic disease prevalence, advanced infrastructure adoption, stringent FDA regulations, and substantial R&D investments across the United States and Canada.

» Asia-Pacific emerges as the fastest-growing region, projected to expand at 25.2% CAGR through 2033, fueled by rising imaging volumes, increasing digital health investments in China and India, massive healthcare expansions, growing awareness programs, and affordable AI access across Southeast Asian countries.

Market Trends & Drivers
The AI in Medical Imaging Market is experiencing robust growth driven by diagnostic surges, automation priorities, algorithm innovation advancements, and regulatory adaptations for FDA clearance. Key trends include the development of deep learning for cancer detection and stroke triage, growth of multimodal AI combining CT/MRI with biomarkers, advancement in low-dose imaging for pediatrics, expansion of edge AI for real-time workflows, and increasing focus on data privacy under HIPAA/GDPR for secure sharing. The epidemiological evolution, technological innovation, and efficiency requirements are significantly contributing to market growth.

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This release was published on openPR.