AI in Medical Imaging Market Poised for Rapid Expansion to US$ 11.25 Billion by 2033, Led by North America's 40.42% Regional Share | Key Players - Siemens Healthineers, GE Healthcare, Philips

Leander Texas -
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.

Download your executive sample report today: (corporate email gets priority access): https://www.datamintelligence.com/download-sample/ai-in-medical-imaging-market?prtk

Market Drivers:-

• Rising Hospital Investment in AI Diagnostics: US hospitals and imaging centers are increasingly deploying AI‐enabled MRI, CT, and X‐ray systems to support higher patient volumes, reduce interpretation times, and enhance diagnostic confidence. This adoption is being reinforced by robust private investment and strategic partnerships between healthcare and tech firms to develop next‐generation imaging algorithms.

• Growing Chronic Disease Burden: Elevated rates of chronic conditions such as cancer, cardiovascular disease, and neurological disorders in the US are creating greater demand for precise and early detection tools. AI solutions streamline workflow and help radiologists manage large imaging data volumes efficiently, driving adoption in both hospital and outpatient settings.

• Shortage of Radiology Professionals: The limited availability of radiologists relative to imaging demand is pushing healthcare providers to adopt AI‐assisted interpretation systems. AI helps automate routine image analysis tasks, freeing up human specialists for complex cases and improving department throughput.

• Supportive Regulatory and Funding Environment: US regulatory bodies and reimbursement frameworks (including CMS funding for AI‐based screening tools) are encouraging healthcare facilities to integrate AI imaging into clinical services, which boosts market growth.

• Healthcare Digital Transformation: Integration of AI imaging with electronic health records (EHR), cloud platforms, and predictive analytics is helping health systems optimize workflows and clinical decision support, contributing to broader AI imaging uptake.

• Population Aging and Healthcare Demand: Japan's rapidly aging population and high prevalence of age‐related diseases are major drivers for AI medical imaging adoption, as healthcare providers seek tools to improve diagnostic accuracy and manage increased imaging workload more efficiently.

• Government Support for Digital Health: Japanese government policies and regulatory initiatives are accelerating certification and adoption of AI diagnostic devices in imaging (especially for cardiovascular and neuroimaging), helping create a conducive environment for market expansion.

• Innovations by Local Industry Leaders: Japanese imaging solution providers are integrating advanced AI algorithms into their platforms, enabling early disease detection (e.g., cancer) and faster image processing, which is enhancing clinician trust and uptake in clinical settings.

• Technological Advancements in Imaging Platforms: Continuous improvements in AI‐driven image segmentation, pattern recognition, and workflow automation are helping Japanese institutions adopt AI imaging tools that improve diagnostics quality and efficiency.

• Collaboration Between Tech and Healthcare: Partnerships between technology firms and medical institutions in Japan are promoting clinical trials, R&D, and integration of AI imaging modules across hospitals and diagnostic labs, supporting broader implementation.

Key Industry Development

United States

✅ November 2025: A significant consolidation move as GE HealthCare agreed to acquire Intelerad a leading medical imaging software provider to expand AI algorithm integration and cloud‐based imaging workflows across outpatient and hospital settings.

✅ October 2025: GE Healthcare committed a major investment of US $30 million to scale AI‐driven ultrasound development geared toward real‐time image interpretation and point‐of‐care diagnostics, reinforcing its leadership in the U.S. imaging AI market.

✅ September 2025: Aidoc's next‐generation multi‐triage AI model for CT imaging earned FDA Breakthrough Device Designation, speeding regulatory review and spotlighting advanced emergency diagnostic workflows.

✅ September 2025: Tempus AI received fresh FDA clearance for its augmented cardiac‐imaging platform Tempus Pixel, enhancing cardiac MRI data mapping with AI‐derived quantitative tissue characterization.

✅ August 2025: The Virginia Catalyst Program awarded an $800,000 grant to RIVANNA® to advance its Accuro® 3S ultrasound diagnostic system with AI enhancements, reflecting rising federal and research funding for next‐gen imaging platforms.

Japan / Asia Pacific

✅ November 2025: Hospitals across Japan accelerated the adoption of AI‐powered diagnostic imaging solutions covering radiology, endoscopy, and pathology, aiming to cut interpretation time and improve clinical accuracy nationwide.

✅ November 2025: Samsung unveiled its R20 ultrasound system with next‐gen AI tools, delivering enhanced image clarity and operational efficiency in general imaging one of the most advanced AI‐enabled ultrasound products launched in late 2025.

✅ October 2025: Japanese innovators introduced Curia, a large multi‐modal foundation model trained on extensive imaging datasets, improving automated detection and staging functions across organ systems for clinicians.

✅ September 2025: Japan saw new agentic AI medical systems like TissueLab emerge, enabling clinicians to interact with medical imaging data through conversational prompts while dynamically refining analyses, signaling novel AI engagement models.

✅ August 2025: Japanese tech players such as Fujitsu teamed up with NVIDIA to launch a secure AI‐agent orchestration platform for healthcare imaging, enabling scalable deployment across hospital systems.

Strategic Mergers and Acquisitions

2025 - November - GE HealthCare to Acquire Intelerad
In November 2025, GE HealthCare announced a definitive agreement to acquire Intelerad, a Montreal‐based medical imaging software provider, for US$ 2.3 billion in cash, as part of its strategic expansion into outpatient imaging markets. The acquisition positions GE HealthCare to broaden its AI‐enabled imaging portfolio by integrating Intelerad's cloud‐based enterprise imaging solutions, enhancing the company's ability to deliver comprehensive imaging workflows across both inpatient and ambulatory care settings. The transaction is expected to close in the first half of 2026, pending regulatory approvals, and is viewed as a key step to increase recurring revenue and strengthen AI integration in imaging software suites.

2025 - November - Radiology Partners Acquires Healthcare AI Firm
In mid‐November 2025, Radiology Partners, one of the largest radiology practice management organizations in the United States, completed the acquisition of a healthcare artificial intelligence company for US$ 80 million. This strategic acquisition aims to deepen Radiology Partners' AI and imaging analytics capabilities by bringing advanced machine learning tools in‐house to support anomaly detection, workflow automation, and diagnostic prioritization across its network of hospital and health system partners, reflecting growing clinician demand for AI‐augmented imaging solutions.

2025 - July - MedVision AI Acquires Radiometrics Cloud
In July 2025, MedVision AI announced the acquisition of Radiometrics Cloud, a provider of real‐time imaging analytics and workflow orchestration technology, to strengthen its offerings in AI‐driven imaging operations. This verified transaction expands MedVision's capabilities in multimodal AI model deployment and enhances its portfolio's ability to support scalable hospital‐wide radiology applications, positioning the company for broader adoption in clinical environments where efficiency and integrated AI solutions are key value drivers.

Major Players:-

GE HealthCare | FUJIFILM Corporation | Koninklijke Philips NV | Aidoc | Blackford Analysis | Siemens Healthineers AG | Canon Medical Systems GmbH | Qure.ai | NVIDIA Corporation | SARC MedIQ

1. GE HealthCare - GE Healthcare holds around 17% share of the global AI medical imaging market, making it one of the largest players. Its Edison AI platform integrates AI across CT, MRI, X‐ray and ultrasound, enhancing workflow efficiency, diagnostics, and radiologist support, backed by deep AI ecosystem partnerships.

2. Siemens Healthineers - Siemens Healthineers commands approximately 16% market share. Its AI‐Rad Companion suite automates image analysis across multiple body regions, improving precision and clinical workflows. Strong R&D, broad modality support, and strategic collaborations underpin its leadership in AI‐enabled diagnostic solutions.

3. Koninklijke Philips NV - Philips holds about 13% share, driven by its IntelliSpace AI platform, which integrates AI with ultrasound, MRI and CT imaging, enhancing clinical decision support and workflow management. Its focus on connected care and digital health positioning fuels adoption in hospitals globally.

4. Aidoc - Aidoc is a prominent AI radiology software provider with broad clinical adoption, though its precise market share is smaller (5%) compared with larger OEMs. Its strength lies in real‐time diagnostic prioritization and decision support across specialties, improving turnaround times and radiologist efficiency in urgent care environments.

5. Qure.ai - Qure.ai, a fast‐growing AI imaging startup, has seen rapid revenue growth with increasing market penetration though specific global share estimates are modest. Its AI tools focus on early detection of critical conditions such as TB, lung cancer and stroke, supporting millions of patients and expanding in emerging markets.

"Secure your 30% discount - get this report before the offer expires."
: https://www.datamintelligence.com/buy-now-page?report=ai-in-medical-imaging-market?prtk (Purchase 2 or more Repots and get 50% Discount)

Market Segmenatation-

Modality Segmentation : In the AI in medical imaging market, modality segmentation categorizes the market into CT, MRI, X‐ray, Ultrasound, and Nuclear/other imaging types, with CT scans holding the largest share (around 37.5%) of the overall AI imaging adoption due to their extensive use in oncology, cardiology, and trauma diagnostics in both the U.S. and Japan. MRI typically follows as a significant subsegment, with AI enhancements improving image quality and reconstruction. X‐ray and ultrasound also form important portions of the market but lag behind CT and MRI in terms of revenue share in major markets like the U.S., where high‐volume screening drives AI integration. These modality trends reflect how diagnostic priorities and clinical workflows drive AI deployment across imaging types in these two countries.

Application Segmentation : The application segmentation divides the market into clinical areas such as neurology, cardiology, oncology, and other specialties; in both the U.S. and Japan, neurology and oncology imaging are among the leading AI application segments, with neurology often capturing roughly around 40% share due to high demand for early and accurate diagnosis of neurological conditions. Cardiology and pulmonary imaging follow behind, as AI tools for these areas assist in detecting complex pathologies and enhancing workflow efficiency across advanced healthcare systems in both countries.

Technology Segmentation : Technology segmentation comprises deep learning, machine learning, NLP, hybrid AI, and explainable AI. Deep learning dominates the market with the largest share often over 55% because of its superior ability to handle complex image pattern recognition and interpretation tasks in medical imaging workflows used in U.S. and Japan settings. Machine learning and NLP contribute smaller but growing subsegments due to integration with clinical decision support and reporting systems.

Deployment Mode Segmentation : Deployment segmentation distinguishes between on‐premise and cloud/edge AI solutions; in the U.S. and Japan, on‐premise deployment holds a majority share (58%) driven by stringent data security regulations and healthcare IT infrastructure preferences in hospitals and large imaging centers, while cloud‐based solutions are increasingly adopted in mid‐sized facilities for scalability and cost‐efficiency.

Regional insights:-

North America: 40.42% (Largest share globally; the U.S. alone accounts for approximately 37.21% of the total global AI in medical imaging market, driven by strong digital healthcare adoption, intensive AI R&D investment, and supportive regulatory frameworks)

Europe: 35.39% (Second‐largest regional share, supported by extensive public healthcare investments, AI integration in clinical diagnostics, and strong adoption across major countries such as Germany, the UK, and France)

Asia Pacific: 23.87% (Third in global share, with rapid adoption across emerging healthcare ecosystems; within APAC, Japan holds about 5.84% of the global AI in medical imaging market, fueled by advanced imaging infrastructure and integration of AI in clinical workflows)

Get Customization in the report as per your requirements:https://www.datamintelligence.com/customize/ai-in-medical-imaging-market?prtk

Request for 2 Days FREE Trial Access:
https://www.datamintelligence.com/reports-subscription?pratik
✅ Competitive Landscape
✅ Technology Roadmap Analysis
✅ Sustainability Impact Analysis
✅ KOL / Stakeholder Insights
✅ Consumer Behavior & Demand Analysis
✅ Import-Export Data Monitoring
✅ Live Market & Pricing Trends

Have a look at our Subscription Dashboard:
https://www.youtube.com/watch?v=x5oEiqEqTWg

Contact Us -

Company Name: DataM Intelligence
Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
Phone: +1 877 441 4866
Website: https://www.datamintelligence.com

About DataM Intelligence
DataM Intelligence is a renowned provider of market research, delivering deep insightsthrough pricing analysis, market share breakdowns, and competitive intelligence. Thecompany specializes in strategic reports that guide businesses in high-growth sectors suchas nutraceuticals and AI-driven health innovations.
To find out more, visit https://www.datamintelligence.com/ or follow us on Twitter,LinkedIn and Facebook.

This release was published on openPR.