Radiology AI Market

The radiology AI market is valued at USD 0.76 billion in 2025 and is projected to reach USD 2.27 billion by 2030, which is expected to grow at a CAGR of 24.5% from 2025 to 2030. The steady market growth is driven by the rising imaging volumes, need for advanced diagnostic imaging, workflow automation, and early disease detection. The increasing integration of AI into radiology systems enables clinicians to analyze large imaging datasets with higher accuracy and speed, thereby improving patient outcomes and enhancing clinical efficiency. The accelerated regulatory clearances for radiology AI tools, the growing burden of chronic diseases, the expanding use of imaging modalities, and the shortage of skilled radiologists further reinforce the demand for AI-enabled diagnostic tools.

Prominent players in the radiology AI market include Siemens Healthineers AG (Germany), Microsoft (US), Koninklijke Philips N.V. (Netherlands), GE HealthCare (US), Fujifilm Holdings Corporation (Japan), Canon Medical Systems Corporation (Japan), Merative (US), DeepHealth (RadNet, Inc.) (US), Shanghai United Imaging Healthcare Co., LTD (China),  Hologic, Inc. (US), and Enlitic, Inc. (US), among others. These companies employed various strategies, including product launches, expansions, agreements, partnerships, collaborations, and acquisitions, to enhance their market presence.

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In March 2025, GE HealthCare expanded its long-standing partnership with NVIDIA to develop AI-driven autonomous X-ray and ultrasound solutions. The collaboration focuses on reducing the workload of sonographers and radiology technologists, leveraging NVIDIA Isaac for Healthcare and synthetic data simulation.

In February 2025, Siemens Healthineers AG partnered with the European Society of Radiology (ESR) to promote sustainability in radiology at the European Congress of Radiology (ECR, Vienna). The collaboration focuses on resource-efficient imaging, AI-driven diagnostic accuracy, reduced energy consumption, and expanding access in underserved regions. Such innovations highlight the company’s dual commitment to AI adoption and environmentally responsible radiology.

GE Healthcare

GE HealthCare is one of the leading players in the global radiology AI market, leveraging its strong imaging portfolio and AI-based platforms to enhance precision diagnostics. The company’s Edison platform serves as the foundation for its AI-driven solutions, integrating machine learning algorithms into medical imaging workflows. The AIR Recon DL, a deep learning-based image reconstruction technology, significantly improves image clarity and reduces scan time across MRI systems. Similarly, its Critical Care Suite 2.0 uses AI to detect pneumothorax in chest X-rays, providing on-device analysis directly at the point of care.

GE HealthCare continues to expand its AI ecosystem through collaborations with NVIDIA, Amazon Web Services (AWS), and deep-learning startups. The company’s focus on interoperability allows radiologists to integrate AI seamlessly into existing PACS and RIS platforms, enhancing diagnostic efficiency. In 2024, GE launched Revolution Ascend CT with Effortless Workflow, combining AI-driven automation with advanced imaging capabilities. The company’s strong presence across developed and emerging markets, combined with continuous innovation and clinical validation, positions it as a frontrunner in operational AI and precision imaging.

Siemens Healthineers AG

Siemens Healthineers is one of the most prominent players in radiology AI, offering an extensive suite of AI-enabled imaging and workflow solutions under its AI-Rad Companion and syngo.via platforms. The AI-Rad Companion portfolio covers multiple body regions, including the brain, chest, prostate, and spine, helping radiologists automatically quantify and highlight clinically relevant features in imaging scans. Siemens also integrates AI into its advanced imaging systems, such as MAGNETOM Free.Max MRI and SOMATOM Definition Edge CT to improve image reconstruction, reduce scan duration, and enhance diagnostic accuracy.
In 2024, Siemens Healthineers launched AI-Pathway Companion, a decision-support system that connects imaging data with clinical, molecular, and laboratory information to enable precision oncology and personalized treatment planning. The company’s Digital Twin initiatives and collaboration with Microsoft for AI-based healthcare cloud infrastructure further enhance its position in the global market. With a strong focus on digital transformation, automation, and multi-modality integration, Siemens Healthineers continues to shape the future of radiology by bridging imaging intelligence with clinical decision-making.

Koninklijke Philips N.V.

Koninklijke Philips N.V. holds a strong and diversified position in the radiology AI market, leveraging its broad imaging portfolio and deep informatics expertise supported by over 20 FDA-cleared Radiology AI solutions in the US (2018–2022). Through its Diagnosis & Treatment segment, Philips integrates AI across CT, MR, and ultrasound systems to enhance precision diagnosis and streamline workflows. Its Philips AI Manager provides radiology departments with a cloud-based ecosystem of AI applications, enabling enhanced image analysis and workflow efficiency. Key innovations include Precise Image and Precise Position for CT, SmartSpeed for accelerated MRI, and the Advanced Visualization Workspace for integrated AI-powered diagnostics. Strategic partnerships, notably with Nvidia, aim to develop foundational AI models for MRI, improving scan speed, image quality, and operational efficiency.

MARKET RANKING

The ranking of companies in the radiology AI market has been determined based on factors such as market share, revenue from AI-enabled imaging solutions, breadth of product portfolio, innovation, brand recognition, regulatory approvals, and global presence. GE Healthcare (US) offers the Edison AI platform, integrating machine learning into CT, MRI, and X-ray workflows. Its AIR Recon DL and Critical Care Suite 2.0 enhance image reconstruction, reduce scan times, and provide on-device AI analysis, supporting diagnostic precision across hospitals worldwide. Siemens Healthineers (Germany) strengthens its market position through the AI-Rad Companion, syngo.via, and AI-Pathway Companion platforms, which combine multi-modality imaging intelligence with clinical decision support. Koninklijke Philips N.V. (Netherlands) holds a diversified portfolio of AI-powered CT, MR, and ultrasound systems. Its Philips AI Manager offers a cloud-native ecosystem for workflow optimization, while innovations like Precise Image, SmartSpeed, and the Advanced Visualization Workspace enhance imaging precision and operational efficiency. Strategic collaborations with NVIDIA further advance AI capabilities in MRI and workflow automation. Canon Medical Systems Corporation (Japan) strengthens the market with AICE-based deep learning reconstruction, AI-assisted ultrasound, and the Canon Automation Platform. Recent launches, including the AI Automation Platform and Vantage Galan 3T integration, enable zero-click diagnostic insights and end-to-end workflow automation, enhancing global imaging efficiency. Other emerging and regional players focus on niche applications, such as organ-specific AI, modality-specific AI, disease-specific imaging AI (oncology, cardiology, or neurology), specialized workflow optimization tools, or AI-enabled diagnostic platforms for smaller hospitals and outpatient centers, presenting opportunities for innovation, M&A activity, and new entrants.

Related Reports:

Radiology AI Market by Offering (On-Device, SaaS), Function (Triage, Workflow, CDSS, Acquisition, Processing, Reporting), Modality (CT, MRI, X-ray), Indication (Onco, Cardio, Neuro), End User (Hospital, Imaging Center), Region - Global Forecast to 2030

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