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RadNet Acquires Gleamer, Making RadNet’s DeepHealth the Largest Provider of Radiology Clinical AI Solutions Worldwide
Globenewswire· 2026-03-02 10:45
Core Insights - RadNet, Inc. has acquired Gleamer SAS, a leading radiology AI company, to enhance its DeepHealth subsidiary, making it the largest provider of radiology clinical AI solutions globally [1][2]. Company Overview - RadNet is a prominent provider of outpatient diagnostic imaging services in the U.S., operating a network of imaging centers across multiple states [11]. - DeepHealth, a wholly owned subsidiary of RadNet, focuses on AI-powered health informatics to improve imaging care [12]. Acquisition Details - The acquisition is an all-cash transaction valued at up to €230 million, reflecting Gleamer's strong recurring revenue growth and high customer retention rates [7]. - Gleamer has achieved an Annual Recurring Revenue (ARR) compound annual growth rate exceeding 90% from 2022 to 2025, with expectations to reach approximately $30 million ARR in 2026 [2]. Strategic Impact - The integration of Gleamer's AI solutions is expected to enhance DeepHealth's portfolio, providing comprehensive clinical AI solutions across various imaging modalities, including MR, CT, X-ray, Mammography, and Ultrasound [4][20]. - The acquisition aims to improve operational efficiency and patient care by automating workflows and increasing the accuracy of radiological interpretations [6][4]. Market Position - With the acquisition, DeepHealth and Gleamer together anticipate achieving an ARR approaching or exceeding $140 million by the end of 2026, solidifying their leadership in the clinical radiology AI market [20]. - Gleamer serves over 700 customer contracts in 44 countries, showcasing its extensive reach and impact in the radiology AI sector [2]. Future Outlook - The deployment of Gleamer's solutions is expected to drive productivity gains, particularly in X-ray imaging, which constitutes nearly 25% of RadNet's imaging volume [6]. - The combined strengths of RadNet and Gleamer are positioned to redefine imaging delivery through intelligence and automation, enhancing access and efficiency in healthcare [5].