Butterfly Network currently boasts the world’s largest installed base of point-of-care ultrasound (POCUS) devices, with its technology being utilised globally, including in underserved rural regions. With two-thirds of the world lacking access to medical imaging, Butterfly Network is actively working to address this gap through collaborations with governments and humanitarian organisations. For example, medics in Ukraine are already benefiting from Butterfly’s POCUS devices.

A testament to its widespread adoption, 80% of medical schools now train students using Butterfly’s POCUS technology. This positions the company for future growth as these students transition into medical practice. Recently, Butterfly Network introduced an artificial intelligence (AI)-powered update, enabling automatic extraction of key details from physician dictation to streamline clinical documentation and alleviate administrative burden on healthcare professionals.

Despite launching the newest iQ3 device, Butterfly’s second-generation POCUS, the iQ+, remains available as the most affordable POCUS solution worldwide. Maintaining lower prices for previous-generation products supports broader access to imaging technology.

In addition to its own advancements, third-party developers are creating AI) applications compatible with Butterfly POCUS, with the first FDA-approved app released last quarter. AI tools can guide users through specific ultrasound procedures including echocardiograms, expanding the potential user base of the devices.

Looking ahead, Butterfly Network is developing home-care ultrasound tools that could shorten patient wait times for scans. The company is also aiming to diversify into fields such as robotics and neuromodulation, with existing partnerships in the brain-chip sector signaling further innovation in POCUS technology for the future.

GlobalData Strategic Intelligence

US Tariffs are shifting - will you react or anticipate?

Don’t let policy changes catch you off guard. Stay proactive with real-time data and expert analysis.

By GlobalData