The U.S. edge computing in healthcare market size accounted for USD 0.82 billion in 2025 and is predicted to increase from USD 1.06 billion in 2026 to approximately USD 10.38 billion by 2035, expanding at a CAGR of 28.9% from 2026 to 2035. Home infusion therapy has augmented significantly as edge computing emerges as a significant technological foundation for next-generation medical care data management and patient-centred care.
Edge computing is transforming medical care by allowing real-time data processing closer to where it is generated, which supports enhancing patient care and operational effectiveness. The deployment of edge computing in medical care supports providers and patient results by automating tasks and improving data management for large volumes of medical care data. Moreover, edge computing in medical care improves teamwork among providers, ensuring seamless data sharing and compliance with privacy regulations. Edge computing brings data processing, analytics, and storage closer to the source of data generation. Edge computing works as a complement to the cloud, enabling IT decision-makers to choose where to best place workloads along the compute range.
The propagation of wearable technology has transformed patient data collection. Various medical devices like heart rate monitors, glucose meters, and fitness trackers generate massive amounts of data that require prompt analysis to ensure patient well-being. Edge computing enables real-time data processing directly on the tools or nearby edge servers. These tools directly alert healthcare providers to abnormal readings by analysing information locally, allowing timely interventions to prevent emergencies or complications.
By component, the software segment contributed the largest U.S. edge computing in healthcare market share of 42% in 2025, due to rising demand for real-time patient monitoring and decentralized AI analytics. Providers heavily invested in specialized data management and security platforms to process large clinical datasets locally, eliminate latency, and ensure strict compliance with federal privacy regulations like HIPAA without overwhelming centralized cloud infrastructure.
By deployment mode, the cloud‑based segment contributed the largest market share of 63%, as this type of computing in medical care allows health practitioners to gain secure access to patient records and healthcare data, as well as communication and partnership development for remote team members to stay connected with colleagues and patients.
By application, the real‑time patient monitoring segment held the dominant share of 24% in the U.S. edge computing in healthcare market, as real-time patient monitoring advantages clinicians by supporting them in enhancing clinical workflows and prioritizing care delivery, allowing them to triage every patient and case based on close to real-time patient status.
By end user, the hospitals & clinics segment contributed the largest market share of 41%, as edge computing in medical care brings data processing closer to the source, allowing real-time insights and powering enhanced patient care. Edge computing renovates healthcare with real-time data, enhancing patient care and actions.
Microsoft, this organization, allows hospitals to run AI-driven models on-premises, which is important for analysing healthcare imaging rapidly. Amazon Web Services provides AWS IoT Greengrass and Amazon Outposts to securely process Internet of Medical Things (IoMT) data locally. IBM focuses on decentralized AI processing, allowing health systems to autonomously manage workloads. NVIDIA allows for real-time medical imaging processing, AI-assisted diagnostics, and robotic surgery.
By Component
By Deployment Mode
By Application
By End User
