Computer Vision in Healthcare refers to AI technologies that enable machines to interpret visual data from medical sources, such as images and videos, to assist in diagnostics, surgeries, and patient care. Key factors include advancements in AI algorithms, rising chronic disease prevalence, government funding for digital health, and increasing demand for automated diagnostic tools. The market is projected to grow from USD 3.5 billion in 2025 to USD 60 billion by 2035. The CAGR is expected to be 35% from 2026 to 2035. North America will contribute notably, holding approximately 37% share due to advanced infrastructure and high AI adoption. Major players include NVIDIA Corporation, Intel Corporation, Microsoft Corporation, IBM Corporation, and Google LLC. The report provides in-depth analysis of market size, trends, segments, key players, regional insights, and forecasts from 2026 to 2035. Stages include data acquisition through imaging devices, algorithm development and training, integration into healthcare systems, deployment in clinical settings, and ongoing maintenance and updates. Trends are shifting toward real-time AI integration and personalized diagnostics, with consumers preferring solutions that enhance accuracy, reduce costs, and ensure data privacy. Regulatory factors include FDA approvals for AI devices and data protection laws like GDPR, while environmental factors involve sustainable computing practices to minimize energy consumption in AI processing.Frequently Asked Questions