The global AI in Wound Care market was valued at US$597 million in 2025 and is anticipated to reach US$1,664 million by 2032, growing at a CAGR of 16.0% during the forecast period 2026-2032, according to a new report by QY Research. The study provides data-driven analysis of market size, demand outlook, competitive positioning, industry trends, and regional performance. AI in wound care uses technologies such as machine learning, deep learning, computer vision, and natural language processing to assist with wound assessment, monitoring, diagnosis support, treatment recommendations, healing prediction, documentation, and clinical workflow optimization. The market is expanding as healthcare providers seek better tools for accuracy and care standardization, addressing conditions including chronic wounds, diabetic foot ulcers, pressure injuries, venous ulcers, surgical wounds, burns, and postoperative wounds. Growth is supported by rising chronic disease burden, increasing diabetic wound cases, aging populations, growth in nursing facilities, demand for remote wound monitoring, and wider adoption of AI-enabled solutions.