AI in wound care market seen reaching $2.71 billion by 2030

The Business Research Company projects rapid growth in the artificial intelligence in wound care market, with the sector rising to $1.19 billion in 2026 and $2.71 billion by 2030. The report points to diabetes, chronic wounds, remote monitoring and AI-powered clinical tools as the main forces reshaping wound treatment and documentation.

Why it matters: - AI is moving wound care toward faster diagnosis, more personalized treatment and less manual documentation. - The market’s projected growth suggests hospitals, clinics and remote care providers are likely to face rising demand for imaging tools, decision support systems and automated workflows. - The expansion is especially relevant for diabetic ulcers and other chronic wounds, where timely assessment can affect healing outcomes and costs.

What happened: - The Business Research Company released its Artificial Intelligence (AI) in Wound Care Market Report Global Market Report 2026. - The report projects the market will grow from $0.97 billion in 2025 to $1.19 billion in 2026. - The report forecasts the market will reach $2.71 billion by 2030. - The report estimates a 23.0% CAGR from 2025 to 2026 and a 22.7% CAGR from 2026 to 2030. - A free sample of the report is available. - The full report is available online.

The details: - The report says market growth is being driven by rising chronic wounds, more diabetes-related ulcers, wider use of digital wound documentation and expanded hospital-based wound care programs. - Wider availability of imaging-based assessment tools is also supporting adoption. - Expected growth drivers through 2030 include demand for personalized wound care, increased remote patient monitoring and broader use of AI-powered clinical decision support systems. - Cost-effective wound management and deeper integration with telehealth services are also listed as growth factors. - Anticipated market trends include AI-driven wound assessment, predictive healing analytics, remote wound monitoring, personalized care algorithms and more automated clinical documentation. - AI in wound care uses AI-driven technologies to support wound diagnosis, treatment and management. - These tools are designed to improve wound assessment, tailor treatment plans and provide predictive insights on healing. - The report says the goal is to improve patient care quality, streamline documentation and reduce healthcare costs tied to wound management. - One major demand driver is the rising global incidence of diabetes. - Diabetes is linked to complications including heart disease, kidney failure, nerve damage and vision impairment. - The report ties rising diabetes rates to obesity and aging populations. - In May 2024, CDC data showed 38.4 million Americans, or 11.6% of the U.S. population, had diabetes. - Among Americans age 65 and older, diabetes prevalence was 29.2%. - North America held the largest share of the AI in wound care market in 2025. - Other covered regions include Asia-Pacific, South East Asia, Western Europe, Eastern Europe, South America, the Middle East and Africa. - North America’s lead is attributed to advanced healthcare infrastructure, high AI adoption and investment in healthcare innovation. - The 2026 report edition includes market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel-based forecasting dashboards, market hotspots infographics, key technology analysis and updated graphics and tables.

Between the lines: - The report positions AI in wound care as a clinical tool and a workflow tool, not just a diagnostic add-on. - The strongest near-term demand appears to come from chronic disease management, especially diabetes-related wounds. - North America’s lead suggests the market may remain concentrated where digital health infrastructure and capital spending are already strongest.

What's next: - The report expects AI-assisted wound assessment and remote monitoring to become more common as telehealth adoption grows. - Broader use of predictive analytics and automated documentation could push the market toward faster clinical adoption and lower administrative burden. - The company is promoting expanded analytical tools in its 2026 report edition, signaling more emphasis on forecasting and competitive benchmarking.