AI in Wound Care Market: Industry Trends and Global Forecasts, Till 2035

AI in Wound Care Market: Industry Trends and Global Forecasts, Till 2035

The AI in Wound Care Market is valued at USD 0.6 billion in 2024 growing at a CAGR of 35% during the forecast period 2024-2035.

AI in wound care is an integration of artificial intelligence solutions in the wound care domain allowing technology to comprehend problem-solving capabilities and human intelligence, accelerating the diagnosis, assessment, monitoring, and the treatment of wounds. In the US, over 10 million people suffer from chronic and nonhealing wounds, taking in account of 2.5% of the entire population of US. It is estimated that by 2060, the elderly population of the United States would exceed 77 million, contributing to the increased cases of chronic wounds. The US Medicare Beneficiaries have been spending $95 million annually for the treatment of chronic wounds, specifically surgical wounds and diabetic ulcers. The growing financial burden on Medicare, which resulted in reduction of funding for healthcare providers and services, had led patients to compromise with the quality of wound care accompanied by slower healing and inappropriate diagnosis.

Despite advances in wound care, there are still unmet needs, including faster healing, improved scar appearance, and accurate diagnosis and evaluation of wounds. These challenges have contributed to the growing financial burden on the wound care industry, which has resulted in reduced funding for healthcare providers and services. This has led to concerns about limited access to care, longer wait times, and potentially lower quality of care.

To address these challenges, artificial intelligence in wound care is exploring innovative solutions to overcome the limitations of conventional treatment approaches. Machine and deep learning technologies have emerged as promising options in this field. Experts believe that integrating AI with wound care has significant revenue generation potential due to the rising incidence of chronic diseases, AI's ability to enhance digital wound care expertise, and the development of advanced technologies.

With increasing investment activity in this domain, the AI in wound care market is likely to be driven by these developments in the near future.



Key Market Segments

Type of Wound

• Acute Wound
• Chronic Wound

Type of Acute Wound

• Burns
• Surgical Site Infections
• Other Acute Wounds

Route of Chronic Wound

• Diabetic Ulcers
• Pressure Ulcers
• Venous Ulcers
• Other Chronic Wounds

Type of Technology

• Deep Learning
• Machine Learning
• Other Technologies

Type of End Users

• Clinical Trials and Research Centers
• Home Health Agencies
• Hospitals
• Other Facilities

Key Geographical Regions

• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East and North Africa

Research Coverage:

• This chapter offers a comprehensive overview of AI in the wound care market, explaining the types of wounds, types of artificial intelligence, types of AI wound care solutions along with the need for AI in wound care solutions, advantages, disadvantages and applications of AI in wound care domain. In addition, the chapter discusses the advancement in the wound care domain, also emphasizing the future trends and potential of the market.
• The chapter provides a detailed biopsy of market landscape of players offering solutions for AI in wound care, based on several relevant parameters. These parameters include type of wound (acute wound and chronic wound), type of AI technology (machine learning, deep learning and unspecified technology), purpose of solution (diagnosis and prognosis / treatment), type of AI solutions (data collection solutions (devices) and data analysis solutions (mobile applications and software)), compatible platform (android, iOS and others), application area (real-time surveillance, wound assessment and wound measurement) and end user (clinical trial and research centers, nursing facilities, home health agencies, hospitals and wound care clinics). In addition, the chapter provides a detailed list of developers engaged in offering AI in wound care solutions, along with analysis based on various parameters, such as year of establishment, company size (in terms of number of employees), location of headquarters (North America, Europe, Asia Pacific and Rest of the World).
• Comprehensive set of company profiles of prominent players involved in offering AI in wound care solutions, featuring information on establishment year, location of headquarters, size of the company (in terms of number of employees), key executive, financial information (if available), AI in wound care solutions portfolio, recent developments, and an informed outlook.
• The chapter encompasses a detailed analysis of the partnerships and collaborations inked between stakeholders engaged in the AI in wound care market, during the period 2019-2024, based on several parameters. These parameters include year of partnership, type of partnership, type of partner, technology name, application area and most active players (in terms of the number of partnerships) and geographical distribution of the partnership activity.
• The chapter provides a detailed exploration of the funding, and investments made by the AI-powered solution developers, during the period 2019-2024, which considers several factors. These factors include seed financing, venture capital financing, debt financing, grants, capital raised from IPOs and subsequent offerings, at various stages of development in companies that are engaged in this field, based on several parameters, such as year-wise trend of funding instances, type of funding, amount invested (USD million), type of wound, most active players (in terms of number of funding instances and amount raised), most active investors (in terms of number of funding instances) and regional distribution of funding.
• A brief explanation of the impactful factors in wound care market growth featuring the identification and analysis of key drivers, potential restraints, emerging opportunities, and existing challenges.
• The chapter elucidates the AI in wound care market forecast analysis, allowing the estimation of the existing market size, till the year 2035. Based on multiple parameters, such as likely adoption trends and thorough primary validations, we have provided an insightful estimate on the market evolution during the forecast period 2025-2035. The report also features the likely distribution of the current and forecasted opportunity within the AI in the wound care industry. Moreover, accounting for future uncertainties and to adding robustness to our model, three forecast scenarios have been provided, namely conservative, base, and optimistic scenarios, targeting different tracks of the industry’s growth.
• Insightful projections of the current and future AI in wound care market across types of wounds, such as acute wounds and chronic wounds.
• Comprehensive projections of the current and future artificial intelligence in wound care market across type of acute wound, such as burns, surgical site infections and other acute wounds.
• Detailed projections of the current and future AI in wound care market across types of chronic wound, such as diabetic ulcers, pressure ulcers, venous ulcers and other chronic wounds.
• Detailed projections of the current and future artificial intelligence in wound care market across type of AI technology, such as deep learning, machine learning and other technologies.
• Detailed projections of the current and future AI in wound care market across end user, such as clinical trial and research centers, home health agencies, hospitals, nursing facilities and others.
• Detailed projections of the current and future market for AI in wound care across key geographies, such as North America, Europe, Asia-Pacific, Latin America and Middle East and North Africa.

Key Benefits of Buying this Report

• The report offers market leaders and newcomers valuable insights into revenue estimations for both the overall market and its sub-segments.
• Stakeholders can utilize the report to enhance their understanding of the competitive landscape, allowing for improved business positioning and more effective go-to-market strategies.
• The report provides stakeholders with a pulse on the AI in Wound Care Market, furnishing them with essential information on significant market drivers, barriers, opportunities, and challenges.

Leading Market Companies

• eKare
• Healthy.io
• Kronikare
• Intellicure
• Perceptive Solutions
• Spectral AI
• Swift Medical
• The Wound Pros
• Tissue Analytics
• Wound Vision