AI in Wound Care Market

AI in Wound Care Market: Industry Trends and Global Forecasts, Till 2035: Distribution by Type of Wound (Acute Wound and Chronic Wound), Type of Acute Wound (Burns, Surgical Site Infections and Other Acute Wounds), Type of Chronic Wound (Diabetic Ulcers, Pressure Ulcers, Venous Ulcers and Other Chronic Wounds), Type of AI Technology (Deep Learning, Machine Learning and Other Technologies), End User (Clinical Trial and Research Centers, Home Health Agencies, Hospitals, Nursing Facilities and Others) and Key Geographical Regions (North America, Europe, Asia-Pacific, Latin America and Middle East and North Africa)

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Global AI In Wound Care Market Size

The AI in wound care market is estimated to be USD 0.6 billion in 2024 and is projected to reach USD 16.4 billion in 2035. The market is anticipated to grow at a CAGR of 35%, during the forecast period 2024-2035.

AI In Wound Care Market By Geography, 2024-2035 (USD Billion)

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AI in wound care refers to the implementation of artificial intelligence solutions in the wound care domain that enable computers and machines to simulate problem-solving capabilities along with human intelligence in order to expedite the diagnosis, assessment, monitoring, and the treatment of wounds. According to a recent study, over 10 million people suffer from various chronic and non-healing wounds in the US alone; this accounts for 2.5% of the entire population of the US. In addition, the estimates suggest that by 2060, the elderly population in the United States is expected to exceed 77 million and this projected demographic shift implies that chronic wounds will continue to be a persistent problem within this population. Furter, it is worth highlighting that the US Medicare beneficiaries spend close to $ 95 billion annually for the treatment of chronic wounds, including surgical wounds and diabetic ulcers due to the upsurge of chronic wounds. Moreover, over the past decade, the growing financial burden of wound care management on Medicare (US government health insurance program) has had a significant impact on the overall healthcare sector (resulted in reduced funding for healthcare providers and services), as the growing financial burden may culminate in limited access to care, longer wait times, and potentially lower quality of care.

Presently, in realm of the wound care management / treatment there are still several unmet needs, such as faster healing, improving scar appearances, and accurate diagnosis / evaluation of wounds, that have further contributed to the financial burden on the wound care industry. This increasing financial burden and complexity involved in the treatment / management of chronic wounds has necessitated the need for advanced wound care solutions to enhance the management / treatment options for wounds.

Artificial intelligence in wound care actively explores avenues that enable them to overcome the existing challenges of conventional treatment approaches. Amongst other AI technologies, machine and deep learning technologies have emerged as lucrative options for artificial intelligence in wound care. Moreover, the experts believe that integration of wound care with AI technology has significant revenue generation potential, due to the rising incidence of chronic diseases, ability of artificial intelligence to enhance the expertise in digital wound care, and development of advanced technologies. Such developments and advancements, further supported by the increasing investment activity in this domain and are likely to drive the AI in wound care market in the near future.

AI In Wound Care Market Share Insights

The market research report presents an in-depth analysis of the various AI-powered wound care solutions and solution providers in the global artificial intelligence in wound care market, across different segments, as defined in the table below:

AI in Wound Care Market: Report Attribute / Market Segmentations

Key Report Attributes Details
Historical Trend 2019-2023
Base Year 2023
Forecast Period 2024-2035
Market Size 2035 $ 16.4 Billion
CAGR 35%
Type of Wound
  • Acute Wounds
  • Chronic Wounds
Type of Acute Wound
  • Burns
  • Surgical Site Infections
  • Other Acute Wounds
Type of Chronic Wound
  • Diabetic Ulcers
  • Pressure Ulcers
  • Venous Ulcers
  • Other Chronic Wounds
Type of Technology
  • Deep Learning
  • Machine Learning
  • Other Technologies
Type of End User
  • Clinical Trials and Research Centers
  • Home Health Agencies
  • Hospitals
  • Nursing Facilities
  • Others
Key Geographical Regions
  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and North Africa
Key AI in Wound Care 
Companies Profiled
  • eKare
  • Healthy.io
  • Kronikare
  • Intellicure
  • Perceptive Solutions 
  • Spectral AI
  • Swift Medical
  • The Wound Pros
  • Tissue Analytics
  • Wound Vision
(Full list of 30+ companies captured is available in the report)
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Excel Data Packs
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  • Market Landscape 
  • Partnerships and Collaborations
  • Funding and Investments 
  • Market Forecast and Opportunity Analysis 


One of the key objectives of this market report was to estimate the current market size, opportunity and the future growth potential of the global artificial intelligence in wound care market, over the forecast period. We have provided informed estimates on the likely evolution of the market for the forecast period.

The AI in wound care market analysis also features the likely distribution of the current and forecasted opportunity within the market across various segments, such as type of wound (Acute Wound and Chronic Wound), type of acute wound (Burns, Surgical Site Infections and Other Acute Wounds), type of chronic wound (Diabetic Ulcers, Pressure Ulcers, Venous Ulcers and Other Chronic Wounds), type of AI technology (Deep Learning, Machine Learning and Other Technologies), type of end user (Clinical Trials and Research Centers, Home Health Agencies, Hospitals, Nursing Facilities and Others) and key geographical regions (North America, Europe, Asia-Pacific, Latin America and Middle East and North Africa). In order to account for future uncertainties associated with some of the key parameters and to add robustness to our model, we have provided three market forecast scenarios, namely conservative, base, and optimistic scenarios, representing different tracks of the industry’s evolution. 

Further, all actual figures have been sourced and analyzed from publicly available information forums and primary research discussions. Financial figures mentioned in this market report are in USD, unless otherwise specified.

AI in Wound Care Market Segmentation Overview

Market Share by Type of Wound

This market report highlights the segmentation of global AI in wound care market, based on the type of wound into acute wound and chronic wound. Currently, the chronic wounds segment captures maximum share (70%) of the overall market and is likely to dominate the market in the future as well. This can be primarily attributed to the fact that prevalence of chronic wounds is much higher than acute wounds, therefore the market for chronic wounds is expected to witness substantial growth in the coming years.

Market Share by Type of Acute Wound

The global AI in wound care market is categorized into burns, surgical site infection and other acute wounds, based on the type of acute wound. Currently, the market is driven by AI-powered solutions used for the treatment of surgical site infection. Further, it is worth highlighting that AI in acute wound care market for burns is likely to grow at a higher CAGR (35%) in the coming years as compared to other types of acute wounds considered in the AI in wound care market.

Market Share by Type of Chronic Wound

The global AI in wound care market for chronic wounds is segmented into diabetic ulcer, pressure ulcer, venous ulcer and other chronic wounds. The chronic wound market for venous ulcers dominates the market in 2024 and this trend is likely to remain same in the future as well. This can be attributed to the increase in ageing population and lifestyle changes, such as obesity and sedentary habits.

Market Share by Type of AI Technology

The global AI in wound care market highlights the market segmentation based on the type of technology, including deep learning, machine learning and other technologies. Currently, the machine learning segment captures maximum share (48%) of the overall market and is likely to dominate the market in the future as well.

Market Share by Type of End User

The global AI in wound care market is segmented into different end users, such as clinical trials and research centers, home healthcare agencies, hospitals, nursing facilities and others. Currently, home health agencies hold the maximum share (29%) in the market, and this is attributed to the fact that home health agencies provide convenience, accessibility and personalized care for individuals who may have difficulty in accessing regular healthcare services.

Market Share by Key Geographical Regions

This segment highlights the distribution of artificial intelligence in wound care market across various geographies, such as North America, Europe, Asia-Pacific, Latin America and Middle East and North Africa. According to our projections, North America is likely to capture the majority (67%) of the current AI in wound care market share, and this trend is unlikely to change in the future. It is worth highlighting that the market in Middle East and North Africa is expected to grow at a relatively high CAGR (42%), during the period 2024-2035.

AI In Wound Care Market Key Insights

The “AI in Wound Care Market: Industry Trends and Global Forecasts, till 2035 - Distribution by Distribution by Type of Wound (Acute Wound and Chronic Wound), Type of Acute Wound  (Burns, Surgical Site Infections and Other Acute Wounds), Type of Chronic Wound (Diabetic Ulcers, Pressure Ulcers, Venous Ulcers and Other Chronic Wounds), Type of AI Technology (Deep Learning, Machine Learning and Other Technologies), Type of End User (Clinical and Research Centers, Home Health Agencies, Hospitals, Nursing Facilities and Others) and Key Geographical Regions (North America, Europe, Asia-Pacific, Latin America and Middle East and North Africa)” market report features an extensive study of the current market landscape, market size and future opportunities within the AI in wound care industry, during the given forecast period. The market report highlights the efforts of several stakeholders engaged in this rapidly emerging market segmentation of the pharmaceutical industry. Key takeaways of the global AI in wound care market report have been briefly discussed below.

Benefits and Growing Demand of AI in Wound Care 

AI has the potential to revolutionize wound care by improving diagnosis, treatment, and monitoring, leading to better patient outcomes and reduced healthcare costs. Artificial intelligence in wound management has emerged as a promising alternative over conventional treatment approaches owing to its numerous benefits, including expedited evaluation timelines, early diagnosis, and diverse treatment options. Al algorithms can analyze large amounts of data quickly, resulting in faster and more precise diagnoses, treatment and better wound management plans in the digital wound care market. It is worth mentioning that Al-powered wound care solution providers offer significant benefits by aiding healthcare professionals in accurately assessing wound characteristics, such as size, depth, and healing progress as well as detecting infections. Additionally, Al-powered wound care systems can provide personalized recommendations for wound care management, improving patient outcomes. With the increasing focus on healthcare innovation, the demand for Al in wound care is expected to continue to rise.

Competitive Landscape of AI in Wound Care

The current market landscape features over 30 large, mid-sized and small companies, which claim to have the required expertise to offer various technologies and services related to artificial intelligence in wound care, across different application areas. Majority (96%) of the Al-powered wound care solution providers offer solutions incorporated with machine learning technology followed by deep learning (32%). In addition, over 85% of the players claim to offer AI-powered solutions that help in prognosis / treatment of wounds.

AI in Wound Care Market Trend Analysis: Increasing Partnerships and Collaborations to Foster Progress and Innovation 

In recent years, several partnerships have been inked by industry stakeholders, in order to consolidate their presence in this field. It is worth highlighting that 25% of deals were forged in the last two years. Interestingly, most of the inked deals were instances of technology utilization agreements (46%), followed by technology integration agreements (34%). In March 2024, Healthy.io entered into an agreement with Johns Hopkins Hospital to integrate a wound care technology based on smartphones in order to improve the management of chronic wounds. 

Market Size: Chronic Wound Market Segment to Hold the Largest Share of the Market

The global AI in wound care market size is estimated to be worth $ 0.36 billion in 2024. Further, the piqued interest of stakeholders in artificial intelligence and the demand for advanced technologies is likely to drive growth of this market. Specifically, in terms of type of wound, the market is anticipated to be driven by chronic wounds. 

Regional Analysis: North America Emerged as the Hub of AI in Wound Care

Majority of the AI-powered solution providers are headquartered in North America and Asia-Pacific. Notably, the global AI in wound care market in 2035 is anticipated to be dominated by players based in North America, while 18% share is anticipated to be captured by players based in Asia-Pacific attributing to the fact that various stakeholders in this region are evolving with the implementation of AI in their offerings.

Key Players in the AI in Wound Care Market

Examples of key players engaged in AI in wound care industry (which have also been profiled in this market report; the complete list of companies is available in the full report) include eKare, Healthy.io, Kronikare, Intellicure, Perceptive Solutions, Spectral AI, Swift Medical, The Wound Pros, Tissue Analytics and Wound Vision. This market report includes an easily searchable excel database of all the companies offering AI in wound care solutions.

AI In Wound Care Market Report Coverage

The market report presents an in-depth analysis, highlighting the capabilities of various stakeholders in this industry, across different geographies. Amongst other elements, the market report includes:

  • A preface providing an introduction to the full report, AI in Wound Care Market, till 2035.
  • An outline of the systematic research methodology adopted to conduct the study on global AI in wound care market, providing insights on the various assumptions, methodologies, and quality control measures employed to ensure accuracy and reliability of our findings.
  • An overview of economic factors that impact the overall AI in wound care industry, including historical trends, currency fluctuation, foreign exchange impact, recession, and inflation measurement.
  • An executive summary of the key insights captured during our research, offering a high-level view of the current state of the AI in wound care market and its likely evolution in the short to mid and long term.
  • A general overview of AI in the wound care market, highlighting the types of wounds, types of artificial intelligence, types of AI wound care solutions, need for AI in wound care solutions, advantages, disadvantages and applications of AI in wound care domain. Further, the chapter discusses the recent developments in wound care domain. In addition, the chapter also provides a brief discussion on the likely future trends and the potential of this industry.
  • A detailed assessment of market landscape of players offering solutions for AI in wound care, based on several relevant parameters, including 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).
  • Elaborate profiles of prominent players engaged in offering AI in wound care solutions, featuring information on their year of establishment, location of headquarters, company size (in terms of number of employees), key executive, financial information (if available), AI in wound care solutions portfolio, recent developments, and an informed future outlook. 
  • 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, such as 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. 
  • A detailed analysis of the funding and investments made by the AI-powered solution developers, during the period 2019-2024, including 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.
  • An in-depth analysis of the factors that can impact AI in wound care market growth. It also features identification and analysis of key drivers, potential restraints, emerging opportunities, and existing challenges.
  • A detailed AI in wound care market forecast analysis in order to estimate the existing market size and future opportunity in the market, till the year 2035. Based on multiple parameters, such as likely adoption trends and thorough primary validations, we have provided an informed 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 wound care industry.  Further, in order to account for future uncertainties and to add robustness to our model, we have provided three forecast scenarios, namely conservative, base, and optimistic scenarios, representing different tracks of the industry’s growth.
  • Detailed projections of the current and future AI in wound care market across type of wound, such as acute wounds and chronic wounds.
  • Detailed 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 type 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. 

Recent Developments In AI In Wound Care Market

Several recent developments have taken place in the field of AI in wound care, some of which have been outlined below. These developments, even if they took place post the release of our market report, substantiate the overall AI in wound care market trends that we have outlined in our analysis.

  • In March 2024, Swift Medical entered into agreement with DIGITAL in order to revolutionize the wound care domain with the implementation of AI technologies, through an investment of USD 9 million. 
  • In March 2024, Spectral AI procured a sum of USD 149 million of non-dilutive financing from the US government for the development of DeepView wound imaging system.
  • In March 2024, Spectral AI secured capital investment worth USD 17.5 million from the Equity Group to support their strategic imperatives and research and development activities for diabetic foot ulcer and burns.
  • In March 2024, Spectral AI received an investment of USD 1 million through debt financing in order to advance the AI-driven solutions in healthcare.
  • In January 2024, DoctorNow entered into a collaboration with Venture Medical to streamline their electronic health records (EHR) processes and further enhance the efficiency of their supply chain for advanced wound care products.
  • In January 2024, Swift Medical raised USD 8 million through venture round. The company aimed to use the funding amount to revolutionize its AI in wound care technology.

Author(s): Parneet Kaur and Aanchal Chaudhary 

Frequently Asked Questions

Question 1: What is digital wound care?

Answer: Digital wound care refers to the use of technology, such as mobile apps or digital platforms to enhance and streamline the management of wounds.

Question 2: How is AI used in wound care?

Answer: Al is used in wound care through computer vision technology, where Al algorithms analyze images of wounds to provide accurate measurements, track healing progress, and identify signs of infection.

Question 3: What is the CAGR of AI in wound care market?

Answer: The global AI in wound care market is expected to grow at a CAGR of 35% from 2024 to 2035.

Question 4: Which geographical segment is likely to capture majority share in the AI in wound care market, by 2035?

Answer: North America is likely to hold close to 65% of the market share in the next decade.

Question 5: What are the new technologies in wound care?

Answer: Various advanced technologies are being used in wound care such as negative pressure wound therapy (which utilizes a vacuum to help heal wounds faster) and bioactive dressings (capability to release substances promoting wound healing). In addition, AI based solutions have also made a foray in the wound care market.

Question 6: What are the benefits offered by AI in wound care domain?

Answer: Various advanced technologies are being used in wound care and are extremely useful in wound care, such as enhanced diagnostic accuracy, treatment effectiveness, improved precision and better patient outcomes.

Question 7: How is artificial intelligence used in wound care education?

Answer: Proper wound care education is crucial for healthcare providers to proficiently handle wounds and facilitate their healing. AI has the potential to improve wound care education by offering real-time feedback and personalized learning experiences.

Question 8: Can AI diagnose wounds?

Answer: AI has the potential to significantly enhance the diagnostic capabilities in wound care by analyzing images of wounds, determining the type, severity, and characteristics of wounds.

Question 9: Who are the leading wound care companies offering AI based solutions?

Answer: Examples of key companies engaged in AI in wound care industry (which have also been profiled in this market report; the complete list of companies is available in the full report) include eKare, Healthy.io, Kronikare, Intellicure, Perceptive Solutions, Spectral AI, Swift Medical, The Wound Pros, Tissue Analytics and Wound Vision.

Question 10: What are the investment and funding trends in the AI in wound care market?

Answer: During the period 2019 - 2024, close to USD 300 million has been invested in companies engaged in the development of AI in wound care solutions.

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