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AI in Wound Care Market Industry Trends and Global Forecasts to 2035: Distribution by Type of Wound, Type of Acute Wound, Type of Chronic Wound, Type of AI Technology, End User and Key Geographical Regions

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    Report

  • 181 Pages
  • September 2024
  • Region: Global
  • Roots Analysis
  • ID: 5998472
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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 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

Table of Contents

1. PREFACE
1.1 Introduction
1.2. Market Share Insights
1.3. Key Market Insights
1.4. Report Coverage
1.5. Key Questions Answered
1.6. Chapter Outlines

2. RESEARCH METHODOLOGY
2.1. Chapter Overview
2.2. Research Assumptions
2.3. Project Methodology
2.4. Forecast Methodology
2.5. Robust Quality Control
2.6. Key Market Segmentations
2.7. Key Considerations
2.7.1. Demographics
2.7.2. Economic Factors
2.7.3. Government Regulations
2.7.4. Supply Chain
2.7.5. COVID Impact
2.7.6. Market Access
2.7.7. Healthcare Policies
2.7.8. Industry Consolidation

3. ECONOMIC AND OTHER PROJECT SPECIFIC CONSIDERATIONS
3.1. Chapter Overview
3.2. Market Dynamics
3.2.1. Time Period
3.2.1.1. Historical Trends
3.2.1.2. Current and Future Estimates
3.2.2. Currency Coverage and Foreign Exchange Rates
3.2.2.1. Major Currencies Affecting the Market
3.2.2.2. Factors Affecting Currency Fluctuations and Foreign Exchange Rates
3.2.2.3. Impact of Foreign Exchange Rate Volatility on the Market
3.2.2.4. Strategies for Mitigating Foreign Exchange Risk
3.2.3. Trade Policies
3.2.3.1. Impact of Trade Barriers on the Market
3.2.3.2. Strategies for Mitigating the Risks Associated with Trade Barriers
3.2.4. Recession
3.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
3.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
3.2.5. Inflation
3.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
3.2.5.2. Potential Impact of Inflation on the Market Evolution

4. EXECUTIVE SUMMARY
4.1. Chapter Overview

5. INTRODUCTION
5.1. Chapter Overview
5.2. Artificial Intelligence in Wound Care
5.3. Types of Wounds
5.3.1. Acute Wounds
5.3.2. Chronic Wounds
5.4. Types of AI in Wound Care Solutions
5.5. Need of AI in Wound Care Solutions
5.6. Applications of AI in Wound Care
5.7. Advantages and Disadvantages of AI in Wound Care
5.8. Recent Developments in Wound Care
5.9. Future Perspectives

6. AI-POWERED WOUND CARE SOLUTION PROVIDERS: MARKET LANDSCAPE
6.1 Chapter Overview
6.2. AI-powered Wound Care Solution Providers: Overall Market Landscape
6.2.1. Analysis by Year of Establishment
6.2.2. Analysis by Company Size
6.2.3. Analysis by Location of Headquarters
6.2.4. Analysis by Company Size and Location of Headquarters
6.3. AI in Wound Care: Overall Market Landscape
6.3.1. Analysis by Type of Wound
6.3.2. Analysis by Type of AI Technology
6.3.3. Analysis by Purpose of Solution
6.3.4. Analysis by Type of AI Solutions
6.3.5. Analysis by Compatible Platforms
6.3.6. Analysis by Application Area
6.3.7. Analysis by End-user

7. COMPANY PROFILES
7.1. Chapter Overview
7.2. Detailed Company Profiles of Prominent AI in Wound Care Solution Providers
7.2.1. eKare
7.2.1.1. Company Overview
7.2.1.2. AI-powered Wound Care Solutions Portfolio
7.2.1.3. Recent Developments and Future Outlook
7.2.2. Healthy.io
7.2.2.1. Company Overview
7.2.2.2. AI-powered Wound Care Solutions Portfolio
7.2.2.3. Recent Developments and Future Outlook
7.2.3. Intellicure
7.2.3.1. Company Overview
7.2.3.2. AI-powered Wound Care Solutions Portfolio
7.2.3.3. Recent Developments and Future Outlook
7.2.4. Kronikare
7.2.4.1. Company Overview
7.2.4.2. AI-powered Wound Care Solutions Portfolio
7.2.4.3. Recent Developments and Future Outlook
7.2.5. Perceptive Solutions
7.2.5.1. Company Overview
7.2.5.2. AI-powered Wound Care Solutions Portfolio
7.2.5.3. Recent Developments and Future Outlook
7.2.6. Spectral AI
7.2.6.1. Company Overview
7.2.6.2. AI-powered Wound Care Solutions Portfolio
7.2.6.3. Recent Developments and Future Outlook
7.2.7. Swift Medical
7.2.7.1. Company Overview
7.2.7.2. AI-powered Wound Care Solutions Portfolio
7.2.7.3. Recent Developments and Future Outlook
7.2.8. The Wound Pros
7.2.8.1. Company Overview
7.2.8.2. AI-powered Wound Care Solutions Portfolio
7.2.8.3. Recent Developments and Future Outlook
7.2.9. Tissue Analytics
7.2.9.1. Company Overview
7.2.9.2. AI-powered Wound Care Solutions Portfolio
7.2.9.3. Recent Developments and Future Outlook
7.2.10. Wound Vision
7.2.10.1. Company Overview
7.2.10.2. AI-powered Wound Care Solutions Portfolio
7.2.10.3. Recent Developments and Future Outlook

8. PARTNERSHIPS AND COLLABORATIONS
8.1. Partnership Models
8.2. AI in Wound Care: Partnerships and Collaborations
8.2.1. Analysis by Year of Partnership
8.2.2. Analysis by Type of Partnership
8.2.3. Analysis by Year and Type of Partnership
8.2.4. Analysis by Type of AI Technology
8.2.5. Analysis by Application Area
8.2.6. Analysis by Type of Partner
8.2.7. Most Active Players: Analysis by Number of Partnerships
8.2.8. Analysis by Geography
8.2.8.1. Local and International Deals
8.2.8.2. Intercontinental and Intracontinental Deals

9. FUNDING AND INVESTMENTS
9.1. Chapter Overview
9.2. Funding Models
9.3. AI in Wound Care: Funding and Investments
9.3.1. Analysis by Year of Funding
9.3.2. Analysis by Type of Funding
9.3.3. Analysis by Year and Type of Funding
9.3.4. Analysis by Amount Invested
9.3.5. Analysis of Amount Invested by Type of Funding
9.3.6. Analysis by Type of Wound
9.3.7. Analysis by Geography
9.3.8. Most Active Players: Analysis by Number of Funding Instances
9.3.9. Most Active Players: Analysis by Amount Raised
9.3.10. Leading Investors: Analysis by Number of Instances

10. MARKET IMPACT ANALYSIS: DRIVERS, RESTRAINTS, OPPORTUNITIES AND CHALLENGES
10.1. Chapter Overview
10.2. Market Drivers
10.3. Market Restraints
10.4. Market Opportunities
10.5. Market Challenges
10.6. Conclusion

11. GLOBAL AI IN WOUND CARE MARKET
11.1. Chapter Overview
11.2. Key Assumptions and Methodology
11.3. Global AI in Wound Care Market, Historical Trends (2019-2023) and Forecasted Estimates (2024-2035) (USD Billion)
11.3.1. Scenario Analysis
11.3.1.1. Conversative Scenario
11.3.1.2. Optimistic Scenario
11.4. Key Market Segmentations

12. AI IN WOUND CARE MARKET, BY TYPE OF WOUND
12.1. Chapter Overview
12.2. Key Assumptions and Methodology
12.3. AI in Wound Care: Distribution by Type of Wound, 2019, 2024 and 2035
12.3.1. AI in Wound Care Market for Acute Wounds: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
12.3.2. AI in Wound Care Market for Chronic Wounds: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
12.4. Data Triangulation and Validation

13. AI IN ACUTE WOUND CARE MARKET, BY TYPE OF ACUTE WOUND
13.1. Chapter Overview
13.2. Assumptions and Methodology
13.3. AI in Acute Wound Care Market: Distribution by Type of Acute Wound, 2019, 2024 and 2035
13.3.1. AI in Acute Wound Care Market for Burns: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
13.3.2. AI in Acute Wound Care Market for Surgical Site Infections: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
13.3.3. AI in Acute Wound Care Market for Other Acute Wounds: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
13.4. Data Triangulation and Validation

14. AI IN CHRONIC WOUND CARE MARKET, BY TYPE OF CHRONIC WOUND
14.1. Chapter Overview
14.2. Assumptions and Methodology
14.3. AI in Chronic Wound Care Market: Distribution by Type of Chronic Wound, 2019, 2024 and 2035
14.3.1. AI in Chronic Wound Care Market for Diabetic Ulcers: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
14.3.2. AI in Chronic Wound Care Market for Pressure Ulcers: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
14.3.3. AI in Chronic Wound Care Market for Venous Ulcers: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
14.3.4. AI in Chronic Wound Care Market for Other Chronic Wounds: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
14.4. Data Triangulation and Validation

15. AI IN WOUND CARE MARKET, BY TYPE OF AI TECHNOLOGY
15.1. Chapter Overview
15.2. Assumptions and Methodology
15.3. AI in Wound Care Market: Distribution by Type of AI Technology, 2019, 2024 and 2035
15.3.1. AI in Wound Care Market for Deep Learning: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
15.3.2. AI in Wound Care Market for Machine Learning: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
15.3.3. AI in Wound Care Market for Other Technologies: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
15.4. Data Triangulation and Validation

16. AI IN WOUND CARE MARKET, BY END-USER
16.1. Chapter Overview
16.2. Assumptions and Methodology
16.3. AI in Wound Care Market: Distribution by End-user, 2019, 2024 and 2035
16.3.1. AI in Wound Care Market for Clinical Trial and Research Centers: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
16.3.2. AI in Wound Care Market for Home Health Agencies: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
16.3.3. AI in Wound Care Market for Hospitals: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
16.3.4. AI in Wound Care Market for Nursing Facilities: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
16.3.5. AI in Wound Care Market for Other End-users: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
16.4. Data Triangulation and Validation

17. AI IN WOUND CARE MARKET, BY KEY GEOGRAPHICAL REGIONS
17.1. Chapter Overview
17.2. Assumptions and Methodology
17.3. AI in Wound Care Market: Distribution by Key Geographical Regions, 2019, 2024 and 2035
17.3.1. AI in Wound Care Market in North America: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
17.3.2. AI in Wound Care Market in Europe: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
17.3.3. AI in Wound Care Market in Asia-Pacific: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
17.3.4. AI in Wound Care Market in Latin America: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
17.3.5. AI in Wound Care Market in Middle East and North Africa: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
17.4. Data Triangulation and Validation

18. CONCLUSION19. APPENDIX 1: TABULATED DATA20. APPENDIX 2: LIST OF COMPANIES AND ORGANIZATION
LIST OF FIGURES
Figure 2.1 Research Methodology: Project Methodology
Figure 2.2 Research Methodology: Forecast Methodology
Figure 2.3 Research Methodology: Robust Quality Control
Figure 2.4 Research Methodology: Key Market Segmentations
Figure 3.1 Lessons Learnt from Past Recessions
Figure 4.1 Executive Summary: AI in Wound Care Solution Providers Market Landscape
Figure 4.2 Executive Summary: Partnership and Collaborations
Figure 4.3 Executive Summary: Funding and Investments
Figure 4.4 Executive Summary: Market Forecast and Opportunity Analysis
Figure 5.1 Type of Wounds
Figure 5.2 Types of AI in Wound Care
Figure 5.3 Advantages of AI in Wound Care
Figure 5.4 Disadvantages of AI in Wound Care
Figure 6.1 AI-powered Wound Care Solution Providers: Distribution by Year of Establishment
Figure 6.2 AI-powered Wound Care Solution Providers: Distribution by Company Size
Figure 6.3 AI-powered Wound Care Solution Providers: Distribution by Location of Headquarters
Figure 6.4 AI-powered Wound Care Solution Providers: Distribution by Company Size and Location of Headquarters
Figure 6.5 AI-powered Wound Care Solution: Distribution by Type of Wound
Figure 6.6 AI-powered Wound Care Solution: Distribution by Type of AI Technology
Figure 6.7 AI-powered Wound Care Solution: Distribution by Purpose of Solution
Figure 6.8 AI-powered Wound Care Solution: Distribution by Type of AI Solutions
Figure 6.9 AI-powered Wound Care Solution: Distribution by Compatible Platforms
Figure 6.10 AI-powered Wound Care Solution: Distribution by Application Area
Figure 6.11 AI-powered Wound Care Solution: Distribution by End-user
Figure 8.1 Partnerships and Collaborations: Cumulative Year-wise Trend, 2019-2024
Figure 8.2 Partnerships and Collaborations: Distribution by Type of Partnership
Figure 8.3 Partnerships and Collaborations: Distribution by Year and Type of Partnership
Figure 8.4 Partnerships and Collaborations: Distribution by Type of Partner
Figure 8.5 Partnerships and Collaborations: Distribution by Type of AI Technology
Figure 8.6 Partnerships and Collaborations: Distribution by Application Area
Figure 8.7 Most Active Players: Distribution by Number of Partnerships
Figure 8.8 Partnerships and Collaborations: Local and International Deals
Figure 8.9 Partnerships and Collaborations: Intercontinental and Intracontinental Deals
Figure 9.1 Funding and Investments: Cumulative Year-wise Trend, 2019-2024
Figure 9.2 Funding and Investments: Distribution of Instances by Type of Funding
Figure 9.3 Funding and Investments: Distribution by Year and Type of Funding, 2019-2024
Figure 9.4 Funding and Investments: Distribution by Amount Invested, 2019-2024 (USD Million)
Figure 9.5 Funding and Investments: Distribution of Amount Invested by Type of Funding (USD Million)
Figure 9.6 Funding and Investments: Distribution by Type of Wound
Figure 9.7 Funding and Investments: Distribution by Geography
Figure 9.8 Most Active Players: Distribution by Number of Funding Instances
Figure 9.9 Most Active Players: Distribution by Amount Raised (USD Million)
Figure 9.10 Leading Investors: Distribution by Number of Funding Instances
Figure 10.1. AI in Wound Care: Market Drivers
Figure 10.2. AI in Wound Care: Market Restraints
Figure 10.3. AI in Wound Care: Market Opportunities
Figure 10.4. AI in Wound Care: Market Challenges
Figure 11.1 Global AI in Wound Care Market, Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 11.2 Global AI in Wound Care Market, Conservative Case (2024-2035)
Figure 11.3 Global AI in Wound Care Market, Optimistic Case (2024-2035)
Figure 12.1 AI in Wound Care Market for Distribution by Type of Wound, 2019, 2024 and 2035
Figure 12.2 AI in Wound Care Market for Acute Wounds, Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 12.3 AI in Wound Care Market for Chronic Wounds, Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 13.1 AI in Acute Wound Care Market: Distribution by Type of Acute Wound, 2019, 2024 and 2035
Figure 13.2 AI in Acute Wound Care Market for Burns: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 13.3 AI in Acute Wound Care Market for Surgical Site Infections: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 13.4 AI in Acute Wound Care Market for Other Acute Wounds: Historical Trend (2019-2023) and Forecasted Estimates (2024-2035)
Figure 14.1 AI in Chronic Wound Care Market: Distribution by Type of Chronic Wound, 2019, 2024 and 2035
Figure 14.2 AI in Chronic Wound Care Market for Diabetic Ulcers: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 14.3 AI in Chronic Wound Care Market for Pressure Ulcers: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 14.4 AI in Chronic Wound Care Market for Venous Ulcers: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 14.5 AI in Chronic Wound Care Market for Other Chronic Wounds: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 15.1 AI in Wound Care Market: Distribution by Type of AI Technology, 2019, 2024 and 2035
Figure 15.2 AI in Wound Care Market for Deep Learning: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 15.3 AI in Wound Care Market for Machine Learning: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 15.4 AI in Wound Care Market for Other Technologies: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 16.1 AI in Wound Care Market: Distribution by End-user, 2019, 2024 and 2035
Figure 16.2 AI in Wound Care Market for Clinical Trial and Research Centers: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 16.3 AI in Wound Care Market for Home Health Agencies: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 16.4 AI in Wound Care Market for Hospitals: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 16.5 AI in Wound Care Market for Nursing Facilities: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 16.6 AI in Wound Care Market for Others: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 17.1 AI in Wound Care Market: Distribution by Key Geographical Regions, 2019, 2024 and 2035
Figure 17.2 AI in Wound Care Market in North America: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 17.3 AI in Wound Care Market in Europe: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 17.4 AI in Wound Care Market in Asia-Pacific: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 17.5 AI in Wound Care Market in Latin America: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 17.6 AI in Wound Care Market in Middle East and North Africa: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Figure 18.1 Conclusion: AI-powered Wound Care Solution Providers Market Landscape
Figure 18.2 Conclusion: Partnerships and Collaborations
Figure 18.3 Conclusion: Funding and Investments
Figure 18.4 Conclusion: Market Forecast and Opportunity Analysis

LIST OF TABLES
Table 6.1 AI-powered Wound Care Solution Providers: Information on Year of Establishment, Company Size and Location of Headquarters
Table 6.2 AI-powered Wound Care Solution: Information on Information on Technology / Platform, Type of Wound, Type of AI Technology, Purpose of Solution and Type of AI Solutions
Table 6.3 AI-powered Wound Care Solution Providers: Information on Information on Compatible Platforms, Type of Wound Cared, Application Area and End-user
Table 7.1 AI in Wound Care Solution Providers: List of Companies Profiled
Table 7.2 eKare: Company Snapshot
Table 7.3 eKare: AI-powered Wound Care Solutions Portfolio
Table 7.4 Healthy.io: Company Snapshot
Table 7.5 Healthy.io: AI-powered Wound Care Solutions Portfolio
Table 7.6 Healthy.io: Recent Developments and Future Outlook
Table 7.7 Intellicure: Company Snapshot
Table 7.8 Intellicure: AI-powered Wound Care Solutions Portfolio
Table 7.9 Intellicure: Recent Developments and Future Outlook
Table 7.10 KroniKare: Company Snapshot
Table 7.11 KroniKare: AI-powered Wound Care Solutions Portfolio
Table 7.12 Perceptive Solutions: Company Snapshot
Table 7.13 Perceptive Solutions: AI-powered Wound Care Solutions Portfolio
Table 7.14 Perceptive Solutions: Recent Developments and Future Outlook Snapshot
Table 7.15 Spectral AI: Company Snapshot
Table 7.16 Spectral AI: AI-powered Wound Care Solutions Portfolio
Table 7.17 Spectral AI: Recent Developments and Future Outlook
Table 7.18 Swift Medical: Company Snapshot
Table 7.19 Swift Medical: AI-powered Wound Care Solutions Portfolio
Table 7.20 Swift Medical: Recent Developments and Future Outlook
Table 7.21 The Wound Pros: Company Snapshot
Table 7.22 The Wound Pros: AI-powered Wound Care Solutions Portfolio
Table 7.23 The Wound Pros: Recent Developments and Future Outlook
Table 7.24 Tissue Analytics: Company Snapshot
Table 7.25 Tissue Analytics: AI-powered Wound Care Solutions Portfolio
Table 7.26 Wound Vision: Company Snapshot
Table 7.27 Wound Vision: AI-powered Wound Care Solutions Portfolio
Table 8.1 AI in Wound Care: List of Partnerships and Collaborations, 2019-2024
Table 9.1 AI in Wound Care: List of Funding and Investments, 2019-2024
Table 19.1 AI-powered Wound Care Solution Providers: Distribution by Year of Establishment
Table 19.2 AI-powered Wound Care Solution Providers: Distribution by Company Size
Table 19.3 AI-powered Wound Care Solution Providers: Distribution by Location of Headquarters
Table 19.4 AI-powered Wound Care Solution Providers: Distribution by Company Size and Location of Headquarters
Table 19.5 AI-powered Wound Care Solution: Distribution by Type of Wound
Table 19.6 AI-powered Wound Care Solution: Distribution by Type of AI Technology
Table 19.7 AI-powered Wound Care Solution: Distribution by Purpose of Solution
Table 19.8 AI-powered Wound Care Solution: Distribution by Type of AI Solutions
Table 19.9 AI-powered Wound Care Solution: Distribution by Compatible Platforms
Table 19.10 AI-powered Wound Care Solution Providers: Distribution by Application Area
Table 19.11 AI-powered Wound Care Solution Providers: Distribution by End-user
Table 19.12 Partnerships and Collaborations: Cumulative Year-wise Trend, 2019-2024
Table 19.13 Partnerships and Collaborations: Distribution by Type of Partnership
Table 19.14 Partnerships and Collaborations: Distribution by Year and Type of Partnerships
Table 19.15 Partnerships and Collaborations: Distribution by Type of Partner
Table 19.16 Partnerships and Collaborations: Distribution by Type of AI Technology
Table 19.17 Partnerships and Collaborations: Distribution by Application Area
Table 19.18 Most Active Players: Distribution by Number of Partnerships
Table 19.19 Partnerships and Collaborations: Local and International Deals
Table 19.20 Partnerships and Collaborations: Intercontinental and Intracontinental Deals
Table 19.21 Funding and Investments: Cumulative Year-wise Trend, 2019-2024
Table 19.22 Funding and Investments: Distribution of Instances by Type of Funding
Table 19.23 Funding and Investments: Distribution by Year and Type of Funding, 2019-2024
Table 19.24 Funding and Investments: Distribution by Amount Invested, 2019-2024 (USD Million)
Table 19.25 Funding and Investments: Distribution of Amount Invested by Type of Funding (USD Million)
Table 19.26 Funding and Investments: Distribution by Type of Wound
Table 19.27 Funding and Investments: Distribution by Geography
Table 19.28 Most Active Players: Distribution by Number of Funding Instances
Table 19.29 Most Active Players: Distribution by Amount Raised (USD Million)
Table 19.30 Leading Investors: Distribution by Number of Funding Instances
Table 19.31 Global AI in Wound Care Market, Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.32 AI in Wound Care Market: Distribution by Type of Wound, 2019, 2024 and 2035
Table 19.33 AI in Wound Care Market for Acute Wounds, Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.34 AI in Wound Care Market for Chronic Wounds, Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.35 AI in Acute Wound Care Market: Distribution by Type of Acute Wound, 2019, 2024 and 2035
Table 19.36 AI in Acute Wound Care Market for Burns: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.37 AI in Acute Wound Care Market for Surgical Site Infection: Historical Trends (2019- 2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.38 AI in Acute Wound Care Market for Other Acute Wounds: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.39 AI in Chronic Wound Care Market: Distribution by Type of Chronic Wound, 2019, 2024 and 2035
Table 19.40 AI in Chronic Wound Care Market for Diabetic Ulcers: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.41 AI in Chronic Wound Care Market for Pressure Ulcers: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035)
Table 19.42 AI in Chronic Wound Care Market for Venous Ulcers: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.43 AI in Chronic Wound Care Market for Other Chronic Wounds: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.44 AI in Wound Care Market: Distribution by Type of AI Technology, 2019, 2024 and 2035
Table 19.45 AI in Wound Care Market for Deep Learning: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.46 AI in Wound Care Market for Machine Learning: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.47 AI in Wound Care Market for Other Technologies: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.48 AI in Wound Care Market: Distribution by End-user, 2019, 2024 and 2035
Table 19.49 AI in Wound Care Market for Clinical Trial and Research Centers: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.50 AI in Wound Care Market for Home Health Agencies: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.51 AI in Wound Care Market for Hospitals: Historical Trends (2019-2023) and Forecasted Estimates (2024- 2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.52 AI in Wound Care Market for Nursing Facilities: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.53 AI in Wound Care Market for Others: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.54 AI in Wound Care Market: Distribution by Key Geographical Regions, 2019, 2024 and 2035
Table 19.55 AI in Wound Care Market in North America: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.56 AI in Wound Care Market in Europe: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.57 AI in Wound Care Market in Asia-Pacific: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.58 AI in Wound Care Market in Latin America: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)
Table 19.59 AI in Wound Care Market in Middle East and North Africa: Historical Trends (2019-2023) and Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenario (USD Billion)

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

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

Methodology

 

 

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