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市場調查報告書
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1649481

創傷護理中的人工智慧 (AI)：預測（2025-2030 年）

Artificial Intelligence (AI) In Wound Care Market - Forecasts from 2025 to 2030
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 144 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

創傷護理領域的人工智慧 (AI) 市場預計將從 2025 年的 33.2 億美元成長到 2030 年的 76.5 億美元，預測期內的複合年成長率為 18.17%。

人工智慧 (AI) 透過提供解決方案來增強傷口診斷、評估、監測和治療，徹底改變了創傷護理。透過整合人工智慧和人類智慧，這些技術可以實現更快、更精確的傷口管理。創傷護理管理相關成本的上升給醫療保健系統帶來了沉重的負擔，特別是美國醫療保險領域，導致治療機會減少和等待時間延長。創傷護理中的人工智慧旨在解決傳統治療方法的局限性。在各種人工智慧技術中，深度學習和機器學習已成為該領域的有效工具。專家認為，將創傷護理與人工智慧技術相結合具有改善治療效果的巨大潛力，尤其是在慢性病變得越來越普遍的今天。預計該領域的投資增加將推動人工智慧創傷護理市場的成長。

創傷護理市場中的人工智慧（AI）促進因素：

  • 糖尿病盛行率上升：全球糖尿病患者數量的增加顯著影響了創傷護理人工智慧市場的成長。糖尿病會導致血糖值升高，並可能導致心臟病、腎衰竭、神經病變和視力喪失等併發症。糖尿病主要影響老年人，其盛行率與肥胖率上升有關，增加了罹患第 2 型糖尿病的風險。人工智慧技術透過提供準確的傷口評估和個人化的治療計劃來增強糖尿病管理，改善糖尿病潰瘍治療的結果。例如，根據美國疾病管制與預防中心（CDC）的報告，美國約有3,840萬人患有糖尿病，佔總人口的11.6%，且65歲以上人口的盛行率顯著上升。

創傷護理市場人工智慧（AI）的地理模式：

  • 北美預計將顯著成長：由於北美擁有先進的醫療保健基礎設施、技術投資以及領先的行業參與者，預計北美將引領創傷護理人工智慧市場。糖尿病潰瘍和壓瘡等慢性傷口正在推動對創新創傷護理解決方案的需求。政府支持計畫和醫療創新資金將進一步刺激人工智慧技術在傷口評估和管理中的應用。此外，醫療保健提供者和科技公司之間的夥伴關係正在推動人工智慧工具的進步，從而增強創傷護理程序並改善患者治療效果。

市場也見證了醫療專業人士和患者對人工智慧在傷口管理方面的好處的認知不斷提高。總而言之，由於糖尿病盛行率不斷上升，需要有效的治療方案、人工智慧技術的進步以加強患者照護、該領域的大量投資活動以及特別是北美的區域擴張將支持市場擴張，預計創傷護理市場的人工智慧將出現強勁成長。

為什麼要購買這份報告？

  • 深刻分析：獲得深入的市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、垂直行業和其他子區隔，涵蓋主要地區和新興地區。
  • 競爭格局：了解全球主要企業所採用的策略策略，並了解正確策略帶來的潛在市場滲透率。
  • 市場趨勢和促進因素：探索動態因素和關鍵市場趨勢以及它們將如何影響未來的市場發展。
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它有什麼用途？

產業與市場分析、商業機會評估、產品需求預測、打入市場策略、地理擴張、資本支出決策、法律規範與影響、新產品開發、競爭影響

研究範圍

  • 2022 年至 2030 年的實際資料和預測
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭定位、策略與市場佔有率分析
  • 細分和區域分析，包括收益成長和預測國家
  • 公司概況（策略、產品、財務、主要發展等）

創傷護理市場的人工智慧（AI）細分如下：

按類型

  • 急性傷口
  • 慢性傷口

依技術分類

  • 深度學習
  • 機器學習
  • 其他技術

按最終用戶

  • 臨床試驗與研究中心
  • 醫療機構
  • 醫院
  • 其他

按地區

  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他
  • 歐洲
  • 德國
  • 英國
  • 法國
  • 西班牙
  • 其他
  • 中東和非洲
  • UAE
  • 以色列
  • 其他
  • 亞太地區
  • 中國
  • 日本
  • 韓國
  • 印度
  • 印尼
  • 台灣
  • 泰國
  • 其他

目錄

第 1 章 簡介

  • 市場概況
  • 市場定義
  • 研究範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關利益者的主要利益

第2章調查方法

  • 研究設計
  • 研究過程

第3章執行摘要

  • 主要發現
  • CXO觀點

第4章 市場動態

  • 市場促進因素
  • 市場限制
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第 5 章創傷護理市場中的人工智慧 (AI) 類型

  • 介紹
  • 急性傷口
  • 慢性傷口

第6章創傷護理市場中的人工智慧（AI）技術

  • 介紹
  • 深度學習
  • 機器學習
  • 其他技術

第 7 章創傷護理市場中的人工智慧 (AI)（按最終用戶）

  • 介紹
  • 臨床試驗與研究中心
  • 健康組織
  • 醫院
  • 其他

第 8創傷護理。

  • 介紹
  • 北美洲
    • 按類型
    • 依技術分類
    • 按最終用戶
    • 按國家
  • 南美洲
    • 按類型
    • 依技術分類
    • 按最終用戶
    • 按國家
  • 歐洲
    • 按類型
    • 依技術分類
    • 按最終用戶
    • 按國家
  • 中東和非洲
    • 按類型
    • 依技術分類
    • 按最終用戶
    • 按國家
  • 亞太地區
    • 按類型
    • 依技術分類
    • 按最終用戶
    • 按國家

第9章競爭格局及分析

  • 主要企業和策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭儀錶板

第10章 公司簡介

  • KroniKare Pte Ltd
  • Swift Medical
  • Wound Vision
  • EKare Inc.
  • Healthy. io
  • Intellicure
  • Perspective Solutions
  • Spectral AI
  • Tissue Analytics
  • The Wound Pros
  • Healogics
  • Vantiq
簡介目錄
Product Code: KSI061617255

Artificial Intelligence (AI) in the wound care market is projected to grow at a CAGR of 18.17% over the forecast period, increasing from US$3.32 billion in 2025 to US$7.65 billion by 2030.

Artificial intelligence (AI) is revolutionizing wound care by providing solutions that enhance the diagnosis, assessment, monitoring, and treatment of wounds. By integrating AI with human intelligence, these technologies facilitate faster and more accurate wound management. The rising costs associated with wound care management, particularly within the Medicare sector in the U.S., have become a significant burden on the healthcare system, leading to reduced access to care and longer wait times.AI in wound care aims to address the limitations of traditional treatment methods. Among various AI technologies, deep learning and machine learning are emerging as effective tools in this field. Experts believe that combining wound care with AI technology has substantial potential for improving outcomes, especially as chronic diseases become more prevalent. Increased investment in this area is expected to drive growth in the AI-powered wound care market.

Drivers of the Artificial Intelligence (AI) in Wound Care Market:

  • Rising Prevalence of Diabetes: The growth of the AI in wound care market is significantly influenced by the increasing number of diabetes cases worldwide. Diabetes leads to elevated blood sugar levels and can result in complications such as heart disease, kidney failure, neuropathy, and vision loss. The condition predominantly affects older populations, with its prevalence linked to rising obesity rates that increase the risk of developing type 2 diabetes. AI technologies enhance diabetes management by providing accurate assessments of wounds and personalized treatment plans, thereby improving the effectiveness of diabetic ulcer treatments. For instance, according to a report from the Centers for Disease Control and Prevention (CDC), approximately 38.4 million people in the U.S. have diabetes, representing 11.6% of the population, with prevalence rising significantly among those aged 65 and older.

Geographical Outlook of the Artificial Intelligence (AI) in Wound Care Market:

  • North America Expected to Experience Significant Growth: North America is projected to lead the AI in wound care market due to its advanced healthcare infrastructure, technological investments, and presence of major industry players. Chronic wounds such as diabetic ulcers and pressure sores are driving demand for innovative wound care solutions. Government support programs and funding for healthcare innovations further stimulate the adoption of AI technologies in wound evaluation and management. Additionally, partnerships between healthcare providers and technology companies are fostering advancements in AI tools that enhance wound care procedures and improve patient outcomes.

The market is also experiencing increased awareness among healthcare professionals and patients regarding the benefits of AI in wound management. This growing recognition is expected to contribute significantly to market expansion.In summary, the AI in wound care market is poised for robust growth driven by rising diabetes prevalence necessitating effective treatment solutions, advancements in AI technology enhancing patient care, significant investment activity in this field, and geographical developments-particularly within North America-that support this expanding market landscape.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The Artificial Intelligence (AI) In wound care market has been segmented as following:

By Type

  • Acute Wound
  • Chronic Wound

By Technology

  • Deep Learning
  • Machine Learning
  • Other Technologies

By End-User

  • Clinical Trials and Research Centers
  • Health Agencies
  • Hospitals
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • UK
  • France
  • Spain
  • Others
  • Middle East and Africa
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • South Korea
  • India
  • Indonesia
  • Taiwan
  • Thailand
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Processes

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. CXO Perspective

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. ARTIFICIAL INTELLIGENCE (AI) IN THE WOUND CARE MARKET BY TYPE

  • 5.1. Introduction
  • 5.2. Acute Wound
  • 5.3. Chronic Wound

6. ARTIFICIAL INTELLIGENCE (AI) IN THE WOUND CARE MARKET BY TECHNOLOGY

  • 6.1. Introduction
  • 6.2. Deep Learning
  • 6.3. Machine Learning
  • 6.4. Other Technologies

7. ARTIFICIAL INTELLIGENCE (AI) IN THE WOUND CARE MARKET BY END-USER

  • 7.1. Introduction
  • 7.2. Clinical Trials and Research Centers
  • 7.3. Health Agencies
  • 7.4. Hospitals
  • 7.5. Others

8. ARTIFICIAL INTELLIGENCE (AI) IN THE WOUND CARE MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Type
    • 8.2.2. By Technology
    • 8.2.3. By End-User
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Type
    • 8.3.2. By Technology
    • 8.3.3. By End-User
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Type
    • 8.4.2. By Technology
    • 8.4.3. By End-User
    • 8.4.4. By Country
      • 8.4.4.1. Germany
      • 8.4.4.2. UK
      • 8.4.4.3. France
      • 8.4.4.4. Spain
      • 8.4.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Type
    • 8.5.2. By Technology
    • 8.5.3. By End-User
    • 8.5.4. By Country
      • 8.5.4.1. UAE
      • 8.5.4.2. Israel
      • 8.5.4.3. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Type
    • 8.6.2. By Technology
    • 8.6.3. By End-User
    • 8.6.4. By Country
      • 8.6.4.1. China
      • 8.6.4.2. Japan
      • 8.6.4.3. South Korea
      • 8.6.4.4. India
      • 8.6.4.5. Indonesia
      • 8.6.4.6. Taiwan
      • 8.6.4.7. Thailand
      • 8.6.4.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. KroniKare Pte Ltd
  • 10.2. Swift Medical
  • 10.3. Wound Vision
  • 10.4. EKare Inc.
  • 10.5. Healthy. io
  • 10.6. Intellicure
  • 10.7. Perspective Solutions
  • 10.8. Spectral AI
  • 10.9. Tissue Analytics
  • 10.10. The Wound Pros
  • 10.11. Healogics
  • 10.12. Vantiq