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市场调查报告书
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1649481

创伤护理中的人工智慧 (AI)：预测（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个工作天内

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简介目录

创伤护理领域的人工智慧 (AI) 市场预计将从 2025 年的 33.2 亿美元增长到 2030 年的 76.5 亿美元，预测期内的复合年增长率为 18.17%。

人工智慧 (AI) 透过提供解决方案来增强伤口诊断、评估、监测和治疗，彻底改变了创伤护理。透过整合人工智慧和人类智能，这些技术可以实现更快、更精确的伤口管理。创伤护理管理相关成本的上升给医疗保健系统带来了沉重的负担，特别是美国医疗保险领域，导致治疗机会减少和等待时间延长。创伤护理中的人工智慧旨在解决传统治疗方法的局限性。在各种人工智慧技术中，深度学习和机器学习已成为该领域的有效工具。专家认为，将创伤护理与人工智慧技术相结合具有改善治疗效果的巨大潜力，尤其是在慢性病变得越来越普遍的今天。预计该领域的投资增加将推动人工智慧创伤护理市场的成长。

创伤护理市场中的人工智慧（AI）驱动因素：

  • 糖尿病盛行率上升：全球糖尿病患者数量的增加显着影响了创伤护理人工智慧市场的成长。糖尿病会导致血糖值升高，并可能导致心臟病、肾衰竭、神经病变和视力丧失等併发症。糖尿病主要影响老年人，其盛行率与肥胖率上升有关，增加了罹患第 2 型糖尿病的风险。人工智慧技术透过提供准确的伤口评估和个人化的治疗计划来增强糖尿病管理，改善糖尿病溃疡治疗的结果。例如，根据美国疾病管制与预防中心（CDC）的报告，美国约有3,840万人患有糖尿病，占总人口的11.6%，且65岁以上人口的盛行率显着上升。

创伤护理市场人工智慧（AI）的地理模式：

  • 北美预计将显着成长：由于北美拥有先进的医疗保健基础设施、技术投资以及领先的行业参与者，预计北美将引领创伤护理人工智慧市场。糖尿病溃疡和压疮等慢性伤口正在推动对创新创伤护理解决方案的需求。政府支持计画和医疗创新资金将进一步刺激人工智慧技术在伤口评估和管理中的应用。此外，医疗保健提供者和科技公司之间的伙伴关係正在推动人工智慧工具的进步，从而增强创伤护理程序并改善患者治疗效果。

市场也见证了医疗专业人士和患者对人工智慧在伤口管理方面的好处的认识不断提高。总而言之，由于糖尿病盛行率不断上升，需要有效的治疗方案、人工智慧技术的进步以加强患者照护、该领域的大量投资活动以及特别是北美的区域扩张将支持市场扩张，预计创伤护理市场的人工智慧将出现强劲增长。

为什么要购买这份报告？

  • 深刻分析：获得深入的市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、垂直行业和其他子区隔，涵盖主要地区和新兴地区。
  • 竞争格局：了解全球主要企业所采用的策略策略，并了解正确策略带来的潜在市场渗透率。
  • 市场趋势和驱动因素：探索动态因素和关键市场趋势以及它们将如何影响未来的市场发展。
  • 可行的建议：利用洞察力做出策略决策，在动态环境中开闢新的业务流和收益。
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它有什么用途？

产业与市场分析、商业机会评估、产品需求预测、打入市场策略、地理扩张、资本支出决策、法律规范与影响、新产品开发、竞争影响

研究范围

  • 2022 年至 2030 年的实际资料和预测
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争定位、策略与市场占有率分析
  • 细分和区域分析，包括收益成长和预测国家
  • 公司概况（策略、产品、财务、主要发展等）

创伤护理市场的人工智慧（AI）细分如下：

按类型

  • 急性伤口
  • 慢性伤口

依技术分类

  • 深度学习
  • 机器学习
  • 其他技术

按最终用户

  • 临床试验与研究中心
  • 医疗机构
  • 医院
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 德国
  • 英国
  • 法国
  • 西班牙
  • 其他的
  • 中东和非洲
  • UAE
  • 以色列
  • 其他的
  • 亚太地区
  • 中国
  • 日本
  • 韩国
  • 印度
  • 印尼
  • 台湾
  • 泰国
  • 其他的

目录

第 1 章 简介

  • 市场概况
  • 市场定义
  • 研究范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关利益者的主要利益

第二章调查方法

  • 研究设计
  • 研究过程

第三章执行摘要

  • 主要发现
  • CXO观点

第四章 市场动态

  • 市场驱动因素
  • 市场限制
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第 5 章创伤护理市场中的人工智慧 (AI) 类型

  • 介绍
  • 急性伤口
  • 慢性伤口

第六章创伤护理市场中的人工智慧（AI）技术

  • 介绍
  • 深度学习
  • 机器学习
  • 其他技术

第 7 章创伤护理市场中的人工智慧 (AI)（按最终用户）

  • 介绍
  • 临床试验与研究中心
  • 健康组织
  • 医院
  • 其他的

第 8创伤护理。

  • 介绍
  • 北美洲
    • 按类型
    • 依技术分类
    • 按最终用户
    • 按国家
  • 南美洲
    • 按类型
    • 依技术分类
    • 按最终用户
    • 按国家
  • 欧洲
    • 按类型
    • 依技术分类
    • 按最终用户
    • 按国家
  • 中东和非洲
    • 按类型
    • 依技术分类
    • 按最终用户
    • 按国家
  • 亚太地区
    • 按类型
    • 依技术分类
    • 按最终用户
    • 按国家

第九章竞争格局及分析

  • 主要企业和策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争仪錶板

第十章 公司简介

  • KroniKare Pte Ltd
  • Swift Medical
  • Wound Vision
  • EKare Inc.
  • Healthy. io
  • Intellicure
  • Perspective Solutions
  • Spectral AI
  • Tissue Analytics
  • The Wound Pros
  • Healogics
  • Vantiq
简介目录
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