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皮肤病诊断领域人工智慧的全球市场：预测（2023-2028）
市场调查报告书
商品编码
1410177

皮肤病诊断领域人工智慧的全球市场：预测（2023-2028）

AI in Dermatology Diagnosis Market - Forecasts from 2023 to 2028
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 145 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

2021年全球皮肤科诊断人工智慧市场规模达101,803,000美元。

皮肤病诊断市场中的人工智慧预计将在整个预测期内稳步增长。皮肤病诊断市场中的人工智慧是一种改变游戏规则的皮肤病护理方法，利用人工智慧（AI）的潜力来改变皮肤病的诊断和治疗。随着世界范围内皮肤病发病率的增加，对准确、快速诊断的需求日益增长。人工智慧驱动的皮肤科系统使用先进的演算法来分析大型医学照片资料库，从而实现皮肤疾病的快速诊断和分类。这些最尖端科技使皮肤科医生能够做出更准确的诊断，从而改善患者的治疗效果并制定个人化的治疗策略。随着AI技术的进步，皮肤科诊断领域的AI市场可望大幅上升，为改善皮肤科治疗、扩大皮肤病管理边界提供有效途径。

皮肤病盛行率的增加将推动人工智慧在皮肤病诊断市场的成长。

由于世界各地皮肤病发病率的不断增加，皮肤病诊断领域的人工智慧市场正在迅速扩大。据世界卫生组织 (WHO) 称，皮肤病困扰着数百万人，在任何特定时间约有 9 亿人患有皮肤病。痤疮、干癣、皮肤癌等是严重的健康问题，需要准确快速的诊断。由人工智慧驱动的皮肤科解决方案透过分析大量医学照片资料库并帮助皮肤科医生做出更准确的诊断来满足这一需求。随着皮肤病盛行率的增加，对人工智慧皮肤科诊断的需求也随之增加，推动了人工智慧在皮肤科诊断市场的成长。

皮肤科诊断市场对AI高效、准确诊断的需求不断增长。

由于对高效、准确诊断的需求不断增加，皮肤科诊断领域的人工智慧市场正在迅速扩大。提高诊断效率并最大限度地缩短正确评估所需时间的愿望推动了对人工智慧驱动的皮肤科解决方案的需求。人工智慧系统可以快速且准确地分析大量医学照片，帮助检测各种皮肤疾病。随着医疗保健专业人员和患者寻求准确、快速的诊断，人工智慧在皮肤病诊断中的使用预计将迅速增加。

远端医疗和远距皮肤科服务的普及将扩大人工智慧在皮肤科诊断领域的市场规模。

由于远端医疗和远距皮肤科服务的使用越来越多，皮肤科诊断领域的人工智慧市场正在迅速扩大。人工智慧驱动的皮肤科解决方案与远端医疗系统的整合使皮肤科医生能够远端分析皮肤问题、进行检查并为患者提供随时随地的快速诊断。远距皮肤科服务的简单性和可近性，以及人工智慧帮助正确诊断的潜力，正在推动人工智慧在皮肤科诊断中的使用，并改善世界各地患者获得专业皮肤科治疗的机会。

北美是皮肤病诊断领域人工智慧的市场领导者。

北美已成为皮肤病诊断市场人工智慧的市场领导者。该地区处于领先地位的原因有很多，包括完善的医疗基础设施、新技术的广泛使用以及人工智慧研发的大量支出。北美拥有许多专门从事人工智慧主导的皮肤科解决方案的重要公司和新兴企业，支援产品创新和市场扩张。此外，该地区皮肤病发病率的增加以及对快速准确的皮肤病诊断的需求不断增长也刺激了人工智慧皮肤病解决方案的采用。该地区对技术突破的重视和对改善皮肤病治疗的奉献正在推动其走在皮肤病诊断市场人工智慧的前沿。

人工智慧在皮肤病诊断市场中扩大皮肤病治疗机会的潜力。

由于人工智慧能够扩大皮肤科治疗的覆盖范围，皮肤科诊断市场中的人工智慧正在迅速扩大。根据发表在《皮肤病学研究杂誌》上的一项研究，人工智慧演算法在识别皮肤癌方面的诊断准确率高达 95%，与皮肤科医生的诊断准确率相当。人工智慧驱动的皮肤科解决方案可以弥合皮肤科医生和弱势社区之间的差距，改善获得优质护理的机会。据世界卫生组织 (WHO) 称，低收入国家 30% 以上的皮肤病被误诊或未治疗。人工智慧远端执行高效、准确诊断的能力可以使皮肤科护理民主化，使农村和服务欠缺地区的患者能够获得快速、准确的诊断，这是实现这一目标的可行工具。

主要进展：

2021年12月，Canfield Scientific在收购Medici Medical Srl后宣布成立Canfield Scientific Srl，成功进军欧洲皮肤科和美容影像产业。多年来，Medici Medical 为皮肤镜检查领域的各种进步做出了贡献，开发了一流的设备，并成为义大利皮肤科医生的最爱。 2022年4月，全球医疗人工智慧（AI）企业VUNO与梅奥诊所达成研究合作。这项研究合作由 VUNO 执行长 Lee Yeha 签署，将使两个组织能够增强人工智慧驱动的精准肿瘤学技术并提供精准肿瘤学治疗。透过这项研究合作伙伴关係，VUNO 将与 Mayo Clinic 合作创建新颖的人工智慧和机器学习解决方案，以实现更准确的癌症诊断、预后预测和治疗分层。这项合作研究伙伴关係将 VUNO 的 AI 研究和开发技能与 Mayo Clinic 的 AI 研究、临床知识和资源相结合，创建广泛的预测和预后生物标誌物，以指导治疗决策并加强对癌症患者的护理。

企业产品

  • 皮肤科影像软体： 3Derm 提供与 AI 演算法结合的卓越成像软体。该程式透过分析和解释皮肤病的医学照片，帮助皮肤科医生建立准确有效的诊断。
  • 皮肤科远端医疗解决方案： Canfield 的人工智慧远端医疗技术可以提供远端咨询和虚拟皮肤检查。皮肤科医生可以从任何地方存取患者资料、照片和人工智慧生成的见解，为患者提供更快、更个人化的护理。
  • MoleScope 皮肤科设备： MoleScope 可能会提供配备高解析度相机的专用皮肤镜设备，可拍摄痣和皮肤异常的详细图片。人工智慧演算法可以分析这些照片并帮助早期诊断可能的皮肤癌。
  • 用于病患监测的行动应用程式： SkinIO 可能会提供一个行动应用程序，允许用户经常拍摄和提交其皮肤照片。该应用程式的人工智慧技术记录了痣和病变随时间的变化，使用户和医疗保健专业人员能够监测皮肤健康并发现任何可能令人担忧的变化。

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表

第二章调查方法

  • 调查资料
  • 资讯来源
  • 研究设计

第三章执行摘要

  • 研究亮点

第四章市场动态

  • 市场驱动因素
  • 市场抑制因素
  • 波特五力分析
    • 供应商的议价能力
    • 买方议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 产业内竞争企业之间的对抗关係
  • 产业价值链分析

第五章皮肤科诊断人工智慧市场：按类型

  • 介绍
  • 独立人工智慧系统
  • 由人工智慧驱动的行动应用程式

第六章 皮肤科诊断人工智慧市场：依技术划分

  • 介绍
  • 机器学习
  • 深度学习
  • 电脑视觉
  • 自然语言处理（NLP）
  • 其他的

第七章 皮肤科诊断人工智慧市场：依应用分类

  • 介绍
  • 皮肤癌诊断
  • 痤疮/酒糟诊断
  • 干癣诊断
  • 湿疹诊断
  • 毛髮/指甲疾病诊断
  • 其他的

第八章皮肤科诊断中的人工智慧市场：按最终用户划分

  • 介绍
  • 医院/诊所
  • 皮肤科诊所中心
  • 研究机构/学术中心
  • 其他的

第九章皮肤科诊断人工智慧市场：按地区

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他的
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 其他的
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 其他的
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 韩国
    • 印尼
    • 台湾
    • 其他的

第十章竞争环境及分析

  • 主要企业及策略分析
  • 新兴企业和市场盈利
  • 合併、收购、协议和合作
  • 供应商竞争力矩阵

第十一章 公司简介

  • 3DERM SYSTEMS, INC.
  • AIDOC MEDICAL LTD.
  • AIDOC
  • ARTERYS INC.
  • BEIJING INFERVISION TECHNOLOGY CO., LTD.
  • BUTTERFLY NETWORK, INC.
  • ENLITIC, INC.
  • FDNA INC.
  • IBM CORPORATION
  • MIRADA MEDICAL LIMITED
简介目录
Product Code: KSI061615853

The AI in dermatology diagnosis market was valued at US$101.803 million in 2021.

The AI in dermatology diagnosis market is anticipated to grow at a steady pace throughout the forecast period. The AI in dermatology diagnosis market is a game-changing approach to dermatological care, utilising the potential of artificial intelligence (AI) to change skin disease diagnosis and treatment. With the increasing frequency of skin disorders globally, there is a greater need for accurate and fast diagnosis. AI-powered dermatological systems analyse large databases of medical pictures using advanced algorithms, allowing for quick diagnosis and categorization of skin problems. These cutting-edge technologies let dermatologists make more exact diagnoses, resulting in better patient outcomes and personalised treatment strategies. As AI technology advances, the AI in dermatology diagnosis market is predicted to rise significantly, providing a viable avenue for improved dermatological treatment, and broadening the boundaries of skin disease management.

Increasing Prevalence of Skin Disorders Enhances the AI in Dermatology Diagnosis Market Growth.

Because of the rising frequency of skin problems worldwide, the AI in dermatology diagnosis market is expanding rapidly. Skin disorders afflict millions of individuals, according to the World Health Organisation (WHO), with around 900 million people suffering from skin illnesses at any given moment. Acne, psoriasis, and skin cancer pose substantial healthcare concerns, necessitating precise and fast diagnosis. Artificial intelligence-powered dermatological solutions are meeting this demand by analysing massive databases of medical pictures and assisting dermatologists in generating more precise diagnoses. As the prevalence of skin illnesses rises, so will the need for AI-driven dermatological diagnostics, fuelling the growth of the AI in dermatology diagnosis market.

Rising Demand for Efficient and Accurate Diagnoses in AI in Dermatology Diagnosis Market.

Because of the increasing demand for efficient and precise diagnostics, the AI in dermatology diagnosis market is expanding rapidly. The desire to increase diagnostic efficiency and minimise the time required for correct evaluations drives the need for AI-driven dermatological solutions. AI-powered systems can analyse vast amounts of medical photos quickly and accurately, assisting in the detection of various skin conditions. As healthcare practitioners and patients seek accurate and rapid diagnoses, the use of AI in dermatology diagnosis is expected to skyrocket.

Growing Adoption of Telemedicine and Remote Dermatology Services Boosts the AI in Dermatology Diagnosis Market Size.

Because of the increased usage of telemedicine and remote dermatological services, the AI in dermatology diagnosis market is seeing rapid expansion. Dermatologists can remotely analyse skin issues, conduct consultations, and deliver quick diagnoses to patients from any place thanks to the integration of AI-powered dermatological solutions with telemedicine systems. Remote dermatology services' simplicity and accessibility, together with AI's potential to help in correct diagnoses, have expedited the use of AI in dermatology diagnosis and improved access to specialised dermatological treatment for patients globally.

North America is the Market Leader in the AI in Dermatology Diagnosis Market.

North America has emerged as the market leader in AI in the dermatology diagnosis market. Several reasons contribute to this region's leadership, including a well-established healthcare infrastructure, widespread use of new technology, and major expenditures in AI research and development. Numerous significant firms and startups specializing in AI-driven dermatological solutions can be found in North America, supporting product innovation and market expansion. Furthermore, the region's increasing frequency of skin illnesses, along with a growing desire for quick and precise dermatological diagnosis, has fueled the adoption of AI-powered dermatology solutions. The region's emphasis on technology breakthroughs and dedication to improving dermatological treatment have helped to propel it to the forefront of the AI in the dermatology diagnosis market.

AI's Potential in Expanding Access to Dermatological Care in AI in Dermatology Diagnosis Market.

The AI in dermatology diagnosis market is quickly expanding, spurred by AI's ability to extend access to dermatological treatment. According to research published in the Journal of Investigative Dermatology, AI algorithms obtained a diagnosis accuracy of 95% in recognizing skin cancer, which is equivalent to dermatologists' accuracy. AI-powered dermatology solutions can bridge the gap between dermatological specialists and underprivileged areas, enhancing access to excellent care. According to the World Health Organisation, over 30% of skin problems in low-income nations are misdiagnosed or untreated. AI's capacity to give efficient and accurate diagnostics remotely makes it a viable tool for democratizing dermatological care and ensuring patients in rural or underserved locations receive prompt and accurate assessments.

Key Developments:

  • In December 2021, Canfield Scientific announced the formation of Canfield Scientific S.r.l., after the purchase of Medici Medical S.r.l., following its successful development into the European dermatological and aesthetics imaging industry. For years, Medici Medical has been responsible for various advances in dermoscopy and has created best-in-class equipment, making them the dermatologists' favourite option in Italy.
  • In April 2022, VUNO, a global medical artificial intelligence (AI) business, has entered a research collaboration with the Mayo Clinic. The research collaboration, signed by VUNO CEO Lee Yeha, allows both organisations to enhance AI-driven precision oncology technologies to provide precision oncology treatment. VUNO will collaborate with Mayo Clinic to create novel AI and machine learning solutions for more precise cancer diagnosis, prognosis, and therapy stratification through this research partnership. This collaboration partnership combines VUNO's AI R&D skills with Mayo Clinic's AI research, clinical knowledge, and resources to produce a broad range of predictive and prognostic biomarkers to guide therapy decisions and enhance cancer patient care.

Company Products:

  • Dermatology Imaging Software: 3Derm most likely offers superior imaging software that is combined with AI algorithms. This programme assists dermatologists in establishing accurate and efficient diagnosis by analysing and interpreting medical photographs of skin diseases.
  • Dermatology Telemedicine Solutions: Canfield's AI-powered telemedicine technology may offer remote consultations and virtual skin exams. Dermatologists can access patient data, pictures, and AI-generated insights from any place to give prompt and personalised care to patients.
  • MoleScope Dermatology Device: MoleScope most likely provides a specialized dermoscopy gadget outfitted with a high-resolution camera capable of capturing detailed photos of moles and skin abnormalities. AI algorithms may be used to analyze these photos in order to help in the early diagnosis of probable skin cancer.
  • Mobile App for Patient Monitoring: SkinIO may provide a mobile app that allows users to frequently shoot and submit photographs of their skin. The AI technology in the app records changes in moles and lesions over time, allowing users and healthcare practitioners to monitor skin health and spot any concerning changes.

Segmentation:

By Type

  • Standalone Ai Systems
  • Ai-Powered Mobile Apps

By Technology

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Natural Language Processing (Nlp)
  • Others

By Application

  • Skin Cancer Diagnosis
  • Acne And Rosacea Diagnosis
  • Psoriasis Diagnosis
  • Eczema Diagnosis
  • Hair And Nail Disorders Diagnosis
  • Others

By End-User

  • Hospitals And Clinics
  • Dermatology Clinics And Centers
  • Research Institutes And Academic Centers
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • 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

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Sources
  • 2.3. Research Design

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porters 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

5. AI IN DERMATOLOGY DIAGNOSIS MARKET, BY TYPE

  • 5.1. Introduction
  • 5.2. STANDALONE AI SYSTEMS
  • 5.3. AI-POWERED MOBILE APPS

6. AI IN DERMATOLOGY DIAGNOSIS MARKET, BY TECHNOLOGY

  • 6.1. Introduction
  • 6.2. MACHINE LEARNING
  • 6.3. DEEP LEARNING
  • 6.4. COMPUTER VISION
  • 6.5. NATURAL LANGUAGE PROCESSING (NLP)
  • 6.6. OTHERS

7. AI IN DERMATOLOGY DIAGNOSIS MARKET, BY APPLICATION

  • 7.1. Introduction
  • 7.2. SKIN CANCER DIAGNOSIS
  • 7.3. ACNE AND ROSACEA DIAGNOSIS
  • 7.4. PSORIASIS DIAGNOSIS
  • 7.5. ECZEMA DIAGNOSIS
  • 7.6. HAIR AND NAIL DISORDERS DIAGNOSIS
  • 7.7. OTHERS

8. AI IN DERMATOLOGY DIAGNOSIS MARKET, BY END-USER

  • 8.1. Introduction
  • 8.2. HOSPITALS AND CLINICS
  • 8.3. DERMATOLOGY CLINICS AND CENTERS
  • 8.4. RESEARCH INSTITUTES AND ACADEMIC CENTERS
  • 8.5. OTHERS

9. AI IN DERMATOLOGY DIAGNOSIS MARKET, BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. United States
    • 9.2.2. Canada
    • 9.2.3. Mexico
  • 9.3. South America
    • 9.3.1. Brazil
    • 9.3.2. Argentina
    • 9.3.3. Others
  • 9.4. Europe
    • 9.4.1. United Kingdom
    • 9.4.2. Germany
    • 9.4.3. France
    • 9.4.4. Italy
    • 9.4.5. Spain
    • 9.4.6. Others
  • 9.5. Middle East and Africa
    • 9.5.1. Saudi Arabia
    • 9.5.2. UAE
    • 9.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. Japan
    • 9.6.2. China
    • 9.6.3. India
    • 9.6.4. South Korea
    • 9.6.5. Indonesia
    • 9.6.6. Taiwan
    • 9.6.7. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Emerging Players and Market Lucrativeness
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Vendor Competitiveness Matrix

11. COMPANY PROFILES

  • 11.1. 3DERM SYSTEMS, INC.
  • 11.2. AIDOC MEDICAL LTD.
  • 11.3. AIDOC
  • 11.4. ARTERYS INC.
  • 11.5. BEIJING INFERVISION TECHNOLOGY CO., LTD.
  • 11.6. BUTTERFLY NETWORK, INC.
  • 11.7. ENLITIC, INC.
  • 11.8. FDNA INC.
  • 11.9. IBM CORPORATION
  • 11.10. MIRADA MEDICAL LIMITED