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市场调查报告书
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1604499

皮肤病诊断领域人工智慧 (AI) 的全球市场：预测（2024-2029 年）

Artificial Intelligence (AI) In Dermatology Diagnosis Market - Forecasts from 2024 to 2029
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

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简介目录

皮肤科诊断领域人工智慧（AI）的全球市场规模预计将以 25.43% 的复合年增长率成长，从 2024 年的 203,208,000 美元市场规模到 2029 年达到 630,883,000 美元。

利用人工智慧的皮肤病诊断服务的需求预计将稳定成长。皮肤科诊断中的人工智慧有望改变皮肤科服务，人工智慧将有望应用于皮肤科疾病的诊断和治疗。随着世界各地皮肤病的增加，情况正在恶化，增加了对快速、准确诊断的需求。由人工智慧技术支援的皮肤科系统透过复杂的演算法探索大量的医学影像储存库，以更快、更有效地诊断和分类皮肤问题。这些技术使皮肤科医生能够提供更准确的诊断，改进治疗方法，并成功地为个别患者提供个人化的医疗保健。随着技术发展不断升级，皮肤科诊断对人工智慧的需求预计将呈指数级增长，为皮肤科服务提供更好的治疗选择，扩大皮肤病的管理范围。

皮肤科诊断市场人工智慧（AI）的驱动因素：

  • 皮肤病盛行率的增加推动了皮肤病诊断市场中人工智慧的成长

由于全球皮肤相关问题的日益普遍，皮肤病诊断领域的人工智慧市场正在显着增长。正如世界卫生组织 (WHO) 指出的那样，皮肤病影响着大多数人的生活，估计在任何特定时间都有 9 亿人患有皮肤病。痤疮、干癣和恶性皮肤肿瘤等健康状况是严重的公共卫生问题，需要准确、及时的诊断。透过使用皮肤病学人工智慧来分析大量临床照片，像这样的先进皮肤病学解决方案可以帮助医疗保健专业人员制定更准确的诊断。随着皮肤病发病率的不断增加，基于人工智慧的皮肤病治疗的关注度将继续显着增长，推动人工智慧在皮肤病诊断市场的成长。

皮肤病诊断人工智慧（AI）市场的地理展望

  • 北美在预测期内将经历指数级增长

该地区领先世界的原因有很多，包括发达的医疗保健系统、高度移动的技术以及对人工智慧的高投资。北美是许多现有企业和新参与企业的所在地，他们开发基于人工智慧的皮肤科解决方案，推动创新并扩大市场规模。此外，该地区皮肤病患病率不断上升，以及对快速、准确的皮肤病诊断的需求不断增长，也促使人工智慧解决方案在皮肤病学中得到更多采用。由于专注于技术进步和加强皮肤病治疗的努力，北美在皮肤病诊断市场的人工智慧领域占据主导地位。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖关键和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业和其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何塑造未来市场发展。
  • 可行的建议：利用洞察力做出策略决策，以在动态环境中发现新的业务流和收益。
  • 受众广泛：对于新兴企业、研究机构、顾问、中小企业和大型企业有用且具有成本效益。

它有什么用？

产业与市场考量、商机评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开发、竞争影响

调查范围

  • 2022年至2029年的过往资料和预测
  • 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、策略和市场占有率分析
  • 区域收益成长和预测分析，包括细分市场和国家
  • 公司简介（主要是策略、产品、财务资讯、主要动态等）

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
  • 相关利益者的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

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

第五章皮肤科诊断人工智慧（AI）市场：按类型

  • 介绍
  • 独立人工智慧系统
  • 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（AI）市场：依技术分类

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

第七章皮肤科诊断中的人工智慧（AI）市场：按应用分类

  • 介绍
  • 皮肤癌的诊断
  • 痤疮和酒糟的诊断
  • 干癣的诊断
  • 湿疹的诊断
  • 头髮和指甲疾病的诊断
  • 其他的

第八章皮肤科诊断中的人工智慧（AI）市场：按最终用户划分

  • 介绍
  • 医院和诊所
  • 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（AI）市场：按地区

  • 介绍
  • 北美洲
    • 按类型
    • 依技术
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 南美洲
    • 按类型
    • 依技术
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 欧洲
    • 按类型
    • 依技术
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 中东/非洲
    • 按类型
    • 依技术
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 亚太地区
    • 按类型
    • 依技术
    • 按用途
    • 按最终用户
    • 按国家/地区

第十章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 併购/协议/合作
  • 竞争对手仪表板

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 Artificial Intelligence (AI) in the dermatology diagnosis market is expected to grow at a CAGR of 25.43%, reaching a market size of US$630.883 million in 2029 from US$203.208 million in 2024.

The demand for AI-based dermatology diagnosis services is expected to grow steadily. AI in dermatology diagnosis is set to transform dermatological services, i.e., AI will be applied to diagnose and treat dermatological conditions. The situation becomes worse as skin diseases are rising worldwide, thus increasing the demand for quick and precise diagnosis. Dermatological systems that use AI technology explore vast repositories of medical images through sophisticated algorithms for faster and more effective diagnosis and classification of skin issues. These technologies enable dermatologists to provide more accurate diagnoses, enhancing treatment methods and successful healthcare results tailored to individual patients. As technological developments escalate, the demand for AI in dermatology diagnosis is expected to grow tremendously, offering a better treatment option for dermatological services and increasing the management scope of skin diseases.

Artificial Intelligence (AI) in Dermatology Diagnosis Market Drivers:

  • Increasing prevalence of skin disorders enhances the AI in dermatology diagnosis market growth

The market for AI in dermatology diagnosis is growing significantly due to the increased prevalence of skin-related issues globally. Skin disorders, as the World Health Organisation (WHO) points out, affect the lives of most people, and an estimated 900 million people have skin diseases at any time. Health conditions like acne, psoriasis, and malignant skin tumors are serious public health issues and require an accurate and timely diagnosis. Using AI in dermatology to analyze large amounts of clinical photographs, such advanced dermatological solutions assist healthcare experts in formulating a more accurate diagnosis. With the rising occurrence of skin disorders, the emphasis on AI-based dermatology therapeutics will continue to grow significantly, boosting the AI in dermatology diagnosis market growth.

Artificial Intelligence (AI) in Dermatology Diagnosis Market Geographical Outlook

  • North America is witnessing exponential growth during the forecast period

This region is the global leader for several reasons, such as well-developed healthcare systems, highly mobile technology, and high investments in AI. North America has remained home to many established players and new entrants who develop AI-based dermatological solutions that promote innovation and increase the market size. In addition, the rising prevalence of skin diseases in the region and the growing demand for quick and accurate dermatological diagnosis have contributed to the increasing adoption of AI solutions in dermatology. North America's focus on technological advancements and commitment to the enhancement of dermatological care has subjugated the region in the AI in dermatology diagnosis market.

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 2029
  • 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 dermatology diagnosis market is segmented and analyzed as follows:

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
  • 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 DERMATOLOGY DIAGNOSIS MARKET BY TYPE

  • 5.1. Introduction
  • 5.2. Standalone AI Systems
  • 5.3. AI-Powered Mobile Apps

6. ARTIFICIAL INTELLIGENCE (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. ARTIFICIAL INTELLIGENCE (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. ARTIFICIAL INTELLIGENCE (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. ARTIFICIAL INTELLIGENCE (AI) IN DERMATOLOGY DIAGNOSIS MARKET BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. By Type
    • 9.2.2. By Technology
    • 9.2.3. By Application
    • 9.2.4. BY End-User
    • 9.2.5. By Country
      • 9.2.5.1. United States
      • 9.2.5.2. Canada
      • 9.2.5.3. Mexico
  • 9.3. South America
    • 9.3.1. By Type
    • 9.3.2. By Technology
    • 9.3.3. By Application
    • 9.3.4. BY End-User
    • 9.3.5. By Country
      • 9.3.5.1. Brazil
      • 9.3.5.2. Argentina
      • 9.3.5.3. Others
  • 9.4. Europe
    • 9.4.1. By Type
    • 9.4.2. By Technology
    • 9.4.3. By Application
    • 9.4.4. BY End-User
    • 9.4.5. By Country
      • 9.4.5.1. United Kingdom
      • 9.4.5.2. Germany
      • 9.4.5.3. France
      • 9.4.5.4. Italy
      • 9.4.5.5. Spain
      • 9.4.5.6. Others
  • 9.5. Middle East and Africa
    • 9.5.1. By Type
    • 9.5.2. By Technology
    • 9.5.3. By Application
    • 9.5.4. BY End-User
    • 9.5.5. By Country
      • 9.5.5.1. Saudi Arabia
      • 9.5.5.2. UAE
      • 9.5.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. By Type
    • 9.6.2. By Technology
    • 9.6.3. By Application
    • 9.6.4. BY End-User
    • 9.6.5. By Country
      • 9.6.5.1. Japan
      • 9.6.5.2. China
      • 9.6.5.3. India
      • 9.6.5.4. South Korea
      • 9.6.5.5. Indonesia
      • 9.6.5.6. Taiwan
      • 9.6.5.7. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Market Share Analysis
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Competitive Dashboard

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