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市場調查報告書
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1604499

皮膚病診斷領域人工智慧 (AI) 的全球市場：預測（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個工作天內

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簡介目錄

皮膚科診斷領域人工智慧（AI）的全球市場規模預計將以 25.43% 的複合年成長率成長，從 2024 年的 203,208,000 美元市場規模到 2029 年達到 630,883,000 美元。

利用人工智慧的皮膚病診斷服務的需求預計將穩定成長。皮膚科診斷中的人工智慧有望改變皮膚科服務，人工智慧將有望應用於皮膚科疾病的診斷和治療。隨著世界各地皮膚病的增加，情況正在惡化，增加了對快速、準確診斷的需求。由人工智慧技術支援的皮膚科系統透過複雜的演算法探索大量的醫學影像儲存庫，以更快、更有效地診斷和分類皮膚問題。這些技術使皮膚科醫生能夠提供更準確的診斷，改進治療方法，並成功地為個別患者提供個人化的醫療保健。隨著技術發展不斷升級，皮膚科診斷對人工智慧的需求預計將呈指數級成長，為皮膚科服務提供更好的治療選擇，擴大皮膚病的管理範圍。

皮膚科診斷市場人工智慧（AI）的促進因素：

  • 皮膚病盛行率的增加推動了皮膚病診斷市場中人工智慧的成長

由於全球皮膚相關問題的日益普遍，皮膚病診斷領域的人工智慧市場正在顯著成長。正如世界衛生組織 (WHO) 指出的那樣，皮膚病影響著大多數人的生活，估計在任何特定時間都有 9 億人患有皮膚病。痤瘡、乾癬和惡性皮膚腫瘤等健康狀況是嚴重的公共衛生問題，需要準確、及時的診斷。透過使用皮膚病學人工智慧來分析大量臨床照片，像這樣的先進皮膚病學解決方案可以幫助醫療保健專業人員制定更準確的診斷。隨著皮膚病發病率的不斷增加，基於人工智慧的皮膚病治療的關注度將繼續顯著成長，推動人工智慧在皮膚病診斷市場的成長。

皮膚病診斷人工智慧（AI）市場的地理展望

  • 北美在預測期內將經歷指數級成長

該地區領先世界的原因有很多，包括發達的醫療保健系統、高度移動的技術以及對人工智慧的高投資。北美是許多現有企業和新參與企業的所在地，他們開發基於人工智慧的皮膚科解決方案，推動創新並擴大市場規模。此外，該地區皮膚病患病率不斷上升，以及對快速、準確的皮膚病診斷的需求不斷成長，也促使人工智慧解決方案在皮膚病學中得到更多採用。由於專注於技術進步和加強皮膚病治療的努力，北美在皮膚病診斷市場的人工智慧領域佔據主導地位。

為什麼要購買這份報告？

  • 富有洞察力的分析：獲得涵蓋關鍵和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業和其他子區隔。
  • 競爭格局：了解世界主要企業採取的策略策略，並了解透過正確的策略滲透市場的潛力。
  • 市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何塑造未來市場發展。
  • 可行的建議：利用洞察力做出策略決策，以在動態環境中發現新的業務流和收益。
  • 受眾廣泛：對於新興企業、研究機構、顧問、中小企業和大型企業有用且具有成本效益。

它有什麼用？

產業與市場考量、商機評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開發、競爭影響

調查範圍

  • 2022年至2029年的過往資料和預測
  • 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、策略和市場佔有率分析
  • 區域收益成長和預測分析，包括細分市場和國家
  • 公司簡介（主要是策略、產品、財務資訊、主要動態等）

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 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
  • 調查過程

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

第5章皮膚科診斷人工智慧（AI）市場：按類型

  • 介紹
  • 獨立人工智慧系統
  • 人工智慧驅動的行動應用程式

第6章皮膚科診斷人工智慧（AI）市場：依技術分類

  • 介紹
  • 機器學習
  • 深度學習
  • 電腦視覺
  • 自然語言處理（NLP）
  • 其他

第7章皮膚科診斷中的人工智慧（AI）市場：按應用分類

  • 介紹
  • 皮膚癌的診斷
  • 痤瘡和酒糟的診斷
  • 乾癬的診斷
  • 濕疹的診斷
  • 頭髮和指甲疾病的診斷
  • 其他

第8章皮膚科診斷中的人工智慧（AI）市場：按最終用戶分類

  • 介紹
  • 醫院和診所
  • 皮膚科診所中心
  • 研究機構/學術中心
  • 其他

第9章皮膚科診斷人工智慧（AI）市場：按地區

  • 介紹
  • 北美洲
    • 按類型
    • 依技術
    • 按用途
    • 按最終用戶
    • 按國家/地區
  • 南美洲
    • 按類型
    • 依技術
    • 按用途
    • 按最終用戶
    • 按國家/地區
  • 歐洲
    • 按類型
    • 依技術
    • 按用途
    • 按最終用戶
    • 按國家/地區
  • 中東/非洲
    • 按類型
    • 依技術
    • 按用途
    • 按最終用戶
    • 按國家/地區
  • 亞太地區
    • 按類型
    • 依技術
    • 按用途
    • 按最終用戶
    • 按國家/地區

第10章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 併購/協議/合作
  • 競爭對手儀表板

第11章 公司簡介

  • 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
簡介目錄
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