Artificial Intelligence (AI)-Powered Dermatology Lesion Triaging Global Market Report 2025
상품코드:1855795
리서치사:The Business Research Company
발행일:On Demand Report
페이지 정보:영문 250 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
AI 피부 병변 선별 시장 규모는 최근 급격히 확대되고 있습니다. 2024년 8억 5,000만 달러로 평가되었고, 2025년에는 11억 2,000만 달러에 달하고, CAGR 32.3%로 성장할 전망입니다. 역사적인 기간 동안의 성장은 모바일 헬스 용도의 사용 증가, 원격 의료 인프라의 확대, 보다 신속하고 정확한 진단에 대한 수요 증가, 피부과 클리닉의 성장, 피부 건강 및 예방 케어에 대한 의식 증가가 원동력이 되고 있습니다.
AI 피부 병변 선별 시장 규모는 앞으로 수년간 비약적인 성장이 예상됩니다. 2029년에는 CAGR 31.9%로 34억 달러로 성장할 것으로 예상됩니다. 예측기간의 성장은 피부암의 유병률 상승, 조기 진단에 대한 의식 증가, 맞춤형 의료 수요, 헬스케어 디지털화의 진전, 헬스케어 AI 신흥기업 투자 증가 등에 지지되고 있습니다. 이 기간의 주요 동향에는 실시간 병변 분석의 진전, 예측 피부과 모델의 혁신, 전자 의료 기록과 AI의 통합, 모바일 기반 피부 평가 도구의 개발, 개인화 치료 권장 사항의 혁신 등이 포함됩니다.
피부암 유병률 증가가 AI 피부 병변 선별 시장 확대를 촉진할 것으로 예측됩니다. 피부암은 비정상적인 피부세포가 통제불능으로 증식하는 것으로 발생하며, 일반적으로는 태양이나 햇볕침대로부터의 자외선에 의한 데미지가 원인이 됩니다. 피부암 환자 증가는 자외선(UV) 방사선이 피부세포의 DNA를 손상시키는 원인이 되는 일광 노출 증가에 크게 기인하고 있습니다. AI 피부 병변 선별은 의심스러운 피부 병변의 조기 및 정확한 검출을 가능하게 함으로써 피부암에 대한 대처를 지원합니다. 실시간 위험 평가를 제공하여 진단 지연을 줄이고 전문의에게 소개를 간소화하고 임상 의사 결정을 지원하여 궁극적으로 환자 결과를 개선합니다. 예를 들어, 2023년에 Cancer Australia가 보고한 흑색종의 신규 사례 수는 약 8,257건으로, 암 관련 사망 전체의 2.6%를 차지했습니다. 그 결과 피부암의 유병률 상승이 AI 피부 병변 선별 시장의 성장에 박차를 가하고 있습니다.
AI 피부 병변 선별 시장의 주요 기업은 진단 정확도를 높이고 피부암의 조기 발견을 촉진하고 임상 워크플로를 최적화하기 위해 AI 구동 이미지 플랫폼과 같은 고급 솔루션 개발에 주력하고 있습니다. 이 AI 기반 플랫폼은 인공지능 알고리즘을 사용하여 피부 병변을 분석하고 실시간 진단 지원을 제공하며 악성 종양의 위험을 기반으로 사례를 치료할 수 있습니다. 예를 들어 2024년 6월, 미국의 헬스텍 기업인 Enspectra Health Inc.는 AI를 탑재한 차세대 VIO Skin Platform에서 FDA(미국 식품의약국)의 Breakhrough Device Designation을 취득했습니다. 이 플랫폼은 반사형 공초점 현미경과 다광자 레이저 스캐닝 현미경을 결합하여 피부 조직의 비침습적이고 실시간 세포 수준 이미지를 생성합니다. 또한 컴퓨터 지원 진단 및 치료 소프트웨어인 VIO.ai NMSC와 통합하여 고위험 집단에서 기저세포암(BCC) 및 편평상피암(SCC)의 의심스러운 병변의 분류를 지원함으로써 의사의 임상적 의사결정을 돕고 불필요한 생검을 줄일 수 있습니다.
목차
제1장 주요 요약
제2장 시장 특징
제3장 시장 동향과 전략
제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오
제5장 세계의 성장 분석과 전략 분석 프레임워크
세계의 AI 피부 병변 선별 : PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인과 억제요인)
최종 이용 산업의 분석
세계의 AI 피부 병변 선별 시장 : 성장률 분석
세계의 AI 피부 병변 선별 시장 실적 : 규모와 성장, 2019년-2024년
세계의 AI 피부 병변 선별 시장 예측 : 규모와 성장, 2024년-2029년, 2034년
세계의 AI 피부 병변 선별 : 총 잠재 시장 규모(TAM)
제6장 시장 세분화
세계의 AI 피부 병변 선별 시장 : 컴포넌트별, 분석과 예측, 2019년-2024년, 2024년-2029년, 2034년
소프트웨어
하드웨어
서비스
세계의 AI 피부 병변 선별 시장 : 전개 모드별, 분석과 예측, 2019년-2024년, 2024년-2029년, 2034년
클라우드 기반
On-Premise
세계의 AI 피부 병변 선별 시장 : 병변 유형별, 분석과 예측, 2019년-2024년, 2024년-2029년, 2034년
양성
악성
악성화 전
세계의 AI 피부 병변 선별 시장 : 용도별, 분석과 예측, 2019년-2024년, 2024년-2029년, 2034년
피부암 검출
양성 병변 식별
원격 피부과
임상 의사 결정 지원
기타 용도
세계의 AI 피부 병변 선별 시장 : 최종 사용자별, 분석과 예측, 2019년-2024년, 2024년-2029년, 2034년
병원
피부과 클리닉
진단센터
연구기관
기타 최종 사용자
세계의 AI 피부 병변 선별 시장 : 세분화 소프트웨어, 유형별, 분석과 예측, 2019년-2024년, 2024년-2029년, 2034년
영상 분석 소프트웨어
진단 지원 소프트웨어
클라우드 기반 소프트웨어
모바일 애플리케이션 소프트웨어
환자 관리 소프트웨어
세계의 AI 피부 병변 선별 시장 : 세분화 하드웨어, 유형별, 분석과 예측, 2019년-2024년, 2024년-2029년, 2034년
영상 기기
피부경
카메라
컴퓨터
스캐너
세계의 AI 피부 병변 선별 시장 : 세분화 서비스, 유형별, 분석과 예측, 2019년-2024년, 2024년-2029년, 2034년
컨설팅 서비스
구현 서비스
교육 및 훈련 서비스
보수 및 서포트 서비스
데이터 관리 서비스
제7장 지역별/국가별 분석
세계의 AI 피부 병변 선별 시장 : 지역별, 분석과 예측, 2019년-2024년, 2024년-2029년, 2034년
세계의 AI 피부 병변 선별 시장 : 국가별, 분석과 예측, 2019년-2024년, 2024년-2029년, 2034년
제8장 아시아태평양 시장
제9장 중국 시장
제10장 인도 시장
제11장 일본 시장
제12장 호주 시장
제13장 인도네시아 시장
제14장 한국 시장
제15장 서유럽 시장
제16장 영국 시장
제17장 독일 시장
제18장 프랑스 시장
제19장 이탈리아 시장
제20장 스페인 시장
제21장 동유럽 시장
제22장 러시아 시장
제23장 북미 시장
제24장 미국 시장
제25장 캐나다 시장
제26장 남미 시장
제27장 브라질 시장
제28장 중동 시장
제29장 아프리카 시장
제30장 경쟁 구도와 기업 프로파일
AI 피부 병변 선별 시장 : 경쟁 구도
AI 피부 병변 선별 시장 : 기업 프로파일
Proscia Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석
Aysa Hospitality : 개요, 제품 및 서비스, 전략 및 재무 분석
SkinVision BV : 개요, 제품 및 서비스, 전략 및 재무 분석
MetaOptima Technology Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석
SkinIO Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석
제31장 기타 주요 기업 및 혁신 기업
Skin Analytics Ltd.
DermaSensor Inc.
Dxcover Ltd.
Skinive
Legit.Health
Veriskin
VivoSight
BelleTorus
First Derm
CureSkin
Skinopathy
DermLens AI
Enspectra Health Inc.
Dermie.AI
ImageBiopsy Lab GmbH
제32장 세계 시장 경쟁 벤치마킹과 대시보드
제33장 주요 인수합병(M&A)
제34장 최근 시장 동향
제35장 시장의 잠재력이 높은 국가, 부문, 전략
AI 피부 병변 선별 시장 2029년 : 새로운 기회를 제공하는 국가
AI 피부 병변 선별 시장 2029년 : 새로운 기회를 제공하는 부문
AI 피부 병변 선별 시장 2029년 : 성장 전략
시장 동향에 기초한 전략
경쟁 전략
제36장 부록
SHW
영문 목차
영문목차
Artificial intelligence (AI)-powered dermatology lesion triaging involves using AI algorithms and machine learning models to automatically evaluate and prioritize skin lesions according to their malignancy risk or severity. This technology allows clinicians to detect potentially serious conditions more quickly and optimize patient management. It integrates image analysis, pattern recognition, and clinical data to enhance efficiency in dermatological decision-making.
The primary components of AI-powered dermatology lesion triaging include software, hardware, and services. The software consists of AI-driven platforms and applications for automated analysis, classification, and triaging of skin lesions. These solutions can be deployed on-premises or via cloud-based systems and are used for lesion types such as benign, malignant, and pre-malignant. Applications include skin cancer detection, benign lesion identification, teledermatology, clinical decision support, and related uses, serving hospitals, dermatology clinics, diagnostic centers, research institutes, and other key end users.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
The sudden escalation of U.S. tariffs and the consequent trade frictions in spring 2025 are severely impacting the healthcare sector, particularly in the supply of critical medical devices, diagnostic equipment, and pharmaceuticals. Hospitals and healthcare providers are facing higher costs for imported surgical instruments, imaging equipment, and consumables such as syringes and catheters, many of which have limited domestic alternatives. These increased costs are straining healthcare budgets, leading some providers to delay equipment upgrades or pass on expenses to patients. Additionally, tariffs on raw materials and components are disrupting the production of essential drugs and devices, causing supply chain bottlenecks. In response, the industry is diversifying sourcing strategies, boosting local manufacturing where possible, and advocating for tariff exemptions on life-saving medical products.
The artificial intelligence (AI)-powered dermatology lesion triaging market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI)-powered dermatology lesion triaging market statistics, including the artificial intelligence (AI)-powered dermatology lesion triaging industry global market size, regional shares, competitors with the artificial intelligence (AI)-powered dermatology lesion triaging market share, detailed artificial intelligence (AI)-powered dermatology lesion triaging market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-powered dermatology lesion triaging industry. This artificial intelligence (AI)-powered dermatology lesion triaging market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The artificial intelligence (AI)-powered dermatology lesion triaging market size has grown exponentially in recent years. It will grow from $0.85 billion in 2024 to $1.12 billion in 2025 at a compound annual growth rate (CAGR) of 32.3%. The growth during the historic period is driven by increasing use of mobile health applications, expansion of telemedicine infrastructure, rising demand for faster and more accurate diagnosis, growth of dermatology clinics, and greater awareness of skin health and preventive care.
The artificial intelligence (AI)-powered dermatology lesion triaging market size is expected to see exponential growth in the next few years. It will grow to $3.40 billion in 2029 at a compound annual growth rate (CAGR) of 31.9%. The projected growth in the forecast period is supported by rising prevalence of skin cancer, growing awareness of early diagnosis, demand for personalized medicine, increasing healthcare digitization, and higher investment in healthcare AI startups. Key trends in this period include advancements in real-time lesion analysis, innovations in predictive dermatology models, integration of AI with electronic health records, development of mobile-based skin assessment tools, and innovations in personalized treatment recommendations.
The growing prevalence of skin cancer is expected to drive the expansion of the artificial intelligence (AI)-powered dermatology lesion triaging market. Skin cancer occurs when abnormal skin cells grow uncontrollably, typically due to damage from ultraviolet radiation from the sun or tanning beds. The rise in skin cancer cases is largely attributed to increased sun exposure, which causes ultraviolet (UV) radiation to damage the DNA in skin cells. AI-powered dermatology lesion triaging helps tackle skin cancer by enabling early and precise detection of suspicious skin lesions. It reduces diagnostic delays by providing real-time risk assessments, streamlines referrals to specialists, and supports clinical decision-making, ultimately improving patient outcomes. For example, in 2023, Cancer Australia reported approximately 8,257 new cases of melanoma, which accounted for 2.6% of all cancer-related deaths. As a result, the rising prevalence of skin cancer is fueling the growth of the AI-powered dermatology lesion triaging market.
Key players in the AI-powered dermatology lesion triaging market are focusing on developing advanced solutions such as AI-driven imaging platforms to enhance diagnostic accuracy, facilitate early detection of skin cancers, and optimize clinical workflows. These AI-powered platforms use artificial intelligence algorithms to analyze skin lesions, provide real-time diagnostic support, and assist in triaging cases based on the risk of malignancy. For instance, in June 2024, Enspectra Health Inc., a US-based health tech company, received Food and Drug Administration (FDA) Breakthrough Device Designation for its next-generation AI-powered VIO Skin Platform. This platform combines reflectance confocal and multiphoton laser scanning microscopy to generate non-invasive, real-time cellular-level images of skin tissues. It also integrates with VIO.ai NMSC, a computer-aided diagnosis and triage software, to help classify lesions suspicious for basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) in high-risk populations, thereby aiding physicians in clinical decision-making and potentially reducing unnecessary biopsies.
In August 2025, Affidea B.V., a Netherlands-based healthcare services company, entered into a partnership with Skin Analytics Ltd. to enhance access to skin cancer assessments. This collaboration aims to leverage AI to accelerate and improve the detection of skin lesions, streamline specialist referrals, and support early diagnosis. Skin Analytics Ltd., a UK-based AI-driven dermatology diagnostics company, specializes in AI-powered skin lesion triaging for the early detection of skin cancer.
Major players in the artificial intelligence (AI)-powered dermatology lesion triaging market are Proscia Inc., Aysa Hospitality, SkinVision B.V., MetaOptima Technology Inc., SkinIO Inc., Skin Analytics Ltd., DermaSensor Inc., Dxcover Ltd., Skinive, Legit.Health, Veriskin, VivoSight, BelleTorus, First Derm, CureSkin, Skinopathy, DermLens AI, Enspectra Health Inc., and Dermie.AI.
North America was the largest region in the artificial intelligence (AI)-powered dermatology lesion triaging market in 2024. The regions covered in artificial intelligence (AI)-powered dermatology lesion triaging report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The countries covered in the artificial intelligence (AI)-powered dermatology lesion triaging market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The artificial intelligence (AI)-powered dermatology lesion triaging market consists of revenues earned by entities by providing services such as automated lesion risk assessment, monitoring and follow-up services, and dermoscopic image analysis services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-powered dermatology lesion triaging market also includes sales of AI-enabled imaging devices, lesion analysis software, cloud-based diagnostic platforms, and integrated clinical decision support systems. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Artificial Intelligence (AI)-Powered Dermatology Lesion Triaging Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on artificial intelligence (ai)-powered dermatology lesion triaging market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Where is the largest and fastest growing market for artificial intelligence (ai)-powered dermatology lesion triaging ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai)-powered dermatology lesion triaging market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:
The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:1) By Component: Software; Hardware; Services
2) By Deployment Mode: Cloud-Based; On-Premises
3) By Lesion Type: Benign; Malignant; Pre-Malignant
4) By Application: Skin Cancer Detection; Benign Lesion Identification; Teledermatology; Clinical Decision Support; Other Applications
5) By End-User: Hospitals; Dermatology Clinics; Diagnostic Centers; Research Institutes; Other End Users
Subsegments:
1) By Software: Image Analysis Software; Diagnostic Support Software; Cloud-Based Software; Mobile Application Software; Patient Management Software
2) By Hardware: Imaging Devices; Dermatoscopes; Cameras; Computers; Scanners
3) By Services: Consulting Services; Implementation Services; Training And Education Services; Maintenance And Support Services; Data Management Services
4. Artificial Intelligence (AI)-Powered Dermatology Lesion Triaging Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market
4.1. Supply Chain Impact from Tariff War & Trade Protectionism
5. Global Artificial Intelligence (AI)-Powered Dermatology Lesion Triaging Growth Analysis And Strategic Analysis Framework
5.1. Global Artificial Intelligence (AI)-Powered Dermatology Lesion Triaging PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
