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1410177

皮膚病診斷領域人工智慧的全球市場：預測（2023-2028）

AI in Dermatology Diagnosis Market - Forecasts from 2023 to 2028

出版日期: 2023年12月18日 | 出版商:

Knowledge Sourcing Intelligence | 英文 145 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

2021年全球皮膚科診斷人工智慧市場規模達101,803,000美元。

皮膚病診斷市場中的人工智慧預計將在整個預測期內穩步成長。皮膚病診斷市場中的人工智慧是一種改變遊戲規則的皮膚病護理方法，利用人工智慧（AI）的潛力來改變皮膚病的診斷和治療。隨著世界範圍內皮膚病發病率的增加，對準確、快速診斷的需求日益成長。人工智慧驅動的皮膚科系統使用先進的演算法來分析大型醫學照片資料庫，從而實現皮膚疾病的快速診斷和分類。這些最尖端科技使皮膚科醫生能夠做出更準確的診斷，從而改善患者的治療效果並制定個人化的治療策略。隨著AI技術的進步，皮膚科診斷領域的AI市場可望大幅上升，為改善皮膚科治療、擴大皮膚病管理邊界提供有效途徑。

皮膚病盛行率的增加將推動人工智慧在皮膚病診斷市場的成長。

由於世界各地皮膚病發病率的不斷增加，皮膚病診斷領域的人工智慧市場正在迅速擴大。據世界衛生組織 (WHO) 稱，皮膚病困擾著數百萬人，在任何特定時間約有 9 億人患有皮膚病。痤瘡、乾癬、皮膚癌等是嚴重的健康問題，需要準確快速的診斷。由人工智慧驅動的皮膚科解決方案透過分析大量醫學照片資料庫並幫助皮膚科醫生做出更準確的診斷來滿足這一需求。隨著皮膚病盛行率的增加，對人工智慧皮膚科診斷的需求也隨之增加，推動了人工智慧在皮膚科診斷市場的成長。

皮膚科診斷市場對AI高效、準確診斷的需求不斷成長。

由於對高效、準確診斷的需求不斷增加，皮膚科診斷領域的人工智慧市場正在迅速擴大。提高診斷效率並最大限度地縮短正確評估所需時間的願望推動了對人工智慧驅動的皮膚科解決方案的需求。人工智慧系統可以快速且準確地分析大量醫學照片，幫助檢測各種皮膚疾病。隨著醫療保健專業人員和患者尋求準確、快速的診斷，人工智慧在皮膚病診斷中的使用預計將迅速增加。

遠端醫療和遠距皮膚科服務的普及將擴大人工智慧在皮膚科診斷領域的市場規模。

由於遠端醫療和遠距皮膚科服務的使用越來越多，皮膚科診斷領域的人工智慧市場正在迅速擴大。人工智慧驅動的皮膚科解決方案與遠端醫療系統的整合使皮膚科醫生能夠遠端分析皮膚問題、進行檢查並為患者提供隨時隨地的快速診斷。遠距皮膚科服務的簡單性和可近性，以及人工智慧幫助正確診斷的潛力，正在推動人工智慧在皮膚科診斷中的使用，並改善世界各地患者獲得專業皮膚科治療的機會。

北美是皮膚病診斷領域人工智慧的市場領導者。

北美已成為皮膚病診斷市場人工智慧的市場領導者。該地區處於領先地位的原因有很多，包括完善的醫療基礎設施、新技術的廣泛使用以及人工智慧研發的大量支出。北美擁有許多專門從事人工智慧主導的皮膚科解決方案的重要公司和新興企業，支援產品創新和市場擴張。此外，該地區皮膚病發病率的增加以及對快速準確的皮膚病診斷的需求不斷成長也刺激了人工智慧皮膚病解決方案的採用。該地區對技術突破的重視和對改善皮膚病治療的奉獻正在推動其走在皮膚病診斷市場人工智慧的前沿。

人工智慧在皮膚病診斷市場中擴大皮膚病治療機會的潛力。

由於人工智慧能夠擴大皮膚科治療的覆蓋範圍，皮膚科診斷市場中的人工智慧正在迅速擴大。根據發表在《皮膚病學研究雜誌》上的一項研究，人工智慧演算法在識別皮膚癌方面的診斷準確率高達 95%，與皮膚科醫生的診斷準確率相當。人工智慧驅動的皮膚科解決方案可以彌合皮膚科醫生和弱勢社區之間的差距，改善獲得優質護理的機會。據世界衛生組織 (WHO) 稱，低收入國家 30% 以上的皮膚病被誤診或未治療。人工智慧遠端執行高效、準確診斷的能力可以使皮膚科護理民主化，使農村和服務欠缺地區的患者能夠獲得快速、準確的診斷，這是實現這一目標的可行工具。

主要進展：

2021年12月，Canfield Scientific在收購Medici Medical Srl後宣布成立Canfield Scientific Srl，成功進軍歐洲皮膚科和美容影像產業。多年來，Medici Medical 為皮膚鏡檢查領域的各種進步做出了貢獻，開發了一流的設備，並成為義大利皮膚科醫生的最愛。 2022年4月，全球醫療人工智慧（AI）企業VUNO與梅奧診所達成研究合作。這項研究合作由 VUNO 執行長 Lee Yeha 簽署，將使兩個組織能夠增強人工智慧驅動的精準腫瘤學技術並提供精準腫瘤學治療。透過這項研究合作夥伴關係，VUNO 將與 Mayo Clinic 合作創建新穎的人工智慧和機器學習解決方案，以實現更準確的癌症診斷、預後預測和治療分層。這項合作研究夥伴關係將 VUNO 的 AI 研究和開發技能與 Mayo Clinic 的 AI 研究、臨床知識和資源相結合，創建廣泛的預測和預後生物標記，以指導治療決策並加強對癌症患者的護理。

企業產品

皮膚科影像軟體： 3Derm 提供與 AI 演算法結合的卓越成像軟體。該程式透過分析和解釋皮膚病的醫學照片，幫助皮膚科醫生建立準確有效的診斷。
皮膚科遠端醫療解決方案： Canfield 的人工智慧遠端醫療技術可以提供遠端諮詢和虛擬皮膚檢查。皮膚科醫生可以從任何地方存取患者資料、照片和人工智慧生成的見解，為患者提供更快、更個人化的護理。
MoleScope 皮膚科設備： MoleScope 可能會提供配備高解析度相機的專用皮膚鏡設備，可拍攝痣和皮膚異常的詳細圖片。人工智慧演算法可以分析這些照片並幫助早期診斷可能的皮膚癌。
用於病患監測的行動應用程式： SkinIO 可能會提供一個行動應用程式，允許用戶經常拍攝和提交其皮膚照片。該應用程式的人工智慧技術記錄了痣和病變隨時間的變化，使用戶和醫療保健專業人員能夠監測皮膚健康並發現任何可能令人擔憂的變化。

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

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