AI In Dermatology Diagnosis Market Size, Share, Opportunities, And Trends 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), And By Geography - Forecasts From 2023 To 2028
- Published : Aug 2023
- Report Code : KSI061615853
- Pages : 145
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. According to research published in JAMA Dermatology, AI algorithms outperformed dermatologists in recognising skin cancer, with diagnosis accuracy ranging from 77% to 86.6%. 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. According to the American Academy of Dermatology, roughly 64% of dermatologists reported using telemedicine to deliver virtual care to patients during the COVID-19 epidemic. 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.
- In December 2021, Canfield Scientific announces 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. Alfredo Medici and his team are celebrating the opening with a special scientific and educational programme called Dreamoscopy, which will give the most advanced learning possibilities in medical imaging at their brand-new, state-of-the-art facility in Spilamberto (Modena), Italy.
- In May 2022, VUNO, a global medical artificial intelligence (AI) business, inked a memorandum of understanding (MOU) with Visual Medica, one of Latin America's (LATAM) major PACS (Picture Archiving and Communication System) companies. Based on Visual Medica's local network in South America, VUNO intends to integrate and jointly market four of the VUNO Med image diagnostic aid AI systems that have received European CE certification. The arrangement includes four VUNO Med® solutions: VUNO Med®-Chest X-RayTM, VUNO Med®-LungCT AITM, VUNO Med®-DeepBrain®, and VUNO Med®-BoneAgeTM.
- In April 2022, VUNO, a global medical artificial intelligence (AI) business, has entered into 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 in order 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.
- 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.
- By Type
- Standalone Ai Systems
- Ai-Powered Mobile Apps
- By Technology
- Machine Learning
- Deep Learning
- Computer Vision
- Natural Language Processing (Nlp)
- By Application
- Skin Cancer Diagnosis
- Acne And Rosacea Diagnosis
- Psoriasis Diagnosis
- Eczema Diagnosis
- Hair And Nail Disorders Diagnosis
- By End-User
- Hospitals And Clinics
- Dermatology Clinics And Centers
- Research Institutes And Academic Centers
- By Geography
- North America
- United States
- South America
- United Kingdom
- Middle East and Africa
- Saudi Arabia
- Asia Pacific
- South Korea
- North America
1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Market Segmentation
1.7. Base, and Forecast Years Timeline
2. RESEARCH METHODOLOGY
2.1. Research Data
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
5.2. STANDALONE AI SYSTEMS
5.3. AI-POWERED MOBILE APPS
6. AI IN DERMATOLOGY DIAGNOSIS MARKET, BY TECHNOLOGY
6.2. MACHINE LEARNING
6.3. DEEP LEARNING
6.4. COMPUTER VISION
6.5. NATURAL LANGUAGE PROCESSING (NLP)
7. AI IN DERMATOLOGY DIAGNOSIS MARKET, BY APPLICATION
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
8. AI IN DERMATOLOGY DIAGNOSIS MARKET, BY END-USER
8.2. HOSPITALS AND CLINICS
8.3. DERMATOLOGY CLINICS AND CENTERS
8.4. RESEARCH INSTITUTES AND ACADEMIC CENTERS
9. AI IN DERMATOLOGY DIAGNOSIS MARKET, BY GEOGRAPHY
9.2. North America
9.2.1. United States
9.3. South America
9.4.1. United Kingdom
9.5. Middle East and Africa
9.5.1. Saudi Arabia
9.6. Asia Pacific
9.6.4. South Korea
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.
11.4. 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
3derm Systems, Inc.
Aidoc Medical Ltd.
Beijing Infervision Technology Co., Ltd.
Butterfly Network, Inc.
Mirada Medical Limited
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