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AI Personalized Skincare

AI personalized skincare uses skin images and user data to tailor product recommendations, routines or formulations. Explore the companies, research, methods and applications shaping this field.

Updated 2 November 2026Based on 7,459 documents
42
Organizations active (24 mo)
-35% activity YoY
2
Startups (young or venture-backed)
10
Funding rounds (24 mo)
$2.4B disclosed
60
Publications in 2025
+76% vs 2024

AI personalized skincare in 2026: overview

AI personalized skincare applies artificial intelligence to skin images, user profiles or biological data to tailor recommendations and care. It matters because skin needs vary, while a single image or questionnaire can miss changes over time, differences in skin characteristics and individual responses to products. The field is moving beyond one-off product matching toward more contextual assessment, with machine learning linked to skin condition, lifestyle and, increasingly, molecular information.

Recent research points to richer inputs and more careful validation. In September 2026, a study linked age-adjusted machine learning with facial skin microbes associated with skin quality; an August 2026 review examined multi-omics and AI for precision skincare. Work on consumer selfies also highlights capture conditions as a factor in profiling, while a September 2026 patent describes a cartridge-based skincare device connected to user skin-condition data. Commercial activity includes DreamSkin’s March 2026 launch for melanin-rich skin. Together, these efforts point toward adaptive, data-informed routines, while raising practical questions about image quality, demographic representation and whether recommendations deliver measurable benefits.

  • 1Richer skin signals: Researchers are extending personalization beyond facial images and questionnaires to include skin microbes and multi-omics data.
  • 2Personalization over time: Adaptive routines and connected skincare devices point toward recommendations that respond to changing skin conditions rather than relying on a single scan.
  • 3Validation remains central: Image quality, demographic representation and evidence that recommendations improve outcomes remain important technical and adoption challenges.
Summary generated from Linknovate data on 2 November 2026.

Top organizations working on AI personalized skincare

Ranked by Linknovate activity score · last 24 months

The activity score adds up the relevance of every patent, publication, grant and news item linking an organization to AI personalized skincare. Showing 7 of 42 organizations.

#OrganizationApproachSignals (24 mo)MomentumWhy it matters
1
L'Oréal Corporate · France
Image-based skin assessment PUB 5 · NEWS 156 -29% L’Oréal applies computer vision and AI to facial and skin analysis, using digital assessments to guide personalized beauty and skincare recommendations.
2
Shiseido Corporate · Japan
Longitudinal adaptive personalization NEWS 154 -19% Shiseido has developed AI-enabled skincare personalization that uses skin-condition information to tailor product recommendations and care routines.
3
OF One Forecast Corporate
General NEWS 217 -10%
4
IBM Corporate · United States
General NEWS 165 -71%
5
Samsung Corporate · South Korea
General NEWS 178 -58%
6
Persistence Market Research Pvt. Ltd Corporate · United States
General NEWS 189 -74%
7
iCharts Corporate · United States
General NEWS 228 +135%
8
··Hidden organizationCompany
ApproachPAT 00 · PUB 00
GRANTS 0 · NEWS 00
+00%Available to registered users.
9
··Hidden organizationCompany
ApproachPAT 00 · PUB 00
GRANTS 0 · NEWS 00
+00%Available to registered users.
10
··Hidden organizationCompany
ApproachPAT 00 · PUB 00
GRANTS 0 · NEWS 00
+00%Available to registered users.
+35 more organizations
Including 2 startups and 30 universities & research centers. Filter by country, approach and maturity.

Startups to watch and leading research centers

Startups to watch 2 total

Young and venture-backed companies with the highest activity score.
  • N
    NomigeBelgiumNomige offers customized facial-care products using customers’ DNA and lifestyle information, matching personal characteristics to tailored skincare.
See all 2 startups, with funding and founding year

Leading research institutions 30 total

Ranked by publications, patents, grants and news in the last 24 months.
  • Karpagam UniversityIndiaKarpagam University researchers have developed AI skincare-assessment systems that analyze facial images for concerns such as acne and oiliness and provide tailored guidance.
  • KI
    Karunya Institute of TechnologyandSciencesIndiaKarunya Institute researchers are developing computer-vision systems that assess facial skin, including acne and oiliness, and connect image-based analysis with personalized recommendations.
  • University of California at Los AngelesUnited StatesUCLA researchers evaluated a machine-learning skincare recommendation for mild-to-moderate acne in an eight-week randomized controlled trial.
  • ··
    Hidden research institutionCountryAvailable to registered users, with their key researchers.
  • ··
    Hidden research institutionCountryAvailable to registered users, with their key researchers.
See all research groups and their key researchers

Where AI personalized skincare innovation happens

United States
80.8%
United Kingdom
28.6%
Germany
27.0%
Japan
23.2%
India
20.1%
France
18.6%
Switzerland
17.9%
China
15.9%
Canada
11.9%
South Korea
11.7%
Rest of worldEurope

Share of documents with at least one organization from each country.

Open the interactive map with all 42 organizations

Main technical approaches

Last 24 months
ApproachWhat it isDocumentsLeading organizations
Image-based skin assessmentComputer vision estimates visible skin attributes from images; results depend on capture quality, lighting and representative training data. 232
Google, Microsoft, IBM
Profile and questionnaire recommendersThese systems match user-reported needs and preferences to products or routines; they are easy to deploy but depend on accurate, complete answers. 1,707
Procter and Gamble, Unilever, Johnson & Johnson
Longitudinal adaptive personalizationThis approach updates recommendations as skin-condition data changes; its value depends on reliable repeated measurements and user engagement. 100
Earthcheck, Evt Gmbh, Thredbo Resort Centre Pty. Limited
Conversational beauty assistantsNatural-language tools help users interpret concerns and product information; convenience must be balanced with reliable, bounded advice. 392
Google, Procter and Gamble, Unilever
Customized product formulationFormulation systems tailor products to individual profiles; customization adds complexity to manufacturing and requires evidence that the match is useful. 142
Procter and Gamble, Coty, Estee Lauder

Funding and investment

$2.4B
Disclosed private funding, 10 rounds in the last 24 months
$3.4M
Public grant funding since 2020, across 1 grants
2
Startups active in the last 24 months

Recent funding rounds

Jan 2026
L'Oréal France
$383MProject, Real State, Infrastructure Finance
Nov 2025
L'Oréal France
$63.2MProject, Real State, Infrastructure Finance
Month 20XX
Hidden organization Country · investors
$00MSeries X
Month 20XX
Hidden organization Country · investors
$00MSeries X
See all 10 rounds, with investors and amounts

FACTS records 10 funding rounds totaling $2.38 billion, but the listed entries include infrastructure and institutional financing, so this should not be read as dedicated AI-skincare investment. It also records one grant worth $3,447,840 since 2020.

Patent landscape

Top patent holders · last 24 months
Sephora USA, Inc
2
ENTERTAKE CO., LTD.
2
Pbs Consulting
1
Cosnetix, Llc
1
SkinMinds Derma Private Limited
1
See every patent holder and their full portfolio

Recent developments

Latest news, duplicates removed
Get alerts for new AI personalized skincare developments

Frequently asked questions about AI personalized skincare

What companies are working on AI personalized skincare?

L’Oréal and Shiseido are named companies working on AI-enabled skin assessment and personalized care. L’Oréal applies computer vision to facial and skin analysis, while Shiseido uses skin-condition information to tailor recommendations and routines. Procter and Gamble, Unilever, Johnson & Johnson, Estee Lauder and Coty also appear among the organizations associated with recommendation, conversational-assistant or formulation approaches.

Which AI personalized skincare startups are the most promising in 2026?

Nomige, Detail, Revieve Oy and CareCare are named startups in the available data, but the evidence does not support ranking them as the most promising. Nomige is associated with customized facial-care products informed by DNA and lifestyle data. Detail, Revieve Oy and CareCare appear in the organization list, with activity primarily recorded as news rather than patents or publications.

Which universities and research centers lead AI personalized skincare research?

University of California at Los Angeles, Karpagam University and Karunya Institute of TechnologyandSciences are named research organizations. UCLA researchers evaluated a machine-learning skincare recommendation for mild-to-moderate acne. Karpagam University and Karunya Institute researchers are associated with image-based assessment of concerns such as acne and oiliness, linked to tailored guidance.

How much funding has AI personalized skincare received?

The data records 10 funding rounds totaling $2.38 billion and one grant worth $3,447,840 since 2020. These totals include entries such as infrastructure financing and institutional funding, so they should not be interpreted as investment dedicated to AI personalized skincare. The figures are best treated as broad funding signals associated with the topic, not a clean sector-specific total.

Who holds the most AI personalized skincare patents?

Sephora USA, Inc and ENTERTAKE CO., LTD. are the leading named patent holders, with two patents each. Other listed holders include Pbs Consulting, Cosnetix, Llc and SkinMinds Derma Private Limited, with one patent each. These counts identify organizations associated with the patents; they do not establish the commercial importance or technical quality of the inventions.

Is AI personalized skincare patent activity growing?

Patent activity declined 57.1% in the last 12 months compared with the previous 12 months, while 10 patents fall within the 24-month window. The overall direction is therefore down in the latest annual comparison. Recent work still includes new technical directions, such as ENTERTAKE CO., LTD.’s September 2026 patent for a cartridge-based skincare device linked to user skin-condition information.

How mature is AI personalized skincare?

AI personalized skincare has commercial applications, but its evidence base and technical maturity vary by approach. The data records 60 publications in 2025, with publication activity growing 76.5%, while patent activity declined 57.1% in the latest annual comparison. Image assessment and recommendation tools are established directions; longitudinal adaptation and multi-omics integration point to further development.

What are the latest developments in AI personalized skincare?

Recent developments include a September 2026 study of age-adjusted machine learning and facial skin microbes, an August 2026 review of multi-omics and AI, and a September 2026 cartridge-based device patent from ENTERTAKE CO., LTD. In March 2026, DreamSkin launched an AI skincare platform focused on melanin-rich skin. These examples span research, connected devices and consumer-facing services.

What are the applications of AI personalized skincare?

Applications include at-home skincare (536 documents), beauty e-commerce and retail (315), salons and spas (246), and dermatology and medical aesthetics (63). At-home tools can support personal routines, while retail systems help guide product selection. Salons and spas are another active application area; medical and aesthetic uses connect skin assessment with professional settings.

What are the main approaches in AI personalized skincare and how do they differ?

The five approaches are image-based skin assessment, profile and questionnaire recommenders, longitudinal adaptive personalization, conversational beauty assistants and customized product formulation. Profile and questionnaire systems have 1,707 associated documents, while image assessment has 232. They differ in their inputs and outputs: from interpreting a scan or user profile to updating routines over time, answering questions or tailoring formulations.

Which countries lead AI personalized skincare?

The United States leads the listed country activity with 6,025 documents, followed by the United Kingdom with 2,131, Germany with 2,014 and Japan with 1,729. Country tags can overlap, so these counts should not be added to estimate a global total. The figures describe recorded document activity, not necessarily where products are manufactured or sold.

Go beyond the top 7

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