Personalized Skin Care Market By Product Types
Personalized Skin Care Market By Technologies/Platforms
Personalized Skin Care By Market Gender
Personalized Skin Care Market By Distribution Channels
Personalized Skin Care Market By Testing Methods
Global Personalized Skin Care Market Based on Region
Europe Personalized Skin Care Market by Country
North America Personalized Skin Care Market by Country
Asia Pacific Personalized Skin Care Market by Country
Latin America Personalized Skin Care Market by Country
Middle East & Africa Personalized Skin Care Market by Country
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Personalized Skin Care Market Snapshot
Chapter 4. Global Personalized Skin Care Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2034
4.8. Global Personalized Skin Care Market Penetration & Growth Prospect Mapping (US$ Mn), 2023-2034
4.9. Competitive Landscape & Market Share Analysis, By Key Player (2024)
4.10. Use/impact of AI on Radiopharma Industry Trends
Chapter 5. Personalized Skin Care Market Segmentation 1: By Product Types, Estimates & Trend Analysis
5.1. Market Share by Product Types, 2023 & 2034
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 & 2034 for the following Product Types:
5.2.1. Face Care
5.2.2. Body Care
5.2.3. Haircare
5.2.4. Lip Care
5.2.5. Nail Care
5.2.6. Wellness-Focused Skincare (e.g., Ingestible Supplements)
Chapter 6. Personalized Skin Care Market Segmentation 2: By Technologies/Platforms, Estimates & Trend Analysis
6.1. Market Share by Technologies/Platforms, 2023 & 2034
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 & 2034 for the following Technologies/Platforms:
6.2.1. Consultation/Digital Questionnaires
6.2.2. Apps and Specialized Hardware
6.2.3. Home Test Kits
6.2.4. IoT/AI-Based Technologies
Chapter 7. Personalized Skin Care Market Segmentation 3: By Gender, Estimates & Trend Analysis
7.1. Market Share by Gender 2023 & 2034
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 & 2034 for the following Gender:
7.2.1. Female
7.2.2. Male
7.2.3. Gender-Neutral
Chapter 8. Personalized Skin Care Market Segmentation 4: By Distribution Channels, Estimates & Trend Analysis
8.1. Market Share by Distribution Channels, 2023 & 2034
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 & 2034 for the following Distribution Channels:
8.2.1. Online
8.2.2. Offline
8.2.3. Hybrid
Chapter 9. Personalized Skin Care Market Segmentation 5: By Testing Methods, Estimates & Trend Analysis
9.1. Market Share by Testing Methods, 2023 & 2034
9.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 & 2034 for the following Testing Methods:
9.2.1. DNA-Based Testing
9.2.2. Skin Analysis (Non-DNA)
9.2.3. Quizzes/Questionnaires
9.2.4. Blood Tests
9.2.5. Microbiome Analysis
Chapter 10. Personalized Skin Care Market Segmentation 6: Regional Estimates & Trend Analysis
10.1. Global Personalized Skin Care Market, Regional Snapshot 2023 & 2034
10.2. North America
10.2.1. North America Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.2.1.1. US
10.2.1.2. Canada
10.2.2. North America Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Product Types, 2021-2034
10.2.3. North America Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Technologies/Platforms, 2021-2034
10.2.4. North America Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Gender 2021-2034
10.2.5. North America Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Distribution Channels, 2021-2034
10.2.6. North America Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Testing Methods, 2021-2034
10.3. Europe
10.3.1. Europe Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.3.1.1. Denmark
10.3.1.2. Finland
10.3.1.3. Austria
10.3.1.4. France
10.3.1.5. Germany
10.3.1.6. Israel
10.3.1.7. Italy
10.3.1.8. Netherlands
10.3.1.9. Norway
10.3.1.10. Poland
10.3.2. Europe Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Product Types, 2021-2034
10.3.3. Europe Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Technologies/Platforms, 2021-2034
10.3.4. Europe Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Gender 2021-2034
10.3.5. Europe Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Distribution Channels, 2021-2034
10.3.6. Europe Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Testing Methods, 2021-2034
10.4. Asia Pacific
10.4.1. Asia Pacific Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.4.1.1. Australia
10.4.1.2. China
10.4.1.3. India
10.4.1.4. Indonesia
10.4.1.5. Japan
10.4.1.6. Malaysia
10.4.1.7. Philippines
10.4.1.8. Singapore
10.4.1.9. South Korea
10.4.1.10. Taiwan
10.4.1.11. Thailand
10.4.1.12. Rest of APAC
10.4.2. Asia Pacific Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Product Types, 2021-2034
10.4.3. Asia Pacific Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Technologies/Platforms, 2021-2034
10.4.4. Asia Pacific Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts By Gender 2021-2034
10.4.5. Asia Pacific Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Distribution Channels, 2021-2034
10.4.6. Asia Pacific Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Testing Methods, 2021-2034
10.5. Latin America
10.5.1. Latin America Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.5.1.1. Argentina
10.5.1.2. Brazil
10.5.1.3. Mexico
10.5.1.4. Rest of LATAM
10.5.2. Latin America Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Product Types, 2021-2034
10.5.3. Latin America Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Technologies/Platforms, 2021-2034
10.5.4. Latin America Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Gender 2021-2034
10.5.5. Latin America Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Distribution Channels, 2021-2034
10.5.6. Latin America Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Testing Methods, 2021-2034
10.6. Middle East & Africa
10.6.1. Middle East & Africa Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
10.6.1.1. Egypt
10.6.1.2. Israel
10.6.1.3. Nigeria
10.6.1.4. Saudi Arabia
10.6.1.5. Qatar
10.6.1.6. United Arab Emirates
10.6.1.7. Rest of MEA
10.6.2. Middle East & Africa Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Product Types, 2021-2034
10.6.3. Middle East & Africa Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Technologies/Platforms, 2021-2034
10.6.4. Middle East & Africa Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Gender 2021-2034
10.6.5. Middle East & Africa Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Distribution Channels, 2021-2034
10.6.6. Middle East & Africa Personalized Skin Care Market Revenue (US$ Million) Estimates and Forecasts by Testing Methods, 2021-2034
Chapter 11. Competitive Landscape
11.1. Major Mergers and Acquisitions/Strategic Alliances
11.2. Company Profiles
11.2.1. L’Oréal
11.2.1.1. Business Overview
11.2.1.2. Key Product/Service
11.2.1.3. Financial Performance
11.2.1.4. Modeance
11.2.1.5. Geographical Presence
11.2.1.6. Recent Developments with Business Strategy
11.2.2. Pattern Beauty by Tracee Ellis Ross
11.2.3. Estée Lauder
11.2.4. Procter & Gamble
11.2.5. Shiseido
11.2.6. Beiersdorf
11.2.7. Sephora USA, Inc.
11.2.8. Coty Inc.
11.2.9. Unilever
11.2.10. Clarins
11.2.11. AmorePacific
11.2.12. Cosmax
11.2.13. Givaudan
11.2.14. Orbis
11.2.15. Symrise
11.2.16. The Estée Lauder Companies Inc.
11.2.17. Newly Entered Companies/Startups
11.2.18. Perfect Corp
11.2.19. Revieve
11.2.20. Skin Match
11.2.21. Haut.AI
11.2.22. Proven Skincare
11.2.23. Blank Beauty
11.2.24. FTI Foodtech
11.2.25. DCYPHER
11.2.26. EpigenCare Inc.
11.2.27. Luna Fofo (FOREO)
11.2.28. Anua
11.2.29. FaceGym
11.2.30. Lilac St.
11.2.31. Lush
11.2.32. My Beauty Matches
11.2.33. New Kinpo Group
11.2.34. Nioxin
11.2.35. Pure & Mine
11.2.36. Skin Analytics
11.2.37. SkinGenix
11.2.38. Spruce Beauty
11.2.39. The Lip Bar
11.2.40. Toun28
11.2.41. YouCam Makeup
11.2.42. Yours Skincare
11.2.43. Youth Laboratories
11.2.44. Youthforia
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.