Next-Generation Personalized Beauty Market Size, Share & Trends Analysis Report By Product (Skincare, Haircare, Make-up, Fragrances, Others), By Application (Consultation/digital questionnaires, Apps and specialised hardware, Home test kits, Others), By Region, And Segment Forecasts, 2024-2031

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Next-Generation Personalized Beauty Market Snapshot

Chapter 4. Global Next-Generation Personalized Beauty Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Market Dynamics - Drivers

4.3. Challenges/Restraints

4.4. Market Trends

4.5. Industry Analysis – Porter’s Five Forces Analysis

4.6. Competitive Landscape & Market Share Analysis

Chapter 5. Market Segmentation 1: Product Type Estimates & Trend Analysis

5.1. Product Type & Market Share, 2023 & 2031

5.2. Market Size (Value) & Forecasts and Trend Analyses, 2019 to 2031 for the following Product Type:

5.2.1. Skincare

5.2.2. Haircare

5.2.3. Make-up

5.2.4. Fragrances

5.2.5. Others

Chapter 6. Market Segmentation 1: Service Estimates & Trend Analysis

6.1. Service & Market Share, 2023 & 2031

6.2. Market Size (Value) & Forecasts and Trend Analyses, 2019 to 2031 for the following Service:

6.2.1. Consultation/digital questionnaires

6.2.2. Apps and specialized hardware

6.2.3. Home test kits

6.2.4. Others

Chapter 7. Next-Generation Personalized Beauty Market Segmentation 3: Regional Estimates & Trend Analysis

7.1. North America

7.1.1. North America Next-Generation Personalized Beauty Market revenue (US$ Million) estimates and forecasts by Product Type, 2024-2031

7.1.2. North America Next-Generation Personalized Beauty Market revenue (US$ Million) estimates and forecasts by Service, 2024-2031

7.1.3. North America Next-Generation Personalized Beauty Market revenue (US$ Million) estimates and forecasts by country, 2024-2031

7.1.3.1. U.S.

7.1.3.2. Canada

7.2. Europe

7.2.1. Europe Next-Generation Personalized Beauty Market revenue (US$ Million) estimates and forecasts by Product Type, 2024-2031

7.2.2. Europe Next-Generation Personalized Beauty Market revenue (US$ Million) estimates and forecasts by Service, 2024-2031

7.2.3. Europe Next-Generation Personalized Beauty Market revenue (US$ Million) by country, 2024-2031

7.2.3.1. Germany

7.2.3.2. Poland

7.2.3.3. France

7.2.3.4. Italy

7.2.3.5. Spain

7.2.3.6. UK

7.2.3.7. Rest of Europe

7.3. Asia Pacific

7.3.1. Asia Pacific Next-Generation Personalized Beauty Market revenue (US$ Million) estimates and forecasts by Product Type, 2024-2031

7.3.2. Asia Pacific Next-Generation Personalized Beauty Market revenue (US$ Million) estimates and forecasts by Service, 2024-2031

7.3.3. Asia Pacific Next-Generation Personalized Beauty Market revenue (US$ Million) by country, 2024-2031

7.3.3.1. China

7.3.3.2. India

7.3.3.3. Japan

7.3.3.4. Australia

7.3.3.5. Rest of Asia Pacific

7.4. Latin America

7.4.1. Latin America Next-Generation Personalized Beauty Market revenue (US$ Million) estimates and forecasts by Product Type, 2024-2031

7.4.2. Latin America Next-Generation Personalized Beauty Market revenue (US$ Million) estimates and forecasts by Service, 2024-2031

7.4.3. Latin America Next-Generation Personalized Beauty Market revenue (US$ Million) by country, (US$ Million) 2024-2031

7.4.3.1. Brazil

7.4.3.2. Rest of Latin America

7.5. MEA

7.5.1. MEA Next-Generation Personalized Beauty Market revenue (US$ Million) estimates and forecasts by Product Type, 2024-2031

7.5.2. MEA Next-Generation Personalized Beauty Market revenue (US$ Million) estimates and forecasts by Service, 2024-2031

7.5.3. MEA revenue Next-Generation Personalized Beauty Market revenue (US$ Million) by country, (US$ Million) 2024-2031

7.5.3.1. South Africa

7.5.3.2. Rest of MEA

Chapter 8. Competitive Landscape

8.1. Major Mergers and Acquisitions/Strategic Alliances

8.2. Company Profiles

8.2.1. IOMA Paris

8.2.1.1. Company Overview

8.2.1.2. Financials

8.2.1.3. Product portfolio

8.2.1.4. Business strategy & Recent developments

8.2.2. BITE Beauty

8.2.3. Curology

8.2.4. Coty Inc.

8.2.5. Estée Lauder Inc.

8.2.6. insitU Cosmetics Ltd.

8.2.7. FitSkin Inc.

8.2.8. Ulta Beauty, Inc.

8.2.9. Krigler

8.2.10. Kiehl’s Apothecary Preparations

8.2.11. SkinCeuticals Custom D.O.S.E.

8.2.12. Function of Beauty

8.2.13. The Buff

8.2.14. DermaCare

8.2.15. Skin Inc.

8.2.16. eSalon

8.2.17. Romy Paris

8.2.18. CODAGE

8.2.19. Duolab

8.2.20. Prose

8.2.21. Nomige

8.2.22. Atolla

8.2.23. Ave & Edam

8.2.24. Preemadonna Inc.

8.2.25. Laboté

8.2.26. Orig3n

8.2.27. SKINSHIFT

8.2.28. Skin Authority

8.2.29. NU SKIN

8.2.30. Glory Skincare

8.2.31. Sephora

8.2.32. SKINTELLI, AN EPIGENCARE BRAND

8.2.33. Proven Skincare

8.2.34. SkinAI LLC (Our Skin)

8.2.35. Other Prominent Players

Global Next-Generation Personalized Beauty Market Segmentation

Global Next-Generation Personalized Beauty Market by Product

• Skincare
• Haircare
• Make-up
• Fragrances
• Others

Global Next-Generation Personalized Beauty Market Based on Application

• Consultation/digital questionnaires
• Apps and specialized hardware
• Home test kits
• Others

Global Next-Generation Personalized Beauty Market Based on Region

Europe

• U.K.
• Germany
• France
• Italy
• Spain
• Russia
• Rest of Europe

North America

• U.S.
• Canada

Asia Pacific

• India
• China
• Japan
• South Korea
• Australia & New Zealand

Latin America

• Mexico
• Brazil
• Rest of Latin America

Middle East & Africa

• South Africa
• GCC Countries
• Rest of Middle East & Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

• Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
• External and internal proprietary databases, regulatory databases, and relevant patent analysis
• Statistical databases, National government documents, and market reports
• Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

• Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
• Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
• Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
• End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.