Direct-To-Consumer (D2C) Personalized Haircare Market Size, Share & Trends Analysis Report By Products (Shampoo, Conditioner, Hair loss treatment products (Masks, etc.), Hair Oil, Hair color, Other products), By Platforms, 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 Direct-To-Consumer (D2C) Personalized Haircare Market Snapshot

Chapter 4. Global Direct-To-Consumer (D2C) Personalized Haircare Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Industry Analysis – Porter’s Five Forces Analysis

4.6. Competitive Landscape & Market Share Analysis

4.7. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: By Products Estimates & Trend Analysis

5.1. By Products & Market Share, 2023 & 2031

5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Products:

5.2.1. Shampoo

5.2.2. Conditioner

5.2.3. Hair Loss Treatment Products (Masks etc.)

5.2.4. Hair Oil

5.2.5. Hair color and Other Product

Chapter 6. Market Segmentation 2: By Platforms Estimates & Trend Analysis

6.1. By Platform & Market Share, 2023 & 2031

6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Platform:

6.2.1. Consultation/digital questionnaires

6.2.2. Apps and specialized hardware

6.2.3. Other Platform

Chapter 7. Direct-To-Consumer (D2C) Personalized Haircare Market Segmentation 3: Regional Estimates & Trend Analysis

7.1. North America

7.1.1. North America Direct-To-Consumer (D2C) Personalized Haircare Market revenue (US$ Million) estimates and forecasts By Products, 2024-2031

7.1.2. North America Direct-To-Consumer (D2C) Personalized Haircare Market revenue (US$ Million) estimates and forecasts By Platform, 2024-2031

7.1.3. North America Direct-To-Consumer (D2C) Personalized Haircare Market revenue (US$ Million) estimates and forecasts by country, 2024-2031

7.2. Europe

7.2.1. Europe Direct-To-Consumer (D2C) Personalized Haircare Market revenue (US$ Million) By Products, 2024-2031

7.2.2. Europe Direct-To-Consumer (D2C) Personalized Haircare Market revenue (US$ Million) By Platform, 2024-2031

7.2.3. Europe Direct-To-Consumer (D2C) Personalized Haircare Market revenue (US$ Million) by country, 2024-2031

7.3. Asia Pacific

7.3.1. Asia Pacific Direct-To-Consumer (D2C) Personalized Haircare Market revenue (US$ Million) By Products, 2024-2031

7.3.2. Asia Pacific Direct-To-Consumer (D2C) Personalized Haircare Market revenue (US$ Million) By Platform, 2024-2031

7.3.3. Asia Pacific Direct-To-Consumer (D2C) Personalized Haircare Market revenue (US$ Million) by country, 2024-2031

7.4. Latin America

7.4.1. Latin America Direct-To-Consumer (D2C) Personalized Haircare Market revenue (US$ Million) By Products, 2024-2031

7.4.2. Latin America Direct-To-Consumer (D2C) Personalized Haircare Market revenue (US$ Million) By Platform, 2024-2031

7.4.3. Latin America Direct-To-Consumer (D2C) Personalized Haircare Market revenue (US$ Million) by country, 2024-2031

7.5. Middle East & Africa

7.5.1. Middle East & Africa Direct-To-Consumer (D2C) Personalized Haircare Market revenue (US$ Million) By Products, 2024-2031

7.5.2. Middle East & Africa Direct-To-Consumer (D2C) Personalized Haircare Market revenue (US$ Million) By Platform, 2024-2031

7.5.3. Middle East & Africa Direct-To-Consumer (D2C) Personalized Haircare Market revenue (US$ Million) by country, 2024-2031

Chapter 8. Competitive Landscape

8.1. Major Mergers and Acquisitions/Strategic Alliances

8.2. Company Profiles

8.2.1. Function of Beauty

8.2.2. Belle Bar Organic Customizable Hair Masks

8.2.3. Form Beauty

8.2.4. Prose Personalized Hair Care

8.2.5. Shtrands

8.2.6. Schwarzkopf Professional SalonLab

8.2.7. The Ouai Hair Consult #MyOUAI

8.2.8. Ravel

8.2.9. Formulate Labs, Inc

8.2.10. Vert Home & Personal Care Pvt. Ltd.

8.2.11. eSalon (Aura)

8.2.12. Gemmist

8.2.13. Bare Anatomy

8.2.14. Skinkraft

8.2.15. Rituals

8.2.16. vedix

8.2.17. MDhair

8.2.18. Shampora

8.2.19. Sparty, Inc. (Medulla)

8.2.20. Color&Co ( L'Oréal)

8.2.21. Living Proof Inc.

8.2.22. Other Prominent Players

Segmentation Of Direct-To-Consumer (D2C) Personalized Haircare Market

Global D2C Personalized Haircare Market, by Products

• Shampoo
• Conditioner
• Hair loss treatment products (Masks, etc.)
• Hair Oil
• Hair colour
• Other products

Global D2C Personalized Haircare Market, by Platforms

• Consultation/digital questionaries
• Apps and specialized hardware
• Other platforms

Global D2C Personalized Haircare Market, by Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

North America D2C Personalized Haircare Market, by Country

• U.S.
• Canada

Europe D2C Personalized Haircare Market, by Country

• Germany
• France
• Italy
• Spain
• Russia
• Rest of Europe

Asia Pacific D2C Personalized Haircare Market, by Country

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

Latin America D2C Personalized Haircare Market, by Country

• Brazil
• Mexico
• Rest of Latin America

Middle East & Africa D2C Personalized Haircare Market, by Country

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

Competitive Landscape

• Function of Beauty
• Belle Bar Organic Customizable Hair Masks
• Form Beauty
• Prose Personalized Hair Care
• Strands
• Henkel (Schwarzkopf Professional SalonLab)
• P&G (Ouai)
• Ravel
• Formulate Labs, Inc
• Vert Home & Personal Care Pvt. Ltd.
• Gemmist
• Bare Anatomy
• Skinkraft
• Rituals
• vedix
• MDhair
• Shampora
• eSalon (Aura)
• L’Oreal (Color&co)
• Oddity (SpoiledChild)
• Other Prominent Players

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.