AI-Based Personalized Stylist Market Size is valued at USD 127.1 Million in 2024 and is predicted to reach USD 2829.2 Million by the year 2034 at a 36.5% CAGR during the forecast period for 2025-2034.
Personal stylists assist customers in creating the most appropriate image by selecting clothing and accessories that complement their body shapes and specific demands. They may also offer fashion advice and help with hair, makeup, and other services. Artificial Intelligence can improve customer-retailer interactions on the e-commerce platform with the help of AI chatbots that ask clients about their preferences and speed up product search. AI assists clients directly and indirectly also. For instance, Smart mirrors scan the customer using AI visual recognition and suggest outfits that complement the clothes they are wearing in the correct size and fit. On the other hand, they can be used to scan a product and see different ways to style a complete outfit with other products in the store. With customers expecting increasingly personalized and fast service, AI looks set to be a part of meeting these expectations.
Technological developments, research on AI use and productivity, increased funding and investments, and fast strategic collaborations between fashion companies and AI developers drive the AI-based personalized stylist market for the upcoming forecasting period. In 2020, Lily AI secured funding to expand personal recommendation tech. Lily AI announced that it has secured $12.5 million in Series A funding and utilizes "deep product data and anonymized customer behaviour data" to present personalized e-commerce experiences, according to the company.
The AI-Based Personalized stylist market is segmented into types and categories. The market Type includes chatbots, personal shoppers and visual shoppers. Chatbot AI is widely used by the e-commerce platform to approach customers. While by category market is divided into apparel, accessories, footwear, beauty & cosmetics, jewellery and others. Apparels and cosmetic industries use AI power to upgrade themselves more than others.
North America region is likely to be the largest market throughout the forecast period. The industry is quickly developing as a result of a number of factors, including rising social media adoption, local company expansion, and government efforts to promote AI.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 127.1 Million |
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Revenue Forecast In 2034 |
USD 2829.2 Million |
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Growth Rate CAGR |
CAGR of 36.5% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Million and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2034 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Type, By Category |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico ;The UK; France; Italy; Spain; China; Japan; India; South Korea; South East Asia; South Korea; South East Asia |
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Competitive Landscape |
Bestlook, ClothStudio, Dressipi, Dresslife, Epytom, Intelistyle, Lily, Mallzee, ModeWalk, Mona, Shop It To, ShopLook, Stitch Fix, Stryde Men, Stylebook, Stylitics Inc., Syfto, The Yes, VueStyle, Wardrobe Essentialist, Xpresso, Style.me, Pixyle.ai, StyleScan, glood.ai, YesPlz, Inc |
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Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI Based Personalized Stylist Market Snapshot
Chapter 4. Global AI Based Personalized Stylist 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. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis
Chapter 5. Market Segmentation 1: By Types Estimates & Trend Analysis
5.1. By Types & Market Share, 2024 & 2034
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Types:
5.2.1. Chatbots
5.2.2. Personal shopper
5.2.3. Visual shopper
Chapter 6. Market Segmentation 2: By Category Estimates & Trend Analysis
6.1. By Category & Market Share, 2024 & 2034
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Category:
6.2.1. Apparels
6.2.2. Accessories
6.2.3. Footwear
6.2.4. Beauty & Cosmetics
6.2.5. Jewelry
6.2.6. Other Category
Chapter 7. AI Based Personalized Stylist Market Segmentation 3: Regional Estimates & Trend Analysis
7.1. North America
7.1.1. North America AI Based Personalized Stylist Market revenue (US$ Million) estimates and forecasts By Types, 2021-2034
7.1.2. North America AI Based Personalized Stylist Market revenue (US$ Million) estimates and forecasts by Category, 2021-2034
7.1.3. North America AI Based Personalized Stylist Market revenue (US$ Million) estimates and forecasts by country, 2021-2034
7.2. Europe
7.2.1. Europe AI Based Personalized Stylist Market revenue (US$ Million) By Types, 2021-2034
7.2.2. Europe AI Based Personalized Stylist Market revenue (US$ Million) estimates and forecasts by Category, 2021-2034
7.2.3. Europe AI Based Personalized Stylist Market revenue (US$ Million) by country, 2021-2034
7.3. Asia Pacific
7.3.1. Asia Pacific AI Based Personalized Stylist Market revenue (US$ Million) By Types, 2021-2034
7.3.2. Asia Pacific AI Based Personalized Stylist Market revenue (US$ Million) estimates and forecasts by Category, 2021-2034
7.3.3. Asia Pacific AI Based Personalized Stylist Market revenue (US$ Million) by country, 2021-2034
7.4. Latin America
7.4.1. Latin America AI Based Personalized Stylist Market revenue (US$ Million) By Types, 2021-2034
7.4.2. Latin America AI Based Personalized Stylist Market revenue (US$ Million) estimates and forecasts by Category, 2021-2034
7.4.3. Latin America AI Based Personalized Stylist Market revenue (US$ Million) by country, 2021-2034
7.5. Middle East & Africa
7.5.1. Middle East & Africa AI Based Personalized Stylist Market revenue (US$ Million) By Types, 2021-2034
7.5.2. Middle East & Africa AI Based Personalized Stylist Market revenue (US$ Million) estimates and forecasts by Category, 2021-2034
7.5.3. Middle East & Africa AI Based Personalized Stylist Market revenue (US$ Million) by country, 2021-2034
Chapter 8. Competitive Landscape
8.1. Major Mergers and Acquisitions/Strategic Alliances
8.2. Company Profiles
8.2.1. Bestlook
8.2.2. ClothStudio
8.2.3. Dressipi
8.2.4. Dresslife
8.2.5. Epytom
8.2.6. Intelistyle
8.2.7. Lily
8.2.8. Mallzee
8.2.9. ModeWalk
8.2.10. Mona
8.2.11. Shop It To
8.2.12. ShopLook
8.2.13. Stitch Fix
8.2.14. Stryde Men
8.2.15. Stylebook
8.2.16. Stylitics Inc.
8.2.17. Syfto
8.2.18. The Yes
8.2.19. VueStyle
8.2.20. Wardrobe Essentialist
8.2.21. Xpresso
8.2.22. Style.me
8.2.23. Stitch Fix
8.2.24. Pixyle.ai
8.2.25. StyleScan
8.2.26. glood.ai
8.2.27. YesPlz, Inc.
8.2.28. Other Prominent Players
Global AI-Based Personalized stylist market , by Type
Global AI-Based Personalized stylist market , by Catagory
Global AI-Based Personalized stylist market , by Region
North America AI-Based Personalized stylist market , by Country
Europe AI-Based Personalized stylist market , by Country
Asia Pacific AI-Based Personalized stylist market , by Country
Latin America AI-Based Personalized stylist market , by Country
Middle East & Africa AI-Based Personalized stylist market , by Country
Competitive Landscape
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:
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:
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.
