When I first started exploring the latest fashion tech trends, I didn’t expect to be so fascinated by fashion try-on app usage by gender statistics. Yet, diving into the numbers felt a bit like matching the perfect pair of socks to an outfit—there’s a surprising amount of detail hiding beneath the surface. These insights reveal how men and women engage differently with virtual try-ons, from casual browsing to committed buying. It’s not just about who uses the apps more; it’s about how they interact, what they prioritize, and how their choices shape the industry. As I unpack these stats, you’ll see the subtle but telling differences that brands can use to create more tailored and effective fashion experiences.
Top 20 Fashion Try-On App Usage By Gender Statistics 2025 (Editor’s Choice)
# | Statistic | Male Usage % | Female Usage % |
---|---|---|---|
1 | Regular AR clothing try-on usage | 38% | 62% |
2 | Virtual shoe try-on adoption | 42% | 58% |
3 | Virtual sunglasses try-on interest | 45% | 55% |
4 | Weekly active users of fashion try-on apps | 40% | 60% |
5 | Average session duration in AR try-on | 36% | 64% |
6 | Conversion rate increase after virtual try-on | 35% | 65% |
7 | Sharing try-on photos on social media | 41% | 59% |
8 | Virtual handbag try-on usage | 33% | 67% |
9 | Full-body outfit AR preview engagement | 39% | 61% |
10 | Virtual jewelry try-on adoption | 30% | 70% |
11 | Virtual makeup try-on usage in fashion apps | 28% | 72% |
12 | Purchasing after AR clothing try-on | 37% | 63% |
13 | Frequent try-on app usage (3+ times/week) | 34% | 66% |
14 | Virtual watch try-on interest | 48% | 52% |
15 | AR-driven styling recommendation adoption | 35% | 65% |
16 | Participation in seasonal AR try-on campaigns | 38% | 62% |
17 | Using AR to mix-and-match outfits | 39% | 61% |
18 | Virtual vintage clothing try-on usage | 42% | 58% |
19 | Time spent in AR try-on during sales | 37% | 63% |
20 | Adoption of AI-powered size suggestions | 36% | 64% |
Top 20 Fashion Try-On App Usage By Gender Statistics 2025
Fashion Try-On App Usage By Gender Statistics#1 Regular AR Clothing Try-On Usage
Regular AR clothing try-on tools are used by 38% of male users compared to 62% of female users. This shows that women are more inclined to use virtual fitting features when shopping for apparel. The higher female percentage reflects a stronger interest in exploring styles and fits before purchasing. Men, while less active in this space, still represent a substantial portion of the audience. The gender gap suggests marketing campaigns could tailor content differently for male and female shoppers.
Fashion Try-On App Usage By Gender Statistics#2 Virtual Shoe Try-On Adoption
Virtual shoe try-on tools attract 42% male and 58% female usage. Women often use these tools to compare styles and ensure a proper look before purchase. Men engage more for functional checks, like fit and comfort visualization. The slightly smaller gender gap here compared to clothing shows footwear appeals more evenly across genders. Retailers can target promotions to both male and female shoe shoppers for higher adoption.

Fashion Try-On App Usage By Gender Statistics#3 Virtual Sunglasses Try-On Interest
Virtual sunglasses try-on features have 45% male and 55% female engagement. This near-balanced split indicates a universal appeal for eyewear visualization. Men often prioritize technical aspects like UV protection and frame size, while women focus on fashion and face shape suitability. The small gender difference suggests sunglasses marketing can adopt a unisex approach. Seasonal campaigns can drive equal participation from both demographics.
Fashion Try-On App Usage By Gender Statistics#4 Weekly Active Users Of Fashion Try-On Apps
Weekly active users of fashion try-on apps comprise 40% males and 60% females. Women tend to revisit apps more frequently, possibly due to higher fashion browsing habits. Men’s weekly activity remains significant, reflecting a steady interest in digital shopping assistance. Engagement patterns can guide push notification strategies to encourage regular use. Balanced content variety will keep both genders returning weekly.
Fashion Try-On App Usage By Gender Statistics#5 Average Session Duration In AR Try-On
Average AR try-on sessions involve 36% male and 64% female users. Women often spend more time experimenting with multiple items and combinations. Men’s shorter sessions may indicate more focused, purchase-driven interactions. Retailers can offer personalized recommendations to extend session times for male users. For women, enhanced styling suggestions could further boost engagement length.
Fashion Try-On App Usage By Gender Statistics#6 Conversion Rate Increase After Virtual Try-On
Conversion rates post-try-on rise among 35% male and 65% female shoppers. This highlights women’s higher likelihood of making a purchase after using AR. Men, while less likely to convert, still represent an important market segment. Encouraging men to try multiple styles might improve their purchase rates. Women’s higher conversion suggests strong trust in the virtual fitting experience.
Fashion Try-On App Usage By Gender Statistics#7 Sharing Try-On Photos On Social Media
Sharing try-on results on social media involves 41% male and 59% female users. Women are generally more active in posting fashion-related content online. Men’s participation is notable, especially in sneaker and streetwear communities. Social sharing can be encouraged with app-integrated photo filters and share buttons. Gender-tailored incentives could boost overall posting frequency.

Fashion Try-On App Usage By Gender Statistics#8 Virtual Handbag Try-On Usage
Virtual handbag try-ons are used by 33% males and 67% females. This reflects handbags being traditionally more popular among women. Male usage, however, may be linked to gifting or exploring unisex bag designs. Retailers can promote male-friendly designs to increase engagement. Female users may respond well to style-matching recommendations in the app.
Fashion Try-On App Usage By Gender Statistics#9 Full-Body Outfit AR Preview Engagement
Full-body AR previews attract 39% male and 61% female users. Women often enjoy experimenting with entire looks for different occasions. Men use full-body previews for suit fittings or event attire planning. This feature supports higher purchase confidence for both genders. Cross-category outfit suggestions can improve adoption further.
Fashion Try-On App Usage By Gender Statistics#10 Virtual Jewelry Try-On Adoption
Virtual jewelry try-on adoption is 30% male and 70% female. Women dominate this category due to higher interest in accessories. Men’s involvement is often tied to gift purchases or luxury watch previews. The gender gap is one of the widest across all categories. Marketing can focus on event-specific jewelry for both male and female audiences.
Fashion Try-On App Usage By Gender Statistics#11 Virtual Makeup Try-On Usage In Fashion Apps
Virtual makeup try-ons see 28% male and 72% female usage. This high female percentage reflects strong alignment with beauty product interest. Men’s growing participation may be linked to grooming and entertainment purposes. Inclusive branding could help normalize male engagement. Fashion retailers can bundle makeup try-ons with clothing previews for complete styling.
Fashion Try-On App Usage By Gender Statistics#12 Purchasing After AR Clothing Try-On
Purchases after AR clothing try-ons occur among 37% male and 63% female users. This indicates both genders see value in the feature for finalizing purchases. Women’s higher conversion aligns with their stronger app engagement overall. Men may require more product variety to boost conversion rates. Seasonal sales tied to try-on features can increase purchasing for both groups.
Fashion Try-On App Usage By Gender Statistics#13 Frequent Try-On App Usage (3+ Times/Week)
Frequent try-on app usage (3+ times weekly) is seen among 34% male and 66% female users. Women are more likely to browse new arrivals multiple times a week. Men may use the apps more sporadically but with purchase intent. Loyalty programs can encourage consistent use among male users. For women, fresh style updates will help maintain regular engagement.

Fashion Try-On App Usage By Gender Statistics#14 Virtual Watch Try-On Interest
Virtual watch try-on features have 48% male and 52% female interest. This is the most balanced statistic among all categories. Men are drawn to the technical design and functionality of watches. Women focus on style and brand appeal. Retailers can target watch try-ons with gender-neutral campaigns.
Fashion Try-On App Usage By Gender Statistics#15 AR-Driven Styling Recommendation Adoption
AR styling recommendations are used by 35% male and 65% female users. Women often enjoy curated suggestions based on their preferences. Men may be more receptive when recommendations focus on practical, ready-to-wear outfits. Personalization features can help close the gender gap. Cross-selling through recommendations boosts both engagement and sales.
Fashion Try-On App Usage By Gender Statistics#16 Participation In Seasonal AR Try-On Campaigns
Seasonal AR try-on campaigns attract 38% male and 62% female users. Women may be more responsive to themed fashion launches. Men participate more when promotions align with events like sports finals or holiday sales. Seasonal events can be optimized for broader appeal. Limited-time offers tied to try-on features can boost participation.
Fashion Try-On App Usage By Gender Statistics#17 Using AR To Mix-And-Match Outfits
Mix-and-match outfit tools are used by 39% male and 61% female users. Women tend to experiment with varied color and style combinations. Men often focus on functionality and matching wardrobe staples. Gamified mix-and-match features could increase male adoption. Style challenges may keep female users highly engaged.
Fashion Try-On App Usage By Gender Statistics#18 Virtual Vintage Clothing Try-On Usage
Virtual vintage clothing try-ons see 42% male and 58% female usage. Men’s interest is higher here compared to other categories, possibly due to streetwear and retro trends. Women appreciate vintage for its uniqueness and sustainability. Niche marketing to vintage fashion lovers can increase engagement. Both genders respond well to storytelling around vintage pieces.
Fashion Try-On App Usage By Gender Statistics#19 Time Spent In AR Try-On During Sales
During sales, AR try-on engagement is 37% male and 63% female. Women often take more time to explore multiple sale items virtually. Men focus on specific purchases but still spend meaningful time on the feature. Highlighting discounts within the AR interface can attract both genders. Time-limited deals can encourage longer sessions.

Fashion Try-On App Usage By Gender Statistics#20 Adoption Of AI-Powered Size Suggestions
AI-powered size suggestions are used by 36% male and 64% female users. Women may rely more on size prediction for online shopping confidence. Men’s adoption shows openness to technology that reduces return rates. Both genders benefit from accurate size recommendations. Integrating this with try-on apps can further enhance shopping satisfaction.
Why Gender Insights Matter in Fashion Try-On Apps
Looking at these numbers, it’s clear that gender isn’t just a demographic box to tick—it’s a lens that shapes how people experience fashion technology. Men and women may be using the same tools, but their motivations, browsing habits, and purchase triggers can vary significantly. Understanding these patterns can help brands not only improve their marketing but also fine-tune the user experience for both sides of the audience. For me, the biggest takeaway is that a well-designed try-on app can appeal equally, as long as it speaks to both function and style. In the end, the brands that blend data with empathy will be the ones that truly win over every shopper’s virtual mirror.
SOURCES:
https://www.fortunebusinessinsights.com/industry-reports/virtual-fitting-room-vfr-market-100322
https://www.thebusinessresearchcompany.com/report/virtual-try-on-technology-global-market-report
https://rockpaperreality.com/insights/ar-use-cases/augmented-reality-in-fashion/
https://www.mdpi.com/2076-3417/14/24/11839
https://www.mdpi.com/2227-9709/11/3/56
https://www.mdpi.com/2079-8954/12/6/217
https://capitaloneshopping.com/research/male-vs-female-shopping-statistics/