When I started digging into outfit co-creation app usage statistics, I honestly didn’t expect the numbers to be this fascinating. It feels like we’ve reached a point where fashion and technology are blending in ways that feel both exciting and deeply personal. I’ve always believed that style is about more than just clothes—it’s about how we express ourselves every single day, even down to our socks. Seeing how these apps are influencing behavior, spending, and even confidence makes me reflect on how much easier it’s become to experiment with new looks. I want to share these insights with you in a way that feels less like reading data and more like exploring a new chapter in how we all dress and connect with fashion.
Top 20 Outfit Co-Creation App Usage Statistics 2025 (Editor’s Choice)
Stat # | Statistic / Data Point | Category / Theme | Explanation / Insight | Year / Forecast Period |
---|---|---|---|---|
1 | 36% of consumers have tried mood-based or visual fashion search | Usage | Shows growing adoption of mood/visual-powered outfit apps. | 2024 |
2 | 86% of those users applied it specifically for clothing | Usage | Confirms strong relevance to apparel and outfit co-creation. | 2024 |
3 | 62% of Millennials prefer image/mood-based searches | Demographics | Highlights younger generations’ reliance on visual-first discovery. | 2024 |
4 | 55% of consumers say mood-based tools influence their style | Consumer Behavior | Indicates that these apps actively shape fashion choices. | 2024 |
5 | Apps with mood/visual search see +20% average order value | Revenue Impact | Retailers integrating such features benefit financially. | 2024 |
6 | Brands report up to +30% revenue growth after adoption | Revenue Impact | Strong business case for adopting outfit co-creation apps. | 2024 |
7 | Global visual fashion queries grew 70% YoY | Market Growth | Shows explosive global demand for visual fashion tools. | 2024 |
8 | Only 5% of adults 55+ use these tools | Demographics | Low adoption among older generations remains a challenge. | 2024 |
9 | Google Lens processes 20B queries monthly | Technology | Demonstrates massive consumer reliance on visual tools. | 2024 |
10 | 85% of shoppers trust images more than text | Consumer Behavior | Explains why visual outfit apps outperform traditional search. | 2024 |
11 | 30% of e-commerce brands expected to adopt by 2025 | Industry Adoption | Indicates rapid integration of co-creation tools. | 2025 |
12 | Market projected to grow from $9.2B (2022) → $46.2B (2032) | Market Growth | Strong CAGR reflects surging demand worldwide. | 2022–2032 |
13 | Mood-based product discovery to be #1 AI retail use case | AI Adoption | Prioritized by retailers as a key digital transformation driver. | 2025 |
14 | 82% of customers want AI to speed up shopping | Consumer Behavior | Outfit apps that streamline choices gain an edge. | 2025 |
15 | Outfit planner app market: $150M (2024) → $450M (2033) | Market Size | Healthy CAGR of ~13.5% over the decade. | 2024–2033 |
16 | Other forecasts project CAGR ~15% reaching $1.8B by 2033 | Market Size | Different analysts agree on strong long-term growth. | 2025–2033 |
17 | Wardrobe app market: $2.9B (2023) → $8.5B (2032) | Market Size | Wardrobe-focused apps are a major driver of growth. | 2023–2032 |
18 | Styling app market: $4.15B (2024), CAGR ~10.6% | Market Size | Includes outfit, beauty, and styling-focused applications. | 2024–2031 |
19 | Core users: women 25–45, high income, NA & Europe lead | Demographics | Identifies strongest consumer segment and geography. | 2025 |
20 | Combyne adds 4.5k new members & 10k uploads daily | App Usage | Popular outfit co-creation platform with active engagement. | 2025 |
Top 20 Outfit Co-Creation App Usage Statistics 2025
Outfit Co-Creation App Usage Statistics #1: 36% Of Consumers Have Tried Mood-Based Or Visual Fashion Search
The fact that 36% of consumers have tried mood-based or visual fashion search highlights its growing relevance in everyday shopping. This indicates that visual discovery is no longer a niche but a mainstream entry point into fashion exploration. Such adoption showcases the demand for personalized and intuitive shopping tools that reduce friction. Outfit co-creation apps leveraging these tools are positioned to attract wider audiences. As this number grows, it signals a clear shift in consumer expectations for tech-driven fashion discovery.
Outfit Co-Creation App Usage Statistics #2: 86% Of Users Applied It Specifically For Clothing
Among those who tried mood-based tools, 86% used them specifically for clothing, underscoring fashion’s dominance in visual search. This shows that outfits are the most natural fit for co-creation tools compared to other categories. Clothing requires styling context, making it a stronger match for visual exploration than generic products. The stat also suggests that consumers see direct value in these apps for wardrobe inspiration. Ultimately, this proves that outfit-focused platforms are driving the majority of visual search engagement.

Outfit Co-Creation App Usage Statistics #3: 62% Of Millennials Prefer Image/Mood-Based Searches
Millennials’ preference for image-driven discovery, at 62%, highlights their comfort with technology-enabled shopping. This generation often seeks inspiration from social media, where visuals dominate. Their behavior makes them more likely to embrace outfit co-creation apps that provide instant, curated looks. By aligning with this demand, fashion tech companies can build stronger loyalty among younger shoppers. This stat reinforces the trend of visual-first consumption shaping digital commerce.
Outfit Co-Creation App Usage Statistics #4: 55% Of Consumers Say Mood-Based Tools Influence Their Style
More than half of consumers (55%) report that mood-based tools directly influence their style decisions. This means co-creation apps don’t just aid discovery—they actively shape wardrobe choices. The influence suggests that these apps act as both functional shopping tools and style mentors. They help consumers experiment and step outside their usual fashion comfort zones. Over time, such influence can significantly reshape personal fashion journeys.
Outfit Co-Creation App Usage Statistics #5: Apps With Mood/Visual Search See +20% Average Order Value
Retailers adopting mood or visual-powered search experience a 20% boost in average order value. This demonstrates that better discovery leads to more confident purchases. When consumers feel sure about their style matches, they’re willing to spend more. Outfit co-creation apps directly benefit from this effect by bundling looks. For businesses, this stat makes the case for investing in outfit-based personalization features.
Outfit Co-Creation App Usage Statistics #6: Brands Report Up To +30% Revenue Growth After Adoption
Some brands report as much as 30% revenue growth after integrating co-creation tools. This underscores the bottom-line impact of adopting innovative fashion tech. By reducing browsing friction, these apps increase conversion rates and sales. For retailers, this is more than a style trend—it’s a revenue opportunity. It also explains why more companies are racing to adopt these solutions.
Outfit Co-Creation App Usage Statistics #7: Global Visual Fashion Queries Grew 70% YoY
The 70% year-over-year growth in visual fashion queries reflects surging demand for these tools globally. This growth indicates that consumers are moving away from traditional keyword search. Outfit co-creation apps are poised to capture this momentum by offering curated experiences. Such rapid expansion also hints at the global scalability of these solutions. This stat signals a long-term upward trajectory for the industry.
Outfit Co-Creation App Usage Statistics #8: Only 5% Of Adults 55+ Use These Tools
Adoption remains low among older adults, with only 5% aged 55+ engaging with these apps. This stat highlights a generational gap in tech adoption. While Gen Z and Millennials dominate usage, older groups lag behind. For brands, this represents both a challenge and a potential growth area. Education and simplified app design could help bridge the adoption divide.
Outfit Co-Creation App Usage Statistics #9: Google Lens Processes 20B Queries Monthly
With Google Lens handling 20 billion monthly queries, visual discovery is already a mass-scale phenomenon. A significant portion of these queries relate to fashion. This shows how ingrained visual search has become in daily shopping behaviors. Outfit co-creation apps benefit from such widespread familiarity with visual input. It creates an environment where fashion-specific apps can thrive without needing to re-educate users.

Outfit Co-Creation App Usage Statistics #10: 85% Of Shoppers Trust Images More Than Text
Trust in visuals outweighs text for 85% of shoppers, validating why co-creation tools perform so well. Images deliver a higher sense of authenticity and immediacy. When consumers can “see” rather than “read,” they feel more secure in decisions. Outfit co-creation apps leverage this trust to drive engagement and sales. This makes image-driven commerce not just effective but essential.
Outfit Co-Creation App Usage Statistics #11: 30% Of E-Commerce Brands Expected To Adopt By 2025
By 2025, around 30% of major e-commerce brands are expected to adopt co-creation features. This shows the shift from experimentation to mainstream integration. Retailers see clear value in outfit-driven personalization tools. The stat demonstrates how adoption is becoming an industry standard. This also forecasts a more competitive market landscape by 2025.
Outfit Co-Creation App Usage Statistics #12: Market To Grow From $9.2B (2022) → $46.2B (2032)
The visual/mood-based market is projected to grow from $9.2B in 2022 to $46.2B by 2032. Such a CAGR underscores how fast adoption is expanding. This reflects rising demand for smarter, AI-powered outfit creation tools. Long-term forecasts confirm this is not a passing trend. The opportunity for innovation and new entrants remains massive.
Outfit Co-Creation App Usage Statistics #13: Mood-Based Discovery To Be #1 AI Retail Use Case By 2025
Retail experts predict mood-based product discovery will be the #1 AI use case by 2025. This shows how central outfit co-creation tools are becoming in retail strategies. The prediction validates investments in AI-powered styling features. It also means co-creation apps are moving into core retail operations. Such recognition cements their place as a future retail necessity.
Outfit Co-Creation App Usage Statistics #14: 82% Of Customers Want AI To Speed Up Shopping
Consumers demand efficiency, with 82% wanting AI to speed up decision-making. Outfit apps that simplify discovery directly answer this call. Faster tools reduce decision fatigue and enhance satisfaction. This stat highlights why AI-powered co-creation apps have strong appeal. It also suggests that convenience may be as important as style in adoption.
Outfit Co-Creation App Usage Statistics #15: Outfit Planner Market $150M (2024) → $450M (2033)
The outfit planner market is projected to triple in value within a decade. Starting at $150M in 2024, it is expected to hit $450M by 2033. This CAGR of ~13.5% reflects healthy growth. Rising demand for style-coordination apps drives the increase. For startups and retailers alike, this is a growing investment opportunity.

Outfit Co-Creation App Usage Statistics #16: Forecast CAGR ~15% Reaching $1.8B By 2033
Some forecasts are even more optimistic, projecting $1.8B by 2033. A CAGR of ~15% suggests stronger-than-expected adoption. The variance shows analysts see big potential in the category. This reinforces confidence in outfit co-creation as a scalable sector. Retailers aligning early may capture significant market share.
Outfit Co-Creation App Usage Statistics #17: Wardrobe App Market $2.9B (2023) → $8.5B (2032)
Wardrobe apps specifically are projected to grow nearly threefold by 2032. This growth shows consumer appetite for digital wardrobe management. Outfit co-creation apps often overlap with wardrobe apps, strengthening the trend. The growth trajectory signals strong consumer need for digital style assistants. This evolution is pushing fashion into hybrid physical-digital wardrobes.
Outfit Co-Creation App Usage Statistics #18: Styling App Market $4.15B (2024), CAGR ~10.6%
The wider styling app market, valued at $4.15B in 2024, shows consistent growth. This includes not just outfits but beauty and lifestyle styling. A CAGR of ~10.6% indicates steady industry momentum. Outfit apps benefit by being part of this broader ecosystem. The statistic affirms the rising influence of style-focused digital tools.
Outfit Co-Creation App Usage Statistics #19: Core Users Women 25–45 In NA & Europe
The strongest demographic for outfit apps is women aged 25–45. These users typically have higher disposable income and fashion interest. North America and Europe lead adoption, but Asia-Pacific is catching up. This stat highlights where marketing should be targeted. It also signals which groups shape the core of this industry.
Outfit Co-Creation App Usage Statistics #20: Combyne Adds 4.5K New Members & 10K Uploads Daily
Combyne’s daily activity shows the scale of engagement in co-creation platforms. With 4.5K new members and 10K outfit uploads every day, the app proves consumer appetite. Such activity demonstrates high user retention and creativity. It positions co-creation apps as community-driven platforms. This stat confirms the vibrancy and sustainability of the trend.

Wrapping It Up: Why These Numbers Matter
Looking back at these outfit co-creation app usage statistics, I can’t help but feel both curious and optimistic about what’s coming next. These aren’t just percentages or market forecasts—they tell the story of how we, as everyday people, are reimagining how to style ourselves. For me, it’s almost comforting to see how technology is making fashion feel more approachable, more creative, and more fun—whether you’re layering jackets or just picking out your favorite socks. What excites me most is that this isn’t a fleeting trend, but a growing shift in how we express identity. And if the growth continues at this pace, I think we’ll all be playing a much more active role in shaping our wardrobes than ever before.
SOURCES
https://bestcolorfulsocks.com/blogs/news/mood-based-fashion-app-usage-statistics
https://www.verifiedmarketreports.com/product/outfit-planner-app-market
https://www.datainsightsmarket.com/reports/outfit-planning-app-1969039
https://www.wiseguyreports.com/reports/wardrobe-app-market
https://www.cognitivemarketresearch.com/styling-app-market-report
https://www.just-style.com/features/explainer-why-are-virtual-wardrobes-growing-in-popularity
https://www.marketreportanalytics.com/reports/outfit-planning-app-55555