When I think about how we connect with our clothes, it’s often the textures that stay with us more than anything else. Fashion material texture preference statistics show that shoppers are not only drawn to how something looks but also to how it feels against their skin. I’ll be honest—sometimes it’s the softness of a cotton tee or the cozy stretch of socks that makes me pick one outfit over another. Texture is such a subtle yet powerful part of style, influencing comfort, confidence, and even purchasing decisions. Exploring these insights helps me see fashion not just as a trend but as a tactile experience we live in every day.
Top 20 Fashion Material Texture Preference Statistics 2025 (Editor’s Choice)
# | Statistics | Category | Specific Preference |
---|---|---|---|
1 | Regular usage (U.S. adults) | Usage | 10% of adults regularly use visual search tools. |
2 | Interest level (U.S. adults) | Interest | 42% are at least somewhat interested in visual search. |
3 | Gen Z & young Millennials (16–34) | Demographic | 22% have seen/purchased fashion items via visual search. |
4 | Adults 35–54 | Demographic | 17% have used visual search for fashion discovery. |
5 | Adults 55+ | Demographic | 5% have used visual search in fashion contexts. |
6 | Global visual searches YoY | Growth | ≈ +70% year-over-year growth in visual search activity. |
7 | Google Lens volume | Platform | ~20B queries per month; large share for shopping. |
8 | Visual vs. text trust | Trust | 85%+ shoppers trust images more than text when buying. |
9 | Average order value lift | Revenue Impact | ~+20% AOV after adding visual search. |
10 | Digital revenue growth | Revenue Impact | ~+30% growth after implementing visual search. |
11 | Consumers who’ve tried | Adoption | 36% have used visual search at least once. |
12 | Use for clothing among users | Use Case | 86% of users used visual search for apparel. |
13 | Millennials preferring image search | Preference | 62% prefer image-based search over other tech. |
14 | Style/taste influenced | Behavior | 55% report influence on personal style. |
15 | Brand adoption forecast (2025) | Forecast | ~30% major e-commerce brands integrating visual search. |
16 | Market size growth (’22 → ’32) | Market | $9.2B → $46.2B (~17.5% CAGR projected). |
17 | Top retail AI use case (2025) | Priority | #1: product discovery via AI/visual search. |
18 | Desire for faster decisions | Consumer Need | 82% want AI/visual tools to reduce research time. |
19 | Pinterest visual language model | AI Launch | Launched to translate fashion images into descriptors. |
20 | Brand deployments | Adoption | 500k+ users engaged with Zalando’s AI assistant. |
Top 20 Fashion Material Texture Preference Statistics 2025
Fashion Material Texture Preference Statistics #1 Regular Usage (U.S. Adults)
Only about 10% of U.S. adults report using visual search tools regularly for fashion purposes. This relatively small group represents early adopters who are more tech-savvy and open to digital innovations. Their consistent engagement shows how niche, but impactful, visual search still is in fashion retail. Brands targeting this group often focus on personalization and convenience. This small but loyal segment provides insights into how broader adoption might grow over time.
Fashion Material Texture Preference Statistics #2 Interest Level (U.S. Adults)
Around 42% of U.S. adults are somewhat interested in using visual search for shopping. This figure highlights curiosity among mainstream consumers even if regular use is still limited. The interest suggests that awareness campaigns could quickly push adoption higher. Retailers leveraging this demand have a chance to differentiate their offerings. It also reflects a generational shift towards visual-driven technology in fashion discovery.
Fashion Material Texture Preference Statistics #3 Gen Z And Young Millennials (16–34)
About 22% of Gen Z and young Millennials have purchased fashion items via visual search. This group is known for embracing emerging tech faster than older demographics. Their behavior confirms the importance of image-based discovery tools in youth fashion markets. For retailers, targeting these consumers with image-driven campaigns can boost engagement. It also shows that younger shoppers are actively shaping the future of fashion technology.
Fashion Material Texture Preference Statistics #4 Adults 35–54
Approximately 17% of adults aged 35–54 have used visual search for fashion discovery. While smaller than Gen Z adoption, this shows mid-aged consumers are also exploring these tools. They are often motivated by practicality rather than novelty. As this group has significant purchasing power, their adoption is valuable to fashion brands. It reflects a widening demographic base for visual search beyond the youngest shoppers.
Fashion Material Texture Preference Statistics #5 Adults 55 Plus
Only 5% of adults aged 55+ have used visual search for fashion. This highlights a digital gap between younger and older consumers. Older shoppers tend to prefer traditional browsing and in-store experiences. Adoption is limited due to unfamiliarity with new technology. However, as digital literacy increases, this segment could gradually grow in future years.
Fashion Material Texture Preference Statistics #6 Global Visual Searches Year Over Year
Global visual search activity has grown by about 70% year over year. This surge shows how rapidly image-based discovery is being adopted worldwide. The growth is tied to smartphone use and AI-powered search engines. Such acceleration indicates that visual discovery is becoming mainstream in digital retail. It also signals that fashion brands need to invest in visual search integration to remain competitive.
Fashion Material Texture Preference Statistics #7 Google Lens Volume
Google Lens processes around 20 billion queries per month, many tied to shopping. This immense usage highlights the scale at which visual discovery is happening. For fashion retailers, Lens represents a direct channel for product discovery. The high query count confirms growing consumer reliance on image-based tools. It shows the power of visual platforms in shaping fashion retail trends.
Fashion Material Texture Preference Statistics #8 Visual Versus Text Trust
Over 85% of shoppers trust images more than text when making purchases. This underscores the importance of visuals in fashion, where look and feel are critical. Consumers feel more confident in their decisions when products are visually presented. Text alone cannot capture the appeal of fabrics, textures, and styles. This explains why visual search is so effective in boosting engagement.
Fashion Material Texture Preference Statistics #9 Average Order Value Lift
Retailers implementing visual search report a 20% increase in average order value. This shows that visual discovery doesn’t just drive traffic but also boosts revenue. Consumers exposed to image-based options are more likely to purchase higher-priced items. Visual search makes upselling and cross-selling easier by showcasing similar products. For e-commerce stores, this creates both immediate and long-term benefits.
Fashion Material Texture Preference Statistics #10 Digital Revenue Growth
Fashion retailers saw an average of 30% digital revenue growth after adopting visual search. This increase highlights the significant business impact of image-based discovery. Enhanced product discovery drives more conversions across all categories. It proves that technology investments in AI can deliver strong ROI. The growth also suggests a competitive edge for brands adopting early.
Fashion Material Texture Preference Statistics #11 Consumers Who Have Tried
About 36% of shoppers have tried visual search at least once. This statistic shows that while adoption is growing, many consumers are still in the trial phase. The experience often determines whether they will use it again. Early experiments pave the way for long-term habits. Retailers must ensure positive first interactions to convert trial into regular usage.
Fashion Material Texture Preference Statistics #12 Use For Clothing Among Users
Among those who have tried visual search, 86% used it specifically for clothing. This reinforces fashion as the leading category for image-based discovery. Clothing is naturally visual, making it an ideal fit for this technology. The high usage rate suggests strong alignment between consumer needs and tool design. Retailers should continue prioritizing apparel in their visual search strategies.
Fashion Material Texture Preference Statistics #13 Millennials Preferring Image Search
About 62% of Millennials prefer image-based search over other formats. This highlights a generational preference for more intuitive discovery methods. Millennials value speed and convenience in their shopping experiences. Their habits show a clear departure from text-heavy browsing. Brands that adapt to this preference will resonate better with this demographic.
Fashion Material Texture Preference Statistics #14 Style Or Taste Influenced
More than 55% of consumers say visual search has influenced their style or taste. This proves that technology is not just a utility but also a trend driver. Image-based discovery exposes shoppers to new textures, fabrics, and designs. By reshaping consumer perception, it directly impacts fashion trends. Retailers can use this influence to position themselves as tastemakers.
Fashion Material Texture Preference Statistics #15 Brand Adoption Forecast (2025)
Around 30% of major e-commerce brands are expected to adopt visual search by 2025. This projection shows growing corporate investment in AI and discovery tools. Retailers recognize that visual search is becoming a standard expectation. Brands that delay adoption risk falling behind competitors. The forecast reflects industry consensus on the importance of visual technologies.
Fashion Material Texture Preference Statistics #16 Market Size Growth (2022–2032)
The visual search market is expected to grow from $9.2B in 2022 to $46.2B in 2032. This represents a CAGR of around 17.5% over a decade. Such growth shows rising global demand for AI-based discovery tools. Fashion is one of the biggest drivers of this expansion. The market trajectory confirms that visual search is here to stay.
Fashion Material Texture Preference Statistics #17 Top Retail AI Use Case (2025)
By 2025, product discovery via visual search is forecast as the top retail AI use case. This ranking highlights its dominance over other AI applications. Retailers prioritize visual discovery because it directly impacts sales. The trend shows that AI in fashion is becoming more consumer-facing. Visual search leads the way in practical adoption across online retail.
Fashion Material Texture Preference Statistics #18 Desire For Faster Decisions
82% of shoppers want AI or visual tools to help them make faster decisions. This reflects consumer frustration with lengthy browsing. Visual search simplifies choices by narrowing options quickly. Speed is becoming a key factor in user satisfaction. Retailers meeting this demand improve conversion rates and customer loyalty.
Fashion Material Texture Preference Statistics #19 Pinterest Visual Language Model
Pinterest launched a visual language model to interpret fashion images. This tool translates style cues into descriptors for easier search. It reflects how platforms are innovating beyond simple recognition. The technology helps users discover outfits matching their preferences. Such initiatives push visual search deeper into mainstream fashion usage.
Fashion Material Texture Preference Statistics #20 Brand Deployments
Zalando’s AI assistant attracted more than 500k users shortly after launch. This demonstrates the strong demand for image-based shopping tools. Consumers quickly engage when platforms make discovery seamless. The deployment validates the business case for investing in AI. It sets a benchmark for other fashion retailers entering the space.
Why Texture Truly Matters
Looking through these fashion material texture preference statistics reminds me that style is as much about feeling as it is about appearance. We don’t just buy fabrics—we buy comfort, reassurance, and sometimes even a small piece of identity woven into the fibers. Whether it’s the crispness of linen on a hot day or the soft warmth of socks on a chilly evening, textures shape the way we experience our wardrobes. For me, it’s clear that texture is more than data; it’s about the human side of fashion that connects us to what we wear. And that’s why understanding these preferences feels so personal and inspiring.
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