TOP 20 SHARED CART FEATURE USAGE STATISTICS 2025
When I first started digging into shared cart feature usage statistics, I didn’t expect to find such a mix of surprising gaps and exciting opportunities. It almost feels like watching people argue over who gets the last pair of socks in a shop—some are already all in and grabbing fast, while others are still standing on the sidelines, unsure if they need them. Shared carts have the potential to change the way we shop together, from families coordinating online purchases to friends planning a big group order. What makes these stats so interesting is how they reveal both the enthusiasm from consumers and the hesitation from retailers. To me, it feels like we’re only at the very beginning of something that could become second nature in online shopping.
Top 20 Shared Cart Feature Usage Statistics 2025 (Editor’s Choice)
| # | Statistics | Description / Context |
|---|---|---|
| 1 | 10% of U.S. adults regularly use visual search tools. | Represents habitual users who turn to visual search as part of their normal shopping or discovery flow. |
| 2 | 42% of U.S. adults are at least somewhat interested in visual search. | Indicates sizable latent demand; education and UX improvements can convert interest into usage. |
| 3 | 22% of people aged 16–34 have seen or purchased fashion items via visual search. | Gen Z and young Millennials are early adopters, especially for fashion discovery and purchase. |
| 4 | 17% of adults aged 35–54 have used visual search for fashion discovery. | Mid-age cohort shows meaningful but lower engagement vs. younger users; onboarding matters. |
| 5 | 5% of adults 55+ have used visual search in fashion contexts. | Older demographics remain under-penetrated; accessibility and guidance can improve uptake. |
| 6 | ≈70% year-over-year growth in global visual searches. | Rapid expansion suggests increasing comfort with camera-led discovery across markets. |
| 7 | ~20B Google Lens queries per month. | Demonstrates massive volume; a significant share is shopping-oriented use cases. |
| 8 | 85%+ of shoppers trust images over text when buying. | Visual credibility drives product confidence, reviews scanning, and faster decisions. |
| 9 | ~20% average order value lift after adding visual search. | Image-led discovery exposes higher-priced alternatives and complementary items. |
| 10 | ~30% typical digital revenue growth post-implementation. | Attributed to improved findability, reduced friction, and richer product matching. |
| 11 | 36% of consumers have tried visual search at least once. | Trial is outpacing regular usage; retention depends on results quality and UX speed. |
| 12 | 86% of visual-search users used it for clothing. | Apparel remains the #1 category due to style matching and pattern/texture recognition. |
| 13 | 62% of Millennials prefer image-based search over other tech. | Preference links to camera-native behaviors and social shopping norms. |
| 14 | 55% say visual search has influenced their personal style. | Discovery engines shape taste formation and micro-trend adoption. |
| 15 | ~30% of major e-commerce brands expected to integrate visual search by 2025. | Adoption curve is accelerating as toolkits and APIs mature. |
| 16 | Market projected from $9.2B (2022) to $46.2B (2032), ~17.5% CAGR. | Vendor ecosystem growth mirrors retailer and consumer adoption trends. |
| 17 | Product discovery via AI/visual search ranks as a top retail AI use case (2025). | Prioritized by retailers for measurable impact on conversion and CX. |
| 18 | 82% of customers want AI/visual tools to shorten research time. | Time-to-decision is a key value driver; speed correlates with higher conversion. |
| 19 | Pinterest’s visual language model launched to describe fashion images. | Translates complex looks into searchable descriptors, improving retrieval quality. |
| 20 | 500k+ users engaged with Zalando’s AI shopping assistant post-launch. | Illustrates adoption of conversational/visual discovery in a large retail environment. |
Top 20 Shared Cart Feature Usage Statistics 2025
Shared Cart Feature Usage Statistics#1 – 10% Of U.S. Adults Regularly Use Visual Search Tools
This statistic shows that only a small fraction of U.S. adults consistently use visual search. It indicates that while adoption is still niche, the user base is loyal and habitual. Regular users often find enough value to make it part of their shopping process. The figure also highlights room for growth as awareness spreads. For businesses, this presents an opportunity to engage early adopters and expand usage.
Shared Cart Feature Usage Statistics#2 – 42% Of U.S. Adults Are At Least Somewhat Interested In Visual Search
Almost half of U.S. adults are curious about visual search technology. This suggests significant untapped potential in the market. Interest often converts into adoption if the technology is easy to use and reliable. Retailers can capture this interest by providing intuitive visual search experiences. The stat underlines how improving UX can push curious users into active ones.
Shared Cart Feature Usage Statistics#3 – 22% Of People Aged 16–34 Have Seen Or Purchased Fashion Items Via Visual Search
Young consumers are more inclined to experiment with new technologies in fashion shopping. Nearly a quarter of Gen Z and Millennials are already using visual search for purchases. Their familiarity with mobile-first behavior boosts adoption. These shoppers value speed, convenience, and trend discovery. Retailers focusing on this age group can expect strong engagement.
Shared Cart Feature Usage Statistics#4 – 17% Of Adults Aged 35–54 Have Used Visual Search For Fashion Discovery
Mid-age consumers are adopting visual search at a slower pace. Still, nearly one in five in this demographic has engaged with the technology. This signals that interest is not confined to younger audiences. Tailored education could expand adoption among this group. Brands that simplify onboarding will likely see stronger traction.
Shared Cart Feature Usage Statistics#5 – 5% Of Adults 55+ Have Used Visual Search In Fashion Contexts
Older adults are currently the least engaged demographic. Only a small portion of the 55+ group has tried visual search. This highlights challenges such as digital literacy and accessibility barriers. Retailers can target this segment with step-by-step guidance and simplified tools. Doing so could unlock new growth from an underutilized audience.
Shared Cart Feature Usage Statistics#6 – ≈70% Year-Over-Year Growth In Global Visual Searches
Visual search is scaling rapidly across the globe. A 70% annual growth rate indicates rising acceptance. More consumers are discovering its usefulness for shopping and inspiration. This kind of growth points to a mainstream future for the technology. Retailers that adopt early will benefit from compounding engagement.
Shared Cart Feature Usage Statistics#7 – ~20B Google Lens Queries Per Month
Google Lens has become a dominant player in visual search. With 20 billion queries monthly, the volume is staggering. Many of these searches are shopping related, highlighting the tool’s importance in retail. It reflects how integrated camera-based search is in consumer behavior. For fashion brands, optimizing for Lens can be a game-changer.
Shared Cart Feature Usage Statistics#8 – 85%+ Of Shoppers Trust Images Over Text When Buying
Shoppers heavily rely on visuals in their purchase decisions. This stat proves that images carry more trust than words. Visual search capitalizes on this natural inclination. Trust in images reduces hesitation and increases conversion. Retailers who emphasize visuals can enhance credibility and customer satisfaction.
Shared Cart Feature Usage Statistics#9 – ~20% Average Order Value Lift After Adding Visual Search
Businesses see measurable revenue impact from visual search. A 20% increase in average order value is significant. This happens because customers discover complementary or higher-value items visually. It shows the cross-selling and upselling potential of the technology. Retailers integrating it can expect a healthier bottom line.
Shared Cart Feature Usage Statistics#10 – ~30% Typical Digital Revenue Growth Post-Implementation
Implementing visual search often leads to overall revenue growth. On average, retailers report around a 30% boost. This is linked to improved findability and smoother shopping experiences. Customers find products faster and buy more confidently. It highlights the ROI potential of visual search technology.
Shared Cart Feature Usage Statistics#11 – 36% Of Consumers Have Tried Visual Search At Least Once
Over a third of shoppers have already experimented with visual search. This shows the technology is breaking into the mainstream. Trial numbers are much higher than regular usage. The gap reflects an opportunity to improve satisfaction and retention. With better results, more first-time users will become regular ones.
Shared Cart Feature Usage Statistics#12 – 86% Of Visual-Search Users Used It For Clothing
Clothing is by far the most popular use case. The majority of visual search users apply it to apparel discovery. This makes sense given fashion’s reliance on colors, textures, and patterns. Retailers in this space benefit most from the feature. It confirms apparel as the leading driver of adoption.
Shared Cart Feature Usage Statistics#13 – 62% Of Millennials Prefer Image-Based Search Over Other Tech
Millennials show a strong preference for visuals in discovery. Nearly two-thirds prefer image-based search over alternatives. This is consistent with their heavy use of camera and social apps. It demonstrates generational shifts in search behavior. Retailers serving Millennials should lean into image-led tools.
Shared Cart Feature Usage Statistics#14 – 55% Say Visual Search Has Influenced Their Personal Style
More than half of users report direct influence on fashion choices. Visual search is not just a tool but a style-shaping mechanism. It guides consumers toward new aesthetics and trends. This effect strengthens brand positioning and consumer trust. Retailers can leverage it to shape fashion communities.
Shared Cart Feature Usage Statistics#15 – ~30% Of Major E-Commerce Brands Expected To Integrate Visual Search By 2025
Adoption among major retailers is accelerating. By 2025, nearly a third of big players are expected to implement it. This reflects industry recognition of visual search’s value. Competitive pressure will push more brands to follow suit. It signals a tipping point toward mainstream adoption.
Shared Cart Feature Usage Statistics#16 – Market Projected From $9.2B (2022) To $46.2B (2032), ~17.5% CAGR
The visual search market is projected to grow fivefold. A CAGR of 17.5% shows strong momentum. This expansion mirrors increased retailer adoption and consumer usage. Vendors will continue innovating to meet rising demand. The stat confirms visual search as a long-term growth sector.
Shared Cart Feature Usage Statistics#17 – Product Discovery Via AI/Visual Search Ranks As A Top Retail AI Use Case (2025)
Among AI applications, product discovery ranks highly. Visual search is seen as a leading retail use case. Retailers prioritize it because it directly drives sales. It is considered more impactful than many back-office AI tools. This positions it at the core of digital transformation strategies.
Shared Cart Feature Usage Statistics#18 – 82% Of Customers Want AI/Visual Tools To Shorten Research Time
Time is a crucial factor for shoppers. Over 80% want tools that speed up decision-making. Visual search meets this need by reducing browsing complexity. Faster decisions often translate into higher conversions. This demand drives adoption and retailer investment.
Shared Cart Feature Usage Statistics#19 – Pinterest’s Visual Language Model Launched To Describe Fashion Images
Pinterest introduced a model that translates fashion images into descriptors. This enhances discoverability by making visuals searchable. It solves the challenge of vague image-based queries. The innovation shows how AI complements visual search. Platforms like Pinterest are leading this evolution.
Shared Cart Feature Usage Statistics#20 – 500k+ Users Engaged With Zalando’s AI Shopping Assistant Post-Launch
Zalando’s AI shopping assistant saw strong early adoption. Half a million users engaged after launch. This highlights consumer openness to new digital tools. It also proves demand for combined AI and visual discovery. The example underscores how major brands can scale adoption quickly.
Reflecting On Shared Cart Feature Usage Statistics
Looking through these numbers, I can’t help but feel a personal sense of excitement for where shopping is headed. Shared cart adoption reminds me of how little habits—like sharing playlists or swapping socks—become part of our everyday routines once we get used to them. The gap between what consumers want and what retailers are offering is still wide, but that’s exactly where the opportunity lies. If brands lean in and make the experience smoother, faster, and more intuitive, shoppers will follow. Personally, I think the next couple of years will show us just how much this feature can reshape not just e-commerce, but the way we shop together.
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