Visual Search Statistics By Usage, Technology And Facts (2025)

Introduction

Visual Search Statistics: Visual search is changing how people find things online. Instead of typing words, users can now search using pictures. This makes it faster and easier to look for products, places, or ideas just by using images. Big companies like Google, Pinterest, and Amazon use this technology to help users find what they need more quickly.

Visual search is becoming more popular yearly as more people use smartphones and cameras. Businesses are also using it to improve shopping experiences and attract more customers. This article will examine important statistics about visual search, how fast it grows, and why it matters in today’s digital world. These numbers can help us understand how visual search shapes the future of online search and shopping.

Editor’s Choice

• According to Adlift research analyses, the global visual search market is expected to reach USD 150.43 billion by 2032.
• Google Lens handles 20 billion visual searches monthly, of which about 20% are related to shopping.
• Visual Search Statistics show that over 85% of shoppers trust images more than text when buying clothes online.
• 60% of online shoppers prefer using pictures to search for products instead of typing words.
• The global visual search market is valued at USD 15 billion in 2025 and is expected to grow rapidly.
• Visual content gets 94% more views than text-only content, making it more engaging for users.
• Clothing (86%) and furniture (85%) are the top categories people use visual search the most.

(Source: windzoon.com)

• Research shows that 62% of millennials and Gen Z prefer using visual search over other types of search.
• According to a report by EMARKETERS, only 10% of U.S. adults use visual search regularly, but 42% are interested in trying it.
• Younger users (ages 16 to 34) are more likely to use visual search, with 22% having tried it, compared to older age groups.
• By 2025, 30% of major e-commerce brands are expected to integrate visual search into their platforms.

Types of Visual Search Contents Statistics

Visual Search User Demographic Statistics

• People aged 16 to 34 use visual search for shopping the most, with 22% saying they’ve tried it.
• Those between 35 and 54 use it a bit less, with 17% using it.
• The lowest use is among people aged 55 and older, only 5% have used visual search for shopping.

Online Shoppers Using Visual Search Statistics by Age Group

(Reference: medium.com)

Visual Search Usage Statistics

(Reference: emarketer.com)

• Only 9 to 10% of US adults used visual search regularly during this period, showing no big change.
• About 17 to 18% had used it before but don’t use it often now.
• Many people (17 to 22%) haven’t tried visual search but are interested in using it.
• Roughly one-fourth (24 to 26%) haven’t used it but are somewhat interested, making them likely to try it soon.
• 16 to 20% of people were not interested, meaning they didn’t plan to use it.
• A small group (6 to 8%) said they don’t know visual search, though awareness improved slightly in later months.

Consumer Behavior Statistics  Linked with Visual Search

• Many shoppers today rely on images to guide their purchases, as 78% say visuals help them decide.
• Around 58% of mobile searches are now done using visual tools.
• Meanwhile, 67% prefer visual search over typing words.
• About 70% of people worldwide like looking at pictures more than reading when researching products.
• Visual search also helps 50% of users feel more sure before buying.
• 42% of women use this method to find style ideas, and 49% of men use it to find tech items.
• Gen Z leads the way, with 63% believing visual search is the future.
• Overall, visuals help users discover new brands (31%), compare features (32%), and improve their experience (88%).

Top 5 Visual Search Companies in 2025

Visual Search Market Share by Industry

• Visual Search Statistics of 2025 show that visual search is used most in retail and online shopping (35%), where it helps customers find products faster and improves their shopping experience.
• In consumer goods (20%), people can quickly snap photos to locate the item they want.
• The auto industry (15%) uses it to help users recognise car models and parts.
• Doctors in healthcare (10%) use image search tools to diagnose problems more accurately.
• Fashion (8%) benefits shoppers by allowing them to find clothes by uploading photos.
• People use images for home decor (7%) to find similar furniture styles.
• Other industries, such as travel, education, and real estate (5%), are starting to use visual search to make services easier and more interactive for users.

By Product

• As of 2024, clothing (86%) and furniture (85%) are the top visual search categories.

Furthermore, other product types of visual search content shares are stated in the table below:

By Device Used

(Reference: smartinsights.com)

• According to Smart Insights reports, mobile phones are the most popular devices for visual search, with 53% saying their smartphone or mobile phones are the main devices they use for this type of search.
• Furthermore, other shares of devices used for visual search are desktop/laptop (37%) and tablet (10%).

By Format Adoption

(Reference: adamconnell.me)

• Visual Search Statistics also stated that almost half of all brands today use the WEBP format for their images, making it the most common choice at 49.5%.
• JPEG comes next with 19.9%, and AVIF takes third place at 13.3%.
• HEIC and PNG are tied in fourth, each used by 8.7% of brands.

By Region (From 2024 to 2033)

Visual Search Technology Statistics

• According to a report published by Gartner, in 2023, the accuracy level of top visual search engines was 85%.
• Google Lens handles over 10 billion visual searches every month.
• Visual search technology is improving fast, and accuracy improves by about 17% yearly.
• As per TechCrunch, around 52% of visual search tools now use AI to recognise objects.
• In retail, a quarter of all AI investments go into visual search.
• Visual Search Statistics further elaborated that approximately 80% of today’s visual search engines run on deep learning models.
• By 2024, the average time visual search tools take to give results is 2.3 seconds.
  Nearly half (47%) of developers say there’s growing demand for visual search APIS.
• 62% of SaaS platforms have made visual search a key feature.
• About 39% of AR (augmented reality) apps now include visual search features.
• In retail, 41% of machine learning projects now involve visual search.
• Visual search tools can now compare images with 94% similarity accuracy.
  Pinterest Lens uses data from over 200 million sources to deliver more accurate results.
• Amazon’s visual search supports more than 250 million product listings.
• Over the past three years, the cost of visual object detection systems has dropped by 30%.

Visual Search Marketing Statistics, 2025

• 36% of shoppers have used visual search when buying online, and more than half believe pictures are more important than words.
• Visual content attracts 94% more views than text-only content, showing how powerful visuals are in grabbing attention.
• Articles that include images get 94% more views than those without, proving the essential role of visuals in content marketing.
• Infographics are 30 times more likely to be read than purely textual articles, making them a powerful tool for information dissemination
• 62% of Millennials prefer visual search over other technologies, indicating a generational shift towards visual content.
• E-commerce websites that offer visual search options, such as “shop the look,” have seen a 20% rise in average order size.
• More than half of consumers (55%) say visual search has helped shape their style and preferences.
• Around 27% of searches across ten popular search platforms are image-based, highlighting the growing importance of visual content.
• As of 2025, 21% of advertisers think visual search is the top trend for their business, and 35% of marketers plan to optimise for visual search.
• The global visual content market reached USD 5.2 billion last year and is expected to grow to USD 19.17 billion by 2032 at a CAGR of 15.6%.

Best vs. Worst Performance of Visual Search Statistics

(Source: adamconnell.me)

• A recent survey found that original graphics work best for marketers, with 43% saying they got the best results.
• After that, 34% chose stock photos, followed by videos and presentations at 33%. Other types, like charts and data visuals (31%), multi-page documents (25%), and GIFS or memes (11%), were less effective.

Artificial Intelligence Integration in Visual Search

• Many visual search tools today use artificial intelligence (AI) to work better and faster.
• Around 82% of these platforms use AI to recognize images, and some reach up to 93% accuracy in detecting objects.
• AI also helps cut errors by 15% and boosts response speed by 22%.
• Statista reports further mentioned that nearly 70% of AI-based e-commerce sites now offer visual search, and 60% use neural networks to process images.
• Visual Search Statistics show that businesses benefit by 44% and see better returns after using AI visual search.
• It also helps predict what shoppers want with 85% accuracy and reduces support questions by 18%.

Benefits of Using Visual Search

• 80% of online shoppers say that using images to search for products helps them find what they need faster than typing keywords.
• 70% of businesses that use visual search report higher conversion rates.
• Visual Search Statistics also reports that around 60% of consumers use visual search tools to discover new products.
• 53% of retailers that use visual search see an increase in sales.
• Visual search technology helps businesses provide more accurate results, and 85% of shoppers are satisfied with their search results.
• 45% of users discover new brands through visual search.
• 75% of users prefer visual search because it feels more natural.
• Visual search allows businesses to improve their marketing strategies by understanding what kinds of images and products customers are searching for.

(Source: windzoon.com)

Challenges of Visual Search Technology

• It’s important to keep image data private and safe from misuse.
• Visual search tools must give correct and consistent results, even when using different types of images.
• Processing many images takes a lot of computer power, which can be costly.
• There are challenges with using images that might be protected by copyright or owned by someone else.
• Visual search systems must work well even when the internet is slow or the network is weak.

Future Initiatives of Visual Search Statistics

• Visual search is quickly becoming a major part of how people find products online. By 2030, the market is expected to grow at a rate of 19.8% each year.
• Around 85% of retailers plan to use visual search tools by 2027, and 1 in 3 online searches could be visual or voice-based by 2025.
• It’s also expected that 35% of e-commerce searches will be visual by 2026.
• Developers, marketers, and tech companies are focusing heavily on this trend.
• By 2030, 70% of digital platforms and 82% of e-commerce websites will likely include visual search.
• Consumers prefer it too; 68% think it’s more accurate than text.
• Altogether, visual search could grow into a USD 40 billion industry by 2032.

Conclusion

In conclusion, visual search is changing the way we find things online. Instead of typing words, we can now use images to search for products, places, and more. This makes searching faster and easier, especially when we don’t know the right words to describe something.

As technology improves, visual search will become more common in shopping, travel, and everyday life. It helps people find what they’re looking for more smartly. Overall, visual search is a helpful tool that makes online searching simpler and useful for everyone.