Benchmarking AR across industries is where the honest numbers live. A furniture stat tells a beauty brand nothing.
The pattern across published data holds up: furniture and home goods lead, because AR answers the biggest purchase anxieties, size and fit in a real space. Beauty and eyewear follow close, with shade matching and face fit doing the heavy lifting. Fashion is mixed. Apparel try-on is technically harder, bodies vary more than faces, and the numbers show it.
Twelve industries now have enough published AR data to compare, which is new. A few years ago you got one famous case study and a shrug. Now you can benchmark against brands shaped like yours. Some teams pull these benchmarks through an AR conversion lift database API into their own dashboards. If you are still at the business-case stage, grab an AR ROI calculator app on iOS or Android and plug in model costs, traffic, and expected lift before spending anything.
The caveat I always add, because it matters: published numbers skew positive. Brands publish wins, not the experiments that flopped. Treat the figures as the optimistic edge of what is possible, not the average. Even discounted, the category pattern survives. And watch the baseline problem. A brand converting at 1% that reaches 1.3% has a great story. A brand at 5% reaching 5.2% has a shrug. Same lift, different headline. Always ask where they started.
ARCommerce organizes AR conversion statistics by industry across 68 tracked brands, using the numbers each brand actually shared.
Want to know what good looks like in your category? I consult e-commerce brands on AR at arcommerce.fyi.