Recommerce has already become a meaningful part of consumer spending across fashion, electronics, luxury, furniture, collectibles and a growing range of other categories. Across the US and Europe, the second-hand market generates approximately $300bn in sales today, of which online platforms capture GMV of $153bn, or 51%.
We estimate that consumers across the US and Europe hold enough resalable products to support $835bn of annual resale activity. Online recommerce marketplaces generate approximately $153bn of GMV today, equivalent to just 18% of that annual sale potential.
The bigger question is how much more of the $835bn potential could be realized. Unlike traditional ecommerce, growth in recommerce depends on products that have already been bought finding their way back into circulation. EIV has reviewed the recommerce market potential from the perspective of the stock already sitting in consumers’ homes. Across nine verticals, we estimate that this inventory could support approximately $835bn of annual resale activity, implying that online recommerce today captures only around 18% of the potential market.
The size of that gap creates significant headroom, but unlocking it is not straightforward. More products need to become economical to sell, higher-value items need stronger trust and authentication, buyers need better ways to discover fragmented inventory, and professional operators need to process each item more efficiently.
How much resale supply exists in consumers’ homes?
There is approximately $3.5tn of annual US + Europe consumer spend on new goods across the nine verticals in our analysis. Taking into consideration the typical life span of those products, from around five to 20 years depending on the category, consumers have approximately $31.5tn of goods in their homes at original purchase price.
We then filtered that historical spend for what would still be in resalable condition and what those products would be worth today. That varies significantly by category: in fashion, we assume 40% of stock remains resalable at around 30% of its original value, while electronics retain a larger 66% resalable share at around 40% of value, and collectibles hold up much better at 75% and 80% respectively. This leaves an estimated $6.0tn of resalable stock in US and European homes.
Even among products that are still in a resalable condition, owners will of course want to hold onto some. That willingness varies by category: consumers are more likely to resell a replaced smartphone or an outgrown children’s product than a piece of furniture or a collectible to which they have developed an emotional attachment. Applying those category-level differences leaves around $3.3tn of stock that owners could realistically be willing to sell if the process was frictionless. Spread over a four-year release cycle, that translates into approximately $835bn of annual resale potential.
Based on published category-level market estimates and online penetration data, today’s secondhand market across these categories is approximately $300bn, with around 51%, or $153bn of GMV, transacted online. The remaining 49% moves through offline channels such as physical resale stores, dealers and local secondhand networks. Today’s $153bn of online recommerce GMV therefore represents only around 18% of the $835bn annual sale potential we estimate across the US and Europe.
The opportunity now largely depends on how much of that latent supply can be brought online. The scale of the upside varies materially by vertical, driven by current online penetration and how much technology can improve the economics of bringing additional inventory to market.
What could drive the next leg of online recommerce growth?
We estimate online recommerce GMV across the US and Europe could grow from approximately $153bn today to $276bn by 2030, increasing penetration of annual sale potential from 18% to 33%. That implies around $123bn of additional online GMV over the next five years.
We see four areas that could drive that growth: lowering listing friction, improving trust and authentication, improving discovery and matching, and reducing the cost of processing each item. Together, these changes can increase the amount of inventory that becomes economically viable for resale and improve the probability that listed items actually transact.
1. Lower listing friction brings more dormant supply online
For many consumers, the first barrier is the work involved in selling an item. The seller may need to identify the product, take photographs, describe its condition, research a price, populate attributes, answer buyer questions and organise fulfilment. The effort is easy to justify for a high-value handbag or smartphone and much harder to justify for a low-value shirt or toy.
AI-assisted listing can compress several of those steps into a single workflow. A photograph can increasingly identify the item, generate a title and description, populate attributes and recommend a price. Trade-in, buyback and branded resale programmes simplify the supply journey further by giving consumers a direct route back into the secondary market.
Early platform evidence suggests that supply responds quickly when friction falls. Depop reported a 30-45% increase in listings after seller fees were removed. Carousell has reported 20% more items listed per seller with AI listing, while eBay has reported 50% more new listings per lister with AI listing. These examples point to a sizeable pool of inventory that can become active when the seller workflow becomes easier.
2. Better trust and authentication can expand high-value categories
Trust is a larger constraint in categories where buyers struggle to assess the item from a basic listing. A secondhand smartphone needs reliable information on functionality, battery health and condition, a luxury buyer needs confidence in authenticity and provenance, or a collectibles buyer may care about exact identification, grading and historical value.
Diagnostics, authentication software, image recognition and richer product data can reduce this information gap. The effect is especially important for valuable inventory because confidence affects both sides of the marketplace. Buyers are more willing to transact remotely, and owners have a stronger reason to sell assets into an online channel when the platform can support a credible sale.
3. Better matching improves liquidity
Every secondhand item is effectively a unique SKU. Two products with the same model can differ by size, condition, colour, age, location and price. As the volume of inventory grows, discovery becomes increasingly important to marketplace liquidity.
Visual search, natural-language search and more personalised recommendations can improve the probability that each item reaches the buyer most likely to value it. We are already seeing this translate into measurable marketplace outcomes. At Wallapop, using Albatross’ similar-items technology increased catalogue coverage from below 50% to 94%, while conversion to a sold item rose by almost 50%.
The same problem is also creating a new layer of buyer-side infrastructure. Beni searches across 40+ resale sites from a product image or screenshot, while Faircado aggregates millions of secondhand offers across marketplaces. As resale inventory becomes more fragmented, tools that make that supply easier to discover should improve both sell-through and the value of putting additional inventory online.
4. Lower processing cost expands the range of viable inventory
Professional sellers and managed recommerce businesses face the same friction at greater scale. Each item may need to be received, identified, inspected, graded, photographed, priced, listed, stored and supported through the transaction. Labour per item therefore has a direct effect on the minimum resale value a business can handle economically.
A growing group of enablers is attacking those manual steps. Minimist can turn a photograph into a publish-ready listing in under 30 seconds, while VNYX automates parts of the physical workflow by grading, sorting, cleaning, photographing and listing fashion inventory. ResaleOS shows how these functions can converge further, combining pricing against sold comparables, listing and distribution across 30+ marketplaces, payments and vendor payouts.
As more of these steps become automated, the impact extends beyond improving margins on existing transactions. Lower processing cost can make lower-value products economical to resell, allowing operators to handle a broader pool of inventory and increase throughput from the same operating base.
Which categories could drive the most growth?
Electronics and fashion account for approximately $82bn of the $123bn incremental GMV in our forecast, close to two-thirds of the total. Both categories have large pools of resalable stock, established online consumer demand and several digital frictions that technology can address.
Electronics has approximately $164bn of annual sale potential in our model and generates around $43bn of online GMV today, equal to 26% penetration. We estimate that online GMV can approximately double to $86bn by 2030. Diagnostics, instant pricing, trade-in infrastructure and automated grading can improve both the supply journey and processing economics.
Fashion starts from a more developed online market. It already captures around 37% of its $130bn annual sale potential, with approximately $49bn of GMV today. We still expect around 80% growth to approximately $88bn by 2030. Listing automation, visual discovery, recommendations and seller tools can continue to expand supply and improve sell-through at a very large scale.
Luxury has the largest annual sale potential in the analysis at approximately $214bn and the lowest current online penetration among the major categories at around 7%. We estimate online GMV can grow from approximately $15bn to $30bn by 2030. Authentication, pricing, cataloguing and discovery all address meaningful parts of the transaction, creating substantial room for online growth.
Collectibles and Baby & Kids also have the potential to approximately double from smaller online bases. Collectibles can benefit from better identification, grading, pricing data and trust. Baby & Kids benefits from frequent product turnover as children outgrow items, while easier listing and resale flows can make lower-value products more practical to sell.
Furniture, Car Parts and Books have lower assumed technology uplifts in our model. Furniture retains a large physical logistics burden around collection, storage and delivery. Car Parts can benefit from better identification and compatibility data, although much of the supply sits inside professional dismantler networks and specialist workflows. Books already have relatively simple identification through ISBNs and barcodes, leaving less listing friction for AI to remove.
Our view
Supply-side enhancements will drive recommerce marketplace and platform growth. Making it easier for owners to release inventory can be as valuable as acquiring another buyer, especially in categories where valuable stock already exists in consumers' homes.
Sell-through will matter just as much as listing growth. More inventory creates value when search, recommendations, pricing and trust tools help it transact. Marketplaces that improve both supply creation and matching should be able to support a larger and healthier pool of inventory.
The infrastructure layer will also become more important as recommerce scales. The workflows behind trade-in, diagnostics, authentication, pricing, listing, distribution and resale operations can determine how much inventory a platform can process profitably. Vertical-specific tools become especially valuable where the product requires specialist data or physical handling.
By 2030, our model takes online recommerce GMV across the US and Europe from approximately $153bn to $276bn, increasing penetration of annual sale potential from 18% to 33%. That still leaves substantial stock outside online recommerce and gives the sector a long runway for further growth.
EIV is very active in the funding and sale of recommerce marketplaces and platforms. If you own one or are building one, we would love to hear from you.
