A power drill is used for an average of 12 to 15 minutes over its entire lifetime. That’s not a metaphor — it’s the empirical starting point of an industry that has spent over a decade trying to monetize that potential. The fact that no European market leader has emerged despite billions in investment and dozens of well-funded platforms tells you more about the structural realities of this market than any growth forecast.
This page documents what is actually measurable — with sources, explicit uncertainty ranges, and clear separation from the related but fundamentally different markets of short-term accommodation (Airbnb) and P2P car-sharing.
Quick navigation: Definition · Utilization paradox · Market size · Platform landscape · Graveyard · Why it’s harder · Fragmentation · Sources
Researching this topic? We publish data from a live P2P rental marketplace. Open for interviews, data requests, and expert quotes — hi@mietzekater.de
What P2P Goods Rental Is — And What It Isn’t
Before the numbers: the category needs a clean definition, because market-wide “sharing economy” statistics routinely add apples to oranges.
P2P goods rental as used in this analysis covers short-term rental of everyday objects between private individuals via digital platforms. Typical categories: tools, cameras and tech equipment, event and party gear, outdoor and sports equipment, musical instruments, household items.
Explicitly excluded from this category:
| Category | Examples | Why it’s not P2P goods rental |
|---|---|---|
| Short-term accommodation | Airbnb, VRBO | Different regulatory regime, different insurance, high transaction value, long rental duration |
| P2P car-sharing | Turo, Getaround | Motor vehicle law, mandatory liability insurance, defined liability frameworks |
| B2B equipment rental | United Rentals, Loxam | Commercial renters, different unit economics, no stranger-trust problem |
| Bike-sharing | Tier, Lime | Station-based or dockless, no genuine P2P character |
This distinction is not academic — it’s operationally critical. Citing the total sharing economy market size ($250B–$2T depending on who you ask) as context for P2P goods rental is comparing apples to vineyards.
The Utilization Rate Paradox: The Theoretical Foundation
The theory is sound: most consumer goods are barely used by their owners. “There are 80 million power drills in America that are used an average of 13 minutes,” Airbnb CEO Brian Chesky told the New York Times in 2013. “Does everyone really need their own drill?”
The theoretical foundation is solid. The question is why it hasn’t translated into a stable, scalable business model — at least not at scale.
Market Size: What’s Actually Being Measured
Market research reports on P2P rental require careful reading, as many use incoherent definitions. Here are the most relevant data points with explicit sources:
| Segment | Market Size (2024) | Forecast | CAGR | Source |
|---|---|---|---|---|
| Global P2P rental apps (all categories) | $18.1B | $84.7B (2034) | 11.2% | market.us, 2024 |
| Europe: Personal & Household Goods Rental | €23.8B | — | 3.2% p.a. | IBISWorld Europe, 2026 |
| P2P tool lending apps (P2P model segment) | ~$797M | — | 12.9% | DataIntelo, 2025 |
| Global camera equipment rental market | $875M | $1.56B (2030) | 8.6% | QY Research, 2024 |
| Germany: total sharing economy | $23.5B | $45.6B (2034) | 6.9% | Allied Market Research, 2024 |
Important caveat: The €23.8B European figure for Personal & Household Goods Rental includes traditional commercial rental operators (furniture rental, equipment depots), not just P2P. The actual P2P share is considerably smaller — and structurally different.
The Platform Landscape: Who’s Still Standing
| Market | Platform | Founded | Funding | Status |
|---|---|---|---|---|
| 🇸🇪 Sweden / 🇬🇧 UK | Hygglo (incl. Fat Llama UK) | 2016 (SE) / 2016 (UK) | $41.5M (acquisition) | Active, rebranded Nov 2025 |
| 🇳🇱 Netherlands | Peerby | 2012 | $6.97M (8 rounds) | Active, profitable since 2022 |
| 🇫🇷 France | Getaround (fmr. Drivy) | 2010 | ~$800M total | Active, car-sharing focus |
| 🇩🇪 Germany | Mietzekater, Fainin | 2022+ | Early stage | Growing |
| 🇺🇸 USA | Fat Llama US (Hygglo) | 2016 | Incl. Hygglo deal | Active |
| 🇨🇭 Switzerland | Sharely | 2013 | n/a | Active |
Hygglo/Fat Llama as a case study: Fat Llama was founded in London in 2016 and became one of Europe’s best-known P2P rental platforms before being acquired by Sweden’s Hygglo in August 2022 for $41.5M. At the time of acquisition, the platform had over 350,000 items listed. Its top lender earned more than £250,000 in rental income in 2021. The top 500+ lenders regularly earned more than £12,000 per year. In November 2025, the Fat Llama brand was renamed Hygglo.
Peerby as a case study: Peerby launched in 2012 as a neighbourhood-sharing pioneer. Its free model of the early years proved “untenable” — the platform was forced to pivot in 2017. After relaunching in 2019 with a paid membership model, revenue grew 200% in 2020 and 222% in 2021. In Amsterdam, 1 in 4 households is a member. More than 500,000 items have been shared across the platform.
The Platform Graveyard: Documented Cases
This is the section other market reports leave out. P2P goods rental has an unusually high mortality rate even by startup standards — and the failure patterns are instructive.
Academic research documented 122 failed P2P and sharing economy platforms worldwide in a single database study in 2017 (GitHub: eveferon/P2PSCCGraveyard).
Here are the documented cases with a P2P goods rental focus:
SnapGoods (USA, 2010–2012)
What it was: A pioneer of peer-to-peer gear rental. One of the most-cited examples from the early sharing economy.
What happened: Shut down August 2012 — quietly, without official announcement. Disappeared “poof, without a trace” (Steven Hill, New America Foundation). Was nonetheless cited by journalists for years afterwards as an active example of the sharing economy.
Core problem: Never reached critical mass in its hyper-local markets. Too early for the smartphone adoption needed to make it work.
Lumoid (USA, 2012–2017)
What it was: Tech and camera gear rental, Y Combinator alumni. Had landed a partnership deal with Best Buy.
What happened: Shut down December 2017 despite ~$6M in funding. Founder Aarthi Ramamurthy: “Sometimes customer demand, a deal with Best Buy and investors believing in your vision just aren’t enough, especially when it comes to scaling the business.”
Core problem: Couldn’t secure the financing round needed to execute the Best Buy partnership. Physical equipment rental unit economics.
Omni (USA, 2014–2019)
What it was: Storage + equipment rental platform. Had raised $35M in VC funding.
What happened: Shut down November 2019. TechCrunch: “Another victim of a venture capital-subsidized business offering a convenient service at an unsustainable price.”
Core problem: “Too big of a shift in behavior for merchants and users” when pivoting to a whitelabel model. Margins too thin against Amazon delivery.
Zilok (France, ~2008–2023)
What it was: One of the earliest European P2P rental marketplaces. Active for over 15 years — unusually long-lived for a company of this type.
What happened: Shut down in 2023 after 15+ years. Cited reasons: growing regulatory burden, trust erosion through disputes, rising operating costs.
Core problem: Fee structures required for secure transactions eroded already thin margins. Regulatory requirements (insurance, tax reporting) grew heavier over time.
Circutus (Finland, 2023–2025)
What it was: P2P rental platform for consumer goods, launched March 2023.
What happened: Filed for bankruptcy December 2025. Founder Lotta Lilja: “The user base was growing, but we hadn’t yet had time to accumulate enough customers to make the revenue stream clearly positive.”
Core problem: Initial capital wasn’t enough to reach critical mass. A third angel investor’s commitment fell through at the last moment.
The Pattern Behind the Failures
Collaborative Consumption Research analysed 45 significant failed sharing economy platforms and identified five primary failure factors:
| Rank | Failure cause | Share of cases |
|---|---|---|
| 1 | Critical mass not reached (scale problem) | 24% |
| 2 | Unclear value proposition | ~20% |
| 3 | Lack of product focus (too broad, too geographic) | ~18% |
| 4 | Insufficient funding | ~16% |
| 5 | Regulation | ~12% |
Source: Collaborative Consumption, “Mapping Failure”, 2014. Percentages based on analysis of 45 platforms.
Why P2P Goods Rental Is Harder Than Airbnb and Car-Sharing
The most common mistake in sharing economy analyses is conflating P2P accommodation, car-sharing, and goods rental. The structures are fundamentally different:
| Feature | Accommodation (Airbnb) | P2P Car-Sharing (Turo) | P2P Goods Rental |
|---|---|---|---|
| Transaction value | High (€100–800/night) | Medium (€30–150/day) | Low (€5–60/day) |
| Booking frequency per host/year | 30–100 nights | 20–60 days | 2–12 bookings |
| Geographic radius | National/international | Regional | Hyper-local (< 10 km) |
| Insurance framework | Established (liability) | Established (mandatory auto) | Unclear, complex |
| Standardization possible? | Partially (room = room) | Yes (car = car) | Barely (every item unique) |
| Network effect type | Global | Regional | Strictly local |
| CAC vs. LTV | High LTV absorbs CAC | Medium | Low LTV = CAC problem |
| Payment processing cost | Absorbable (high LTV) | Absorbable (medium LTV) | ~20% of commission per booking |
The low booking frequency is the decisive structural problem. An active Airbnb host has 60–100 booking nights per year. An active P2P goods rental lender has 6–12 bookings per year — at a fraction of the per-transaction value. This makes LTV structurally low and paid CAC almost always unprofitable. On top of this, payment processing fees (~2–3% on GMV) consume ~20% of commission revenue before any other operating cost — at a 15% take rate, roughly €1.41 of every €6.00 earned goes to the payment processor. → Full unit economics breakdown
Fragmentation: Why No Global Champion Has Emerged
Airbnb is global. Uber is global. Why isn’t there an equivalent for goods rental?
The answer lies in geography. With goods rental, supply must be within a few kilometres of demand — there is no low-cost delivery option. This means:
- Every city is its own cold-start problem
- National expansion doesn’t help: a lender in Vienna doesn’t help a renter in Munich
- Network effects are strictly local, not global
Added to this is category dependency: tool renters are not camera renters are not event gear renters. A platform that offers “everything” is fighting on all fronts simultaneously — without the depth of a niche platform.
This is structurally different from Airbnb (every room in an attractive city strengthens the global network) or Uber (every driver increases global brand trust).
Data Sources & Methodology
| Source | Type | Used for |
|---|---|---|
| market.us, P2P Rental Apps Market Report 2024 | Market research | Global market size |
| IBISWorld Europe, Personal & Household Goods Rental 2026 | Market research | European market size |
| DataIntelo, Peer Tool Lending App Market 2025 | Market research | Tool segment |
| Allied Market Research, Germany Sharing Economy 2024 | Market research | Germany data |
| QY Research, Camera Equipment Rental 2024 | Market research | Camera segment |
| Rachel Botsman, TED 2010 / Nesta UK Blog | Primary source | Power drill statistic |
| Arun Sundararajan, NYU Stern (cit. Bloomberg 2016) | Academic | US drill data |
| TechFundingNews, Hygglo/Fat Llama 2022 | News | Fat Llama acquisition data |
| Peerby Pressroom, May 2022 | Press release | Peerby metrics |
| TechCrunch, Lumoid Shutdown 2017 | News | Lumoid case study |
| TechCrunch, Omni Shutdown 2019 | News | Omni case study |
| Collaborative Consumption, “Mapping Failure” 2014 | Research | Failure pattern analysis |
| eveferon/P2PSCCGraveyard, GitHub 2017 | Academic | 122 failed platforms |
| Circutus/Uusiouutiset, December 2025 | News | Circutus case study |
| ITF, 2025 | Mobility research | Car-sharing utilization rates |
| Nielsen Global Survey | Survey | Consumer willingness to rent |
Methodological limitations:
- Market sizes for “P2P goods rental” (excluding housing and cars) are not precisely isolated by any single source
- Platform-specific transaction data is mostly not public
- Booking frequency figures for P2P lenders are based on platform statements, not independent verification
- This page mixes verified data with estimates — uncertainties are explicitly flagged
Related Resources
- Sharing Economy Marketplace Blueprint — What to do with this data: the lender-first framework, cold start tactics, and how to build a platform that survives the structural problems documented here
- P2P Marketplace Economics Calculator — Model your own take rate, booking value, and team size against the revenue waterfall — interactive and built on the same numbers as this article
- Why P2P Rental Marketplaces Fail — Narrative analysis of the structural problems: CAC/LTV math, payment fees, trust bottlenecks, geographic dispersion, and five platform autopsies
- Collaborative Consumption Glossary — Definitions for all technical terms in this article: GMV, Take Rate, LTV, CAC, Liquidity Threshold, Trust Stack, and more
Last updated: June 2026. Corrections and additions welcome — hi@mietzekater.de