Quick definition: Equipment-as-a-Service (EaaS) is a business model in which customers pay for the availability, usage, or output of equipment – while the provider retains ownership and takes responsibility for keeping it running. Often found under labels like pay-per-use, subscription, or contracting – but EaaS goes beyond pricing by including operational responsibility on the provider side.
Global EaaS market size 2024
Worldwide adoption rate
IoT Analytics
Avg. EBIT aftermarket vs. 10% new equipment
McKinsey
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A concrete example: a recycling company needs an industrial shredder. Instead of buying the machine for several hundred thousand euros, they pay a monthly fee to Lindner Recyclingtech to use it. Lindner keeps ownership, handles maintenance and spare parts, and the customer pays based on how much they shred. The recycling company gets the capacity they need without the investment. Lindner gets a long-term customer with recurring revenue. That is Equipment-as-a-Service.
The market uses many labels – pay-per-use, contracting, subscription model, fleet management. These describe pricing mechanisms. Equipment-as-a-Service is the business model underneath. Research by the Bosch IoT Lab at the University of St. Gallen and ETH Zurich, analysing over 200 manufacturers, identifies three structural elements that define EaaS:
This shifts the provider’s role from equipment seller to performance partner. The relationship does not end at delivery – it begins there.
The actual purchase motivation in successful EaaS models is almost never “no upfront investment” alone. The real drivers are planning certainty, guaranteed availability, faster technology upgrades, relief from skilled-labour shortages, reduced operational complexity, and data-based optimisation. This is why pure price messaging consistently underperforms.
Equipment margins are under permanent pressure. Service and aftermarket consistently generate two to ten times higher profit margins than selling new machines – yet most equipment manufacturers capture only a fraction of this potential. Production volumes in European machinery have been contracting for years, while input costs and competitive pressure from Asian manufacturers continue to rise.
On the customer side, demand for operational flexibility is growing. FH Wien research identifies high upfront investment and the absence of flexible financing as the biggest purchase barriers for industrial equipment. Deloitte describes how customers increasingly request OPEX models – buying three to four machines outright but wanting the remaining one to two on demand.
Equipment-as-a-Service has emerged in this context – not as a technology trend, but as a direct response to converging economic pressures on both sides of the transaction.
Yet the opportunity remains largely untapped: IoT Analytics estimates current worldwide EaaS adoption at under 1%, with the global market at $21.2 billion. A separate IFS/Accenture report found that 94% of manufacturers say new service models are already influencing their operations – but only 25% have fully embedded them. The gap between strategic relevance and operational reality is where the opportunity sits.
The following pain points explain why Equipment-as-a-Service is gaining traction across industries – drawing on Deloitte, McKinsey, VDMA, and IFS/Accenture research. Understanding these helps position EaaS against the right customer problems, not just as a financing alternative.
EaaS shifts focus to recurring, higher-margin service revenue instead of one-time hardware deals.
EaaS lowers entry barriers, aligns costs with usage, and enables capacity without full upfront investment.
McKinsey puts demand swings in mechanical engineering at 5-20 percentage points above customer industries. Flexible models monetise peaks and avoid fixed-cost overhangs.
IFS/Accenture: 98% of manufacturers report skilled labour shortages. Providers can absorb monitoring, maintenance, and operational tasks – reducing the burden on the customer.
Long-running EaaS contracts increase lock-in, service touchpoints, upgrade frequency, and revenue predictability. Hilti manages over 1M tools and 100,000 fleet customers under contract.
EaaS requires telemetry – which in turn enables predictive maintenance, portfolio steering, and data-based pricing improvements over time.
Sources: Deloitte EaaS Report, McKinsey Industrial Aftermarket Services, IFS/Accenture State of Service 2025, VDMA 2025, Wortmann, Gebauer, Lamprecht & Fleisch: Understanding Products as Services (Emerald Publishing, 2024)
EaaS is frequently confused with leasing or rental. The core distinction: in both leasing and rental, performance and maintenance responsibility sit largely with the customer. In EaaS, the provider assumes ongoing operational responsibility. That changes contracts, financing, and operations fundamentally.
| Leasing | Rental | Equipment-as-a-Service | |
|---|---|---|---|
| Ownership | Lessor | Rental company | Provider |
| Performance risk | Customer | Customer | Provider (shared) |
| Maintenance | Customer | Rental company | Provider |
| Typical duration | Fixed term | Short-term | 24–60 months |
| Cost structure | CAPEX / OPEX | OPEX | OPEX |
| Bundled services | Rarely | Partially | Yes - core part |
| Best fit for | Predictable, long-term use with capital available | Temporary, short-term, or project-based need | Recurring need, no capital commitment, service included |
EaaS Is NOT “Rental 2.0” - How purchase, rental, and EaaS serve different customer needs, and how Komptech positions all three as one portfolio.
Three mislabellings cause most of the confusion – and most of the failed pilots:
Leasing transfers financial risk to the customer. EaaS structurally shifts performance responsibility to the provider. The contractual logic is different, not just the name. → Full model comparison with Komptech
Usage-based pricing is a billing mechanism. It becomes EaaS only when combined with provider-side service responsibility - contracts, financing, and operations aligned around performance delivery, not just metered pricing.
Selling EaaS as “no upfront investment” is not a value proposition - leasing companies can do it cheaper. What customers actually buy is outcome certainty, risk transfer, and bundled operations. → Why “No CAPEX” alone fails - and what works instead
Not all Equipment-as-a-Service contracts are structured the same way. The pricing model determines how value is measured, who bears what risk, and how much operational responsibility shifts to the provider. Research by Wortmann, Gebauer, Lamprecht and Fleisch, analysing over 200 manufacturers, identifies eight distinct revenue patterns that real-world EaaS contracts draw from.
The spectrum runs from pure subscription (fixed fee, guaranteed access) to pure usage-based (variable, metered). In theory, it extends further to outcome-based pricing where the provider guarantees business results – but no pure outcome-based model exists in industrial equipment manufacturing today.
In practice, this doesn’t matter. Because almost every real-world EaaS contract is a hybrid – combining a fixed subscription component with a variable usage-based component. The split between fixed and variable determines where on the spectrum the contract sits. And every working EaaS model we have studied – from robotics to recycling equipment to compressed air to solar energy to snow groomers – sits in this hybrid zone.
A flat monthly or annual fee covers access to the equipment plus all included services – maintenance, spare parts, monitoring. The customer gets cost predictability. The provider gets revenue stability. The further left on the spectrum, the more risk stays with the customer (they pay regardless of how much they use the equipment).
A base fee provides revenue predictability for the provider and guarantees access for the customer. A variable component on top reflects actual consumption – per hour, per unit, per cycle, per tonne, per kWh. This is how the vast majority of real EaaS contracts work, and the five examples below all use some version of it. The exact split between fixed and variable is a commercial design decision, not a technical one.
The customer pays based entirely on measurable output – no base fee. Requires accurate metering, IoT connectivity, and a billing system that handles variable invoicing. The further right on the spectrum, the more risk shifts to the provider (if the customer doesn’t use the equipment, the provider earns nothing).
This spectrum is not a maturity ladder. A hybrid model is not “less advanced” than a fully usage-based model – it is a different risk allocation. Trying to jump to the far right of the spectrum without the operational control, IoT infrastructure, and billing capabilities in place is a common reason EaaS pilots fail. The right starting point for most OEMs is somewhere in the hybrid zone – and that is exactly where every successful model we have studied has landed.
Across industries, the same pattern repeats: successful Equipment-as-a-Service models do not sell the model – they sell a concrete benefit the customer can measure. The equipment becomes the delivery mechanism for a managed service. The pricing structure varies, but the logic is the same.
Customers access state-of-the-art Agilox AMR devices without tying up capital. They pay a mix of base and usage rates, while Agilox retains ownership and includes all services and spare parts. The result: full cost control, lower TCO compared to purchase or leasing, and a 100% OPEX solution.
Komptech · Waste & Recycling
Komptech runs all three models – purchase, short-term rental, and EaaS – as distinct tools for different customer needs. EaaS targets customers with recurring demand who neither want to buy nor pay rental-level rates for long-term use. Maintenance, spare parts, and service are bundled.
5-Cent Energy · Cleantech
Companies buy solar energy at a fixed price per kWh instead of investing in solar infrastructure. 5-Cent Energy retains ownership and handles installation, maintenance, and optimisation. Customers pay only for the energy output delivered – a fully usage-based model with no upfront commitment.
PistenBully · Special Vehicles
One of the more unexpected EaaS cases: PistenBully is building service-based models for snow grooming equipment – an industry where seasonal demand makes traditional purchase particularly capital-intensive for operators. The model combines predictable costs with operational flexibility for ski resorts and municipalities.
Gebr. Becker · Vacuum Technology
A mid-sized manufacturer bringing EaaS to industrial vacuum technology. Customers access vacuum pump systems through a service model instead of purchasing them outright. Becker retains ownership and handles maintenance, monitoring, and spare parts – turning a commoditised product category into a differentiated service relationship.
Store and More · LED Lighting
Instead of buying LED lighting systems, customers pay for the light they use. Store and More retains ownership, handles installation, maintenance, and technology upgrades. When better LEDs become available, the provider swaps them – the customer always has current technology without reinvesting.
Stop Selling "No CAPEX": EaaS Value Propositions Customers Really Want
Equipment-as-a-Service is not the right model for every asset, customer, or organisation. Treating it as a default strategy leads to failed pilots, balance-sheet exposure, and operational overload. Starting with a clearly scoped use case, a measurable billing unit, and a hybrid pricing structure is more robust than jumping to the far end of the spectrum.
EaaS tends to fit when
Equipment-as-a-Service is not a pricing decision – it is an operating model transformation. Research at the Bosch IoT Lab, studying how companies turn connected products into product-service systems, confirms that it requires change across five areas simultaneously: commercial design, refinancing, operations, billing, and sales enablement. The skills gap in manufacturing is accelerating – making it harder to build these capabilities internally.
EaaS fails most often not at the landing page, but at unclear ownership between sales, service, finance, and IT. Five areas must be built in parallel.
Pricing model, contract structure, service scope, SLA definition, and go/no-go criteria. What is included? What triggers penalties? How is performance measured? Starting simple - a hybrid base-plus-usage structure - is more robust than overengineering the first contract.
EaaS transfers asset ownership to the provider. Without off-balance-sheet financing, this creates significant balance-sheet risk. Access to asset-backed refinancing is a structural prerequisite for scaling beyond a handful of pilots. Without it, EaaS quickly becomes margin-thin.
The provider is now responsible for uptime. This requires service infrastructure, spare parts logistics, remote monitoring, and ideally predictive maintenance capabilities. Kaeser uses their Sigma Air Manager for remote system monitoring and optimisation; Hilti uses ON!Track for fleet management; Rolls-Royce runs Advanced Engine Health Monitoring.
Recurring, variable billing does not fit standard ERP logic. Billing-capable metering must be set up early - it is both an operational requirement and the data source for pricing refinement over time.
Selling a service contract is fundamentally different from selling equipment. Sales teams need new pricing logic, new objection frameworks, and tools that make the OPEX vs. CAPEX case concrete - TCO calculators, reference stories, and assessment formats.
Building these five areas from scratch is where most EaaS initiatives stall. Findustrial’s operating system covers all five – from sales enablement and commercial design through refinancing, asset management, and automated billing – in one integrated platform. Instead of stitching together separate tools for each pillar, manufacturers work with a single system that connects equipment, finance, and operations from day one.
Building Equipment-as-a-Service - how Findustrial supports each of the five pillars from idea to live contract.
Building an EaaS model is not a multi-year transformation programme. Based on Findustrial’s experience across 75+ EaaS projects, an OEM can go from strategic decision to launch-ready in 100 days – covering strategy, offering design, pricing, refinancing, and platform setup. The academic framework for iterative refinement comes from the PaaS Navigator (Wortmann, Gebauer, Lamprecht & Fleisch, 2024).
Phase 1 (~1 month)
Define the EaaS north star and goals. Identify the customer problem your model solves and develop a clear value proposition. Set up the project team. This is where the “why” gets answered – before any commercial design begins.
Design the product-service bundle and define the pricing model – including TCO comparison of EaaS vs. sale and leasing. Define the EaaS contract and SLA based on framework agreements. This is the commercial backbone of the model.
Analyse refinancing options and define the framework facility for pilot and scaling. Collect data and IoT requirements. Set up the platform – including key user onboarding and personalised offer templates. This is where the operational infrastructure gets built.
EaaS business model ready for launch. Billing processed via the platform, assets managed over the complete lifecycle. First pilot contracts go live. Document learnings, track KPIs, and iterate the model for scale.
Building Equipment-as-a-Service - see how each phase works in detail, from strategy through to live operations.
Equipment-as-a-Service (EaaS) is a business model in which customers pay for the use or output of equipment through recurring fees – whether structured as a subscription, usage-based rate, or performance guarantee – while the provider retains ownership and responsibility for asset performance and maintenance. In practice, it is often found under labels like pay-per-use, contracting, or subscription model – though EaaS goes beyond pricing mechanics by including operational responsibility on the provider side.
In leasing, performance risk and maintenance responsibility remain with the customer. In EaaS, the provider retains ownership and ongoing operational responsibility for asset availability and service delivery.
For a detailed side-by-side including rental and purchase, with a real-world Komptech example: EaaS Is NOT “Rental 2.0”
Most EaaS contracts run 24 to 60 months. Shorter contracts reduce customer commitment but increase provider risk and complicate financing structures. The optimal duration balances amortisation of the provider’s service investment against the customer’s need for flexibility.
EaaS is gaining traction in mechanical engineering (Kaeser, Komptech), robotics and automation (Agilox), cleantech and energy (5-Cent Energy, Signify), vacuum technology (Gebr. Becker), special vehicles (PistenBully), medical technology (Philips), IT and datacenters (HPE GreenLake, Dell APEX), and construction (Hilti, Volvo, Caterpillar). Adoption is most advanced where assets are standardised, mobile, and IoT-connectable.
No. Pay-per-use is a pricing mechanism. EaaS requires provider-side responsibility for the asset across its lifecycle – maintenance, availability, and performance. Without that operational responsibility, it remains a billing model, not a service model.
Yes – and many do. Purchase, rental, and EaaS serve different customer needs and should be positioned as distinct options within the same portfolio, not as alternatives competing against each other.
Komptech’s approach – running all three models side by side – is documented here: How Komptech positions all three models
Equipment-as-a-Service is strategically important and operationally difficult to scale – at the same time. The global EaaS market stands at $21.2 billion with under 1% worldwide adoption. The gap between relevance and reality is the opportunity.
Manufacturers who succeed do not sell “no CAPEX”. They sell a measurable commercial outcome: guaranteed availability, predictable costs, relief from operational complexity, faster technology access. That is what customers actually pay for.
Implemented well – with the right asset, the right customer, and all five operational pillars in place – EaaS creates a recurring revenue stream that traditional product sales cannot match. Implemented poorly, without financing, operational infrastructure, and commercial clarity, it creates balance-sheet exposure and delivery risk.
The question is not whether EaaS is relevant. For most industrial manufacturers, it is. The question is whether the conditions exist to build it properly – starting from the simplest viable model, not the most ambitious one.
Findustrial combines technology, advisory, and refinancing to help manufacturers go from idea to first live EaaS contract in 100 days.
Monthly EaaS Insights – compact, relevant, actionable.
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More InformationSources & further reading: Deloitte, EaaS Report · McKinsey, Aftermarket Services (2023) · IFS/Accenture, State of Service (2025) · IoT Analytics, EaaS Market ($21.2B) · VDMA (2025) · Wortmann, Gebauer, Lamprecht & Fleisch, Understanding Products as Services (Emerald Publishing, 2024) – 66 PaaS Patterns from 200+ manufacturers · The St. Gallen EaaS Navigator – Bosch IoT Lab / University of St. Gallen / ETH Zurich
This platform is tailored for equipment buyers and operators who want to apply for flexible asset financing.
Findustrial specializes in EaaS | flexible-finanzierung.at covers all financing services beyond EaaS.
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