How much capital do you need to start your own shared mobility business?

How much capital do you need to start your own shared mobility business?

As shared mobility continues to experience rapid growth – projected to generate up to $1 trillion in consumer spending by 2030 – it's no wonder that entrepreneurs are drawn to explore opportunities in this thriving market.

However, despite the optimistic market outlook, the shared mobility industry doesn't provide a magic shortcut to massive and instant returns on investment – despite what some players in the industry might claim. In this blog post, we'll offer a realistic and experienced-based assessment of the investment needed to get a shared mobility venture off the ground.

We will explore how much capital you need to kickstart your own shared mobility business. With experience in supporting over 100 entrepreneurs worldwide, ATOM Mobility is in a good position to understand the financial details.

We'll discuss the essential expenses involved, including vehicles, software, insurance, and operational costs – the aim is to help you make informed decisions and kickstart your entrepreneurial journey with confidence.

Vehicle costs: how much will you pay?

The most significant cost in starting a shared mobility business comes from getting the vehicles.

Here's what you can expect to pay for a single vehicle:

  • Scooters: 750-1000 EUR
  • E-bikes: 1300-2500 EUR
  • Mopeds: 2000-4000 EUR 
  • Cars: 12000-20000 EUR

Considering the higher costs associated with vehicles like mopeds and cars, leasing is also a viable option. However, securing leasing partnerships is more challenging for operators without an established business.

The choice of vehicles will ultimately depend on your business model – whether you want to provide affordable or high-end options. For instance, if you opt for top-of-the-line scooters from brands like Segway and Äike, expect to pay over 1000 EUR per vehicle. On the flip side, you can find scooters as low as 400 EUR on the Chinese market, but such a price tag comes with its own set of risks. 

Optimal starting fleet size for scooter-sharing businesses

Assuming you've made your decision on the model and brand, the next question is: how many vehicles should you buy? What's the ideal fleet size to start with?

We will focus on scooters – with their affordable price tag, they have become a favored choice for those looking to venture into the shared mobility industry.

Based on what we've seen, operators kickstart their ventures with fleets of different sizes. Some start with a humble fleet of 20 scooters in their first season and then steadily grow to over 100 vehicles in the following seasons, even diversifying into cars and other modes of transportation. 

However, starting with a larger fleet offers distinct advantages. Having a bigger fleet means more people will notice your brand, leading to faster adoption of shared mobility within the local community. In other words – a larger fleet speeds up the process of making shared mobility a part of people's everyday commuting routines. 

Another crucial point is that operating costs remain relatively consistent for a fleet of up to 200 vehicles. Beyond that, you'll likely need to expand your team, acquire more vans, secure a larger warehouse, and hire an additional technician. But, if you're starting out small, 20 vehicles instead of 100-200 won't lead to significant cost savings in operating expenses. Therefore, it's more cost-effective to begin with a larger number of vehicles from the outset.

Maintenance and insurance

Maintenance costs are also an important consideration. On average, around 10-15% of your fleet will require ongoing maintenance, depending on the brand and model of the vehicles. With a smaller fleet of 20 scooters, it's statistically likely that 2-3 units will be undergoing repairs at any given time. In case your fleet experiences a series of unfortunate incidents, this percentage can quickly escalate, leading to a decrease in the number of scooters generating revenue.

Securing third-party public liability insurance for smaller fleets, which is required by law to protect pedestrians and riders in the event of accidents, can be a challenging task. No matter the fleet size, operators are required to pay an annual premium. This means that smaller fleets, like those with only 20 scooters, could end up paying the same premium as fleets with 150 scooters. For a smaller business, this expense can be quite prohibitive and difficult to manage. Thus, insurance costs are another reason to consider starting with a bigger fleet.

On average, the insurance costs around 8 EUR per scooter per month (paid annually) for fleets ranging from 100 to 200 scooters. These costs may vary depending on the specific coverage requirements set by local authorities.

Aim for 100 scooters – or 50 if you're low on cash

If we take into account brand visibility, maintenance, and insurance, it’s advisable for new operators to aim for a fleet size of at least 50 scooters. It’s a budget-friendly choice, especially in a location with strong market demand. A fleet of this size can also serve as a market test run. 

However, for a more robust start, an ideal fleet size would be 100 scooters. As we mentioned earlier, the operating costs for both 50 and 100 vehicles would be more or less the same. However, opting for 100 vehicles instead of 50 would result in double the revenue. This boost in revenue would make it easier to sustain and expand the business. Having more vehicles would also contribute to better brand visibility in the long run.

Shared mobility software costs and considerations

Once you've got the fleet sorted, the next step is to get your hands on some software. 

When it comes to shaping your brand identity, the software you use is just as crucial as the vehicles you offer. Having a top-notch fleet is great, but it won't make a difference if you neglect the software side of your shared mobility service. You want users to easily find, book, and pay for your rides without any trouble.

When it comes to white-label software pricing, it usually involves a one-time setup fee plus a monthly subscription fee based on the number of vehicles – or a dynamic pricing model per usage. 

The setup fees for white-label software are typically between 4-10k EUR, depending on the provider and features. The monthly fees will vary based on fleet size or usage. 

ATOM Mobility white-label software offers a wide choice of setup options, catering to fleets of all sizes, starting from the smallest and going all the way up to 5k+ vehicles. There is also a special plan for those who want to dip their toes in the water with 20 or fewer vehicles, which doesn’t require a setup fee. It's a great way to test the market and get started without breaking the bank.

Starting your shared mobility venture with 70k

Now that we've got the basics covered, let's crunch some numbers and calculate the amount of money you'll need to kickstart your scooter-sharing business.

Taking into account the costs of vehicles, software, insurance, and other expenses, we're looking at 70,000 EUR

Here's what you'll need to kickstart your business and keep it running for at least one season: 

  • 40k for buying 50 scooters
  • 10k to procure and maintain software for the season
  • 7-10k for insurance coverage
  • 5k for a warehouse
  • 5k for renting a van

On top of that, you need to consider the ongoing operating costs, which will fluctuate based on the size of your fleet. If you have a fleet of 50-150 scooters, it can be efficiently managed by two owners – or one owner and a couple of part-time employees. The expense of charging the vehicles will depend on the local prices in your area.

So, with around 70k in your pocket, you'll have a decent budget to make things happen in the first year. You can prove your concept, test the market, and learn the ropes along the way. And once you've got a solid foundation, scaling up in the second year becomes a lot easier. Investors will feel more confident jumping on board when they see that your business model is actually viable.

Of course, the 70k figure is not set in stone. The actual expenses will vary based on your location and your willingness to take on additional risks. We've had operators who achieved success with just half that budget – but their journey was certainly more nerve-wracking as a result.

With our suggested budget, you'll also have some breathing space for trial and error as you kick off your venture. This kind of money allows for a smoother and less stressful launch – also increasing the chances of steady growth in the next season.

If you're interested in starting your own shared mobility venture, join our ATOM Academy for FREE to learn more and see if it's the right business for you.

If you'd like to explore the software costs in detail, schedule a demo with our team today.

Interested in launching your own mobility platform?

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🚗📲 Whether you're renting out cars, bikes or scooters, the best rental businesses in 2025 are fully digital. No more paper contracts or office keys – just tap, unlock, and go. In our latest article, we explore top apps (like Donkey Republic, MOBY Bikes and Forest) that show what a modern rental experience looks like. Plus, we explain where a full platform like ATOM Mobility fits in when you're ready to scale.

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Running a rental or sharing business today means delivering a smooth, digital-first experience. Whether you rent cars, bikes, scooters or other vehicles – users expect to book online, pay, verify identity if needed, unlock a vehicle, and ride or drive without extra friction. 

To make that happen reliably, you need good vehicle rental software or platform backing your service. Below are some successful examples of apps and platforms that show how this works and what is possible.

Donkey Republic 

Operates in several European cities offering shared bikes and e‑bikes. Users find a bike in the app, unlock it with a smartphone, ride, then park at a designated drop‑off spot and end the rental. Pay‑as‑you‑go, daily rates or memberships are all handled via the app. 

MOBY Bikes 

Targets electric bicycles and e‑cargo bikes across certain regions, with a “tap‑and‑ride” system that uses its proprietary app for booking, unlocking, and rental management. The platform supports mixed-use fleets (shared bikes, cargo bikes, delivery fleet, even B2B rentals), which illustrates flexibility – useful for operators exploring different business models beyond simple consumer rentals. 

Forest

It is a dockless e‑bike sharing operator in London. It runs a large fleet and offers bike‑sharing through a mobile app. The service demonstrates how a relatively simple, dockless rental model can scale at urban level using app‑based rentals, unlocking, and flexible parking. 

These examples show how micromobility‑focused services already rely on booking, payment, unlocking and fleet management tech – the same core capabilities needed by any modern vehicle rental business.

What makes these apps work – and what to borrow from them

From these operators you can observe several useful traits that a good rental/sharing software should provide:

  • Seamless user journey: crate account in seconds → search → book → unlock → ride/drive → return. Users don’t need paper contracts or to meet staff to get a vehicle.
  • Flexible pricing & rental models: per-minute, hourly, daily, subscription, memberships – enables both occasional users and frequent commuters.
  • Smart access control and vehicle tracking: unlocking via app or smart lock, GPS tracking, drop‑off in defined zones or docking stations, helps maintain order, reduce theft, and support dockless models.
  • Support for different vehicle types: from bikes to e‑bikes and cargo bikes – showing that underlying software can be agnostic to vehicle type, useful if you plan a mixed fleet.
  • Scalable fleet operations and maintenance: availability updates, booking history, maintenance logs, geofencing or parking zones – these help manage many vehicles across zones without chaos.

These are exactly the kinds of features you need when you move from small‑scale operation to proper fleet business.

Why to choose ATOM Mobility

If you plan to just test the market or to operate a larger and more complex fleet - multiple vehicle types, multiple cities, or advanced operational requirements - a full-stack platform like ATOM Mobility becomes essential.

ATOM Mobility is designed for operators who need full control over the entire mobility operation: booking flows, unlocking logic, payments, KYC/ID verification, backend administration, fleet analytics, dynamic pricing, and multi-modal rentals across cars, scooters, bikes, and more.

The platform provides a unified backend that supports cars, scooters, e-bikes, mopeds, and additional vehicle types within a single system. Operators can manage bookings, payments, users, smart locks or connected vehicles, fleet health, and city-level scaling without fragmenting their tech stack as the business grows.

This approach offers far greater flexibility than single-vehicle or bike-only solutions and removes the need to migrate systems when expanding into new vehicle categories or markets. Check out the full service here.

How to choose: when to use franchising vs full platform

Join a franchising when you:

- prefer operating under an established brand
- value a clear operational playbook and central support
- want simpler marketing thanks to brand recognition
- are comfortable with limited control over technology and product decisions
- accept franchise fees or revenue sharing in exchange for convenience
- don’t need heavy customization or experimentation

Use a full platform (like ATOM Mobility) when you:

- aim to manage a larger, mixed fleet (cars, scooters, bikes, e-bikes)
- need full backend control (admin, analytics, pricing, reporting)
- require payments, KYC/ID verification, and automation built in
- want freedom to customize booking flows, pricing, and partnerships
- plan to scale across cities or add new vehicle types over time
- prioritise brand ownership and customer relationship control
- want no revenue sharing or franchise fees

There isn’t a one‑size‑fits‑all solution 

For simple bike or e-bike fleets, the technology barrier is already low. Joining a franchise can be a fast way to get operations running with minimal setup.

However, operators with long-term ambitions - expanding into multiple vehicle types, scaling across locations, or maintaining consistent service quality - typically outgrow narrow tools. In those cases, a full-stack platform like ATOM Mobility offers the flexibility and control needed to support growth without rebuilding the tech foundation later.

Some operators start small and migrate as complexity increases. Others choose to build on a full platform from day one to avoid future transitions. The right choice depends on how clearly you define your growth path, desired level of control, and operational complexity from the start.

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How AI is already powering shared mobility: Real-world use cases from ATOM Mobility
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📱AI in shared mobility isn’t a future trend – it’s already here, and for good. From detecting car damage to forecasting demand and verifying parking in real time, operators are using AI to reduce manual work and run more efficient fleets. In this new article, we break down 3 real use cases already live on the ATOM Mobility platform: 👁️ Vision AI, 🔍 Precision AI, 📊 Prediction AI. See how AI is changing shared mobility, and how you can start using it now.

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Artificial intelligence is no longer just a trend in mobility. For modern vehicle sharing and rental services, AI is already solving real operational problems and unlocking new ways to grow. At ATOM Mobility, several AI-powered features have already been implemented into live products and tested by operators across Europe.

This article shares three real-world AI use cases that are already helping operators reduce manual work, improve asset control, and better match vehicle availability to demand. 

1. Vision AI: Camera-based parking control for micromobility

Micromobility parking continues to be a challenge in cities where dockless vehicles can end up blocking sidewalks, crossings or entrances. Manual checks are costly and often too slow to solve the problem in real time.

ATOM Mobility now uses computer vision to solve this. With Vision AI, riders take a photo when ending their ride. The system analyses the image using a neural network to understand if the vehicle is parked correctly – within a designated zone and without creating obstructions. If not, the app notifies the user and prevents trip completion until the parking is corrected.Each parking photo is automatically tagged as “Good parking”, “Improvable parking” (the user receives guidance on how to improve the parking), or “Bad parking” (the user is asked to re-park).

If the user fails to submit a “Good parking” photo after several attempts, the system will accept the photo with its current tag (“Improvable” or “Bad parking”) and flag it in the dashboard for further customer support review.

This solution has been live with many operators already. It helps reduce complaints, improve compliance with city regulations, and lowers the need for manual reviews.

Photo: focalx.ai

2. Precision AI: Detecting car rental damages with cameras and machine learning

In traditional car rental, damage inspection is slow, manual, and often inconsistent. With self-service rentals becoming more popular, operators need a smarter and faster way to verify a vehicle’s condition between trips.

ATOM Mobility has integrated AI-powered damage detection using computer vision. Customers scan the vehicle at pick-up and drop-off. The app compares images and flags scratches, dents, or other visible damage with high accuracy. This allows operators to quickly assess responsibility and reduce disputes.

The system helps protect the fleet, lowers repair costs, and adds trust for both users and operators. It’s especially useful for car sharing and self-service rental models where physical handovers are skipped.

3. Prediction AI: Forecasting demand and automating vehicle relocation

One of the biggest cost factors in shared mobility is rebalancing the fleet. If scooters or cars are idle in the wrong location, revenue is lost. At the same time, relocating vehicles manually is expensive and not always efficient.

ATOM’s AI models use historical trip data, usage trends and contextual signals (such as day of the week or weather) to forecast demand and suggest the best relocation zones. This gives operators a map of where and when to move vehicles – improving utilisation and saving time.

The system can even be combined with automated relocation logic, where users are incentivised to park in high-demand areas. This shifts part of the rebalancing cost from operators to riders and keeps the fleet productive.

Why this matters now

AI tools are finally reaching the stage where they can operate reliably, even in complex environments like cities. These examples are not abstract ideas or lab tests. They’re active features helping ourcustomers run leaner, smarter fleets today.

For micromobility operators, Vision AI reduces complaints and ensures regulatory compliance. For car rental providers, Precision AI saves hours of staff time and improves trust. And for both, Prediction AI improves margins by making sure vehicles are where users need them.

What’s up next?

These are just the first steps. AI in mobility will continue to expand with smarter pricing engines, voice-based support, predictive maintenance, and more. But the examples above already prove that even small AI integrations can bring major improvements.

At ATOM Mobility, we continue building these tools directly into our platform so that operators don’t need to develop them in-house. If you want to see how these AI-powered features work in action, get in touch with our team.

AI in shared mobility is not about replacing people. It’s about giving operators better tools to run faster, smarter, and more efficient services.

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