Insights and news from the ATOM Mobility team

During 2019-2025, most of the attention in shared mobility went to dockless scooters. They were quick to deploy, highly visible, and seemed like the future of urban transport. But while many scooter operators expanded, consolidated, or exited markets, station-based bike-sharing systems quietly continued growing.

According to the 2025 European Shared Mobility Index, public bike-sharing schemes generated around 238 million trips in Europe, while private bike-sharing operators recorded another 124 million trips. Together, bike-sharing services accounted for more than 360 million annual rides out of more than 700 million rides (the other half was generated by free-floating scooters). While the industry spent years experimenting with different models, station-based bike sharing remained remarkably resilient. In many cities, it has become part of everyday transport infrastructure rather than simply another mobility service.

The bike-sharing market is becoming more structured

One of the clearest themes from the latest index is that the market is becoming more disciplined. Operators are no longer chasing every possible market. Instead, they are focusing on locations where shared mobility can operate sustainably over the long term. Cities are becoming more selective too, favouring systems that fit into wider transport networks rather than uncontrolled fleet expansion.

This shift has created favourable conditions for station-based bike-sharing systems. Unlike dockless fleets, station-based programs offer more predictable parking, easier fleet management, and stronger integration with public transport. These advantages become increasingly important as cities focus more on accessibility, compliance, and long-term mobility planning.

What do Europe's largest station-based systems have in common?

The strongest argument for station-based bike sharing is the performance of some of the world's largest programs.

Vélib' (Paris)

Paris' Vélib' remains one of the most successful bike-sharing systems in Europe. The network combines thousands of regular bicycles and e-bikes across an extensive station network that covers much of the city. Vélib' generated approximately 48.5 million trips in 2025, making it the highest-ridership public bike-sharing system in Europe.

What makes Vélib' particularly interesting is that, for many Parisians, it has become part of their daily commute alongside buses, metros, and trains. That level of adoption only happens when riders know they can reliably find and return bikes where they need them.

Bicing (Barcelona)

Barcelona's Bicing demonstrates how station-based systems can scale with city support and careful planning. The system combines regular bicycles and e-bikes and has become deeply integrated into the city's transport ecosystem. Bicing recently surpassed 100 million total rides, making it one of the most successful public bike-sharing programs globally. Barcelona is becoming a fascinating mobility case study: shared scooters were banned, private dockless bike-sharing is being phased out, while the city continues expanding the public Bicing network. A clear signal that some cities are prioritizing station-based and publicly managed micromobility over free-floating models.

The success of Bicing also reflects a broader trend in Spain, where public bike-sharing systems continue receiving strong institutional support.

BikeMi (Milan)

BikeMi in Milan offers a slightly different model. Rather than focusing on rapid expansion, the system grew steadily through dense station placement, strong commuter adoption, and integration with public transport. Now BikeMi combines traditional bicycles and e-bikes, providing a reliable transport option for both residents and visitors. Its success highlights an important lesson for operators: long-term utilisation often matters more than rapid fleet growth.

Although Vélib', Bicing, and BikeMi differ in scale and geography, they share several common characteristics. All three prioritise station density, integration with city transport networks, and predictable rider experiences.

Electric bikes are changing the economics

One of the biggest developments in station-based bike sharing over the past few years has been the rapid growth of electric fleets. Public bike-sharing fleets are now approximately 48% electrified. More importantly for operators, electric bikes consistently generate more trips than traditional bicycles. Public systems average around 2.7 trips per vehicle per day, while some electric bike fleets achieve up to 4.6 trips per vehicle per day.

Higher utilisation means more revenue per vehicle, a faster return on investment, lower idle fleet costs, and stronger demand throughout the day. Electric bikes also make bike sharing accessible to a broader audience. Longer distances become practical, hills become less of a barrier, and riders who would not normally choose a bicycle are often willing to use an e-bike instead. This is one reason many newer station-based systems are launching with mixed fleets or even fully electric fleets from day one.

Why cities are backing station-based systems again

Across Europe, municipalities are placing greater emphasis on organised mobility systems that can be integrated into existing transport networks. The European Shared Mobility Index highlights several examples, including public support programs for bike-sharing subscriptions in Spain, continued investment in Barcelona's Bicing network, and London's decision to renew its Santander Cycles contract through a long-term investment programme.

For cities, the appeal is relatively clear. Station-based systems provide predictable parking, reduce street clutter, simplify accessibility planning, and make it easier to integrate bike sharing with buses, trains, and metro systems. As regulations become stricter and public space becomes more valuable, these advantages are becoming increasingly important.

Managing a growing station network

As fleets grow, operators need visibility into station occupancy, vehicle availability, charging status, maintenance workflows, payments, rider activity, and customer support. Managing these processes manually quickly becomes difficult, especially when systems expand across multiple districts or cities.

Many operators use platforms such as ATOM Mobility's bike-sharing software to manage stations, vehicles, rider applications, payments, maintenance, and operational workflows through a single system rather than relying on multiple disconnected tools. The largest station-based programs did not become successful simply because they deployed more bikes. They built operational processes capable of supporting growth over many years.

The growth of systems like Vélib', Bicing, and BikeMi suggests that station-based bike sharing has found its place in modern cities long-term. The focus now is less on expansion alone and more on operating reliable, efficient networks that riders can depend on every da

Check out the full 2025 European Shared Mobility Index here: https://fluctuo.com/reports

Shared mobility continues to evolve quickly. At ATOM Connect 2026 in Riga, operators, technology providers, and industry experts came together to discuss where the market is heading and what will define successful operators in the coming years. The discussions covered everything from fleet economics and regulation to AI, insurance, MaaS, and operator growth stories.

One thing became increasingly clear throughout the event: The industry is entering a different phase. Growth is still happening, but the rules for winning are changing.

🚲 E-bikes are becoming the core shared mobility asset

For years, shared e-scooters dominated headlines and rapid expansion stories. Now the conversation is gradually shifting.

Research presented by Frost & Sullivan suggests that e-bikes are increasingly becoming the preferred shared micromobility mode in many markets because of stronger unit economics, lighter regulatory friction, and changing rider behavior.

Some numbers presented:

• Average lifetime gross profit per shared scooter: ~$2,073
• Average lifetime gross profit per shared e-bike: ~$4,336
• Average scooter lifespan: ~3 years
• Average e-bike lifespan: ~4 years

Despite higher vehicle costs, e-bikes generate stronger long-term economics. We also saw examples from operators:

• Forest increased its e-bike fleet by 34%, while more cities increasingly support bike-focused mobility systems.

The interesting part is that e-bikes are gradually shifting from “fun transportation” toward everyday commuting infrastructure.

📈 Growth continues while fleet size remains relatively stable

One surprising trend discussed during the event was that the European shared micromobility market continues growing despite relatively stable fleet sizes.

Normally, growth comes from deploying more vehicles. Now something different appears to be happening:

• Better utilization
• Increased rider adoption
• Improved retention
• Subscription models

This is an important shift because it suggests the market is becoming more efficient. Instead of flooding cities with additional vehicles, operators are increasingly focused on generating more value from existing fleets.

💰 Subscriptions are becoming increasingly important

Historically, shared mobility relied heavily on per-ride revenue. That model is also changing.

Frost & Sullivan highlighted subscriptions as one of the strongest trends for 2026, with subscription-heavy models showing positive profitability dynamics. This aligns with what many operators shared during discussions. Subscriptions bring several advantages:

• Higher retention
• Predictable recurring revenue
• Lower customer acquisition pressure
• Better ride frequency

The industry may gradually move toward a model that looks more like SaaS and memberships rather than only pay-per-use transportation.

🤖 AI is moving from experiments to core operations

AI was one of the strongest themes throughout the event. Only a few years ago, AI in mobility often meant pilots and interesting demos. Now operators increasingly use it for daily operations. Examples discussed included:

• Demand forecasting
• Rebalancing optimization
• Predictive maintenance
• Safety monitoring
• Fraud detection
• Dynamic insurance pricing
• Battery optimization

Frost & Sullivan identified AI-powered demand anticipation as one of the highest-impact trends for operators in 2026.

Yuri Narozniak from datafolio also shared examples where AI predicts high-risk insurance zones and dynamically adjusts risk models based on ride behavior. Datafolio additionally introduced integrated rider insurance options, with approximately 25% long-term rider adoption.

🌍 Regulation is increasingly determining market strategy

Regulation has become one of the biggest variables affecting operator success. Different cities continue taking very different approaches. Examples discussed included:

Positive developments:

• UK extending e-scooter trials until 2028
• Netherlands approving road-legal e-scooters
• Oslo doubling scooter capacity

Restrictions:

− Prague banning shared scooters

− Italy tightening compliance requirements

Cities want fewer operators, stronger compliance, and more accountability.

Winning a market increasingly depends on safety records, operational quality, data transparency, compliance history rather than simply deploying larger fleets.

📱 MaaS continues connecting fragmented mobility services

Raymon Pouwels shared the growth story behind umob and the continued expansion of Mobility-as-a-Service. The long-term vision remains simple: One interface, multiple transportation services.

Users increasingly expect transportation to behave similarly to digital services: Open one app -> See all options -> Choose what works best.

The market continues moving toward stronger integration between operators and MaaS platforms.

🏆 What separates operators who will win in 2026?

One slide from Frost & Sullivan summarized it particularly well:

"The operators still standing in 2026 didn't win on product - they won on discipline, selectivity, and city relationships."

Looking across both research and operator stories, common patterns repeatedly appeared:

✔ Lean and efficient operations
✔ Strategic market selection
✔ Diversified revenue streams
✔ Strong partnerships
✔ Data-driven decisions
✔ Safety and compliance focus

Thank you again to all speakers, partners, and participants who joined us at ATOM Connect 2026 and contributed to the discussions. We are excited to continue building the future of mobility together.

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Want to continue the conversation? 🚀

Our team will be attending Micromobility Europe (June 2-3, Berlin) and we'll have a booth there. If you're attending too, come say hello, grab a coffee, and let's talk mobility ☕

In any ride-hailing or mobility business, the driver app is a great tool. However, it is also the main interface drivers use every day to accept rides, navigate, track earnings, and communicate with the platform. If the experience is slow, confusing, or unreliable, drivers leave. If and when that happens, operations suffer immediately.

This is why driver experience has become an important factor in platform performance. According to industry insights, driver churn remains one of the biggest challenges in ride-hailing, with platforms needing to continuously recruit and onboard new drivers to maintain supply. The 2025 Gig Driver Report found that 68% of gig drivers use two or more platforms every month, which shows how easily drivers switch between apps when the experience, earnings, or payout process feels better elsewhere.

A well-built driver app does more than support operations. It improves efficiency, increases completed trips, and helps build long-term driver loyalty.

The driver app is the core of daily operations

Drivers rely on the app for almost everything during a shift. It needs to work reliably in real conditions, including high demand, long hours, and unstable connections.

A modern driver app should allow drivers to:

• Accept and manage ride requests
• Navigate easily using popular apps such Waze or Google maps
• Track earnings in real time
• Easily understand interfacen and buttons
• Control availability and working hours

Solutions like the ATOM Mobility driver app bring all of this into one system, reducing friction and making daily work simpler for drivers. When everything works in one place, drivers spend less time solving issues and more time completing trips.

Navigation and dispatch directly affect earnings

Accurate navigation and smart ride assignment are two of the biggest factors affecting driver productivity.

Drivers need to:

• Find pickup points quickly
• Follow efficient routes
• Avoid unnecessary idle time

Even small improvements in routing and dispatch can make a difference. Better routing reduces wasted time and fuel use, which improves both driver earnings and operational efficiency across the platform.

At the same time, automated dispatch ensures drivers receive rides consistently. Features like back-to-back trip assignments reduce downtime and keep drivers active throughout their shift.

Payments and transparency build trust

Drivers want clarity when it comes to earnings. If payouts are delayed or unclear, trust drops quickly.

A good driver app should show:

• Earnings pe each trip
• Daily, weekly and monthly totals

Clear earnings tracking reduces disputes and gives drivers confidence in the platform. It also simplifies operations for companies managing large fleets.

Driver experience and retention are directly connected

Driver experience is closely linked to retention. Small issues like unclear earnings, poor navigation, bad UI or inconsistent ride flow can push drivers to another platform.

This is why long-term retention strategies matter, especially in competitive markets where drivers have multiple options, as explained in how to retain drivers on your ride-hailing platform long term.

Platforms that invest in driver experience early reduce churn and avoid constant recruitment costs.

The driver app is part of a larger platform

The driver app does not exist on its own. It is part of a broader system that includes rider apps, dispatch tools, analytics, and payment systems.

Most operators today do not build these systems from scratch. Instead, they launch using ready-made platforms where all components are connected, including the driver app, as explained in this guide on building a personalized white-label taxi app.

This approach allows companies to launch faster and scale without rebuilding core infrastructure.

Driver experience should match your business model

Not all ride-hailing platforms are the same. Some focus on premium services, others on affordability, and others on specific local markets.

The driver app needs to support that positioning. Features, pricing logic, and workflows should reflect the type of service being offered, which is explored further in this article on finding your niche in the ride-hailing market.

When the product and the business model align, both drivers and passengers have a clearer experience.

Continuous improvement matters

Driver expectations continue to evolve. Features that were once optional are now standard.

Platforms that continue to improve their tools and workflows stay competitive longer. Many of these improvements come from real operational challenges, as seen in recent updates highlighted in ATOM Mobility’s latest platform features.

Small improvements in daily workflows can have a large impact when applied across hundreds or thousands of drivers.

The driver app is one of the most important parts of any mobility platform. It affects how drivers work, how much they earn, and whether they stay.

A reliable and well-designed app improves daily operations, reduces friction, and helps platforms scale more efficiently. It also builds long-term driver trust, which is one of the hardest things to maintain in a competitive market.

As mobility businesses continue to grow, the quality of the driver app will remain one of the key factors that determines whether a platform can scale successfully or struggles with constant churn.

Most taxi and ride-hailing companies don’t fail because of bad technology. They fail because no one knows they exist. In a market shaped by players like Uber, demand is no longer something that “just happens.” It’s engineered. Built. Optimized. Repeated.

Yet many operators still treat marketing as something secondary - something to figure out after the launch, after the fleet is ready, after drivers are onboarded. By then, it’s already too late.

A common pattern we see is this: a company launches with a functional product, maybe even a solid operational setup, but without a clear brand or acquisition strategy. A few campaigns are tested, some budget is spent across different channels, but nothing is consistent. There is no clear positioning, no defined audience, and no system to measure what actually works.

The result is predictable. Growth is slow, utilization stays low, and pressure starts to build. At that point, marketing becomes reactive - driven by urgency rather than strategy. Discounts increase, experiments multiply, and costs rise faster than revenue.

This is where many businesses lose control of their unit economics.

Why bad marketing happens

Poor marketing rarely comes from a lack of effort. It usually comes from wrong priorities. Many operators believe they have more urgent problems to solve - fleet, drivers, operations - and that marketing can wait. It feels logical in the short term, but in reality it’s a short-sighted decision that creates much bigger problems later.

Another common issue is lack of direction. Marketing activities exist, but they are scattered and unstructured. There is no clear target audience, no defined positioning, and no consistent brand language. Without that foundation, even well-funded campaigns struggle to deliver results.

This is where the gap between smaller operators and companies like Uber becomes obvious. The difference is not just budget - it’s clarity. They know exactly who they target, how they communicate, and how they measure success.

Without that clarity, marketing becomes noise. And noise doesn’t convert.

When marketing is treated as optional

In early stages, many companies treat marketing as a “nice to have.” Budgets are allocated to everything else first, and whatever remains is used for promotion - if anything is left at all. The assumption is simple: launch first, invest in marketing later.

The same thinking often leads to another mistake - launching with a weak or non-existent brand. A generic app, no clear identity, no differentiation. It may save money initially, but it creates a much bigger problem: people don’t remember you, and you can’t build demand around something that has no identity.

At some point, reality catches up. Growth is slower than expected, revenues don’t match projections, and pressure builds. That’s when companies switch into reactive mode. Marketing becomes urgent instead of strategic. Discounts increase. Random campaigns are launched. Budgets are spent faster, but results don’t improve. Panic replaces planning - and panic-driven marketing almost never works.

How to build a marketing system that actually works

Forget random marketing. It doesn’t scale. If you want predictable growth, start here:

• Map all key marketing activities needed to generate demand (which 2-3 channels you will use to attract users?)
• Define your target audience and core differentiation (how you are different from others?)
• Set a realistic marketing budget upfront
• Work with professionals who understand mobility (execution matters)
• Focus on a few channels that actually convert
• Track core KPIs: installs → first ride → retention
• Continuously adjust based on real data, not assumptions

The earlier you build this system, the faster you reach profitability.

How ATOM Mobility helps operators grow

At ATOM Mobility, we’ve seen this dynamic across hundreds of mobility businesses globally. The difference between those who scale and those who stall rarely comes down to technology alone. Execution is what separates them.

That’s also why we expanded beyond software and, together with industry experts, launched a dedicated marketing service to support operators directly.

We help mobility businesses go from zero to scalable demand - covering go-to-market strategy, branding, performance marketing, app store optimization, and continuous growth management, all tailored specifically for ride-hailing and taxi operators.

👉 Learn more and see how we can support your growth:
https://www.atommobility.com/marketing-agency