
The bike-sharing industry is on the rise. It is the only mobility industry that statistics indicate didn't experience significant losses during the pandemic. The future is also bright as there are government initiatives around the world to support bike-sharing. However, there are things that newcomers in the business can learn from the previous leaders - success in the industry with high demand is no guarantee that the company will be a success.
A bike is a comfortable means of transportation in regions where motorized vehicles are widely used but create heavy traffic jams and pollute the air. This is a problem in regions like Asia-Pacific, North America, and Europe. And this is where and why bike-sharing has become popular. According to the Statista Mobility Outlook, bike-sharing was the only mobility sector that grew its global revenues during the pandemic by a third in 2020. The single-person set-up and open-air nature of bike riding made it the perfect mode of transportation for the pandemic.

Bike-sharing is a shared transport service in which convectional bikes or electric bikes are made available for shared use to individuals on a short-term basis for a price or free. Development of software, GPS technologies, mobile payments, and IoT devices, as well as reduced locking and tracking system costs for bikes, have recently led to the popularity of a dockless bike-sharing system that allows users to leave the bike anywhere convenient.
According to Mordor Intelligence, the bike-sharing market was valued at USD 3 billion in 2020, and it is anticipated that it will reach USD 4 billion by 2026. The COVID-19 pandemic affected the bike-sharing sector in several countries. The most negative consequences were the daily decline in bike bookings.

Bike demand is majorly driven by developing countries, such as China and India that especially focus on e-bikes. China has always been the largest exporter of e-bikes. According to China’s Ministry of Industry and Information Technology, the country's output of electric bicycles reached 25.48 million during the first 10 months of 2020, a year-on-year increase of 33.4%. During this period, the revenue of major bicycle manufacturing companies reached about USD 22 billion, an increase of 16.8%. According to the China Bicycle Association, from January to September 2020, the volume of bicycle exports was 12% up on the same period last year, rising to USD 2.43 billion.
However, the bike-sharing market growth in Europe is predicted to be the fastest across the globe, as it is anticipated that a large number of service providers will venture into the region in the coming years. In regional countries, bikes are being rapidly made available near major transit hubs, such as railway stations, thereby offering users convenience and ease of travel. In addition, the European Union (EU) also promotes such services, because they are environment-friendly and help to reduce traffic.
Global bike-sharing service market size between 2020 and 2026 in billion U.S. dollars according to Statista:

Currently, major players in the bike-sharing market are:
- Uber Technologies Inc. - provides opportunities to rent a bike in a partnership with Lime. Jump brand bikes are available after Lime acquired the Jump company.
- Lyft Inc. - in November 2018, Lyft acquired Motivate, a bicycle-sharing system and the operator of Capital Bikeshare and Citi Bike. It thus became the largest bike-share service in the United States.
- Hellobike - a transportation service platform based in Shanghai, China. Founded in 2016, the company merged with Youon Bike the following year. In a series of fundraising rounds dating back to 2016, Hellobike has raised over US$1.8 billion from investors.
- DiDi Bike - Didi Chuxing Technology Co. is a Chinese vehicle for hire company headquartered in Beijing with over 550 million users and tens of millions of drivers. The company provides app-based transportation services, including bike-sharing.
The biggest companies in the market are associated with China as are the biggest deals. Looking at the recent biggest deals in bike-sharing, the first worth mentioning involved Didi Chuxing’s bike-sharing arm Qingju. It raised USD 600 million in a Series B equity fundraising round and will be granted an additional USD 400 million in loans.
What was also interesting that at the end of 2020 the mobile application of Mobike, one of China's earliest and largest bike-sharing providers, went offline after its acquisition by Meituan three years before. Mobike was acquired by Meituan for USD 2.7 billion in April 2018. In January 2019, in an internal letter to employees Wang Huiwen, co-founder and Senior Vice-President of Meituan, informed them that Mobike will be renamed Meituan Bike and that the firm would become a unit of the new parent's location-based service department.
The growing interest in e-bikes
One trend that will definitely influence the industry in the near future is the growing interest in e-bike sharing. Pedelecs or pedal electric cycles or EPAC (Electronically Power Assisted Cycles) are becoming increasingly popular. This is a type of electric bicycle where the rider’s pedaling is assisted by a small electric motor. Such vehicles are capable of higher speeds, compared to manually operated bikes. As the demand for higher speeds for short-distance traveling increases, so does the preference for e-bikes. People are ignoring the fact that sharing services on pedal-assisted bikes are cheaper than e-bikes, as the latter offers effortless driving, more convenience, and variable motor power, as well as higher speeds.
One of the most interesting investment deals in 2020 that underlines the interest in e-bikes involved London-based free-to-use shared electric bike firm London-based HumanForest. It announced in September that it had raised £1.8 million. HumanForest offers 20 minutes free per day and a corporate subscription service. It launched in June 2020. In just four months of the company’s operations, 14,000 riders have taken almost 42,000 rides with the number of rides increasing by over 100% month on month!
Later that year, the company raised £1.27m via crowdfunding with the support of over 520 investors, of whom approximately 30% were trial users. The company says that it ran a successful trial during summer 2020 in London with 200 e-bikes. The new funds will be used to expand the fleet to 1,500 e-bikes.
HumanForest’s business model is based on three sources of revenue - users pay 15p per minute after their free daily 10-minute ride is up, while partner companies pay to advertise their brand on the HumanForest digital platform and companies pay to offer their employees further minutes for the HumanForest fleet.
Bike-sharing - more positive than negative aspects
If we analyze positive, as well as negative aspects that could influence the future of bike-sharing, the positive aspects far exceed the negative ones. The only negative aspects are high initial investment costs, as well as the rise in bike vandalism and theft. Positive aspects that could stimulate the bike-sharing business in the future are growing venture capital investments, an increase in the inclusion of e-bikes in the sharing fleet, as well as technological advances in bike-sharing systems.
There is also increased interest from governments in different initiatives for the development of bike-sharing infrastructure. Furthermore, governments are offering subsidies to service providers for developing stations and expanding their reach to a large number of commuters. For instance, in 2018, Chinese Municipal governments subsidized the Public Bike Sharing Program development to encourage non-motorized transport and offer convenient, flexible, and low-cost mobility options. Meanwhile, in Europe, the new public bike-sharing system was launched in the Italian Municipality of Trieste in February 2020. The system, known as BiTS, is being implemented as part of the city's Integrated Sustainable Urban Development Plan at a cost of EUR 390,000, with the aim of developing sustainable mobility by promoting walking and cycling to reduce urban pollution.
Despite the fact that interest in bike-sharing is rising and will continue to do so, it is equally important to learn and not forget the mistakes of pioneers of the industry. For example, the company Ofo was founded in 2014 as a university project, but soon afterward raised $866 million from investors led by Chinese e-commerce giant Alibaba. Ofo was a station-free bike-sharing platform operated via an online mobile application. In total, over the course of nine investment rounds, the company has raised USD 2.2 billion but has still consistently experienced cash flow problems that were driven largely by intense competition in a market that has yet to be proven to be commercially viable according to analysts interviewed by Forbes.
Fees dropped to 1 yuan ($0.14) for each hour of use and sometimes were even free. Despite this fact, Ofo still managed to reach a valuation of $2 billion in a 2017 funding round and around $3 billion at its highest point, and at one time the company deployed more than 10 million bikes globally and attracted as many as 200 million users. “The company’s cash-burning operations and high valuation have combined to deter potential investors, and when capital became scarce, the startup could no longer cover its once sprawling operations,” wrote Forbes.
In 2018, Ofo announced a massive reduction in operations, and by 2020 it faced a large amount of unpayable debt as a result of which the company was no longer operating bike rentals. “Explanations of what exactly went wrong are still evolving, but it seems likely that the mind-boggling amounts of cash pumped into what wasn't essentially a "bike-sharing" model, but rather a rental business pepped up by a smartphone app, had something to do with it. Yes, the company bought bikes and placed them in the streets without docks for anybody to use, and that was somewhat new. And yes, a smartphone app served as the key. But the company owned the bikes, just like any old-fashioned rental shop, and incurred huge maintenance costs,” explained analysts from Roland Berger Strategy Consultants, who were quoted in its magazine “Own the future”.
So it doesn't matter how big the demand for the service is, you should always apply simple business principles to your business.
Click below to learn more or request a demo.

🚗 Scaling a rental fleet without automating maintenance? That’s risky. Spreadsheets and routine checks might work at 20 vehicles, but once you grow past 50, things start slipping. More operators are using IoT telematics, automatic error codes, and mileage-based service alerts to catch issues early and keep vehicles available. See how rental fleet maintenance automation helps you scale without chaos.
How to automate maintenance alerts for rental fleets
Rental fleet maintenance automation is becoming essential for operators who want to scale without increasing operational complexity. Whether you manage cars, scooters, bikes, or mixed fleets, manual inspections and spreadsheets quickly fail once your fleet grows beyond a few dozen vehicles.
Breakdowns, missed services, and delayed repairs directly affect uptime, revenue, and customer satisfaction. Modern fleet technology makes it possible to automate maintenance using IoT telematics, onboard sensors, automatic error codes, mileage-based triggers, and structured dashboards.
Why manual maintenance tracking does not scale
In small fleets, maintenance is reactive. A customer reports an issue. A staff member checks the vehicle. Someone creates a task manually. This works for 20 vehicles, but for 200 it’s just too much work.
As fleets expand, issues are discovered too late, standards vary between locations, and staff spend more time coordinating than fixing. Rental fleet maintenance automation shifts operations from reactive repairs to preventive, system-driven workflows.
Using IoT telematics to monitor vehicles in real time
IoT telematics devices collect live data such as location, battery level, ignition status, engine health, and mileage. In car rental and car sharing fleets, telematics also track fuel levels, driving behaviour, and diagnostic information.
Instead of waiting for user reports, the system can trigger alerts automatically. For example:
- when a battery drops below 20 percent
- when a vehicle reaches a service mileage threshold
- when a vehicle leaves a defined service area
- when the vehicle receives a few negative reviews
This data feeds directly into the fleet platform, where workflows assign tasks automatically, reducing response times and eliminating internal coordination delays.
Onboard sensors and automatic error codes
Modern vehicles generate diagnostic trouble codes when systems fail. In connected fleets, these codes appear instantly in the operator dashboard.
If a vehicle reports a brake or engine warning, the system can block it from new bookings, notify technicians, and create a repair task automatically. In micromobility fleets, IoT modules detect tilt events, battery degradation, failed unlock attempts, or controller errors.
Digital reporting further improves vehicle availability. ATOM Mobility’s vehicle damage management feature shows how structured workflows reduce downtime and improve transparency.
Mileage-based and time-based service automation
Rule-based servicing is one of the most effective elements of rental fleet maintenance automation.
Operators can set simple service rules, such as:
- changing oil every 15,000 km
- checking brakes every 20,000 km
- running a safety check every six months

When a vehicle reaches one of these limits, the system creates a task automatically. The vehicle can also be temporarily removed from booking until the service is done. This becomes especially important when operating in multiple cities, because it keeps safety standards consistent across the entire fleet.
Maintenance dashboards and task automation
A maintenance dashboard centralises alerts, open issues, and upcoming service requirements.
With structured task management, teams can assign jobs, set priorities, track resolution times, and analyse recurring issues. ATOM Mobility’s Task Manager feature enables operators to convert alerts directly into trackable actions within one system. Alerts that turn into tasks automatically make it clear what needs fixing and when it should be handled.
From reactive to predictive maintenance
With enough historical data, fleets can move beyond fixed intervals. Operators can identify patterns such as faster brake wear in specific models or higher damage rates in certain areas. Predictive maintenance allows servicing based on actual usage intensity, reducing unnecessary costs while preventing major failures.
For operators growing from 50 to 500 vehicles, automation delivers clear advantages:
- higher uptime, because issues are detected earlier
- lower operational costs, since preventive repairs are cheaper than breakdowns
- improved safety and compliance, with no missed service intervals
- better customer experience, with fewer malfunctioning vehicles
- clearer performance metrics for management decisions
Automation supports maintenance teams with clearer priorities and better data.
Building the right automation stack
Effective rental fleet maintenance automation typically requires:
- IoT hardware
- a fleet management platform with automated alerts
- configurable service rules
- a task dashboard
- task automation logic
- analytics tools
When these components are connected, maintenance becomes scalable and controlled instead of reactive. This is especially important for operators running scooter, bike, car sharing, or rental businesses, where uptime directly impacts revenue and retention.
Rental fleet maintenance automation makes maintenance more organised and easier to manage as you grow. IoT telematics, automatic diagnostics, mileage alerts, and task dashboards help create clear processes that support expansion.
For rental and shared mobility operators who want to grow steadily, automating maintenance is essential. It helps keep operations stable and supports long-term profitability.

Lime improved GPS from 12m to ~1.5m accuracy - a big step forward for micromobility. 🚀 But parking compliance isn’t just about knowing where a vehicle is - it’s about proving it’s parked correctly. Real-world pilots (like Prague) show that physical verification (e.g. Bluetooth beacons) can significantly outperform GPS when it comes to actual compliance.
Lime just raised the bar for GPS-based parking compliance. But the bigger question is this: when cities want verified parking, is better GPS enough, or do operators need physical proof? That question matters more than ever.
Lime’s new LimeBike rollout in the UK comes with a major location upgrade. Lime says its new bikes can locate themselves to within 1.5 metres, a significant improvement from the roughly 12.3 metres typical in dense urban environments (this means that based on GPS data, a vehicle can be up to 12 meters farther or closer than the reported GPS location. Now this error is just 1.5 meters). That is real progress.
Lime’s upgrade is a meaningful step forward for GPS-based positioning. At the same time, cities are increasingly looking beyond positioning accuracy toward verifiable parking compliance.
Why this matters
Cities are becoming much less tolerant of parking disorder. In Kensington & Chelsea, the council seized 1,000 rental e-bikes by November 2025 and collected more than £81,000 in charges from operators.
That is the real backdrop for every operator today:
- stricter enforcement
- more political pressure
- less room for ambiguity
So yes, better GPS is good news. But it does not automatically mean cities will see parking as “solved.” A vehicle may be near a bay, beside a bay, or slightly outside it. In dense urban areas, that difference matters. Traditional GPS struggles there because of building interference, blocked satellite visibility, and signal reflections.
So the strategic question is no longer:
“Can we improve GPS?”
It is:
“What kind of system gives cities enough confidence to enforce parking rules fairly and consistently?”
What the Prague pilot showed
A European Commission-backed pilot in Prague tested a different approach: Bluetooth-based parking verification.
Across 25 parking locations and 989 parking events, the results were clear:
- 90.6% success rate for SparkPark (Bluetooth infrastructure)
- 38.4% success rate for GPS/GNSS positioning
- Technology readiness advanced from TRL 6 to 8/9
When the goal is verified parking inside a defined zone, infrastructure-based validation can significantly outperform vehicle-only (GPS) positioning.
GPS improvement vs physical verification
Lime’s move shows how far vehicle-side intelligence is improving. SparkPark points to a different model: verify the parking zone itself.
That distinction matters.
- GPS estimates where the vehicle is
- Infrastructure confirms whether it is correctly parked
Those are fundamentally different approach.
Why cities may prefer the second path
One of the key findings from the Prague pilot is not just technical - it is institutional. Cities often rely on operator-provided data to assess compliance. That creates a trust gap. What cities increasingly want:
- independent verification
- reliable compliance data
- less reliance on operator-reported positioning
This is why the conversation is shifting from “better accuracy” → “verifiable proof.”
What this means for ATOM Mobility partners
Parking compliance is becoming more important than ever:
- permit approvals
- permit renewals
- daily operational performance
Operators who can demonstrate verifiable compliance may have a clear advantage.
With ATOM Mobility, partners can explore:
- integration-ready compliance workflows as ATOM Mobility already implemented bluetooth-based parking verification together with SparkPark
- futher support for infrastructure-based validation like SparkPark
- 10x faster deployment without full fleet replacement
Instead of waiting for hardware cycles, operators can move faster and adapt to changing city expectations.
Lime deserves credit for pushing GPS accuracy forward. It is a meaningful step for the industry. But the Prague pilot highlights something equally important:
Micromobility parking may not be solved by better positioning alone. It may also require verification.
Not:
“Where is the vehicle likely parked?”
But:
“Can this parking event be verified with confidence?”
Final thought?
The future of parking compliance is likely evolving across two complementary paths:
Path 1: improve GPS accuracy
Path 2: implement physical verification
The first makes parking smarter. The second makes it more reliable and verifiable.
And in regulated urban mobility, confidence and trust often matter as much as precision.
Want to explore how ATOM Mobility can support stricter parking compliance workflows and how SparkPark technology works alongside the ATOM Mobility platform? Get in touch with our team to discuss integration options and city-facing parking control setups.
Sources:
Lime GPS upgrade announcement:
https://www.smartcitiesworld.net/micromobility/new-lime-bike-upgrade-to-hit-uk-streets-this-month-12568
West Midlands LimeBike rollout:
https://www.wmca.org.uk/news/new-limebike-to-launch-in-west-midlands/
Kensington & Chelsea enforcement data:
https://www.rbkc.gov.uk/newsroom/1000-e-bikes-seized-borough
Prague SparkPark pilot (EIT Urban Mobility):
https://marketplace.eiturbanmobility.eu/best-practices/high-precision-parking-for-shared-micromobility-in-prague
SparkPark:
https://sparkpark.no


