The bike-sharing industry in 2021 and beyond
August 26, 2021
min. read
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.
Interested in launching your own mobility platform?
Click below to learn more or request a demo.
Blog
Digitizing your vehicle rental business: Best apps & software for small operators
🚗📲 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.
January 28, 2026
min. read
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.
Blog
How AI is already powering shared mobility: Real-world use cases from ATOM Mobility
📱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.
January 21, 2026
min. read
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.
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.
Driver App demo credentials - Email: test@atom.com, Password: driver
