Ride-hailing - Netherlands | Statista Market Forecast

The Ride-hailing market in the Netherlands is expected to witness a significant rise in revenue, with the projected revenue expected to reach US$731.70m by the year 2024.
This growth is anticipated to continue, with an estimated annual growth rate (CAGR 2024-2029) of 3.19%, leading to a projected market volume of US$856.00m by the year 2029.
Moreover, the number of users in this market is also expected to rise, with an estimated amount of 2.51m users by the same year.
As per projections, user penetration is expected to be 12.8% in 2024 and 14.0% by 2029.
The average revenue per user (ARPU) is expected to be US$322.40, which is a significant indicator of the potential growth of the Ride-hailing market in the Netherlands.
The Ride-hailing market is an online-only market.
It is noteworthy that in global comparison, China is expected to generate the most revenue in the Ride-hailing market, with the projected revenue estimated to reach US$60bn in the year 2024.
In the Netherlands, ride-hailing companies are facing strict regulations and increasing competition from traditional taxi services, which offer their services increasingly online.

Definition:

The Ride-hailing market encompasses on-demand transportation services facilitated through mobile apps or online platforms. This market covers both private vehicle rides and taxi services, all booked exclusively online. It includes Transportation Network Companies (TNCs), such as Uber and Lyft, traditional taxis booked via apps, such as Free Now or Cabify, and ride-pooling services, such as Moia and Via. This market excludes peer-to-peer ride-sharing, focusing on professionally operated transport services booked digitally for efficient and convenient urban mobility. Rides of traditional taxi services hailed on the street or booked via telephone are not included in this market.

Additional Information:

The main performance indicators of the Ride-hailing market are revenues, average revenue per user (ARPU), user numbers and user penetration rates. Additionally, online and offline sales channel shares display the distribution of online and offline bookings. The ARPU refers to the average revenue one user generates per year while the revenue represents the total booking volume. Revenues are generated through both online and offline sales channels and include exclusively B2C revenues and users for the mentioned market. User numbers show only those individuals who have made a reservation, independent of the number of travelers on the booking. Each user is only counted once per year.

The booking volume includes all booked rides made by users from the selected region, regardless of where the ride took place.

For further information on the data displayed, refer to the info button right next to each box.

Platforms that let users book rides offered by drivers using their private vehicles (e.g., Uber)
Taxi companies that offer their services through an app (e.g., Free Now)
Platforms that offer shared rides (ride-pooling) with other passengers (e.g., Moia, Via)

Traditional taxi rides booked offline with taxi companies (via street-hailing or by telephone)

The Ride-hailing market in Netherlands has been experiencing significant growth in recent years, driven by changing customer preferences, emerging trends, and local special circumstances. Customer preferences in the Netherlands have shifted towards more convenient and flexible transportation options, which has fueled the demand for ride-hailing services. Customers are increasingly looking for on-demand transportation solutions that offer ease of booking, shorter waiting times, and transparent pricing. Ride-hailing platforms have been able to meet these preferences by providing user-friendly mobile applications, real-time tracking, and competitive pricing models. Additionally, the growing popularity of ride-hailing services among younger generations has also contributed to the market's expansion. Trends in the market indicate a strong growth trajectory for ride-hailing services in the Netherlands. The market has witnessed the entry of several international ride-hailing companies, which has intensified competition and led to innovation in service offerings. These companies have introduced new features such as shared rides, electric vehicles, and loyalty programs to attract and retain customers. Furthermore, ride-hailing platforms have expanded their services beyond urban areas to cater to suburban and rural communities, thereby widening their customer base. Local special circumstances in the Netherlands have also played a role in the development of the ride-hailing market. The country has a well-developed transportation infrastructure, including an extensive network of bike lanes and public transportation systems. However, factors such as unpredictable weather conditions and limited parking spaces have made ride-hailing services an attractive alternative for many residents. Moreover, the Netherlands has a large population of expatriates and tourists who rely on ride-hailing services for their transportation needs, further driving market growth. Underlying macroeconomic factors have also contributed to the growth of the ride-hailing market in the Netherlands. The country has a strong economy and high disposable income levels, which have increased the affordability of ride-hailing services for a larger segment of the population. Additionally, the government's support for sustainable transportation solutions and the promotion of electric vehicles have created a favorable environment for ride-hailing platforms to expand their operations. In conclusion, the Ride-hailing market in Netherlands is experiencing significant growth due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The market is expected to continue expanding as ride-hailing platforms innovate and adapt to meet the evolving needs of customers in the country.

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings and revenues of ride-hailing services.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on a specific rationale for each market. As a basis for evaluating markets, we use financial reports, third-party studies and reports, federal statistical offices, industry associations, and price data. To estimate the number of users and bookings, we furthermore use data from the Statista Consumer Insigths Global survey. In addition, we use relevant key market indicators and data from country-specific associations, such as demographic data, GDP, consumer spending, internet penetration, and device usage. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, ARIMA, which allows time series forecasts, accounting for stationarity of data and enabling short-term estimates. Additionally, simple linear regression, Holt-Winters forecast, the S-curve function and exponential trend smoothing methods are applied.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change.

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