Shared Mobility - Netherlands

  • Netherlands
  • The projected revenue for the Shared Mobility market in the Netherlands is expected to reach €10,460.00m by 2024.
  • Moreover, the market is expected to show an annual growth rate (CAGR 2024-2029) of 2.47%, resulting in a projected market volume of €11,820.00m by 2029.
  • It is worth noting that the largest market in the market is Public Transportation, with a projected market volume of €4,438.00m by 2024.
  • Furthermore, it is expected that the number of users in the Public Transportation market will amount to 10,220.00k users by 2029.
  • In terms of user penetration, it is estimated to be 88.4% in 2024 and is expected to increase to 94.4% by 2029.
  • Additionally, the average revenue per user (ARPU) is projected to amount to €669.80.
  • Regarding the revenue generated through online sales, it is expected that 56% of the total revenue in the Shared Mobility market will be generated through online sales by 2029.
  • It is interesting to note that in global comparison, China is expected to generate the most revenue with €338bn in 2024.
  • Netherlands' shared mobility market is thriving, with innovative bike-sharing initiatives and a range of electric vehicle options.

Key regions: United States, Saudi Arabia, Germany, Malaysia, India

 
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Analyst Opinion

The Shared Mobility market in Netherlands has been experiencing significant growth and evolution in recent years.

Customer preferences:
Customers in Netherlands are increasingly valuing convenience, flexibility, and sustainability when it comes to transportation options. Shared mobility services such as bike-sharing, car-sharing, and ride-hailing are gaining popularity as they offer cost-effective and environmentally friendly alternatives to traditional modes of transportation.

Trends in the market:
One of the key trends in the Shared Mobility market in Netherlands is the integration of different modes of transportation into a single platform or app. This multimodal approach allows customers to plan and pay for their entire journey using a combination of shared bikes, scooters, cars, and public transport. Additionally, there is a growing emphasis on electric vehicles in shared mobility services, aligning with the country's ambitious sustainability goals.

Local special circumstances:
Netherlands is known for its well-developed infrastructure, including extensive bike lanes and efficient public transportation networks. This infrastructure supports the growth of shared mobility services by providing a conducive environment for their operation. Moreover, the country's dense urban areas and high population density make shared mobility a practical and attractive option for residents and visitors alike.

Underlying macroeconomic factors:
The Shared Mobility market in Netherlands is also influenced by macroeconomic factors such as changing consumer behavior, technological advancements, and government regulations. As more people seek flexible and on-demand transportation solutions, shared mobility services are well-positioned to meet this demand. Additionally, advancements in mobile technology and the rise of digital platforms have made it easier for customers to access and use shared mobility services. Government support and initiatives to promote sustainable transportation further drive the growth of the Shared Mobility market in Netherlands.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of car rentals, ride-hailing, taxi, car-sharing, bike-sharing, e-scooter-sharing, moped-sharing, trains, buses, public transportation, and flights.

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.

Visión general

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • Mode of Transportation
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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