Bike-sharing - Netherlands

  • Netherlands
  • The Bike-sharing market in the Netherlands is expected to experience an upward trend in revenue, with projections estimating a rise from €23.42m in 2024.
  • It is anticipated that this growth will continue with an annual growth rate (CAGR 2024-2028) of 4.44%, resulting in a projected market volume of €27.86m by 2028.
  • Alongside this, the number of users in the Bike-sharing market is also expected to increase, with projections estimating 1.18m users users by 2028.
  • User penetration is predicted to rise from 6.0% in 2024 to 6.6% by 2028.
  • The average revenue per user (ARPU) is expected to be €22.07.
  • Additionally, in the Netherlands' Bike-sharing market is anticipated to generate 86% of its total revenue through online sales by 2028.
  • In comparison with other countries, China is expected to generate the highest revenue for the Bike-sharing market globally, with projections estimating €5,443m in 2024.
  • Netherlands' bike-sharing market is thriving due to its flat terrain, bike-friendly infrastructure, and high population density in cities.

Key regions: Thailand, China, Germany, Saudi Arabia, United States

 
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Analyst Opinion

The Bike-sharing market in Netherlands has been experiencing significant growth in recent years.

Customer preferences:
One of the main reasons for the growth in the Bike-sharing market in Netherlands is the increasing popularity of sustainable transportation options. Customers are becoming more conscious of the environmental impact of traditional modes of transport and are seeking greener alternatives. Bike-sharing provides a convenient and eco-friendly way for people to travel short distances, especially in urban areas where traffic congestion can be a major issue. Additionally, the rise of health and wellness trends has also contributed to the demand for bike-sharing services, as people are increasingly incorporating exercise into their daily routines.

Trends in the market:
The Bike-sharing market in Netherlands has seen a surge in the number of players entering the market. This has led to increased competition and innovation, with companies offering different types of bikes, pricing models, and additional services to attract customers. The market has also witnessed the introduction of electric bikes, which provide an easier and more efficient way of commuting. Furthermore, bike-sharing apps have become popular, allowing users to easily locate and unlock bikes using their smartphones.

Local special circumstances:
The Netherlands is known for its extensive cycling infrastructure, making it an ideal market for bike-sharing services. The country has a well-developed network of bike lanes and dedicated cycling paths, making it safe and convenient for people to ride bikes. Additionally, the flat terrain of the Netherlands makes cycling a relatively easy mode of transportation, further encouraging the use of bike-sharing services.

Underlying macroeconomic factors:
The Bike-sharing market in Netherlands has also been influenced by macroeconomic factors. The country has a strong economy and a high standard of living, which allows people to afford the convenience and flexibility of bike-sharing services. Furthermore, the government has implemented policies to promote cycling as a sustainable mode of transport, including providing subsidies for bike-sharing companies and investing in cycling infrastructure. These factors have created a favorable environment for the growth of the Bike-sharing market in Netherlands.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of bike-sharing 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.

Visión general

  • Revenue
  • Key Players
  • Sales Channels
  • Analyst Opinion
  • Users
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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