Shared Mobility - Denmark

  • Denmark
  • Denmark is expected to see a significant growth in its Shared Mobility market, with revenue projected to reach €4,394.00m by 2025.
  • This is expected to result in an annual growth rate (CAGR 2025-2029) of 2.00%, leading to a projected market volume of €4,756.00m by 2029.
  • The largest market in Denmark is Public Transportation, which is projected to have a market volume of €1,774.00m in 2025.
  • It is expected that the number of users in Public Transportation will increase to 4,256.00k users by 2029.
  • In 2025, the user penetration in Denmark's Shared Mobility market is projected to be 95.0%. This is expected to grow to 95.0% by 2029.
  • The average revenue per user (ARPU) is expected to be €653.80.
  • Furthermore, it is projected that 60% of the total revenue in Denmark's Shared Mobility market will be generated through online sales by 2029.
  • In terms of global comparison, China is projected to generate the highest revenue in the Shared Mobility market, with a projected revenue of €348bn in 2025.
  • Denmark's shared mobility market is dominated by electric bikes and scooters, with popular providers including VOI and Donkey Republic.

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

 
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Analyst Opinion

Denmark has seen a significant rise in the Shared Mobility market in recent years.

Customer preferences:
Customers in Denmark are increasingly valuing convenience and sustainability, driving the demand for shared mobility services. The ease of access to various transportation options and the focus on reducing environmental impact are key factors influencing customer preferences in the market.

Trends in the market:
One notable trend in the Shared Mobility market in Denmark is the growing popularity of bike-sharing services. With the country's well-established cycling infrastructure and the promotion of cycling as a sustainable mode of transportation, bike-sharing platforms have gained traction among both locals and tourists. Additionally, car-sharing services are also witnessing a surge in demand, especially in urban areas where owning a car can be costly and impractical.

Local special circumstances:
Denmark's strong emphasis on sustainability and eco-friendly practices plays a significant role in shaping the Shared Mobility market. The government's initiatives to promote green transportation options and reduce carbon emissions have created a favorable environment for shared mobility providers. Moreover, the compact nature of Danish cities and the high population density contribute to the success of shared mobility services, as they offer convenient solutions for navigating urban areas.

Underlying macroeconomic factors:
The stable economy and high standard of living in Denmark support the growth of the Shared Mobility market. With disposable income levels allowing for spending on convenient transportation services, consumers are more inclined to opt for shared mobility options over traditional car ownership. Additionally, the tech-savvy population in Denmark embraces innovative mobility solutions, contributing to the expansion of shared mobility services in the country.

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
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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