Shared Mobility - Sweden

  • Sweden
  • Sweden is projected to witness a significant rise in revenue in the Shared Mobility market, with a projected value of US$8,466.00m by 2024.
  • Moreover, the market is expected to grow at an annual growth rate (CAGR 2024-2028) of -0.44%, resulting in a market volume of US$8,319.00m by 2028.
  • Flights constitute the largest market with a projected value of US$3,040.00m in 2024.
  • The number of users in the Public Transportation market is expected to reach 6,920.00k users by 2028.
  • In the Shared Mobility market, the user penetration rate is expected to change from 94.5% in 2024 to 94.4% by 2028.
  • The average revenue per user (ARPU) is expected to be US$838.90.
  • By 2028, 62% of the total revenue in the Shared Mobility market will be generated through online sales.
  • When viewed in a global context, China is expected to generate the highest revenue in the Shared Mobility market, with a projected value of US$412bn by 2024.
  • Sweden's shared mobility market is dominated by homegrown players such as Voi and Vässla, with a focus on sustainability and user experience.

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

 
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Analyst Opinion

The Shared Mobility market in Sweden is experiencing significant growth and evolution.

Customer preferences:
Customers in Sweden are increasingly valuing convenience, flexibility, and sustainability when it comes to transportation options. Shared mobility services such as ride-hailing, bike-sharing, and car-sharing are becoming popular choices for urban dwellers looking for efficient and eco-friendly ways to get around.

Trends in the market:
One of the key trends in the Shared Mobility market in Sweden is the integration of different modes of transportation within a single platform or app. This trend not only offers users a seamless experience but also promotes the use of multiple shared mobility options for different needs and preferences. Additionally, there is a growing emphasis on electric and hybrid vehicles in shared mobility fleets, aligning with Sweden's commitment to sustainability and reducing carbon emissions.

Local special circumstances:
Sweden's well-developed infrastructure, high internet penetration, and tech-savvy population have created a conducive environment for the growth of shared mobility services. The country's progressive policies and strong focus on innovation have also played a significant role in shaping the Shared Mobility market. Furthermore, the changing attitudes towards car ownership among younger generations in urban areas are driving the demand for shared mobility solutions in Sweden.

Underlying macroeconomic factors:
The growing urbanization in Sweden, particularly in cities like Stockholm, Gothenburg, and Malmo, has led to increased traffic congestion and a greater need for efficient transportation options. Shared mobility services offer a practical solution to the challenges posed by urbanization, providing residents with flexible and cost-effective alternatives to private car ownership. Moreover, the emphasis on sustainability and environmental consciousness in Sweden's national agenda has further propelled the adoption of shared mobility services across 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.

Overview

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