Shared Mobility - Norway

Norway

In Norway, the Shared Mobility market is predicted to experience a significant surge in revenue, with an expected total of €4,387.00m by 2024.
Moreover, the market is projected to display an annual growth rate (CAGR 2024-2028) of 0.77%, resulting in a market size of €4,524.00m by 2028.
Among the different Shared Mobility markets, Flights is the largest, with an anticipated market volume of €1,746.00m by 2024.
In terms of users, the largest market is the Public Transportation market which is expected to reach 3,412.00k users by 2028.
The user penetration rate in the Shared Mobility market is predicted to be 95.0% in 2024 and 95.0% in 2028.
The average revenue per user (ARPU) is expected to be €837.50.
By 2028, 67% of the total revenue in the Shared Mobility market is expected to come from online sales.
In global comparison, China is the leading country in terms of revenue generation in this market, with an expected revenue of €376bn in 2024.
Norway leads the way in shared mobility with a high adoption rate of electric vehicles and bike-sharing programs.

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

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Analyst Opinion

The Shared Mobility market in Norway has been experiencing significant growth and development in recent years.

Customer preferences: Customers in Norway are increasingly valuing convenience, sustainability, and cost-effectiveness when it comes to transportation options. This has led to a growing demand for shared mobility services that offer flexibility and eco-friendly solutions.

Trends in the market: One of the key trends in the Shared Mobility market in Norway is the rise of electric scooters as a popular mode of transportation in urban areas. These scooters provide a convenient and environmentally friendly way for people to travel short distances, especially in crowded city centers. Additionally, car-sharing services have gained traction among Norwegians who prefer not to own a vehicle but still have access to one when needed.

Local special circumstances: Norway's strong focus on sustainability and environmental conservation has played a significant role in shaping the Shared Mobility market in the country. The government's incentives and policies to promote electric vehicles and reduce carbon emissions have made Norway a favorable environment for shared mobility operators offering eco-friendly transportation solutions. Additionally, the country's well-developed infrastructure and tech-savvy population have contributed to the success of shared mobility services.

Underlying macroeconomic factors: The overall economic stability and high standard of living in Norway have also supported the growth of the Shared Mobility market. With a relatively affluent population and a high level of disposable income, Norwegians are willing to pay for convenient and efficient transportation services. Moreover, the government's investments in transportation infrastructure and commitment to reducing traffic congestion have created opportunities for shared mobility providers to thrive in the market.

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.