Shared Mobility - Croatia

  • Croatia
  • The Shared Mobility market in Croatia is poised for growth, with revenue projected to reach US$1,000.00m by 2024.
  • This growth is expected to continue with an annual growth rate (CAGR 2024-2029) of 3.42%, resulting in a projected market volume of US$1,183.00m by 2029.
  • The largest market in Croatia is Public Transportation, which is expected to reach a projected market volume of US$460.30m by 2024.
  • By 2029, the number of Public Transportation users is expected to amount to 2,878.00k users.
  • In the Shared Mobility market, the user penetration is expected to rise from 91.2% in 2024 to 95.0% by 2029.
  • The average revenue per user (ARPU) is expected to be US$275.20.
  • By 2029, 53% of the total revenue in the Shared Mobility market is expected to be generated through online sales.
  • In comparison with other countries, China is projected to generate the most revenue in this market, with US$365bn in 2024.
  • Croatia's shared mobility market is growing, with a focus on bike-sharing and electric scooters in major cities.

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

 
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Analyst Opinion

The Shared Mobility market in Croatia has been steadily growing in recent years, reflecting the global trend towards more sustainable and convenient transportation options.

Customer preferences:
Customers in Croatia are increasingly looking for flexible and cost-effective transportation solutions, which has led to a rise in demand for shared mobility services. The convenience of being able to easily access different modes of transportation, such as car-sharing, bike-sharing, and ride-hailing, appeals to a wide range of consumers in the country.

Trends in the market:
One notable trend in the Shared Mobility market in Croatia is the growing popularity of electric scooters as a convenient and eco-friendly way to navigate urban areas. This trend aligns with the global shift towards electric vehicles and sustainable transportation options. Additionally, partnerships between shared mobility providers and local businesses or municipalities have helped to expand the reach of these services in Croatia.

Local special circumstances:
Croatia's unique geography and tourist destinations play a significant role in shaping the Shared Mobility market in the country. With a growing number of tourists visiting cities like Dubrovnik and Split, there is a higher demand for shared transportation options to explore these areas. This presents opportunities for shared mobility providers to cater to both locals and tourists, offering tailored services to meet different needs.

Underlying macroeconomic factors:
The development of the Shared Mobility market in Croatia is also influenced by macroeconomic factors such as urbanization, technological advancements, and government regulations. As urban areas continue to grow and traffic congestion becomes a pressing issue, shared mobility services offer a solution to reduce the reliance on private car ownership. Technological innovations have made it easier for consumers to access and use shared mobility services, driving further growth in the market. Additionally, government support for sustainable transportation initiatives and investments in infrastructure have created a favorable environment for shared mobility providers to expand their operations in Croatia.

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
  • Global Comparison
  • Methodology
  • Key Market Indicators
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