Shared Mobility - Estonia

  • Estonia
  • The Shared Mobility market in Estonia is expected to witness significant growth in the coming years.
  • By 2024, the projected revenue is estimated to be US$490.40m.
  • This growth is expected to continue, with a Compound Annual Growth Rate (CAGR) of 2.02% from 2024-2029, resulting in a projected market volume of US$542.00m by 2029.
  • Public Transportation is the largest of the Shared Mobility markets in Estonia and is expected to reach a projected market volume of US$224.50m by 2024.
  • The number of users in the Public Transportation market is expected to increase to 951.80k users by 2029.
  • As of 2024, the user penetration rate is 87.1%, which is expected to reach 95.0% by 2029 in the Shared Mobility market.
  • The average revenue per user (ARPU) is projected to be US$426.70.
  • E-commerce is expected to play a significant role in the growth of the Shared Mobility market in Estonia.
  • By 2029, 53% of the total revenue is expected to be generated through online sales.
  • In global comparison, China is expected to generate the most revenue in the Shared Mobility market, with a projected revenue of US$365bn in 2024.
  • Estonia's shared mobility market is dominated by bike-sharing services such as Bolt and Citybee, with increasing demand for electric scooters and cars.

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

 
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Analyst Opinion

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

Customer preferences:
Customers in Estonia are increasingly valuing convenience, cost-efficiency, and sustainability when it comes to transportation options. Shared Mobility services such as ride-hailing, car-sharing, and bike-sharing are gaining popularity due to their flexibility and affordability compared to traditional car ownership.

Trends in the market:
One prominent trend in the Estonian Shared Mobility market is the integration of various services into multi-modal platforms, allowing users to access different modes of transportation through a single app. This trend not only enhances the overall customer experience but also promotes the use of shared transportation options over private vehicles. Additionally, the market is witnessing a rise in electric scooter and bike-sharing services, catering to the growing demand for eco-friendly mobility solutions in urban areas.

Local special circumstances:
Estonia's relatively small size and high population density in urban centers create a conducive environment for Shared Mobility services to thrive. The country's tech-savvy population and strong digital infrastructure further support the adoption of innovative mobility solutions. Moreover, the government's initiatives to reduce traffic congestion and carbon emissions are driving the development of Shared Mobility offerings in Estonia.

Underlying macroeconomic factors:
The increasing urbanization and changing lifestyles in Estonia are influencing the way people perceive transportation, leading to a shift towards shared and on-demand mobility services. Furthermore, the rising awareness of environmental issues and the need for sustainable transportation solutions are shaping the growth of the Shared Mobility market in the country. Economic factors such as fluctuating fuel prices and the overall cost of car ownership also play a role in driving consumers towards shared transportation options.

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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