Shared Mobility - Romania

  • Romania
  • It is estimated that the revenue in Romania's Shared Mobility market will reach US$3,850.00m by 2024.
  • Moreover, the sector is likely to demonstrate an annual growth rate (CAGR 2024-2029) of 3.77%, which could result in an anticipated market volume of US$4,633.00m by 2029.
  • Flights is the largest of the Shared Mobility markets, with a projected market volume of US$1,657.00m in 2024.
  • It is expected that by 2029, the number of Public Transportation users will reach 11.81m users.
  • In 2024, the user penetration rate is 76.0% and is projected to reach 83.3% by 2029.
  • The average revenue per user (ARPU) is expected to be US$258.10.
  • By 2029, 61% of total revenue in Romania's Shared Mobility market will be generated through online sales.
  • In comparison to other countries, China is expected to generate the most revenue, with US$365bn in 2024.
  • Shared mobility in Romania is gaining popularity as urbanization increases and people look for more sustainable transportation options.

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

 
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Analyst Opinion

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

Customer preferences:
In Romania, customers are increasingly looking for convenient and cost-effective transportation options. Shared Mobility services such as ride-hailing, car-sharing, and bike-sharing have gained popularity due to their flexibility and affordability. Customers appreciate the ease of access to these services through mobile apps, making it convenient to book and use shared vehicles on the go.

Trends in the market:
One of the key trends in the Shared Mobility market in Romania is the expansion of ride-hailing services in urban areas. As cities become more congested and parking spaces scarce, many residents are opting for on-demand transportation solutions instead of owning a car. This trend is driven by the younger population who prioritize access over ownership and value the freedom to choose different transportation modes based on their needs.

Local special circumstances:
Romania's urban centers, such as Bucharest, are experiencing rapid urbanization and population growth, leading to increased demand for efficient transportation solutions. The country's infrastructure development and government support for sustainable mobility initiatives have also contributed to the growth of the Shared Mobility market. Additionally, the rise of electric scooters and e-bikes as popular modes of shared transportation reflects a growing awareness of environmental issues among Romanian consumers.

Underlying macroeconomic factors:
The economic landscape in Romania, with a focus on digitalization and technology adoption, has created a favorable environment for Shared Mobility services to thrive. As disposable incomes rise and the middle class expands, more consumers are willing to spend on convenient transportation options rather than traditional car ownership. Furthermore, the competitive landscape among Shared Mobility providers has led to innovation and improved services, enhancing the overall customer experience 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.

Overview

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