E-Scooter-sharing - Bulgaria

  • Bulgaria
  • The E-Scooter-sharing market in Bulgaria is expected to witness considerable growth in revenue, reaching US$1.66m in 2024.
  • This growth is projected to continue with an annual growth rate (CAGR 2024-2029) of 6.46%, resulting in a market volume of US$2.27m by 2029.
  • Additionally, the number of users in this market is expected to increase to 134.40k users by 2029, with a user penetration rate of 1.8% in 2024, rising to 2.1% by 2029.
  • The average revenue per user (ARPU) is expected to be US$13.97.
  • Furthermore, it is projected that 100% of total revenue in the E-Scooter-sharing market will be generated through online sales by 2029.
  • In terms of global comparison, United States is expected to generate the highest revenue, with US$730,200k projected in 2024.
  • E-Scooter-sharing is gaining popularity in Bulgaria as an affordable and eco-friendly transportation option, with companies like Lime and Circ expanding their services in major cities.

Key regions: China, Germany, Thailand, Saudi Arabia, India

 
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Analyst Opinion

The E-Scooter-sharing market in Bulgaria has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to this development. Customer preferences in Bulgaria have shifted towards more sustainable and convenient transportation options. E-Scooter-sharing provides an eco-friendly alternative to traditional modes of transportation, such as cars or motorcycles. Additionally, the convenience of using E-Scooters for short-distance travel has attracted many customers who prefer to avoid traffic congestion and parking issues. Trends in the E-Scooter-sharing market in Bulgaria have been influenced by global and regional developments. Worldwide, there has been a growing trend towards urbanization, with more people living in cities. This has created a demand for efficient and flexible transportation solutions, which E-Scooter-sharing companies have capitalized on. In Bulgaria specifically, the market has been driven by the increasing popularity of shared mobility services and the rise of the gig economy. Local special circumstances in Bulgaria have also played a role in the development of the E-Scooter-sharing market. The country has a relatively young population, with a high percentage of tech-savvy individuals. This demographic is more likely to embrace new technologies and adopt innovative transportation solutions. Additionally, the compact size of many Bulgarian cities makes E-Scooters a practical and convenient mode of transportation. Underlying macroeconomic factors have further supported the growth of the E-Scooter-sharing market in Bulgaria. The country has experienced steady economic growth in recent years, which has increased disposable income and consumer spending. This has allowed more people to afford E-Scooter-sharing services and contribute to the market's expansion. Furthermore, the government has implemented policies to promote sustainable transportation and reduce carbon emissions, creating a favorable environment for E-Scooter-sharing companies. In conclusion, the E-Scooter-sharing market in Bulgaria is developing due to customer preferences for sustainable and convenient transportation options, global and regional trends towards urbanization and shared mobility, local special circumstances such as a young and tech-savvy population, and underlying macroeconomic factors such as economic growth and government policies.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings and revenues of e-scooter-sharing services.

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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