Ride-hailing - Bulgaria

  • Bulgaria
  • It is projected that by 2024 revenue in the Ride-hailing market in Bulgaria will reach US$24.09m.
  • Furthermore, it is expected to exhibit an annual growth rate (CAGR 2024-2029) of 4.89%, which would result in a projected market volume of US$30.59m by 2029.
  • The number of users in the Ride-hailing market is also expected to increase, amounting to 1.39m users by 2029.
  • It is projected that user penetration in Bulgaria will be 18.5% in 2024 and 21.9% by 2029.
  • The average revenue per user (ARPU) is expected to be US$19.63.
  • By 2029, 100% of the total revenue in the Ride-hailing market will be generated through online sales.
  • It is worth noting that in the global comparison, China is expected to generate the most revenue (US$59,560m in 2024) in the Ride-hailing market.
  • Bulgaria's Ride-hailing market is dominated by Uber and Bolt, but local players like TaxiMe and Star Taxi are gaining traction.

Key regions: South America, Europe, China, Saudi Arabia, Malaysia

 
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Analyst Opinion

The Ride-hailing market in Bulgaria has seen significant growth and development in recent years, driven by changing customer preferences and local special circumstances.

Customer preferences:
In Bulgaria, customers are increasingly turning to ride-hailing services for their transportation needs. This can be attributed to several factors. Firstly, the convenience and ease of use offered by ride-hailing platforms have made them a popular choice among consumers. With just a few taps on their smartphones, customers can book a ride and track its progress in real-time. This level of convenience is particularly appealing to busy urban dwellers who are looking for efficient and hassle-free transportation options. Another factor driving the popularity of ride-hailing services in Bulgaria is the competitive pricing. Ride-hailing companies often offer lower fares compared to traditional taxi services, making them an attractive option for cost-conscious consumers. Additionally, the availability of various ride options, such as shared rides or luxury vehicles, allows customers to choose the service that best suits their needs and budget.

Trends in the market:
One of the key trends in the ride-hailing market in Bulgaria is the increasing adoption of electric vehicles (EVs) by ride-hailing companies. This trend is driven by both environmental concerns and cost savings. EVs are more environmentally friendly compared to traditional gasoline-powered vehicles, which aligns with the growing global focus on sustainability. Additionally, the lower operating costs of EVs, including lower fuel and maintenance expenses, make them an attractive option for ride-hailing companies looking to improve their profitability. Another trend in the market is the integration of ride-hailing services with other mobility solutions. Ride-hailing companies are partnering with public transportation providers to offer seamless multimodal transportation options to customers. This integration allows customers to plan and book their entire journey, including public transportation and ride-hailing services, through a single platform. This trend is driven by the increasing demand for integrated and sustainable transportation solutions in urban areas.

Local special circumstances:
Bulgaria's ride-hailing market is also influenced by local special circumstances. One of these circumstances is the high level of smartphone penetration in the country. The widespread use of smartphones has made it easier for ride-hailing companies to reach and serve customers. Additionally, the availability of reliable mobile internet connectivity enables customers to access ride-hailing services on the go, further contributing to the growth of the market. Another special circumstance in Bulgaria is the regulatory environment. The government has implemented regulations to ensure the safety and quality of ride-hailing services. These regulations include requirements for driver background checks, vehicle inspections, and insurance coverage. By implementing these regulations, the government aims to protect both customers and drivers, while also fostering a fair and competitive market.

Underlying macroeconomic factors:
The growth and development of the ride-hailing market in Bulgaria are also influenced by underlying macroeconomic factors. The country's strong economic growth and rising disposable incomes have contributed to increased consumer spending on transportation services. Additionally, urbanization and population growth in major cities have created a larger customer base for ride-hailing companies. In conclusion, the ride-hailing market in Bulgaria is experiencing significant growth and development due to changing customer preferences, such as convenience and competitive pricing. The market is also influenced by trends such as the adoption of electric vehicles and the integration of ride-hailing services with other mobility solutions. Local special circumstances, such as high smartphone penetration and regulatory environment, further shape the market. Finally, underlying macroeconomic factors, including economic growth and urbanization, contribute to the market's expansion.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings and revenues of ride-hailing 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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