Ride-hailing - Tajikistan

  • Tajikistan
  • It is projected that Tajikistan's Ride-hailing market will generate a revenue of US$13.97m by 2024.
  • Moreover, the revenue is expected to grow annually at a rate of 10.00% (CAGR 2024-2029), resulting in a projected market volume of US$22.50m by 2029.
  • The number of users in this market is also expected to increase and reach 2.34m users by 2029.
  • The user penetration rate is expected to rise from 15.3% in 2024 to 20.8% in 2029.
  • The average revenue per user (ARPU) is expected to be US$8.83.
  • By 2029, 100% of the total revenue in the Ride-hailing market will be generated through online sales.
  • Compared to other countries, China is projected to generate the highest revenue of US$59,560m in 2024.
  • Despite the growing popularity of ride-hailing services in neighboring countries, the market in Tajikistan remains largely untapped due to limited internet access and a preference for traditional taxi services.

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

 
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Analyst Opinion

The Ride-hailing market in Tajikistan 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 the development of this industry. Customer preferences in Tajikistan have shifted towards convenience and affordability, which has driven the demand for ride-hailing services. With the increasing urbanization and congestion in major cities, people are looking for efficient and time-saving transportation options. Ride-hailing platforms provide a convenient solution by offering quick and reliable transportation at competitive prices. Additionally, the ability to book rides through mobile applications has made it easier for customers to access these services. Trends in the ride-hailing market in Tajikistan have been influenced by global and regional market developments. The rise of ride-hailing giants in neighboring countries has created awareness and familiarity with these services among Tajik consumers. This has led to an increased adoption of ride-hailing platforms in Tajikistan. Furthermore, advancements in technology and the widespread use of smartphones have made it easier for ride-hailing companies to operate and expand their services in the country. Local special circumstances have also played a role in the development of the ride-hailing market in Tajikistan. The country's transportation infrastructure is still developing, with limited public transportation options available. This has created a gap in the market that ride-hailing companies have been able to fill. Additionally, the relatively low car ownership rate in Tajikistan has made ride-hailing services an attractive alternative to owning a vehicle. Underlying macroeconomic factors have also contributed to the growth of the ride-hailing market in Tajikistan. The country has experienced steady economic growth in recent years, leading to an increase in disposable income and consumer spending. This has allowed more people to afford ride-hailing services and contribute to the market's expansion. Furthermore, the growing middle class in Tajikistan has created a larger customer base for ride-hailing companies, driving further demand for their services. In conclusion, the ride-hailing market in Tajikistan has witnessed significant growth due to customer preferences for convenience and affordability, global and regional market trends, local special circumstances, and underlying macroeconomic factors. As the market continues to develop, it is expected to provide more options and benefits for both customers and ride-hailing companies in Tajikistan.

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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