Shared Mobility - Tajikistan

  • Tajikistan
  • The Shared Mobility market in Tajikistan is expected to experience an upward trend in revenue, with a projection of US$125.60m in 2024.
  • This projection is expected to show an annual growth rate of 7.34%, resulting in a projected market volume of US$179.00m by 2029.
  • The largest market in Tajikistan's Shared Mobility market industry is Flights, with an estimated market volume of US$43.74m in 2024.
  • By 2029, the number of Public Transportation users is expected to reach 3.91m users.
  • The user penetration rate is expected to increase from 49.5% in 2024 to 59.2% by 2029.
  • The average revenue per user (ARPU) is expected to be US$24.55.
  • In Tajikistan's Shared Mobility market, online sales are expected to generate 56% of total revenue by 2029.
  • It's interesting to note that in global comparison, China is projected to generate the most revenue in the Shared Mobility market, with a projection of US$365bn in 2024.
  • Despite the lack of infrastructure and regulatory framework, Tajikistan's shared mobility market is slowly gaining traction with the emergence of local startups.

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

 
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Analyst Opinion

Shared Mobility services in Tajikistan are gaining momentum as the demand for convenient and cost-effective transportation options continues to rise in the country.

Customer preferences:
Customers in Tajikistan are increasingly looking for flexible and affordable transportation solutions, which has led to a growing interest in Shared Mobility services. The convenience of being able to book a ride on-demand through mobile applications appeals to the tech-savvy population in urban areas. Moreover, the cost-sharing aspect of Shared Mobility services is particularly attractive to budget-conscious individuals and those looking to reduce their overall transportation expenses.

Trends in the market:
One of the prominent trends in the Shared Mobility market in Tajikistan is the expansion of services beyond major cities into smaller towns and rural areas. As infrastructure development improves and internet connectivity spreads across the country, Shared Mobility providers are capitalizing on the opportunity to reach a wider customer base. Additionally, the introduction of electric vehicles in some Shared Mobility fleets is aligning with the global trend towards sustainable transportation solutions.

Local special circumstances:
Tajikistan's unique geographical landscape, characterized by mountainous regions and remote villages, presents both challenges and opportunities for Shared Mobility providers. The need for reliable transportation in hard-to-reach areas has created a niche market for specialized Shared Mobility services tailored to cater to these specific locations. Furthermore, the cultural emphasis on communal living and shared resources resonates well with the concept of Shared Mobility, contributing to its acceptance and adoption in the local market.

Underlying macroeconomic factors:
The growing middle-class population in Tajikistan, coupled with increasing urbanization rates, is driving the demand for efficient transportation options. Shared Mobility services offer a practical solution to the congested traffic conditions in cities and provide an alternative to traditional public transportation systems. Moreover, the government's efforts to improve road infrastructure and promote digitalization are creating a conducive environment for the expansion of Shared Mobility services across the country.

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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