Shared Mobility - Kyrgyzstan

  • Kyrgyzstan
  • Kyrgyzstan is expected to witness a significant growth in the Shared Mobility market in the coming years.
  • The revenue in this market is projected to reach US$90.31m in 2024, with an annual growth rate of 5.48%, resulting in a projected market volume of US$117.90m by 2029.
  • The largest market of this market in Kyrgyzstan is Flights, with a projected market volume of US$34.28m in 2024.
  • The number of users in Public Transportation is expected to reach 3.38m users by 2029.
  • The user penetration rate in Shared Mobility market is expected to be 63.5% in 2024 and 74.6% by 2029.
  • The average revenue per user (ARPU) is expected to be US$20.79.
  • Furthermore, it is expected that 51% of total revenue will be generated through online sales by 2029.
  • In comparison to other countries, China is projected to generate the most revenue in the Shared Mobility market, with an expected revenue of US$365bn in 2024.
  • Shared mobility services are emerging in Kyrgyzstan, providing affordable and convenient transportation options for urban dwellers.

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

 
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Analyst Opinion

The Shared Mobility market in Kyrgyzstan is experiencing a notable growth trajectory, driven by evolving customer preferences, unique local circumstances, and underlying macroeconomic factors.

Customer preferences:
Customers in Kyrgyzstan are increasingly valuing convenience, affordability, and sustainability when it comes to transportation options. Shared Mobility services such as ride-hailing, bike-sharing, and car-sharing are gaining popularity as they offer flexibility and cost-effectiveness compared to traditional transportation methods.

Trends in the market:
One of the prominent trends in the Shared Mobility market in Kyrgyzstan is the rapid adoption of ride-hailing services. This trend can be attributed to the growing urban population, increasing smartphone penetration, and the need for efficient transportation solutions in congested cities. Additionally, bike-sharing services are also on the rise, especially in urban areas where customers are looking for eco-friendly and healthy transportation alternatives.

Local special circumstances:
Kyrgyzstan's unique geography and infrastructure play a significant role in shaping the Shared Mobility market. The mountainous terrain and varying road conditions in the country make certain areas inaccessible or challenging for traditional transportation modes. Shared Mobility services offer a practical solution by providing convenient options for navigating through different terrains and addressing the last-mile connectivity issue in urban and rural areas.

Underlying macroeconomic factors:
Economic factors such as rising disposable incomes, urbanization, and a young tech-savvy population are fueling the growth of the Shared Mobility market in Kyrgyzstan. As more people move to cities for employment and educational opportunities, the demand for efficient and affordable transportation services continues to increase. Moreover, the government's initiatives to improve transportation infrastructure and promote sustainable mobility solutions are also contributing to the expansion of the Shared Mobility market in 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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