Car-sharing - Central Asia

  • Central Asia
  • Central Asia is expected to witness significant growth in the Car-sharing market.
  • By 2024, the projected revenue in this market is US$10.10m, with an estimated annual growth rate (CAGR 2024-2029) of 7.04%.
  • This growth is expected to result in a projected market volume of US$14.19m by 2029.
  • Moreover, the number of users in this market is expected to reach 246.90k users by 2029, with a user penetration rate of 0.2% in 2024 and 0.3% by 2029.
  • The average revenue per user (ARPU) is expected to be US$55.38.
  • By 2029, around 91% of the total revenue generated in the Car-sharing market in Central Asia is expected to be generated through online sales.
  • Comparatively, United States is projected to generate the most revenue in this market, with a projected revenue of US$2,986m in 2024.
  • Despite the increasing popularity of car-sharing in other regions, Central Asian countries have yet to fully embrace the concept due to limited infrastructure and cultural norms.

Key regions: Europe, Germany, India, United States, Malaysia

 
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Analyst Opinion

The Car-sharing market in Central Asia is experiencing significant growth and development.

Customer preferences:
Customers in Central Asia are increasingly opting for car-sharing services due to several reasons. Firstly, car-sharing provides a convenient and cost-effective alternative to car ownership. Many people in the region prefer to use car-sharing services for short trips or occasional transportation needs, rather than owning a car. Additionally, car-sharing offers flexibility and freedom as customers can easily access a vehicle whenever they need it, without the hassle of maintenance, parking, and insurance.

Trends in the market:
The car-sharing market in Central Asia is witnessing a surge in the number of players entering the market. Both local and international car-sharing companies are expanding their operations in the region, leading to increased competition. This competition is driving innovation and improvements in services, such as the introduction of mobile apps for seamless booking and payment processes. Furthermore, there is a growing trend towards electric car-sharing services in Central Asia, as governments and customers alike are prioritizing sustainable transportation options.

Local special circumstances:
Central Asia is home to several densely populated cities with limited parking space and congested roads. This makes car-sharing an attractive option for residents who want to avoid the challenges of finding parking and navigating through traffic. Additionally, the region has a young and tech-savvy population that is open to embracing new technologies and services, making it a fertile ground for the growth of car-sharing.

Underlying macroeconomic factors:
The economic growth and rising middle class in Central Asia are contributing to the development of the car-sharing market. As disposable incomes increase, more people are able to afford the convenience and benefits of car-sharing services. Furthermore, governments in the region are increasingly focused on improving urban mobility and reducing traffic congestion, leading to supportive policies and regulations for the car-sharing industry. In conclusion, the car-sharing market in Central Asia is experiencing significant growth due to customer preferences for convenience and cost-effectiveness. The market is witnessing the entry of new players, driving competition and innovation. Local circumstances such as limited parking space and a tech-savvy population are also contributing to the growth of car-sharing. Moreover, the region's economic growth and supportive government policies are fueling the expansion of the car-sharing market in Central Asia.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of car-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
  • Key Players
  • Sales Channels
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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