Shared Mobility - Kazakhstan

  • Kazakhstan
  • Kazakhstan is expected to see a significant rise in revenue within the Shared Mobility market industry, with a projected revenue of US$1,922.00m in 2024.
  • It is expected that the market will experience a Compound Annual Growth Rate (CAGR 2024-2028) of -0.05%, resulting in a projected market volume of US$1,918.00m by 2028.
  • Public Transportation is the largest of the Shared Mobility markets, with a forecasted market volume of US$864.60m in 2024.
  • By 2028, the number of Public Transportation users is expected to increase to 12,030.00k users.
  • As of 2024, user penetration is 89.5%, with an expected increase to 90.8% by 2028.
  • The Average Revenue Per User (ARPU) is forecasted to be US$108.30.
  • It is predicted that by 2028, 52% of the total revenue in the Shared Mobility market will be generated through online sales.
  • In comparison to other countries, China is expected to generate the most revenue, with a forecasted revenue of US$412bn in 2024.
  • The shared mobility market in Kazakhstan is rapidly growing, driven by the increasing popularity of ride-sharing services and the government's push towards sustainable transportation.

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

 
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Analyst Opinion

The Shared Mobility market in Kazakhstan is experiencing significant growth and evolution in response to changing consumer preferences and local market dynamics.

Customer preferences:
Customers in Kazakhstan are increasingly valuing convenience, flexibility, and cost-effectiveness when it comes to transportation options. Shared Mobility services such as ride-hailing, bike-sharing, and car-sharing are becoming popular choices among urban dwellers looking for efficient and affordable ways to get around the city.

Trends in the market:
One notable trend in the Shared Mobility market in Kazakhstan is the increasing adoption of ride-hailing services. With the rise of smartphone usage and the convenience of booking a ride with just a few taps, more people are opting for on-demand transportation solutions. This trend is reshaping the traditional taxi industry and providing consumers with more choices for their daily commute.

Local special circumstances:
Kazakhstan's unique geographical and demographic characteristics play a role in shaping the Shared Mobility market in the country. The vast size of the country, particularly in urban areas, creates a need for efficient transportation solutions to navigate the sprawling cities. Additionally, the growing urban population and rising middle-class are driving demand for convenient and cost-effective mobility options.

Underlying macroeconomic factors:
The economic development and increasing disposable income in Kazakhstan are contributing to the growth of the Shared Mobility market. As more people have the means to spend on transportation services, the demand for shared mobility options is expected to continue rising. Additionally, government initiatives to improve urban infrastructure and reduce traffic congestion are creating a favorable environment for Shared Mobility providers to expand their operations 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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