Car-sharing - Hong Kong

  • Hong Kong
  • It is projected that the Car-sharing market in Hong Kong will see a revenue of US$183.90m in 2024.
  • The revenue is expected to exhibit an annual growth rate (CAGR 2024-2028) of 7.04%, leading to a projected market volume of US$241.40m by 2028.
  • Additionally, the number of users in this market is expected to reach 0.57m users by 2028.
  • In 2024, the user penetration is expected to be 6.2% and is projected to increase to 7.5% by 2028.
  • The Average Revenue Per User (ARPU) is expected to be US$0.40k.
  • Furthermore, it is expected that 97% of the total revenue in Car-sharing market in Hong Kong will be generated through online sales by 2028.
  • In comparison to other countries, United States is projected to generate the highest revenue (US$3,066m in 2024) in the Car-sharing market.
  • Car-sharing services in Hong Kong are gaining popularity as a convenient and cost-effective alternative to private car ownership.

Key regions: United States, Germany, South America, Indonesia, Malaysia

 
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Analyst Opinion

The Car-sharing market in Hong Kong has been experiencing significant growth in recent years.

Customer preferences:
One of the main reasons for the growth of the car-sharing market in Hong Kong is the changing preferences of customers. With the increasing awareness of environmental issues and the desire for more sustainable transportation options, many people in Hong Kong are opting for car-sharing services instead of owning a car. Car-sharing allows individuals to have access to a vehicle when they need it, without the financial burden of owning and maintaining a car. Additionally, the convenience and flexibility offered by car-sharing services appeal to the busy urban population in Hong Kong.

Trends in the market:
The car-sharing market in Hong Kong is witnessing several trends. Firstly, there is a growing number of car-sharing providers entering the market, offering a variety of vehicles and membership plans to cater to different customer needs. This competition is driving innovation and improvement in service quality, as providers strive to differentiate themselves and attract more customers. Secondly, there is an increasing adoption of electric vehicles (EVs) in the car-sharing market. The government of Hong Kong has been actively promoting the use of EVs to reduce air pollution, and this has translated into a higher demand for electric car-sharing services. Lastly, there is a trend towards the integration of car-sharing services with other modes of transportation, such as public transit and ride-hailing services. This integration allows for seamless travel experiences and encourages more people to use car-sharing as part of their daily commute.

Local special circumstances:
Hong Kong's unique geographical and urban landscape contributes to the growth of the car-sharing market. With limited land area and a dense population, owning a car in Hong Kong is expensive and impractical for many residents. The high cost of vehicle ownership, including parking fees and insurance, makes car-sharing a more affordable option for those who need occasional access to a car. Additionally, the well-developed public transportation system in Hong Kong provides a reliable alternative to private car ownership, further encouraging people to choose car-sharing as a convenient supplement to public transit.

Underlying macroeconomic factors:
Several macroeconomic factors are driving the growth of the car-sharing market in Hong Kong. Firstly, the rising cost of living and housing prices in the city have made car ownership less affordable for many residents. As a result, people are turning to car-sharing as a cost-effective alternative. Secondly, the increasing emphasis on sustainability and environmental protection in Hong Kong has led to government policies and incentives that promote the use of car-sharing and electric vehicles. These policies, coupled with the growing awareness of environmental issues among the population, have created a favorable environment for the car-sharing market to thrive. Lastly, the rapid urbanization and population growth in Hong Kong have created a need for efficient and flexible transportation solutions. Car-sharing provides a convenient and flexible option for urban dwellers who require occasional access to a car without the hassle of ownership. In conclusion, the car-sharing market in Hong Kong is growing due to changing customer preferences, including a desire for more sustainable transportation options and the convenience offered by car-sharing services. The market is characterized by increasing competition, the adoption of electric vehicles, and integration with other transportation modes. Hong Kong's unique urban landscape and high cost of car ownership contribute to the popularity of car-sharing as a more affordable and practical transportation solution. Furthermore, macroeconomic factors such as the rising cost of living, government policies, and urbanization are driving the growth of the car-sharing market in Hong Kong.

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
  • Sales Channels
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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