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E-Scooter-sharing - Malaysia

Malaysia

Malaysia is projected to witness a surge in revenue in the E-Scooter-sharing market, which is estimated to reach €6,043.00k in 2024.
Moreover, the revenue is expected to grow annually at a rate of 5.10% between 2024 and 2029, resulting in a projected market volume of €7,748.00k by 2029.
The number of users in this market is also expected to increase, amounting to 790.70k users by 2029, with a projected user penetration of 1.9% in 2024 and 2.2% by 2029.
The average revenue per user (ARPU) is expected to amount to €9.00.
Interestingly, 100% of total revenue in this market will be generated through online sales by 2029.
It is worth noting that in global comparison, United States is projected to generate the most revenue in this market, with a whopping €677,100k in 2024.
The rise of E-Scooter-sharing in Malaysia is being driven by increasing demand for affordable and convenient urban transportation options.

Key regions: China, Germany, Thailand, Saudi Arabia, India

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Región

Comparación de regiones

Moneda

Analyst Opinion

The E-Scooter-sharing market in Malaysia has been experiencing significant growth in recent years.

Customer preferences: Customers in Malaysia have shown a strong preference for convenient and sustainable transportation options. E-Scooter-sharing services provide an affordable and eco-friendly alternative to traditional modes of transportation such as cars or motorcycles. The ease of renting and using e-scooters appeals to customers who value flexibility and convenience.

Trends in the market: One of the key trends in the E-Scooter-sharing market in Malaysia is the increasing number of players entering the market. Both local and international companies have recognized the potential of the market and are investing in expanding their services. This competition has led to improvements in the quality of e-scooters and the overall user experience. Another trend is the integration of e-scooter-sharing services with existing transportation infrastructure. Many cities in Malaysia are implementing bike lanes and designated parking areas for e-scooters, making it easier for users to navigate and park their rented scooters. This integration with existing infrastructure is driving the adoption of e-scooter-sharing services.

Local special circumstances: Malaysia's dense urban areas and high traffic congestion make e-scooter-sharing an attractive option for short-distance travel. The compact size of e-scooters allows users to navigate through traffic more easily and reach their destinations faster. Additionally, the relatively flat terrain in many parts of the country makes e-scooters a practical mode of transportation.

Underlying macroeconomic factors: The growing popularity of e-scooter-sharing in Malaysia can also be attributed to several underlying macroeconomic factors. The rising cost of car ownership, including fuel prices and parking fees, has made alternative transportation options more appealing. Additionally, the increasing awareness of environmental issues and the need to reduce carbon emissions has led to a shift towards more sustainable modes of transportation. In conclusion, the E-Scooter-sharing market in Malaysia is developing rapidly due to customer preferences for convenient and sustainable transportation options. The integration of e-scooter-sharing services with existing infrastructure and the increasing number of players in the market are driving this growth. The local special circumstances, such as high traffic congestion and flat terrain, further contribute to the popularity of e-scooter-sharing. Finally, underlying macroeconomic factors such as the rising cost of car ownership and growing environmental awareness also play a significant role in the development of the market.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings and revenues of e-scooter-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.