E-Scooter-sharing - BRICS

  • BRICS
  • It is predicted that the revenue in the E-Scooter-sharing market will achieve US$71.13m in 2024.
  • The expected annual growth rate (CAGR 2024-2029) of 7.09% is anticipated to result in a market volume of US$100.20m by 2029.
  • Moreover, it is expected that the number of users in this market will reach 6,454.00k users by 2029.
  • In 2024, the user penetration is projected to be 0.2%, and it is expected to increase to 0.2% by 2029.
  • The average revenue per user (ARPU) is forecasted to be US$13.24.
  • By 2029, online sales are expected to generate 100% of total revenue in the E-Scooter-sharing market.
  • In comparison to other countries, United States is expected to generate the most revenue, with US$730,200k in 2024.
  • It is worth mentioning that these calculations are made concerning the BRICS country.
  • In India, the E-Scooter-sharing market is experiencing rapid growth due to the country's large population and urbanization.

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

 
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Analyst Opinion

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

Customer preferences:
Customers in BRICS countries have shown a strong preference for alternative modes of transportation, driven by increasing concerns about traffic congestion and environmental sustainability. E-Scooter-sharing services provide a convenient and eco-friendly option for short-distance travel, making them highly appealing to urban commuters. Additionally, the affordability and flexibility of these services have made them popular among younger demographics who are more inclined to embrace new technologies.

Trends in the market:
In Brazil, the E-Scooter-sharing market has witnessed rapid expansion, particularly in major cities like São Paulo and Rio de Janeiro. The government's efforts to promote sustainable transportation and reduce traffic congestion have contributed to the growing popularity of E-Scooter-sharing services. Furthermore, the country's large population and urbanization rate have created a favorable market for these services. In Russia, the E-Scooter-sharing market has seen significant growth in recent years, with major cities like Moscow and St. Petersburg leading the way. The market has been driven by the increasing popularity of micro-mobility solutions, as well as the government's initiatives to improve urban transportation infrastructure. The harsh climate in some regions of Russia has also played a role in the adoption of E-Scooter-sharing services, as they provide a convenient mode of transportation in areas with limited public transportation options. In India, the E-Scooter-sharing market has been growing steadily, fueled by the country's rapid urbanization and increasing traffic congestion. Major cities like Delhi and Bangalore have seen a surge in demand for E-Scooter-sharing services, as they offer a convenient and cost-effective solution for short-distance travel. The government's push for clean energy and sustainable transportation has further boosted the market for E-Scooter-sharing services in India. In China, the E-Scooter-sharing market has experienced explosive growth, making it the largest market in the BRICS region. The country's large population, rapid urbanization, and government support for clean energy and sustainable transportation have created a highly favorable environment for E-Scooter-sharing services. Major cities like Beijing and Shanghai have seen a proliferation of E-Scooter-sharing companies, offering a wide range of options to consumers.

Local special circumstances:
Each BRICS country has its own unique set of circumstances that have contributed to the growth of the E-Scooter-sharing market. In Brazil, the high levels of traffic congestion and the government's focus on sustainable transportation have been key drivers. In Russia, the harsh climate and limited public transportation options in some regions have made E-Scooter-sharing services particularly attractive. In India, the rapid urbanization and increasing traffic congestion have fueled the demand for E-Scooter-sharing services. In China, the large population, rapid urbanization, and government support for clean energy have created a highly conducive market for E-Scooter-sharing services.

Underlying macroeconomic factors:
The growth of the E-Scooter-sharing market in BRICS countries can also be attributed to underlying macroeconomic factors. These include rising disposable incomes, urbanization, and technological advancements. As more people in BRICS countries have disposable income, they are more likely to spend on convenient and eco-friendly transportation options. Urbanization has led to increased congestion in cities, making E-Scooter-sharing services an attractive alternative to traditional modes of transportation. Technological advancements have made E-Scooter-sharing services more accessible and user-friendly, further driving their adoption in BRICS countries.

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.

Overview

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