Key regions: Germany, Europe, India, Indonesia, United States
The Moped-sharing market in MENA has been experiencing significant growth in recent years, driven by changing customer preferences and local special circumstances.
Customer preferences: Customers in the MENA region are increasingly looking for convenient and affordable transportation options. Moped-sharing services provide an attractive alternative to traditional modes of transportation, such as cars or taxis, as they offer a cost-effective and flexible solution for short-distance travel. The convenience of being able to pick up and drop off a moped at various locations within the city is particularly appealing to customers who value convenience and flexibility in their daily commute.
Trends in the market: One of the key trends in the Moped-sharing market in MENA is the increasing adoption of electric mopeds. Electric mopeds offer several advantages over traditional gasoline-powered mopeds, including lower operating costs and reduced environmental impact. As countries in the MENA region are increasingly focusing on sustainability and reducing carbon emissions, the demand for electric mopeds is expected to continue to grow. Another trend in the market is the expansion of moped-sharing services in smaller cities and towns. While initially concentrated in major urban centers, moped-sharing companies are now expanding their operations to smaller cities and towns in the MENA region. This expansion is driven by the growing demand for affordable and convenient transportation options in these areas, where public transportation infrastructure may be limited.
Local special circumstances: The MENA region has unique characteristics that make it particularly suitable for the development of the Moped-sharing market. The region has a relatively young population, with a high percentage of tech-savvy millennials who are open to trying new mobility solutions. Additionally, the high population density in many cities in the MENA region creates a strong demand for efficient and convenient transportation options.
Underlying macroeconomic factors: Several macroeconomic factors are contributing to the growth of the Moped-sharing market in MENA. The region has been experiencing rapid urbanization, with more people moving to cities in search of better economic opportunities. This urbanization trend has increased the demand for transportation services, creating a favorable market for moped-sharing companies. Furthermore, the rise of the sharing economy and the increasing popularity of ride-sharing services have created a favorable environment for the growth of moped-sharing in the MENA region. Customers are becoming more comfortable with the idea of sharing resources and are increasingly looking for cost-effective and sustainable transportation options. In conclusion, the Moped-sharing market in MENA is experiencing significant growth due to changing customer preferences, local special circumstances, and underlying macroeconomic factors. The increasing adoption of electric mopeds and the expansion of services to smaller cities and towns are key trends driving the market's development. With a young and tech-savvy population, along with rapid urbanization and the rise of the sharing economy, the MENA region presents a promising market for moped-sharing companies.
Data coverage:
The data encompasses B2C enterprises. Figures are based on bookings and revenues of moped-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.
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