Shared Mobility - Nepal

  • Nepal
  • By 2024, the revenue in Nepal's Shared Mobility market is projected to hit US$324.60m.
  • According to market projections, the revenue is expected to grow annually at a rate of 6.56% (CAGR 2024-2029), achieving a projected market volume of US$446.00m by 2029.
  • The largest market within the market is Flights, which is expected to reach a market volume of US$129.90m by 2024.
  • The number of users in the Public Transportation market is projected to amount to 8.44m users by 2029.
  • User penetration, which is currently at 23.4%, is expected to rise to 28.6% by 2029.
  • The average revenue per user (ARPU) in Nepal's Shared Mobility market is expected to be US$44.43.
  • By 2029, online sales are likely to account for 62% of the total revenue generated in the sector.
  • When compared globally, it is projected that China will generate the highest revenue of US$365bn by 2024.
  • Shared Mobility is on the rise in Nepal, with the government promoting electric vehicles and ride-sharing services to reduce traffic congestion and air pollution in Kathmandu.

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

 
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Analyst Opinion

The Shared Mobility market in Nepal is experiencing significant growth and evolution, reflecting the global trend towards more sustainable and convenient transportation options.

Customer preferences:
Customers in Nepal are increasingly looking for cost-effective and efficient transportation solutions, which has led to a rise in the popularity of shared mobility services. The convenience of being able to book a ride quickly through mobile apps and the affordability compared to traditional taxi services are key factors driving customer preferences in the market.

Trends in the market:
One notable trend in the Shared Mobility market in Nepal is the increasing diversification of services offered. In addition to ride-hailing services, bike-sharing and electric scooter rentals are becoming more common, catering to different customer needs and preferences. This trend aligns with the global shift towards multi-modal transportation options in urban areas.

Local special circumstances:
Nepal's unique geography and infrastructure challenges play a significant role in shaping the Shared Mobility market in the country. The presence of hilly terrain and inadequate road infrastructure in certain areas can impact the availability and efficiency of shared mobility services. As a result, companies operating in Nepal need to adapt their services to navigate these local challenges effectively.

Underlying macroeconomic factors:
The growing middle-class population and increasing urbanization in Nepal are contributing to the expansion of the Shared Mobility market. As more people move to urban centers and disposable incomes rise, there is a greater demand for convenient and affordable transportation options. Additionally, government initiatives to promote sustainable transport solutions and reduce traffic congestion are further fueling the growth of shared mobility services 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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