Shared Mobility - Haiti

  • Haiti
  • The Shared Mobility market industry in Haiti is projected to experience a significant growth in revenue in the coming years.
  • Specifically, the revenue in this sector is expected to reach US$457.50m by 2024, with an annual growth rate of 5.82% from 2024 to 2029, resulting in a projected market volume of US$607.20m in 2029.
  • The Ride-hailing market is anticipated to be the largest market with a projected market volume of US$147.00m by 2024.
  • It is expected that the number of users in the Public Transportation market will amount to 6.32m users by 2029.
  • The user penetration rate is expected to be 95.0% in 2024 and 95.0% by 2029.
  • The average revenue per user (ARPU) is expected to be US$39.17.
  • By 2029, 53% of the total revenue in the Shared Mobility market industry will be generated through online sales.
  • In terms of global comparison, China is projected to generate the highest revenue of US$365bn in 2024.
  • Shared mobility in Haiti is still in its infancy, with informal ride-sharing services being the most popular means of transportation.

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

 
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Analyst Opinion

The Shared Mobility market in Haiti is experiencing a gradual but steady growth, driven by various factors influencing customer preferences, market trends, local special circumstances, and underlying macroeconomic factors.

Customer preferences:
Customers in Haiti are increasingly valuing convenience, affordability, and flexibility when it comes to transportation options. Shared mobility services such as ride-hailing, bike-sharing, and scooter-sharing are becoming popular choices among urban residents who seek efficient ways to navigate the traffic-congested streets of major cities. The younger population, in particular, is more inclined towards shared mobility solutions that offer on-demand access to transportation without the hassle of owning a vehicle.

Trends in the market:
One significant trend in the Shared Mobility market in Haiti is the rise of motorcycle taxis as a preferred mode of transportation, especially in areas where traditional public transportation is limited. Motorcycle taxi-hailing services are gaining traction due to their ability to navigate through narrow roads and provide quick point-to-point transportation. Additionally, electric scooters are emerging as a sustainable and eco-friendly option for short-distance travel in urban areas.

Local special circumstances:
Haiti's unique geographical and infrastructural challenges play a crucial role in shaping the Shared Mobility market. The country's mountainous terrain and inadequate road infrastructure make it difficult for traditional transportation services to operate efficiently. Shared mobility providers are filling this gap by offering innovative solutions that are tailored to the local environment. Moreover, the high population density in urban centers creates a demand for alternative transportation modes that can alleviate congestion and reduce travel time.

Underlying macroeconomic factors:
The economic landscape in Haiti, characterized by a growing middle class and increasing smartphone penetration, is contributing to the expansion of the Shared Mobility market. As disposable incomes rise and access to technology improves, more consumers are embracing digital platforms to access transportation services conveniently. Furthermore, the government's efforts to regulate and support the shared mobility sector through policies and infrastructure development are creating a conducive environment for market growth.

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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