Shared Mobility - Israel

  • Israel
  • Israel's Shared Mobility market is expected to experience significant revenue growth in the coming years.
  • By 2024, revenue is projected to reach US$4,007.00m, with an annual growth rate (CAGR 2024-2029) of 9.00%.
  • This growth is expected to result in a projected market volume of US$6,165.00m by 2029.
  • The largest market in Israel's Shared Mobility market is Flights, which is expected to reach a projected market volume of US$1,970.00m in 2024.
  • By 2029, the number of Public Transportation users is expected to amount to 5,695.00k users.
  • User penetration is expected to be 93.9% by 2029, up from 69.9% in 2024.
  • The average revenue per user (ARPU) in Israel's Shared Mobility market is expected to be US$615.50.
  • By 2029, 71% of total revenue in this market is expected to be generated through online sales.
  • In comparison to other countries, China is projected to generate the most revenue in the Shared Mobility market, with US$365bn in 2024.
  • Israel's shared mobility market is dominated by local players, such as Gett and Moovit, offering innovative solutions for urban transportation.

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

 
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Analyst Opinion

The Shared Mobility market in Israel has been experiencing significant growth and development in recent years.

Customer preferences:
Customers in Israel are increasingly valuing convenience and cost-effectiveness when it comes to transportation options. Shared mobility services such as ride-hailing, car-sharing, and bike-sharing are becoming popular choices among urban dwellers who seek efficient and affordable ways to get around the city.

Trends in the market:
One prominent trend in the Shared Mobility market in Israel is the rise of electric scooters as a preferred mode of transportation. With the growing concern for environmental sustainability and the government's push for greener initiatives, electric scooters have gained traction as a convenient and eco-friendly option for short-distance travel in urban areas. This trend aligns with the global shift towards sustainable transportation solutions.

Local special circumstances:
Israel's compact urban centers and well-developed infrastructure make it conducive for the growth of Shared Mobility services. The country's tech-savvy population and high smartphone penetration rates also contribute to the success of shared mobility platforms that rely on mobile apps for booking and payment. Additionally, the government's support for innovative transportation solutions further propels the expansion of shared mobility services in the country.

Underlying macroeconomic factors:
The Shared Mobility market in Israel is also influenced by macroeconomic factors such as the increasing urbanization rate and changing consumer behaviors. As more people move to urban areas for work and lifestyle preferences, the demand for convenient and flexible transportation options rises. Moreover, the younger generation's preference for access over ownership and the sharing economy's growing popularity play a significant role in shaping the Shared Mobility market in Israel.

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
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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