Shared Mobility - New Zealand

  • New Zealand
  • New Zealand is projected to generate a revenue of US$2,792.00m in the Shared Mobility market by 2024.
  • The revenue is also expected to show an annual growth rate (CAGR 2024-2029) of 3.03%, which will result in a projected market volume of US$3,241.00m by 2029.
  • The largest market in New Zealand's Shared Mobility market is Flights, with a projected market volume of US$1,537.00m by 2024.
  • By 2029, the number of Flights users is expected to reach 2.47m users.
  • The user penetration is 86.9% in 2024, and it is expected to hit 95.0% by 2029.
  • The average revenue per user (ARPU) is projected to be US$609.40.
  • In the Shared Mobility market in New Zealand, 79% of the total revenue will be generated through online sales by 2029.
  • In global comparison, China is expected to generate the most revenue in the Shared Mobility market, with US$365bn in 2024.
  • New Zealand's Shared Mobility market is flourishing with the rise of electric scooters and bike-sharing services in urban areas.

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

 
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Analyst Opinion

The Shared Mobility market in New Zealand has been experiencing significant growth in recent years.

Customer preferences:
Customers in New Zealand are increasingly valuing convenience and sustainability, which has been driving the demand for shared mobility services. The preference for cost-effective and efficient transportation options has led to a rise in the popularity of ride-hailing, bike-sharing, and car-sharing services among consumers.

Trends in the market:
One of the key trends in the Shared Mobility market in New Zealand is the integration of technology to enhance user experience. Companies are investing in mobile applications and digital platforms to streamline booking processes and improve accessibility. Additionally, there is a growing trend towards electric vehicles in shared mobility services, aligning with the country's focus on reducing carbon emissions.

Local special circumstances:
New Zealand's unique geography, with its scattered population centers and limited public transportation infrastructure in certain regions, has created opportunities for shared mobility providers to fill the gaps in the market. The country's tourism industry also plays a significant role in driving the demand for flexible transportation options, especially in popular tourist destinations.

Underlying macroeconomic factors:
The growing urbanization and changing demographics in New Zealand have contributed to the expansion of the Shared Mobility market. As more people move to urban areas and seek alternative transportation solutions, shared mobility services have become a viable and attractive option. Additionally, the government's initiatives to promote sustainable transportation and reduce traffic congestion have further supported the growth of the shared mobility sector 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
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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