Cruises - Singapore

  • Singapore
  • By 2024, Singapore's Cruises market is expected to generate revenue of US$336.90m.
  • The projected market volume is expected to reach US$415.80m by 2028, showing an annual growth rate (CAGR 2024-2028) of 5.40%.
  • In terms of user penetration, it is expected to increase from 6.65% in 2024 to 7.82% by 2028, with an expected number of users amounting to 484.50k users by 2028.
  • The average revenue per user (ARPU) is anticipated to be US$0.84k.
  • Furthermore, it is expected that 8% of the total revenue in the Cruises market will come from online sales by 2028.
  • It is noteworthy to mention that United States is projected to generate the most revenue in the global comparison, with an estimated revenue of US$15,160m in 2024.
  • Singapore, with its world-class port facilities, is becoming a popular embarkation point for luxury cruise lines in Asia.

Key regions: Germany, Singapore, Indonesia, India, Vietnam

 
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Analyst Opinion

The Cruises market in Singapore has been experiencing a surge in popularity in recent years, attracting both local residents and tourists alike.

Customer preferences:
Customers in Singapore are increasingly drawn to the convenience and luxury that cruises offer. With busy lifestyles, many Singaporeans appreciate the all-inclusive nature of cruise vacations, where accommodation, dining, and entertainment are all taken care of in one package. Additionally, the variety of destinations and activities available on cruises appeal to travelers of all ages and interests.

Trends in the market:
One notable trend in the Singaporean Cruises market is the growing demand for themed and specialty cruises. From wellness and fitness cruises to culinary and music-themed voyages, cruise lines are catering to niche interests to attract a diverse range of customers. This trend reflects a broader global shift towards personalized and unique travel experiences.

Local special circumstances:
Singapore's strategic location in Southeast Asia has positioned it as a key cruise hub in the region. The country's modern cruise terminals and efficient infrastructure make it an attractive starting point for both regional and international cruise itineraries. Additionally, the government's efforts to promote tourism and develop the cruise industry have further boosted Singapore's appeal as a cruise destination.

Underlying macroeconomic factors:
The steady economic growth and rising disposable incomes in Singapore have contributed to the increasing demand for cruises. As more Singaporeans have the financial means to afford luxury travel experiences, the cruise market has seen a corresponding uptick in bookings. Furthermore, the government's initiatives to promote tourism and develop the cruise industry have created a favorable environment for market growth.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of cruises.

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, the Global Consumer Survey, third-party studies and reports, data from industry associations (e.g., UNWTO), and price data of major players in respective markets. 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 country-related GDP, demographic data (e.g., population), tourism spending, consumer spending, internet penetration, and device penetration. 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, and exponential trend smoothing methods are applied. A k-means cluster analysis allows for the estimation of similar countries. The main drivers are tourism GDP per capita and respective price indices.

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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