Cruises - France

  • France
  • in France, a country with a rich maritime history and culture, is expected to contribute significantly to the revenue of the Cruises market.
  • It is projected that the revenue in this market will reach US$659.00m in 2024, with an annual growth rate of 2.94% from 2024 to 2029.
  • This growth is expected to result in a projected market volume of US$761.90m by 2029.
  • By this time, the number of users is expected to amount to 711.00k users, with a user penetration rate of 1.09%, up from 0.90% in 2024.
  • The average revenue per user (ARPU) is expected to be US$1.12k.
  • It is worth noting that online sales are expected to contribute 26% of total revenue in the Cruises market by 2029.
  • Furthermore, in global comparison, United States is projected to generate the most revenue in this market, with US$24,700m in 2024.
  • France's cruise market is seeing a rise in river cruises along the Seine, Rhone, and Garonne, as well as luxury ocean cruises departing from French ports.

Key regions: Indonesia, Singapore, United States, India, Vietnam

 
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Analyst Opinion

The Cruises market in France has been experiencing significant growth and development in recent years.

Customer preferences:
French customers are increasingly seeking unique and experiential travel opportunities, which has led to a rise in demand for cruise vacations. The convenience of an all-inclusive travel experience combined with the ability to visit multiple destinations in a single trip appeals to many French travelers.

Trends in the market:
One notable trend in the Cruises market in France is the increasing popularity of river cruises. French tourists are drawn to the opportunity to explore picturesque waterways and charming towns along the rivers of Europe. This trend reflects a broader shift towards more immersive and culturally enriching travel experiences among consumers.

Local special circumstances:
France's strategic location along the Mediterranean and Atlantic coastlines positions it as a key hub for cruise departures and arrivals. The country's well-developed infrastructure and world-renowned ports make it an attractive destination for cruise lines looking to expand their offerings in Europe. Additionally, France's rich history, culture, and culinary traditions make it a compelling destination for cruise passengers seeking a diverse and dynamic travel experience.

Underlying macroeconomic factors:
The growth of the Cruises market in France can also be attributed to favorable macroeconomic conditions, including rising disposable incomes and a strong tourism industry. As the economy continues to recover and consumer confidence remains high, more French travelers are choosing to invest in premium travel experiences such as cruises. Additionally, the increasing availability of cruise options at varying price points has made this form of travel more accessible to a wider range of consumers.

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
  • Key Players
  • Sales Channels
  • Analyst Opinion
  • Users
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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