Cruises - Kenya

  • Kenya
  • in Kenya, a country with a promising future in the tourism industry, can benefit from the projected growth of the Cruises market.
  • By 2024, the projected revenue for this market is expected to reach US$30.83m, and it is anticipated to grow annually at a rate of 8.92%, resulting in a projected market volume of US$47.27m by 2029.
  • The number of users in this market is expected to reach 33.75k users by 2029, with a user penetration rate of 0.04% in 2024, which is projected to increase to 0.05% by 2029.
  • The average revenue per user (ARPU) is estimated to reach US$1.51k.
  • It is expected that 21% of the total revenue in this market will be generated through online sales by 2029.
  • Comparing the global market, United States is expected to generate the most revenue in this market, with a projected revenue of US$24,700m in 2024.
  • Kenya's cruise market is growing as more tourists seek to explore the country's exotic wildlife and stunning coastline.

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

 
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Analyst Opinion

The Cruises market in Kenya has been steadily growing in recent years, attracting both domestic and international tourists looking for unique travel experiences along the country's picturesque coastline.

Customer preferences:
Travelers in Kenya are increasingly seeking experiential and adventure-filled vacations, driving the demand for cruise experiences that offer a mix of luxury, relaxation, and exploration. The desire to explore the diverse marine life, pristine beaches, and cultural heritage along the Kenyan coast is a key factor influencing customer preferences in the Cruises market.

Trends in the market:
One notable trend in the Kenyan Cruises market is the rise of small boutique cruise operators offering specialized and personalized experiences to cater to the discerning tastes of travelers. These operators focus on providing unique itineraries, immersive cultural interactions, and sustainable practices, aligning with the growing global trend towards eco-conscious travel.

Local special circumstances:
Kenya's strategic location along the Indian Ocean, with access to stunning tropical destinations such as Mombasa, Lamu, and Malindi, positions the country as a prime hub for cruise tourism in East Africa. The rich Swahili heritage, vibrant local markets, and opportunities for water sports and wildlife safaris further enhance the appeal of cruising along the Kenyan coast.

Underlying macroeconomic factors:
The growth of the Cruises market in Kenya is also supported by favorable macroeconomic factors, including government investments in infrastructure development, promotion of tourism initiatives, and increasing disposable incomes among the middle-class population. The country's stability and improving business environment contribute to the overall positive outlook for the Cruises market, attracting investments and driving further growth in the sector.

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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