Meal Delivery - Seychelles | Statista Market Forecast

The Meal Delivery market in Seychelles is projected to reach a revenue of US$133.10k in 2024.
It is expected to exhibit an annual growth rate (CAGR 2024-2029) of 8.97%, resulting in a market volume of US$204.50k by 2029.
In the same year, the Platform Deliverymarket is anticipated to have a market volume of US$104.60k.
When compared globally, China is expected to generate the highest revenue in the Meal Delivery market, amounting to US$184.50bn in 2024.
The average revenue per user (ARPU) in the Meal Delivery market in Seychelles is projected to be US$31.41 in 2024.
Furthermore, the number of users in the Seychelles Meal Delivery market is expected to reach 5.9k users by 2029.
Lastly, the user penetration in the Seychelles Meal Delivery market is estimated to be at 3.9% in 2024.
Seychelles' meal delivery market is experiencing a surge in demand due to the country's growing tourist industry.

Definition:

Meal Delivery is the online ordering and delivery of prepared meals by a restaurant or a platform for direct consumption. Orders are typically placed in an app or on a website. The delivery is handled by the platform enterprise (e.g. Deliveroo) or directly by the restaurant (e.g. Domino’s).

Structure:

Meal Delivery contains the user and revenue development of two different delivery service solutions for prepared meals: (1) Restaurant Delivery and (2) Platform Delivery. The Restaurant Delivery market includes the delivery of meals carried out directly by the restaurants. The order may be made via platforms (e.g. Delivery Hero, Just Eat) or directly through a restaurant website (e.g. Domino's). The Platform Delivery market focuses on online delivery services that provide customers with meals from partner restaurants that do not necessarily have to offer food delivery themselves. In this case, the platform (e.g. Deliveroo) handles the delivery process.).

Additional Information:

Revenue includes the gross merchandise value (GMV), defined as the total sales dollar value for merchandise/food sold through the Online Food Delivery marketplace. User and revenue figures represent B2C services.

Meals ordered online which are directly delivered by the restaurant, no matter if ordered via a platform (e.g. Delivery Hero) or a restaurant website (e.g. Domino's)
Online meal order and delivery both carried out by a platform (e.g. Deliveroo)
Online orders that are picked up in the restaurant

Phone orders
Deliveries of non-processed or non-prepared food (e.g. HelloFresh)

The Meal Delivery market in Seychelles has been developing at a steady pace in recent years, driven by changing customer preferences and specific local circumstances.

Customer preferences: As in many other countries, the rise of the Meal Delivery market in Seychelles can be attributed to busy lifestyles and a growing demand for convenience. Customers are increasingly looking for healthy and affordable meal options that can be delivered directly to their doorstep. In addition, the COVID-19 pandemic has accelerated the trend towards online ordering and delivery, as more people are choosing to avoid crowded public spaces.

Trends in the market: The Meal Delivery market in Seychelles is still relatively small compared to other countries, but it is growing rapidly. One of the key trends in the market is the increasing popularity of healthy and sustainable meal options, such as vegan and gluten-free dishes. Many Meal Delivery companies are now offering these options to cater to the changing preferences of their customers. Another trend is the rise of local and regional cuisine, as more customers are looking for authentic and unique food experiences.

Local special circumstances: Seychelles is a small island nation with a population of less than 100,000 people. This presents some unique challenges and opportunities for the Meal Delivery market. On the one hand, the small size of the market means that there is limited competition and a relatively small customer base. On the other hand, the country's tourism industry presents a significant opportunity for Meal Delivery companies to cater to the needs of visitors who are looking for convenient and affordable meal options.

Underlying macroeconomic factors: The Seychelles economy has been growing steadily in recent years, driven by the tourism and service sectors. This has created a growing middle class with increasing disposable income, which is driving demand for Meal Delivery services. At the same time, the government is investing in infrastructure and technology to support the growth of the digital economy, which is creating new opportunities for Meal Delivery companies to reach customers online.

Data coverage:

The data encompasses B2C enterprises. Figures are based on Gross Merchandise Value (GMV) and represent what consumers pay for these products and services. The user metrics show the number of customers who have made at least one online purchase within the past 12 months.

Modeling approach / Market size:

Market sizes are determined through a bottom-up approach, building on predefined factors for each market. As a basis for evaluating markets, we use annual financial reports of the market-leading companies, third-party studies and reports, as well as survey results from our primary research (e.g., the Statista Global Consumer Survey). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, GDP per capita, and internet connection speed. 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, the S-curve function and exponential trend smoothing. The main drivers are internet users, urban population, usage of key players, and attitudes toward online services.

Additional notes:

The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. GCS data is reweighted for representativeness.

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