Restaurant Delivery - Guyana

Guyana

Highlights

The Restaurant Delivery market in Guyana is projected to reach a revenue of US$58.96k in 2024.
It is expected to show an annual growth rate of 2.98% (CAGR 2024-2029), resulting in a projected market volume of US$68.27k by 2029.
By that year, the number of users in Guyana's Restaurant Delivery market is expected to amount to 4.8k users.
The user penetration in this market is projected to be 0.5% in 2024 and is expected to increase to 0.6% by 2029.
The average revenue per user (ARPU) is expected to be US$14.15.
In comparison to other countries, United States is projected to generate the highest revenue in the global Restaurant Delivery market, reaching US$36.95bn in 2024.
On the other hand, South Korea is expected to have the highest user penetration rate in the Restaurant Delivery market, with a projected rate of 44.8%.
The restaurant delivery market in Guyana is experiencing a surge in demand due to the convenience and time-saving benefits it offers to busy urban dwellers.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The popularity of restaurant delivery services has been on the rise globally in recent years, and Guyana is no exception.

Customer preferences: In Guyana, customers have shown a growing preference for the convenience of ordering food online and having it delivered to their doorstep. This trend is particularly popular among younger generations who are more tech-savvy and have busy lifestyles. Additionally, the COVID-19 pandemic has accelerated the adoption of food delivery services as more people opt to stay at home and avoid crowded places.

Trends in the market: The restaurant delivery market in Guyana is still in its infancy, but it has been growing steadily in recent years. Several local and international players have entered the market, offering a wide range of cuisines and delivery options. One notable trend is the rise of food delivery apps, which allow customers to browse menus, place orders, and track deliveries in real-time. This trend is expected to continue as more people embrace the convenience of mobile technology.

Local special circumstances: Guyana is a small country with a population of just over 800,000 people. This means that the restaurant delivery market is relatively small compared to other countries in the region. However, the market has significant potential for growth, driven by changing consumer preferences and the increasing availability of delivery services. Additionally, the country's unique blend of cultures and cuisines presents an opportunity for restaurants to offer diverse menu options that cater to different tastes.

Underlying macroeconomic factors: Guyana is a developing country with a growing economy, driven by its natural resources such as oil, gold, and timber. This has led to an increase in disposable income and consumer spending, which has contributed to the growth of the restaurant delivery market. However, the country still faces challenges such as high poverty rates and limited infrastructure, which may impact the growth of the market in the long term. Nevertheless, the restaurant delivery market in Guyana is poised for further growth in the coming years, driven by changing consumer preferences and the increasing availability of delivery services.

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.