Restaurant Delivery - Guatemala

Guatemala

Highlights

The Restaurant Delivery market in Guatemala is projected to reach a revenue of US$20.17m in 2024.
This market is expected to show an annual growth rate (CAGR 2024-2029) of 4.96%, resulting in a projected market volume of US$25.70m by 2029.
By 2029, the number of users in the Restaurant Delivery market is expected to amount to 939.1k users.
The user penetration is projected to be 4.2% in 2024 and is expected to increase to 4.8% by 2029.
The average revenue per user (ARPU) is expected to be US$26.20.
In global comparison, United States is expected to generate the highest revenue in the Restaurant Delivery market, reaching US$36.95bn in 2024.
On the other hand, South Korea is projected to have the highest user penetration rate of 44.8% in the Restaurant Delivery market.
"Guatemala's restaurant delivery market is experiencing a surge in demand as more consumers seek convenient and contactless dining options."

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Guatemala, a country known for its rich and diverse culture, is also experiencing a growing trend in the restaurant delivery market.

Customer preferences: Guatemalans are increasingly turning to restaurant delivery services due to the convenience it offers. With busy work schedules and the rise of online platforms, customers are finding it easier to order food online and have it delivered to their doorstep. Additionally, the COVID-19 pandemic has accelerated the growth of the restaurant delivery market as more people are staying at home and avoiding crowded places.

Trends in the market: The restaurant delivery market in Guatemala is becoming increasingly competitive with the entry of new players in the market. Online platforms are expanding their reach and offering a wider range of restaurants to choose from. Moreover, there is a trend towards healthier food options as customers are becoming more health-conscious. Restaurants are also innovating and offering unique menu items to stand out in the competitive market.

Local special circumstances: Guatemala has a unique cuisine that is a blend of Spanish, Mayan, and other indigenous cultures. This has led to the emergence of local restaurants that offer traditional Guatemalan dishes. These restaurants are popular among locals and tourists alike. Additionally, Guatemalans have a strong sense of community and often prefer to support local businesses, which has led to the growth of small, independent restaurants.

Underlying macroeconomic factors: Guatemala has a growing middle class with increasing disposable income. This has led to a rise in consumer spending, including on food and dining experiences. Moreover, the country has a young population with a high percentage of millennials who are tech-savvy and prefer the convenience of online platforms. The government has also implemented policies to encourage entrepreneurship and foreign investment, which has led to the growth of the restaurant industry.

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.