Online Food Delivery - Bolivia

Bolivia

The Online Food Delivery market in Bolivia is forecasted to reach a revenue of US$177.10m by 2024.
This market is expected to demonstrate a compound annual growth rate (CAGR 2024-2029) of 12.82%, resulting in a projected market volume of US$323.70m by 2029.
In the Grocery Delivery market, in Bolivia is expected to witness a revenue growth of 10.9% in 2025, with a projected market volume of US$159.10m in 2024.
When comparing in Bolivia to other countries globally, China is anticipated to generate the highest revenue in the Online Food Delivery market, with US$450.50bn in 2024.
The average revenue per user (ARPU) in the Grocery Delivery market in Bolivia is projected to reach US$122.00 in 2024.
In the Grocery Delivery market, the number of users in Bolivia is expected to reach 1.9m users by 2029.
User penetration in the Grocery Delivery market in Bolivia is estimated to be at 10.4% in 2024.
Bolivia's online food delivery market is experiencing rapid growth due to the increasing popularity of mobile payment options and the convenience of ordering from local restaurants.

Market

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Analyst Opinion

The popularity of online food delivery services has been on the rise in Bolivia in recent years.

Customer preferences: Bolivian customers are increasingly turning to online food delivery services due to their convenience and ease of use. With busy work schedules and a desire for quick and easy meal options, online food delivery services offer a practical solution for many Bolivians. Additionally, the ability to view menus and prices online before placing an order is a major draw for customers.

Trends in the market: The online food delivery market in Bolivia is experiencing significant growth, with new players entering the market and existing companies expanding their services. One trend that is emerging is the use of mobile apps for ordering food, with many customers preferring to use their smartphones to place orders. Another trend is the expansion of delivery options beyond traditional restaurants to include grocery stores and other food retailers.

Local special circumstances: Bolivia has a unique culinary culture, with a variety of regional dishes and ingredients that are not commonly found in other countries. This presents a challenge for online food delivery services, as they must cater to the specific tastes and preferences of Bolivian customers. Additionally, the country's geography and infrastructure can make it difficult to deliver food quickly and efficiently, particularly in rural areas.

Underlying macroeconomic factors: Bolivia's growing middle class and increasing urbanization are key drivers of the online food delivery market. As more Bolivians move to cities and adopt busier lifestyles, the demand for convenient food delivery services is likely to continue to grow. Additionally, the country's improving internet infrastructure and expanding mobile phone market are making it easier for customers to access and use online food delivery services.

Methodology

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.