Restaurant Delivery - Nepal

Nepal

Highlights

In 2024, the projected revenue in the Restaurant Delivery market in Nepal is expected to reach US$2.09m.
The market is expected to show an annual growth rate (CAGR 2024-2029) of 5.67%, resulting in a projected market volume of US$2.76m by 2029.
Additionally, the number of users in the Restaurant Delivery market is projected to amount to 300.6k users by 2029.
The user penetration, which is the percentage of the population using the service, is expected to be 0.8% in 2024 and is projected to increase to 0.9% by 2029.
The average revenue per user (ARPU) is expected to be US$8.63.
In global comparison, United States is expected to generate the highest revenue in the Restaurant Delivery market, with an estimated amount of US$36.95bn in 2024.
On the other hand, South Korea is projected to have the highest user penetration rate in the market, with a rate of 44.8%.
Nepal's restaurant delivery market is experiencing a surge in demand due to the increasing popularity of online food ordering platforms.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The restaurant delivery market in Nepal has seen significant growth in recent years, driven by changing consumer preferences and advancements in technology.

Customer preferences: Nepalese consumers are increasingly opting for convenience, leading to a rise in demand for food delivery services. This trend is particularly prevalent among younger demographics who are more likely to prioritize convenience over traditional dining experiences. Additionally, the COVID-19 pandemic has accelerated this trend as consumers are hesitant to dine out and prefer the safety and convenience of home delivery.

Trends in the market: The restaurant delivery market in Nepal is becoming more competitive, with both domestic and international players entering the market. This has led to increased innovation and improved services, including faster delivery times and a wider variety of cuisines. Additionally, there is a growing trend towards healthy and sustainable food options, with many delivery companies offering plant-based and organic options.

Local special circumstances: Nepal's geography and infrastructure present unique challenges for the restaurant delivery market. The country's mountainous terrain and limited road infrastructure can make it difficult for delivery companies to reach certain areas. Additionally, the country's limited internet connectivity can hinder the adoption of online ordering and payment systems.

Underlying macroeconomic factors: Nepal's economy has been growing steadily in recent years, with a growing middle class and increasing disposable income. This has led to increased spending on dining and entertainment, including food delivery services. Additionally, advancements in technology and the increasing availability of smartphones have made it easier for consumers to order food online. However, challenges such as limited internet connectivity and infrastructure development remain barriers to further growth in the market.

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.