Platform Delivery - Nepal

Nepal

Highlights

The Platform Delivery market in Nepal is projected to reach a revenue of US$2.03m in 2024.
This is expected to show an annual growth rate (CAGR 2024-2029) of 10.56%, resulting in a projected market volume of US$3.36m by 2029.
Additionally, the number of users in the Platform Delivery market in Nepal is expected to amount to 367.4k users by 2029.
The user penetration rate, which is currently at 0.7% in 2024, is expected to increase to 1.1% by 2029.
The average revenue per user (ARPU) is projected to be US$9.17.
In global comparison, China is anticipated to generate the highest revenue in the Platform Delivery market, reaching US$166.80bn in 2024.
Furthermore, China is expected to have the highest user penetration rate in the market, with a projected rate of 52.8%.
Nepal's platform delivery market is experiencing a surge in demand due to the country's challenging geographical terrain and increasing preference for online shopping.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The popularity of Platform Delivery services in Nepal has been growing steadily in recent years.

Customer preferences: Nepal has a young and tech-savvy population that is increasingly using smartphones and the internet for their daily needs. This has led to a surge in demand for online food ordering and delivery services. Customers in Nepal prefer Platform Delivery services that offer a wide range of restaurants and cuisines to choose from, as well as fast and reliable delivery.

Trends in the market: The Platform Delivery market in Nepal has seen the entry of several international players in recent years, which has intensified competition and led to increased innovation in the sector. One of the key trends in the market is the use of technology to improve the customer experience, such as real-time tracking of orders and the use of AI to suggest personalized recommendations. Another trend is the expansion of services beyond food delivery, with some Platform Delivery companies now offering grocery delivery and other on-demand services.

Local special circumstances: Nepal is a small country with a challenging terrain, which can make logistics and delivery difficult. However, Platform Delivery companies have been able to overcome these challenges by partnering with local restaurants and using motorbikes for delivery in congested areas. The COVID-19 pandemic has also had a significant impact on the market, with many customers turning to Platform Delivery services as a safer and more convenient way to order food.

Underlying macroeconomic factors: Nepal is a developing country with a growing middle class and a relatively low level of internet penetration. However, the government has made efforts to improve internet connectivity and promote digital entrepreneurship, which has helped to create a favorable environment for Platform Delivery companies. The country's tourism industry is also a significant driver of demand for Platform Delivery services, as many visitors to Nepal are looking for convenient and reliable ways to order food.

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.