Market Insights Digital Online Food Delivery Meal Delivery

Platform Delivery - Lithuania

Lithuania

The Platform Delivery market in Lithuania is projected to reach a revenue of US$31.63m in 2024.
This market is expected to show an annual growth rate (CAGR 2024-2028) of 7.31%, resulting in a projected market volume of US$41.94m by 2028.
In Lithuania, the number of users in the Platform Delivery market is expected to amount to 678.5k users by 2028.
The user penetration rate is projected to be 21.5% in 2024 and is expected to increase to 26.9% by 2028.
The average revenue per user (ARPU) in Lithuania is expected to be US$56.39.
When comparing globally, in China is expected to generate the most revenue in the Platform Delivery market, reaching US$165,200.00m in 2024.
Furthermore, in China has the highest projected user penetration rate in the Platform Delivery market, with a rate of 51.2%.
Lithuania is experiencing a surge in platform delivery services, driven by increasing demand for convenient and efficient online shopping experiences.

Key regions: United States, South Korea, China, Asia, India

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Currency

Analyst Opinion

The Platform Delivery business model had problems gaining track in the early days around 2012 to 2015. It involves more operating risk with high costs for the delivery and supply logistic and it requires enough population density to be profitable. Today, the market is almost bigger than Restaurant Delivery. This is due to the wide expanse of international players like Uber Eats, using their already existing ride-hailing infrastructure and because of the strong focus of Asian markets on this model. The new models have already taken their share from the existing online marketplaces and created a new premium market segment that will continue to drive growth.

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.