Market Insights eCommerce Online Food Delivery Grocery Delivery

Retail Delivery - Turkmenistan

Turkmenistan

The Reail Delivery market in Turkmenistan is poised for impressive growth, with revenue projected to reach US$1.85m by 2024.
This is expected to be driven by an annual growth rate (CAGR 2024-2029) of 13.99%, resulting in a projected market volume of US$3.56m by 2029.
In terms of user base, the number of users is forecasted to reach 823.0k users by 2029.
The user penetration rate, which measures the percentage of the population using Reail Delivery market services, is expected to be 8.2% in 2024 and is projected to increase to 11.8% by 2029.
In terms of average revenue per user (ARPU), each user is expected to contribute approximately US$3.41 to the Reail Delivery market in Turkmenistan.
In a global context, it is worth noting that United States is expected to generate the most revenue in the Reail Delivery market, with an estimated revenue of US$195,400.00m in 2024.
On the other hand, United States is projected to have the highest user penetration rate in the Reail Delivery market, with a rate of 30.4%.
Turkmenistan's retail delivery market is experiencing a surge in online shopping platforms, driven by increasing internet penetration and consumer demand for convenience.

Market

Region

Region comparison

Currency

Analyst Opinion

Turkmenistan, a country in Central Asia, has been experiencing a steady growth in its retail delivery market.

Customer preferences: Turkmenistan has a young population, with a majority of its citizens below the age of 30. This demographic is tech-savvy and prefers to shop online. Additionally, the country has a large expatriate population, who often rely on online shopping to purchase goods from their home countries.

Trends in the market: The retail delivery market in Turkmenistan is still in its nascent stage, with a few players dominating the market. However, there has been a significant increase in the number of online retailers and delivery services in recent years. This growth can be attributed to the increasing popularity of online shopping and the ease of doing business in the country.

Local special circumstances: Turkmenistan has a unique business environment, with a highly centralized economy and strict regulations governing foreign investment. This has led to a limited number of foreign players in the market, with most of the market dominated by local players. Additionally, the country's infrastructure is still developing, which poses challenges for delivery services.

Underlying macroeconomic factors: Turkmenistan's economy is heavily reliant on its natural gas reserves, which account for a significant portion of its GDP. However, the country has been diversifying its economy in recent years, with a focus on the retail and service sectors. This has led to an increase in consumer spending and a growing demand for retail delivery services. Additionally, the government has been investing in improving the country's infrastructure, which is expected to boost the retail delivery market in the coming years.

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.