Meal Delivery - Turkmenistan

  • Turkmenistan
  • The revenue forecast for the Meal Delivery market in Turkmenistan is projected to reach US$975.50k in 2024.
  • This projection indicates an expected annual growth rate (CAGR 2024-2029) of 7.32%, resulting in a projected market volume of US$1,389.00k by 2029.
  • In Turkmenistan, the Platform Deliverymarket is expected to have a market volume of US$528.80k in 2024.
  • When compared globally, China is projected to generate the highest revenue, with US$184,500.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market in Turkmenistan is projected to amount to US$13.25 in 2024.
  • Additionally, the number of users in the Meal Delivery market is expected to reach 96.7k users by 2029.
  • Furthermore, the user penetration rate in the Meal Delivery market in Turkmenistan is estimated to be at 1.1% in 2024.
  • Turkmenistan's meal delivery market is experiencing a surge in demand due to the convenience and time-saving benefits it offers to busy individuals in the country.
 
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Analyst Opinion

Turkmenistan, a country located in Central Asia, is known for its rich history and culture. With a population of over 6 million people, the country has seen a rise in the meal delivery market in recent years.

Customer preferences:
Turkmenistan has a diverse population, with a mix of traditional and modern preferences. The younger generation, in particular, has shown a growing interest in meal delivery services due to their busy lifestyles. Convenience and speed are important factors for customers when choosing a meal delivery service. Additionally, customers prefer healthy and fresh food options.

Trends in the market:
The meal delivery market in Turkmenistan has seen significant growth in recent years. This growth can be attributed to the rise of technology and the increasing demand for convenience. Many meal delivery services in Turkmenistan offer online ordering and delivery tracking, making it easier for customers to order and receive their meals. The COVID-19 pandemic has also played a role in the growth of the meal delivery market, as more people are staying at home and relying on delivery services for their meals.

Local special circumstances:
Turkmenistan's economy is heavily reliant on the oil and gas industry, and the country has seen significant economic growth in recent years. However, the country is also facing challenges such as high unemployment rates and a lack of diversity in the economy. As a result, many entrepreneurs are turning to the meal delivery market as a way to start their own businesses and contribute to the economy.

Underlying macroeconomic factors:
Turkmenistan's economic growth has led to an increase in disposable income, which has allowed more people to afford meal delivery services. Additionally, the country's growing population and urbanization have created a greater demand for convenience and fast food options. However, the country's political climate and lack of transparency can make it difficult for foreign investors to enter the market, limiting the growth potential of the meal delivery market.

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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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