Meal Delivery - Israel

  • Israel
  • The Meal Delivery market in Israel is expected to generate a revenue of US$238.80m in 2024.
  • With an annual growth rate (CAGR 2024-2028) of 5.33%, the market volume is projected to reach US$293.90m by 2028.
  • In the Restaurant Deliverymarket, the projected market volume in Israel is US$175.50m in 2024.
  • When compared globally, in China is anticipated to generate the highest revenue of US$182,900.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market in Israel is projected to be US$94.82 in 2024.
  • Furthermore, the number of users in the Meal Delivery market is expected to reach 3.0m users by 2028.
  • The user penetration rate in the Meal Delivery market in Israel is forecasted to be 27.4% in 2024.
  • Israel's meal delivery market is thriving, with a wide range of innovative and diverse options catering to the country's diverse culinary preferences.
Market
Region
Region comparison
Currency

Revenue

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Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update: Mar 2024

Source: Statista Market Insights

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Most recent update: Mar 2024

Source: Statista Market Insights

Digital

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Meal Delivery: market data & analysis - Background Meal Delivery: market data & analysis - Cover

Market Shares

in percent

2022
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Most recent update: Mar 2024

Source: Statista Market Insights

Analyst Opinion

Since Pizza Hut launched the first-ever pizza online order back in 1994, online food delivery has become a billion-dollar business. Aggregator platforms like Takeaway.com or Delivery Hero have expanded all over the world through the sale of reliable infrastructure solutions and attractive commission rates for restaurants. Platform-to-Consumer Delivery companies like Deliveroo or Uber Eats operate a more cost intensive business model, but are taking care of the whole delivery logistics. Those companies have also gained track over the last years, especially in densely populated regions. Both models will likely converge with stronger competition between in-house and third-party solutions.

Users

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Most recent update: Mar 2024

Source: Statista Market Insights

Global Comparison

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Most recent update: Mar 2024

Source: Statista Market Insights

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.

Key Market Indicators

The following Key Market Indicators give an overview of the social and economic outlook of the selected region and provide additional insights into relevant market-specific developments. These indicators, together with data from statistical offices, trade associations and companies serve as the foundation for the Statista market models.

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