India, known for its diverse cuisine and rich flavors, has witnessed a significant shift in the food industry in recent years. From street food vendors to fine dining restaurants, the country has a plethora of options to offer to its food-loving population. The emergence of the restaurant delivery market has added another dimension to the food industry, allowing customers to enjoy their favorite dishes in the comfort of their homes.
Customer preferences: The restaurant delivery market in India has witnessed a surge in demand, primarily driven by the convenience it offers to customers. With the increase in the number of working professionals, the demand for food delivery has increased significantly. Customers prefer to order food online due to the ease of access, availability of a wide range of cuisines, and attractive discounts offered by various food delivery apps. Moreover, the ongoing pandemic has further accelerated the growth of the restaurant delivery market, as customers prefer to avoid dining out and opt for home delivery instead.
Trends in the market: The restaurant delivery market in India is witnessing a shift towards healthier food options. With the rise in health consciousness among customers, there has been a significant increase in demand for organic, vegan, and gluten-free food options. Moreover, there has been a surge in demand for regional and local cuisine, as customers look for authentic and traditional flavors.
Local special circumstances: India is a diverse country with a rich culinary heritage. Each region has its unique cuisine, which has contributed to the growth of the restaurant delivery market. The emergence of cloud kitchens and virtual restaurants has allowed chefs to experiment with regional and local cuisine, which has further attracted customers. Moreover, the rise in disposable income and changing lifestyles has led to an increase in the demand for premium dining experiences, which has further fueled the growth of the restaurant delivery market.
Underlying macroeconomic factors: The restaurant delivery market in India is expected to witness significant growth in the coming years, primarily driven by the increase in the number of working professionals, rise in disposable income, and the emergence of cloud kitchens and virtual restaurants. Moreover, the ongoing pandemic has further accelerated the growth of the market, as customers prefer to order food online due to safety concerns. However, the market is highly competitive, with several players vying for market share. To stay ahead in the game, players need to focus on providing quality food, efficient delivery, and attractive discounts to customers.
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.
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