According to a survey by LocalCircles in May 2020, around 65 percent of respondents did not want to order restaurant food for delivery within 30 days after the coronavirus (COVID-19) lockdown got lifted. In contrast, about three percent said they would order more than four times within this period.

Consumer sentiment after the 2020 lockdown The Indian government imposed a nationwide lockdown from March 25 to May 31, 2020. Similar to other countries, India’s economy was hit hard by the measures with some industries such as tourism, hospitality, and aviation nearly coming to a standstill. Consumer sentiment dipped from 106 in February to 44 in May 2020 in rural areas. In urban areas, this dropped from 104 to 37 during the same time period. In terms of job security, the perception remained stable, whereas the confidence in the future financial situation decreased significantly during the lockdown.

The food delivery industry: winner or loser of the crisis?
Food delivery expected to boom during the lockdown period when eating out was restricted. However, a survey by Rakuten in June 2020 showed that many Indians ordered less food and, instead, worked on their home cooking skills. Newspapers reported that the two major players on the delivery market, Swiggy and Zomato, had to dismiss some of their drivers or reduced the salary. After the lockdown, when people got used to their “new normal”, the food delivery market gathered pace again.

According to the survey among Chinese restaurant owners in February 2020, around **** percent of respondents said they were forced to close their dine-in and food delivery services during the COVID-19 outbreak. Only **** percent of respondents said they could run their business as usual during this period.

BackgroundCOVID-19 has harmed restaurants, but customer preferences remain unknown. This study aims to determine the needs, barriers, interests, and food choice changes in restaurants and customers before and during the COVID-19 pandemic in Tarragona Province (Spain).MethodsAn observational cross-sectional study conducted in spring 2021 collected Mediterranean offerings, food safety, and hygiene information about the pandemic through online surveys and focus group interviews with restaurateurs and customers about the changes in their needs and new barriers.ResultsFifty-one restaurateurs (44 survey, 7 focus group) and 138 customers (132 survey, 6 focus group) were included. In relation to the economic, emotional, and uncertainty restaurateurs’ barriers detected, they implemented measures to tackle it: buy less and more often, reduce restaurant staff and reduce the restaurants offer, among others. Some customers reported changes in their restaurant orders, specifically increasing their takeaway orders. The Mediterranean diet offer (AMed criteria) remained without noticeable changes in any of the criteria. After lockdown, compared to before lockdown, restaurateurs increased their takeaway offerings by 34.1% (p 

According to a survey about visiting restaurants after the coronavirus (COVID-19) lockdown relaxation in India in May 2020, about half of the respondents had the fear of catching the virus from the restaurant and also did not want to spend on eating out.

As of April 2021, all restaurant chefs surveyed in Australia reported having re-opened their establishments after the COVID-19 lockdowns. Meanwhile, ** percent of respondents in Israel said the same about their workplaces. In contrast, only ** percent of surveyed Swiss chefs claimed to be working in a fully re-opened restaurant.

The outbreak of the COVID-19 pandemic has prompted the German government and the 16 German federal states to announce a variety of public health measures in order to suppress the spread of the coronavirus. These non-pharmaceutical measures intended to curb transmission rates by increasing social distancing (i.e., diminishing interpersonal contacts) which restricts a range of individual behaviors. These measures span moderate recommendations such as physical distancing, up to the closures of shops and bans of gatherings and demonstrations. The implementation of these measures are not only a research goal for themselves but have implications for behavioral research conducted in this time (e.g., in form of potential confounder biases). Hence, longitudinal data that represent the measures can be a fruitful data source. The presented data set contains data on 14 governmental measures across the 16 German federal states. In comparison to existing datasets, the data set at hand is a fine-grained daily time series tracking the effective calendar date, introduction, extension, or phase-out of each respective measure. Based on self-regulation theory, measures were coded whether they did not restrict, partially restricted or fully restricted the respective behavioral pattern. The time frame comprises March 08, 2020 until May 15, 2020. The project is an open-source, ongoing project with planned continued updates in regular (approximately monthly) intervals. New variables include restrictions on travel and gastronomy. The variable trvl (travel) comprises the following categories: fully restricted (=2) reflecting a potential general ban to travel within Germany (except for sound reasons like health or business); partially restricted (=1): travels are allowed but may be restricted through prohibition of accommodation or entry ban for certain groups (e.g. people from risk areas); free (=0): no travel and accommodation restrictions in place). The variable gastr (gastronomy) comprises: fully restricted (=2): closure of restaurants or bars; partially restricted (=1): Only take-away or food delivery services are allowed; free (=0): restaurants are allowed to open without restrictions). Further, the variables msk (recommendations to wear a mask) and zoo (restrictions of zoo visits) have been adjusted.:

After the coronavirus (COVID-19) lockdown measures are lifted, the leaders of the eating and drinking out sector in the United Kingdom planned to increase hygiene and social distancing measures on the premises of their businesses. Some leaders also planned to reduce menu variety.

Context

Coronavirus infection is currently the most important health topic. It surely tested and continues to test to the fullest extent the healthcare systems around the world. Although big progress is made in handling this pandemic, a tremendous number of questions are needed to be answered. I hereby present to you the local Bulgarian COVID-19 dataset with some context. It could be used as a comparator because it stands out compared to other countries and deserves analysis.

Context for Bulgarian population: Population - 6 948 445 Median age - 44.7 years Aged >65 - 20.801 % Aged >70 - 13.272%

Summary of the results: - first pandemic wave was weak, probably because of the early state of emergency (5 days after the first confirmed case). Whether this was a good decision or it was too early and just postpone the inevitable is debatable. -healthcare system collapses (probably due to delayed measures) in the second and third waves which resulted in Bulgaria gaining the top ranks for mortality and morbidity tables worldwide and in the EU. - low percentage of vaccinated people results in a prolonged epidemic and delaying the lifting of the preventive measures.

Some of the important moments that should be considered when interpreting the data: 08.03.2020 - Bulgaria confirmed its first two cases. The government issued a nationwide ban on closed-door public events (first lockdown); 13.03.2020- after 16 reported cases in one day, Bulgaria declared a state of emergency for one month until 13.04.2020. Schools, shopping centres, cinemas, restaurants, and other places of business were closed. All sports events were suspended. Only supermarkets, food markets, pharmacies, banks, and gas stations remain open. 03.04.2020 - The National Assembly approved the government's proposal to extend the state of emergency by one month until 13.05.2020; 14.05.2020 - the national emergency was lifted, and in its place was declared a state of an emergency epidemic situation. Schools and daycares remain closed, as well as shopping centers and indoor restaurants; 18.05.2020 - Shopping malls and fitness centers opened; 01.06.2020 - Restaurants and gaming halls opened; 10.07.2020 - discos and bars are closed, the sports events are without an audience; 29.10.2020 - High school and college students are transitioning to online learning; 27.11.2020 - the whole education is online, restaurants, nightclubs, bars, and discos are closed (second lockdown 27.11 - 21.12); 05.12.2020 - the 14-day mortality rate is the highest in the world; 16.01.2021 - some of the students went back to school; 01.03.2021 - restaurants and casinos opened; 22.03.2021 - restaurants, shopping malls, fitness centers, and schools are closed (third lockdown for 10 days - 22.03 - 31.03); 19.04.2021 - children daycare facilities, fitness centers, and nightclubs are opened;

Content

This dataset consists of 447 rows with 29 columns and covers the period 08.03.2020 - 28.05.2021. In the beginning, there are some missing values until the proper statistical report was established.

Inspiration

A publication proposal is sent to anyone who wishes to collaborate. Based on the results and the value of the findings and the relevance of the topic it is expected to publish: - in a local journal (guaranteed); - in a SCOPUS journal (highly probable); - in an IF journal (if the results are really insightful).

The topics could be, but not limited to: - descriptive analysis of the pandemic outbreak in the country; - prediction of the pandemic or the vaccination rate; - discussion about the numbers compared to other countries/world; - discussion about the government decisions; - estimating cut-off values for step-down or step-up of the restrictions.

Error or query reporting

If you find an error, have a question, or wish to make a suggestion, I encourage you to reach me.

As of September 2020, around ** percent of restaurant operators in India stated that they reduced the size of their team during the lockdown caused by the coronavirus (COVID-19) pandemic. On the other hand, around ** percent said that they started a delivery outlet to cope with the situation.

Due to changes in the collection and availability of data on COVID-19, this website will no longer be updated. The webpage will no longer be available as of 11 May 2023. On-going, reliable sources of data for COVID-19 are available via the COVID-19 dashboard and the UKHSA

GLA Covid-19 Mobility Report

Since March 2020, London has seen many different levels of restrictions - including three separate lockdowns and many other tiers/levels of restrictions, as well as easing of restrictions and even measures to actively encourage people to go to work, their high streets and local restaurants. This reports gathers data from a number of sources, including google, apple, citymapper, purple wifi and opentable to assess the extent to which these levels of restrictions have translated to a reductions in Londoners' movements.

The data behind the charts below come from different sources. None of these data represent a direct measure of how well people are adhering to the lockdown rules - nor do they provide an exhaustive data set. Rather, they are measures of different aspects of mobility, which together, offer an overall impression of how people Londoners are moving around the capital. The information is broken down by use of public transport, pedestrian activity, retail and leisure, and homeworking.

Public Transport

For the transport measures, we have included data from google, Apple, CityMapper and Transport for London. They measure different aspects of public transport usage - depending on the data source. Each of the lines in the chart below represents a percentage of a pre-pandemic baseline.

https://cdn.datapress.cloud/london/img/dataset/60e5834b-68aa-48d7-a8c5-7ee4781bde05/2025-06-09T20%3A54%3A15/6b096426c4c582dc9568ed4830b4226d.webp" alt="Embedded Image" />

activity Source Latest Baseline Min value in Lockdown 1 Min value in Lockdown 2 Min value in Lockdown 3 Citymapper Citymapper mobility index 2021-09-05 Compares trips planned and trips taken within its app to a baseline of the four weeks from 6 Jan 2020 7.9% 28% 19% Google Google Mobility Report 2022-10-15 Location data shared by users of Android smartphones, compared time and duration of visits to locations to the median values on the same day of the week in the five weeks from 3 Jan 2020 20.4% 40% 27% TfL Bus Transport for London 2022-10-30 Bus journey ‘taps' on the TfL network compared to same day of the week in four weeks starting 13 Jan 2020 - 34% 24% TfL Tube Transport for London 2022-10-30 Tube journey ‘taps' on the TfL network compared to same day of the week in four weeks starting 13 Jan 2020 - 30% 21% Pedestrian activity

With the data we currently have it's harder to estimate pedestrian activity and high street busyness. A few indicators can give us information on how people are making trips out of the house:

https://cdn.datapress.cloud/london/img/dataset/60e5834b-68aa-48d7-a8c5-7ee4781bde05/2025-06-09T20%3A54%3A15/bcf082c07e4d7ff5202012f0a97abc3a.webp" alt="Embedded Image" />

activity Source Latest Baseline Min value in Lockdown 1 Min value in Lockdown 2 Min value in Lockdown 3 Walking Apple Mobility Index 2021-11-09 estimates the frequency of trips made on foot compared to baselie of 13 Jan '20 22% 47% 36% Parks Google Mobility Report 2022-10-15 Frequency of trips to parks. Changes in the weather mean this varies a lot. Compared to baseline of 5 weeks from 3 Jan '20 30% 55% 41% Retail & Rec Google Mobility Report 2022-10-15 Estimates frequency of trips to shops/leisure locations. Compared to baseline of 5 weeks from 3 Jan '20 30% 55% 41% Retail and recreation

In this section, we focus on estimated footfall to shops, restaurants, cafes, shopping centres and so on.

https://cdn.datapress.cloud/london/img/dataset/60e5834b-68aa-48d7-a8c5-7ee4781bde05/2025-06-09T20%3A54%3A16/b62d60f723eaafe64a989e4afec4c62b.webp" alt="Embedded Image" />

activity Source Latest Baseline Min value in Lockdown 1 Min value in Lockdown 2 Min value in Lockdown 3 Grocery/pharmacy Google Mobility Report 2022-10-15 Estimates frequency of trips to grovery shops and pharmacies. Compared to baseline of 5 weeks from 3 Jan '20 32% 55.00% 45.000% Retail/rec <a href="https://ww

Restaurant Takeout Market Outlook

The global restaurant takeout market size was valued at approximately USD 500 billion in 2023 and is anticipated to reach around USD 950 billion by 2032, growing at a CAGR of 7.5% during the forecast period. The significant growth factor driving the market is the increasing consumer preference for convenience and quick service, coupled with the rising proliferation of online food delivery platforms and digital payment methods.

The shift in consumer behavior towards more convenient and time-saving solutions has been a major driving force behind the growth of the restaurant takeout market. Busy lifestyles, longer working hours, and the rise of dual-income households have led to an increase in demand for ready-to-eat meals that can be consumed at home or on-the-go. Additionally, the growing prevalence of nuclear families and single-person households has further contributed to this trend. The adoption of digital technologies has revolutionized the food service industry, making it easier for consumers to order food from their favorite restaurants through various online platforms.

The COVID-19 pandemic has also played a significant role in accelerating the growth of the restaurant takeout market. With lockdowns and social distancing measures in place, dine-in options were limited, leading to a surge in takeout and delivery orders. Restaurants had to quickly adapt to this new reality by enhancing their takeout and delivery capabilities. Many establishments partnered with third-party delivery services, while others invested in their own delivery infrastructure. This shift has led to a lasting change in consumer behavior, with many people continuing to prefer takeout options even as restrictions have eased.

Technological advancements and innovation in the food service industry have also contributed to the growth of the restaurant takeout market. The development of user-friendly mobile apps and online platforms has made it easier for consumers to browse menus, place orders, and make payments. Additionally, the integration of AI and machine learning technologies has enabled personalized recommendations and improved order accuracy. The use of digital wallets and contactless payment methods has further streamlined the ordering process, providing a seamless experience for consumers.

Regionally, North America and Asia Pacific are the dominant markets for restaurant takeout, driven by high disposable incomes, urbanization, and a tech-savvy population. Europe also holds a significant share, with a growing preference for convenience foods and an increasing number of food delivery startups. In the Middle East & Africa and Latin America, the market is expected to grow steadily, supported by improving economic conditions and the rising adoption of digital technologies. The expansion of the food service industry in these regions presents numerous opportunities for market players to tap into new customer segments and enhance their market presence.

The evolution of Online Food Delivery and Takeaway services has been a game-changer in the restaurant takeout market. These platforms have not only provided consumers with the convenience of ordering food from the comfort of their homes but have also opened up new avenues for restaurants to reach a broader audience. By leveraging technology, these services offer features such as real-time tracking, personalized recommendations, and a variety of payment options, enhancing the overall customer experience. The rise of online food delivery has also encouraged restaurants to innovate their menus and offer exclusive online deals, further driving the growth of the takeout market.

Meal Type Analysis

The restaurant takeout market is segmented by meal type into breakfast, lunch, dinner, and snacks. Each of these segments caters to different consumer needs and preferences, contributing to the overall growth of the market. The breakfast segment has seen significant growth due to the increasing demand for quick and convenient breakfast options. Consumers, especially working professionals, prefer takeout breakfast items such as sandwiches, bagels, and coffee, which can be easily consumed on-the-go. The availability of a variety of healthy breakfast options has further boosted the popularity of this segment.

The lunch segment is one of the largest contributors to the restaurant takeout market. With many people working from offices or remotely

Due to changes in the collection and availability of data on COVID-19, this website will no longer be updated. The webpage will no longer be available as of 11 May 2023. On-going, reliable sources of data for COVID-19 are available via the COVID-19 dashboard and the UKHSA

GLA Covid-19 Mobility Report

Since March 2020, London has seen many different levels of restrictions - including three separate lockdowns and many other tiers/levels of restrictions, as well as easing of restrictions and even measures to actively encourage people to go to work, their high streets and local restaurants. This reports gathers data from a number of sources, including google, apple, citymapper, purple wifi and opentable to assess the extent to which these levels of restrictions have translated to a reductions in Londoners' movements.

The data behind the charts below come from different sources. None of these data represent a direct measure of how well people are adhering to the lockdown rules - nor do they provide an exhaustive data set. Rather, they are measures of different aspects of mobility, which together, offer an overall impression of how people Londoners are moving around the capital. The information is broken down by use of public transport, pedestrian activity, retail and leisure, and homeworking.

Public Transport

For the transport measures, we have included data from google, Apple, CityMapper and Transport for London. They measure different aspects of public transport usage - depending on the data source. Each of the lines in the chart below represents a percentage of a pre-pandemic baseline.

https://cdn.datapress.cloud/london/img/dataset/60e5834b-68aa-48d7-a8c5-7ee4781bde05/2025-06-09T20%3A54%3A15/6b096426c4c582dc9568ed4830b4226d.webp" alt="Embedded Image" />

activity Source Latest Baseline Min value in Lockdown 1 Min value in Lockdown 2 Min value in Lockdown 3 Citymapper Citymapper mobility index 2021-09-05 Compares trips planned and trips taken within its app to a baseline of the four weeks from 6 Jan 2020 7.9% 28% 19% Google Google Mobility Report 2022-10-15 Location data shared by users of Android smartphones, compared time and duration of visits to locations to the median values on the same day of the week in the five weeks from 3 Jan 2020 20.4% 40% 27% TfL Bus Transport for London 2022-10-30 Bus journey ‘taps' on the TfL network compared to same day of the week in four weeks starting 13 Jan 2020 - 34% 24% TfL Tube Transport for London 2022-10-30 Tube journey ‘taps' on the TfL network compared to same day of the week in four weeks starting 13 Jan 2020 - 30% 21% Pedestrian activity

With the data we currently have it's harder to estimate pedestrian activity and high street busyness. A few indicators can give us information on how people are making trips out of the house:

https://cdn.datapress.cloud/london/img/dataset/60e5834b-68aa-48d7-a8c5-7ee4781bde05/2025-06-09T20%3A54%3A15/bcf082c07e4d7ff5202012f0a97abc3a.webp" alt="Embedded Image" />

activity Source Latest Baseline Min value in Lockdown 1 Min value in Lockdown 2 Min value in Lockdown 3 Walking Apple Mobility Index 2021-11-09 estimates the frequency of trips made on foot compared to baselie of 13 Jan '20 22% 47% 36% Parks Google Mobility Report 2022-10-15 Frequency of trips to parks. Changes in the weather mean this varies a lot. Compared to baseline of 5 weeks from 3 Jan '20 30% 55% 41% Retail & Rec Google Mobility Report 2022-10-15 Estimates frequency of trips to shops/leisure locations. Compared to baseline of 5 weeks from 3 Jan '20 30% 55% 41% Retail and recreation

In this section, we focus on estimated footfall to shops, restaurants, cafes, shopping centres and so on.

https://cdn.datapress.cloud/london/img/dataset/60e5834b-68aa-48d7-a8c5-7ee4781bde05/2025-06-09T20%3A54%3A16/b62d60f723eaafe64a989e4afec4c62b.webp" alt="Embedded Image" />

activity Source Latest Baseline Min value in Lockdown 1 Min value in Lockdown 2 Min value in Lockdown 3 Grocery/pharmacy Google Mobility Report 2022-10-15 Estimates frequency of trips to grovery shops and pharmacies. Compared to baseline of 5 weeks from 3 Jan '20 32% 55.00% 45.000% Retail/rec <a href="https://ww

The quick-service restaurant market in India was estimated at about 28 billion U.S. dollars in 2025. It was forecasted to reach 44 billion dollars in 2030. Unorganized versus organized QSR sector Roadside eateries, Dhabas, and food stalls, the traditional fast food formats formed a major part of the unorganized sector. The organized fast-food sector in India was dominated by global food chains like Dominos, McDonalds, KFC and Pizza Hut. These leading chain restaurants successfully catered to the country's population and by adding customized dishes to their standard menus. Impact of COVID-19 on QSRs The food service industry was tremendously affected by the COVID-19 pandemic and the subsequent lockdowns. The pandemic created a massive demand for online food delivery services. Swiggy and Zomato emerged as the leading food delivery services in the country and introduced new features such as grocery delivery, pay later services and running errands to stay ahead of their competitors.

Online Food Delivery Services Market Outlook

The global online food delivery services market size is poised to grow from an estimated $150 billion in 2023 to a staggering $450 billion by 2032, registering a robust CAGR of 12.5% over the forecast period. This impressive market growth is primarily driven by increasing urbanization, a growing younger population, and the rising adoption of smartphones and internet services worldwide.

One of the primary growth factors propelling the online food delivery services market is the rising consumer preference for convenience. In todayÂ’s fast-paced world, individuals increasingly value the ability to order meals from the comfort of their homes or offices. With busy lifestyles becoming the norm, many consumers are opting for food delivery services that save them time and effort. Moreover, the COVID-19 pandemic significantly accelerated this trend, as lockdowns and social distancing measures pushed more people to use online platforms for ordering food, thereby giving the market a substantial boost.

Another significant factor contributing to the growth of the online food delivery services market is the expansion of the restaurant industry and the increasing number of food service providers joining delivery platforms. Restaurants and food chains are partnering with delivery services to reach a broader customer base. Additionally, the advent of cloud kitchens, which are commercial facilities purpose-built to produce food specifically for delivery, is further enhancing the market landscape. These kitchens reduce overhead costs and allow businesses to focus exclusively on preparing high-quality meals for delivery.

Technological advancements also play a crucial role in driving market growth. The integration of artificial intelligence (AI) and machine learning (ML) into food delivery platforms has improved the efficiency and customer experience. For instance, AI-driven algorithms help in optimizing delivery routes, thereby reducing delivery times and enhancing customer satisfaction. Furthermore, the use of data analytics allows companies to understand consumer preferences better and offer personalized recommendations, thereby boosting sales.

The rise of Virtual Restaurant & Ghost Kitchens has significantly transformed the food delivery landscape. These innovative concepts allow businesses to operate without a traditional storefront, focusing solely on delivery and takeout services. By leveraging shared kitchen spaces, virtual restaurants can reduce overhead costs and experiment with diverse cuisines without the constraints of a physical location. This model not only benefits restaurateurs by lowering entry barriers but also provides consumers with a wider array of dining options. As the demand for convenient and varied food choices continues to grow, virtual restaurants and ghost kitchens are poised to play a crucial role in the evolution of the online food delivery market.

From a regional standpoint, Asia Pacific holds the largest share of the online food delivery services market, owing to its large population and the rapid adoption of smartphones and internet services. North America and Europe also represent significant market shares due to the high disposable income and lifestyle changes among consumers in these regions. Additionally, the Middle East & Africa and Latin America regions are expected to witness considerable growth due to increasing urbanization and the growing popularity of online food delivery services.

Platform Type Analysis

The online food delivery services market can be segmented based on platform type into mobile applications and websites. Mobile applications dominate the market, primarily due to the widespread use of smartphones and the convenience they offer. With the proliferation of mobile internet and the increasing affordability of smartphones, more consumers are opting to use mobile apps for their food delivery needs. These apps provide a user-friendly interface, easy navigation, and features such as real-time tracking of orders, which enhance the overall customer experience.

Virtual Restaurant and Ghost Kitchens are reshaping the traditional restaurant industry by offering a flexible and scalable solution for food service providers. These establishments operate exclusively o

The quick-service restaurant market in India was valued at about 25.46 billion U.S. dollars in 2024. It was forecasted to reach 38.7 billion U.S. dollars in 2029. Unorganized versus organized QSR sector Roadside eateries, Dhabas, and food stalls, the traditional fast food formats formed a major part of the unorganized sector. The organized fast-food sector in India was dominated by global food chains like Dominos, McDonalds, KFC and Pizza Hut. These leading chain restaurants successfully catered to the country's population and by adding customized dishes to their standard menus. Impact of COVID-19 on QSRs The food service industry was tremendously affected by the COVID-19 pandemic and the subsequent lockdowns. The pandemic created a massive demand for online food delivery services. Swiggy and Zomato emerged as the leading food delivery services in the country and introduced new features such as grocery delivery, pay later services and running errands to stay ahead of their competitors.

Online Takeaway Food Market Outlook

The global online takeaway food market size was valued at $120 billion in 2023 and is projected to reach approximately $250 billion by 2032, growing at a CAGR of 8.2% during the forecast period. The burgeoning urban population, busy lifestyles, and increasing internet penetration are significant growth factors driving this market.

One of the primary growth factors of the online takeaway food market is the rapid urbanization across the globe. As more people move to urban areas, the demand for convenient and quick meal options has surged. Additionally, dual-income households with limited time for cooking have found online takeaway services to be a valuable solution. The availability of diverse cuisine options at their fingertips has further fueled this demand. Moreover, the rise of single-person households has boosted the need for single-serving meal options, making online takeaway an attractive alternative.

Technological advancements have significantly contributed to the growth of the online takeaway food market. With the proliferation of smartphones and the widespread availability of high-speed internet, ordering food online has become easier and more convenient than ever before. Mobile applications with user-friendly interfaces, real-time tracking, and multiple payment options have enhanced the customer experience, encouraging more consumers to opt for online takeaway services. Furthermore, innovations such as AI-driven personalized recommendations and voice-activated ordering systems are set to transform the market landscape further.

The COVID-19 pandemic has also accelerated the growth of the online takeaway food market. With lockdowns and social distancing measures in place, many consumers turned to online food delivery services as a safer alternative to dining out. Restaurants, in turn, have increasingly partnered with online food delivery platforms to sustain their businesses during the pandemic. This behavioral shift is expected to have long-lasting effects, as many consumers have developed a preference for the convenience and safety of online takeaway services.

Regional outlooks indicate that North America and Europe are currently the largest markets for online takeaway food, driven by high internet penetration and busy lifestyles. However, the Asia Pacific region is expected to witness the highest growth rate due to the rapid urbanization and increasing middle-class population in countries like China and India. Additionally, the rising disposable incomes and changing food consumption patterns in this region are anticipated to fuel the market growth further.

Cuisine Type Analysis

The cuisine type segment of the online takeaway food market is highly diverse, catering to a wide range of consumer preferences. Chinese cuisine holds a significant market share, driven by its widespread popularity and the availability of various regional dishes. The convenience and quick preparation time of Chinese food make it a favored choice for online orders. Moreover, the adaptability of Chinese cuisine to local tastes has contributed to its global appeal, making it a staple in the online takeaway market.

Indian cuisine is another major segment, known for its rich flavors and diverse menu options. The growing diaspora of Indian communities around the world has led to an increased demand for authentic Indian food, which is now easily accessible through online takeaway platforms. Additionally, the popularity of Indian cuisine among health-conscious consumers, due to its use of various spices and herbs with potential health benefits, has further boosted this segment.

Italian cuisine, particularly pizza and pasta, remains a favorite for online takeaway orders. The simplicity and universal appeal of Italian dishes make them a popular choice among consumers of all age groups. Online takeaway platforms often feature a wide range of Italian restaurants, offering everything from classic pizzas to gourmet pasta dishes. The integration of Italian cuisine with modern food trends, such as gluten-free and vegan options, has also contributed to its sustained popularity.

Japanese cuisine, especially sushi and ramen, has seen a growing demand in the online takeaway food market. The perception of Japanese food as a healthy and balanced diet option has attracted health-conscious consumers. Moreover, the increasing number of Japanese restaurants offering online takeaway services has made it easier for consumers to enjoy this cuisine from the comfort of their homes. Special pac

Over the five years through 2025, Ireland’s Restaurant and Takeaways industry’s revenue is expected to expand at a compound annual rate of 14.6%. It's no secret the food industry has struggled in recent years, with COVID-19 lockdown restrictions causing operational costs to become unmanageable, pushing many restaurants out of business. Following the pandemic, restaurants and takeaways faced rampant inflation, rising food prices and inventory bills. As consumers grapple with eroding incomes, passing on price hikes isn't the best idea. Unfavourable economic conditions have compelled industry establishments to reassess their operating models. By implementing cost-cutting strategies to reduce inefficiencies, restaurants and takeaway establishments can minimise price hikes for customers. Those who fail to adapt risk experiencing significant drops in profitability and may be forced to exit the market. In 2025, revenue is anticipated to inch upwards by 5.6% to reach €6.5 billion. Online food ordering and delivery platforms like Deliveroo offer a lifeline to restaurants, expanding their reach without the cost of in-house delivery networks. This trend has grown alongside the increasing prevalence of remote and hybrid working patterns, as workers increasingly rely on food delivery apps for the convenience and ease of obtaining meals with just a touch of a button. Meanwhile, ever-growing health and environmental awareness among Irish consumers means restaurants are increasingly adding healthy, vegetarian and vegan options, with gluten-free options gaining popularity. Restaurants that tap into customer data and cater to evolving trends and tastes are seeing strong sales prospects. Restaurant and Takeaway revenue is forecast to climb at a compound annual rate of 4.6% over the five years through 2030 to €8.2 billion. In the short term, confidence in Ireland’s hospitality sector will remain low, which is anticipated to lead to redundancies due to VAT hikes, wage inflation and weak consumer spending. Restaurants and Takeaways must adapt to survive. Strategies include revising menus, using cost-effective ingredients, offering promotions and being transparent about costs to avoid deterring customers. Diners’ increasing focus on health and global cuisines also drives menu changes. Marketing and promotions are crucial as social media can turn local spots into viral sensations. Diners seek experiences beyond food quality, with food festivals offering unique opportunities to explore new cuisines and engage with top chefs.

COVID-19 in Russia was centered in the city of Moscow, which accounted for the highest number of cases, measuring at around 3.5 million as of June 4, 2023. It was followed by Saint Petersburg with more than 1.9 million cases. In total, over 22.9 million COVID-19 cases were recorded in Russia as of June 4, 2023.

COVID-19 in Moscow The city of Moscow was Russia’s region with the largest number of conducted COVID-19 tests. Moscow's self-isolation index during the lockdown indicated that most residents stayed home. With entertainment venues, restaurants and bars, and non-food shops closed, the subway traffic in the capital decreased by 85 percent compared to the previous year. Furthermore, car sharing services were suspended in the city due to risks of the COVID-19 contagion. Until the end of 2021, pensioners in Moscow could receive 10 thousand Russian rubles for getting vaccinated.

Self-isolation regime Due to the COVID-19 outbreak, Russia announced a non-working period until May 11, 2020. Its regions, or federal subjects, imposed additional quarantine measures to restrict movement of residents and transport during the shutdown. In most regions, the population could go outside only to the nearest grocery store, to walk a dog, or to see a doctor in emergency cases. Moscow authorities introduced digital passes, requiring Russians to register online before leaving home. Another lockdown was held from the end of October to the beginning of November. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Food Delivery Solution Market Outlook

The global food delivery solution market size was valued at approximately USD 150 billion in 2023 and is expected to reach USD 550 billion by 2032, growing at a compound annual growth rate (CAGR) of 15.6% during the forecast period. This significant growth can be attributed to several factors, including the increasing consumer preference for convenience, the proliferation of smartphones, and the rising penetration of the internet. These elements are shaping the landscape of food delivery services, making them more accessible and widespread across different regions.

One of the primary growth drivers for the food delivery solution market is the shift in consumer behavior towards online food ordering. The fast-paced lifestyle of urban consumers has led to a surge in demand for convenient and quick meal solutions. This is further complemented by the increasing number of working professionals who prefer ordering food online rather than cooking at home. Additionally, the COVID-19 pandemic played a significant role in accelerating this trend as lockdowns and social distancing norms made dining out less feasible, thereby pushing more consumers towards online food delivery platforms.

Technological advancements are another crucial factor propelling the growth of the food delivery solution market. The development of sophisticated mobile applications and user-friendly websites has made it easier for customers to browse through menus, place orders, and make payments seamlessly. The integration of AI and machine learning algorithms in these platforms enhances user experience by providing personalized recommendations based on previous orders and preferences. Moreover, features like real-time tracking, multiple payment options, and customer reviews are making these platforms increasingly popular.

The rise of cloud kitchens is also contributing significantly to the market's expansion. Cloud kitchens, also known as ghost kitchens, operate without a physical dine-in option and focus solely on preparing food for delivery. This business model reduces overhead costs and allows for more efficient operations, making it an attractive option for new entrants in the market. Additionally, established restaurants are also adopting this model to expand their reach without the need for additional physical locations, further driving the market growth.

The concept of Virtual Restaurant Food Delivery is gaining traction as a transformative force in the food delivery industry. Unlike traditional restaurants, virtual restaurants operate exclusively through delivery platforms without a physical dining space. This model allows entrepreneurs to experiment with new cuisines and concepts with minimal overhead costs, leveraging existing kitchen spaces or partnering with cloud kitchens. The flexibility and scalability of virtual restaurants make them an attractive option for both established brands looking to expand their offerings and new entrants seeking to capture niche markets. As consumer preferences continue to evolve towards convenience and variety, virtual restaurant food delivery is poised to play a significant role in shaping the future of the food delivery landscape.

Platform Type Analysis

The food delivery solution market is segmented based on platform type, which includes mobile applications and websites. Mobile applications have emerged as the dominant platform for food delivery services, accounting for the majority of the market share. This dominance can be attributed to the widespread adoption of smartphones and the ease of access they provide. Mobile applications offer a more personalized and user-friendly experience, allowing customers to place orders quickly and efficiently. Features such as push notifications, loyalty programs, and in-app promotions further enhance customer engagement and retention.

Websites, while not as popular as mobile applications, still play a significant role in the food delivery solution market. They cater to a segment of consumers who prefer using desktops or laptops for placing orders. Websites offer a broader interface and are often easier to navigate for detailed menu browsing. Many food delivery companies maintain both mobile applications and websites to ensure they cater to a diverse customer base. The seamless integration between the two platforms ensures a consistent user experience, regardless of the device used.

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Multiple linear regression analysis of predictors of change (Δ) in %times in range and CV for blood glucose from pre-lockdown to lockdown for the combined adult and paediatric cohorts (n = 145).