Europe Online Food Delivery Market 2021-2026

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    The online food delivery (OFD) service is an emerging new wave in Malaysia’s food and beverage business. Online meal ordering is the new eating out, replacing take-out and dining out.


    The evolution of internet meal delivery services may be ascribed to the changing character of metropolitan customers. Southeast Asia has a big meal delivery business.


    While the food industry is worth trillions of dollars, the delivery sector accounts for only a small portion of that total. Online meal ordering is the new eating out, replacing take-out and dining out. There are various meal delivery firms in Europe, with many of them offering online food delivery.


    infographic: Europe Online Food Delivery Market, Europe Online Food Delivery Market Size, Europe Online Food Delivery Market Trends, Europe Online Food Delivery Market Forecast, Europe Online Food Delivery Market Risks, Europe Online Food Delivery Market Report, Europe Online Food Delivery Market Share

    The evolution of internet meal delivery services may be ascribed to the changing character of metropolitan customers.


    These customers employ food delivery services for a number of reasons, but the most prevalent appears to be the desire for quick and easy meals during or after a long day at work.


    The various food delivery services that are readily available relieve consumers of the burden of thinking about and planning meals, regardless of whether the consumer is preparing the meal himself, going to a restaurant and dining in, or going to a restaurant and purchasing food to bring back to the office or home. Food delivery services, in particular, have significantly altered customer behavior.


    OFD services are a practical choice for many busy city dwellers throughout a hectic work day in the metropolis.


    Many people choose this meal delivery option since it allows them to have fresh and healthy food delivered to their offices or homes while still allowing them to work.


    This is particularly advantageous since city inhabitants may use OFD services after a hard day at work, preferring to go home and rest rather than spending a few more hours out waiting for food or travelling back and forth merely to grab something to eat.


    Customers benefit from the convenience and time savings provided by OFD services since they may purchase food without leaving their homes or businesses.



    S No Overview of Development Development Detailing Region of Development Possible Future Outcomes
    1 Spain’s Glovo picks up $528M as Europe’s food delivery market continues to heat up On the heels of Deliveroo raising more than $2 billion ahead of its debut on the London Stock Exchange this week, another hopeful in the food delivery sector has closed a super-sized round. Glovo, a startup out of Spain with 10 million users that delivers restaurant take-out, groceries and other items in partnership with brick-and-mortar businesses, has picked up a Series F of $528 million (€450 million). Europe – UK This would enhance better innovations



    The most important aspect influencing consumers’ motivation to employ technology-based self-service is time saving. Many individuals despise the effort of looking for meals and waiting for food at restaurants in recent years, owing to their hectic lifestyle.


    They would want meals to be served to them as quickly as possible and with as little effort as feasible. One of the key contributing variables influencing people’s behavioral intention to purchase online is time savings.


    Rapid urbanization has produced a scenario in which city people have little time, particularly during the weekdays, to make their own meals or even dine at restaurants.


    Because of the increasing usefulness of smartphone phone users and the internet penetration rate, Europe’s online food delivery facility is developing year on year, contributing to the massive expansion of this industry.


    Furthermore, the COVID-19 epidemic has radically altered the way people purchase meals online in Europe. Because individuals are urged to stay at home and hotels are closed during this period, internet meal ordering has grown dramatically.


    The advent of meal delivery aggregators such as Grubhub, Uber Eats, and Doordash in the European market has also contributed to market expansion. Uber Eat, Glovo, Delivery Club, Just Eat, and Deliveroo are the top five most popular meal delivery apps in 2020.


    Furthermore, internet meal delivery services provide various advantages to foodservice businesses. One of the most significant benefits of online meal delivery is labour savings because employees are not tethered to the phone or the counter.


    Along with labour savings, other significant advantages of online meal delivery for foodservice companies include improved order accuracy, better convenience for guests, simplified order processing, and so on.


    Furthermore, online meal ordering may give food service operators with critical consumer information that can be used to develop promotional tactics such as targeted promotions meant to generate off-peak demand, specials targeted at specific demographics, and so on.




    The Europe Online Food Delivery Market can be segmented into following categories for further analysis.

    By Platform of Technology

    • Website based Ordering
    • Application based Ordering


    By Business Model of Usage

    • Order Focused Food Delivery Systems
    • Logistics based delivery Systems
    • Full-Service food Delivery Systems


    By Combination of Application

    • Online Payment
    • Cash of Delivery Payment
    • Couponed Payment



    The fast expansion of internet meal delivery services has caused havoc in the traditionally offline restaurant business. This paper provides empirical evidence on the crowding-out effects and market expansions caused by the staggered arrival of online food delivery services.


    Online meal delivery is an excellent example of e-commerce upending a conventional sector. A flood of new food delivery companies has resulted in a significant increase in the overall number of transactions and revenue for the fledgling business.


    Although internet meal delivery services give additional income channels, they also bring the danger of cannibalization, in which brick-and-mortar sales actually decrease because consumers who purchase in-store shop online.


    There has been latest integration of advanced systems of algorithms within the operational applications of the Europe market, through the use of chatbots, AI and ML assist online meal delivery firms in improving their client experiences.


    Chatbots enable food delivery companies to stay in touch with their consumers and respond to their inquiries in a timely way, therefore keeping loyalty, improving client relationships, and driving sales.


    Furthermore, AI and ML allow food delivery firms to better analyse numerous areas of the company, such as the influence of market trends on consumption patterns, allowing them to better understand their customers’ behaviour and provide more personalised services.


    Furthermore, ML enables organisations that provide online meal delivery in gathering real-time traffic data, either lowering or providing an accurate estimation of the delivery time.


    Speech-activated shopping makes use of a natural-language voice query to search for items on a standalone device or a smartphone.


    The idea is to employ voice or speech recognition software incorporated in a device to provide audio replies to vocal requests and to do searches.


    Voice-activated purchasing is now feasible thanks to devices such as the Amazon Echo and Amazon Dot, which run voice-recognition software such as Amazon’s Alexa, which learns as it goes (using AI).


    Higher improvisation of digital transactions is getting increasingly common. They are especially important during the Covid-19 outbreak, when customers are attempting to avoid cash purchases owing to concerns about virus transmission.




    The staggered rollout and expansion of online meal delivery services across time and place allows us to assess these effects and how they differ between areas and over time.


    Online meal delivery services have been available for some time. Several chain restaurants-built websites where customers could buy take-out, but these services were only available within the business’s own locations.


    Individual eateries followed suit, launching their own delivery websites. In the early twenty-first century, even grocery businesses began to provide internet delivery.


    However, generic online meal delivery services that allow delivery from a variety of eateries have just recently gained popularity.


    Just Eat has been one of the leading technology-based innovation of ordering systems deployed in the EU with a major share of its orders under the UK.


    In the United Kingdom, six out of every ten takeouts are ordered over the phone. Just Eat comes in handy in this situation. Just Eat is the top online and mobile takeout ordering service in the world. In 2014, the firm went public on the London Stock Exchange, and it now operates in 12 markets across the world.


    Just Eat UK, the UK division, was formally established in 2006 and presently serves over 27,000 eateries across the nation. Just Eat intends to deeply integrate itself into the Internet of Things, with various linked gadgets around the house shown in its showcase room and used to order meals.


    The first was via Amazon Alexa, a voice-driven artificial intelligence that allows customers to speak to items such as the Amazon Echo and receive a response/action.


    Users will be able to use the Echo to place and order through Just Eat by speaking to it. Alexa will repeat your purchase and enable you to pay, presumably using stored payment information, before informing you of the estimated delivery time.


    Deliveroo is one of the most used ordering system-based platforms in the European Nations which is focused on developing and integrating latest technologies at a faster pace for the market.


    Deliveroo was started in the United Kingdom, and we are thrilled to be exporting British-born technology all over the world.


    The ‘Frank’ algorithm is built on advanced predictive technology that determines the most effective method to distribute orders depending on the location of restaurants, riders, and consumers.


    Machine learning predicts how long it will take to cook a meal, which helps to simplify the delivery process. Deliveroo has already reduced delivery time by 20%, allowing riders to complete more deliveries per hour and boost their earnings, businesses to increase revenues, and consumers to receive their food even faster.






    Sl no Topic
    1 Market Segmentation
    2 Scope of the report
    3 Abbreviations
    4 Research Methodology
    5 Executive Summary
    6 Introduction
    7 Insights from Industry stakeholders
    8 Cost breakdown of Product by sub-components and average profit margin
    9 Disruptive innovation in the Industry
    10 Technology trends in the Industry
    11 Consumer trends in the industry
    12 Recent Production Milestones
    13 Component Manufacturing in US, EU and China
    14 COVID-19 impact on overall market
    15 COVID-19 impact on Production of components
    16 COVID-19 impact on Point of sale
    17 Market Segmentation, Dynamics and Forecast by Geography, 2021-2026
    18 Market Segmentation, Dynamics and Forecast by Product Type, 2021-2026
    19 Market Segmentation, Dynamics and Forecast by Application, 2021-2026
    20 Market Segmentation, Dynamics and Forecast by End use, 2021-2026
    21 Product installation rate by OEM, 2021
    22 Incline/Decline in Average B-2-B selling price in past 5 years
    23 Competition from substitute products
    24 Gross margin and average profitability of suppliers
    25 New product development in past 12 months
    26 M&A in past 12 months
    27 Growth strategy of leading players
    28 Market share of vendors, 2021
    29 Company Profiles
    30 Unmet needs and opportunity for new suppliers
    31 Conclusion
    32 Appendix


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