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Coronavirus Outbreak: Food Delivery Mobile Application Market Fights Back with Well-defined Business Strategies by Apple Inc., Cognizant, IBM Corporation, Microsoft Corporation, SAP SE, CA Inc., Google Inc., Mendix, Red Hat Inc., Zoho Corporation Pvt. Ltd

04-15-2020 06:45 PM CET | IT, New Media & Software

Press release from: Allied Market Research

Coronavirus Outbreak: Food Delivery Mobile Application Market

According to the report, the global food delivery mobile application market was pegged at $3.79 billion in 2017 and is projected to reach $16.61 billion by 2023, registering a CAGR of 27.9% during the period 2017-2023. Rise in the standard of living, high internet penetration, increase in collaboration of various restaurants with application developers, and surge in investment in digitization is expected to propel the growth of the global food delivery mobile application market.

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High internet penetration, rise in the standard of living in the developing countries, and increase in mobile and smartphone usages are the major drivers of the global food delivery mobile application market. However, lack of high-speed connectivity in the underdeveloped and emerging economies and uncertainty of enterprises in developing their own applications hamper the market growth. However, rise in investment on digitization and adoption of marketing strategies such as collaboration of various restaurants with application developers are expected to create lucrative opportunities for the market players in the near future.

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Key questions answered in Food Delivery Mobile Application Market research study:

o What is the market growth rate of Food Delivery Mobile Application Market from 2017-2023?

o What will be the global market size of the market from 2017 to 2023?

o Who are the leading global manufacturing companies in the Food Delivery Mobile Application Market?

o What are the major current trends and predicted trends?

o What are the challenges faced in the Food Delivery Mobile Application Market?

o Which will be the niches at which players profiling with thorough plans, financials, and also recent advancements should set a presence?

o Which will be the anticipated growth rates for your own Data Masking economy altogether and also for every segment inside?

o Which will be the Data Masking application and types and forecast accompanied closely by producers?

o What are the conclusions of the Food Delivery Mobile Application Market report?

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Asia-pacific region is projected to register the fastest CAGR of 29.8% during the forecast period. Moreover, the region dominated the market, holding nearly half of the market share in 2017, owing to increase in technological adoption and rise in number of food delivery apps in the developing countries such as China, India, and Japan. The report also includes analysis of other regions such as North America, Europe, and Latin America, Middle East and Africa (LAMEA).

The Android segment held the largest share in 2017, contributing more than two-thirds of the total market share, owing to rise in usage of Android smartphones and other IoE devices. However, the iOS segment is projected to manifest the fastest CAGR of 29.2% through 2023.

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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

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