Global Artificial Intelligence in Food and Beverage Market Size, Status and Forecast 2022

SKU ID : QYR- 19709801

Publishing Date : 15-Dec-2021

No. of pages : 121

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  • Artificial intelligence in food and beverages will be defined as solutions that help in improving the supply chain of food & beverages industry. This solution provides gives other way to fulfil their customers in the lower costs. The advent usage of artificial intelligence, in the food & beverages industry has offers various advantages such as increases efficiency and execution of product delivery; increase food security and also reduces wastage of food.

    Market Analysis and Insights: Global Artificial Intelligence in Food and Beverage Market
    In 2021, the global Artificial Intelligence in Food and Beverage market size will be US$ million and it is expected to reach US$ million by the end of 2027, with a CAGR of % during 2021-2027.
    With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Artificial Intelligence in Food and Beverage market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Artificial Intelligence in Food and Beverage market in terms of revenue.
    On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Artificial Intelligence in Food and Beverage market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Artificial Intelligence in Food and Beverage market.

    Global Artificial Intelligence in Food and Beverage Scope and Market Size
    Artificial Intelligence in Food and Beverage market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Artificial Intelligence in Food and Beverage market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

    Segment by Type
    Software
    Hardware
    Service

    Segment by Application
    Cafeterias
    Food Production Facilities
    Restaurants
    Fast Food Restaurant
    Convenience Stores
    Others

    By Region
    North America
    United States
    Canada
    Europe
    Germany
    France
    U.K.
    Italy
    Russia
    Nordic
    Rest of Europe
    Asia-Pacific
    China
    Japan
    South Korea
    Southeast Asia
    India
    Australia
    Rest of Asia
    Latin America
    Mexico
    Brazil
    Rest of Latin America
    Middle East & Africa
    Turkey
    Saudi Arabia
    UAE
    Rest of MEA

    By Company
    TOMRA System
    Greefa
    Honeywell International
    Sesotec
    Key Technology
    Raytec Vision
    Rockwell Automation
    ABB
    Foodable Network
    Startup Creator
    Agco Corporation
    National Recovery Technologies
    Max-Ai
    Buhler AG
    QualySense
    Bratney Companies
    BoMill AB
    Intelligentx Brewing

    Frequently Asked Questions



    This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.

    • By product type
    • By End User/Applications
    • By Technology
    • By Region

    The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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