Food Industry Automation Solutions Market is globally expected to drive growth through 2023-2028

  • The global Food Industry Automation Solutions market size was significantly robust in 2020 and is expected to register a steady revenue CAGR over the forecast period. Key factors driving market revenue growth are mature stage of robotic technology demanding automation and food hygiene practices in various processes. In addition, improved safety, quality and productivity, increasing profitability, and labor shortage are other key factors expected to drive demand for Food Industry Automation Solutions, and support market revenue growth.

    Food Industry Automation Solutions refer to the use of control systems, computers, and information technology to handle various processes and machinery. The main goal is to eliminate manual labor while improving efficiency, speed, and overall performance. The food industry has been one of the most difficult sectors to automate due to a combination of factors such as huge volumes, changeable size, shape, and delicate nature of objects. Furthermore, due to higher costs of goods and labor, production expenses have grown, and due to rivalry in the retail and foodservice sectors, there are limited chances to raise product prices. Automation and robots can help raise production volumes in a short amount of time while reducing wastage in mass-produced products. Artificial intelligence and big data development are having a favorable impact on the interconnection of the food industry process.

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    Revenue growth of the global Food Industry Automation Solutions market is significantly driven by rising concerns of quality for both food producers and consumers. When manufacturing and packing are automated, problems are more quickly detected and isolated. Robotics and automation are frequently used to automate repetitive, tedious, and even dangerous tasks. It also frees up workers to deal with more important concerns. Improved traceability provides useful information that allows firms to assure regulatory compliance while lowering compliance costs. This information can also be used to troubleshoot and identify problems in the supply chain, allowing continual improvement and higher overall quality, safety, and profitability. Many processes will be benefited from increased performance and productivity as a result of robotics and automation is expected to further boost revenue growth.

    Competitive Landscape:

    Stäubli International AG
    Epson America, Inc.
    Mayekawa Mfg. Co.
    Bastian Solutions, Inc.
    Kuka AG
    Flexicell Inc.
    Kawasaki Robotics
    Universal Robots A/S
    Schneider Electric S.E.
    ABB Group
    Autonox Robotics GmbH
    Soft Robotics Inc
    Emerson Electric Co.
    Siemens AG
    GEA Group
    Rockwell Automation Inc.
    Mitsubishi Electric Corporation
    Fanuc Corporation
    Yaskawa Electric Corporation
    Yokogawa Electric Corporation

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    The global market is further segmented into type and application:

    Food Type Outlook (Revenue, USD Billion; 2018-2028)

    Dairy Products
    Bakery & Confectionery
    Fruits & Vegetables
    Meat & Poultry
    Fish & Sea Food
    Oil & Fats

    Application Outlook (Revenue, USD Billion; 2018-2028)

    Food Manufacturing
    Food Packaging
    Food Delivery

    Regional analysis provides insights into key trends and demands in each major country that can affect market growth in the region.

    North America (U.S., Canada, Mexico)
    Europe (Germany, U.K., Italy, France, BENELUX, Rest of Europe)
    Asia Pacific (China, India, Japan, South Korea, Rest of APAC)
    Latin America (Brazil, Rest of LATAM)
    Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

    Key Takeaways of the Competitive Overview Section:

    Overview of the company profiles of each market player
    Industrial chain analysis of each player
    Revenue share contribution
    Sales network and distribution channels and net profits and losses of each company
    Key business growth strategies are undertaken by these players

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