According to a report by Grand View Research, Inc., global food robotics market is estimated to reach at USD 3.35 billion by 2025 growing at a CAGR of 13.1% over the forecast period (from 2018 to 2025). Growing requirement for high operational efficiency in production process, as a result of increasing need for packaged and processed foods, is anticipated to propel the demand for food robotics. Automated machines offer maximum work efficiency at reduced labor cost. Continuous technological developments in robotics coupled with introduction of advanced and innovative automation technologies can further stimulate the demand for robotic systems. In addition, stringent government regulations for food safety are also anticipated to contribute toward the market growth.
The food robotics market is segregated on the basis of product type, payload, application, and region. Based on product type, the market is classified into parallel, articulated, SCARA, cylindrical, and other. In 2016, articulated segment dominated the market and accounted for the highest market share. The SCARA, parallel, and cylindrical segments are expected to have a substantial growth during the forecast period. Based on payload, the market can be divided into medium, low, and heavy. Low and medium payload capacity segments are anticipated to grow rapidly during the forecast period. Low, medium, and heavy payload systems can have payload capacities of 0–10 kg, 10 kg–100 kg, and 100+ kg, respectively.
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Based on application, the market is segregated into repackaging, packaging, palletizing, picking, processing, other. Packaging segment is expected to grow at phenomenal CAGR during the forecast period mainly due to rising demand for packaged food. Growing adoption of automated machines in food processing is also estimated to drive the processing and repackaging segments over the forecast period. Based on geographies, the market is divided into Europe, North America, Asia Pacific, and Rest of the World (ROW). In 2016, Europe dominated the global market and accounted for the largest share attributed to strict food safety regulations and increasing labor costs. Regulatory measures taken by the European governments towards food safety are also likely to impel the demand for automated systems in the region.
In Asia Pacific, the market is anticipated to witness a remarkable growth during the forecast period. High demand for packaged and processed food owing to increasing disposable income has fueled the adoption of food automation technologies in the region. In North America, the market is expected to grow substantially over the next few years. Strong presence of prominent manufacturers is expected to be the key factor driving the market growth in this region.
Some of the leading companies offering food robotics are Yaskawa Electric Corporation; ABB Group; Kawasaki Heavy Industries Ltd.; Fanuc Corporation; and Mitsubishi Electric Industries. Most of the companies invest in R&D to introduce advanced robotic solutions to meet rising consumer demands. For instance, Japanese electronics giant Sony and Carnegie Mellon University (CMU) have collaborated for a research study on use of robotics and Artificial Intelligence (AI) to optimize food preparation, cooking, and delivery. Research work is expected to be carried out at the CMU’s School of Computer Science in Pittsburg. The team includes experts from various fields such as Machine Learning (ML), AI, and robotics. The team will be developing robots that can handle irregular and fragile materials to perform small or even complex commercial and household tasks.
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About Grand View Research
Grand View Research, Inc. is a U.S. based market research and consulting company, registered in the State of California and headquartered in San Francisco. The company provides syndicated research reports, customized research reports, and consulting services. To help clients make informed business decisions, we offer market intelligence studies ensuring relevant and fact-based research across a range of industries, from technology to chemicals, materials and healthcare.
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