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Robotic Bow Tying Systems Market - Company Analysis, SWOT, Marketing Strategy

08-27-2018 10:36 AM CET | Fashion, Lifestyle, Trends

Press release from: Transparency Market Research

/ PR Agency: Transparency Market Research
Robotic Bow Tying Systems Market - Company Analysis, SWOT,

The growth in various manufacturing facilities across the globe is expected to positively influence the robotic bow tying market in the near future. Manufacturers are also presenting packaging robots, along with innovative technological features and add-on perks like customized operational speed, accuracy, efficiency and high precision.

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Robotic packaging manufacturers have begun designing packaging robots as per company requirements. One of the packaging robot manufacturer introduced a pick and pack robot for a pharmaceutical company where the robots can pick and then place the cartridges two times faster than the traditional packaging robots that are presently used. More value added integration of technology in the robotic bow tying systems by manufacturers will increase the demand for the packaging robots and drive the robotic bow tying system market.

With a focus on innovative marketing strategies, leading companies have come up with aesthetically-pleasing packaging designs and solutions. One of them is the packing the product in the form of a gift. Human beings can consistently tie beautiful looking bows at a rate of nearly five bows per minute; however, maintaining this consistency for long-term becomes a challenge. Tying bows all day long along with other trading work increases the risk of repetitive motion damages and Carpel tunnel syndrome. Automating this process can not only improve worker safety, but also lead to increased production output.

The first robotic bow tying system was manufactured for Esther Price Fine Chocolates, a chocolate manufacturer. It was a flexible automation system in which 3D simulation software was used for precise programming and it also reduced the size of the robot. A Yaskawa Motoman’s MotoSim EG, offline programming package was used which enables precise 3D automation of the robotic system. This robotic system could tie two boxes per minute for 12-14 hours consistently. The 3D simulation software makes a successful entry in the industrial motion control and robotics.

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The end-use industries for this market can be segmented into pharmaceuticals, consumer products, food and beverages, tracking and logistics along with industrial packaging. The industrial packaging can further be sub-segmented into electronic devices, chemicals and others. The consumer products segment will be the most promising market for these robotic bow tying systems. The increasing demand for customized industrial robots for pick and place and packaging facilities is expected to enhance the market of robotic bow tying systems across the globe.

Robotic Bow Tying Market: Region-wise Segmentation

The Robotic bow tying system market can also be segmented on the basis of region. Asia Pacific is one of the largest markets for robotic bow tying system with China at the forefront of global sales. In a bid to tap into the Asia Pacific market, leading multinationals are making a foray, but are facing stiff price competition from Chinese manufacturers. Asia Pacific is followed by Europe and North America. During the forecast period 2016-2024, the robotic bow tying market in developed regions is anticipated to witness moderate growth; however, in developing regions, the market is expected to grow at a robust pace. This is due to the increasing packaging and logistics market in the developing countries.Amongst the developing regions, Latin America and MEA will witness a relatively slower growth rate.

About TMR

Transparency Market Research (TMR) is a global market intelligence company providing business information reports and services. The company’s exclusive blend of quantitative forecasting and trend analysis provides forward-looking insight for thousands of decision makers. TMR’s experienced team of analysts, researchers, and consultants use proprietary data sources and various tools and techniques to gather and analyze information.

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