Press release
‘Intelligent Conveyor System Market set to record exponential growth by 2028-end
Conveyor belt systems enable swift and efficient transport of bulky materials. The intelligence factor in an intelligent conveyor system is the capability of integrating and interpreting the data acquired via sensors in the conveyor belt system and further, make operational and maintenance decisions based on the overall status of the conveyor belt system. Such intelligent conveyor systems are required in order to overcome the operational problems that result as consequence of human errors made by the industry personnel. Thus, an industry requires conveyor belts integrated with advanced operational control systems and intelligent monitoring. In an intelligent conveyor system, the smart monitoring feature monitors multiple conveyor belt components and represents the complete operational and technical status of conveyor belt system.
Intelligent Conveyor System Market: Drivers & Challenges
Intelligent conveyor systems are very efficient and reliable, which increases their demand in large industries. Also, rising requirement of mitigating damage to fragile materials and remove human error from the industrial processes drives the global intelligent conveyor system market. Installation of temperature sensing and X-ray devices increase the demand for intelligent conveyor systems in airports and other high security areas. Innovations, such as integration of distributed control systems in intelligent conveyor systems, enables efficient management of the data acquired by the sensors and ensures uninterrupted process execution. Some other features of intelligent conveyor systems, such as interpretation and monitoring situations in order to identify abnormalities, automatic discovery of factors causing faults and failures in the conveyor belt system, and the provision of optimal operational, maintenance and control strategies, is expected to drive the global intelligent conveyor system market during the forecast period.
Factors, such as the vast distribution of conveyor belts in a large scale system and the ever-growing size of the conveyor belt system, make the development and integration of intelligent conveyor systems difficult. For instance, the simultaneous monitoring of individual idler rollers is very difficult, due to their vast number and the distribution scale. In order to assess the changes in intelligent conveyor system status, multiple parameters of different components are required to be monitored simultaneously. Hence, the amount of data acquired by the sensing infrastructure is huge, and the interpretation and analysis of data becomes unmanageable. Such factors pose a challenge to the overall growth of the global intelligent conveyor system market.
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Intelligent conveyor system Market: Segmentation
Intelligent conveyor systems find applications in the following industries:
By industry,
Automotive
Food and beverage
Life Sciences
Retail
Material handling
Others (mining, construction et cetera)
On the basis of component, the global intelligent conveyor system market can be segmented into the following,
Solutions
Intelligent conveyor system software
Intelligent conveyor system hardware
Services
Installation services
Operational services
Maintenance services
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Intelligent Conveyor System Market: Regional Outlook
Huge investments are being made by the governments and industrialists in North America, especially the United States, in order to integrate intelligent conveyor systems in industries. Also, the automation revolution in the industrial sector, drives the market in North America. The industrial automation factor is also expected to drive the intelligent conveyor system market in Europe and Asia Pacific regions. Also, with increasing number of industries and developing economies, such as India, will increase the demand for intelligent conveyor systems in the region.
Intelligent conveyor system Market: Key Players
Few of the major players operating in the global intelligent conveyor system market include, Schneider Electric; Daifuku Co., Ltd.; Dorner Mfg. Corp.; Schafer Holding International GmbH; Dematic; Murata Machinery, Ltd.; Vanderlande Industries B.V.; Mecalux, S.A.; Beumer Group GmbH; Intelligrated; Fives Group; Swisslog AG; Knapp AG; TGW Logistics Group GmbH; Grenzebach Maschinenbau GmbH; Witron Logistik + Informatik, GmbH; Kardex AG; Bastian Solutions; System Group; Egemin Automation; Vaistore Systems and Dearborn Mid-West Company, among others.
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