After a decline in 2020, the global industrial automation market is finally showing positive signs of a recovery after COVID-19. According to researchers, during 2021 we’ll see a progressive growth that will continue in the coming years.

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The progress of Industry 4.0 is still in the making thanks to the advances in those technologies that made it possible in the first place. Technologies such as low-cost sensors, Big Data and, of course, wireless connections.

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Thanks to autonomous and collaborative robots, companies have access to new opportunities in terms of long-term cost reduction, productivity, stability of use and labor, reduction of the error rate, optimization of picking times, sorting and storage, and much more.

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Switching from condition-based monitoring to predictive maintenance represents one of the great breakthroughs of Industry 4.0. The proactive and preventive management of asset maintenance and failure has made it possible to significantly optimize uptime and productivity.

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With NERVO servo drive, ESA presents a compact and reliable control solution for traction and pump applications. Available in three different sizes, with continuous current output ranging from 30A up to 130A, it allows you to control a wide range of motors, such as synchronous brushless PMAC motors and asynchronous motors, all with configurable feedback.

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After the halt in 2020, mainly due to the COVID-19 pandemic, the collaborative robotics market will start a steady growth in 2021. A trend that is expected to continue until 2026.

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Great news regarding the National Transition Plan 4.0. The 2021 maneuver confirms some decisive points for investors, including its extension to 2022, the adoption of the principle of retroactivity and a increase of about €24 billion.

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ESA’s EWDB synchronous servomotor guarantees dynamic performance and flexibility in various applications, from simple implementation functions to complex controls.

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The transition from cybersecurity to cyber resilience is a strategic necessity aimed at finding solutions that are both more effective and more realistic.

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Industrial Analytics is the collection, processing and use of data generated in industrial operations and during the entire life cycle of products or services.

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