Sustaining Industrial Growth with Emerging IIoT Trends
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Sustaining Industrial Growth with Emerging IIoT Trends

Network Infrastructure Magazine | Friday, April 28, 2023

Continuing technological innovations will usher in a new industrial automation and productivity era that will revolutionize industries.

FREMONT, CA: As the Industrial Internet of Things (IIoT) evolves in 2023, it will likely be characterized by greater adoption, optimization of 5G, increased flexibility, the use of artificial intelligence and digital twins, and cybersecurity developments. This informative overview provides an overview of this technology and its future. Being ahead of the curve is crucial in an ever-changing and competitive business landscape.

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Staying ahead of the competition requires a good understanding of what technologies and trends are on the rise.

IIoT: Research has shown that investment and adoption of IIoT technologies will continue throughout 2023 (and we expect them to do so). IIoT solutions have gained popularity in recent years as companies realize the benefits of going fully digital. The global IoT market value is estimated at $209.44 billion, based on a recent study conducted by Research and Markets. Manufacturers are particularly utilizing smarter shop floors because they can increase efficiency and save money. By 2026, things will nearly double to USD 397.86 billion, with a Compound Annual Growth Rate of 17.4 percent.

Infrastructure: Compared to its predecessor, 5G connectivity offers up to 100 times faster information transfer from device to device. As a result of their increased data speeds, 5G sensors can collect vast amounts of data from the environment around them, which opens up a whole new set of possibilities when used in sensors. Using this data, manufacturers can optimize their operations using 5G as a powerful tool for optimizing their operations. It can monitor air quality, manage traffic, and reduce energy consumption. New infrastructure and improved market accessibility make this technology incredibly accessible to manufacturers. Companies and governments continue to invest in networks, so expect to see more businesses utilizing its sensors soon.

Speeding-up supply chains: A key part is investing in Industry 4.0 and IoT technologies for manufacturers. Businesses can optimize their operations for better efficiency through connected devices and analytics, which provide real-time insights into production lines, identify issues, and address them quickly. Adaptation of these new trends has been on the rise, and it's likely to continue as more organizations realize the apparent benefits of these technologies.

Digitization: Industrial settings increasingly integrate artificial intelligence (AI) to improve efficiency and reduce costs. Among the many ways businesses can benefit from this technology are optimizing production processes, predicting maintenance needs, and managing inventory. Among the innovative technologies gaining traction in the industrial sector is digital twinning. Companies need to create virtual replicas of them to gain insight into how physical assets are performing and identify potential problems more quickly. Combining these two technologies can provide manufacturers with insight previously unachievable. Manufacturers are just beginning to explore the possibilities. Modern artificial intelligence-enabled digital twins can automate asset life cycles, predict system failures, and streamline maintenance processes.

Curbing data breaches: As technology advances rapidly, it becomes increasingly important to protect digital systems and information, which is why cybersecurity tools are so important for companies that want to remain competitive in the Industry 4.0 world. As the trend of smart, connected devices grows, protecting IoT networks is also becoming increasingly important as security solutions come in many forms, including antivirus protection, firewalls, password management tools, and encryption. Security solutions, such as artificial intelligence (AI) and machine learning-based solutions, are essential to mitigating cyber threats, such as data breaches, malicious software, and denial-of-service attacks. Many new solutions are being developed to detect threats and respond in real-time using artificial intelligence (AI) and machine learning.

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