With the lingering economic consequences stemming from the global pandemic, various industrial operations are looking for unique technological products to elevate their brands.
Savvy businesses have embraced edge computing and the Internet of Things, leveraging the new-age tech to refine their industrial engineering undertakings. By bringing computing power closer to the raw data origin, firms eye low latency, greater performance and lower costs.
However, building a nifty edge solution doesn’t guarantee business success in the increasingly competitive space. The edge computing market is forecast to reach $250.6m by 2024, underscoring the need for out-of-the-box thinking when developing edge solutions. Product managers need to identify valuable trends to propel their business past the competition.
What are the powerful edge IoT trends for 2022?
The standout edge IoT trends to look out for in 2022 include:
Edge computing and IoT devices rely on fast connectivity, low latency and network reliability for improved process automation in an industrial setting. Advantageously, 5G connectivity and edge integration into industrial solutions are in their nascent development stages.
Consequently, product developers have an essentially blank canvas, enabling them to create offerings that leverage 5G’s greater bandwidth. After all, modern industrial operations generate considerably large data troves, necessitating low latency and high-speed capabilities. Therefore, product engineers must include 5G features in their industrial digital solutions, creating unique functionalities that appeal to the target market.
More robust security through machine learning
Edge computing solutions are getting more complex, employing diverse IoT networks to handle data efficiently. The increasing diversification and distribution of these networks presents more entry points for unscrupulous actors, threatening data integrity and security.
CTOs are keen on more robust cybersecurity features and tools. Moving forward in 2022, machine learning (ML) is being integrated into various data security solutions. The technology lends itself well to augmenting data security by learning patterns and identifying deviations.
For instance, numerous cybercriminals utilize similar malware packages to access systems illegally. Machine learning can identify patterns exhibited by these packages, detecting them much faster for timely security intervention. And because the artificial intelligence learns, it can identify other malware forms, making cybersecurity more comprehensive and robust.
The advent of Edge Mesh
Industrial operations require fast analytics to deliver real-time insights to inform decision-making. Edge computing has morphed towards fitting IoT devices with analytic capabilities. Bringing data analysis closer to the local source provides specific insights more efficiently.
This is particularly so with artificial intelligence-enabled edge devices enhancing automation processes at the local level instead of a more distant data center. In 2022, machine- and edge-adjacent data processing and analysis takes on a more innovative and efficient face – Edge Mesh. This technology makes edge computing more powerful by allowing various edge devices to interact and initiate action based on their individual analyses.
The ‘mesh’ of interconnected edge devices makes for more comprehensive and efficient industrial data analysis – a significant plus point for Industry 4.0 manufacturing operations.
What is the way forward?
Industrial engineering digital solutions are set for growth in 2022 with the adoption of more advanced infrastructure. This applies to more established enterprises and smaller operations.
Earlier trends like virtual and augmented reality still hold firm, providing even more value when paired with the more recent advances. Therefore, CTOs, product engineers and developers should plug into these trends to get an edge on the competition.
Gerald Ainomugisha is a freelance Content Solutions Provider (CSP) offering both content and copy writing services for businesses of all kinds, especially in the niches of management, marketing and technology.