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Evolving Technologies like Industrial Internet of Things (IIoT) and Need for Physical Distancing to Benefit the Fog Computing for Industrial Automation Market

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Published on : Apr 28, 2021

Albany, New York, Apr 28, 2021: The fog computing for industrial automation market is moving to the greener side in terms of growth rate and expects to continue the same stance across the forecast period of 2020-2026. Fog is a type of architecture that serves as a bridge between connected devices and cloud. It does not require consistent cloud connectivity in the industry. Fog nodes play an important role in the automation process. They provide networking, computation, storage, and acceleration elements of the fog architecture.

Middleware support is essential for most of the tasks to be performed efficiently. Therefore, fog architecture serves as a great middleware that proves to be useful to various industrial processes to a great extent. Fog architecture also assists in offering local support to robots and actuators in the manufacturing industry. Ergo, these aspects may sow the seeds of growth in the fog computing for industrial automation market.

The fog computing for industrial automation market is consistently moving towards the upper curve due to the rise in industrialization across the globe. Developing as well as developed nations are encouraging industrialization through various initiatives, which can prove fruitful for the fog computing for industrial automation market. The ‘Make in India’ initiative by the Government of India is an ideal instance.

With such initiatives, high-tech manufacturing plants are being set that make use of advanced technologies for increasing production capacity and inculcate efficiency in manufacturing. The report titled ‘Global Fog Computing For Industrial Automation Market Size, Status And Forecast 2020-2026’ hits the bullseye in terms of providing a perfect analysis of the fog computing for industrial automation market scenario.

The report on the fog computing for industrial automation market offers in-depth analysis through considerable research across various parameters such as competitive landscape, key trends, and current scenario. This report also focuses thoroughly on the ongoing COVID-19 pandemic and its effect on the fog computing for industrial automation market. This report will prove as a boon for the business owners and market shareholders to a large extent.

The new coronavirus pandemic has resulted in great losses and it has created havoc across the world, leading to massive economic and human loss. To prevent the spread of SARS-CoV-2, physical distancing has to be strictly maintained. Maximum automation will enable less human-to-human interaction. Hence, the fog computing for industrial automation market expects to gain considerable momentum across the forecast period.

Speedy technological advances have made a mark in the industrial sector. This brings the fog computing for industrial automation market at the forefront. The Internet of Things (IoT) has made a big impact on the industries and has resulted in the advent of the Industrial Internet of Things (IIoT) that refers to making the industrial process a component of the Internet. Other subsets of IoT such as Industry 4.0 can also greatly increase the demand for fog computing for industrial automation market. Massive industrial data is often unstructured. Fog architecture helps to locally trim and refine the industrial data. Hence, this can prove to be a great advantage for fog computing for the growth of the industrial automation market.

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The local processing of data brings a sea change in terms of data transmission. Fog computing brings over a 98 percent reduction in transmission of packet data. It also maintains a 97 percent accuracy rate. Therefore, these factors are serving as efficient steps toward growth for the fog computing for industrial automation market. In addition, fog computing also provides support in real-time decision making at the industrial units on processes like powering off equipment before damage occurrence or providing millisecond-level latency analysis and action. Furthermore, they can add more functionalities such as visualization of production line operations.