Quadrant Knowledge Solutions’ Market Insights research on “Industrial Internet of Things (IIoT): Edge Computing as a Competitive Differentiator” provides detailed insights to users about the use of edge computing and the advantages of integrating edge computing into their IIoT platforms that would act as a differentiating factor to support a wide variety of use cases.
The potential of edge computing to provide independence to IoT devices for data management and analysis makes it the technology of choice for Industrial IoT in the future. Edge computing is an emerging technology that uses the capabilities of smart devices to address some of the major problems the IoT ecosystem is now experiencing.
According to Ignatius Daniel T, Analyst at Quadrant Knowledge Solutions, “The emergence of edge computing in the technology market space paved the way for technology vendors in the IIoT market to leverage its full potential. The capabilities of edge computing, such as low latency, high computation power, and distributed computing architecture, bring computation and data storage closer to the devices and users for more efficient data processing and improved security.”
Table of Content:
- Introduction of Edge Computing in the IIoT Market
- Edge Architecture
- Leveraging Edge Computing as a Differentiator
- The Last Word
This Market Insights report is a part of Quadrant’s Industrial Internet of Things (IIoT) Platform.
Author: Ignatius Daniel T, Analyst, Quadrant Knowledge Solutions.
Narayan Gokhale, Associate Research Director, Quadrant Knowledge Solutions.
