Edge computing is transforming how data is handled, stored, summarised, and converted from a single electronic device to a range of devices located all over the world. The convergence of mobile and many other physical devices over a control panel or network is known as Edge Computing. All of these devices can send and receive signals to and from the main server, as well as between each other. By combining data from a number of systems, we can access a greater amount of data that, after more filtering, can serve as a crucial insight for a company's operations. Because of its promise, the Internet of Things is gaining momentum in all industries. Edge computing was created in anticipation of the rapid growth of Internet of Things (IoT) devices. Furthermore, the rise of autonomous vehicles and connected car networks, as well as the need for lightweight frameworks and systems to improve the performance of edge computing solutions, are expected to open up numerous opportunities for edge computing vendors.
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Key Driving Factors: IoT adoption is increasing across sectors, which is a driving force.
Because of the proliferation of IoT, organisations are increasingly relying on centralised cloud computing and storage solutions to handle their data. Migrating the entire IT infrastructure to the cloud raises concerns about latency and expense. As a result, businesses that use IoT sensors, actuators, and other IoT devices are gradually turning to edge computing solutions like edge nodes, devices, and hyper-localized data centres. Edge computing complements the current cloud model by taking data analysis closer to the data source, allowing companies to make quicker decisions. Purdue University, for example, collaborated with an edge computing solution provider to research and develop plant growth and food production processes using IoT sensors and software. With the collaboration, the university can now capture, collate, process, and distribute the voluminous data generated by the sensors using wireless and edge computing technologies. As a result, the innovations assist the university in saving time and money by speeding up and improving the accuracy of their study and promoting quick communication.
This report offers the major market player’s profiles, such as Cisco, HPE, Huawei, Unit4, Dell Technologies, Microsoft Corporation, NOKIA, IBM, Foghorn Systems, and Machine shop
Opportunities: Lightweight architectures and systems to increase the performance of edge computing solutions are future opportunities.
Cloud computing has begun to move from being centralised to being autonomously distributed, thanks to edge computing. Many businesses are responding by establishing local edge data centres that are closely linked to their cloud resources. However, high cloud storage reliability and resource constraints in such edge data centres, such as processing power, primary memory, and storage, pose reliability concerns among enterprises. These cloud-connected local edge centres can lose communication with the centralised centres as well. As a consequence, they should be able to run independently in the event of a network failure.
Part covers, hardware, platform, and services are all covered in the edge computing industry. Because of the large-scale deployment of hardware components for decentralising storage and computing operations, allowing extensive edge infrastructure deployment, and reducing network traffic, the hardware component is expected to hold the largest market growth over the forecast period. In the ultimate edge computing phase, organisations provide advanced edge computing hardware that works as an initial point of data source (edge devices), a networking facilitator (gateways and servers), or a storage and local processing unit (local data centres).
The Edge Computing market report has been categorized as below
Based on Organization sizes
Based on Verticals
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Published Date : March-2021