The economic slump has had both direct and indirect effects on the edge computing sector. Reduced investments, postponed deployments, cancelled client projects, heightened emphasis on cost optimization, the need for edge solutions, the effect on edge device manufacturers, and an emphasis on efficiency and automation are a few of the significant ramifications. The manufacturing industry, which includes the creation of edge devices and sensors, has been somewhat impacted by the recession. Manufacturers may experience supply chain disruptions, price increases, or delivery delays for edge computing gear if there is persistently lower demand or financial challenges. Furthermore, initial infrastructure, hardware, and software investments are usually necessary for edge computing. Organizations are becoming less ready to take on the financial burden of deploying and maintaining edge computing solutions and are becoming more cautious about capital expenditures as a result of the economic downturn. The perceived hazards and uncertainties linked to the adoption of novel technologies could discourage establishments from embarking on edge computing projects.
Data is growing at an exponential rate as a result of increased digitization. The United Nations Economic Commission for Europe predicts that by the end of 2019, data growth will have increased by 350% from 2015. More network bandwidth is needed due to the data traffic's exponential growth. Additionally, it may result in unexplainable network breakdown and congestion. A 27% compound annual growth rate (CAGR) is predicted for cloud data center traffic by Cisco between 2016 and 2021. But by bringing data processing and analysis closer to the source, edge computing's low latency, high bandwidth, and cheap power readily allow businesses to get around these problems. Local edge computing centers select and forward just the essential and mission-critical data to the central data center or cloud, as opposed to forwarding all the data immediately to the centralized storage. Nevertheless, local edge centers also reduce labor by gathering and distributing daily reports regarding the data that is still needed for long-term preservation. As a result, less data travels over the network, which helps to relieve bottlenecks in the network.
In autonomous vehicles, edge computing can facilitate the more precise and efficient use of the gathered data, allowing edge data centers to transfer less important data while keeping crucial data in-vehicle. Edge computing, which provides local processing power to speed up the processing of massive amounts of data generated by autonomous automobiles, can also help attain situational awareness in a fraction of the time when combined with AI and ML. By driving sensibly, you can successfully avoid traffic congestion and avert accidents on the road. The advantages of edge computing are anticipated to encourage more automakers to invest in the technology in the upcoming years, which will further support the growth of the edge computing market.
Research Methodology:
After secondary research provided a fundamental understanding of the worldwide Edge Computing Market scenario, extensive primary research was carried out. A number of primary interviews were carried out with industry experts from the supply and demand sides, including C- and D-level executives, product managers, and marketing and sales managers of major manufacturers, distributors, and channel partners from tier 1 and tier 2 companies offering Edge Computing Market, as well as personnel from academia, research, and CROs. These interviews were conducted across five major regions: North America, Europe, Asia Pacific, and the Rest of the World (Latin America & the Middle East & Africa). Participants from the supply-side and demand-side participated in about 70% and 30% of the primary interviews, respectively. Through the use of questionnaires, emails, online surveys, in-person interviews, and phone interviews, this main data was gathered. The primary participants share is given below:
The segmentation coverage of the study is provided below.
Edge Computing Market based on Component:
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