Enterprise digital infrastructure is shifting to the edge—and a new era of computing that will have a
massive impact across industries is emerging as a result. Now, “edge computing has become a top
priority for C-suite executives and is critical to the success of strategic business objectives,” as IDC
describes in their 2022 report. These leaders are looking to deploy solutions that include emerging
technologies like Internet of Things (IoT), AI, and 5G networks alongside edge technologies as well.
But even with a conceptual understanding of edge computing, it’s difficult to envision how it will shape
the future and drive real value for manufacturers, retailers, hospitals, and other organizations. In this
article, we explore the buying intentions of business leaders; we help you consider strategies and
emerging use cases for technology and workloads at the edge in your own organization as well.
Edge Computing in the Context of Modern Business
Edge computing is the processing of data at or near the source of data collection—instead of in
centralized data centers far away. This addresses the limitations of centralized data centers, which are
struggling to keep up with the demands of today's data-driven technologies at multiple “edge” locations.
Modern edge networks are next-generation wireless networks at these locations, which offer ultra-low
latency and high bandwidth when connecting nearby devices. Edge computing supports optimized on-
site processing and performance for devices and processes beyond what’s possible using centralized
data centers alone. Elements of edge infrastructure may include:
As we will find, these setups support emerging applications like virtual reality (VR), augmented reality
(AR), autonomous vehicles, and industrial IoT (IIoT), which put a lot of demand on IT infrastructure.
Future Edge Infrastructure Has Applications Across Industries
As a modern digital infrastructure and networking solution, edge computing is not just a collection of
solutions but an evolving field with widespread business applications. Edge computing can be used to
improve performance, optimize resources, and reduce latency in any industry. Consider these seven
benefits and how they might apply in your own operations:
Four Industries with Transformative Edge Models
Basic edge computing models have been in place for some time. But advanced edge computing models
are beginning to transform industries, with unyielding potential for more robust and sophisticated
applications. Consider these four industries and use cases where edge computing is already making a
Retailers are already using edge computing to provide a better shopping experience by reducing the
amount of time it takes for in-store digital applications to perform. Edge computing can also improve
customer experiences by providing them with real-time information about products or services.
“To deliver on customer expectations for speed and flexibility, retailers need to bring the applications
and the underlying processing and storage closer to where the data is being created," as MIT
Technology Review describes. "To do this at scale requires edge computing… rather than risking issues
with data transfer speed and bandwidth by uploading all that data directly to the cloud.”
Healthcare provider spending on edge computing will reach $10.3 billion in 2025, with a five-year CAGR
of 17%, Computerworld reports based on 2021 IDC findings. Edge solutions allow hospitals to be more
responsive in their interactions, which leads to better treatment options and better patient care.
Already, hospitals are using edge computing to speed up the time it takes to get test results back to
physicians. Edge computing also provides doctors with real-time information about a patient’s health,
giving them more opportunities to improve patient outcomes.
Manufacturers use edge computing to improve the efficiency of their operations. For example,
manufacturers can use edge computing to automate key factory and supply chain processes, support
advanced robotics, and improve how machines communicate with one another—quickly onsite, rather
than via a centralized network. “[Edge computing] will revolutionize manufacturing as adoption spreads
across the globe,” as Forbes describes.
Edge computing will support better consumer experiences on rail, buses, commercial airplanes, and
other forms of transportation. Edge computing also can support smart infrastructure in cities and
transportation hubs for greater transport efficiency, reduced delays and accidents, and predictive
capabilities that prevent unit degradation and downtime.
In the automotive industry, edge computing “will generate a tremendous amount of real-time data from
self-driving vehicles, driver-monitoring systems, and surveillance cameras for artificial intelligence
algorithms to harness,” as Forbes describes.
Getting Started with Innovation at the Edge
As recently as 2018, “around 10% of enterprise-generated data [was] created and processed outside a
traditional centralized data center or cloud,” Garter reports. Edge computing is poised for massive
growth in the coming years as businesses rush to deploy emerging edge technologies, such as fog nodes,
cloudlets, advanced IoT, and edge AI. “By 2025, Gartner predicts this figure will reach 75%.”
No matter your industry, edge computing will be essential in some capacity. C-suite executives who
understand both the challenges and benefits will get the greatest value from this inevitable future. By
planning today, you can reduce risks and take advantage of countless new opportunities at the edge.
Partner with Uvation for Your Edge Computing Transformation
The edge computing experts at Uvation can help you as you transform your business model to support
more robust edge computing capabilities. Contact us directly to discuss your options today.