Predicts 2022: The Distributed Enterprise Drives Computing to the Edge
Gartner Report
A booming data production…
In its recent report, “Predicts 2022: The Distributed Enterprise Drives Computing to the Edge”1, “Gartner forecasts that the number of Internet of Things (IoT) devices will triple from 2020 to 2030. Consequently, edge-generated data is growing significantly in terms of volume and diversity. Gartner estimates that by 2025 more than 50% of enterprise-managed data will be created and processed outside the data center or cloud. In addition, Gartner highlights that there is a “need to extract and preserve greater value from sensor data at the edge since, today, 99% of raw sensor data is discarded”.
Requiring new network topology…
To meet these challenges, Gartner says “digital transformation “necessitates extending and distributing the digital enterprise to the edge — where customers and employees, and buildings and enterprise assets are located — and connecting everything and everyone digitally”, rather than “sending it all back to the core data center or cloud”.
Gartner assesses that “edge computing will be addressed at all layers of the topology (between the cloud and the device edge), but edge computing on-location (embedded, edge gateways, edge servers) will remain a growing paradigm”.
To face scalability issues.
Gartner reports that “data at the edge and in Io-T devices represents a volume problem, a latency problem, a bandwidth problem and a cost problem” and that the “the rapid increase in data production at the edge will shift the balance to reducing bandwidth costs by bringing more compute power closer to the point of data production”. Gartner thus estimates that “by 2025, bandwidth cost will be the primary driver for new edge computing deployments, versus latency in 2021”.
WHO should read it and WHY?
C-Levels, IT Directors, Senior Architects, Operational Technology Managers, as well as Marketing and Product Leaders or Developers can immediately benefit from the concrete guidelines and recommendations shared in this report to maximize edge-deployment success by:
- Learning how to extend the organization’s data management strategy, governance, and practices to include edge-resident data workloads,
- Discovering best practices on how to optimize distributed data-architecture for their use cases,
- Getting guidance to modernize data management and processing capabilities on location-edge computing nodes, and
- Allocating personnel to address edge data requirements and fully embrace data quality, security, privacy, life cycle management and definitions/models into edge environments.
1 Gartner “Predicts 2022: The Distributed Enterprise Drives Computing to the Edge”, By Thomas Bittman, Bob Gill, Tim Zimmerman, Ted Friedman, Neil MacDonald, Karen Brown ,
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
Gartner Disclaimer: :
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.