How Edge Computing Can Transform Enterprise IT: A Balanced Perspective

“The edge will eat the cloud. And this is perhaps as important as the cloud computing trend ever was.”—Tom Bittman, Vice President and Distinguished Analyst at Gartner Research

For IT leaders still navigating cloud adoption, Bittman’s words may seem alarming. However, the investment in cloud infrastructure remains valuable and, in many cases, essential.

Rather than signaling the end of cloud computing, the rise of edge computing offers a complementary strategy that addresses cloud’s remaining limitations—particularly latency, bandwidth, and real‑time processing.

Even if your cloud deployment is not yet fully optimized, understanding edge’s role is crucial. Below we explain why edge is gaining traction and how it can coexist with cloud.

Why Enterprises Need Edge Computing

Cloud platforms deliver centralized control, self‑service provisioning, automated data workflows, and economies of scale. Yet, they are not a one‑size‑fits‑all solution.

Latency remains a key challenge. Data must travel from end‑users to distant data centers and back—a round trip that can cost 100–200 ms. For latency‑sensitive workloads—think real‑time analytics, AR/VR, or autonomous vehicles—even a few milliseconds can degrade user experience or safety.

Edge computing tackles this by performing data processing closer to the source—on the device or a local node—cutting round‑trip times to under 10 ms. Gartner predicts that by 2025, 54% of enterprises will rely on edge for critical workloads.

What Is Edge Computing?

Unlike cloud’s centralized model, edge pushes compute, storage, and networking to the network’s perimeter. Applications no longer need to queue requests to a remote data center; they can respond locally.

While the performance gains may seem modest in absolute terms, they are decisive for emerging technologies: IoT sensors streaming millions of events per second, AR/VR experiences that require sub‑10 ms latency, and AI inference at the edge for instant decision‑making.

Implementing edge does not require abandoning cloud. Many vendors now offer hybrid solutions that orchestrate workloads across both environments, ensuring each task runs where it performs best.

When to Adopt Edge

Adoption timing depends on business needs. If your workloads are largely transactional, inventory‑driven, or can tolerate higher latency, the cloud remains the optimal choice. Edge becomes essential when:

• Data must be processed locally before transmission.
• Network connectivity is intermittent or costly.
• Real‑time analytics or control loops are critical.

Even as edge matures, cloud will continue to dominate for data warehousing, advanced analytics, and long‑term storage.

For IT professionals, the key is incremental integration—start with pilot projects, evaluate performance gains, and expand as value is proven.

Ready to deepen your cloud expertise before embracing edge? Join our free on‑demand webinar, How to Become a Cloud Broker, to learn practical strategies for modern cloud operations.