Hybrid models redefine business efficiency

Hybrid models combining Edge Computing and cloud are redefining business efficiency. Global spending on Edge Computing is expected to reach $378 billion by 2028.

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The hybrid model that combines

cloud and Edge Computing is becoming the new standard for organizations seeking to digitally scale without compromising operational stability or efficiency.

This approach addresses the need to process data in real time and ensure operational continuity in critical environments.

By reducing latency and enabling greater autonomy, it allows for immediate decision-making at the point where data is generated, without relying on a constant connection to the cloud.

Growth Projections

According to projections from Gartner for this year, 75% of business data will be processed outside of traditional data centers or the cloud, reflecting a shift toward more distributed and efficient hybrid models.

This trend is particularly relevant in industries such as mining, energy, healthcare, and retail, where immediacy and continuous availability are critical elements.

Impact on Productivity

The significance of this technology lies in its ability to facilitate the implementation of solutions such as artificial intelligence and predictive maintenance, positively impacting productivity and energy efficiency.

It is based on micro data centers distributed at the network’s edge, close to where data is generated, thus reducing latency and increasing operational autonomy.

Investment Outlook

In fact, an IDC study (2024) estimates that global spending on Edge Computing solutions will reach $378 billion by 2028, driven by the need for real-time analytics, advanced automation, and increasingly demanding user experiences.

This growth anticipates a profound transformation in digital infrastructure, where more workloads will be managed at the edge, requiring new capabilities for local processing, artificial intelligence, and GPU compatibility.

According to José Luis Leyva, Edge Computing and Alliances Specialist for Schneider Electric in South America:

“This technology reduces latency and ensures greater operational autonomy, which is crucial for critical applications that cannot rely on a constant connection to the cloud. The proximity of data and its processing improves efficiency and enables real-time decision-making.”

Modular Solutions

In response to this need, Schneider Electric has developed modular Edge Computing solutions that integrate physical infrastructure, remote monitoring, cybersecurity, and intelligent energy management. These platforms are designed to support business digital transformation in environments requiring high availability and constant performance.

Leyva explains:

“Having a robust and secure architecture allows organizations to operate more agilely and resiliently, especially in critical applications that require maximum availability and speed in decision-making.”