Edge computing gains momentum for operations in critical environments

July 7, 2025 2 min read

Edge Computing is redefining digital infrastructure, enabling critical real-time decisions, and strengthening operations in demanding sectors such as mining, healthcare, energy, and retail.

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An increasing number of organizations are adopting hybrid models that combine cloud and Edge Computing as a strategic approach to digitally scale without compromising operational stability or efficiency.

This architecture enables real-time data processing and ensures business continuity, particularly in critical environments.

By reducing latency and enhancing autonomy, Edge Computing allows decisions to be made at the point of process origin, without reliance on a constant cloud connection.

This capability is essential for industries such as mining, energy, healthcare, and retail, where immediacy and uninterrupted availability are paramount.

According to Gartner projections, 75% of enterprise data will be processed outside traditional data centers or the cloud by this year, signaling a clear shift towards more efficient distributed models.

Technology Closer to the Data.

This approach also accelerates the adoption of technologies like artificial intelligence and predictive maintenance, directly impacting productivity and energy efficiency.

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The key lies in micro data centers located at the network edge, close to the data generation sites, which reduces response times and boosts operational autonomy.

An IDC report (2024) estimates that global spending on Edge Computing solutions will reach $378 billion by 2028.

This growth is driven by the demand for real-time analytics, advanced automation, and more sophisticated user experiences.

The trend forecasts a profound transformation in digital infrastructure, with an increasing number of workloads managed at the edge, requiring local processing capabilities, artificial intelligence, and GPU compatibility.

Solutions for Critical Environments.

As explained by José Luis Leyva, Edge Computing and Partnerships Specialist for South America at Schneider Electric:

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

In response to this evolution, 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 digital transformation in environments demanding high availability and consistent performance.

Leyva emphasizes:

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