25 GB per hour: this is the average volume of data generated by an autonomous vehicle.
$100,000: this is the hourly cost of a production halt in a smart factory due to a sensor failure.
These numbers are impressive — yet very real.
As connected devices multiply at a rapid pace, real-time data processing becomes a necessity. Latency is now a luxury that no one can afford.
In this context, a powerful yet discreet architecture becomes crucial: Edge Computing.
What is Edge Computing?
While the Cloud remains a pillar of IT architecture, its limits are becoming evident. Edge Computing brings computing power closer to data sources — sensors, cameras, vehicles, machines.
Benefits include:
- Latency reduced to a few milliseconds
- Lighter use of bandwidth
- Improved resilience and responsiveness
Combined with IoT, Edge Computing enables powerful and responsive systems that are already transforming entire sectors — especially in the United States.
3 practical use cases in the U.S. market
Smart Retail (Walmart)
Edge sensors instantly adjust lighting, temperature, and inventory management without relying on remote data centers.
Result: reduced energy consumption and improved customer experience. (Source: Forbes)
Connected Mobility (UPS, FedEx, Smart Cities)
Onboard and roadway sensors allow real-time adaptation of delivery routes and traffic management.
Where the Cloud takes seconds, Edge reacts in milliseconds. (Source: ResearchGate)
5G & Telecom (Verizon, AT&T)
Micro data centers are deployed at network edges to enable remote surgery, immersive gaming, or predictive maintenance.
Only Edge can provide the required speed and reliability. (Source: Verizon Business)
Why this acceleration now?
- IoT explosion: over 500 billion connected devices expected by 2030 (Statista)
- Cloud limitations: bandwidth, security, latency
- Mature ecosystem: widespread 5G, Edge zones, culture of innovation
A strategic opportunity for IT players
Edge Computing does not replace the Cloud — it complements it. This new architectural layer enables:
- Real-time processing
- Increased local autonomy
- Hybrid Cloud + Edge models
It also requires new expertise:
- Distributed systems architects
- IoT cybersecurity specialists
- Real-time data engineers (Source: Verizon Business)
Our vision at Astek
At Astek, we don’t see Edge as a trend, but as a pragmatic evolution.
Edge Computing allows our clients to process critical data directly at the source, without compromising performance, sovereignty, or confidentiality.
We support companies in implementing these hybrid infrastructures, combining our cloud-native expertise with robust, sector-specific Edge solutions (industry, mobility, healthcare, etc.).
Our goal: to build intelligent, resilient, and sustainable systems, aligned with today’s operational needs and ready for tomorrow’s innovations.

