Edge Computing Is Quietly Eating the Cloud
Edge computing hit $89B and is growing faster than cloud ever did. Here's why latency-sensitive apps are moving processing closer to users.
The Latency Problem Cloud Can't Solve
Cloud computing centralizes processing in massive data centers. That works brilliantly for email, file storage, and batch analytics. It works terribly for autonomous vehicles, industrial robotics, augmented reality, and real-time gaming — anything where a 50ms round trip to a data center is 50ms too slow.
Edge computing moves processing closer to where data is generated. Instead of sending sensor data to AWS, an edge server in the same building processes it locally. The global edge computing market hit $89 billion in 2025 and is growing at 37% annually — faster than cloud's peak growth rate.
Who's Building the Edge
The big cloud providers aren't ignoring this. AWS Outposts, Azure Stack Edge, and Google Distributed Cloud all offer edge solutions. But the more interesting players are telcos like AT&T and Deutsche Telekom, who are repurposing their cell tower infrastructure as edge computing nodes. They already have real estate within miles of every user.
Fastly, Cloudflare, and Fly.io offer "edge functions" — serverless computing that runs in 300+ global locations, bringing computation within 20ms of any user on Earth.
The Hybrid Future
The future isn't edge OR cloud. It's intelligent workload distribution: latency-sensitive tasks at the edge, compute-intensive training in the cloud, with an orchestration layer deciding where each operation runs. The companies that build that orchestration layer will own the next decade of infrastructure.