The Edge AI Inference Factory Is Here — $350 Billion in Spending by 2027 and the Economics That Make It Inevitable
Edge AI infrastructure spending is projected to reach $350 billion by 2027. The digital twin market is growing from $33.97 billion to $384.79 billion. Singapore's IntelliPdM predictive maintenance system achieves 93-95% fault detection accuracy. NVIDIA's Vera Rubin architecture targets edge inference at scale. The economics are clear: running AI inference at the edge costs 60-80% less than cloud round-trips for latency-sensitive industrial applications.

