U.S. factories run at 54.5% uptime. The average plant can't see why.

2026 Factory Uptime Report - data from 75 million machine-minutes captured by AI-powered clip-on sensors reveals where the hidden hours actually live.

Key findings

The headline 54.5% weighted uptime hides a 31-point gap between the typical machine and the top quartile. Same equipment classes, very different operations.

48% of measured downtime sits in three under-instrumented categories (electrical, material, and staffing), more than 2x mechanical breakdowns combined.

The same crew running the same changeover sees a 57% shift-to-shift spread. Variability, not duration, is what destroys schedule reliability.

What you'll learn

Where your industry actually sits, ranked across 11 sectors, from Household Goods at 95.9% uptime down to Pet Products at 2.9%, with the biggest recoverable hours clustered between 16% and 47%.

Why mechanical-first maintenance programs only fix one fifth of the problem, and what the three quieter loss categories look like on the floor: air pressure drops, sensor faults, late material deliveries, missing operators.

The three-move playbook used by top-quartile plants: see every minute without an IT project, let AI do the Pareto, and catch drift before it's downtime. Plus a benchmark card you can use in your next operations review.

Ready to start reducing controllable downtime?

Let’s talk about how Guidewheel helps you catch issues early, take action fast, and keep your lines running smoothly.

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