Robotics in Manufacturing

Automation and output

Do robots really run 24/7? The measured runtime is far lower

The median factory machine runs 32% of the time. Robots are sold on the opposite: never sleeping, three shifts a day, seven days a week.

The gap between the two is the story. Measured across more than 3,000 tracked machines, the weighted average runtime was 54.5% and the median was just 32.0%. Even the machines that run the most fall well short of around the clock.

This page traces the runtime figures to their source, is honest that this is machine runtime rather than a robot-specific number, and explains why the 24/7 claim is a ceiling rather than a typical result.

Data covers Manufacturing machine runtime benchmark, over 3,000 tracked machines. Last reviewed by a human editor before publication.

The figures and where they come from

Each figure is rated for how safely you can cite it today. Ratings judge current usability, not whether a number was ever correct.

FigureWhat it isSourceCitation ConfidenceNotes
54.5%Weighted-average machine runtime[A]MediumThe weighted average across the benchmark. This is machine runtime, a broad proxy, not a robot-specific figure, but it is measured data on how much equipment actually runs.
32.0%Median machine runtime[A]MediumThe median machine ran less than a third of the time. Half of the tracked machines ran even less than this.
3,000+ machinesMachines in the benchmark[A]HighThe size of the tracked fleet behind the runtime figures.

Why the numbers disagree

The 24/7 claim and the 32% median are not really about the same thing. 24/7 describes what a robot is capable of, running without a break, while runtime describes what actually happens once you account for changeovers, maintenance, breaks in demand, upstream and downstream stoppages, and the many reasons a machine sits idle. Capability is a ceiling; runtime is the result.

There is an honest data gap here worth stating plainly. We could not find a published, robot-specific utilization figure from an independent source. The best measured data available is manufacturing machine runtime, which covers all equipment, not robots alone. A robot cell may run more or less than the machine average, so we treat this as a proxy, not a precise robot number.

Even as a proxy, the gap is large enough to matter. A pitch built on around-the-clock operation, when the median tracked machine runs 32% of the time, is describing a best case as if it were the norm. The right way to read 24/7 is as the maximum a robot could run, not what a typical installation does.

How to cite these figures

Treat 24/7 as a capability, not an expectation. A robot can run around the clock; whether it does depends on demand, changeovers, and the rest of the line.

For measured runtime, cite the benchmark: a weighted average of 54.5% and a median of 32.0% across more than 3,000 tracked machines, and note it is machine runtime, not a robot-only figure.

If you need a robot-specific utilization number, say plainly that no independent published figure exists, rather than borrowing the machine-runtime number and calling it a robot figure.

Where people go wrong

Selling or citing 24/7 as typical output. It is a ceiling; the median tracked machine runs about a third of the time.

Presenting machine runtime as a robot-specific figure. The benchmark covers all equipment, and a robot cell can differ from the machine average.

Assuming idle time is wasted capacity that a robot fixes. Much of it comes from demand, changeovers, and upstream and downstream stoppages that a robot alone does not remove.

How we checked

The runtime figures trace to a manufacturing machine-runtime benchmark of more than 3,000 tracked machines, which we fetched and confirmed carries the 54.5% weighted average and 32.0% median in its text.

We looked for an independent, published, robot-specific utilization figure and did not find one. Rather than borrow the machine-runtime number and quietly relabel it as a robot figure, we state the gap: robot-specific utilization is essentially unmeasured in public data, and machine runtime is the closest available proxy.

The source is a vendor of machine-monitoring software, so it has an interest in highlighting untapped capacity. We use only the measured benchmark figures, not any surrounding sales framing, and we present them as a proxy with its limits stated.

Full source list

Primary sources, with live links. Every figure above traces to one of these.

  1. [A]GuidewheelAccessed July 14, 2026

    Guidewheel, manufacturing machine runtime benchmark (over 3,000 tracked machines), reported in "Understanding OEE"

    https://www.guidewheel.com/blog/understanding-oee-meaning-overall-equipment-effectiveness-in-manufacturing

Common questions

Do industrial robots really run 24/7?
They can, but they usually do not. The best measured data on manufacturing machine runtime shows a median of 32% and a weighted average of 54.5% across more than 3,000 machines. 24/7 is a ceiling, not a typical result.
Is there a robot-specific utilization number?
Not one we could find from an independent published source. The available measured data is machine runtime, which covers all equipment. We treat it as a proxy and say so, rather than presenting it as a robot-only figure.
Why do robots run so much less than 24/7?
Changeovers, maintenance, breaks in demand, and stoppages upstream or downstream of the robot all cut into runtime. Around-the-clock capability rarely translates into around-the-clock operation.
What is the difference between runtime and 24/7 capability?
24/7 is what a robot could do without a break. Runtime is what actually happens once you account for the real conditions of a production line. The measured median runtime is about a third of the time.

More data, traced to source