Quoting IFR Service Robot Figures in a Board Memo

What the IFR figures say in one sentence

According to the International Federation of Robotics (IFR), global shipments of professional service robots rose 24% in 2025 to nearly 250,000 units. The figures come from IFR's World Robotics 2026 Service Robots release, published on 30 September 2026, and IFR presents them as industry-body data.

That sentence is the one a board memo should carry. It is attributable, it is current, and it stays inside what the sample can support. Every other line in the memo should either explain it or mark its edges.

The figures also come with a mix, a set of caveats, and a few numbers that look tempting but are not safe to repeat. The rest of this piece sorts those out so a finance committee can read the memo without finding an overreach halfway down the page.

A four-block memo structure that stays accurate

A serviceable memo section fits on one page and reads in under a minute. It needs four blocks in a fixed order, because the caveat has to land before the decision does, so no reader reaches the implication without meeting the limits.

• Lead line: the 24% rise to nearly 250,000 units, attributed to IFR by name.
• Mix line: transport and logistics as the largest application, with its 47% share.
• Caveat line: the 238-supplier sample, and the fact that results are not projected to the whole industry.
• Decision line: the specific task or site question the committee is weighing.

Where transport and logistics fit the 2025 mix

Transport and logistics was the largest application in 2025. A trade outlet that summarized the IFR release reported that the segment shipped 117,500 units, up 21%, for a 47% share of the total. Cite that outlet next to IFR, since it is the source for the segment figures.

The same IFR release reported medical robots up 19% and consumer service robots up 37%. IFR also counted about 7,000 full-size humanoids, those above 140 cm, sold in 2025.

A large share in a sample tells a committee where suppliers shipped the most units. It does not tell a facility where it will gain the most. Those are different questions, and the memo should say which one the figures answer.

What the cleaning context can and cannot support

Cleaning is where many operators will want to land, since floor care is the category closest to daily facility work. One trade summary of the IFR presentation placed professional cleaning third among applications, behind hospitality, with floor cleaning as its main use. We could not confirm that ranking against the IFR release text, so check the full report before citing it.

The same summary gave a percentage rise for cleaning sales. We could not find that figure in the IFR release, so it stays out of this memo. If a committee asks for a cleaning growth number, the honest reply is that it has to come from IFR's full World Robotics report, cited by page.

Caveats that must travel with every IFR figure

The figures come from a sample of 238 service robot suppliers, and they describe that sample. They are not projected to the whole industry. A board should not read them as total market size, nor as the number of service robots working in US facilities today.

These are industry-body figures compiled by IFR, not vendor claims. The distinction matters when a supplier in the room cites its own growth. A sample of suppliers and one company's sales report answer different questions, and a memo that blurs them will not survive a skeptical director's first question.

Why year-over-year comparisons are off limits

The sample composition changes from year to year, so the 2025 result cannot be lined up against earlier World Robotics reports. IFR advises against compiling or comparing data across different reports. A committee member who asks whether 24% is faster than last year deserves a plain answer: the data does not support that comparison.

Frame the figure as a single-year snapshot. A snapshot is still useful for showing that demand exists in the category. It cannot establish a trend, and it should never be stretched into one.

Wording swaps for a board draft

Small wording changes prevent most overreach. Each swap below keeps the IFR number and removes the generalization it implies, and together they cover the most common mistakes in board drafts.

• Avoid: 'The robot market grew 24%.' Use: 'IFR's sample of 238 suppliers reported 2025 shipments up 24%.'
• Avoid: 'Transport robots now dominate.' Use: 'Transport and logistics was the largest application in IFR's 2025 sample, at a 47% share.'
• Avoid: 'Our facility will see the same gains.' Use: 'The sample shows where suppliers shipped most, and gains at your site depend on a site assessment.'

Connecting the data to a site decision

The 47% transport share is a reason to look at how material and supplies move through your building. It is not a reason to commit to a category. Service Robot Co. is a full-service commercial robot integrator for US businesses, and we are OEM-neutral, so we match the robot to the task across manufacturers before recommending anything.

We work through robot lease options only, financed on a three-year lease. The lease is quoted as one fixed lease quote after a site assessment, and each unit is serviced under RoboCare(TM), our service coverage, backed by regional service engineers in every state we serve. For a committee, that means one partner and one quote to compare, rather than a stack of vendors.

What to ask the committee for

A narrow request tends to survive a committee better than a broad one. Ask for a site assessment on one task area, then return with a fixed lease quote the committee can set against the labor and downtime it would offset.

The IFR figures frame the question, and the site data should answer it. Quote the sample, name the source, and keep the claim no larger than the data.