Hospital Logistics Robots: Reading the $919M Forecast Critically

What the $919M forecast actually says

Future Market Insights (FMI) estimates the hospital logistics and delivery robot market at USD 919.0M in 2026, rising to USD 6,993.0M by 2036 at a 22.5% compound annual growth rate. The same report puts 2025 at USD 750.2M. These are the publisher's estimates, not measured sales, and that distinction matters more than any single growth rate.

Inside the 2026 figure, hardware accounts for 56.0% of revenue. Autonomous tugs and carts make up 44.0% of robot-type demand, and medication delivery is 30.0% of application demand. Those splits show where the money is expected to flow, not what any one site will spend.

How the number was built, and what it leaves out

FMI describes a hybrid of bottom-up and top-down sizing. It draws on primary interviews with manufacturers, service providers, procurement teams and end users, plus government statistics, company disclosures and hospital deployment records. Those are sound inputs, but the output is still a model, and it depends on adoption assumptions that nobody has observed in full yet.

The scope is narrow in some directions and broad in others. It covers autonomous robots moving medications, lab specimens, linen, waste, food and supplies, and it excludes surgical, rehabilitation and general industrial robots. The United States is projected at a 23.5% CAGR, faster than the global rate. That is encouraging for US buyers, but it is still a projection.

The report profiles ST Engineering Aethon, Diligent Robotics, Swisslog Healthcare, Relay Robotics, Panasonic and KEENON Robotics. Appearing in a market report shows a vendor is visible in this segment. It says nothing about how any of them performs in your building.

Why other forecasts for the same segment disagree

Other publishers size this segment very differently. Market Research Intellect estimates USD 688M for 2026 and USD 2.42B by 2035, a 15% CAGR. Global Growth Insights puts 2026 at USD 2.91B and reaches USD 9.28B by 2035 at 13.77%.

Those gaps come from scope, base year and method, not from one publisher discovering a hidden truth. One publisher's segment is broader than another's, and their starting years differ. Before comparing any two forecasts, check what is counted, which year anchors the estimate, and how the figure was built.

What a market forecast cannot tell a community hospital

A market size tells you that money is moving toward a category. It cannot tell you whether a corridor with two elevators, a shared service lift and a night pharmacy will pay back. It also cannot say how many of your trips are short and frequent enough to justify a robot at all.

Labor is the pressure point the forecast leans on. FMI cites the American Hospital Association, which reported that hospital labor costs reached USD 890 billion in 2024, 56% of total expenses. That is a national figure. It explains why administrators look hard at logistics staffing, but it does not tell a single hospital what its own labor hours cost or where they go.

What peer-reviewed studies have measured so far

A six-month study at a tertiary hospital, running from June 1 to November 30, 2025, used 10 autonomous mobile robots for drug and specimen delivery. Robot delivery cut delivery time by 32% to 36% compared with manual delivery, with p < 0.001. The 10-robot fleet completed 7.3 times as many trips as 19 manual workers.

The monthly detail is more useful than the headline. Pharmacy to ward averaged 31 minutes by hand and 21 minutes by robot. Ward to laboratory averaged 38 minutes manually and 23 by robot. System uptime rose from 94.2% in June 2025 to 99.0% in November 2025, and uptime is often the number that decides whether a pilot survives its second month.

Read it with care. This is one site, and its 10-year net savings projection of 6.928 million RMB in the baseline scenario comes from the study's own model, not a verified ledger. The feasibility work that matters most for a buyer is the breakdown: elevator operating rate, waiting time and travel time, recorded per mission.

How to weigh vendor-reported results

Vendor numbers are leads, not evidence. Diligent Robotics reports that Moxi has operated in more than 25 hospitals, saving nearly 600,000 staff hours through more than one million completed tasks. Those are company figures, and the hospitals behind them are not all described in a way a reader can audit.

Hancock Regional Hospital in Greenfield, Indiana, offers a more specific picture. According to an October 2025 release from Arrive AI, a medical assistant had been spending at least 90 minutes a day on specimen walks, and the vendor says the system cuts time away from patients by at least half. Ask for the baseline behind that claim before repeating it. At HCA Florida JFK Hospital in Atlantis, Florida, Relay Robotics robots carry lab specimens, pharmacy orders and telemetry equipment, according to PYMNTS. That describes the use case, not the throughput.

Which operating numbers to collect instead

Before any vendor conversation, collect two or three weeks of baseline data on the runs you actually want to automate. Keep the list short enough that staff will really log it:

• Door-to-door time for pharmacy, lab and supply runs, recorded as median and 90th percentile
• Elevator wait and ride time per trip, split by shift
• Share of trips short and frequent enough to justify a robot
• Staff walking hours per route, logged rather than estimated
• Weekly uptime and exception count, including every stop that needed a person
• Delays or handling errors for specimens and medications, grouped by category

Where Service Robot Co. fits in a pilot

Service Robot Co. is a full-service commercial robot integrator for US businesses. We are OEM-neutral, so we select the right robot across manufacturers for the route in front of us, then finance, deploy, integrate, train and service every unit through a nationwide US engineer network. One vendor covers the full lifecycle, which keeps baseline data and service history in one place.

We lease robots only, on a 3-year lease, with one fixed payment quoted after a site assessment. That assessment is a practical point to capture the baseline numbers described above before anyone commits to a fleet size.