The US Maintenance Economy
The Economic Foundation: US Maintenance Activity
US Maintenance, Repair and Operations market, 2025–2030
Published 2025 and 2030 values with intermediate years interpolated at the implied 1.77% CAGR.
Source: Research and Markets summary of Mordor Intelligence research · Base year 2025 · Forecast period 2025–2030 · Accessed 2 August 2026
US maintenance workforce
These figures show the scale of the human execution environment to which guided procedures, controlled approvals and automated evidence capture can apply.
1.47M
Repair and maintenance industry employment
June 2026 · US Bureau of Labor Statistics
3.26M
Other installation, maintenance and repair occupations
May 2025 · US Bureau of Labor Statistics
541,070
Industrial machinery installation, repair and maintenance workers
May 2025 · US Bureau of Labor Statistics
608,100
Projected annual openings across installation, maintenance and repair occupations
2024–2034 projection · US Bureau of Labor Statistics
The workforce figures are not added to the software TAM. Industry and occupational series measure different populations and must not be summed.
Labour-cost exposure calculator
An editable model of the administrative time surrounding procedure-based maintenance work and the portion that could be recovered as productive capacity.
Illustrative assumption — editable.
Modelled output
CalculatedAnnual workflows = technicians × workdays × workflows per day
Annual administrative hours = annual workflows × minutes per workflow ÷ 60
Potential hours saved = administrative hours × time-reduction percentage
Hourly labour cost = annual compensation ÷ productive hours
Recoverable labour value = potential hours saved × hourly labour cost × recoverability percentage
This is an illustrative productivity model. It is not a representation of an existing TorqueSpec AI customer result.
Maintenance-event funnel
Each stage applies an adjustable conversion percentage to the stage above it, showing how a large physical asset base narrows to evidenced events.
Conversion from previous stage: 65%
Conversion from previous stage: 55%
Conversion from previous stage: 35%
Conversion from previous stage: 40%
Conversion from previous stage: 25%
Illustrative assumption — editable.
Modelled output based on selected assumptions. No stage represents observed customer data.