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Industrial machinery mechanics

Also called Maintenance technician, Industrial maintenance mechanic, Reliability technician, Plant maintenance technician, Equipment maintenance technician

In brief

In May 2025, BLS counted 439,640 US industrial machinery mechanics, with median pay of $64,520 a year. Of the BLS counts since 2003, the May 2025 count is the highest. The earliest figure here is an estimate of 180,000 from 1900, not measured the same way as today's count. The last full technology era for industrial machinery mechanics: CMMS platforms + IIoT sensors, 2010 to 2022.

What the sources say

Official outlook

BLS projects employment to grow 17.8% from 2025 to 2035.

BLS Employment Projections 2025-35

AI exposure studies

Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. BLS publishes these counts as yearly survey snapshots and cautions against reading them as a precise trend. In May 2021 BLS changed how it estimates these counts (a model-based method using three years of survey data) and moved fully to the 2018 occupation codes, so part of a change across 2021 can come from the method rather than the work.

Last updated .

Cite this page
APA

Future History. (2026, October 11). Industrial machinery mechanics: jobs and pay since 1900 [Data set; data as of BLS OEWS May 2025; BLS Employment Projections 2025-35]. https://futurehistory.earth/timeline/49-9041

Chicago

Future History. "Industrial machinery mechanics: jobs and pay since 1900." Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. Last modified October 11, 2026. https://futurehistory.earth/timeline/49-9041.

BibTeX

@misc{futurehistory_49_9041, author = {{Future History}}, title = {Industrial machinery mechanics: jobs and pay since 1900}, year = {2026}, month = oct, howpublished = {\url{https://futurehistory.earth/timeline/49-9041}}, note = {Last updated 2026-10-11. Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35}, }

The access date is today's date on your device.

drag to travel through time
18251850187519001925195019752000now
Country
2026
Known then as Mill Mechanic / Factory Engine Keeper (steam-engine era)
Known then as Machinist / Factory Mechanic (second industrial revolution era)
Known then as Maintenance Man / Machinery Repairman (interwar manufacturing era)
Known then as Industrial Maintenance Mechanic / Machinery Repairman (postwar mass-production era)
Known then as Industrial Machinery Mechanic / Maintenance Technician (automation era)
Known then as Industrial Machinery Mechanics (BLS SOC 49-9041)
Known today as Industrial Machinery Mechanics (BLS SOC 49-9041)
Projected to still be called Industrial Machinery Mechanics (BLS SOC 49-9041)
Data from the May 2025 survey
US Employment
440K
Est.

Stated in source: BLS OEWS

Official statistic
Report an error
Median Annual Wage
$64,520
Est.

≈ $62,866 in 2024 prices (derived by us, CPI-adjusted)

Official statistic
Report an error
Beat · 1942

World War II transformed industrial maintenance from a secondary craft into a strategic function. The US Department of War recruited experienced industrial mechanics from manufacturers such as John Deere to establish dedicated military maintenance units, and the practices they developed became the foundation of modern planned maintenance. Factories running 24 hours a day for war production could not afford unexpected downtime, which forced the professionalization of maintenance scheduling and recordkeeping.

Beat · 1965

Bently Nevada applied eddy-current technology to create contactless displacement proximity sensors and launched its 5000-series monitoring systems for turbomachinery. This was the first commercially viable technology that allowed continuous real-time monitoring of rotating machinery without physical contact, marking the beginning of what would eventually become the predictive maintenance industry. The technology initially served power plants, petrochemical plants, and large manufacturers with critical rotating equipment; it would take another 20 years before portable vibration analysis reached the typical manufacturing plant.

Beat · 1982

Tecalamet Electronics introduced the AVM-1, the first commercial portable vibration data collector, making vibration analysis practical at ordinary manufacturing plants. Before this, vibration analysis required laboratory-grade FFT analyzers that were expensive and difficult to move around a factory floor. The AVM-1 and its successors allowed a mechanic to collect vibration readings from dozens of machines during a morning route and upload the trends to a desktop computer. The 1982-to-1995 period saw vibration analysis migrate from a specialist function performed by outside consultants into a core skill of the in-house maintenance mechanic at plants serious about reliability.

Beat · 2003

ISO published ISO 18436-2, the first international certification standard for vibration analysts in machinery condition monitoring. The standard formalized the career ladder of the vibration-specialist mechanic into four certification levels (Category I through IV), with Category IV equivalent to expert-level consultant capability. The certification transformed what had been informal craft expertise into a credentialed professional competency, and it established vibration analysis as a named specialty within the broader industrial maintenance occupation. By 2026, ISO 18436-2 certification is listed as a preferred qualification in job postings for reliability engineer and predictive maintenance technician roles.

How to read this number

OEWS is a point-in-time survey snapshot, not a continuous time series; BLS advises against using it for year-over-year trend comparison.

Each dot is a cited figure over time; the dotted line only links them (values between aren't measured). Hollow dots are estimates.

Official statistic: Copied by a script from a statistics agency table or a published study's table, not retyped by hand. BLS figures and the forecast and exposure tables are also re-checked against that table on every data run. Researched context: Researched from the cited source rather than copied from it by a script, so it is not machine-checked yet. Spot a mistake? Each figure has a “Report an error” link.

Cited forecasts · present → 2035

Will AI replace industrial machinery mechanics? What the research says

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, we show the disagreement rather than an average.

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, the spread is the honest signal.

What published forecasts say
Forecast change in the number of people doing this work, as published by each named source. Bars share one scale on every role, centred on zero and reaching the end at ±30%. Grey marks a small change, 3% or less either way.
BLS Employment Projections 2025-35
→ 2035
+17.8%
BLS National Employment Matrix, 2025-35 cycle, line for SOC 49-9041 (Industrial machinery mechanics): 446.9 thousand jobs in 2025, projected 526.6 thousand in 2035, a change of +79.7 thousand (+17.8%). Matrix employment counts all jobs in the occupation, including self-employed workers (1.3% of this occupation in 2025). The average for all occupations in this cycle is +3.5%.
Official statisticReport an error
How exposed is this work to AI (research measures)
Scores as published by each study. Each row says what it measures. These measure what AI could technically do, not forecasts of jobs lost.
Eloundou et al. (2023), "GPTs are GPTs"
2023 study · Share of tasks exposed to LLMs (β, human-rated)
14.5%
of tasks
What this measures

Published occupation-level exposure from the paper's occ_level.csv for O*NET-SOC 49-9041.00 Industrial Machinery Mechanics. Shown: human-rated β = 0.145, the share of the occupation's tasks an LLM could do in at least half the time at equal quality, counting tasks that need LLM-powered software at half weight (β = E1 + 0.5 × E2). Other published measures for this occupation: human-rated α (LLM alone) 0.065 and γ (all LLM-assisted) 0.226; GPT-4-rated β 0.274. This measures how much of the work an LLM could touch, not how many jobs disappear.

Official statisticReport an error
Today, in this role

What's changing day to day for industrial machinery mechanics

Three parts of your work where AI is already doing real lifting, and what stays yours.

AI is sitting alongside you hereManage spare parts procurement: verify AI-generated parts orders against actual machine needs and OEM specifications, flag substitution risks when the specified part is unavailable, and expedite emergency orders for critical failures outside the normal AI-optimized replenishment cycle.

Manage spare parts procurement: verify AI-generated parts orders against actual machine needs and OEM specifications, flag substitution risks when the specified part is unavailable, and expedite emergency orders for critical failures outside the normal AI-optimized replenishment cycle.[6],[2]

Where your edge is

Own deep knowledge of the OEM part specifications for your most critical assets. When a critical machine fails outside normal business hours, the AI queue will not have the emergency part staged -- that judgment call falls to you, and knowing the correct spec from memory makes the difference between hours and a full day of downtime.

AI is sitting alongside you hereInterpret AI-generated predictive maintenance alerts from continuous sensor platforms (vibration, temperature, ultrasonic): triage by asset criticality, validate the AI root-cause hypothesis through direct inspection, and decide whether to schedule repairs or clear the alert.

Interpret AI-generated predictive maintenance alerts from continuous sensor platforms (vibration, temperature, ultrasonic): triage by asset criticality, validate the AI root-cause hypothesis through direct inspection, and decide whether to schedule repairs or clear the alert.[3],[8],[10]

Where your edge is

Learn to read vibration spectra and ultrasonic waveform outputs directly -- not just the alert summary. Understanding the signal behind the AI recommendation lets you override false positives confidently and catch edge cases the model has not seen before.

AI is sitting alongside you hereMaintain slow-rotating critical equipment (rotary kilns, large mixers, calenders, presses at 1-150 RPM): interpret AI ultrasonic diagnostics for bearing failures, refractory looseness, and gear friction

Maintain slow-rotating critical equipment (rotary kilns, large mixers, calenders, presses at 1-150 RPM): interpret AI ultrasonic diagnostics for bearing failures, refractory looseness, and gear friction; plan and execute corrective maintenance before catastrophic failure occurs.[4]

Where your edge is

Ultrasonic monitoring of slow-rotating assets is a new diagnostic layer -- learn what the waveforms for bearing spall, lubrication starvation, and gear tooth damage look like. A single prevented failure on a rotary kiln can justify the full annual maintenance budget and prevent many hours of lost production.

Where industrial machinery mechanics go next

Natural next steps for someone with your foundation: not exits, evolutions.

What each move takes

A direction you could grow

Industrial Production Managers

Experienced mechanics who have overseen maintenance teams and understand production schedules are credible candidates for Industrial Production Manager roles, particularly in plants that have adopted predictive maintenance platforms and need managers who understand both the equipment and the data layer. The main gaps are business and operations management knowledge. Most successful pivots go through a Maintenance Supervisor role first and add business coursework (operations management certificate or MBA) while working.

What you'd add
  • · Operations management fundamentals: production planning, inventory management, lean manufacturing
  • · Workforce supervision: scheduling, performance management, labor relations basics
  • · Financial literacy: reading P&L statements, justifying capital expenditure for equipment upgrades
  • · Formal leadership experience: supervisor or lead technician role as a stepping stone
What it takesA real upskill, but a natural one
Tools of the era

How has the work of industrial machinery mechanics changed since 1820?

The tools that defined the work, one line per era. Select an era to see how it reshaped the work.

  • Hand tools + steam-engine knowledge (preindustrial craft era)

    The earliest industrial mechanics worked with hand tools -- wrenches, hammers, chisels, files -- and the diagnostic approach was purely tactile and acoustic: feeling for vibration, listening for irregular sounds, watching for steam leaks. Knowledge of steam engine mechanics was essential and largely passed through apprenticeship, as no formal training programs existed. The engine keeper or factory mechanic at a New England textile mill in 1840 typically learned the job from an older mechanic, not from a textbook. Repair meant fabricating replacement parts by hand, often at an on-site machine shop that every large factory maintained.

  • Electric motors + electromechanical controls (second industrial revolution era)

    The shift from steam to electric drive in American factories between roughly 1880 and 1920 transformed what the industrial mechanic needed to know. Steam demanded thermal and pressure knowledge; electric motors demanded understanding of windings, contactors, and relay logic. The factories that electrified their production lines in the 1890s and 1900s found that their mechanics had to learn on the job, often with no formal curriculum available. The National Electrical Code was first published in 1897; the first dedicated industrial maintenance training programs at vocational schools followed in the 1910s and 1920s. A mechanic who could troubleshoot both mechanical and electrical faults became distinctly more valuable than one who could handle only one.

    Effect on the work

    Electrification of factories roughly doubled the complexity of the industrial mechanic role by adding an entirely new technical domain (electrical systems) to the existing mechanical skill set. The role began a long evolution from craft generalist to multidisciplinary specialist.

  • Preventive maintenance schedules + formalized maintenance departments

    World War II was the forcing function that transformed industrial maintenance from an informal craft into an organized profession. With US factories running around the clock to supply the war effort, equipment failures had direct strategic consequences: a broken press in a bomb casing plant could delay shipments to the Pacific. The US Department of War recruited skilled mechanics from major manufacturers to establish dedicated military maintenance units, and the practices they developed became the template for civilian factories in the postwar era. By the early 1950s, planned preventive maintenance -- lubricating on a schedule, replacing parts at predetermined intervals, keeping maintenance logs -- had become standard practice at large manufacturers. Japan formalized these concepts further into Total Productive Maintenance in the early 1950s, and American manufacturers adopted similar frameworks through the 1960s. For the mechanic, this era meant the job became recordkeeping and schedule management alongside the physical repair work.

    Effect on the work

    Formalizing maintenance departments created a distinct career path for industrial mechanics with supervision levels (lead mechanic, maintenance supervisor, plant engineer) that had not previously existed. Union contracts at major manufacturers began specifying maintenance mechanic job classifications and wage rates separately from production workers.

  • Portable vibration analyzers + condition monitoring (Bently Nevada, IRD, data collectors)

    The shift from scheduled maintenance to condition-based maintenance depended on instrumentation that could detect machinery faults before they caused failures. Bently Nevada launched eddy-current proximity sensors in 1965 for turbomachinery monitoring. IRD introduced the first commercial portable data collector in 1982, making vibration analysis practical on the plant floor rather than only in a laboratory. By the early 1990s, pocket-sized data collectors with onboard FFT analyzers allowed a mechanic to walk a route through a plant, collect vibration readings from each machine, and upload the data to a PC for trend analysis. The mechanic who learned vibration analysis -- reading frequency spectra for bearing defect frequencies, unbalance, misalignment, looseness -- gained a diagnostic superpower that had not existed a decade earlier. Lubrication analysis, thermography, and ultrasonic testing joined vibration as the toolkit of the reliability-focused mechanic.

    Effect on the work

    Condition monitoring tools allowed a single experienced mechanic to monitor far more machines than scheduled-maintenance approaches allowed, shifting the occupation toward higher skill and analytical capability. Plants that adopted condition-based maintenance typically reduced unplanned downtime while reducing total maintenance labor hours -- a productivity gain that supported employment even as individual mechanics became more capable.

  • PLC programming and CNC machine maintenance (automation era)

    The programmable logic controller (PLC), commercialized by Modicon in 1968 and adopted broadly in manufacturing through the 1980s and 1990s, added a software and control-systems dimension to the industrial mechanic role that fundamentally changed hiring requirements. A mechanic who could only fix mechanical and hydraulic faults was no longer sufficient at a modern automated plant; the person who could troubleshoot a fault in a relay ladder diagram or adjust a CNC machine tool parameter had become essential. Vocational and community college programs added PLC programming to maintenance technician curricula in the late 1980s and early 1990s. By 2000, job postings for industrial maintenance roles routinely listed "Allen-Bradley PLC experience" or "Siemens SIMATIC" as requirements alongside the traditional mechanical skills.

    Effect on the work

    The PLC era bifurcated the maintenance workforce: mechanics who acquired control-systems skills saw wages rise sharply and had strong labor market outcomes; those who did not were increasingly limited to older or simpler equipment. The median wage gap between the top and bottom quartile of the occupation widened through the 1990s and 2000s.

  • CMMS platforms + IIoT sensors (computerized maintenance management systems)

    Computerized maintenance management systems (CMMS) such as IBM Maximo, SAP PM, and later cloud-native platforms like Fiix and UpKeep moved maintenance documentation, work-order management, and parts inventory tracking onto digital platforms accessible from a tablet or smartphone on the plant floor. The Industrial Internet of Things (IIoT) -- cheap network-connected vibration, temperature, and current sensors that could stream data continuously -- extended condition monitoring from periodic manual rounds to constant automated surveillance. For the mechanic, this era meant that a work order now appeared on a phone app with a parts list, safety instructions, and a link to the OEM manual, rather than on paper. The mechanic who could operate a CMMS fluently, read sensor dashboards, and interpret trending data became the standard, not the exception.

  • AI predictive maintenance platforms + agentic PLC tools (Augury, Tractian, Siemens Eigen)

    The current era is distinguished from earlier condition monitoring by the scale and autonomy of the AI layer. Augury, trained on 1.1 billion hours of real machine data from more than a hundred manufacturers, can detect bearing failures, lubrication faults, and gear damage with specificity that periodic manual rounds cannot match. Tractian auto-generates work orders from sensor triggers and provides AI-generated repair procedures. Siemens Eigen Engineering Agent, generally available April 2026, can autonomously write and test PLC code in Siemens TIA Portal at 2-5x human speed. The mechanic operating in this environment is no longer the sole diagnostic agent; AI surfaces the diagnosis, and the mechanic validates it, decides whether to act, and executes the physical repair. The role is shifting from "find the problem" to "verify and fix the problem the AI found." This is augmentation, not replacement: the physical repair layer -- bearing changes, seal replacements, hydraulic cylinder rebuilds -- cannot be delegated to software.

    Effect on the work

    AI predictive maintenance is estimated to reduce unplanned downtime by up to 73% (llumin, 2025) at plants that deploy it fully, which frees mechanic time from reactive firefighting toward strategic asset stewardship. BLS projects growth for 49-9041 through 2034 even with full AI adoption -- demand is rising faster than AI can displace the physical work.

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Industrial Machinery Mechanics employment and pay by year

On record since1820
Latest US employment439,640 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Latest US median pay$64,520 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Outlook+17.8% by 2035Source: BLS Employment Projections 2025-35Official statisticReport an error

In other countries

The latest figure each country's statistics agency publishes for this job. Each uses its own occupation definition, survey basis and currency, so the numbers are not directly comparable with each other or with the US figures.

  • United Kingdom (UK SOC 5223)

    Employment, 2025
    223,000, ONS ASHE 2025 Official statistic Report an errorONS Annual Survey of Hours and Earnings (Table 14): employee jobs in SOC 5223 Metal working production and maintenance fitters, United Kingdom, 2025 (ASHE "number of jobs", thousands x1000; excludes self-employment). Open Government Licence v3.0.
    Median pay, 2025
    £40,002, ONS ASHE 2025 Official statistic Report an errorONS Annual Survey of Hours and Earnings (Table 14.7a): median gross annual pay for all employee jobs in SOC 5223 Metal working production and maintenance fitters, United Kingdom, 2025. Open Government Licence v3.0.
  • Australia (ANZSCO 3232)

    Employment, 2025
    122,000, ABS Labour Force Survey Official statistic Report an errorABS Labour Force Survey (Detailed), table EQ08: employed persons in ANZSCO 3232 Metal Fitters and Machinists, national (summed across sex and state/territory), annual average of 4 quarterly estimates.
    Median pay, 2025
    A$135,512, ABS Employee Earnings May 2025 Official statistic Report an errorAnnualised (x52) from A$2,606 median weekly earnings. ABS Survey of Employee Earnings and Hours, May 2025: median pay for full-time non-managerial employees paid at the adult rate, before tax. Surfaced via the Jobs and Skills Australia occupation profile.
View all 30 years of cited US data, each linked to its source
YearUS employmentAnnual pay (median unless marked)SourceReport
1900180,000n/aEst., Derived estimate Researched contextReport
1940420,000n/aDecennial Census 1940 Researched contextReport
1950550,000n/aEst., Derived estimate Researched contextReport
1956n/a$4,200Est., Derived estimate Researched contextReport
1979650,000n/aEst., BLS Beyond the Numbers Researched contextReport
1980n/a$18,500Est., Derived estimate Researched contextReport
2000192,180n/aBLS OEWS 2000 Official statisticReport
2003192,300$38,440BLS OEWS May 2003 Official statisticReport
2004212,770$39,060BLS OEWS May 2004 Official statisticReport
2005234,650$39,740BLS OEWS May 2005 Official statisticReport
2006250,810$41,050BLS OEWS May 2006 Official statisticReport
2007266,550$42,350BLS OEWS May 2007 Official statisticReport
2008280,620$43,670BLS OEWS May 2008 Official statisticReport
2009276,230$44,470BLS OEWS May 2009 Official statisticReport
2010275,370$45,420BLS OEWS May 2010 Official statisticReport
2011292,470$46,270BLS OEWS May 2011 Official statisticReport
2012301,560$46,920BLS OEWS May 2012 Official statisticReport
2013306,860$47,910BLS OEWS May 2013 Official statisticReport
2014313,880$48,630BLS OEWS May 2014 Official statisticReport
2015323,280$49,690BLS OEWS May 2015 Official statisticReport
2016334,490$50,040BLS OEWS May 2016 Official statisticReport
2017341,260$51,360BLS OEWS May 2017 Official statisticReport
2018362,440$52,340BLS OEWS May 2018 Official statisticReport
2019387,630$53,590BLS OEWS May 2019 Official statisticReport
2020385,980$55,490BLS OEWS May 2020 Official statisticReport
2021373,090$59,840BLS OEWS May 2021 Official statisticReport
2022386,120$59,830BLS OEWS May 2022 Official statisticReport
2023412,650$61,420BLS OEWS May 2023 Official statisticReport
2024421,940$63,760BLS OEWS May 2024 Official statisticReport
2025439,640$64,520BLS OEWS May 2025 Official statisticReport
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