Even with 173,000+ industrial maintenance workers supporting operations in the United States, maintenance is still caught between slower human knowledge capture and fast moving analytics needs. Predictive and connected strategies are scaling, with the global predictive maintenance market projected to jump from $4.3 billion in 2023 to $24.3 billion by 2030 while integration gaps, spreadsheet planning, and stale schedules keep showing up in survey results. The interesting part is the tension between the labor base and the system gap, and how that mismatch shows up in downtime, safety, and availability outcomes.
Key Takeaways
- 173,000+ industrial maintenance workers employed in the United States (2023 annual average), indicating the large labor base supporting maintenance operations
- 2.7% projected annual growth rate in employment for industrial machinery mechanics (2019–2029), reflecting demand growth for maintenance roles
- 1.2% projected annual growth rate in employment for electrical power-line installers and repairers (2019–2029), relevant to electrical maintenance demand
- The global predictive maintenance market is projected to grow from $4.3 billion in 2023 to $24.3 billion by 2030 (CAGR 29.9%), driven by maintenance digitization
- The asset integrity management market is projected to reach $7.9 billion by 2030 (from $3.2 billion in 2023), indicating expanding investment in maintenance risk controls
- The global industrial IoT market is expected to reach $1.1 trillion by 2028 (from $271.6 billion in 2019), enabling maintenance analytics and remote monitoring
- 6.7% year-over-year decline in U.S. manufacturing industrial production in April 2020 (context for maintenance demand volatility during downturns)
- 24% reduction in maintenance-related safety incidents is associated with improved maintenance practices and compliance programs (safety impact estimate)
- Rockwell Automation (Connected Services) reports that downtime caused by maintenance issues is a top operational pain point; however a single publicly accessible, specific numeric downtime share was not found without less reliable sources—OMITTED
- Estimated 10%–20% reduction in unplanned downtime is associated with predictive maintenance implementations (industry research summary)
- 50% of maintenance organizations consider asset criticality assessment necessary to improve maintenance planning (criticality planning adoption metric)
- 61% of organizations report difficulty integrating maintenance data from OT systems into enterprise systems for reporting (integration difficulty metric)
- 27% of manufacturing facilities report using manual inspections rather than sensor-based condition monitoring (inspection modality metric)
- 23% of organizations report that maintenance schedules are not updated frequently enough to reflect asset health changes (schedule freshness metric)
- 51% of maintenance managers report that spare parts availability is a major driver of maintenance delays (parts-driven delay metric)
Large maintenance workforces and rising predictive and digital tools are cutting downtime, boosting safety, and improving asset reliability.
Related reading
01 · Category
Workforce & Labor6 stats
01
173,000+ industrial maintenance workers employed in the United States (2023 annual average), indicating the large labor base supporting maintenance operations
02
2.7% projected annual growth rate in employment for industrial machinery mechanics (2019–2029), reflecting demand growth for maintenance roles
03
1.2% projected annual growth rate in employment for electrical power-line installers and repairers (2019–2029), relevant to electrical maintenance demand
04
3.7% projected annual growth rate in employment for HVAC technicians (2019–2029), supporting steady maintenance workforce needs
05
0.5% projected annual growth rate in employment for machinists (2019–2029), affecting maintenance and repair capacity
06
22% of maintenance organizations reported that maintenance knowledge is not captured effectively, increasing dependency on individuals (survey-based statistic)
Interpretation
Workforce & Labor Interpretation
With 173,000+ industrial maintenance workers in the United States and projected job growth of 3.7% for HVAC technicians and 2.7% for industrial machinery mechanics, the workforce base is expanding, but survey data shows 22% of maintenance organizations still struggle to capture maintenance knowledge effectively, increasing reliance on individual workers.
02 · Category
Market Size6 stats
01
The global predictive maintenance market is projected to grow from $4.3 billion in 2023 to $24.3 billion by 2030 (CAGR 29.9%), driven by maintenance digitization
02
The asset integrity management market is projected to reach $7.9 billion by 2030 (from $3.2 billion in 2023), indicating expanding investment in maintenance risk controls
03
The global industrial IoT market is expected to reach $1.1 trillion by 2028 (from $271.6 billion in 2019), enabling maintenance analytics and remote monitoring
04
The global industrial software market is forecast to reach $332.2 billion by 2026, supporting maintenance software adoption
05
Worldwide spending on asset management software is forecast to reach $8.8 billion in 2024, reflecting investment in maintenance planning and performance
06
$4.1 billion global market size for enterprise asset management (EAM) software in 2021 (EAM market size)
Interpretation
Market Size Interpretation
The market size story is that maintenance digitization and risk control are rapidly expanding, with predictive maintenance projected to jump from $4.3 billion in 2023 to $24.3 billion by 2030 at a 29.9% CAGR alongside growing investments like asset integrity management reaching $7.9 billion by 2030.
03 · Category
Industry Trends4 stats
01
6.7% year-over-year decline in U.S. manufacturing industrial production in April 2020 (context for maintenance demand volatility during downturns)
02
24% reduction in maintenance-related safety incidents is associated with improved maintenance practices and compliance programs (safety impact estimate)
03
Rockwell Automation (Connected Services) reports that downtime caused by maintenance issues is a top operational pain point; however a single publicly accessible, specific numeric downtime share was not found without less reliable sources—OMITTED
04
Microsoft (2021) reports 81% of manufacturing leaders consider their factories partially or fully instrumented with connected sensors, enabling condition monitoring/maintenance analytics at scale
Interpretation
Industry Trends Interpretation
The industry trends data shows that even amid a 6.7% year over year drop in U.S. manufacturing industrial production during April 2020, better maintenance practices can still drive measurable safety gains like a 24% reduction in maintenance-related safety incidents, while connected sensor adoption is rising with 81% of manufacturing leaders saying their factories are partially or fully instrumented for condition monitoring and analytics.
04 · Category
Cost Analysis1 stats
01
Estimated 10%–20% reduction in unplanned downtime is associated with predictive maintenance implementations (industry research summary)
Interpretation
Cost Analysis Interpretation
For Cost Analysis, predictive maintenance can cut unplanned downtime by an estimated 10% to 20%, directly reducing one of the biggest hidden costs of maintenance.
05 · Category
User Adoption4 stats
01
50% of maintenance organizations consider asset criticality assessment necessary to improve maintenance planning (criticality planning adoption metric)
02
61% of organizations report difficulty integrating maintenance data from OT systems into enterprise systems for reporting (integration difficulty metric)
03
27% of manufacturing facilities report using manual inspections rather than sensor-based condition monitoring (inspection modality metric)
04
40% of organizations report that maintenance planning is done in spreadsheets or disconnected tools rather than an integrated system (planning tool fragmentation metric)
Interpretation
User Adoption Interpretation
For user adoption, the data shows a clear gap in taking maintenance practices into the broader digital workflow as only 50% value criticality assessment while 61% struggle to integrate OT to enterprise reporting, and adoption is further held back with 27% still relying on manual inspections and 40% planning in spreadsheets or disconnected tools.
More related reading
06 · Category
Performance Metrics4 stats
01
23% of organizations report that maintenance schedules are not updated frequently enough to reflect asset health changes (schedule freshness metric)
02
51% of maintenance managers report that spare parts availability is a major driver of maintenance delays (parts-driven delay metric)
03
3.2% increase in machine availability is reported on average after implementing condition-based maintenance programs (availability improvement estimate)
04
0.7% increase in mean time between failures (MTBF) on average is observed after predictive maintenance adoption in industrial case studies (MTBF change estimate)
Interpretation
Performance Metrics Interpretation
From a performance metrics perspective, maintenance outcomes improve modestly with smarter approaches, as condition-based programs raise machine availability by an average of 3.2% and predictive maintenance lifts MTBF by 0.7%, yet nearly half of managers point to spare parts availability as a key cause of delays at 51%.
07 · Category
Labor & Skills3 stats
01
1.6% of U.S. manufacturing sector workers were employed as “Maintenance and Repair Workers” in 2023 (≈1.6 workers per 100 manufacturing workers), reflecting the size of the maintenance-relevant labor pool within manufacturing
02
The BLS Occupational Outlook Handbook projects 2023–2033 employment growth of 5% for “Industrial Machinery Mechanics” in the U.S., indicating ongoing demand for roles that frequently perform industrial maintenance
03
The BLS Occupational Outlook Handbook projects 2023–2033 employment growth of 5% for “Electrical and Electronic Equipment Assemblers” (a related industrial maintenance supply-chain occupation), signaling sustained labor needs in industrial equipment work
Interpretation
Labor & Skills Interpretation
For the Labor and Skills side of maintenance, the pool is small but durable, with only 1.6% of U.S. manufacturing workers employed as maintenance and repair workers in 2023, while BLS projections still call for 5% growth through 2033 for both industrial machinery mechanics and electrical and electronic equipment assemblers.
08 · Category
Risk & Reliability3 stats
01
OSHA reports 1,068,000 nonfatal workplace injuries and illnesses requiring days away from work in 2022 across all industries, providing the baseline scale of operational injury risk that maintenance and repair work must help mitigate
02
UK HSE (Health and Safety Executive) reported that in 2022/23 there were 1,773 workplace fatalities in Great Britain, highlighting the consequence severity maintenance and repair work must prevent
03
HSE reported that in 2022/23 there were 115,000 injuries to employees that resulted in more than 7 days’ absence (Great Britain), underpinning the importance of maintenance safety controls
Interpretation
Risk & Reliability Interpretation
With OSHA recording 1,068,000 nonfatal injuries in 2022 and the UK seeing 115,000 employee injuries causing over 7 days of absence plus 1,773 workplace fatalities in 2022 to 2023, the Risk and Reliability story is clear that maintenance and repair work must relentlessly prevent both everyday harm and the rare but catastrophic failures that drive fatalities.
09 · Category
Cost & Spend1 stats
01
IBM (2020) reports that predictive maintenance can reduce maintenance costs by up to 25% and unplanned downtime by up to 30%, providing a quantified business case for maintenance digitization
Interpretation
Cost & Spend Interpretation
IBM’s 2020 findings show that predictive maintenance can cut maintenance costs by up to 25% and reduce unplanned downtime by up to 30%, making a strong cost and spend case for maintenance digitization.
10 · Category
Asset Economics1 stats
01
ISO 14224 (published standard) specifies reporting structure for maintenance and reliability data, enabling consistent measurement of downtime, failures, and maintainability (standard’s existence as a measurable industry requirement)
Interpretation
Asset Economics Interpretation
By establishing ISO 14224 as a published reporting standard, the maintenance industry is moving toward more consistent Asset Economics measurements of downtime, failures, and maintainability, making reliability cost drivers easier to compare and quantify.
Reference
Cite This Report
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APA
Henrik Dahl. (2026, February 13). Maintenance Industry Statistics. Gitnux. https://gitnux.org/maintenance-industry-statistics
MLA
Henrik Dahl. "Maintenance Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/maintenance-industry-statistics.
Chicago
Henrik Dahl. 2026. "Maintenance Industry Statistics." Gitnux. https://gitnux.org/maintenance-industry-statistics.
Sources & references
33 datasets cited across this report · attribution is report-level
+12 additional datasets cited (not shown individually)