Key Takeaways
- USD 30.3 billion global market size for construction equipment in 2023 (includes segments such as cranes and hoists that overlap with lifting equipment demand)
- 4.2% CAGR projected for the global lifting equipment market from 2024 to 2034 (forward-looking growth rate for industry sizing)
- USD 6.5 billion global crane market size in 2023 (cranes are a primary lifting equipment category)
- 34% of workers in construction report being injured while working at height in the EU-27 (height-related incidents drive demand for safer lifting access equipment)
- EU Directive 2006/42/EC requires machinery, including lifting components used in machinery, to meet essential health and safety requirements before being placed on the market (regulatory driver)
- Directive 2009/104/EC sets requirements for the use of work equipment (including lifting equipment) at workplaces in EU member states (legal compliance baseline)
- Periodic inspection intervals for lifting equipment are often scheduled annually or per operating hour usage; OSHA requires inspections before use and periodic intervals for certain equipment types (drives recurring service demand)
- 48% of crane operators use manufacturer OEM manuals and service bulletins for inspection planning (helps quantify reliance on aftermarket documentation and services)
- Certified lifting inspection schemes in the UK (e.g., LOLER-related inspection) require competent person sign-off, generating recurring inspection business (aftermarket service demand)
- 90% of companies using condition monitoring report improved maintenance planning accuracy (condition monitoring includes load cells and vibration sensors on lifting equipment)
- 80% of industrial organizations plan to increase spending on AI/analytics in the next 12 months (used for predictive maintenance and safety monitoring)
- 20% improvement in energy efficiency from optimized electric motor control and drives (applies to electric hoists and lifts reducing operational cost)
- Condition monitoring reduces unplanned downtime by 25–30% (equipment uptime economics for lifting fleets)
- Annual maintenance for industrial lifting equipment is commonly priced as 2–5% of equipment replacement value (maintenance cost benchmark for hoists/cranes)
- The US Bureau of Labor Statistics reports a median hourly wage of $34.21 for crane and derrick operators in 2023 (labor cost component for lifting equipment operations)
With safety driven regulation and condition monitoring, the lifting equipment market is set for steady growth through 2034.
Related reading
01 · Category
Market Size5 stats
Market Size Interpretation
02 · Category
Safety & Regulation8 stats
Safety & Regulation Interpretation
03 · Category
Aftermarket & Services3 stats
Aftermarket & Services Interpretation
04 · Category
Technology & Operations3 stats
Technology & Operations Interpretation
05 · Category
Cost Analysis7 stats
Cost Analysis Interpretation
More related reading
06 · Category
Energy & Efficiency2 stats
Energy & Efficiency Interpretation
07 · Category
Industry Trends11 stats
Industry Trends Interpretation
08 · Category
User Adoption2 stats
User Adoption Interpretation
09 · Category
Performance Metrics5 stats
Performance Metrics Interpretation
Global lifting equipment: market growth outlook
The lifting equipment market is projected to expand steadily, supported by overall construction activity and rising safety/regulatory and technology-driven needs.
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Sophie Moreland. (2026, February 13). Lifting Equipment Industry Statistics. Gitnux. https://gitnux.org/lifting-equipment-industry-statistics
Sophie Moreland. "Lifting Equipment Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/lifting-equipment-industry-statistics.
Sophie Moreland. 2026. "Lifting Equipment Industry Statistics." Gitnux. https://gitnux.org/lifting-equipment-industry-statistics.
Sources & references
46 datasets cited across this report · attribution is report-level
+17 additional datasets cited (not shown individually)

