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Mining Productivity: Measurement, Structural Drivers, and Recovery Levers
Mining Industry

Mining Productivity: Measurement, Structural Drivers, and Recovery Levers

Mining multifactor productivity has contracted in five of the last six years on grade decline, deeper pits, and rising capital intensity. The report quantifies the gap and assesses the operational levers available to recover it.

$5,50041 pages · PDF · 2.3 MB
Summary

Mining multifactor productivity fell again through 2024 to 2025, among the steepest declines across industries tracked by national statistical agencies in Australia and the United States. The structural causes are familiar: falling run-of-mine grades, rising strip ratios, longer haul cycles, and the capital dilution that follows major expansions. Overall equipment effectiveness at open-pit operations averages around 39%, far below comparable heavy industry, which implies that much of the gap is recoverable through operational rather than geological means. The report sets out a framework for measuring asset-level productivity, identifies where integrated operations centers, predictive maintenance, and digital optimization have produced measurable gains among the majors, and separates durable improvement from one-cycle effects, with cross-asset benchmarking through 2025.

Updated Nov 2025 · By Mining Terminal Research

What's inside

Table of contents
  1. 01Executive Summary: The Productivity Gap and What Is Recoverable
  2. 02Productivity Measurement: MFP, OEE, and Unit-Cost Frameworks
  3. 03Structural Causes of the Decade-Long Decline, Including Grade and Depth
  4. 04Capital Intensity and the Post-Expansion Productivity Trough
  5. 05Benchmarking Asset Performance Across the Majors
  6. 06Integrated Operations Centers: Evidence on Throughput and Cost
  7. 07Predictive Maintenance and OEE Recovery: Shovel, Haul, and Mill
  8. 08Debottlenecking and Incremental Expansion as Levers
  9. 09Digital and AI-Driven Optimization: Adoption and Measured Outcomes
  10. 10Recovery Scenarios: Achievable Productivity Trajectories to 2028
  11. 11Implications for Unit Costs, Margins, and Capital Allocation
  12. 12Appendix: Data Sources, Metric Definitions, and Disclosure Methodology
Charts & data tables
  • Mining Productivity trend dashboard (historical + forward scenarios)
  • M&A and capital-raising activity tracker
  • Operating-cost inflation and productivity index
  • Equipment and labor utilization benchmarks
  • Peer group valuation dispersion chart
  • Sensitivity matrix: price, cost, and policy variables