S07.4 · Materials, Chemicals & Mining
A $140-150B mining-equipment market where aftermarket service, not the hardware sale, carries the real margin, and AI autonomy is shifting that edge toward software.
Mining equipment and services — the machinery, drilling and related services that support extraction — runs roughly $140-150B for equipment (2024-25 estimate, trending to $229B by 2035 per Precedence Research 2025), with contract drilling and services adding another $50-70B. Growth of 4-6% a year follows miners' capital-expenditure cycles and, increasingly, electrification retrofits. The place to look in this segment is not the equipment sale. It is the aftermarket behind it — that is where the margin lives, and AI-enabled autonomy and predictive maintenance are pushing more of the value there.
The OEMs are headquartered in the US, Sweden, Japan and Finland — Caterpillar, Komatsu, Epiroc and Sandvik lead major-equipment revenue — and demand goes wherever mining capital expenditure is being deployed. The top 4-5 OEMs hold the majority of major-equipment share; contract drilling and field services sit at the opposite pole, far more fragmented and regionally organized. The chain runs from upstream component and steel suppliers through OEMs to mine operators, with aftermarket parts and service at the end as the primary profit pool.
The margin split defines the business. Equipment sales earn a thin 10-15%; aftermarket parts and service earn 25-35%, and they recur. The real specialty-grade economics sit in aftermarket relationships with installed equipment, not in the capital good itself — which is exactly why OEMs work to lock customers into their own service and parts ecosystem for the life of the equipment.
Autonomous haulage is already deployed at scale; predictive maintenance — sensor data and AI models anticipating equipment failure before it happens — should reach mid-market adoption within 2-5 years. Both aim at one cost line: unplanned downtime, which runs 15-20% of total mine operating expenditure. For the mine operator that is a direct, quantifiable saving. For the OEM it redraws where margin is contested.
The deeper shift is in what the moat is made of. Advantage is moving from the physical parts catalog to the software and data layer sitting on top of the equipment. OEMs are bundling autonomy and predictive-maintenance software with hardware specifically to defend aftermarket revenue against lower-cost equipment entrants, Chinese manufacturers in particular — hardware alone commoditizes; the fleet-management software and accumulated equipment-performance data that make predictive maintenance work well do not. For a mine operator, switching equipment vendors increasingly means switching data and software ecosystems, not just machinery. That is a stickier form of lock-in than the parts catalog ever was, and it raises the bar for new equipment entrants regardless of how competitive their hardware pricing is.