Caterpillar ranks as the world’s largest construction equipment manufacturer and also produces off-highway diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives, headquartered in Irving, Texas. The company employed 118,000 people worldwide at the end of 2025 and posted $67.6 billion in sales and revenues for the year, the highest full-year total in its 100-year history.
That scale extends to Caterpillar’s digital infrastructure. The company runs more than 1.6 million connected machines and engines through its Cat Helios cloud platform, which processes 16 petabytes of operational data. Caterpillar has also pledged $100 million over five years to train its workforce in AI, automation, and robotics, signaling a broader effort to integrate digital capabilities across its operations and customer services.
This analysis focuses on two AI use cases that directly support Caterpillar’s operational and strategic objectives:
AI-Powered Autonomous Haulage for Safer Mining Operations – Removing operators from the highest-risk task in mining, where powered haulage causes more fatalities than any other hazard.
AI-Driven Predictive Maintenance — Anticipating equipment failures before they cause unplanned downtime, using data the company already collects from millions of connected machines.
