AI in Mining Market

The AI in mining market is estimated to be valued at USD 2.60 billion in 2025 and USD 9.93 billion by 2032, registering a CAGR of 21.1% from 2025 to 2032. The AI in mining market is driven by the growing need to enhance operational efficiency and reduce production costs, along with the rising adoption of predictive maintenance to minimize unplanned downtime. Mining companies increasingly rely on real-time data analytics and machine learning to optimize equipment utilization and improve overall productivity.

Caterpillar (US), Komatsu Ltd. (Japan), Sandvik AB (Sweden), Hitachi Construction Machinery Co., Ltd. (Japan), and Hexagon AB (Sweden) are among the major players in the AI in mining market. Market participants have become more varied with their offerings. They are launching new products and expanding their geographical reach through collaborations, establishing alliances, and forging partnerships.

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For instance, in August 2025, Komatsu Ltd. and Pronto partnered to introduce Komatsu Smart Quarry Autonomous, integrating Pronto’s autonomous haulage technology into quarry-sized trucks for the North American market. The collaboration brings advanced autonomy once limited to large mines to quarries of all sizes, enhancing safety, productivity, and operational efficiency by combining Komatsu’s trusted equipment with Pronto’s scalable, intelligent autonomy platform.

Caterpillar

Caterpillar is a leading manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives. The company operates through four business segments: Construction Industries, Resource Industries, Energy & Transportation, and Financial Products.

AI in mining software and services (e.g., MineStar fleet management, autonomous haulage, analytics) fall under the Resource Industries segment. It provides technological solutions, including autonomous mining equipment and obstacle detection systems. It develops and manufactures equipment for surface and underground mining operations. It also offers hydraulic systems, drivetrains, electronics, and software for different machines and engines.

KOMATSU LTD.

Komatsu provides industrial equipment and services. The company is one of the leading manufacturers of construction and mining equipment worldwide. It offers a range of products, solutions, and services, especially for the construction and mining industries. It operates through three business segments: Construction, Mining and Utility Equipment; Retail Finance; and Industrial Machinery and Others. It operates across multiple sectors, including logistics and electronics, while also offering solution-driven services, such as planned maintenance, oil and wear analysis, and excavator track management. It offers AI in mining solutions through the Construction, Mining and Utility Equipment segment. It started providing mining automation solutions after acquiring Modular Mining Systems, a privately held company that used to develop, manufacture, market, and service mining equipment management systems, in 1996.

Company Ranking

The AI in mining market is competitive, with the top five players, Caterpillar (US), Komatsu Ltd. (Japan), Sandvik AB (Sweden), Hitachi Construction Machinery Co., Ltd. (Japan), and Hexagon AB (Sweden), collectively holding around 35–50% of the total market share. These companies leverage advanced AI capabilities, extensive product and solution portfolios, strong R&D investments, and established global distribution networks to maintain leadership across surface and underground mining operations. Their strategic focus on autonomous mining equipment, AI-powered analytics platforms, fleet optimization systems, and safety automation enables them to address critical industry needs, including productivity, cost efficiency, and operational safety.

Related Reports:

AI in Mining Market by Offering (Software, Services), Mining Type (Surface, Underground), Deployment Mode (On-Premises, Cloud, Hybrid), Technology (Generative AI, Machine Learning, NLP), Application, Vertical, and Region - Global Forecast to 2032

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