Oil & Energy
The AI Revolution Reshaping the Global Mining Industry
The global mining industry is undergoing a rapid digital transformation, driven by the dual pressures of the energy transition and increasingly complex extraction environments. A new market report projects the global Artificial Intelligence (AI) in mining market will nearly quadruple in value over the next seven years, reaching $9.93 billion by 2032.
This surge in adoption comes as miners face a “perfect storm” of challenges: declining ore grades, labor shortages, and an insatiable global appetite for the critical minerals required to power electric vehicles (EVs) and renewable energy grids.
According to data released this week, the market for AI in mining is valued at approximately $2.6 billion in 2025 and is expected to expand at a Compound Annual Growth Rate (CAGR) of 21.1 percent through 2032.
While the mining sector has historically been viewed as slow to modernize, the need for efficiency is forcing a change. The integration of autonomous haulage systems, predictive maintenance analytics, and “digital twins”—virtual replicas of physical mine sites—is shifting from pilot projects to standard operational necessity.
The “Operations & Process Optimization” segment is currently the dominant application, expected to account for more than 35 percent of the market in 2025. This technology allows companies to squeeze higher yields out of lower-quality rock, a capability that is becoming essential as easily accessible high-grade deposits are depleted worldwide.
The driving force behind this investment is the global scramble for critical minerals. The report highlights that the metal mining segment held the largest market share in 2024, directly correlated to the demand for lithium, copper, cobalt, and nickel—the backbone of the green energy economy.
“Metal mining operations involve highly complex processes—from ore body modeling and exploration to drilling, blasting, grinding, and material movement,” the report notes.
“AI supports these functions through predictive analytics… enabling cost reduction and higher yield recovery.”
For Western nations, this technological pivot also holds geopolitical weight. With China currently dominating the processing of rare earth elements, Western mining majors are under pressure to ramp up domestic production and efficiency to secure supply chains for battery manufacturing and clean energy infrastructure.
Beyond productivity, the industry is leveraging AI to address its most persistent operational risk: safety. The “Safety, Security & Environmental” segment is projected to record the highest growth rate during the forecast period.
Mining remains one of the world’s most hazardous heavy industries. Companies are increasingly deploying AI-powered video analytics and real-time worker tracking to prevent accidents involving heavy machinery and to monitor for gas leaks or ventilation failures in underground operations.
Furthermore, stricter Environmental, Social, and Governance (ESG) criteria from investors are pushing miners to adopt AI for environmental compliance. New tools allow operators to monitor tailings dams for stability, track emissions in real-time, and optimize water usage, ensuring that the intensifying race for minerals does not come at the cost of environmental stewardship.
Geographically, the Asia Pacific region commanded the largest share of the AI in mining market in 2024 and is expected to maintain the highest growth rate.
This dominance is underpinned by massive production volumes in China and Australia. Major industry players in the region, including BHP and Rio Tinto, have been early adopters of autonomous technologies. In Western Australia, for example, autonomous haulage trucks and drill rigs are already commonplace, moving millions of tons of iron ore with minimal human intervention.
China’s adoption is further accelerated by government support for “smart mining” initiatives aimed at modernizing its vast coal and mineral sectors to reduce fatalities and improve environmental performance.
As the world moves toward 2032, the “mine of the future” will likely bear little resemblance to the labor-intensive operations of the past. With generative AI now entering the sector to assist in complex mine planning and exploration, the industry is pivoting toward a model where data is as valuable as the ore itself. For energy markets, this efficiency is not just a bonus; it is a prerequisite for meeting the material demands of a decarbonized world.
By: Charles Kennedy