PUBLISHER: Grand View Research | PRODUCT CODE: 1789948
PUBLISHER: Grand View Research | PRODUCT CODE: 1789948
AI In Mining Market Summary
The global AI in mining market size was estimated at USD 29.94 billion in 2024 and is projected to reach USD 685.61 billion by 2033, growing at a CAGR of 41.87% from 2025 to 2033. Artificial intelligence (AI) in mining market growth is significantly accelerated by the growing need for AI technologies that enhance the accuracy of data management, decision making, productivity, and optimize operations with environmental sustainability by technology innovation in the mining sector, which further improves the sorting and accuracy by reducing the consumption of energy and waste.
The AI in mining market is mainly driven due to its capability to reduce carbon footprints, waste with efficient engineering cycles, and increase compliance with ESG targets to make better use of the natural resources of the Earth. It provides mining workers the digital guidance and learning for remote, safe operations, and also ensures that the budget aligns with the project operations and ensures faster projects with smooth delivery of the product. It implements the predictive strategies for maintenance of the assets so that it extends the organization's asset lifecycle with increased operational efficiency in the field of materials, energy, yields, and quality.
Furthermore, optimization in the organizations value chain and a rise in productivity by enhancing the coordination and enhanced the balance of supply and demand, which improves the forecasts from mine to processing plant for maximum recovery by leveraging data management and control methods. AI in mining is used to improve the process by analyzing the data from various sources such as surveys, sensors, and weather patterns, enhancing the resource extraction, reduces waste, and overall efficiency of the mining process.
Mining AI also has a unique role by offering safety in AI systems to detect potential hazards in environmental conditions such as landslides, structural failures, roof collapses, water rush-ins, and alert workers for such conditions to tackle such conditions and ensure safety. There are advanced AI wearables with IoT sensors equipped with AI that provide alerts for fatigue and other health issues that may be caused due to the mining process. AI can monitor the impact of mining activities on the environment, predict environmental risks and manage resource optimization, also helps to use renewable energy in mining operations for reducing carbon footprint and energy costs.
Global AI In Mining Market Report Segmentation
This report forecasts revenue growth on global, regional, and country levels and provides an analysis of the industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global AI in mining market report based on the mining type, technology, deployment, and region: