North America AI In Mining Market Size, Share & Industry Analysis Report By Type (Surface Mining, Underground Mining, and Other Type), By Deployment (Cloud, Hybrid, and On-premises), By Technology (Machine Learning & Deep Learning, Robotics & Automation,

The North America AI In Mining Market would witness market growth of 39.9% CAGR during the forecast period (2025-2032).

The US market dominated the North America AI In Mining Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $91,372.3 Million by 2032. The Canada market is experiencing a CAGR of 41.6% during (2025 - 2032). Additionally, The Mexico market would exhibit a CAGR of 41.3% during (2025 - 2032). The US and Canada led the North America AI In Mining Market by Country with a market share of 63.2% and 21% in 2024.

North America is a leader in the use of AI in mining because the United States and Canada have advanced digital infrastructure, a lot of capital available, and strong innovation ecosystems. The area is using AI throughout the mining value chain, from exploration to material handling. Some of the most important uses are for predictive maintenance, autonomous fleet operations, estimating ore grade, and optimizing drilling. AI is being used more to improve efficiency, lower emissions, and make work safer. This is happening because of rising energy costs and commitments to environmental, social, and governance (ESG) issues.

IBM, Microsoft, and Rockwell Automation are some of the biggest names in technology that work with major mining companies like Barrick Gold and Newmont Corporation to create custom AI solutions, such as digital twins and automation tools. Startups are also helping in specific areas, such as using computer vision to make sure safety rules are followed and using drones to explore. Mining companies, AI vendors, and universities are working together on research and development projects that are taking AI from pilot projects to full deployments. Investments in AI-powered cloud platforms are also bringing together mine data so that decisions can be made in real time. This shows how committed the region is to use sustainable and cutting-edge mining methods.

Technology Outlook

Based on Technology, the market is segmented into Machine Learning & Deep Learning, Robotics & Automation, Computer Vision, NLP, and Other Technology. Among various US AI In Mining Market by Technology; The Machine Learning & Deep Learning achieved a market size of USD $31359.6 Million in 2024 and is expected to grow at a CAGR of 37.8 % during the forecast period. The NLP market is predicted to experience a CAGR of 40.3% throughout the forecast period from (2025 - 2032).

Deployment Outlook

Based on Deployment, the market is segmented into Cloud, Hybrid, and On-premises. The Cloud market segment dominated the Canada AI In Mining Market by Deployment is expected to grow at a CAGR of 40.9 % during the forecast period thereby continuing its dominance until 2032. Also, The On-premises market is anticipated to grow as a CAGR of 43 % during the forecast period during (2025 - 2032).

Country Outlook

Canada is quickly adopting AI in mining thanks to strong government support, a well-developed mining ecosystem, and world-class AI research centers in Montreal and Toronto. Companies are using AI to monitor emissions, manage waste, predict maintenance, and automate tasks in remote areas to make mining safer and more efficient. Innovators like GeologicAI and VerAI are making progress in mineral classification and satellite-based exploration. At the same time, big mining companies like Barrick Gold and Teck Resources are putting these solutions into action. Autonomous equipment, drone-based surveys, and cloud-based AI platforms for making decisions in real time are all becoming more popular. Even though there are problems like data that isn't all in one place and the need to train workers, ESG pressures and government-backed partnerships are speeding up AI-driven change in Canada's mining industry.

List of Key Companies Profiled

• IBM Corporation
• Komatsu Ltd.
• Caterpillar, Inc.
• Sandvik AB
• SAP SE
• Microsoft Corporation
• Datarock Pty Ltd
• Earth AI Inc.
• BHP Group Limited
• Rio Tinto PLC (Rio Tinto International Holdings Limited)

North America AI In Mining Market Report Segmentation

By Type

• Surface Mining
• Underground Mining
• Other Type

By Deployment

• Cloud
• Hybrid
• On-premises

By Technology

• Machine Learning & Deep Learning
• Robotics & Automation
• Computer Vision
• NLP
• Other Technology

By Country

• US
• Canada
• Mexico
• Rest of North America

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