LAMEA AI In Mining Market

LAMEA 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, Computer Vision, NLP, and Other Technology), By Country and Growth Forecast, 2025 - 2032

Report Id: KBV-28741 Publication Date: August-2025 Number of Pages: 179 Report Format: PDF + Excel
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Analysis of Market Size & Trends

The Latin America, Middle East and Africa AI In Mining Market would witness market growth of 42.0% CAGR during the forecast period (2025-2032).

The Brazil market dominated the LAMEA AI In Mining Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $10,363.4 Million by 2032. The Argentina market is showcasing a CAGR of 43.6% during (2025 - 2032). Additionally, The UAE market would register a CAGR of 39.3% during (2025 - 2032). The Brazil and South Africa led the LAMEA AI In Mining Market by Country with a market share of 27.8% and 21.5% in 2024.The Saudi Arabia market is expected to witness a CAGR of 42.6% during throughout the forecast period.

LAMEA AI In Mining Market Size, 2021 - 2032

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The LAMEA region, which includes Latin America, the Middle East, and Africa, is slowly using AI in mining to make it safer, more productive, and less expensive. Brazil, Chile, Peru, South Africa, and Saudi Arabia are some of the countries that are leading the way in using AI for predictive maintenance, remote asset monitoring, real-time analytics, and hazard detection. Chile is improving the way it gets copper, Brazil is automating the way it moves iron ore, and African countries are using AI to find earthquakes and keep workers safe. Saudi Arabia is using AI to improve geological surveys as part of its Vision 2030 strategy. This is in line with the region's larger goals of diversifying its economy.

Vale, CODELCO, and AngloGold Ashanti, three of the biggest mining companies in the world, are working together with tech companies to create AI-powered platforms. At the same time, governments are creating innovation hubs to improve the skills of people in their regions. Recent projects focus on using AI to improve water use, make tracking ore more open, and connect with mobile technologies so that people in remote areas can make decisions. Even though there are problems like a weak digital infrastructure and changing prices for goods, growth is being driven by more mobile connectivity, satellite communication, and global partnerships. Overall, the use of AI in LAMEA is likely to grow as the region meets international standards for efficiency and sustainability.

Technology Outlook

Based on Technology, the market is segmented into Machine Learning & Deep Learning, Robotics & Automation, Computer Vision, NLP, and Other Technology. Among various Brazil AI In Mining Market by Technology; The Machine Learning & Deep Learning market achieved a market size of USD $3594.6 Million in 2024 and is expected to grow at a CAGR of 39.4 % during the forecast period. The NLP market is predicted to experience a CAGR of 41.9% throughout the forecast period from (2025 - 2032).

Type Outlook

Based on Type, the market is segmented into Surface Mining, Underground Mining, and Other Type. The Surface Mining market segment dominated the South Africa AI In Mining Market by Type is expected to grow at a CAGR of 42.1 % during the forecast period thereby continuing its dominance until 2032. Also, The Underground Mining market is anticipated to grow at a CAGR of 43.2 % during the forecast period during (2025 - 2032)

Country AI In Mining Market Size by Segmentation

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Country Outlook

Brazil is a world leader in mineral production and is quickly adopting AI in mining. The Brazilian Artificial Intelligence Plan 2024–2028 supports this by focusing on high-performance computing, research funding, and teaching people how to use AI. The sector is using AI for ore-body modeling, predictive maintenance, energy optimization, logistics, and safety monitoring. Major universities like USP, UNICAMP, and UFSC are making big contributions. Vale, the country's largest mining company, is in charge of putting the plan into action through an AI hub in Espírito Santo. They are using self-driving trucks, drones, and real-time monitoring to make things safer and more efficient. Brazil is the leader in AI-driven mining in the LAMEA region, despite problems like gaps in infrastructure, the need to train workers, and unclear regulations. This is because Brazil has strong policy support, a culture of innovation, and a strategic mineral base.

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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)

LAMEA 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

  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA
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