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Mining Automation Market - Global Forecast 2025-2032

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    Report

  • 196 Pages
  • November 2025
  • Region: Global
  • 360iResearch™
  • ID: 5847100
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The mining automation market is evolving as industry leaders adopt advanced technologies to enhance operational efficiency, safety, and adaptability. Senior decision-makers are focusing on automation to address workforce challenges, regulatory demands, and rising global competition, leveraging data-driven insights and modern platforms for sustainable growth.

Market Snapshot: Mining Automation Market Growth and Outlook

The Mining Automation Market grew from USD 3.99 billion in 2024 to USD 4.25 billion in 2025. It is projected to continue expanding at a CAGR of 6.98% to reach USD 6.85 billion by 2032. This robust growth reflects a shift toward digitized, autonomous operations across global mining enterprises. Decision-makers are investing in technology to drive efficiency and future-proof their operations in a dynamic regulatory and geopolitical environment.

Scope & Segmentation

This report provides strategic analysis and forecasts across the mining automation landscape, outlining the key components, technology frameworks, automation levels, operational applications, regional marketplaces, and leading industry players:

  • Component:
    • Hardware: Cameras and LiDAR, Controllers, GPS and positioning systems, Sensors
    • Services: Consulting and Training, Maintenance & Support, System Integration
    • Software: Data Analytics Platforms, Fleet Management Software, Remote Monitoring Systems
  • Technology:
    • 5G Connectivity, AI & Machine Learning, Autonomous Navigation Systems, Cloud Computing, IoT & Industrial Automation, Tele-remote Operation Systems
  • Automation Level:
    • Fully Automated Mining, Remote-Controlled Mining, Semi-Automated Mining
  • Applications:
    • Drilling and Blasting Automation, Mine Monitoring and Safety, Mineral Exploration and Surveying, Ore Handling and Transportation, Surface Mining Automation, Underground Mining Automation
  • Regional Analysis:
    • Americas (United States, Canada, Mexico, Brazil, Argentina, Chile, Colombia, Peru)
    • Europe, Middle East & Africa (UK, Germany, France, Russia, Italy, Spain, Netherlands, Sweden, Poland, Switzerland, UAE, Saudi Arabia, Qatar, Turkey, Israel, South Africa, Nigeria, Egypt, Kenya)
    • Asia-Pacific (China, India, Japan, Australia, South Korea, Indonesia, Thailand, Malaysia, Singapore, Taiwan)
  • Leading Companies:
    • ABB Ltd., Hitachi, Ltd., AB Volvo, Accruent, LLC, Atlas Copco AB, Caterpillar Inc., CiGen, Cisco Systems, Inc., Epiroc AB, Hexagon AB, Komatsu Ltd., Liebherr-International Deutschland GmbH, Metso Corporation, Aspen Technology, Inc., Mitsubishi Electric Corporation, Nesans Mining and Automation Pvt Ltd, Rio Tinto PLC, Rockwell Automation, Inc., Roxia Oy, RPMGlobal Holdings Limited, Sandvik AB, Sany Heavy Industry Co., Ltd., Sarla Advantech Pvt. Ltd., Schneider Electric SE, Siemens AG, Symboticware Inc., Trimble Inc.

Key Takeaways for Senior Leaders

  • Cross-functional automation, including robotics and AI-driven analytics, is elevating performance, safety, and asset utilization in complex environments.
  • Sector transformation is enabling real-time insights, reduced manual intervention, and optimized maintenance, leading to improved uptime and minimization of disruptions.
  • Strategic alliances foster integrated, scalable solutions—blending hardware, software, and connectivity for adaptability across variable mine sites.
  • Sustainability and workforce safety are prominent imperatives, with organizations adopting data-backed controls to support decarbonization and risk reduction.
  • Adopting modular platforms enables incremental upgrades, supporting capital flexibility and enabling rapid integration of evolving technologies.

Tariff Impact on the Global Mining Automation Supply Chain

The 2025 United States tariff regime influences sourcing and procurement strategies within the mining automation supply chain. With rising duties on critical components such as cameras and LiDAR, industry players respond by shifting toward regional manufacturing, nearshoring, and adopting open-architecture hardware. This approach mitigates cost escalation and sustains supply reliability, prompting proactive negotiations and expanded supplier networks among operators.

Research Methodology & Data Sources

This report leverages primary research through executive interviews, alongside a review of technical publications, regulatory filings, and proprietary datasets. Analytical frameworks, including SWOT, value chain mapping, and scenario planning, underpin market insights—validated through triangulation and geospatial analysis—to ensure strategic relevance and accuracy.

Why This Report Matters for Senior Decision-Makers

  • Enables informed capital allocation by mapping technology investments to evolving regulatory and operational needs.
  • Supports risk mitigation and procurement planning amid shifting trade and supply chain dynamics.
  • Equips leaders with a clear understanding of partner ecosystems and competitive positioning for long-term success.

Conclusion

The mining automation market is set for substantial growth as digitalization, safety imperatives, and sustainability goals converge. Organizations equipped with actionable strategies and a broad understanding of global dynamics will secure a resilient competitive edge.

 

Additional Product Information:

  • Purchase of this report includes 1 year online access with quarterly updates.
  • This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Integration of AI-driven ore grade prediction models to optimize extraction workflows
5.2. Deployment of autonomous haul trucks with advanced collision avoidance sensors in open pits
5.3. Real-time monitoring of drilling operations using machine learning and IoT sensor networks
5.4. Utilization of digital twin simulations to forecast equipment maintenance needs and reduce downtime
5.5. Implementation of remote operation centers for underground mining to enhance workforce safety
5.6. Adoption of edge computing for low-latency data processing in mineral exploration sites
5.7. Development of blockchain-based supply chain tracking for transparent mineral provenance
5.8. Use of 5G networks to enable high-bandwidth communication for mining robotics applications
5.9. Integration of augmented reality interfaces for maintenance training in automated mining equipment
5.10. Deployment of energy-efficient electric autonomous machinery to reduce carbon footprint in mining
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Mining Automation Market, by Component
8.1. Hardware
8.1.1. Cameras and LiDAR
8.1.2. Controllers
8.1.3. GPS and positioning systems
8.1.4. Sensors
8.2. Services
8.2.1. Consulting and Training
8.2.2. Maintenance & Support
8.2.3. System Integration
8.3. Software
8.3.1. Data Analytics Platforms
8.3.2. Fleet Management Software
8.3.3. Remote Monitoring Systems
9. Mining Automation Market, by Technology
9.1. 5G Connectivity
9.2. AI & Machine Learning
9.3. Autonomous Navigation Systems
9.4. Cloud Computing
9.5. IoT & Industrial Automation
9.6. Tele-remote Operation Systems
10. Mining Automation Market, by Automation Level
10.1. Fully Automated Mining
10.2. Remote-Controlled Mining
10.3. Semi-Automated Mining
11. Mining Automation Market, by Applications
11.1. Drilling and Blasting Automation
11.2. Mine Monitoring and Safety
11.3. Mineral Exploration and Surveying
11.4. Ore Handling and Transportation
11.5. Surface Mining Automation
11.6. Underground Mining Automation
12. Mining Automation Market, by Region
12.1. Americas
12.1.1. North America
12.1.2. Latin America
12.2. Europe, Middle East & Africa
12.2.1. Europe
12.2.2. Middle East
12.2.3. Africa
12.3. Asia-Pacific
13. Mining Automation Market, by Group
13.1. ASEAN
13.2. GCC
13.3. European Union
13.4. BRICS
13.5. G7
13.6. NATO
14. Mining Automation Market, by Country
14.1. United States
14.2. Canada
14.3. Mexico
14.4. Brazil
14.5. United Kingdom
14.6. Germany
14.7. France
14.8. Russia
14.9. Italy
14.10. Spain
14.11. China
14.12. India
14.13. Japan
14.14. Australia
14.15. South Korea
15. Competitive Landscape
15.1. Market Share Analysis, 2024
15.2. FPNV Positioning Matrix, 2024
15.3. Competitive Analysis
15.3.1. ABB Ltd.
15.3.2. Hitachi, Ltd.
15.3.3. AB Volvo
15.3.4. Accruent, LLC
15.3.5. Atlas Copco AB
15.3.6. Caterpillar Inc.
15.3.7. CiGen
15.3.8. Cisco Systems, Inc.
15.3.9. Epiroc AB
15.3.10. Hexagon AB
15.3.11. Komatsu Ltd.
15.3.12. Liebherr-International Deutschland GmbH
15.3.13. Metso Corporation
15.3.14. Aspen Technology, Inc.
15.3.15. Mitsubishi Electric Corporation
15.3.16. Nesans Mining and Automation Pvt Ltd
15.3.17. Rio Tinto PLC
15.3.18. Rockwell Automation, Inc.
15.3.19. Roxia Oy
15.3.20. RPMGlobal Holdings Limited
15.3.21. Sandvik AB
15.3.22. Sany Heavy Industry Co., Ltd.
15.3.23. Sarla Advantech Pvt. Ltd.
15.3.24. Schneider Electric SE
15.3.25. Siemens AG
15.3.26. Symboticware Inc.
15.3.27. Trimble Inc.

Companies Mentioned

The companies profiled in this Mining Automation market report include:
  • ABB Ltd.
  • Hitachi, Ltd.
  • AB Volvo
  • Accruent, LLC
  • Atlas Copco AB
  • Caterpillar Inc.
  • CiGen
  • Cisco Systems, Inc.
  • Epiroc AB
  • Hexagon AB
  • Komatsu Ltd.
  • Liebherr-International Deutschland GmbH
  • Metso Corporation
  • Aspen Technology, Inc.
  • Mitsubishi Electric Corporation
  • Nesans Mining and Automation Pvt Ltd
  • Rio Tinto PLC
  • Rockwell Automation, Inc.
  • Roxia Oy
  • RPMGlobal Holdings Limited
  • Sandvik AB
  • Sany Heavy Industry Co., Ltd.
  • Sarla Advantech Pvt. Ltd.
  • Schneider Electric SE
  • Siemens AG
  • Symboticware Inc.
  • Trimble Inc.

Table Information