Dublin, Jan. 16, 2025 (GLOBE NEWSWIRE) -- The "Thematic Intelligence: Artificial Intelligence in Mining (2024)" report has been added to ResearchAndMarkets.com's offering.
Mining companies are investing in AI to enhance productivity, safety, cost efficiency, and mineral discovery. The impact of AI in mining is already significant and will only grow in the coming years.
Research Scope
- This report provides an overview of the AI theme and how it will impact the mining industry.
- The report predicts how AI in mining will evolve, including the key challenges it will solve.
- It includes selected case studies highlighting who is innovating in mining using AI.
- The report also includes a comprehensive data analysis, including market size and growth forecasts for AI.
Artificial intelligence is already impacting the mining industry. For decades, artificial intelligence (AI) was the domain of university and corporate R&D labs. Recent progress in machine learning (ML) on the back of improved algorithms (e.g., Google's AlphaGo, OpenAI's GPT-3) and increasing computing power have enabled AI to solve real-life problems. The analyst estimates the total AI market will be worth $1 trillion by 2030, up from $103 billion in 2023 at a compound annual growth rate of 39%. Mining companies are investing in AI to enhance productivity, safety, cost-efficiency, and mineral discovery. The impact of AI in mining is already significant and will only grow in the coming years.
AI enhances efficiency and productivity in mining operations. AI enables mining companies to deploy autonomous machinery and use data analytics to enhance operational efficiency and productivity. Autonomous equipment can operate at peak efficiency around the clock, ensuring uninterrupted operations. Advanced AI algorithms enable predictive maintenance, reducing downtime by preventing accidents before they occur. Predictive maintenance systems can minimize such costs for mining companies while also preventing costly capital expenditure on equipment in cases where assets are irreparable. Advanced AI algorithms also facilitate real-time operational adjustments, further augmenting efficiency.
AI helps save lives in the mining industry. The mining industry is extremely dangerous. The US Mine Safety and Health Administration reported 42 mining fatalities in 2023. AI plays a crucial role in enhancing safety in mining by automating many dangerous jobs inside mines. The most effective way to reduce risks around a hazard is to remove the hazard entirely; automation can enable that. AI enables mining companies to use sensors, real-time data, and analytics to understand when changes in factors such as temperature and vibrations can lead to danger. AI-powered wearable sensors can continuously monitor mine workers for signs of drowsiness, fatigue, and physical discomfort, enabling proactive measures to remove workers at heightened risk of accidents.
Key Highlights
- AI plays a crucial role in enhancing safety in mining by automating many dangerous jobs inside mines. The most effective way to reduce risks around a hazard is to remove it entirely, and automation can enable that. AI is also essential to improving safety through predictive maintenance. AI systems can continuously monitor and analyze operational data to predict potential equipment failures and structural weaknesses, allowing for timely interventions that prevent catastrophic accidents.
- While using AI in predictive maintenance will be essential for improving safety in mining, it also plays a key role in boosting productivity. When a piece of machinery is on the verge of failure, it exhibits various signs, such as increased vibrations, overheating, and loss of power. Machine learning can process and understand this data in real-time, using it to predict when a machine is about to fail and stop it from operating before it does so, improving productivity.
- Mining companies must prioritize investment in the motion-side of AI to remain competitive.
Reasons to Buy
- The analyst's thematic research ecosystem is a single, integrated global research platform that provides an easy-to-use framework for tracking all themes across all companies in all sectors.
- This report is essential for senior executives at mining companies to understand the critical benefits from integrating AI technology into their operations. Mining companies who fail to implement AI solutions will fall behind.
- In addition, the report identifies the leading AI adopters in mining, as well as specialist tech vendors in this space.
Key Topics Covered
- Executive Summary
- Players
- Value Chain
- The Impact of AI on Mining
- Case Studies
- Market Size and Growth Forecasts
- AI Timeline
- Signals
- Companies
- Sector Scorecard
- Glossary
- Further Reading
- Thematic Research Methodology
A selection of companies mentioned in this report includes, but is not limited to:
- ABB
- Accenture
- Aareon
- Agnico Eagle Mines
- Airbiotics
- Aifnet (Deep Dream)
- Aiva Technologies
- Alibaba
- Alphabet (Google, Waymo, Deepmind)
- Alpha MOS
- ALS GoldSpot Discoveries
- Almonty Korea Tungsten Corp
- Amadeus Code
- Amelia AI
- Amazon
- Anglo American
- AngloGold Ashanti
- Anthropic
- Antofagasta
- Apple
- ArcelorMittal
- Aryballe
- Aurora
- Baidu
- Barrick Gold
- Basler
- Bayanat AI
- BHP
- BioNTech
- Blaize
- Boliden
- Boomy
- Burtech Acquisition
- Caterpillar
- ChAI Predict
- China Coal Energy
- China Molybdenum
- China Shenhua Energy
- Cisco
- CNH Industrial
- Cognex
- Cohere
- Coal India
- Corvus Insurance Holdings
- Databricks
- Darktrace
- Delta Drone International
- Delair
- DigitalOcean Holdings
- DocuSign
- DoubleVerify Holdings
- DroneDeploy
- Earth AI
- Ecrett Music
- Evraz
- Excelero
- Festo
- First Quantum Minerals
- Fleet Space Technologies
- Flyability
- Fortescue Metals
- Freeport-McMoRan
- Glencore
- Ghost Robotics
- GM (Cruise)
- Gold Fields
- Google Cloud Platform
- Graphcore
- Grupo Mexico
- Hindalco Industries
- Hikvision
- Hyundai (Boston Dynamics)
- IBM
- iFlytek
- Imago
- indie Semiconductor
- Intel
- Jasper Art
- Jiangxi Copper
- Jiangxi Ganfeng Lithium
- Kespry
- Kernel
- Keyence
- Kinross Gold
- Komatsu
- Korea Telecom
- Kunlun Tech
- Lexion
- LGMG
- LIG Nex1
- Liebherr
- Lockheed Martin
- Lunit
- Meituan
- Merative
- Meta
- Midea (KUKA)
- Microsoft
- Midjourney
- Mistral AI
- Mobileye
- Mosaic ML
- Mozilla
- Nautilus International
- Neuralink
- Newmont
- Nice
- NielsenIQ
- Nippon Steel
- Northern Star
- Northrop Grumman
- Nvidia
- Omron
- OneMeta AI
- OpenAI
- Oracle
- Output
- Parsons
- Paperspace
- Philips Healthcare
- Polyus
- Pony.ai
- POSCO
- ReliaQuest
- Rio Tinto
- Robotiq
- Rosecliff Acquisition Corp I
- RUSAL
- Run
- Sandvik
- Sanctuary AI
- Saudi Arabian Mining
- ScienceIO
- Sealing Technologies
- Seequent
- SenseTime
- Severstal
- Shaanxi Coal Industry
- Shandong Gold Mining
- Siemens
- Sibanye-Stillwater
- Singularity AI
- Skycatch
- Softbank
- SoundHound
- South32
- Sumitomo Metal Mining
- Synchron
- Tata Consultancy Services
- Tata Steel
- Tastewise
- Teck Resources
- Tencent
- Teradyne
- Tesla
- The Travelers Companies
- Thomson Reuters
- Thales Group
- Thoma Bravo
- Tianqi Lithium
- Tomahawk Robotics
- US Steel Corporation
- Vale
- Vedanta
- Veradigm
- Volpara Health Technologies
- WillowTree
- Yahsat
- Yanzhou Coal Mining
- Zijin Mining
For more information about this report visit https://www.researchandmarkets.com/r/h48aet
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