Artificial Intelligence (AI) in Mining – Thematic Intelligence

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Explore in-depth trends and insights from the following data in our Artificial Intelligence (AI) in Mining’ report:

  • Understand the impact of the AI theme on the mining sector.
  • Explore the impact of generative AI on the mining sector.
  • Access the latest data on the AI theme within the mining sector.
  • Access case study insights on leading players within the AI theme.
  • Identify the leading digital transformation efforts from mining companies through investment into the AI theme.

How is the ‘Artificial Intelligence (AI) in Mining’ report different from other reports in the market?

  • The AI theme is extremely prominent in mining, with companies desperate to find new methods to improve productivity and minimize costs, while also finding new sources of minerals. AI is already playing a big role; however, its influence will only grow in the years to come.
  • It is an expensive investment for mining companies already suffering after the COVID-19 pandemic and the economic downturn that has come with it.
  • The report will help businesses to make strategies with the help of use cases and an idea of challenges within the AI theme in mining.

We recommend this valuable source of information to anyone involved in:

  • Technology Leaders and Start-ups
  • Mining Companies
  • Primes/OEMs/Clean Energy Technology Enterprises
  • Business Development and Market Intelligence
  • Investment Analysts and Portfolio Managers
  • Professional Services – Investment Banks, PE/VC Firms
  • M&A/Investment, Management Consultants, and Consulting Firms

To get a snapshot of the artificial intelligence in mining thematic report, download a free report sample

AI in Mining Thematic Report Overview

Artificial intelligence drives efficiency in mining as it enables mining companies to use autonomous machinery and data to improve efficiency and productivity and reduce downtime. These tools can reduce operational costs for mining companies. Although AI is already playing a big role, its influence will only grow in the years to come.

Report Pages 69
Regions Covered Global
Value Chain ·       Hardware

·       Data Management

·       Foundation AI

·       Advanced AI Capabilities

·       Delivery

Leading AI Adopters in Mining ·       Anglo American

·       BHP

·       Boliden

Leading AI vendors ·       Alibaba

·       Alphabet (parent company of Google, Waymo, and DeepMind)

·       Amazon

Leading Specialist AI vendors in mining ·       ABB

·       Caterpillar

·       Komatsu

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AI in Mining – Industry Analysis

AI is a theme that already plays a massive role in most modern technologies with machine learning, robotic process automation, and computer vision all common across the different sectors. With the emergence of generative AI, GlobalData expects AI revenue to increase significantly by having a CAGR of more than 34% between 2022 and 2030.

AI Market Revenue, 2019-2030

AI Market Revenue, 2019-2030

To know more about the AI market forecast, download a free report sample

The AI in the mining industry analysis also covers:

  • Mergers and acquisitions
  • Patent trends
  • Hiring trends

AI - Value Chain Analysis

The AI value chain consists of hardware, data management, foundation AI, advanced AI capabilities, and delivery.

Data management: AI technology relies on large amounts of data, often called big data, and the various aspects of managing that data feature prominently in the AI value chain. However, data management is not exclusive to AI and can be seen as a generic foundational layer. Big data is produced by all forms of digital activity: phone calls, emails, sensors, payments, social media posts, and much more. It is also produced by machines, both hardware, and software, in the form of machine-to-machine data exchanges. It is typically managed in data centers, either in the public cloud, corporate data centers, or end devices. Broadly speaking, the objective of data management is to secure the data (through data governance and security technology) and manage the data (by applying storage, processing, aggregation, and integration techniques).

AI Value Chain Analysis

AI Value Chain Analysis

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Artificial Intelligence in Mining - Competitive Landscape

Some of the leading adopters of AI:

  • Anglo American
  • BHP
  • Boliden

Some of the leading AI Vendors:

  • Alibaba
  • Alphabet (parent company of Google, Waymo, and DeepMind)
  • Amazon

Some of the Specialist AI vendors in mining:

  • ABB
  • Caterpillar
  • Komatsu

To know more about the leading vendors, adopters, and specialists in the AI in mining sector, download a free report sample

Mining Sector Scorecard

The mining sector scorecard approach predicts tomorrow’s leading companies within each sector. Our sector scorecards have three screens: a thematic screen, a valuation screen, and a risk screen.

Mining Sector Scorecard Analysis

Mining Sector Scorecard Analysis

For more insights into the mining sector scorecard, download a free report sample

Key Highlights

AI enables mining companies to use autonomous machinery and data to improve efficiency and productivity and reduce downtime. These tools can reduce operational costs for mining companies. Autonomous machinery can also reduce the requirement for on-site workers, thereby removing them from potential hazards and improving safety. AI can help companies better understand the environment and terrain where exploitation is to begin. According to Glencore, this can save firms up to 80% of unnecessary costs.

Agnico Eagle
Earth AI
Freeport McMoRan
Goldspot Discoveries
Kobold Metals
Minerva Intelligence
Rio Tinto
Teck Resources

Table of Contents

  • 1. Executive Summary
  • 2. Players
  • 3. Mining Challenges
  • 4. The Impact of AI on Mining
  • 5. Case Studies
  • 6. AI Timeline
  • 7. Market Size and Growth Forecasts
  • 8. Signals

    • 8.1. Mergers and acquisitions
    • 8.2. Patent trends
    • 8.3. Hiring trends

  • 9. AI Value Chain

    • 9.1. Hardware
    • 9.2. Data management
    • 9.3. Foundational AI
    • 9.4. Advanced AI capabilities
    • 9.5. Delivery

  • 10. Companies
  • 11. Sector Scorecard

    • 11.1. Mining Sector Scorecard

  • 12. Glossary
  • 13. Further Reading
  • 14. Our Thematic Research Methodology
  • 15. About GlobalData
  • 16. Contact Us

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