Cloud Computing in Mining - Thematic Research

Cloud Computing in Mining - Thematic Research

Summary

GlobalData's Cloud Computing in Mining - Thematic Research” analyses the adoption of cloud computing technologies, such as IaaS, PaaS, and SaaS. It analyses the cloud value chain, the challenges faced by the mining industry, and how cloud computing is enabling the industry to tackle these challenges. The report also identifies competitive positions held by technology vendors, and mining companies. It also discusses successful case studies in the mining industry.

Several issues face mining companies today include: deeper mines, depleting ore quality, rising costs, increased investor scrutiny, remote mine locations, infrastructure shortages, and poor safety reputation. Finding ways to stay competitive and improve safety performance are top priorities for mining companies.

With the modern mine generating vast amounts of data from monitoring devices, the challenge for the industry is deriving actionable insights from it. However, data is often held in disparate systems leading to poor collaboration and worsening project productivity.

Scope

  • This report presents an overview of adoption of cloud computing technologies, such as IaaS, PaaS, and SaaS.
  • The report provides an overview of the competitive positions held by technology vendors, and mining companies in the cloud computing theme.
  • It analyses the cloud value chain, the challenges faced by the mining industry, and how cloud computing is enabling the industry to tackle these challenges.
  • It also discusses some successful cloud computing case studies in the mining industry.
Reasons to Buy
  • Build an understanding of cloud computing technology and its applications in the mining industry.
  • Identify key industry challenges driving cloud adoption in the mining industry.
  • Explore cloud implementation options and leading vendor partners.
  • Review case study implementations from leading mining companies.
  • Understand market size and growth forecasts for cloud computing in mining industry.
  • Identify and benchmark key mining companies adopting cloud computing technologies.


  • Introduction
    • Staying competitive and improving safety are key priorities
    • Cloud can help reduce costs and increase productivity
    • Winners and losers
  • Cloud value chain
    • Key players in the cloud value chain
      • Table Figure 1: Key players in the cloud computing value chain
      • Table Figure 2: Enterprise cloud spending falls into three categories
    • Cloud services (IaaS and PaaS)
    • Cloud services (SaaS)
    • Cloud professional services model
  • Mining challenges
    • Table Figure 3: Trend analysis of leading cloud influencers
    • Table Mining challenges
  • The impact of cloud on mining
    • Table Figure 4: Thematic impact assessment chart
    • How the cloud helps resolve IT cost issues
    • How the cloud helps resolve data resource issues
    • How does the cloud help resolve digitalization issues
    • How the cloud helps to resolve safety issues
    • How the cloud resolves data security issues
    • Further cloud issues
  • Case studies
    • Case study 1
    • Case study 2
    • Case study 3
    • Case study 4
    • Case study 5
    • Case study 6
    • Case study 7
    • Case study 8
  • Market size and growth forecasts
    • Table Figure 5: Global cloud services in mining will reach $1bn by 2024, up from $615m in 2019
    • Table Figure 6: Global cloud infrastructure in mining will reach $360m by 2024, up from $263m in 2019
  • Cloud timeline
    • Table Figure 7: The cloud story
  • Players
    • Leading cloud adopters in mining
      • Table Leading cloud adopters in mining
    • Leading cloud vendors
      • Public companies
        • Table Public companies
      • Private companies
        • Table Private companies
    • Specialist cloud vendors in mining
      • Table Specialist cloud vendors in mining
  • Glossary
    • Table Glossary
  • Appendix: Our thematic research methodology
    • Viewing the world's data by themes makes it easier to make important decisions
    • Traditional research does a poor job of picking winners and losers
    • That is why we developed our "thematic engine"
    • How do we create our sector scorecards?
      • Table Figure 8: Our five-step approach for generating a sector scorecard
    • What is in our sector scorecards?
    • How do we score companies in our thematic screen?
    • About GlobalData
    • Contact us
    • Research
    • Client Services
    • Disclaimer

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