Mining Equipment Procurement Intelligence : Mining Equipment Category Is Estimated To Move Ahead At A Cagr Of 5.1% Till 2030

 Mining Equipment Procurement Intelligence

The mining equipment category is anticipated to grow at a CAGR of 5.1% from 2023 to 2030. 

Mining activities are increasing to extract metals and minerals from the earth in response to the growing demand for these resources, driving the growth of the category. Moreover, the adoption of natural complex and mineral resources such as diamond, iron ore, coal, and uranium, coupled with the increase in the need for mineral fertilizers to enhance agricultural yield supplements are fueling the demand for the category. The rising utilization of technologies such as IoT, sensors, and automation is reducing the labor cost and operational time associated with the activities. For instance, radar sensors are being used to process bulk solids whereas magnetic susceptibility meters and spectrometers are being used to detect wear and tear in mining equipment. All these factors result in a demand for innovative equipment.

Order your copy of the Mining Equipment category procurement intelligence report 2023-2030, published by Grand View Research, to get more details regarding day one, quick wins, portfolio analysis, key negotiation strategies of key suppliers, and low-cost/best-cost sourcing analysis 

Mining Equipment Procurement Intelligence Report Scope

The Mining Equipment category is expected to have pricing growth outlook of 5% - 6% (annual) from 2023 to 2030, with below pricing models. 

  • Volume-based pricing
  • product-based pricing
  • competition-based pricing

Supplier Selection Scope of Report

  • Cost and pricing
  • past engagements
  • productivity
  • geographical presence

Supplier selection criteria of Report

  • Types of equipment offered
  • application of equipment
  • delivery time and option
  • technology-driven products
  • regulatory compliance
  • operational and functional capabilities
  • others

Mining Equipment Procurement Intelligence Report Coverage

Grand View Research will cover the following aspects in the report:

  • Market Intelligence along with emerging technology and regulatory landscape
  • Market estimates and forecasts from 2022 to 2030
  • Growth opportunities, trends, and driver analysis
  • Supply chain analysis, supplier analysis with supplier ranking and positioning matrix, supplier’s recent developments
  • Porter’s 5 forces
  • Pricing and cost analysis, price trends, commodity price forecasting, cost structures, pricing model analysis, supply and demand analysis
  • Engagement and operating models, KPI, and SLA elements
  • LCC/BCC analysis and negotiation strategies
  • Peer benchmarking and product analysis
  • Market report in PDF, Excel, and PPT and online dashboard versions 

Mining Equipment Procurement Cost and Supplier Intelligence

The total cost of ownership of manufacturing machinery can be divided into fixed and variable costs. Fixed costs include elements such as capital, machinery, depreciation and salvage value. Variable costs include material, labor, repair and maintenance, legal costs, and others. The mining equipment cost can range from USD 1 million to USD 5 million. Mining equipment maintenance costs account for 30% to 50% of the overall operational costs. The cost of equipment also depends on the type of equipment and other specifications.

Under sourcing intelligence, end-user companies or clients generally outsource their mining equipment requirements to these category vendors. It is estimated that more than 85% of mining companies outsource more mining activities than mineral processing. Vendors are evaluated on equipment quality and type (underground or surface equipment), and technology offered (e.g., technology-driven fleets, automated vehicles, etc.) during mining equipment purchases. When selecting the equipment, it's crucial to consider factors such as the analyzing mining site, the reliability and effectiveness of the machinery, the equipment's cost, and the suppliers' experience.

List of Key Suppliers

  • Caterpillar
  • Liebherr
  • John Deere
  • Epiroc
  • Metso
  • Komatsu
  • Guangdong Leimeng Intelligent Equipment Group
  • Sandvik
  • Baichy
  • Vipeak Mining Machinery.

Add-on Services provided by Grand View Research Pipeline: 

Should Cost Analysis

  • Component wise cost break down for better negotiation for the client, highlights the key cost drivers in the market with future price fluctuation for different materials (e.g.: steel, aluminum, etc.) used in the production process

Rate Benchmarking

  • Offering cost transparency for different products / services procured by the client. A typical report involves 2-3 case scenarios helping clients to select the best suited engagement with the supplier

Salary Benchmarking

  • Determining and forecasting salaries for specific skill set labor to make decision on outsourcing vs in-house.

Supplier Newsletter

  • A typical newsletter study by capturing latest information for specific suppliers related to: M&As, technological innovations, expansion, litigations, bankruptcy etc.

Browse through Grand View Research’s collection of procurement intelligence studies:

Brief about Pipeline by Grand View Research:

A smart and effective supply chain is essential for growth in any organization. Pipeline division at Grand View Research provides detailed insights on every aspect of supply chain, which helps in efficient procurement decisions. 

Our services include (not limited to):

  • Market Intelligence involving – market size and forecast, growth factors, and driving trends
  • Price and Cost Intelligence – pricing models adopted for the category, total cost of ownerships
  • Supplier Intelligence – rich insight on supplier landscape, and identifies suppliers who are dominating, emerging, lounging, and specializing
    • Sourcing / Procurement Intelligence – best practices followed in the industry, identifying standard KPIs and SLAs, peer analysis, negotiation strategies to be utilized with the suppliers, and best suited countries for sourcing to minimize supply chain disruptions

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