Synopsis
This report provides a detailed analysis of investment intentions across different areas of technology in the Australian mining sector. The analysis is based upon Timetric’s survey of 100 mine, general, maintenance, and procurement managers, including other mine-site and corporate decision-makers.
The focus is on what technologies respondents currently have and in which technology they plan to invest over the next two years.
Areas of analysis include:
• Mining companies’ intentions for investments in the coming two years, across a range of mine-site technologies including UAVs/drones, remote control/machine automation, real-time video training, collision avoidance/proximity detection, energy management and predictive maintenance
• Comparisons of investment intentions across segments, including four commodity groups, three mine types, five mine-size categories and company revenues
• Comparisons highlighting differences between current and prospective investments in three major states: Western Australia, Queensland and New South Wales
• Specific insight into the software platforms each mine site is using for five different departments, with details of market leaders and software products
• Comparison of the penetration of technologies in 2014, illustrating those that have seen the greatest increase in investment
Summary
Overall trends in the data revealed:
• The primary technologies expected to see the greatest increases in penetration over the next two years are UAVs/drones, remote control/machine automation, real time video training and collision avoidance/proximity detection.
• 80% of respondents have already invested in collision avoidance, scheduling and shift optimization, tire monitoring, predictive maintenance, fleet management and environmental monitoring technology.
• UAVs/drones have the least penetration of the technologies with only 41% currently invested. This was followed by real time video training with 46% of respondents invested.
• The greatest increase in penetration over the last two years has been in collision avoidance technologies, with expectations in Timetric’s 2014 survey far exceeded. Fleet management, tyre monitoring and fatigue management technologies were other fields that also exceeded investment expectations from Timetric’s previous survey in 2014.
• Markets expected to have the greatest increases in technology penetration over the next 2 years are expected in Queensland and within the base and precious metals sectors.
• A bigger share of larger companies with revenues above US$10 billion, and the smallest, those with revenues below US$100 million, are planning investments than any other company size.
• Vulcan is the most used software, nominated by 32% of the respondents. This was followed by Surpac with 16% and Xpac with 13%.
Scope
The report is based on responses from a survey of 100 senior decision makers at operating Australian mines, responsible for the purchase of equipment for plant and mine operations, and consumables.
Survey respondents came from seven different states and territories, with Western Australia, Queensland and New South Wales covering 88% of respondents.
This included four main commodity groups and a range of surface and underground mining operations.
Reasons To Buy
• Understand which technologies have attracted, and are attracting, the most investment, and how this varies by commodity group, mine type, global company revenue and state.
• Target the segments with the greatest opportunity for technology products and services.
• Segment the market according to those fully invested, and those planning to make new investments in each technology.
Key Highlights
• The primary technologies expected to see the greatest increases in penetration over the next two years are UAVs/drones, remote control/machine automation, real time video training and collision avoidance/proximity detection.
• 80% of respondents have already invested in collision avoidance, scheduling and shift optimization, tire monitoring, predictive maintenance, fleet management and environmental monitoring technologies.
• UAVs/drones have the least penetration of the technologies with only 41% currently invested. This was followed by real time video training with 46% of respondents invested.
• The greatest increase in penetration over the last two years has been in collision avoidance technologies, with expectations in Timetric’s 2014 survey far exceeded. Fleet management, tyre monitoring and fatigue management technologies were other fields that also exceeded investment expectations from Timetric’s previous survey in 2014.
• Markets expected to have the greatest increases in technology penetration over the next 2 years are expected in Queensland and within the base and precious metals sectors.
• A bigger share of larger companies with revenues above US$10 billion, and the smallest, those with revenues below US$100 million, are planning investments than any other company size.
• Vulcan is the most used software, nominated by 32% of the respondents. This was followed by Surpac with 16% and Xpac with 13%.
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1 Executive Summary
2 Technology Investment Trends in Australian Mines
2.1 Technology Investment Comparison and Trends
2.2 Scheduling and Shift Optimization (Including Haulage and Dynamic Dispatching)
2.2.1 Mine type
2.2.2 Commodity group
2.2.3 State
2.2.4 Mine size
2.2.5 Company size
2.2.6 Raw data table
2.3 Fleet Management and Vehicle Monitoring
2.3.1 Mine type
2.3.2 Commodity group
2.3.3 State
2.3.4 Mine size
2.3.5 Company size
2.3.6 Raw data table
2.4 Tire Monitoring
2.4.1 Mine type
2.4.2 Commodity group
2.4.3 State
2.4.4 Mine size
2.4.5 Company size
2.4.6 Raw data table
2.5 Environmental Monitoring and Emissions Management
2.5.1 Mine type
2.5.2 Commodity group
2.5.3 State
2.5.4 Mine size
2.5.5 Company size
2.5.6 Raw data table
2.6 Collision Avoidance and Proximity Detection
2.6.1 Mine type
2.6.2 Commodity group
2.6.3 State
2.6.4 Mine size
2.6.5 Company size
2.6.6 Raw data table
2.7 Fatigue Management
2.7.1 Mine type
2.7.2 Commodity group
2.7.3 State
2.7.4 Mine size
2.7.5 Company size
2.7.6 Raw data table
2.8 Real-Time Video Training
2.8.1 Mine type
2.8.2 Commodity group
2.8.3 State
2.8.4 Mine size
2.8.5 Company size
2.8.6 Raw data table
2.9 Remote Control Equipment and Machine Automation
2.9.1 Mine type
2.9.2 Commodity group
2.9.3 State
2.9.4 Mine size
2.9.5 Company size
2.9.6 Raw data table
2.10 UAVs/Drones
2.10.1 Mine type
2.10.2 Commodity group
2.10.3 State
2.10.4 Mine size
2.10.5 Company size
2.10.6 Raw data table
2.11 Predictive Maintenance
2.11.1 Mine type
2.11.2 Commodity group
2.11.3 State
2.11.4 Mine size
2.11.5 Company size
2.11.6 Raw data table
2.12 Energy Management and Optimization
2.12.1 Mine type
2.12.2 Commodity group
2.12.3 State
2.12.4 Mine size
2.12.5 Company size
2.12.6 Raw data table
3 Preferences for Software Platforms
3.1 Top Software by Commodity Group
4 Priorities For Future Technology Investments
4.1.1 Priorities for technology investments by commodity group
4.1.2 Priorities for technology investments by state
5 Summary
6 Appendix I
6.1 Selected Data Tables
7 Appendix II
7.1 What is this report about?
7.2 Methodology
7.3 Definitions
7.4 Contact Timetric
7.5 About Timetric
7.6 Disclaimer
Table 1: Scheduling and Shift Optimization Investments and Intentions by Segment (%), Q4 2015
Table 2: Fleet Management and Vehicle Monitoring Investments and Intentions Raw Data (%), Q4 2015
Table 3: Tire Monitoring Investments and Intentions Raw Data (%), Q4 2015
Table 4: Environmental Monitoring and Emissions Management Investments and Intentions Raw Data (%), Q4 2015
Table 5: Collision Avoidance and Proximity Detection Investments and Intentions Raw Data (%), Q4 2015
Table 6: Fatigue Management Investments and Intentions Raw Data (%), Q4 2015
Table 7: Real-Time Video Training Investments and Intentions Raw Data (%), Q4 2015
Table 8: Remote Control Equipment and Machine Automation Investments and Intentions Raw Data (%), Q4 2015
Table 9: UAVs and Drones Investments and Intentions Raw Data (%), Q4 2015
Table 10: Predictive Maintenance Investments and Intentions Raw Data (%), Q4 2015
Table 11: Energy Management and Optimization Investments and Intentions Raw Data (%), Q4 2015
Table 12: Top Software Platforms in Use in Different Departments (%), Q4 2015
Table 13: Priorities for Technology Investments by Commodity Group (%), Q4 2015
Table 14: Priorities for Priorities for Technology Investments by State (%), Q4 2015
Figure 1: Investment Trends and Intentions in a Range of Technologies for the Next Two Years (%), Q4 2015
Figure 2: Trends in Penetration of Key Technologies (%), 2014 - 2016
Figure 3: Scheduling and Shift Optimization Investments and Intentions by Mine Type (%), Q4 2015
Figure 4: Scheduling and Shift Optimization Investments and Intentions by Commodity (%), Q4 2015
Figure 5: Scheduling and Shift Optimization Investments and Intentions by State (%), Q4 2015
Figure 6: Scheduling and Shift Optimization Investments and Intentions by Mine Size (%), Q4 2015
Figure 7: Scheduling and Shift Optimization Investments and Intentions by Company Size (%), Q4 2015
Figure 8: Fleet Management and Vehicle Monitoring Investments and Intentions by Mine Type (%), Q4 2015
Figure 9: Fleet Management and Vehicle Monitoring Investments and Intentions by Commodity Group (%), Q4 2015
Figure 10: Fleet Management and Vehicle Monitoring Investments and Intentions by State (%), Q4 2015
Figure 11: Fleet Management and Vehicle Monitoring Investments and Intentions by Mine Size (%), Q4 2015
Figure 12: Fleet Management and Vehicle Monitoring Investments and Intentions by Company Size (%), Q4 2015
Figure 13: Tire Monitoring Investments and Intentions by Mine Type (%), Q4 2015
Figure 14: Tire Monitoring Investments and Intentions by Commodity Group (%), Q4 2015
Figure 15: Tire Monitoring Investments and Intentions by State (%), Q4 2015
Figure 16: Tire Monitoring Investments and Intentions by Mine Size (%), Q4 2015
Figure 17: Tire Monitoring Investments and Intentions by Company Size (%), Q4 2015
Figure 18: Environmental Monitoring and Emissions Management Investments and Intentions by Mine Type (%), Q4 2015
Figure 19: Environmental Monitoring and Emissions Management Investments and Intentions by Commodity Group (%), Q4 2015
Figure 20: Environmental Monitoring and Emissions Management Investments and Intentions by State (%), Q4 2015
Figure 21: Environmental Monitoring and Emissions Management Investments and Intentions by Mine Size (%), Q4 2015
Figure 22: Environmental Monitoring and Emissions Management Investments and Intentions by Company Size (%), Q4 2015
Figure 23: Collision Avoidance and Proximity Detection Investments and Intentions by Mine Type (%), Q4 2015
Figure 24: Collision Avoidance and Proximity Detection Investments and Intentions by Commodity Group (%), Q4 2015
Figure 25: Collision Avoidance and Proximity Detection Investments and Intentions by State (%), Q4 2015
Figure 26: Collision Avoidance and Proximity Detection Investments and Intentions by Mine Size (%), Q4 2015
Figure 27: Collision Avoidance and Proximity Detection Investments and Intentions by Company Size (%), Q4 2015
Figure 28: Fatigue Management Investments and Intentions by Mine Type (%), Q4 2015
Figure 29: Fatigue Management Investments and Intentions by Commodity Group (%), Q4 2015
Figure 30: Fatigue Management Investments and Intentions by State (%), Q4 2015
Figure 31: Fatigue Management Investments and Intentions by Mine Size (%), Q4 2015
Figure 32: Fatigue Management Investments and Intentions by Company Size (%), Q4 2015
Figure 33: Real-Time Video Training Investments and Intentions by Mine Type, Q4 2015
Figure 34: Real-Time Video Training Investments and Intentions by Commodity Group, Q4 2015
Figure 35: Real-Time Video Training Investments and Intentions by State (%), Q4 2015
Figure 36: Real-Time Video Training Investments and Intentions by Mine Size (%), Q4 2015
Figure 37: Real-Time Video Training Investments and Intentions by Company Size (%), Q4 2015
Figure 38: Remote Control Equipment and Machine Automation Investments and Intentions by Mine Type (%), Q4 2015
Figure 39: Remote Control Equipment and Machine Automation Investments and Intentions by Commodity Group (%), Q4 2015
Figure 40: Remote Control Equipment and Machine Automation Investments and Intentions by State (%), Q4 2015
Figure 41: Remote Control Equipment and Machine Automation Investments and Intentions by Mine Size (%), Q4 2015
Figure 42: Remote Control Equipment and Machine Automation Investments and Intentions by Company Size (%), Q4 2015
Figure 43: UAVs/ Drones Investments and Intentions by Mine Type (%), Q4 2015
Figure 44: UAVs/ Drones Investments and Intentions by Commodity Group (%), Q4 2015
Figure 45: UAVs/ Drones Investments and Intentions by State (%), Q4 2015
Figure 46: UAVs/ Drones Investments and Intentions by Mine Size (%), Q4 2015
Figure 47: UAVs/ Drones Investments and Intentions by Company Size (%), Q4 2015
Figure 48: Predictive Maintenance Investments and Intentions by Mine Type, Q4 2015
Figure 49: Predictive Maintenance Investments and Intentions by Commodity Group (%), Q4 2015
Figure 50: Predictive Maintenance Investments and Intentions by State (%), Q4 2015
Figure 51: Predictive Maintenance Investments and Intentions by Mine Size (%), Q4 2015
Figure 52: Predictive Maintenance Investments and Intentions by Company Size (%), Q4 2015
Figure 53: Energy Management and Optimization Investments and Intentions by Mine Type (%), Q4 2015
Figure 54: Energy Management and Optimization Investments and Intentions by Commodity Type (%), Q4 2015
Figure 55: Energy Management and Optimization Investments and Intentions by State (%), Q4 2015
Figure 56: Energy Management and Optimization Investments and Intentions by Mine Size (%), Q4 2015
Figure 57: Energy Management and Optimization Investments and Intentions by Company Size (%), Q4 2015
Figure 58: Top Software Platforms in Use in Different Departments (%), Q4 2015
Figure 59: Top Software Platforms in Use Across Different Departments (%), Q4 2015
Figure 60: Priorities for Technology Investments (%), Q4 2015
Figure 61: Priorities for Technology Investments by Commodity Group (%), Q4 2015
Figure 62: Priorities for Technology Investments by State (%), Q4 2015
