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市場調查報告書

亞太地區的礦業的技術投資的優先順序

Technology Investment Priorities in Mining in Asia-Pacific 2016

出版商 GlobalData 商品編碼 367447
出版日期 內容資訊 英文 70 Pages
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亞太地區的礦業的技術投資的優先順序 Technology Investment Priorities in Mining in Asia-Pacific 2016
出版日期: 2016年08月22日 內容資訊: 英文 70 Pages
簡介

本報告提供亞太地區的礦業的技術投資的優先順序調查分析,以礦山管理者、採購管理者、其他決策者的採訪為基礎,提供重機的評估,礦業軟體、技術、維護等領域的慣行和偏好等相關的系統性資訊。

第1章 摘要整理

第2章 亞太地區的技術投資趨勢

  • 技術投資比較與趨勢
  • 調度、轉移最佳化
    • 礦山各類型
    • 商品各群組
    • 各國
    • ROM各規模
    • 企業各收益
    • 資料
  • 車隊管理、車輛監測
  • 輪胎監測
  • 環境監測、排放管理
  • 避免碰撞、接近偵測
  • 疲勞管理
  • 即時視訊訓練
  • 遠隔控制設備、機器自動化
  • UAV/無人機
  • 預知保全
  • 能源管理、最佳化

第3章 軟體平台的偏好

  • 主要軟體:各商品群組

第4章 未來技術投資的優先順序

  • 技術投資的優先順序:各商品群組
  • 印度、印尼、菲律賓的技術投資的優先順序

第5章 摘要

第6章 附錄1

第7章 附錄2

圖表

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目錄
Product Code: MMIN0031MR

Traditionally, Asia has been more associated with demand and consumption, rather than the production of commodities, with China at the forefront. However, the region is a large-scale miner of raw materials, with China, India and Indonesia making up three of the top five producers of coal globally. India was the world's third-largest exporter of iron ore, until mining bans impacted exports in 2011. India and Indonesia have both recorded growth in their mining industries, while Vietnam, Mongolia and the Philippines are looking to expand.

During the first quarter of 2016, GlobalData surveyed over 110 mine, maintenance and procurement managers, and other key decision-makers currently working across 93 mines operating throughout the Asia-Pacific, primarily covering India, Indonesia and the Philippines. Respondents were asked to identify which have been implemented on their sites, from a range of different technologies. For those technologies not currently implemented, respondents were asked whether the mine is looking to make new investments in those fields over the next two years to 2018. Other sections of the survey investigated the specific software platforms used across different areas of the operation, as well as which specific technology investments are priorities.

Key findings included:

  • Much like in other mining regions, environmental monitoring technologies had the highest rate of penetration throughout the Asia-Pacific, with 83% of mines surveyed already having invested in the technology. This was the only technology invested in by more than 80% of mines. It was followed by four technologies with similar rates of penetration - predictive maintenance (71%), energy management and optimization (70%), scheduling and shift optimization with fleet management (69%), and vehicle monitoring (69%).
  • Unmanned aerial vehicles (UAVs), or drone technology, while having the lowest penetration rate of 17%, had the highest share of mines planning on making new investments over the next two years (40%). This was closely followed by remote control and machine automation technology, both with 30% planning to invest, compared with 34% of mines having currently invested.
  • Mines were asked to nominate the software platform currently used onsite across five different departments. Geovia's Surpac was the most widely implemented, with between 24% and 37% of mines using this software in each of the five areas. This was followed by Minex, another of Geovia's platforms.

The report “Technology Investment Priorities in Mining in Asia-Pacific 2016 ” is based on responses from a survey of over 110 senior decision makers at operating mines in Asia-Pacific, responsible for the purchase of equipment for plant and mine operations, along with its consumables and services. Survey respondents came from 8 different countries including: India, Indonesia and the Philippines. This included four different commodity groups and a range of surface and underground mining operations.

In particular, this report provides the following analysis:

  • Provides a detailed analysis of investment intentions across different areas of technology in the Asia-pacific industry.
  • Focus is on what technologies mines currently have and in which technologies they are planning to invest over the next two years.
  • Identifies trends in the use of technology, investment priorities and the anticipated future penetration of technology, as well as the market share of different software platforms throughout the Asia-Pacific.

Companies mentioned in this report: GEOVIA, Caterpillar, Caterpillar, Wenco International Mining, Leica, Modular, Michelin, Bridgestone, Goodyear, GE Mining, Hexagon Mining, Becker Electronics, Komatsu, Joy Global, Advanced Mining Technologies, CRCMining, FLIR Systems, Orica, AutoCAD, RungePincockMinarco, ABB.

Table of Contents

1 Executive Summary

2 Technology Investment Trends in Asia-Pacific

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 Country

2.2.4 ROM size

2.2.5 Company revenue

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 Country

2.3.4 ROM size

2.3.5 Company revenue

2.3.6 Raw data table

2.4 Tire Monitoring

2.4.1 Mine type

2.4.2 Commodity group

2.4.3 Country

2.4.4 ROM size

2.4.5 Company revenue

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 Country

2.5.4 ROM size

2.5.5 Company revenue

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 Country

2.6.4 ROM size

2.6.5 Company revenue

2.6.6 Raw data table

2.7 Fatigue Management

2.7.1 Mine type

2.7.2 Commodity group

2.7.3 Country

2.7.4 ROM size

2.7.5 Company revenue

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 Country

2.8.4 ROM size

2.8.5 Company revenue

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 Country

2.9.4 ROM size

2.9.5 Company revenue

2.9.6 Raw data table

2.10 UAVs/Drones

2.10.1 Mine type

2.10.2 Commodity group

2.10.3 Country

2.10.4 ROM size

2.10.5 Company revenue

2.10.6 Raw data table

2.11 Predictive Maintenance

2.11.1 Mine type

2.11.2 Commodity group

2.11.3 Country

2.11.4 ROM size

2.11.5 Company revenue

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 Country

2.12.4 ROM size

2.12.5 Company revenue

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 Priorities for Technology Investments by Commodity Group

4.2 Priorities for Technology Investments in India, Indonesia and the Philippines

5 Summary

6 Appendix I

6.1 Selected Data Tables

7 Appendix II

7.1 Survey Background

7.2 Analysis of the Survey Sample

8 Appendix III

8.1 What is This Report About?

8.2 Methodology

8.3 Definitions

8.4 Contact GlobalData

8.5 About GlobalData

8.6 Disclaimer

List of Tables

  • Table 1: Scheduling and Shift Optimization Investments and Intentions by Segment (%), Q2 2016
  • Table 2: Fleet Management and Vehicle Monitoring Investments and Intentions by Segment (%), Q2 2016
  • Table 3: Tire Monitoring Investments and Intentions Raw Data (%), Q2 2016
  • Table 4: Environmental Monitoring and Emissions Management Investments and Intentions Raw Data (%), Q2 2016
  • Table 5: Collision Avoidance and Proximity Detection Investments and Intentions Raw Data (%), Q2 2016
  • Table 6: Fatigue Management Investments and Intentions Raw Data (%), Q2 2016
  • Table 7: Real-Time Video Training Investments and Intentions Raw Data (%), Q2 2016
  • Table 8: Remote Control Equipment and Machine Automation Investments and Intentions Raw Data (%), Q2 2016
  • Table 9: UAVs and Drones Investments and Intentions Raw Data (%), Q2 2016
  • Table 10: Predictive Maintenance Investments and Intentions Raw Data (%), Q2 2016
  • Table 11: Energy Management and Optimization Investments and Intentions Raw Data (%), Q2 2016
  • Table 12: Main Technology Categories with Responses, Q2 2016
  • Table 13: Top Software Platforms in Use in Different Departments (%), Q2 2016
  • Table 14: Priorities for Technology Investments by Commodity Group, Q2 2016 (number of mentions)
  • Table 15: Priorities for Technology Investments in South Africa and Zambia, Q2 2016 (number of mentions)

List of Figures

  • Figure 1: Investment Trends and Intentions in a Range of Technologies Over the Next Two Years (%), 2016
  • Figure 2: Comparisons of Penetration of Four Technologies (%), 2014-2016
  • Figure 3: Scheduling and Shift Optimization Investments and Intentions by Mine Type (%), Q2 2016
  • Figure 4: Scheduling and Shift Optimization Investments and Intentions by Commodity (%), Q2 2016
  • Figure 5: Scheduling and Shift Optimization Investments and Intentions by Country (%), Q2 2016
  • Figure 7: Scheduling and Shift Optimization Investments and Intentions by Company Revenue (%), Q2 2016
  • Figure 8: Fleet Management and Vehicle Monitoring Investments and Intentions by Mine Type (%), Q2 2016
  • Figure 9: Fleet Management and Vehicle Monitoring Investments and Intentions by Commodity Group (%), Q2 2016
  • Figure 10: Fleet Management and Vehicle Monitoring Investments and Intentions by Country (%), Q2 2016
  • Figure 12: Fleet Management and Vehicle Monitoring Investments and Intentions by Company Revenue (%), Q2 2016
  • Figure 13: Tire Monitoring Investments and Intentions by Mine Type (%), Q2 2016
  • Figure 14: Tire Monitoring Investments and Intentions by Commodity Group (%), Q2 2016
  • Figure 15: Tire Monitoring Investments and Intentions by Country(%), Q2 2016
  • Figure 16: Tire Monitoring Investments and Intentions by ROM Size (%), Q2 2016
  • Figure 17: Tire Monitoring Investments and Intentions by Company Revenue (%), Q2 2016
  • Figure 18: Environmental Monitoring and Emissions Management Investments and Intentions by Mine Type (%), Q2 2016
  • Figure 19: Environmental Monitoring and Emissions Management Investments and Intentions by Commodity Group (%), Q2 2016
  • Figure 20: Environmental Monitoring and Emissions Management Investments and Intentions by Country(%), Q2 2016
  • Figure 21: Environmental Monitoring and Emissions Management Investments and Intentions by ROM Size (%), Q2 2016
  • Figure 22: Environmental Monitoring and Emissions Management Investments and Intentions by Company Revenue (%), Q2 2016
  • Figure 23: Collision Avoidance and Proximity Detection Investments and Intentions by Mine Type (%), Q2 2016
  • Figure 24: Collision Avoidance and Proximity Detection Investments and Intentions by Commodity Group (%), Q2 2016
  • Figure 25: Collision Avoidance and Proximity Detection Investments and Intentions by Country(%), Q2 2016
  • Figure 26: Collision Avoidance and Proximity Detection Investments and Intentions by ROM Size (%), Q2 2016
  • Figure 27: Collision Avoidance and Proximity Detection Investments and Intentions by Company Revenue (%), Q2 2016
  • Figure 28: Fatigue Management Investments and Intentions by Mine Type (%), Q2 2016
  • Figure 29: Fatigue Management Investments and Intentions by Commodity Group (%), Q2 2016
  • Figure 30: Fatigue Management Investments and Intentions by Country (%), Q2 2016
  • Figure 31: Fatigue Management Investments and Intentions by ROM Size (%), Q2 2016
  • Figure 32: Fatigue Management Investments and Intentions by Company Revenue (%), Q2 2016
  • Figure 33: Real-Time Video Training Investments and Intentions by Mine Type, Q2 2016
  • Figure 34: Real-Time Video Training Investments and Intentions by Commodity Group, Q2 2016
  • Figure 35: Real-Time Video Training Investments and Intentions by Country(%), Q2 2016
  • Figure 36: Real-Time Video Training Investments and Intentions by ROM Size (%), Q2 2016
  • Figure 37: Real-Time Video Training Investments and Intentions by Company Revenue (%), Q2 2016
  • Figure 38: Remote Control Equipment and Machine Automation Investments and Intentions by Mine Type (%), Q2 2016
  • Figure 39: Remote Control Equipment and Machine Automation Investments and Intentions by Commodity Group (%), Q2 2016
  • Figure 40: Remote Control Equipment and Machine Automation Investments and Intentions by Country(%), Q2 2016
  • Figure 41: Remote Control Equipment and Machine Automation Investments and Intentions by ROM Size (%), Q2 2016
  • Figure 42: Remote Control Equipment and Machine Automation Investments and Intentions by Company Revenue (%), Q2 2016
  • Figure 43: UAVs/Drones Investments and Intentions by Mine Type (%), Q2 2016
  • Figure 44: UAVs/ Drones Investments and Intentions by Commodity Group (%), Q2 2016
  • Figure 45: UAVs/ Drones Investments and Intentions by Country(%), Q2 2016
  • Figure 46: UAVs/ Drones Investments and Intentions by ROM Size (%), Q2 2016
  • Figure 47: UAVs/ Drones Investments and Intentions by Company Revenue (%), Q2 2016
  • Figure 48: Predictive Maintenance Investments and Intentions by Mine Type, Q2 2016
  • Figure 49: Predictive Maintenance Investments and Intentions by Commodity Group (%), Q2 2016
  • Figure 50: Predictive Maintenance Investments and Intentions by Country(%), Q2 2016
  • Figure 51: Predictive Maintenance Investments and Intentions by ROM Size (%), Q2 2016
  • Figure 52: Predictive Maintenance Investments and Intentions by Company Revenue (%), Q2 2016
  • Figure 53: Energy Management and Optimization Investments and Intentions by Mine Type (%), Q2 2016
  • Figure 54: Energy Management and Optimization Investments and Intentions by Commodity Type (%), Q2 2016
  • Figure 55: Energy Management and Optimization Investments and Intentions by Country(%), Q2 2016
  • Figure 56: Energy Management and Optimization Investments and Intentions by ROM Size (%), Q2 2016
  • Figure 57: Energy Management and Optimization Investments and Intentions by Company Revenue (%), Q2 2016
  • Figure 58: Top Software Platforms in Use in Different Mine Site Departments (%), Q2 2016
  • Figure 59: Top Software Platforms in Use Across Different Commodity Categorys (%), Q2 2016
  • Figure 60: Priorities for Technology Investments (%), Q2 2016
  • Figure 61: Priorities for Technology Investments by Commodity Group (%), Q2 2016
  • Figure 62: Priorities for Technology Investments by Country(%), Q2 2016
  • Figure 63: Asia-Pacific Mines by Major Country (%), Q2 2016
  • Figure 64: Asia-Pacific Mines by Type (%), Q2 2016
  • Figure 65: Asia-Pacific Mines by Commodity (%), Q2 2016
  • Figure 66: Asia-Pacific Mines by Company Revenue (%), Q2 2016
  • Figure 67: Asia-Pacific Mines by Mine Size (%), Q2 2016
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