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市场调查报告书
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1940556

自动化采矿设备：市场占有率分析、产业趋势与统计、成长预测（2026-2031）

Automated Mining Equipment - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026 - 2031)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

2025年自动化采矿设备市值为37.4亿美元，预计2031年将达到55.3亿美元，高于2026年的39.9亿美元。

预计在预测期（2026-2031 年）内，复合年增长率将达到 6.74%。

自动化采矿设备市场-IMG1

持续的劳动力短缺、严格的安全法规以及不断增加的成本压力正在加速自动驾驶设备的普及，而成熟的传感器、软体和连接技术则持续降低技术风险并提高投资回报率。儘管由于自动驾驶卡车、钻孔机和装载机等设备的资本密集特性，硬体仍然是最大的收入来源，但随着矿业营运商寻求透过先进的车队管理和分析平台来提高生产力，软体的成长速度正在超越所有其他组件。虽然地面作业仍然是自动驾驶设备应用的主流，但地下5G通讯和无GPS导航技术的最新突破正推动地下自动化走上更快的发展轨道。亚太地区已建立了最大的区域基地，光是澳洲就拥有706辆自动驾驶自卸自动卸货卡车。同时，中东和非洲地区正经历最快的成长，沙乌地阿拉伯和南非的旗舰计划证明了全数位化矿场的可行性。随着矿业营运商对能够整合不同类型车队的开放式架构的需求不断增长，供应商之间的竞争正围绕着可互通的生态系统展开，这既推动了现有企业的整合，也促使以软体为中心的新挑战者不断涌入。

全球自动化采矿设备市场趋势与洞察

对生产力和工人安全的需求日益增长

当矿场同时实现生产率提升和安全改善时，自动化技术的普及速度就会加快。 Northparks 的半自动铲运机（LHD）使产量提高了 20%，并消除了铲运机操作员的工伤事故，展现了双重效益，引起了经营团队和监管机构的共鸣。力拓的自动驾驶卡车每年运作增加 700 小时，成本降低了 15%，这反映了自动化在物料搬运、维护和调度方面的系统性影响。必和必拓报告称，其 367 辆卡车的事故率降低了 80%，证实了远端控制、零伤害作业的社会认可。 ISO 23725:2024 确立了安全性和互通性的基准标准，进一步降低了实施风险的感知，并简化了车队升级的采购流程。

成熟矿区劳动力短缺日益严重

到2029年，美国西部超过50%的矿业工人将退休，而招聘速度跟不上人员更替的需求。澳洲的承包商，例如MACA，正在转向无人驾驶的电池式电动车，以弥补技能短缺并稳定生产。远端营运中心使数量日益减少的熟练操作员能够管理多个矿场，从而将劳动力重新分配到技术领域。矿业公司和技术教育机构正在合作开发以自动化为重点的课程，在不增加人员成本的情况下，确保劳动力能够适应未来的发展。

高额的初始资本投入与复杂的整合

要实现完全自主需要昂贵的设备维修、现场网路升级和员工技能再培训，所有这些都可能导致漫长的投资回收期，并加重中型企业本已脆弱的财务状况。整合工作历来繁琐，尤其是在混合车队环境中，专有资料通讯协定迫使企业客製化中间件，并导致企业被单一原始设备製造商 (OEM) 锁定，从而造成高昂的成本。虽然新兴的计量收费模式和第三方整合中心正在减轻这一负担，但资金障碍仍然是大规模采用的最大障碍。

细分市场分析

到2025年，硬体将占自动化采矿设备市场62.20%的份额，这主要得益于高价值卡车、钻机和装载机的强劲增长，它们是自动驾驶项目的核心。挖土机仍然是最大的细分市场，随着原始设备製造商（OEM）推出可减少排放气体并加快作业週期的自动驾驶车型，挖土机自动化采矿设备市场预计将稳定成长。装载、运输和倾倒（LHD）机械正经历着从手动操作到自动操作的最快转型，山特维克（Sandvik）的电池电动驱动LH518iB可缩短作业週期，从而加快投资回收期。

软体和服务合计以7.22%的复合年增长率成长，在收入组成中所占比例越来越高，因为矿业营运商将分析和决策自动化视为企业级优化的关键。 Wenco基于开放标准的车队平台支援「众包」采矿，演算法可将多个资产调度为一个单一的资源池，凸显了资料编配在价值创造方面超越机械功率的趋势。咨询和远端系统管理服务加强了与供应商的关係，并将资本预算转化为持续的营运支出。

区域分析

预计到2025年，亚太地区的收入份额将达到37.60%，这反映了澳洲自动驾驶卡车车队的建立以及中国无人驾驶计划的加速发展。新南威尔斯州向无人驾驶交通的转型已连续多年保持零事故记录，这一案例引起了全部区域监管机构的共鸣。日本零件供应商正在出口高解析度雷射雷达和加固型边缘处理器，从而促进了创新循环，并支持了更广泛的区域生态系统的发展。

中东和非洲地区虽然绝对规模较小，却是成长最快的地区，预计年复合成长率将达到7.95%。沙乌地阿拉伯的曼苏拉马萨拉金矿正在实施一项「从矿山到大门」的数位化策略，该策略将海克斯康的矿山生命週期平台与日本小松公司AHS卡车相结合，取得了超越传统开发阶段的成果。南非的深层金矿和铂族金属矿正在利用自主技术来降低地震风险和通风成本，这预示着未来地下机器人技术将能够弥补恶劣地质条件的不足。

北美在研发领域处于领先地位，透过建立伙伴关係，将原始设备製造商 (OEM)、通讯业者和半导体公司聚集在一起。内华达黄金矿业公司在其全部 300 吨车队中部署支援 5G 的「FrontRunner」卡车，凸显了互联互通仍然是规模化发展的一大障碍。加拿大维持对远端控制的纯电动卡车部署的政策奖励，而欧洲则将自动驾驶技术与碳价格讯号相结合，以加速其商业化进程。拉丁美洲的大型铜矿正在利用自动驾驶技术来解决高海拔地区的劳动力短缺问题，但薄弱的无线电法规阻碍了网路升级。

其他福利：

  • Excel格式的市场预测（ME）表
  • 3个月的分析师支持

目录

第一章 引言

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章 市场情势

  • 市场概览
  • 市场驱动因素
    • 对生产效率和工人安全的要求日益提高
    • 成熟矿区劳动力短缺日益严重
    • 透过自动化降低成本
    • 自动驾驶交通领域感测器和人工智慧整合技术的进步
    • 以环境、社会和治理（ESG）主导，转型为偏远、零伤害矿场
    • 中型矿场自主式地下铲运机改造快速成长
  • 市场限制
    • 初始投资高，整合复杂
    • 联网车队的网路安全漏洞
    • 传统车辆的多样性阻碍了互通性
    • 深层地下矿井中高频宽连结的局限性
  • 产业价值链分析
  • 监管环境
  • 技术展望
  • 波特五力分析
    • 供应商的议价能力
    • 买方的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争对手之间的竞争
  • 对宏观经济趋势的市场评估

第五章 市场规模与成长预测

  • 按组件
    • 硬体
      • 挖土机
      • 装载、运输和倾倒
      • 自动驾驶卡车
      • 钻孔机和破碎机
      • 其他设备
    • 软体
    • 服务
  • 透过采矿技术
    • 露天采矿
    • 地下采矿
  • 透过使用
    • 金属
    • 矿物
    • 煤炭
  • 按地区
    • 北美洲
      • 我们
      • 加拿大
      • 墨西哥
    • 南美洲
      • 巴西
      • 阿根廷
      • 其他南美洲
    • 欧洲
      • 德国
      • 英国
      • 法国
      • 义大利
      • 西班牙
      • 其他欧洲地区
    • 亚太地区
      • 中国
      • 日本
      • 印度
      • 韩国
      • 新加坡
      • 澳洲
      • 马来西亚
      • 亚太其他地区
    • 中东和非洲
      • 中东
        • 沙乌地阿拉伯
        • 阿拉伯聯合大公国
        • 其他中东地区
      • 非洲
        • 南非
        • 埃及
        • 其他非洲地区

第六章 竞争情势

  • 市场集中度
  • 策略趋势
  • 市占率分析
  • 公司简介
    • Rockwell Automation Inc.
    • ABB Ltd.
    • Autonomous Solutions Inc.（ASI Mining）
    • Hexagon AB
    • Trimble Inc.
    • Hitachi Ltd.
    • Caterpillar Inc.
    • Komatsu Ltd.
    • Atlas Copco Inc.
    • AB Volvo Inc.
    • Sandvik AB
    • Epiroc AB
    • Liebherr Group
    • Wenco International Mining Systems
    • MICROMINE Inc.
    • RPMGlobal Inc.
    • Flanders Electric Inc.（Flanders）
    • BelAZ Inc.
    • Hitachi Construction Machinery Digital Solutions
    • Rio Tinto Inc.

第七章 市场机会与未来展望

简介目录
Product Code: 66944

The Automated Mining Equipment Market was valued at USD 3.74 billion in 2025 and estimated to grow from USD 3.99 billion in 2026 to reach USD 5.53 billion by 2031, at a CAGR of 6.74% during the forecast period (2026-2031).

Automated Mining Equipment - Market - IMG1

Persistent labor shortages, stringent safety mandates, and escalating cost-reduction pressures are accelerating autonomous adoption, while maturing sensor, software, and connectivity technologies continue to lower technical risk and boost return on investment. Hardware remains the largest revenue contributor thanks to the capital-intensive nature of autonomous trucks, drills, and loaders, yet software is outpacing all other components as mine operators unlock higher productivity through advanced fleet-management and analytics platforms. Surface operations still dominate deployment volumes, but recent breakthroughs in underground 5G and GPS-independent navigation are pushing subterranean automation onto a steeper growth trajectory. Asia-Pacific commands the largest regional foothold, anchored by Australia's 706 autonomous haul trucks, whereas Middle East and Africa shows the fastest growth as flagship projects in Saudi Arabia and South Africa demonstrate the viability of fully digital mines. Vendor competition is coalescing around interoperable ecosystems as miners demand open architectures that can knit together mixed fleets, spurring both consolidation among incumbents and a steady influx of software-centric challengers.

Global Automated Mining Equipment Market Trends and Insights

Growing Demand for Productivity and Worker Safety

Adoption accelerates when mines achieve simultaneous productivity gains and safety improvements. Northparkes' semi-automated LHDs lifted output 20% and eradicated loader injuries, illustrating the dual benefits that resonate with executives and regulators alike. Rio Tinto's autonomous trucks run 700 more hours per year and cut costs 15%, proving the systemic leverage of automation across haulage, maintenance, and dispatch. BHP reported an 80% accident reduction across a 367-truck fleet, reinforcing the social-license advantages of remote, zero-harm operations. ISO 23725:2024 establishes baseline safety and interoperability standards, further lowering perceived implementation risk and smoothing procurement cycles for fleet upgrades.

Rising Labor Shortages in Mature Mining Regions

More than 50% of the Western U.S. mining workforce will retire by 2029, and recruitment pipelines lag replacement needs. Australian contractors such as MACA are turning to driverless battery-electric vehicles to plug skills gaps and stabilize production. Remote operation centers let a shrinking pool of skilled operators run multiple sites, creating a redistribution of labor that is fundamentally technology-centric. Partnerships between miners and technical institutes are building automation-focused curricula, ensuring a future-ready workforce without inflating headcount costs.

High Upfront CAPEX and Complex Integration

Full-scale autonomy demands expensive equipment retrofits, site network upgrades, and workforce reskilling, all translating into lengthy payback periods that can stretch thin mid-tier balance sheets. Integration is notoriously cumbersome in mixed fleets where proprietary data protocols force bespoke middleware or costly lock-in to a single OEM. Emerging consumption-based models and third-party integration hubs are softening the blow, yet capital hurdles remain the largest friction to mass adoption.

Other drivers and restraints analyzed in the detailed report include:

  1. Cost-Reduction Initiatives via Automation
  2. Advancements in Sensor and AI Integration for Autonomous Haulage
  3. Cyber-Security Vulnerabilities in Connected Fleets

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Hardware captured 62.20% automated mining equipment market share in 2025 on the back of high-value trucks, drills, and loaders that form the backbone of autonomy programs. Excavators remain the largest sub-segment, and the automated mining equipment market size for excavators is expected to climb steadily as OEMs release autonomy-ready models tuned for lower emissions and quicker duty cycles. Load-haul-dump (LHD) machinery is transitioning fastest from manual to autonomous, with Sandvik's battery-electric LH518iB demonstrating cycle-time gains that accelerate payback periods.

Software and services together grow at 7.22% CAGR, reaching a proportionally larger slice of the revenue pie as mines view analytics and decision-automation as the key to enterprise-wide optimization. Wenco's open-standards fleet platform now allows "swarm" mining, where algorithms schedule multiple assets as a single resource pool, underscoring how data orchestration overtakes mechanical horsepower in value creation. Consulting and remote-management services add stickiness to vendor relationships, redirecting capital budgets into ongoing operating expenditure.

The Automated Mining Equipment Market Report is Segmented by Component (Hardware, Software, and Services), Mining Technique (Surface Mining, and Underground Mining), Application (Metal, Mineral, and Coal), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Geography Analysis

Asia-Pacific's 37.60% revenue share in 2025 reflects entrenched autonomous truck fleets in Australia and accelerating unmanned projects in China. New South Wales operations posted multi-year accident-free records after shifting to driverless haulage, a proof point that resonates with regulators across the region. Japanese component suppliers feed innovation loops by exporting high-resolution LiDAR and ruggedized edge processors, undergirding the broader regional ecosystem.

Middle East and Africa, although smaller in absolute terms, is the fastest-growing geography with an 7.95% CAGR outlook. Saudi Arabia's Mansourah Massarah mine showcases a cradle-to-gate digital strategy, blending Hexagon's life-of-mine platform with Komatsu AHS trucks to leapfrog legacy development stages. South Africa's deep-level gold and PGM mines lean on autonomy to mitigate seismic risk and ventilation costs, pointing to a future where underground robotics compensates for extreme geotechnical conditions.

North America sits at the bleeding edge of R&D partnerships linking OEMs, telcos, and semiconductor firms. Nevada Gold Mines' 5G-enabled FrontRunner roll-out across 300-tonne trucks underscores how connectivity is now a gating factor for scale. Canada maintains policy incentives for tele-remote and battery-electric adoption, while Europe couples autonomy with carbon-pricing signals to accelerate the business case. Latin America's giant copper belts harness autonomy to offset high altitude labor constraints, yet patchy spectrum regulation slows network upgrades.

  1. Rockwell Automation Inc.
  2. ABB Ltd.
  3. Autonomous Solutions Inc. (ASI Mining)
  4. Hexagon AB
  5. Trimble Inc.
  6. Hitachi Ltd.
  7. Caterpillar Inc.
  8. Komatsu Ltd.
  9. Atlas Copco Inc.
  10. AB Volvo Inc.
  11. Sandvik AB
  12. Epiroc AB
  13. Liebherr Group
  14. Wenco International Mining Systems
  15. MICROMINE Inc.
  16. RPMGlobal Inc.
  17. Flanders Electric Inc. (Flanders)
  18. BelAZ Inc.
  19. Hitachi Construction Machinery Digital Solutions
  20. Rio Tinto Inc.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Growing demand for productivity and worker safety
    • 4.2.2 Rising labor shortages in mature mining regions
    • 4.2.3 Cost-reduction initiatives via automation
    • 4.2.4 Advancements in sensor and AI integration for autonomous haulage
    • 4.2.5 ESG-driven shift to remote zero-harm mines
    • 4.2.6 Surge in autonomous underground LHD retrofits at mid-tier sites
  • 4.3 Market Restraints
    • 4.3.1 High upfront CAPEX and complex integration
    • 4.3.2 Cyber-security vulnerabilities in connected fleets
    • 4.3.3 Legacy fleet heterogeneity hampers interoperability
    • 4.3.4 Limited high-bandwidth connectivity in deep-underground mines
  • 4.4 Industry Value Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Porter's Five Forces Analysis
    • 4.7.1 Bargaining Power of Suppliers
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Threat of New Entrants
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Intensity of Competitive Rivalry
  • 4.8 Assessment of Macro-economic Trends on the Market

5 MARKET SIZE AND GROWTH FORECASTS (VALUES)

  • 5.1 By Component
    • 5.1.1 Hardware
      • 5.1.1.1 Excavators
      • 5.1.1.2 Load Haul Dump
      • 5.1.1.3 Robotic truck
      • 5.1.1.4 Drillers and Breakers
      • 5.1.1.5 Other Equipments
    • 5.1.2 Software
    • 5.1.3 Services
  • 5.2 By Mining Technique
    • 5.2.1 Surface Mining
    • 5.2.2 Underground Mining
  • 5.3 By Application
    • 5.3.1 Metal
    • 5.3.2 Mineral
    • 5.3.3 Coal
  • 5.4 By Geography
    • 5.4.1 North America
      • 5.4.1.1 United States
      • 5.4.1.2 Canada
      • 5.4.1.3 Mexico
    • 5.4.2 South America
      • 5.4.2.1 Brazil
      • 5.4.2.2 Argentina
      • 5.4.2.3 Rest of South America
    • 5.4.3 Europe
      • 5.4.3.1 Germany
      • 5.4.3.2 United Kingdom
      • 5.4.3.3 France
      • 5.4.3.4 Italy
      • 5.4.3.5 Spain
      • 5.4.3.6 Rest of Europe
    • 5.4.4 Asia-Pacific
      • 5.4.4.1 China
      • 5.4.4.2 Japan
      • 5.4.4.3 India
      • 5.4.4.4 South Korea
      • 5.4.4.5 Singapore
      • 5.4.4.6 Australia
      • 5.4.4.7 Malaysia
      • 5.4.4.8 Rest of Asia-Pacific
    • 5.4.5 Middle East and Africa
      • 5.4.5.1 Middle East
        • 5.4.5.1.1 Saudi Arabia
        • 5.4.5.1.2 United Arab Emirates
        • 5.4.5.1.3 Rest of Middle East
      • 5.4.5.2 Africa
        • 5.4.5.2.1 South Africa
        • 5.4.5.2.2 Egypt
        • 5.4.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
    • 6.4.1 Rockwell Automation Inc.
    • 6.4.2 ABB Ltd.
    • 6.4.3 Autonomous Solutions Inc. (ASI Mining)
    • 6.4.4 Hexagon AB
    • 6.4.5 Trimble Inc.
    • 6.4.6 Hitachi Ltd.
    • 6.4.7 Caterpillar Inc.
    • 6.4.8 Komatsu Ltd.
    • 6.4.9 Atlas Copco Inc.
    • 6.4.10 AB Volvo Inc.
    • 6.4.11 Sandvik AB
    • 6.4.12 Epiroc AB
    • 6.4.13 Liebherr Group
    • 6.4.14 Wenco International Mining Systems
    • 6.4.15 MICROMINE Inc.
    • 6.4.16 RPMGlobal Inc.
    • 6.4.17 Flanders Electric Inc. (Flanders)
    • 6.4.18 BelAZ Inc.
    • 6.4.19 Hitachi Construction Machinery Digital Solutions
    • 6.4.20 Rio Tinto Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-Space and Unmet-Need Assessment