市场调查报告书
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2030 年采矿自动化市场预测:按解决方案类型、技术、工作流程、应用和区域进行的全球分析Mining Automation Market Forecasts to 2030 - Global Analysis By Solution Type (Equipment Automation, Software, Communication Systems, Services, and Other Solution Types), Technique, Workflow, Application and By Geography |
根据 Stratistics MRC 的数据,2024 年全球采矿自动化市场规模将达到 36 亿美元,预计到 2030 年将达到 61 亿美元,预测期内复合年增长率为 9.2%。
采矿自动化是指使用先进的技术和系统来提高采矿作业的效率、安全性和生产力。这包括使用机器人、资料分析和驾驶人车辆来加快运输、钻井和采矿作业。实现即时监控和资料驱动决策的技术突破、对营运效率和降低成本的需求不断增加以及对更安全工作条件的渴望是采矿自动化背后的一些关键驱动因素,并将最终改变传统采矿方法。和永续的营运。
根据美国地质调查局编制的资料,全球超过22%的活跃矿产探勘地点仅位于加拿大。
提高工作效率
提高工作效率是推动采矿自动化市场的关键因素之一,因为自动化解决方案促进了钻孔、开采和运输等流程。自动化可以缩短週期时间,透过减少体力劳动来提高产量,并且可以更有效地利用资源。资料分析和无人驾驶汽车等创新技术可实现即时营运监控和最佳化,从而加快决策速度。这些效率提升将提高产量并显着降低营运成本,使矿业公司在充满挑战的市场环境中更具竞争力。
初始投资高
实施自动化系统需要在基础设施、软体和硬体方面进行大量资本投资。对于矿业公司,尤其是财力有限的中小企业来说,这可能是一个主要障碍。此外,采矿过程的复杂性和对专业知识的需求使得实施自动化既昂贵又耗时。采矿自动化市场的整体成长可能会受到一些采矿业者的阻碍,他们由于领先成本高而不愿意实施自动化技术。
机器人和人工智慧的技术进步
机器人钻井和钻孔机、基于人工智慧的预测性维护和驾驶人汽车等技术创新正在使采矿作业变得更安全、更有效率。人工智慧演算法支援即时决策,机器人可以自动执行危险任务,减少危险区域中人工干预的需要。此外,透过加强资源开采、简化工作程序和支援预测性维护,这些技术可以降低成本,同时提高采矿生产力和永续性。
变革阻力与采用障碍
采矿自动化领域的采用障碍和变革阻力可能会对长期竞争力和业务效率产生严重的负面影响。由于不愿采用限制生产力和增加成本的新技术,矿业相关企业可能会继续使用过时且低效的系统。此外,缓慢采用自动化的公司可能会落后于更具创新性的竞争对手,从而减少市场占有率,并使其更难吸引快速变化的行业的投资,我不知道。最终,阻力可能会阻碍技术进步和整个产业的扩张。
COVID-19 的影响
COVID-19 大流行进一步加速了采矿自动化的采用。矿业公司优先考虑远端控制和自主系统,以降低病毒传播和员工短缺的风险。因此,额外的资金被投入数位矿场管理系统、远端控制钻机和驾驶人运输卡车等技术上。虽然疫情最初减缓了采矿作业并扰乱了供应链,但它最终引发了产业的数位转型,并增加了对采矿自动化技术的需求。
设备自动化领域预计将在预测期内成为最大的领域
由于需要降低营运成本、提高生产力和提高安全性,设备自动化产业预计是最大的。透过实现钻孔、爆破、运输和装载等关键采矿作业的自动化,采矿公司可以大幅降低事故和工人伤亡的可能性。自动化技术还可以让您管理生产计划、更有效地利用资源并提高矿场的整体绩效。此外,越来越多地使用物联网、机器学习和人工智慧等最尖端科技也推动了设备自动化解决方案的使用。
预计采矿业在预测期内复合年增长率最高
由于各行业对铜、锌、铅和镍等金属的需求不断增加,预计矿产开采业在预测期内的复合年增长率最高。采矿作业的偏远和危险性质以及提高生产力和效率的需求也推动了自动化技术的采用。采矿作业可以透过爆破、运输和钻孔等关键流程的自动化来提高产量、节省成本并提高安全性。
由于人事费用上升、工业化快速发展以及对环境和安全标准的重视,亚太地区预计将在预测期内占据最大的市场占有率。领先的公司包括中国、印度和澳大利亚,这些国家越来越多地将自动化视为提高生产力和降低成本的一种手段。其他重要动机包括需要解决劳动力短缺问题和提高资源丰富国家的生产力。此外,该地区还受益于机器人、人工智慧和物联网的发展,并提高了自动化能力。此外,政府计划和对环保采矿技术的资助正在刺激产业扩张。
由于北美专注于提高永续性、安全性和业务效率,预计在预测期内复合年增长率最高。降低营运成本和提高生产率的愿望正在推动对自动化技术的需求不断增长,例如基于无人机的测量、人工智慧主导的预测性维护和自动运输卡车。此外,严格的安全标准和环境法规迫使采矿业者采用自动化解决方案以遵守法规并减少人类暴露在危险情况下。
According to Stratistics MRC, the Global Mining Automation Market is accounted for $3.60 billion in 2024 and is expected to reach $6.10 billion by 2030 growing at a CAGR of 9.2% during the forecast period. Mining automation refers to the use of advanced technologies and systems to enhance the efficiency, safety, and productivity of mining operations. This involves the use of robotics, data analytics, and driverless cars to expedite transportation, drilling, and extraction operations. Technology breakthroughs that allow for real-time monitoring and data-driven decision-making, the growing need for operational efficiency and cost reduction, and the desire for safer working conditions are some of the main forces behind mining automation, which eventually turns conventional mining methods into more effective and sustainable operations.
According to the data produced by the US Geological Survey, more than 22% of the global active mineral exploration sites are located solely in Canada.
Increased operational efficiency
As automated solutions ease procedures like drilling, extraction, and transportation, increased operational efficiency is one of the main factors propelling the mining automation market. Automation shortens cycle durations and boosts production by reducing manual involvement, which makes it possible to use resources more efficiently. Innovative technologies, such as data analytics and driverless cars, allow for real-time operations monitoring and optimization, which speeds up decision-making. This increased efficiency makes mining companies more competitive in a difficult market environment by increasing output and drastically reducing operating expenses.
High initial investment
Significant capital expenditures for infrastructure, software, and hardware are necessary for the deployment of automation systems. For mining firms, particularly smaller ones with fewer financial resources, this can be a significant obstacle. The complexity of mining processes and the requirement for specialized knowledge can also make automation installation more expensive and time-consuming. The overall growth of the mining automation market may be hampered by some mining businesses' reluctance to implement automation technology due to these large upfront expenses.
Technological advancements in robotics and AI
Mining operations are becoming safer and more efficient thanks to innovations like robotic drilling and excavation equipment, AI-powered predictive maintenance, and driverless cars. Real-time decision-making is made possible by AI algorithms, and robotics reduces the need for human intervention in hazardous areas by automating risky operations. Additionally, by enhancing resource extraction, streamlining operational procedures, and aiding in predictive maintenance, these technologies reduce expenses while raising mining productivity and sustainability.
Resistance to change and adoption barriers
Adoption hurdles and resistance to change in the mining automation sector can seriously harm long-term competitiveness and operational effectiveness. Mining-related companies may continue to use antiquated, ineffective systems as a result of reluctance to accept new technologies, which would limit productivity and raise expenses. Additionally, businesses that embrace automation slowly risk falling behind more innovative competitors, which might lower their market share and make it harder for them to draw in investment in a sector that is changing quickly. In the end, resistance might impede the advancement of technology and the expansion of the industry as an entire entity.
Covid-19 Impact
The adoption of mining automation was further hastened by the COVID-19 epidemic. Mining corporations gave remote operations and autonomous systems first priority in order to reduce the hazards of virus spread and personnel shortages. As a result, additional funding was spent on technology like digital mine management systems, remote-controlled drilling rigs, and driverless haulage trucks. The pandemic slowed down mining operations and upset supply networks at first, but in the end, it sparked the industry's digital transition and increased demand for mining automation technologies.
The equipment automation segment is expected to be the largest during the forecast period
The equipment automation segment is estimated to be the largest, due to the requirement to lower operating costs, increase productivity, and improve safety. Mining firms may drastically reduce the chance of mishaps and worker casualties by automating crucial mining operations including drilling, blasting, hauling, and loading. Automation technologies also make it possible to manage production schedules, use resources more effectively, and enhance mine performance in general. Furthermore, the growing accessibility of cutting-edge technologies like IoT, machine learning, and artificial intelligence encourages the use of equipment automation solutions.
The mineral mining segment is expected to have the highest CAGR during the forecast period
The mineral mining segment is anticipated to witness the highest CAGR during the forecast period, due to the increasing demand for metals like copper, zinc, lead, and nickel from various industries. The adoption of automation technology is also being fueled by the distant and dangerous nature of mining operations as well as the demand for increased productivity and efficiency. Mining businesses may enhance production output, save costs, and improve safety by automating crucial processes like blasting, transporting, and drilling.
Asia Pacific is expected to have the largest market share during the forecast period due to increasing labor costs, quick industrialization, and a focus on environmental and safety standards. Major players include China, India, and Australia, where automation is becoming more and more viewed as a means of raising productivity and cutting expenses. Other important motivators include the need to alleviate labor shortages and increase productivity in resource-rich nations. Additionally, the area gains from developments in robotics, AI, and IoT that improve automation capabilities. Additionally, government programs and financial expenditures in environmentally friendly mining techniques fuel industry expansion.
North America is projected to witness the highest CAGR over the forecast period, owing to the area's emphasis on enhancing sustainability, safety, and operational effectiveness. The desire to lower operating costs and boost productivity is driving the growing demand for automation technologies like drone-based surveying, AI-driven predictive maintenance, and autonomous haul trucks. Furthermore, in order to comply with regulations and reduce human exposure to hazardous situations, mining businesses are being forced to employ automated solutions due to strict safety standards and environmental regulations.
Key players in the market
Some of the key players profiled in the Mining Automation Market include Caterpillar Inc., Komatsu Ltd., Sandvik AB, Hitachi Construction Machinery Co., Ltd., Atlas Copco AB, Hexagon AB, Siemens AG, ABB Ltd., Rockwell Automation, Inc., Trimble Inc., Epiroc AB, RPMGlobal Holdings Limited, Mine Site Technologies, Autonomous Solutions Inc, Robert Bosch GmbH, Schneider Electric SE, Yokogawa Electric Corporation, FLIR Systems, Inc, MST Global, and Nokia Corporation.
In April 2021, Komatsu launched its Autonomous Haulage System (AHS) for mining trucks, enabling fully autonomous operation for large-scale mining operations. This system enhances productivity, reduces costs, and improves safety by automating hauling tasks in mines.
In March 2021, Caterpillar unveiled an upgraded version of its Cat(R) MineStar(TM) Command system, specifically designed for autonomous hauling. This system is aimed at improving safety, operational efficiency, and reducing labor costs in mining operations.
In October 2020, Sandvik introduced advanced automation and digitalization solutions for mining, including automated drilling systems and fleet management technologies. These innovations optimize mine operations, improve safety, and reduce operational costs.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.