市場調查報告書
商品編碼
1603844
採礦自動化市場至2030年的預測:按解決方案類型、技術、工作流程、應用和區域的全球分析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 |
根據 Stratistics MRC 的資料,2024年全球採礦自動化市場規模將達到 36億美元,預計到2030年將達到 61億美元,預測期內年複合成長率為 9.2%。
採礦自動化是指使用先進的技術和系統來提高採礦作業的效率、安全性和生產力。這包括使用機器人、資料分析和駕駛人車輛來加快運輸、鑽井和採礦作業。實現即時監控和資料驅動決策的技術突破、對營運效率和降低成本的需求不斷增加以及對更安全工作條件的渴望是採礦自動化背後的一些關鍵促進因素,並將最終改變傳統採礦方法。和永續的營運。
根據美國地質調查局編制的資料,全球超過22%的活躍礦產探勘地點僅位於加拿大。
提高工作效率
提高工作效率是推動採礦自動化市場的關鍵因素之一,因為自動化解決方案促進了鑽孔、開採和運輸等流程。自動化可以縮短週期時間,透過減少體力勞動來提高產量,並且可以更有效地利用資源。資料分析和無人駕駛汽車等創新技術可實現即時營運監控和最佳化,加快決策速度。這些效率提升將提高產量並顯著降低營運成本,使礦業公司在充滿挑戰的市場環境中更具競爭力。
初始投資高
實施自動化系統需要在基礎設施、軟體和硬體方面進行大量資本投資。對於礦業公司,尤其是財力有限的中小企業來說,這可能是一個主要障礙。此外,採礦過程的複雜性和對專業知識的需求使得實施自動化既昂貴又耗時。採礦自動化市場的整體成長可能會受到一些採礦業者的阻礙,他們由於領先成本高而不願意實施自動化技術。
機器人和人工智慧的技術進步
機器人鑽井和鑽孔機、基於人工智慧的預測性維護和駕駛人汽車等技術創新使採礦作業變得更安全、更有效率。人工智慧演算法支援即時決策,機器人可以自動執行危險任務,減少危險區域中人工干預的需要。此外,透過加強資源開採、簡化工作程序和支援預測性維護,這些技術可以降低成本,同時提高採礦生產力和永續性。
變革阻力與採用障礙
採礦自動化領域的採用障礙和變革阻力可能會對長期競爭力和業務效率產生嚴重的負面影響。由於不願採用限制生產力和增加成本的新技術,礦業相關企業可能會繼續使用過時且低效的系統。此外,緩慢採用自動化的公司可能會落後於更具創新性的競爭對手,減少市場佔有率,可能更難吸引快速變化的行業的投資。最終,阻力可能會阻礙技術進步和整個產業的擴張。
COVID-19 的影響
COVID-19 大流行進一步加速了採礦自動化的採用。礦業公司優先考慮遠端控制和自主系統,以降低病毒傳播和員工短缺的風險。因此,額外的資金被投入數位礦場管理系統、遠端控制鑽機和駕駛人運輸卡車等技術上。雖然疫情最初減緩了採礦作業並擾亂了供應鏈,但它最終引發了產業的數位轉型,並增加了對採礦自動化技術的需求。
設備自動化領域預計將在預測期內成為最大的領域
由於需要降低營運成本、提高生產力和提高安全性,設備自動化產業預計是最大的。透過實現鑽孔、爆破、運輸和裝載等關鍵採礦作業的自動化,採礦公司可以大幅降低事故和工人傷亡的可能性。自動化技術還可以管理生產計劃、更有效地利用資源並提高礦場的整體績效。此外,擴大使用物聯網、機器學習和人工智慧等最尖端科技也推動了設備自動化解決方案的使用。
預計採礦業在預測期內年複合成長率最高
由於各行業對銅、鋅、鉛和鎳等金屬的需求不斷增加,預計礦產開採業在預測期內的年複合成長率最高。採礦作業的偏遠和危險性質以及提高生產力和效率的需求也推動了自動化技術的採用。採礦作業可以透過爆破、運輸和鑽孔等關鍵流程的自動化來提高產量、節省成本並提高安全性。
由於人事費用上升、工業化快速發展以及對環境和安全標準的重視,亞太地區預計將在預測期內佔據最大的市場佔有率。領先的公司包括中國、印度和澳洲,這些國家擴大將自動化視為提高生產力和降低成本的一種手段。其他重要動機包括需要解決勞動力短缺問題和提高資源豐富國家的生產力。此外,該地區還受益於機器人、人工智慧和物聯網的發展,並提高了自動化能力。此外,政府計劃和對環保採礦技術的資助刺激產業擴張。
由於北美致力於提高永續性、安全性和業務效率,預計在預測期內年複合成長率最高。降低營運成本和提高生產率的願望推動對自動化技術的需求不斷成長,例如基於無人機的測量、人工智慧主導的預測性維護和自動運輸卡車。此外,嚴格的安全標準和環境法規迫使採礦業者採用自動化解決方案以遵守法規並減少人類暴露在危險情況下。
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.