首頁 > 市場調查報告書 > 能源/環境

採礦

市場調查報告書

商品編碼

1846006

全球智慧採礦解決方案市場規模（按解決方案類型、組件、應用、區域覆蓋範圍和預測）

Global Smart Mining Solution Market Size By Type of Solution, By Component, By Application, By Geographic Scope And Forecast

出版日期: 2025年09月23日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

智慧採礦解決方案市場規模及預測

預計智慧採礦解決方案市場規模在 2024 年將達到 208.8 億美元，到 2031 年將達到 647.4 億美元，2024 年至 2031 年的複合年成長率為 16.76%。

智慧採礦代表了採礦業的前沿，它整合了先進技術來徹底改變採礦作業、加強安全措施並顯著提高整體效率。

透過利用各種數位工具和系統，智慧採礦促進了數據的收集、分析和利用，從而實現了更明智、更有效的決策流程。

智慧採礦的核心是部署在整個採礦環境中的物聯網感測器，用於收集設備健康狀況、環境條件和材料移動等關鍵參數的即時數據。

這些感測器提供持續監控，立即檢測任何問題並採取主動行動以防止潛在的中斷。

自動化在智慧採礦中發揮著至關重要的作用，機器人系統和自動駕駛車輛將接管傳統上由人類執行的任務。這些自動化系統運作更精確、更有效率，減少了人為失誤的可能性，並提高了生產力。

人工智慧 (AI) 是智慧採礦的另一個關鍵要素。 AI 演算法可以分析設備性能，並透過預測潛在故障來實現預測性維護，從而減少停機時間和維護成本。

人工智慧還最佳化了資源分配，確保在正確的時間在正確的地點使用正確的資源，並自動化複雜的決策流程，實現更快、更具適應性的營運。

智慧採礦的一個關鍵創新是數位雙胞胎位數位雙胞胎的概念，它是整個採礦作業的虛擬複製品，它提供了一個模擬環境，可以在不干擾實際礦井的情況下測試新策略和營運變化。

智慧採礦解決方案的全球市場動態

影響全球智慧採礦解決方案市場的關鍵市場動態包括：

關鍵市場促進因素

營運效率需求日益成長：採礦業面臨日益成長的最佳化資源利用率、降低成本和精簡營運的壓力，這推動了對更高營運效率的需求。為了應對這項挑戰，礦業公司正在轉向智慧採礦解決方案，例如自動化、物聯網 (IoT) 感測器和即時監控系統。這些技術提供即時洞察和自動化流程，從而提高生產力、最大限度地減少停機時間並確保更順暢的營運。

日益嚴重的健康和安全問題：鑑於礦工每天面臨的許多風險和危害，健康和安全問題仍然是採礦業的首要問題。隨著產業持續將工人社會福利放在首位，智慧採礦解決方案在解決這些問題方面發揮關鍵作用。穿戴式裝置、預測分析和遠端監控等技術正在被採用，以加強安全通訊協定，減少潛在危害，並確保遵守嚴格的監管標準。

永續實踐需求日益成長：在環境法規、社區期望和企業責任舉措的推動下，永續性也正成為採礦業的焦點。礦業公司面臨越來越大的壓力，需要採取對環境和社會負責的實踐。智慧採礦技術透過實現能源最佳化、水資源管理、廢棄物減少和排放監測，促進了這一轉變。這些技術支援永續採礦實踐，幫助企業減少環境足跡，並滿足日益成長的綠色營運需求。

更重視數位轉型：在技術、數據分析和互聯互通的推動下，採礦業也正在經歷一場重大的數位轉型。智慧採礦系統提供即時可視性、數據主導的洞察和決策支援工具，推動著採礦作業的數位化。這些系統能夠提高生產力、管理資源並最佳化績效，使採礦公司能夠做出更明智的決策並提升整體營運效率。數位化工具和流程的整合正在徹底改變應對挑戰、管理資源和執行策略的方式，使採礦公司在快速發展的產業格局中立於不敗之地。

高等級礦產資源枯竭：隨著高等級礦產資源日益枯竭，礦體結構日益複雜，對更有效率、更永續採礦技術的需求日益成長。智慧採礦解決方案，提供自動化鑽井、自動駕駛車輛和增強型地質建模等先進功能，正處於這項努力的前沿。這些技術使礦業公司能夠從難以開採的地區開採資源，延長現有礦山的壽命，並在收益下降的情況下保持盈利。利用智慧採礦技術，採礦業可以繼續滿足全球礦產需求，同時克服資源稀缺帶來的挑戰。

人工智慧和機器學習技術發展：人工智慧 (AI)、機器學習和數據分析技術的進步正在推動智慧採礦解決方案的發展，這些解決方案包括自主運作、預測分析和預測性維護。這些最尖端科技使礦業公司能夠最大限度地提高設備性能、預測維護需求並最佳化生產流程。

偏遠且環境惡劣的採礦地點：在偏遠且環境惡劣的地區進行採礦作業會帶來獨特的營運風險和物流挑戰。智慧採礦解決方案對於礦業公司在這些充滿挑戰的環境中高效營運，同時確保人員和設備的安全至關重要。自動駕駛汽車、無人機巡檢以及遠端監控等技術正在廣泛應用，以克服偏遠地區採礦帶來的挑戰。這些解決方案使公司能夠保持持續營運，遠端監控礦場狀況，並對出現的任何問題做出快速反應。

主要挑戰

前期成本高昂：採用智慧採礦技術通常需要在培訓專案、設備升級和技術基礎設施方面投入大量的前期資金。這些高昂的前期成本構成了挑戰，尤其對於在資金籌措管道受限地區營運的中小企業 (SME) 和礦業公司而言。整合這些先進系統所需的巨額資金投入可能會成為採用的障礙，尤其是對於預算有限或不願在沒有保證回報的情況下進行大筆資本支出的公司而言。

技術複雜性：智慧採礦解決方案涉及將感測器、無人機和數據分析平台等多種技術整合到現有採礦流程中。這種整合在技術上可能具有挑戰性，尤其對於基礎設施陳舊或技術專長有限的公司而言。確保不同系統和技術之間的相容性可能非常複雜，從而導致營運中斷和成本增加。此外，部署和維護此類先進技術也需要較長的學習時間，這對公司來說也是一種挑戰。

資料安全與隱私問題：智慧採礦技術的部署將產生來自感測器、無人機和其他物聯網 (IoT) 設備的大量資料。大量資料的產生引發了嚴重的資料安全和隱私問題，因為採礦公司必須實施強力的網路安全措施，以保護敏感資訊免遭網路攻擊、未授權存取和資料外洩。此外，遵守歐洲《一般資料保護規則》(GDPR) 等資料隱私法規使資料管治和管理變得更加複雜，要求公司遵守嚴格的法律體制並確保其資料實踐符合監管標準。

法規遵循：採礦作業需要遵守與勞工實務、環境保護和安全相關的各種法規。在實施智慧採礦技術時，企業可能需要應對複雜的監管環境，並從政府部門獲得必要的授權。確保遵守這些法規可能會增加營運成本，並延遲智慧採礦技術的採用，因為企業必須使其創新實踐與現有的法律要求保持一致。

變革阻力：採用智慧採礦解決方案通常需要採礦組織內部的文化轉變，因為員工對新技術有抵觸情緒，或不願意接受改變。克服這種阻力對於成功實施至關重要。礦業公司需要投資培訓專案、變革管理舉措和相關人員參與活動，以培養創新和持續改進的文化。如果不解決這些人為因素，智慧採礦技術的採用可能會受到內部阻力的阻礙。

基礎設施限制：智慧採礦系統高度依賴強大的通訊網路和高速網際網路連接，以促進即時數據傳輸並實現遠端監控和管理營運。然而，基礎設施低度開發的偏遠和農村礦山可能無法獲得寬頻網路和通訊服務。這些基礎設施限制可能會阻礙智慧採礦技術的推廣，因為它們可能難以維持系統有效運作所需的連接。

環境和社會影響：雖然智慧採礦技術有可能減少環境影響並提高營運效率，但它們也可能對當地社區和生態系統產生意想不到的影響。礦業公司必須仔細考慮這些技術的社會和環境影響，並與相關人員合作，解決資源枯竭、土地使用和社區遷移等問題。在技術進步與負責任的管理之間取得平衡，對於確保在不損害環境或周邊社區的情況下實現智慧採礦的效益至關重要。

主要趨勢

即時監控：物聯網設備透過持續收集和傳輸採礦環境各個方面的數據，在現代採礦作業中發揮著至關重要的作用。這些設備可以監測設備的健康狀況，追蹤溫度和濕度等環境條件，並即時檢測危險情況，以確保工人的安全。持續的資料流可以立即回應潛在問題，最大限度地降低採礦環境中的風險，並提高整體安全性。這種即時監控透過提供精確的、每分鐘的資訊，提高了營運安全性並支援高效的決策。

預測性維護：透過分析從機械設備收集的感測器數據，預測性維護是智慧採礦的核心。識別資料中的模式和異常可以預測潛在的設備故障，從而實現預防性維護。這種方法可以將維修安排在非關鍵時段，從而防止可能導致營運中斷的意外故障，並顯著減少停機時間。預測性維護不僅可以延長設備的使用壽命，還可以透過避免昂貴的緊急維修和停產來節省成本並提高營運效率。

營運效率：將即時數據整合到採礦作業中，可以最佳化流程和資源配置。利用這些數據，礦業公司可以就資源管理、生產調度和物流做出明智的決策，從而實現更精簡的營運。根據當前情況即時調整營運的能力，可確保資源得到高效利用，消除浪費，並最大限度地提高生產力。這種數據主導的營運管理方法使礦業公司能夠快速回應不斷變化的情況，從而提高整體效率和盈利。

虛擬礦山複製品：數位雙胞胎（礦山的虛擬複製品）的概念徹底改變了礦業公司進行規劃和最佳化的方式。數位雙胞胎提供了一個類比環境，可以在不中斷實際營運的情況下測試新的流程、設備和策略。這種虛擬表示使礦業公司能夠在實際實施之前識別潛在問題並最佳化工作流程。利用數位雙胞胎，礦業公司可以嘗試不同的場景，改善營運策略，並降低實施新技術和新程序的風險。

工人安全：確保工人安全是採礦業的重中之重，智慧採礦解決方案正在這方面取得長足進展。即時監控系統持續評估工作環境的安全狀況，偵測潛在危險，並提醒工人和主管立即採取行動。自動化技術減少了危險作業中人為干預的需求，並最大限度地降低了事故風險，從而進一步提高了安全性。這些技術共同創造了更安全的工作環境，保護了礦工的健康，並確保了安全法規的合規性。

Growing Demand for Operational Efficiency: The mining sector is increasingly driven by the need to enhance operational efficiency, driven by the pressure to optimize resource utilization, reduce costs, and streamline operations. In response, mining companies are turning to smart mining solutions, including automation, Internet of Things (IoT) sensors, and real-time monitoring systems. These technologies empower businesses to boost productivity, minimize downtime, and achieve smoother operations by providing real-time insights and automated processes.

Growing Apprehensions About Health and Safety: Health and safety concerns remain paramount in the mining sector, given the numerous risks and hazards that miners face daily. The industry continues to prioritize the well-being of its workforce, and smart mining solutions play a critical role in addressing these concerns. Technologies such as wearables, predictive analytics, and remote monitoring are being employed to enhance safety protocols, reduce potential hazards, and ensure compliance with stringent regulatory standards.

Growing Need for Sustainable Practices: Sustainability is also becoming a central focus in the mining industry, driven by environmental regulations, community expectations, and corporate responsibility initiatives. Mining corporations are increasingly compelled to adopt environmentally and socially responsible practices. Smart mining technologies facilitate this shift by enabling energy optimization, water management, waste reduction, and emissions monitoring. These technologies support sustainable mining practices, helping companies reduce their environmental footprint and meet the growing demand for greener operations.

Increasing Attention to Digital Transformation: The mining sector is also experiencing a significant digital transformation, fueled by advancements in technology, data analytics, and connectivity. The digitization of mining operations is being accelerated by smart mining systems, which provide real-time visibility, data-driven insights, and decision support tools. These systems enable enhanced productivity, resource management, and performance optimization, allowing mining companies to make more informed decisions and improve overall operational efficiency. The integration of digital tools and processes is revolutionizing how mining companies approach challenges, manage resources, and execute strategies, positioning them to thrive in a rapidly evolving industry landscape.

Depletion of High-Grade Mineral Resources: As high-grade mineral resources become increasingly depleted and ore bodies grow more complex, there is a heightened need for more efficient and sustainable mining techniques. Smart mining solutions are at the forefront of this effort, offering advanced capabilities such as automated drilling, autonomous vehicles, and enhanced geological modeling. These technologies allow mining companies to extract resources from difficult-to-access areas, extend the lifespan of existing mines, and maintain profitability even in the face of diminishing returns. By leveraging smart mining technologies, the industry can continue to meet global demand for minerals while navigating the challenges posed by resource scarcity.

Technological Developments in AI and Machine Learning: Technological advancements in artificial intelligence (AI), machine learning, and data analytics are driving the development of intelligent mining solutions with autonomous operations, predictive analytics, and predictive maintenance. These cutting-edge technologies enable mining companies to maximize equipment performance, anticipate maintenance needs, and optimize production processes.

Remote and Tough Mining Areas: Mining operations in remote and harsh areas present unique operational risks and logistical challenges. Smart mining solutions are crucial in enabling mining companies to operate efficiently in these challenging environments while ensuring the safety of both personnel and equipment. Technologies such as autonomous vehicles, drone-based inspections, and remote monitoring and control capabilities are being deployed to overcome the difficulties associated with remote mining operations. These solutions allow companies to maintain continuous operations, monitor conditions from a distance, and quickly respond to any issues that arise, all while reducing the need for human intervention in potentially dangerous situations.

Key Challenges

High Upfront Costs: Implementing smart mining technologies often requires significant initial investments in training programs, equipment upgrades, and technological infrastructure. These high upfront costs can pose a challenge, particularly for small and medium-sized enterprises (SMEs) or mining companies operating in regions with limited access to financing. The substantial financial outlay needed to integrate these advanced systems can be a barrier to adoption, especially for companies with tight budgets or those hesitant to make large-scale capital expenditures without guaranteed returns.

Technological Complexity: Smart mining solutions involve the integration of a wide range of technologies, including sensors, drones, and data analytics platforms, into existing mining processes. This integration can be technically challenging, particularly for companies with outdated infrastructure or limited technical expertise. Ensuring compatibility across various systems and technologies can be complex, potentially leading to operational disruptions and increased costs. Companies may also struggle with the learning curve associated with adopting and maintaining these sophisticated technologies.

Data Security and Privacy Concerns: The deployment of smart mining technologies generates vast amounts of data from sensors, drones, and other Internet of Things (IoT) devices. This data abundance raises significant data security and privacy concerns, as mining companies must implement robust cybersecurity measures to protect sensitive information from cyberattacks, unauthorized access, and data breaches. Additionally, compliance with data privacy regulations, such as the General Data Protection Regulation (GDPR) in Europe, adds complexity to data governance and management, requiring companies to navigate strict legal frameworks and ensure that their data practices meet regulatory standards.

Regulatory Compliance: Mining operations are subject to a wide range of regulations related to labor practices, environmental protection, and safety. The implementation of smart mining technologies may require companies to navigate complex regulatory landscapes and obtain necessary permits or approvals from government authorities. Ensuring compliance with these regulations can lead to increased operational costs and potential delays in the adoption of smart mining technologies, as companies must align their innovative practices with existing legal requirements.

Resistance to Change: The adoption of smart mining solutions often requires a cultural shift within mining organizations, as employees may be resistant to new technologies or hesitant to embrace change. Overcoming this resistance is crucial for successful implementation. Mining companies must invest in training programs, change management initiatives, and stakeholder engagement activities to foster a culture of innovation and continuous improvement. Without addressing these human factors, the adoption of smart mining technologies may be hindered by internal opposition.

Infrastructure Limitations: Smart mining systems rely heavily on robust communication networks and high-speed internet connectivity to facilitate real-time data transmission and enable remote monitoring and management of operations. However, in remote or rural mining locations with underdeveloped infrastructure, access to broadband internet and telecommunications services may be limited. These infrastructure constraints can impede the adoption of smart mining technologies, as companies may struggle to maintain the necessary connectivity for effective system operation.

Environmental and Social Impacts: While smart mining technologies have the potential to reduce environmental impacts and improve operational efficiency, they may also have unforeseen effects on local communities and ecosystems. Mining companies must carefully consider the social and environmental implications of these technologies, engaging with stakeholders to address concerns related to resource depletion, land use, and community displacement. Balancing technological advancement with responsible stewardship is essential to ensure that the benefits of smart mining are realized without causing harm to the environment or surrounding communities.

Key Trends

Real-Time Monitoring: In modern mining operations, IoT devices play a critical role by continuously collecting and transmitting data on various aspects of the mining environment. These devices monitor equipment health, track environmental conditions such as temperature and humidity, and ensure worker safety by detecting hazardous situations in real time. The constant flow of data allows for immediate responses to potential issues, minimizing risks and enhancing overall safety in the mining environment. This real-time monitoring improves operational safety and supports efficient decision-making by providing accurate, up-to-the-minute information.

Predictive Maintenance: Through the analysis of sensor data gathered from machinery and equipment, predictive maintenance has become a cornerstone of smart mining. By identifying patterns and anomalies in the data, potential equipment failures can be forecasted before they occur, allowing for proactive maintenance. This approach significantly reduces downtime, as repairs can be scheduled during non-critical periods, preventing unexpected breakdowns that could halt operations. Predictive maintenance not only enhances equipment longevity but also contributes to cost savings and operational efficiency by avoiding costly emergency repairs and production stoppages.

Operational Efficiency: The integration of real-time data into mining operations enables the optimization of processes and resource allocation. By leveraging this data, mining companies can make informed decisions about resource management, production schedules, and logistics, leading to more streamlined operations. The ability to adjust operations in real-time based on current conditions ensures that resources are used efficiently, reducing waste and maximizing productivity. This data-driven approach to operational management allows mining companies to respond quickly to changing conditions, improving overall efficiency and profitability.

Virtual Mine Replica: The concept of a digital twin-a virtual replica of the mine-has revolutionized how mining companies approach planning and optimization. Digital twins provide a simulated environment where new processes, equipment, and strategies can be tested without disrupting actual operations. This virtual representation allows for the identification of potential issues and the optimization of workflows before they are implemented in the real world. By using digital twins, mining companies can experiment with different scenarios, improve their operational strategies, and reduce the risks associated with introducing new technologies or procedures.

Worker Safety: Ensuring the safety of workers is a top priority in the mining industry, and smart mining solutions have made significant strides in this area. Real-time monitoring systems continuously assess the safety conditions of the work environment, detecting potential hazards and alerting workers and supervisors to take immediate action. Automation further enhances safety by reducing the need for human intervention in dangerous tasks, minimizing the risk of accidents. These technologies work together to create a safer working environment, protecting the well-being of miners while also ensuring compliance with safety regulations.

Global Smart Mining Solution Market Regional Analysis

Here is a more detailed regional analysis of the global smart mining solution market:

Asia Pacific

The Asia-Pacific region is poised for significant expansion in the global smart mining solution market. Rapid industrialization and urbanization in developing economies such as China and India are major contributors, as these nations increasingly demand raw materials to fuel their growing industries and infrastructure projects.

Mining activities in countries like China, India, and Australia are particularly robust, with mining being one of the most critical industries in these regions.

Australia, China, and Indonesia, in particular, are endowed with vast reserves of essential minerals, making efficient and sustainable mining practices a priority to meet both domestic and international demand.

As these economies continue to grow, the need for advanced mining technologies has become more pressing, with smart mining solutions offering a pathway to enhanced productivity, cost reduction, and improved safety standards.

Governments across the region are also playing a crucial role in this expansion, actively promoting the adoption of smart mining technologies through various initiatives and policies.

These efforts are aimed at boosting economic growth and ensuring that mining practices are safer and more environmentally sustainable.

By encouraging the integration of advanced technologies into the mining sector, governments are helping to position the Asia-Pacific region as a leader in the global shift towards smarter, more efficient mining operations.

Europe

Europe is anticipated to witness the fastest growth in the global smart mining solution market during the forecast period.

The increasing stringency of environmental regulations on mining activities across the Asia-Pacific region is expected to significantly drive the demand for smart mining solutions.

As governments and regulatory bodies push for more sustainable practices, mining companies are compelled to optimize their operations to reduce greenhouse gas emissions and minimize their environmental impact.

This shift towards greener mining practices is further supported by the region's robust research and development ecosystem, which fuels continuous innovation in smart mining technologies.

The Asia-Pacific region is home to a mature and well-established mining industry, where many operations are now focusing on digital transformation to enhance productivity and streamline processes.

By adopting advanced digital solutions, these established mining enterprises can achieve greater operational efficiency and meet regulatory requirements more effectively.

Additionally, the strong safety culture prevalent in the region's mining sector has led to the widespread adoption of cutting-edge monitoring and automation systems, which are essential for protecting workers and ensuring compliance with safety standards.

This combination of technological advancements, regulatory pressures, and a commitment to safety is positioning the Asia-Pacific region as a leader in the global shift towards smarter, more sustainable mining operations.

Global Smart Mining Solution Market: Segmentation Analysis

The Global Smart Mining Solution Market is segmented based on the Type of Solution, Product Type, Application, And Geography.

Smart Mining Solution Market, By Type of Solution

Smart Control Systems

Smart Asset Management

Safety and Security Systems

Data Analytics and Visualization

Remote Operations Center

Based on the Type of Solution, the Global Smart Mining Solution Market is bifurcated into Smart Control Systems, Smart Asset Management, Safety and Security Systems, Data Analytics and Visualization, and Remote Operations Center. The smart control systems segment is emerging as a dominant segment in the global smart mining solution market, driven by the increasing complexity of mining operations and the growing demand for higher throughput and precision in equipment control. Automated control of mining equipment is becoming essential as it allows for the optimization of production processes, ensuring that operations run smoothly and efficiently. These smart control systems are also increasingly integrated with other technologies and systems, facilitating seamless operations across the entire mining workflow. As mining companies strive for greater efficiency and accuracy, the adoption of smart control systems continues to accelerate, solidifying this segment's leading position in the market.

Smart Mining Solution Market, By Product Type

Hardware

Software

Services

Based on Components, the Global Smart Mining Solution Market is bifurcated into Hardware Software, and Services. The software segment dominates the global smart mining solution market, serving as the brain behind modern mining operations. It plays a crucial role in transforming raw data into actionable insights, enabling the optimization of processes, predictive maintenance, and enhanced safety measures. As the mining industry increasingly relies on data-driven decision-making, the importance of advanced software solutions continues to grow, solidifying the segment's leading position in the market.

Smart Mining Solution Market, By Application

Mineral Extraction

Mineral Processing

Infrastructure and Logistics

Health and Safety

Environmental Management

Based on the Application, the Global Smart Mining Solution Market is bifurcated into Mineral Extraction, Mineral Processing, Infrastructure and Logistics, Health and Safety, and Environmental Management. The Mineral Extraction segment dominates the Global Smart Mining Solution Market driven by the direct influence of advanced technologies on productivity and cost reduction. However, the growing emphasis on sustainability, safety, and supply chain optimization is accelerating growth in other segments as well. To fully realize the benefits of smart mining solutions, adopting a holistic approach that addresses every aspect of the mining value chain is essential. This comprehensive strategy ensures that productivity gains are balanced with environmental and safety considerations, leading to more sustainable and efficient mining operations.

Smart Mining Solution Market, By Geography

North America

Europe

Asia Pacific

Rest of the world

Based on Geography, the Global Smart Mining Solution Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. The Asia-Pacific region is poised for significant expansion in the Global Smart Mining Solution Market. Rapid industrialization and urbanization in developing economies such as China and India are major contributors, as these nations increasingly demand raw materials to fuel their growing industries and infrastructure projects.

Key Players

The "Global Smart Mining Solution Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are ABB Ltd, Caterpillar, Inc., Atlas Copco, Cisco Systems, Inc., Hitachi Construction Machinery Co. Ltd, Komatsu Ltd, and Outotec Oyj. This section offers in-depth analysis through a company overview, position analysis, the regional and industrial footprint of the company, and the ACE matrix for insightful competitive analysis. The section also provides an exhaustive analysis of the financial performances of mentioned players in the given market.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Global Smart Mining Solution Market Key Developments

In May 2019, Sandvik AB provided AutoMine and OptiMine systems for Codelco's Chuquicamata mine, which is transitioning from open-pit to underground operations. El Teniente's fully automated mining solution will begin with the company's AutoMine fleet technology and OEM underground trucks. Codelco has already implemented the OptiMine suite of digital optimization solutions at the mine.
In May 2019, Hindustan Zinc announced a collaboration with Epiroc AB to digitize its Sindesar Khurd mine in Rajasthan, India, which produces zinc and lead. Mobilaris Mining Intelligence (MMI), the company's flagship product, is a "decision support system" and "Google for your mine" for asset tracking. The product integrates planning, production, and maintenance with sensor data in underground mines.