The global smart mining market is on track to generate USD 13,919.5 million in revenue by 2023, and it is projected to exceed USD 40,365.1 million by 2033. This significant growth is driven by the mining sector’s rapid expansion and the increasing use of automation in mining operations. Between 2023 and 2033, the demand for smart mining is expected to grow consistently at an impressive annual rate of 11.2%.
One of the main drivers propelling growth in global smart mining solutions is the industry’s rapid expansion and the growing usage of smart technologies and automation in mining processes.
The management of resources and the transportation and logistics of equipment like drills, conveyor belts, excavators, and trucks used for mining are just a few of the operations that go into mining. To ensure that everything runs smoothly and gets finished faster, these complex procedures require a system to automate and streamline them. This will increase the demand for intelligent mining technologies.
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The mining sector is in the early phases of a technology revolution that, as it has in other sectors like manufacturing, finance, and communications, will radically alter how mining is done. Three technical advancements that are fast advancing- automation, digitization, and electrification fundamentally changing how the mining industry operates.
Automation, the switch from diesel to electric power, real-time data-providing drones, safer subterranean equipment, deep-sea robotics, and water-neutral processes will all surely alter the mining value chain. All of these advancements will favourably impact the market for smart mining.
Key Takeaways from the Smart Mining Market Report:
Growing Demand for Predictive Maintenance and Intelligent Sensors in Smart Mining to Fostering Market Growth
Automated predictive maintenance is related to production robotization due to introducing new technologies in modern smart mines. Intelligent sensors enable the collection of an ever-growing volume of data, which must be efficiently and effectively analyzed to assist the management and decision-making of ever-more complex systems.
Predictive maintenance improves mine productivity, safety, and profitability significantly. It is unnecessary to start maintenance work until a critical piece of equipment fails when using predictive maintenance.
IoT-connected sensors integrated into machinery continuously track the health of the equipment and relay this information to central hubs where AI and human operators may spot issues before they arise and assign repair personnel.
Combining data analytics and predictive maintenance can save money while increasing productivity by 10-20%. Thus, the smart mining concept is gaining traction in the mining industry and has significant implications for the sector’s future, with several companies already digitizing and automating their operations.
Leading Key Players:
Smart Mining Market Segmentation:
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