Enjoy complimentary customisation on priority with our Enterprise License!
The mining automation market size is forecast to increase by USD 1.87 billion at a CAGR of 7.92% between 2023 and 2028.
The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD billion" for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
The equipment segment is estimated to witness significant growth during the forecast period. The market encompasses the use of advanced technologies, including artificial intelligence (AI), robotization, wireless sensors, RFID, data communication, and visualization tools, to automate mining operations. This market caters to various mining activities, such as base metals exploration and extraction, drilling in oil sands and underground mines, and waste management. Automated solutions employ autonomous technology to operate equipment, including trucks, drillers, and loaders, in real-time, enhancing production efficiency and safety. Safety integrity level is a crucial aspect, ensuring the safety of workers in hazardous conditions. Hardware automation technology, such as wireless networks and asset management strategies, streamlines operations and minimizes human error.
Mining automation technologies also facilitate predictive maintenance and resource extraction through the integration of IoT and data analytics. Key mining sectors include coal, metals, and mineral processing, with applications in drilling, material handling, and materials processing. Safety standards are paramount, addressing equipment failures and hazardous working conditions.
Get a glance at the market report of various segments Request Free Sample
APAC is estimated to contribute 42% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. The market In the Asia Pacific (APAC) region experienced steady growth in 2023, driven by the presence of abundant natural resources such as coal, copper, gold, iron ore, and other base metals. Countries like China, India, Australia, and Indonesia have a significant mining industry contribution to their GDPs. APAC's mining sector benefits from the region's high mineral potential and cost-effective labor.
For more insights on the market size of various regions, Request Free Sample
Government regulations also support automation adoption. Consequently, APAC held the largest share of the market in 2022 and is expected to continue growing steadily during the forecast period. Automation solutions' demand in APAC's mining industry will grow due to increasing safety hazards, production efficiency needs, and technological advancements. Safety Integrity Level (SIL) compliance, cloud for robotization, RFID, data communication, high-precision wireless sensors, and autonomous technology are integral to automated mining solutions. Real-time data visualization tools, materials handling, cameras, and hardware automation technology are essential for efficient material processing and asset management.
Wireless networks, robotization operations, autonomous trucks, and autonomous haulage systems are integral to the driverless truck program and AI-driven mining operations. Predictive maintenance, sensors, and mineral processing technologies, including drones, are crucial for accuracy and cost savings. The mining industry's focus on safety standards, profit margins, and waste management necessitates the adoption of automation technologies to mitigate human error, improve commodity price resilience, and enhance operational efficiency.
Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
The market forecasting report includes the adoption lifecycle of the market, market growth and forecasting, covering from the innovator's stage to the laggard's stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the market report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.
Customer Landscape
Companies are implementing various strategies, such as strategic alliances, market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry. The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
The mining industry is experiencing a significant shift towards automation and robotization, driven by the need for increased production efficiency, safety, and cost savings. This trend is particularly prevalent in base metals mining, where safety integrity level (SIL) requirements are high due to hazardous working conditions and potential equipment failures. One of the key technologies driving this automation is the implementation of cloud-based solutions. Cloud technology enables real-time data communication and visualization tools, allowing mining companies to monitor and manage their operations more effectively. This is especially important in large-scale mining operations, where wireless sensors and RFID technology are used to track materials and assets in real-time. Safety hazards are a major concern In the mining industry, and autonomous technology is being increasingly adopted to mitigate these risks. Autonomous trucks and haulage systems, for example, are being used to reduce the need for human operators in dangerous environments. Similarly, drones are being used for mineral exploration activities to minimize the need for personnel in hazardous areas. Automation technologies are also being used to improve accuracy in mining operations. For instance, cameras and AI algorithms are being used to analyze drilling data and identify potential equipment failures before they occur. Predictive maintenance strategies are then employed to prevent downtime and maintain optimal production levels.
Hardware automation technology is also playing a crucial role in mining automation. Wireless networks and communication systems are being used to connect various components of mining equipment, enabling remote-controlled machinery and teleoperation systems. This not only improves safety but also increases efficiency by reducing the need for on-site personnel. Mining companies are also adopting asset management strategies to optimize their use of resources. Data analytics is being used to gain insights into production patterns, equipment performance, and commodity prices. This information is then used to make informed decisions about resource allocation and operational planning. The technological advancement in automation is transforming the mining industry, with significant implications for profit margins and operational efficiency. However, the implementation of these technologies also presents challenges, particularly in terms of integrating disparate systems and ensuring data security. Hence, the mining industry is undergoing a significant transformation, driven by the adoption of automation and robotization technologies. This trend is being driven by the need for increased safety, production efficiency, and cost savings. The implementation of cloud-based solutions, autonomous technology, and data analytics is key drivers of this transformation, with significant implications for the future of resource extraction.
Market Scope |
|
Report Coverage |
Details |
Page number |
171 |
Base year |
2023 |
Historic period |
2018-2022 |
Forecast period |
2024-2028 |
Growth momentum & CAGR |
Decelerate at a CAGR of 7.92% |
Market growth 2024-2028 |
USD 1.87 billion |
Market structure |
Fragmented |
YoY growth 2023-2024(%) |
7.45 |
Key countries |
US, China, Australia, Japan, and Germany |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
We can help! Our analysts can customize this mining automation market research report to meet your requirements.
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Component
7 Market Segmentation by Type
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Opportunity/Restraints
11 Competitive Landscape
12 Competitive Analysis
13 Appendix
Research Framework
Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.
INFORMATION SOURCES
Primary sources
Secondary sources
DATA ANALYSIS
Data Synthesis
Data Validation
REPORT WRITING
Qualitative
Quantitative
Get the report (PDF) sent to your email within minutes.
Complimentary full Excel data with your report purchase.
Get lifetime access to our
Technavio Insights
Quick Report Overview:
Quick Report Overview:
Cookie Policy
The Site uses cookies to record users' preferences in relation to the functionality of accessibility. We, our Affiliates, and our Vendors may store and access cookies on a device, and process personal data including unique identifiers sent by a device, to personalise content, tailor, and report on advertising and to analyse our traffic. By clicking “I’m fine with this”, you are allowing the use of these cookies. Please refer to the help guide of your browser for further information on cookies, including how to disable them. Review our Privacy & Cookie Notice.