In addition, it offers varied benefits such as increased production efficiency, high protection of workers, increased productivity, and reduction of risks & production costs. Smart mining has witnessed unprecedented adoption in recent years, due to increase in concerns pertaining to rise in pollution and environment protection. In addition, there is an increase in the adoption of smart mining due to rise in awareness regarding health hazards, owing to air pollution and land pollution.
Increasing penetration of advanced technologies in mining automation such as internet of things (IoT), artificial intelligence, and machine learning, are anticipated to cut down substantial costs of the workforce, and thereby, result in significant cost optimization. IoT solutions offer opportunities in the complex mining industry to track visibility, safety, and efficiency. It connects the workforce, machines, and products in addition to services. Mining companies have deployed advanced digital technologies at mine sites to monitor safety controls; thereby, fostering the mining efficiencies. These factors drive the growth of the smart mining market significantly.
In addition, the safety & health concerns of miners and operators, due to harsh mining atmospheres drive the demand for autonomous equipment in the mining industry. The implementation of IoT and AI in the mining industry has resulted in a low fatality rate. Further, the adoption of digital technologies such as logistics software, remote-controlled equipment, and high-precision GPS drives productivity. Major companies such as Caterpillar, Cisco, and Siemens, have established software & solutions that meet safety standards of the National Mining Association and Mine Safety and Health Administration (MSHA). These factors drive the growth of the smart mining industry globally. However, the scarcity of skilled and qualified labor and mining graduates for operating the smart mining equipment and software restrains the market growth.
On the contrary, rise in application of environmental laws concerning the mining industry is anticipated to create opportunities for the implementation of smart mining technologies in the mining industry. The integration of smart mining technologies helps in maintaining the atmospheric conditions on mining site as well as improve the mineral extraction productivities; thereby, maintaining the environmental sustainability.
The global smart mining market is divided on the basis of type, category, and region. By type, the market is segmented into underground mining and surface or open pit mining. By category, the market is classified into automated equipment and components. The automated equipment includes excavators, load haul dump, drillers & breakers, robotic trucks, and other automated equipment. By component, the market is categorized into hardware, software & solution, and services. Hardware component encompasses sensors, RFID tags, intelligent systems, and others. By software & solution, it is segmented into logistics software, data & operation management software, safety & security systems, connectivity solutions, analytics solutions, remote management solutions, and asset management solutions. By services, it is divided into support & maintenance (engineering services), system integration (deployment services), and consulting services.
By region, the global smart mining market is analyzed across North America (the U.S., Canada, and Mexico), Europe (Russia, Germany, the UK, Sweden, and rest of Europe), Asia-Pacific (China, Australia, Japan, South Korea, and rest of Asia-Pacific), and LAMEA (Latin America, the Middle East, and Africa). Asia-Pacific is expected to hold the largest share of the market throughout the study period, and LAMEA is expected to grow at the fastest rate.
Competition analysis
The key smart mining market players profiled in the report include ABB Ltd., Caterpillar Inc., Cisco Systems, Inc., Hexagon AB, Hitachi Ltd., Komatsu Ltd., Robert Bosch GmbH, Rockwell Automation Inc., Sandvik AG, and Trimble Inc.
The players are adopting agreement strategy to offer better products and services in the smart mining industry. For instance, in May 2019, the company Caterpillar entered into an agreement with Rio Tinto, a mining company based in the UK. Under the agreement, both the companies collaboratively created an automated mine operation system using data analytics and integration to optimize production, enhance safety, increase mining machinery utilization, and reduce operational costs.
Key Benefits for Stakeholders
- The report provides an extensive analysis of the current and emerging global smart mining market trends and dynamics.
- In-depth analysis of the global market is conducted by constructing market estimations for the key market segments between 2019 and 2027.
- Global smart mining market analysis is conducted by following key product positioning and monitoring of the top competitors within the market framework.
- A comprehensive analysis of all the regions is provided to determine the prevailing opportunities.
- The global smart mining market forecast analysis from 2020 to 2027 is included in the report.
- The key market players within the market are profiled in this report and their strategies are analyzed thoroughly, which helps understand the competitive outlook of the industry.
GLOBAL SMART MINING MARKET SEGMENTS
By Type
- Underground Mining
- Surface Mining (Open Pit or Open Cast Mining)
By Category
- Automated Equipment
- Excavator
- Robotic Truck
- Driller & Breaker
- Load Haul Dump
- Other Automated Equipment
- Component
- Hardware
- Sensors
- RFID tags
- Intelligent systems
- Others
- Software
- Data & Operation Management Software
- Safety & Security Systems
- Connectivity Solutions
- Analytics Solutions
- Remote Management & Logistics Solutions
- Asset Management Solutions
- Services
- Support & Maintenance (Engineering Service)
- System Integration (Deployment Service)
- Consulting Services
By REGION
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- Sweden
- UK
- Russia
- Rest of Europe
- Asia-Pacific
- China
- Japan
- Australia
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
KEY PLAYERS
- ABB
- Caterpillar
- Cisco Systems, Inc.
- Hexagon
- Hitachi Ltd.
- Komatsu Ltd.
- Robert Bosch GmbH
- RockWell Automation
- Sandvik AG
- Trimble Navigation Limited
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Table of Contents
Executive Summary
According to this report titled, 'Smart Mining Market by Type and Category: Global Opportunity Analysis and Industry Forecast, 2020-2027,' the global smart mining market size is expected to reach $24,047.6million in 2027, from $9,256.7 million in 2019, growing at a CAGR of 13.0% from 2020 to 2027. In 2019, Asia-Pacific dominated the market, in terms of revenue, accounting for 37.0% of the global smart mining market share.Smart mining technologies include integration of hardware and software to improve the mining productivities and reduce the operational time and costs. Mining companies emphasize on enhancing productivity by providing state-of-the-art software & solutions. These software & solutions are integrated with the equipment, personnel, and operations to obtain enhanced safety and higher material extraction from the mining operations. These technologies find applications in both underground and surface (open pit & open cast) mining operations. The surface mining operations mainly benefit by utilizing the autonomous robotic fleet used for loading, hauling & dumping (LHD) operations. In addition, increased awareness regarding harsh influences of mining atmospheres caused by UV radiations, noise, dust, chemical hazards, poisonous gases, and others on the mine workers drives the dependency on robotic equipment. The robotic equipment allows remotely controlled operations, which eliminate the exposure of these polluted environment on workers. This acts as a major driving factor for the growth of the smart mining market.
Further, constant technological developments in software & solutions allow the mining companies to obtain proper risk management; thus, reducing the unplanned expenditure. For instance, by integration of data analytic solutions, the sustainability, safety, and profitability of the mining site can be ensured to a great extent. The involvement of analytics solutions by the U.S.-based software provider Cognizant increased the output of the mine by 8%. In addition, the equipment and mining parts on-time delivery was more than 95%, and the mean time to resolve (MTTR) breaches in services reduced by 5%. The recognition of these advantages can motivate the mining companies to introduce various smart technologies & services in the operations.
Asia-Pacific accounted for the highest revenue in 2019 compared to other regions due to increased adoption from mining sites located in Australia and China. In Europe, the necessity of raw materials and dependency on import of metals drive the mining industry. Thus, the growth in mining operations is expected to create lucrative opportunities for the smart mining market growth in this region during the forecast period.
According to Priyanka Kh andelwal, Senior Research Analyst, Construction and Manufacturing, “The players in the smart mining market are focusing on developing their mining automation technologies by investing in research & development. Machine learning, artificial intelligence, and internet of things (IoT) can revolutionize the current smart mining products, thereby, increasing the mining efficiencies.”
The global smart mining market is divided on the basis of type, category, and region. By type, the market is segmented into underground mining and surface or open pit mining. By category, the market is classified into automated equipment and component. The automated equipment includes excavators, load haul dump, drillers & breakers, robotic trucks, and other automated equipment. By component, the smart mining market is categorized into hardware, software & solution, and services. Hardware component encompasses sensors, RFID tags, intelligent systems, and others. By software & solution, it is segmented into logistics software, data & operation management software, safety & security systems, connectivity solutions, analytics solutions, remote management solutions, and asset management solutions. By services, it is divided into support & maintenance (engineering services), system integration (deployment services), and consulting services.
The global smart mining market is analyzed across four geographical regions that include North America (the U.S., Canada, and Mexico), Europe (Russia, Germany, the UK, Sweden, and rest of Europe), Asia-Pacific (China, Japan, Australia, South Korea, and rest of Asia-Pacific), and LAMEA (Latin America, the Middle East, and Africa).
KEY FINDINGS OF THE STUDY
- The report provides an extensive analysis of the current and emerging smart mining market trends and dynamics.
- By type, the surface mining segment dominated the global smart mining market in 2019, in terms of revenue.
- By component, the automated equipment segment is expected to generate high revenues in the smart mining industry globally.
- By region, Asia-Pacific is projected to be one of the most dominant regions and is expected to witness a high growth rate during the forecast period.
The major players operating in the smart mining industry include ABB Ltd., Caterpillar Inc., Cisco Systems, Inc., Hexagon AB, Hitachi Ltd., Komatsu Ltd., Robert Bosch GmbH, Rockwell Automation Inc., S andvik AG, and Trimble Inc.
Companies Mentioned
- ABB Ltd.
- Caterpillar Inc.
- Cisco Systems Inc.
- Hexagon AB
- Hitachi Ltd.
- Komatsu Ltd.
- Robert Bosch GmbH
- Rockwell Automation Inc.
- Sandvik AG
- Trimble Inc
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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