Mining Automation Market
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
Years Covered |
2021-2030 |
Estimated Year Value (2024) |
US $3.60 BN |
Projected Year Value (2030) |
US $6.10 BN |
CAGR (2024- 2030) |
9.2% |
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
Largest Market |
Asia Pacific |
Highest Growing Market |
North America |
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.
Market Dynamics:
Driver:
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.
Restraint:
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.
Opportunity:
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.
Threat:
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.
Region with largest share:
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.
Region with highest CAGR:
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.
Key Developments:
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® MineStar™ 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.
Solution Types Covered:
• Equipment Automation
• Software
• Communication Systems
• Services
• Other Solution Types
Techniques Covered:
• Underground Mining Automation
• Surface Mining Automation
Workflows Covered:
• Mine Development
• Mining Process
• Mine Maintenance
• Logistics & Transportation
Applications Covered:
• Metal Mining
• Mineral Mining
• Coal Mining
• Other Applications
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 Emerging Markets
3.8 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Mining Automation Market, By Solution Type
5.1 Introduction
5.2 Equipment Automation
5.2.1 Autonomous Hauling/Mining Trucks
5.2.2 Autonomous Drilling Rigs
5.2.3 Underground LHD Loaders
5.2.4 Tunneling Equipment
5.2.5 Smart Ventilation Systems
5.2.6 Pumping Stations
5.3 Software
5.3.1 Workforce Management Systems
5.3.2 Proximity Detection and Collision Avoidance Systems
5.3.3 Air Quality and Temperature Monitoring Systems
5.3.4 Fleet Management Systems
5.3.5 Remote Operating and Monitoring Systems
5.3.6 Data Management Solutions
5.4 Communication Systems
5.4.1 Wireless Mesh Networks
5.4.2 Navigation Systems
5.4.3 Radio-frequency Identification (RFID) Tags
5.5 Services
5.6 Other Solution Types
6 Global Mining Automation Market, By Technique
6.1 Introduction
6.2 Underground Mining Automation
6.3 Surface Mining Automation
7 Global Mining Automation Market, By Workflow
7.1 Introduction
7.2 Mine Development
7.3 Mining Process
7.4 Mine Maintenance
7.5 Logistics & Transportation
8 Global Mining Automation Market, By Application
8.1 Introduction
8.2 Metal Mining
8.3 Mineral Mining
8.4 Coal Mining
8.5 Other Applications
9 Global Mining Automation Market, By Geography
9.1 Introduction
9.2 North America
9.2.1 US
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 Germany
9.3.2 UK
9.3.3 Italy
9.3.4 France
9.3.5 Spain
9.3.6 Rest of Europe
9.4 Asia Pacific
9.4.1 Japan
9.4.2 China
9.4.3 India
9.4.4 Australia
9.4.5 New Zealand
9.4.6 South Korea
9.4.7 Rest of Asia Pacific
9.5 South America
9.5.1 Argentina
9.5.2 Brazil
9.5.3 Chile
9.5.4 Rest of South America
9.6 Middle East & Africa
9.6.1 Saudi Arabia
9.6.2 UAE
9.6.3 Qatar
9.6.4 South Africa
9.6.5 Rest of Middle East & Africa
10 Key Developments
10.1 Agreements, Partnerships, Collaborations and Joint Ventures
10.2 Acquisitions & Mergers
10.3 New Product Launch
10.4 Expansions
10.5 Other Key Strategies
11 Company Profiling
11.1 Caterpillar Inc.
11.2 Komatsu Ltd.
11.3 Sandvik AB
11.4 Hitachi Construction Machinery Co., Ltd.
11.5 Atlas Copco AB
11.6 Hexagon AB
11.7 Siemens AG
11.8 ABB Ltd.
11.9 Rockwell Automation, Inc.
11.10 Trimble Inc.
11.11 Epiroc AB
11.12 RPMGlobal Holdings Limited
11.13 Mine Site Technologies
11.14 Autonomous Solutions Inc
11.15 Robert Bosch GmbH
11.16 Schneider Electric SE
11.17 Yokogawa Electric Corporation
11.18 FLIR Systems, Inc.
11.19 MST Global
11.20 Nokia Corporation
List of Tables
1 Global Mining Automation Market Outlook, By Region (2022-2030) ($MN)
2 Global Mining Automation Market Outlook, By Solution Type (2022-2030) ($MN)
3 Global Mining Automation Market Outlook, By Equipment Automation (2022-2030) ($MN)
4 Global Mining Automation Market Outlook, By Autonomous Hauling/Mining Trucks (2022-2030) ($MN)
5 Global Mining Automation Market Outlook, By Autonomous Drilling Rigs (2022-2030) ($MN)
6 Global Mining Automation Market Outlook, By Underground LHD Loaders (2022-2030) ($MN)
7 Global Mining Automation Market Outlook, By Tunneling Equipment (2022-2030) ($MN)
8 Global Mining Automation Market Outlook, By Smart Ventilation Systems (2022-2030) ($MN)
9 Global Mining Automation Market Outlook, By Pumping Stations (2022-2030) ($MN)
10 Global Mining Automation Market Outlook, By Software (2022-2030) ($MN)
11 Global Mining Automation Market Outlook, By Workforce Management Systems (2022-2030) ($MN)
12 Global Mining Automation Market Outlook, By Proximity Detection and Collision Avoidance Systems (2022-2030) ($MN)
13 Global Mining Automation Market Outlook, By Air Quality and Temperature Monitoring Systems (2022-2030) ($MN)
14 Global Mining Automation Market Outlook, By Fleet Management Systems (2022-2030) ($MN)
15 Global Mining Automation Market Outlook, By Remote Operating and Monitoring Systems (2022-2030) ($MN)
16 Global Mining Automation Market Outlook, By Data Management Solutions (2022-2030) ($MN)
17 Global Mining Automation Market Outlook, By Communication Systems (2022-2030) ($MN)
18 Global Mining Automation Market Outlook, By Wireless Mesh Networks (2022-2030) ($MN)
19 Global Mining Automation Market Outlook, By Navigation Systems (2022-2030) ($MN)
20 Global Mining Automation Market Outlook, By Radio-frequency Identification (RFID) Tags (2022-2030) ($MN)
21 Global Mining Automation Market Outlook, By Services (2022-2030) ($MN)
22 Global Mining Automation Market Outlook, By Other Solution Types (2022-2030) ($MN)
23 Global Mining Automation Market Outlook, By Technique (2022-2030) ($MN)
24 Global Mining Automation Market Outlook, By Underground Mining Automation (2022-2030) ($MN)
25 Global Mining Automation Market Outlook, By Surface Mining Automation (2022-2030) ($MN)
26 Global Mining Automation Market Outlook, By Workflow (2022-2030) ($MN)
27 Global Mining Automation Market Outlook, By Mine Development (2022-2030) ($MN)
28 Global Mining Automation Market Outlook, By Mining Process (2022-2030) ($MN)
29 Global Mining Automation Market Outlook, By Mine Maintenance (2022-2030) ($MN)
30 Global Mining Automation Market Outlook, By Logistics & Transportation (2022-2030) ($MN)
31 Global Mining Automation Market Outlook, By Application (2022-2030) ($MN)
32 Global Mining Automation Market Outlook, By Metal Mining (2022-2030) ($MN)
33 Global Mining Automation Market Outlook, By Mineral Mining (2022-2030) ($MN)
34 Global Mining Automation Market Outlook, By Coal Mining (2022-2030) ($MN)
35 Global Mining Automation Market Outlook, By Other Applications (2022-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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