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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

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: Stratistics Market Research Consulting | ÆäÀÌÁö Á¤º¸: ¿µ¹® 200+ Pages | ¹è¼Û¾È³» : 2-3ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    
    



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CAGRÀÌ °¡Àå ³ôÀº Áö¿ª :

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  • 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
  • Nokia Corporation
LSH 24.12.13

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(R) MineStar(TM) 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
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • 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
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • 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
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