鉱業オートメーション市場：地域別、2024年～2031年

鉱業オートメーション市場の評価、2024年～2031年

鉱物や金属に対する需要の高まりが、鉱業オートメーションの採用を促進しています。自動化は、環境および安全規制の遵守を支援し、持続可能な採掘慣行を確保することで、市場規模は2024年に28億2,000万米ドルを突破し、2031年までに約49億7,000万米ドルの評価額に達します。

これに加えて、ロボット工学、AI、IoTにおける技術革新の高まりは、様々な採鉱アプリケーションのためのより洗練された自動化ソリューションを可能にし、鉱業オートメーションの採用に拍車をかけています。自動化されたシステムは、より正確な制御と採掘プロセスの最適化を可能にし、運用効率を向上させ、これは2024年から2031年まで8.10％のCAGRで市場が成長することを可能にしています。

鉱業オートメーション市場定義/概要

採鉱自動化とは、プロセス、機械、ワークフローの自動化を通じて採鉱作業を強化するための高度な技術とシステムの使用を指します。これには、効率性、安全性、生産性を最適化するためのロボット工学、人工知能（AI）、モノのインターネット（IoT）、データ分析の統合が含まれます。従来は人間のオペレーターが行っていた作業を自動化することで、鉱山会社は手作業に伴うリスクを最小限に抑えながら、操業パフォーマンスを向上させることができます。

マイニング・オートメーションのアプリケーションは多様で、インパクトが大きいです。自動掘削システム、自律走行式運搬トラック、ロボットによるプロセス自動化によって、探査から採掘、加工まで、採鉱ライフサイクルのさまざまな段階が合理化されます。遠隔監視・制御システムにより、オペレーターは遠くからでも機器を管理することができ、安全性を高め、ダウンタイムを減らすことができます。さらに、自動化されたデータ分析は予知保全に役立ち、機械の寿命を延ばし、効率的な資源配分を保証します。

作業効率と生産性の向上により、鉱業オートメーションの導入はどのように増加するか？

採掘作業における安全性向上の推進が、採掘自動化市場の重要な触媒となっています。自動化されたシステムは、危険な環境における人間の必要性を減らし、事故や死亡事故を最小限に抑えます。米国鉱山安全衛生局によると、鉱業死亡事故は2010年から2020年の間に37％減少したが、その一因は自動化の進展にあります。この動向は業界のリーダーたちの技術革新に拍車をかけ、キャタピラーは2024年2月、露天掘り採鉱作業の安全性と生産性を高めるために設計された、次世代自律運搬システムの発売を発表しました。

作業効率と生産性の向上も、採掘自動化市場の主要な促進要因のひとつです。自動化された設備は、ダウンタイムを最小限に抑えて継続的に稼動することができ、生産量の増加と操業コストの削減につながります。オーストラリア政府の産業・科学・エネルギー・資源省は、自動化された採鉱作業は2018年から2023年の間に生産性が20%向上すると報告しています。この動向に対応するため、コマツは2024年3月、AIを搭載した自律型掘削リグの新機種群を発表しました。このリグは24時間365日稼働可能で、リアルタイムの地質データに基づいて掘削パターンを最適化します。

採掘作業における環境の持続可能性への関心の高まりも、自動化技術の採用を後押ししています。自動化システムは、資源利用を最適化し、エネルギー消費を削減し、環境への影響を最小限に抑えることができます。国際エネルギー機関によると、自動化された採鉱作業は2019年から2023年の間にエネルギー消費を平均15%削減するといいます。ABBはこの動向を踏まえ、2024年1月に包括的な鉱山電化・自動化パッケージを発表し、鉱山会社が全体的な効率を向上させ、二酸化炭素排出量を削減しながら、より持続可能な操業に移行できるよう支援することを目的としています。

サイバーセキュリティに関する懸念の高まりは鉱業オートメーション市場の成長を妨げるか？

鉱業オートメーション市場は、その成長を妨げるいくつかの抑制要因に直面しています。重要な課題の1つは、自動化システムの導入に必要な初期投資の高さです。自律走行車や洗練されたソフトウェアなど、高度な技術を取得するためのコストは相当なものになる可能性があります。小規模な採掘会社は、十分な資金を割くのに苦労し、自動化を導入して市場競争力を維持する能力が制限される可能性があります。

もうひとつの制約は、自動化を既存のシステムやプロセスに統合することの複雑さです。多くの採掘事業は、レガシー機器やインフラストラクチャーに依存しており、最新の自動化テクノロジーと互換性がない場合があります。この統合の課題は、操業中断の増加につながる可能性があり、移行を管理するために熟練した人材を必要とするため、普及の障壁となっています。

サイバーセキュリティに関する懸念の高まりも、採掘自動化に重大なリスクをもたらしています。IoTやデジタル・プラットフォームを通じて業務がますます接続されるようになると、サイバー攻撃の可能性が高まる。鉱業会社は、機密データと操業の完全性を保護するために、堅牢なサイバーセキュリティ対策に投資しなければならず、自動化構想に新たなコストと複雑さを加えることになります。

目次

第1章 世界の鉱業オートメーション市場：イントロダクション

• 市場概要
• 調査範囲
• 前提条件

第2章 エグゼクティブサマリー

第3章 VERIFIED MARKET RESEARCHの調査手法

• データマイニング
• 検証
• プライマリーインタビュー
• データソース一覧

第4章 鉱業オートメーションの世界市場展望

• 概要
• 市場力学
  • 促進要因
  • 抑制要因
  • 機会
• ポーターのファイブフォースモデル
• バリューチェーン分析

第5章 鉱業オートメーションの世界市場：技術別

• 概要
• 地下採掘
• 地上採掘

第6章 鉱業オートメーションの世界市場：ワークフロー別

• 概要
• 採掘プロセス
• 鉱山開発
• 鉱山メンテナンス

第7章 鉱業オートメーションの世界市場：地域別

• 概要
• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • フランス
  • その他欧州
• アジア太平洋
  • 中国
  • 日本
  • インド
  • その他アジア太平洋地域
• 世界のその他の地域
  • ラテンアメリカ
  • 中東・アフリカ

第8章 世界の鉱業オートメーション市場：競合情勢

• 概要
• 各社の市場ランキング
• 主な発展戦略

第9章 企業プロファイル

• CATERPILLAR
• RPM GLOBAL
• KOMATSU
• SANDVIK
• ATLAS COPCO
• HEXAGON
• HITACHI
• TRIMBLE
• AUTONOMOUS SOLUTIONS INC.
• FLUIDMESH NETWORKS

第10章 主な発展

• 製品上市／開発
• 合併と買収
• 事業拡大
• パートナーシップと提携

第11章 付録

• 関連調査

Mining Automation Market Valuation - 2024-2031

The rising demand for minerals and metals is propelling the adoption of mining automation. Automation assists in adhering to environmental and safety regulations, ensuring sustainable mining practices is driving the market size surpass USD 2.82 Billion valued in 2024 to reach a valuation of aroundUSD 4.97 Billion by 2031.

In addition to this, rising innovations in robotics, AI, and IoT enable more sophisticated automation solutions for various mining applications is spurring up the adoption of mining automation. Automated systems improve operational efficiency, allowing for more precise control and optimization of mining processes, this is enabling the market to grow at aCAGR of 8.10% from 2024 to 2031.

Mining Automation Market: Definition/ Overview

Mining automation refers to the use of advanced technologies and systems to enhance mining operations through automation of processes, machinery, and workflows. This includes the integration of robotics, artificial intelligence (AI), the Internet of Things (IoT), and data analytics to optimize efficiency, safety, and productivity. By automating tasks traditionally performed by human operators, mining companies can improve operational performance while minimizing risks associated with manual labor.

Applications of mining automation are diverse and impactful. Automated drilling systems, autonomous haul trucks, and robotic process automation streamline various stages of the mining lifecycle, from exploration to extraction and processing. Remote monitoring and control systems allow operators to manage equipment from afar, enhancing safety and reducing downtime. Additionally, automated data analysis helps in predictive maintenance, improving the longevity of machinery and ensuring efficient resource allocation.

What's inside a VMR industry report?

Our reports include actionable data and forward-looking analysis that help you craft pitches, create business plans, build presentations and write proposals.

How will Rising Operational Efficiency and Productivity Increase Adoption of Mining Automation?

The drive for improved safety in mining operations has become a significant catalyst for the mining automation market. Automated systems reduce the need for human presence in hazardous environments, minimizing accidents and fatalities. According to the U.S. Mine Safety and Health Administration, mining fatalities decreased by 37% between 2010 and 2020, partly attributed to increased automation. This trend has spurred innovation among industry leaders, with Caterpillar announcing in February 2024 the launch of its next-generation autonomous haulage system, designed to enhance safety and productivity in open-pit mining operations.

Increasing operational efficiency and productivity is another key driver of the mining automation market. Automated equipment can operate continuously with minimal downtime, leading to higher output and reduced operational costs. The Australian Government's Department of Industry, Science, Energy and Resources reported that automated mining operations showed a 20% increase in productivity between 2018 and 2023. Responding to this trend, Komatsu unveiled in March 2024 a new fleet of AI-powered autonomous drilling rigs, capable of operating 24/7 and optimizing drilling patterns based on real-time geological data.

The growing focus on environmental sustainability in mining practices is also propelling the adoption of automation technologies. Automated systems can optimize resource utilization, reduce energy consumption, and minimize environmental impact. According to the International Energy Agency, automated mining operations reduced energy consumption by an average of 15% between 2019 and 2023. Capitalizing on this trend, ABB introduced in January 2024 a comprehensive mine electrification and automation package, designed to help mining companies transition to more sustainable operations while improving overall efficiency and reducing carbon emissions.

Will Rising Concerns Related To Cybersecurity Hampering Mining Automation Market Growth?

The mining automation market faces several restraints that can hinder its growth. One significant challenge is the high initial investment required for implementing automated systems. The cost of acquiring advanced technologies, such as autonomous vehicles and sophisticated software, can be substantial. Smaller mining companies may struggle to allocate sufficient funds, limiting their ability to adopt automation and stay competitive in the market.

Another restraint is the complexity of integrating automation with existing systems and processes. Many mining operations rely on legacy equipment and infrastructure, which may not be compatible with modern automated technologies. This integration challenge can lead to increased operational disruptions and requires skilled personnel to manage the transition, posing a barrier to widespread adoption.

Rising concerns related to cybersecurity also pose a significant risk to mining automation. As operations become increasingly connected through IoT and digital platforms, the potential for cyberattacks rises. Mining companies must invest in robust cybersecurity measures to protect sensitive data and operational integrity, adding another layer of cost and complexity to automation initiatives.

Category-Wise Acumens

Which Factors are Contributing Equipment Automation Segment Dominance in Mining Automation Market?

Equipment automation is emerging as the dominant force in the mining automation market, revolutionizing operations across the industry. Automated haul trucks, drills, loaders, and other heavy machinery are increasingly being deployed to enhance safety, efficiency, and productivity in mining operations. According to the U.S. Mine Safety and Health Administration, mines utilizing automated equipment reported a 35% reduction in accidents related to human error between 2020 and 2023. This trend has spurred innovation among key players, with Caterpillar announcing in February 2024 the launch of its next-generation autonomous haulage system, capable of operating in complex mine environments and integrating seamlessly with existing fleet management systems.

The adoption of automated equipment in underground mining has seen particularly rapid growth, as it addresses the unique challenges and hazards associated with these environments. Automated machinery can operate in areas that are unsafe or inaccessible to human workers, significantly improving both safety and productivity. Australia's Department of Industry, Science, Energy and Resources reported that underground mines using automated equipment saw a 28% increase in ore extraction rates from 2021 to 2023. Responding to this trend, Sandvik Mining and Rock Technology unveiled in March 2024 a new line of fully autonomous underground loaders, equipped with advanced obstacle detection and navigation systems for efficient operation in confined spaces.

Which Factors Enhance the Use of Mining Automation in Metal Mining?

Metal mining is emerging as the dominant sector in the mining automation market, driven by the increasing global demand for metals and the need for more efficient and sustainable extraction methods. Automation technologies are being widely adopted in metal mines to improve productivity, safety, and resource utilization. According to the U.S. Geological Survey, automated metal mining operations increased their output by 23% between 2020 and 2023 compared to traditional mining methods. This trend has spurred innovation among industry leaders, with Rio Tinto announcing in January 2024 the deployment of a fully autonomous underground mining system at its copper mine in Utah, featuring AI-driven drilling, haulage, and ore processing capabilities.

The automation of metal mining operations has also led to significant improvements in worker safety and environmental performance. Automated equipment can operate in hazardous environments, reducing the exposure of human workers to potential risks. The International Labour Organization reported a 40% decrease in workplace accidents in automated metal mines from 2021 to 2023. Responding to this trend, BHP unveiled in March 2024 a new suite of autonomous technologies for its iron ore operations in Western Australia, including remote-controlled drilling rigs and automated ore transportation systems, designed to enhance safety while minimizing the environmental footprint of mining activities.

Country/Region-wise Acumens

Will Rising Industrialization Enhance Adoption of Mining Automation in Asia Pacific?

The Asia Pacific region is emerging as the dominant force in the global mining automation market, driven by rapid industrialization, increasing mineral demand, and a strong focus on technological adoption in the mining sector. Countries like China, Australia, and India are at the forefront of this trend, investing heavily in automated mining technologies to improve efficiency and safety. According to China's National Bureau of Statistics, the adoption of automated equipment in large-scale mines increased by 45% between 2020 and 2023. This growth has attracted major players, with Komatsu announcing in December 2023 the establishment of a new autonomous haulage system manufacturing facility in Indonesia, aimed at meeting the rising regional demand for mining automation solutions.

Australia's well-established mining industry has been a key contributor to the region's dominance in mining automation. The country's advanced regulatory framework and focus on innovation have created a conducive environment for the adoption of cutting-edge technologies. The Australian Government's Department of Industry, Science, Energy and Resources reported that mines using fully automated systems saw a 32% increase in productivity from 2021 to 2023. Capitalizing on this trend, Rio Tinto unveiled in February 2024 its next-generation autonomous drilling system at its iron ore operations in Western Australia, featuring AI-driven optimization and remote operation capabilities.

Will Early Adoption of Technologies in North America Driving Mining Automation Market Growth?

North America's mining automation market is experiencing rapid growth, driven by the increasing adoption of advanced technologies in the mining sector. According to the U.S. Geological Survey, the total value of mineral production in the United States reached USD 86.3 Billion in 2019, highlighting the significant economic impact of the industry. This growth has prompted mining companies to invest heavily in automation solutions to enhance efficiency, safety, and productivity across their operations.

The demand for mining automation is further fueled by the need to address labor shortages and improve worker safety in hazardous mining environments. The U.S. Bureau of Labor Statistics reported that employment in the mining and logging sector is projected to decline by 7.7% from 2020 to 2030, emphasizing the industry's shift towards automation. Key players in the market are continuously innovating to meet these evolving needs, with recent developments focusing on autonomous haulage systems, remote-controlled equipment, and AI-driven predictive maintenance solutions.

Competitive Landscape

The mining automation market is a dynamic and competitive space, characterized by a diverse range of players vying for market share. These players are on the run for solidifying their presence through the adoption of strategic plans such as collaborations, mergers, acquisitions, and political support.

The organizations are focusing on innovating their product line to serve the vast population in diverse regions. Some of the prominent players operating in the mining automation market include:

• Caterpillar, Inc.
• Komatsu Ltd.
• Sandvik AB
• ABB Ltd.
• Siemens AG
• Hexagon AB
• Rockwell Automation, Inc.
• Trimble, Inc.
• Atlas Copco AB
• Vale SA
• BHP Group
• Rio Tinto Group
• Siemens AG
• Honeywell International, Inc.
• Emerson Electric Co.
• Epiroc AB
• P&H Mining Equipment (a subsidiary of Komatsu)
• Hitachi Construction Machinery Co., Ltd.
• GE Mining (a subsidiary of General Electric)
• Schneider Electric SE

Latest Developments

• In October 2023, Caterpillar and Hexagon announced a collaboration to enhance automation technologies for underground mining operations, focusing on improving safety and operational efficiency.
• In September 2023, a major mining company successfully implemented a fleet of autonomous haul trucks, resulting in a 15% increase in productivity and a significant reduction in operational costs.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL MINING AUTOMATION MARKET

• 1.1 Overview of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4 GLOBAL MINING AUTOMATION MARKET OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
  • 4.2.3 Opportunities
• 4.3 Porters Five Force Model
• 4.4 Value Chain Analysis

5 GLOBAL MINING AUTOMATION MARKET, BY TECHNIQUE

• 5.1 Overview
• 5.2 Underground Mining
• 5.3 Surface Mining

6 GLOBAL MINING AUTOMATION MARKET, BY WORKFLOW

• 6.1 Overview
• 6.2 Mining Process
• 6.3 Mine Development
• 6.4 Mine Maintenance

7 GLOBAL MINING AUTOMATION MARKET, BY GEOGRAPHY

• 7.1 Overview
• 7.2 North America
  • 7.2.1 U.S.
  • 7.2.2 Canada
  • 7.2.3 Mexico
• 7.3 Europe
  • 7.3.1 Germany
  • 7.3.2 U.K.
  • 7.3.3 France
  • 7.3.4 Rest of Europe
• 7.4 Asia Pacific
  • 7.4.1 China
  • 7.4.2 Japan
  • 7.4.3 India
  • 7.4.4 Rest of Asia Pacific
• 7.5 Rest of the World
  • 7.5.1 Latin America
  • 7.5.2 Middle East and Africa

8 GLOBAL MINING AUTOMATION MARKET COMPETITIVE LANDSCAPE

• 8.1 Overview
• 8.2 Company Market Ranking
• 8.3 Key Development Strategies

9 COMPANY PROFILES

• 9.1 CATERPILLAR
  • 9.1.1 Overview
  • 9.1.2 Financial Performance
  • 9.1.3 Product Outlook
  • 9.1.4 Key Developments
• 9.2 RPM GLOBAL
  • 9.2.1 Overview
  • 9.2.2 Financial Performance
  • 9.2.3 Product Outlook
  • 9.2.4 Key Developments
• 9.3 KOMATSU
  • 9.3.1 Overview
  • 9.3.2 Financial Performance
  • 9.3.3 Product Outlook
  • 9.3.4 Key Developments
• 9.4 SANDVIK
  • 9.4.1 Overview
  • 9.4.2 Financial Performance
  • 9.4.3 Product Outlook
  • 9.4.4 Key Developments
• 9.5 ATLAS COPCO
  • 9.5.1 Overview
  • 9.5.2 Financial Performance
  • 9.5.3 Product Outlook
  • 9.5.4 Key Developments
• 9.6 HEXAGON
  • 9.6.1 Overview
  • 9.6.2 Financial Performance
  • 9.6.3 Product Outlook
  • 9.6.4 Key Developments
• 9.7 HITACHI
  • 9.7.1 Overview
  • 9.7.2 Financial Performance
  • 9.7.3 Product Outlook
  • 9.7.4 Key Developments
• 9.8 TRIMBLE
  • 9.8.1 Overview
  • 9.8.2 Financial Performance
  • 9.8.3 Product Outlook
  • 9.8.4 Key Developments
• 9.9 AUTONOMOUS SOLUTIONS INC.
  • 9.9.1 Overview
  • 9.9.2 Financial Performance
  • 9.9.3 Product Outlook
  • 9.9.4 Key Developments
• 9.10 FLUIDMESH NETWORKS
  • 9.10.1 Overview
  • 9.10.2 Financial Performance
  • 9.10.3 Product Outlook
  • 9.10.4 Key Developments

10 KEY DEVELOPMENTS

• 10.1 Product Launches/Developments
• 10.2 Mergers and Acquisitions
• 10.3 Business Expansions
• 10.4 Partnerships and Collaborations

11 Appendix

• 11.1 Related Research