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市場調査レポート
商品コード
1658070
マイニングオートメーション市場規模、シェア、成長分析:提供別、技術別、ワークフロー別、地域別 - 産業予測 2025~2032年Mining Automation Market Size, Share, and Growth Analysis, By Offering (Equipment, Software), By Technique (Underground Mining, Surface Mining), By Workflow, By Region - Industry Forecast 2025-2032 |
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マイニングオートメーション市場規模、シェア、成長分析:提供別、技術別、ワークフロー別、地域別 - 産業予測 2025~2032年 |
出版日: 2025年02月17日
発行: SkyQuest
ページ情報: 英文 184 Pages
納期: 3~5営業日
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マイニングオートメーション市場規模は2023年に56億7,000万米ドルと評価され、2024年の60億8,000万米ドルから2032年には106億9,000万米ドルに成長し、予測期間(2025-2032年)のCAGRは7.3%で成長する見通しです。
世界のマイニングオートメーション市場は、人工知能(AI)、ロボット工学、モノのインターネット(IoT)などの先進技術の急速な導入により大きな成長を遂げています。これらの技術革新は生産効率を高め、作業員の安全性を向上させ、可視化ツールによるリアルタイムのデータ監視を可能にします。企業は、自動化ソリューションを統合するために、技術系企業との協業を増やしています。例えば、IBMは2021年4月にmyInvenioを買収し、IBMクラウド内のプロセスマイニング機能を強化し、ロボットによる自動化を促進しています。さらに、ABBは2020年11月に、初のSIL 3認証安全システムであるABB Ability Safety Plus mine hoist suiteを発表し、リスク軽減の強化を確保しました。作業員の安全性と作業効率に対する需要の高まりは、インテリジェントな採鉱システムとオートメーションソリューションの進歩を促進し続けています。
Mining Automation Market size was valued at USD 5.67 billion in 2023 and is poised to grow from USD 6.08 billion in 2024 to USD 10.69 billion by 2032, growing at a CAGR of 7.3% during the forecast period (2025-2032).
The Global Mining Automation Market is experiencing significant growth driven by the rapid adoption of advanced technologies such as Artificial Intelligence (AI), robotics, and the Internet of Things (IoT). These innovations enhance production efficiency, improve worker safety, and enable real-time data monitoring through visualization tools. Companies are increasingly collaborating with tech firms to integrate automation solutions. For instance, IBM acquired myInvenio in April 2021 to enhance its process mining capabilities within the IBM Cloud, facilitating robotic automation. Additionally, ABB introduced the ABB Ability Safety Plus mine hoist suite in November 2020, the first SIL 3-certified safety system, ensuring enhanced risk mitigation. The rising demand for worker safety and operational efficiency continues to drive advancements in intelligent mining systems and automation solutions.
Top-down and bottom-up approaches were used to estimate and validate the size of the Mining Automation market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Mining Automation Market Segments Analysis
Global Mining Automation Market is segmented by Offering, Technique, Workflow and region. Based on Offering, the market is segmented into Equipment, Software and Communication Systems. Based on Technique, the market is segmented into Underground Mining and Surface Mining. Based on Workflow, the market is segmented into Mining Process, Mine Maintenance and Mine Development. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Mining Automation Market
The rising demand for fleet management systems is a key driver in the Global Mining Automation Market. As population growth and rapid industrialization escalate the need for resources and minerals, mining operations are expanding to meet this surge. In this scenario, connected fleet management solutions are becoming indispensable for optimizing mining logistics and operational efficiency. These systems enable mining companies to enhance real-time decision-making, streamline planning, and reduce operational costs. By integrating automation, predictive maintenance, and data-driven insights, fleet management solutions improve productivity while minimizing downtime. As mining firms increasingly prioritize cost-efficiency and sustainability, the adoption of these advanced technologies continues to rise, significantly driving the market forward.
Restraints in the Mining Automation Market
The high production costs associated with Mining Automation manufacturing pose a significant restraint on market growth. The production process is highly complex, requiring substantial capital investment in specialized equipment, advanced processing technologies, and stringent quality control measures. Additionally, the costs of key raw materials, such as silicon dioxide, along with high energy consumption, further drive up manufacturing expenses. These elevated costs make Mining Automation products less affordable, limiting their accessibility, particularly for price-sensitive end users. As a result, smaller manufacturers and emerging market players may struggle to compete, further constraining market expansion. The financial burden associated with production infrastructure and operational expenditures remains a critical challenge for industry stakeholders, potentially slowing overall market growth.
Market Trends of the Mining Automation Market
The high initial capital investment required for implementing mining automation systems poses a significant restraint in the Global Mining Automation Market. The adoption of automation technologies demands substantial financial resources for procuring advanced equipment, integrating specialized software, upgrading existing infrastructure, and providing extensive workforce training. These costs can be particularly burdensome for small and mid-sized mining companies that may lack the necessary financial flexibility to make such investments. Additionally, the long payback period and uncertainty regarding return on investment further discourage companies from transitioning to automation. As a result, many mining operations, particularly in developing regions, hesitate to adopt automation solutions, limiting market expansion and slowing the overall technological transformation of the industry.