基于(关键地区、市场参与者、规模和份额)的智能采矿市场 - 到 2030 年的预测

  • Report Code : TIPRE00007870
  • Category : Electronics and Semiconductor
  • Status : Published
  • No. of Pages : 227
Buy Now

【研究报告】2022年智能矿业市场规模为130.6亿美元,预计到2030年将达到285.3亿美元。预计2022年至2030年智能矿业市场复合年增长率为10.3%。
智能采矿市场分析师观点:
矿业公司专注于通过提供新颖的软件和解决方案来提高生产力,这对智能采矿市场产生了积极影响。创新技术的不断普及有助于矿业公司降低额外的运营成本,从而显着节省成本。这些因素正在增加对智能采矿的需求。与技术采用落后的公司相比,采用现有综合技术的智能矿山可以更快地实现流程自动化。由于安装了先进的技术,采矿公司可以扩大生产能力,预计这将推动预测期内智能采矿市场的增长。
智能采矿市场概述:
安装无线传感器网络在矿井中进行远程读数可以促进数字化。在维护中使用运营智能 (OI) 技术进行预测分析和无线监控,使采矿运营商能够跟踪运营属性,以减轻采矿和其他行业关键任务所涉及的风险。此外,对矿物和金属的需求增加导致采矿活动增加,从而推动智能采矿业的增长。自主设备的日益普及、人们对安保和安全的担忧增加以及日益严重的环境问题正在推动智能采矿市场的增长。此外,智能采矿技术比传统采矿技术更安全、更环保。
战略见解
智能采矿市场驱动因素:
日益增长的需要保持劳动力安全以推动智能采矿市场的增长
矿区是人们工作的危险场所之一,工人的安全是世界范围内的一个重要问题。例如,当矿井发生故障时,工人和矿井周围的人都会受到影响,甚至丧生。例如,根据矿山安全与健康管理局的数据,2023 年前六周内有 7 名矿工因触电事故死亡。采矿现场的两名卡车司机接触到了一根架空电线。司机们走出卡车驾驶室,接触到了电能。在偏远矿场进行手动读数的工人面临着生命危险。智能采矿技术在提高工人安全方面发挥着至关重要的作用。在采矿现场实施自动化移动资产(例如车辆、无线设备、远程传感器和实时数据分析)可以减少对现场劳动力的需求。自动化移动资产可检测气体泄漏、监控地面稳定性并评估实时设备运行状况。这些数据可帮助矿工和操作员解决安全问题,主动预防事故和死亡。远程传感器和实时数据分析提供了采矿环境的完整视图,从而提高了工人的保护水平。此外,自动化系统通过减少工人进入高风险区域的需要来提高安全性。运营智能 (OI) 解决方案执行的预测分析和观察使采矿运营商能够预测并避免危险事故。借助无线可穿戴设备进行劳动力监控通常有助于操作员有效组织员工,并使工人远离采矿现场的危险区域。
智能采矿技术有助于最大限度地减少采矿作业期间造成的威胁和损害。采矿业利用物联网在采矿设备上添加传感器,以实时通信和监控数据,确保工人的安全。传感器还可以安装在工人的衣服上,通过跟踪和传输有关他们的身体健康和状况的数据来监测他们的健康状况。他们还可以在发生事故时发出警报。力拓 (Rio Tinto) 和 Boliden 等全球主要矿业公司正在集成物联网来远程监控和控制采矿作业。例如,2020 年,瑞典矿业公司 Boliden 与 Cisco 和 Sandvik Mining and Rock Technology 合作,改善其采矿作业。 Boliden 使用思科的物联网技术和山特维克的 AutoMine 进行自主采矿设备和 OptiMine 软件来分析和优化生产。这些技术帮助 Boliden 采矿工程师从控制室远程安全地操作机器。智能采矿支持矿工轻松、安全地处理矿场使用的重型机器、设备、车辆和设备。此外,对保护劳动力和遵守采矿业严格安全法规的坚定承诺加速了智能采矿解决方案的采用,推动了智能采矿市场的发展。
智能采矿市场报告细分和范围:
智能采矿采矿市场根据组件和采矿类型进行细分。根据组件,智能采矿市场分为自动化设备、硬件组件、软件解决方案、服务。根据采矿类型,智能采矿市场分为地下采矿和露天采矿。智能采矿市场根据地理位置分为北美、欧洲、亚太地区、中东和非洲以及南美洲。
智能采矿市场细分分析:
根据组成部分,智能采矿市场分为自动化设备、硬件组件、软件解决方案和服务。自动化设备细分为装载运输自卸车、机器人卡车、钻机和破碎机、挖掘机和其他自动化设备。自动化设备细分市场在 2022 年占据最大的智能采矿市场份额,预计在预测期内将实现市场最高的复合年增长率。挖掘机是一种重型建筑设备,主要用于挖掘、挖沟和土方作业。它由安装在旋转平台上的铲斗、动臂和驾驶室组成,使其能够在采矿、挖掘和建筑项目中执行各种任务。由于远程信息处理、GPS 系统和远程监控功能等先进技术的部署,挖掘机在智能采矿市场中发挥着至关重要的作用。这些智能挖掘机可以进行精确的挖掘和物料搬运,提高生产率,减少效率低下,并最大限度地降低事故风险。智能设备的日益普及有助于矿工优化其流程,从而增加了智能采矿市场对技术先进挖掘机的需求。多家公司正在开发智能挖掘机,以提高采矿作业的运营效率,这有望推动智能采矿市场的发展。
智能采矿市场区域分析:
智能采矿市场大致分为五个主要区域:北方美洲、欧洲、亚太地区 (APAC)、中东和非洲 (MEA) 以及南美洲。 2022 年,北美占据最大的智能挖矿市场份额,其次是亚太地区和欧洲。此外,预计从 2022 年到 2030 年,亚太地区的复合年增长率将达到最高。由于智能采矿辅助采矿公司部署了解决方案,以最大限度地降低劳动力成本并提高生产效率,北美智能采矿市场出现了巨大增长。实时通信和监控的帮助。该地区包括多个露天和地下矿井,其中一些矿井预计将保持较长时间的运营。例如,莫伦奇矿是美国亚利桑那州的一个铜矿开采项目。自由港麦克莫兰公司拥有棕地项目,计划运行至 2044 年。到 2022 年,该矿山预计产量 171.98 吨。
智能采矿市场主要参与者分析:
智能采矿市场主要参与者介绍该报告包括 ABB Ltd、Alastri、Caterpillar Inc、Intellisense.io、Hexagon AB、Hitachi Ltd、MineSense、Rockwell Automation Inc、SAP SE 和 Trimble Inc。其中,ABB Ltd 和 SAP SE 是智能采矿市场的顶级参与者因为他们提供多元化的产品组合。
最新动态:
智能采矿市场参与者高度采用无机和有机策略。下面列出了近期的一些关键市场动态:
2023 年 9 月,Gold Fields Limited 在珀斯东北 740 公里处的矿山部署了 ABB 能力运营管理系统 (OMS)。 OMS 有助于 GoldField 对格兰尼·史密斯 (Granny Smith) 运营进行数字化转型,旨在提高生产力并简化数据流,以实现及时决策。从地下矿山开采出约 160 万吨含金矿石,并在现场的加工厂进行处理。2023 年 7 月,结合传感器、软件和自主技术的数字现实解决方案的全球领导者 Hexagon AB 宣布收购HARD-LINE 是一家快速发展的矿山自动化、远程控制技术和矿山生产优化领域的全球领导者。2023 年 7 月,海克斯康采矿部门与 Minera San Cristóbal SA 部署了车队管理和安全实施项目,作为该项目的一部分,该公司向玻利维亚波托西省利佩斯的 San Cristóbal 露天矿作业部署了 65 个 HxGN MineOperate OP Pro 系统、近 40 个 HxGN MineProtect 防撞系统 (CAS) 和 30 个 HxGN MineProtect 操作员警报系统 (OAS)。 2023年,全球采矿解决方案公司巴斯夫与IntelliSense.io合作,利用科学人工智能技术优化矿石加工作业。2023年12月,MineSense Technologies Ltd(“MineSense”)宣布已完成4200万美元系列融资E轮融资由摩根大通资产管理公司的可持续增长股权团队牵头,新投资者Evok Innovations(一家气候技术和可持续发展风险基金)以及现有投资者(包括Prelude Ventures、BDC工业创新风险基金、Cycle Capital和Chrysalix Venture Capital)参与其中2021 年 6 月,卡特彼勒公司在 MINExpo 2021 上推出了新技术和设备。卡特彼勒在 MINExpo 2021 上的经历庆祝了该公司与矿山的合作伙伴关系,以及它如何帮助客户更高效、有效、安全和可持续地采矿。 5,124 平方米(55,000 平方英尺)的展览展示了各种产品展示、新设备介绍、未来预览和远程操作站。
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

Frequently Asked Questions


What are the driving factors impacting the Smart Mining Market?

The growing need to keep the workforce safe is driving the smart mining market growth.

What are the future trends of the Smart Mining Market?

The rising need to introduction of Industrial Internet of Things(IoT).

Which are the key players holding the major market share of the smart mining market?

The key players holding majority shares in the smart mining market include ABB Ltd, SAP SE, Rockwell Automation, Caterpillar Inc., Hexagon AB

Which country is holding the major market share of Smart Mining Market?

The US held the largest market share in 2022, followed by China.

What is the estimated global market size for the Smart Mining Market in 2022?

The Smart Mining Market was US$ 13.06 billion in 2022 and is expected to grow at a 10.3% CAGR from 2022 - 2030.

Which is the fastest growing country market?

India is anticipated to grow with the highest CAGR over the forecast period.

The List of Companies - Smart Mining Market 

  1. ABB Ltd
  2. Alastri
  3. Caterpillar Inc
  4. Intellisense.io
  5. Hexagon AB
  6. Hitachi Ltd
  7. MineSense
  8. Rockwell Automation Inc
  9. SAP SE
  10. Trimble Inc

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

Your data will never be shared with third parties, however, we may send you information from time to time about our products that may be of interest to you. By submitting your details, you agree to be contacted by us. You may contact us at any time to opt-out.

Related Reports