Smart Mining Market Surges, CAGR at 11.2%, Revenue Hits US$ 40,365.1 Million

The global smart mining market is poised for significant growth in the coming decade. In 2023, it is projected to generate revenue of US$ 13,919.5 million, and this figure is expected to skyrocket to an impressive US$ 40,365.1 million by 2033. This remarkable expansion reflects the increasing adoption of smart mining technologies and solutions across the industry. With a projected CAGR of 11.2% between 2023 and 2033

The need for smart mining technologies including mining analytics platforms has surged on a higher scale for providing enhanced new capabilities for planning, analyzing, and maintenance of mining operations. Therefore, sustainable mining automation solutions help in increasing energy efficiency, productivity, and safety in the mines.

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Key Takeaways from the Smart Mining Market Report:

  • Mining is considered a capital-intensive industry that incorporates maximum asset utilization and throughput. One of the most vital resources in mining is data. Daily, massive amounts of useful data are produced by automated drills, trucks, conveyors, ships, and trains. Several companies are enhancing the security and productivity of their operations by fusing this data with intelligent analytics, AI, machine learning, and underground mining automation.
  • Mining firms are expected to unlock value-boosting abilities by gathering and utilizing big data from numerous data sources, analyzing it with modern data analytics, and implementing the results. The mining sector helps enhance productivity, reducing operational inefficiencies, and reacting to risks more effectively with trustworthy data.
  • The development of an intelligent infrastructure is done by the employment of big data analytics and BDM (big data management) in mining that advances over time. Therefore, analytics is expected to be a crucial factor in enhancing asset usage, increasing productivity, and addressing delays in material flow.
  • The adoption of artificial intelligence in mining operations helps in the transformation of operations from being people-oriented to being process-oriented. AI-enhanced intelligent mining streamlines the supply chain with features like real-time shipment tracking, predictive mine maintenance, intelligent management of inventories, and more. Therefore, by using automated mining equipment, and mining analytics platforms, the mining process is digitally integrated, which minimizes complexity and enhances decision-making.
  • Technology is responsible for affecting the fundamentals of business in the digital age. IoT solutions are excessively being deployed by asset-intensive businesses including utilities, oil and gas, energy, manufacturing, and construction to improve productivity and cut costs.
  • The smart mining market is anticipated to propel owing to the increasing adoption of IoT in the mining industry for performance enhancements, analytical maintenance, cost optimization, and improved safety, and it will present lucrative growth opportunities for smart mining vendors.

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More Insights into the Smart Mining Market:
According to the FMI analysis, China is expected to showcase lucrative growth in the market by 3.5X during the forecast period of 2022 and 2032, making it one of the most profited markets across East Asia. Growth in China’s smart mining market is fueled by the booming mining industry and the increasing adoption of advanced technologies in mining processes.

The growth of smart mining technologies is predicted to surge in the U.S. and is expected to account for about 74.7% of the North American market share in 2022. The country is expected to witness favorable growth in the market owing to the introduction of connected technologies in the mining industry as a result of its technological advancements

India is yet another country anticipated to grow by 5.6X during the forecast period of 2022-2032 owing to the rapid growth of the mining industry along with the growing need for improving overall productivity and enhancing workers’ safety.

Competitive Landscape:
Prominent players in the smart-miming market are focusing on extensively spreading their product portfolios by launching new products and services. In addition to that, they are also adopting strategies including acquisitions, partnerships, mergers, and collaborations to expand their global footprint.

Leading Key Players:

  • Hitachi Construction Machinery Co. Ltd
  • ABB Ltd
  • Komatsu Ltd
  • Outotec Oyj
  • Copco
  • Caterpillar Inc
  • Rockwell Automation
  • Cisco Systems Inc
  • Rio Tinto
  • Bosch Global
  • Trimble

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Smart Mining Market Segmentation:

By Automated Equipment:

  • Driller & Breaker
  • Load Haul Dump
  • Mining Excavator
  • Robotic Truck
  • Other Automated Equipment

By Component:

  • Hardware
  • Intelligent System
  • RFID Tag and Sensor
  • Other Hardware

By Solution:

  • Data & Operation Management Software
  • Analytics Solution
  • Connectivity Platform

By Services:

  • Engineering & Maintenance Service
  • Consulting Service
  • Product Training Service
  • Implementation & Integration Service

By Region:

  • North America
  • Latin America
  • Europe
  • East Asia
  • South Asia & Pacific
  • Middle East and Africa (MEA)

About Future Market Insights (FMI):

Future Market Insights, Inc. (ESOMAR certified, recipient of the Stevie Award, and a member of the Greater New York Chamber of Commerce) offers profound insights into the driving factors that are boosting demand in the market. FMI stands as the leading global provider of market intelligence, advisory services, consulting, and events for the Packaging, Food and Beverage, Consumer Technology, Healthcare, Industrial, and Chemicals markets. With a vast team of over 5000 analysts worldwide, FMI provides global, regional, and local expertise on diverse domains and industry trends across more than 110 countries.

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About the Author

Nikhil Kaitwade

Associate Vice President at Future Market Insights, Inc. has over a decade of experience in market research and business consulting. He has successfully delivered 1500+ client assignments, predominantly in Automotive, Chemicals, Industrial Equipment, Oil & Gas, and Service industries.
His core competency circles around developing research methodology, creating a unique analysis framework, statistical data models for pricing analysis, competition mapping, and market feasibility analysis. His expertise also extends wide and beyond analysis, advising clients on identifying growth potential in established and niche market segments, investment/divestment decisions, and market entry decision-making.
Nikhil holds an MBA degree in Marketing and IT and a Graduate in Mechanical Engineering. Nikhil has authored several publications and quoted in journals like EMS Now, EPR Magazine, and EE Times.

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