Global Smart Mining Market Is Expected To Reach Around USD 22.19 Billion By 2025

Zion Market Research has published a new report titled “Smart Mining Market by Automated Equipment (Excavators, Load Haul Dump, Drillers & Breakers, Robotic Truck, and Others), by Hardware Component (Sensors, RFID Tags, Intelligent Systems, and Others), and by Software Solutions (Smart Logistics, Smart Control Systems, Remote Management Solution, Smart Safety and Security System, Smart Assets, and Operational Data Processing and Analytics): Global Industry Perspective, Comprehensive Analysis, and Forecast, 2018–2025”. According to the report, the global smart mining market was valued at USD 8.6 billion in 2018 and is expected to reach USD 22.19 billion by 2025, at a CAGR of 14.5% between 2019 and 2025.

In earlier times, miners were mainly dependent on the labor force for the mining process. However, to ease the manual work for reducing the associated costs and utilized time, smart mining was introduced. Some of the trending smart mining technologies include sensors, RFID tags, and automated mining equipment, etc. The global smart mining market is expected to grow notably in the next few years, owing to the increasing use of the Internet of Things (IoT) solutions by the mining industry. Moreover, the growing concerns regarding labor’s safety in the mining industry are likely to further propel the smart mining market globally. Additionally, this market’s rapid growth can also be attributed to growing urbanization and swift industrialization in emerging countries of the world.

Browse the full “Smart Mining Market by Automated Equipment (Excavators, Load Haul Dump, Drillers & Breakers, Robotic Truck, and Others), by Hardware Component (Sensors, RFID Tags, Intelligent Systems, and Others), and by Software Solutions (Smart Logistics, Smart Control Systems, Remote Management Solution, Smart Safety and Security System, Smart Assets, and Operational Data Processing and Analytics): Global Industry Perspective, Comprehensive Analysis, and Forecast, 2018–2025” Report at https://www.zionmarketresearch.com/report/smart-mining-market

The global smart mining market is classified based on automated equipment, hardware component, and software solutions. The automated equipment segment of the smart mining market includes load haul dump, drillers and breakers, excavators, robotic truck, and others. Automated excavators equipment is expected to hold the largest share of the global smart mining market, owing to the rising demand for automated excavator in the mining industry. By hardware component, the market includes RFID tags, intelligent systems, sensors, and others. Intelligent systems accounted for the largest share of the global smart mining market in 2018 and are projected to dominate in the future as well. The smart mining market is segmented on the basis of software solutions into smart logistics, smart assets, smart control systems, smart safety and security system, remote management solution, and operational data processing and analytics. The operational data processing and analytics segment dominated the global smart mining market in 2018 and is anticipated to grow at the fastest pace over the forecast time period.

By region, Asia Pacific was the largest contributing region in the global smart mining market in 2018. This can be attributed to rising urbanization and swift industrialization in China and India, growing IoT usage in various industrial applications, and rising concerns regarding labor safety. The North American smart mining market is likely to grow significantly in the future, due to the rising demand for smart mining in the U.S. and Mexico. The U.S. is expected to be the fastest growing country within the region. The European smart mining market is predicted to grow moderately in the years ahead, owing to the increasing need for automated equipment in the mining industry.

Some noticeable players of the global smart mining market are Rockwell Automation, Komatsu, Hexagon, Trimble Navigation Limited, Stone Three Mining, Sandvik, SAP, Alastri, IntelliSense, Symboticware, ABB, Alcatel-Lucent, Caterpillar, Hitachi Construction Machinery, Joy Global, Cisco Systems, and Atlas Copco.

The report segments the global smart mining market into:

Global Smart Mining Market: Automated Equipment Analysis

• Excavators
• Load Haul Dump
• Drillers and Breakers
• Robotic Truck
• Others

Global Smart Mining Market: Hardware Component Analysis

• Sensors
• RFID Tags
• Intelligent Systems
• Others

Global Smart Mining Market: Software Solutions Analysis

• Smart Logistics
• Smart Control Systems
• Remote Management Solution
• Smart Safety and Security System
• Smart Assets
• Operational Data Processing and Analytics

Global Smart Mining Market: Regional Analysis

• North America
  • The U.S.
• Europe
  • UK
  • France
  • Germany
• Asia Pacific
  • China
  • Japan
  • India
• Latin America
  • Brazil
• The Middle East and Africa

About Us:
Zion Market Research is an obligated company. We create futuristic, cutting-edge, informative reports ranging from industry reports, the company reports to country reports. We provide our clients not only with market statistics unveiled by avowed private publishers and public organizations but also with vogue and newest industry reports along with pre-eminent and niche company profiles. Our database of market research reports comprises a wide variety of reports from cardinal industries. Our database is been updated constantly in order to fulfill our clients with prompt and direct online access to our database. Keeping in mind the client’s needs, we have included expert insights on global industries, products, and market trends in this database. Last but not the least, we make it our duty to ensure the success of clients connected to us—after all—if you do well, a little of the light shines on us.

Contact Us:
Zion Market Research
244 Fifth Avenue, Suite N202
New York, 10001, United States
Tel: +49-322 210 92714
USA/Canada Toll-Free No.1-855-465-4651
Email: sales@zionmarketresearch.com
Website: https://www.zionmarketresearch.com