The global Smart Mining market worth US$ 36.3 Bn by 2032, growing at a CAGR of 11.1 %

Some of the major factors expected to drive the smart mining market over the forecast period include rising focus over safety & health, swift adoption of IoT solutions in developed countries as well as growth in implementation of autonomous equipment. On the other hand, deficiency of highly skilled & experienced labor, obtainability of deprived infrastructure plus stringent regulations of government about air, water and environment are the certain factors expected to restrain the market growth in upcoming years.

The smart mining market has been segmented by different hardware component, software solution, automated equipment, services and geography. Further, automated equipment segment of the market is sub-segmented to load haul dump, excavators, robotic truck, drillers & breakers and other. Similarly, hardware component segment of the smart mining market is sub-divided into RFID tags, intelligent systems, sensors and others. Likewise, software solution segment has been bifurcated into data & operation management software, logistics software, safety & security systems, connectivity solutions, remote management solutions, analytics solutions and asset management solutions. On the basis of services segment of the market has been sub-segmented to support & maintenance, product training services, system integration & implementation services and consulting services.

Geographical segmentation of the global smart mining market is divided to certain key regions including Europe, North America, Middle East & Africa, Asia Pacific and Latin America. Asia-Pacific region dominates the market with highest smart mining market share since past few years. The Asia Pacific region of smart mining market is trailed by Europe and North America respectively.

Competitive landscape of the global smart mining market is moderately fragmented as well as competent with the prominent participant operating in the market. Some of the key players in the market include Rockwell Automation Inc., SAP SE, Trimble Navigation Limited, ABB Ltd., HEXAGON, STONE THREE MINING PTY LTD, Alastri, SYMBOTICWARE INC., IntelliSense.io, Caterpillar Inc., Atlas Copco, Sandvik AB, Alcatel-Lucent, Hitachi Construction Machinery Co. Ltd., Joy Global Inc., Komatsu Ltd. and Cisco Systems Inc.

Smart Mining Market Scope

Key segments of global smart mining market include:

• Hardware component Segment

• RFID tags
• Intelligent systems
• Sensors
• Others

• Software solution Segment

• Data & operation management software
• Logistics software
• Safety & security systems
• Connectivity solutions
• Remote management solutions
• Analytics solutions
• Asset management solutions

• Automated equipment Segment

• Load haul dump
• Excavators
• Robotic truck
• Drillers & breakers
• Other

• Services Segment

• Support & maintenance
• Product training services
• System integration & implementation services
• Consulting services.

• Geographical Segment

• Europe
• North America
• Middle East & Africa
• Asia Pacific
• Latin America

What to expect from the upcoming report on ‘Global Smart Mining Market’:

- Analyzes about future prospects as well as Global Smart Mining market trends market over the forecast period (2018-2025)

- Information regarding technological progressions as well as innovations taking place in developing as well as developed economies and also various macro & microeconomic factors that affect the growth of the market.

- Supportive initiatives by government likely to influence the market dynamics.

- Key drivers influencing market’s growth, opportunities, restraints, sales channels and distributors.

- In-depth analysis of different market segmentations including hardware component, software solution, automated equipment, services and geographical regions.

- Deep analysis about the competitive landscape of the market and the initiatives by them to improve this market such as expansions, growth strategies, agreements, new product launches and acquisitions in the market

- Value Chain and Sales Channels Analysis