South America Smart Mining Market Size, Share, and Analysis by 2028

Historic Data: 2019-2020   |   Base Year: 2021   |   Forecast Period: 2022-2028

South America Smart Mining Market Forecast to 2028 - COVID-19 Impact and Regional Analysis By Component (Hardware, Software and Solution, and Services) and Mining Type (Underground Mining and Surface Mining)

  • Report Date : Sep 2021
  • Report Code : TIPRE00024832
  • Category : Electronics and Semiconductor
  • Status : Published
  • Available Report Formats : pdf-format excel-format
  • No. of Pages : 139
Page Updated: Sep 2021

The SAM smart mining market is expected to grow from US$ 388.52 million in 2021 to US$ 865.93 million by 2028; it is estimated to grow at a CAGR of 12.1% from 2021 to 2028.

Brazil and Argentina are major economies in SAM. Ensuring data security will surge the SAM smart mining market. Data sources in the mining industry can be classified into two parts, namely, direct, or indirect (ancillary) measurements. Direct measurement sources are those taken by instruments such as GPS and conventional geodetic surveys. Indirect references refer to systems that collect data as a by-product of processes or operations such as Fleet Management Systems, SCADA or DCS data, blast hole drills, and geomodelling data. For improving ore recovery, an ore body modelling technique is used. The model provides geological patterns that help in determining the drill holes. The right mining decisions, therefore, depends on the availability of correct data from multiple systems combined with real-time data analytics. These decisions can be applied to mining production, exploration, and operations. They can also be used for monitoring and reporting metrics and KPIs.    Additionally, they help in identifying root causes for operational bottlenecks such as unscheduled truck maintenance delays, long queuing time of trucks and LHDs, delays in lab samples undergoing quality control and batch processing, etc. Mining companies usually have confidential data, which needs to be protected during accidents and unpredicted natural hazards. Digitizing the mining processes may pave the way for hackers to access the network and regulate the operations of the mine. An effective way to protect the on-site data is by using on-site data acquisition systems that help prevent data, as their wireless network of geophysical sensors is concentrated in an area being tracked at the site. Smart mining systems collect and process their data on servers located / near the site, which are only connected to the network. This ensures that hackers are unable to access the system, and thus, provides data security. Therefore, growing security concerns will escalate the demand of smart mining, thereby driving the SAM market growth in coming years.

In case of COVID-19, SAM is highly affected especially Brazil, followed by Ecuador, Chile, Peru, and Argentina, among others. Most of the commercial operations in the region have been shut down to prevent the spread of the disease. Lockdowns imposed in cities have compelled most production plant operators to suspend their operation indefinitely, which has led to the discontinuation in the demand for mechanical and electronic parts. Therefore, the COVID-19 pandemic is restraining the smart mining market growth in SAM. However, the mining industry is likely to pick up pace soon after the governments across the region steadily lift the various containment measures in order to revive the economy. The production of the mining equipment is anticipated to gain pace from 2022, which is further foreseen to positively influence the mining industry, including hardware components of mining.

With the new features and technologies, vendors can attract new customers and expand their footprints in emerging markets. This factor is likely to drive the SAM smart mining market. The SAM smart mining market is expected to grow at a good CAGR during the forecast period. 
SAM smart mining market

  • This FREE sample will include data analysis, ranging from market trends to estimates and forecasts.

SAM Smart Mining Market Segmentation   

SAM Smart Mining Market – By Component

  • Hardware
    • RFID Tags
    • Sensors
    • Intelligent System
    • Others
  • Software and Solution
    • Logistics Software
    • Data & Operation Management Software
    • Safety & Security Systems
    • Connectivity Solutions
    • Analytics Solutions
    • Remote Management Solutions
    • Asset Management Solutions
  • Services

SAM Smart Mining Market – By Mining Type

  • Underground Mining
  • Surface Mining

SAM Smart Mining Market, by Country

  • Brazil
  • Argentina
  • Rest of SAM    

SAM Smart Mining Market -Companies Mentioned

  • ABB Ltd.
  • Caterpillar Inc.
  • Hexagon AB
  • Hitachi, Ltd.
  • Intellisense.io
  • MineSense
  • Rockwell Automation, Inc.
  • SAP SE
  • Trimble Inc.

South America Smart Mining Report Scope

Report Attribute Details
Market size in 2021 US$ 388.52 Million
Market Size by 2028 US$ 865.93 Million
CAGR (2021 - 2028) 12.1%
Historical Data 2019-2020
Forecast period 2022-2028
Segments Covered By Component
  • Hardware
  • Software and Solution
  • Services
By Mining Type
  • Underground Mining and Surface Mining
Regions and Countries Covered South and Central America
  • Brazil
  • Argentina
  • Rest of South and Central America
Market leaders and key company profiles
  • ABB Ltd.
  • Caterpillar Inc.
  • Hexagon AB
  • Hitachi, Ltd.
  • Intellisense.io
  • MineSense
  • Rockwell Automation, Inc.
  • SAP SE
  • Trimble Inc.
Naveen Chittaragi
Associate Vice President,
Market Research & Consulting

Naveen is an experienced market research and consulting professional with over 9 years of expertise across custom, syndicated, and consulting projects. Currently serving as Associate Vice President, he has successfully managed stakeholders across the project value chain and has authored over 100 research reports and 30+ consulting assignments. His work spans across industrial and government projects, contributing significantly to client success and data-driven decision-making.

Naveen holds an Engineering degree in Electronics & Communication from VTU, Karnataka, and an MBA in Marketing & Operations from Manipal University. He has been an active IEEE member for 9 years, participating in conferences, technical symposiums, and volunteering at both section and regional levels. Prior to his current role, he worked as an Associate Strategic Consultant at IndustryARC and as an Industrial Server Consultant at Hewlett Packard (HP Global).

  • Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
  • PEST and SWOT Analysis
  • Market Size Value / Volume - Regional, Country
  • Industry and Competitive Landscape
  • Excel Dataset

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