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Connected Mining Market - Forecasts from 2018 to 2023

  • ID: 4518620
  • Report
  • 92 pages
  • Knowledge Sourcing Intelligence LLP
UP TO OFF
until Dec 31st 2019
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FEATURED COMPANIES

  • ABB
  • Caterpillar
  • Cisco Systems, Inc.
  • Hexagon
  • IntelliSense.io
  • Rockwell Automation, Inc.
  • MORE
The global connected mining market was valued at US4.421 billion in 2017 and is projected to expand at a CAGR of 14.60% over the forecast period to reach US$10.015 billion by 2023. Connected mining makes use of technology in achieving better safety and productivity and hence contributes to the reduction of operational costs of mining as well. This is further accomplished by the introduction of innovative solutions which are one of the major drivers driving the global connected mining market. One of the innovations include the use of remote-controlled robots also known as tele-robotic mining reducing the risk for the miners. The rise in demand for the minerals and metals will further add to the growth of the global connected mining market. Moreover, connected mining can accelerate the ROI by reducing the production costs contributing towards the market growth. However, the lack of skilled labor is hampering the global connected mining market. The growing smart city projects, especially in emerging nations like China, India and Brazil among others are expected to augment the market growth in the forecast period.

This research study examines the current market trends related to the demand, supply, and sales, in addition to the recent developments. Major drivers, restraints, and opportunities have been covered to provide an exhaustive picture of the market. The analysis presents in-depth information regarding the development, trends, and industry policies and regulations implemented in each of the geographical region. Further, the overall regulatory framework of the market has been exhaustively covered to offer stakeholders a better understanding of the key factors affecting the overall market environment.

Identification of key industry players in the industry and their revenue contribution to the overall business or relevant segment aligned to the study have been covered as a part of competitive intelligence done through extensive secondary research. Various studies and data published by industry associations, analyst reports, investor presentations, press releases and journals among others have been taken into consideration while conducting the secondary research. Both bottom-up and top down approaches have been utilized to determine the market size of the overall market and key segments. The values obtained are correlated with the primary inputs of the key stakeholders in the connected mining value chain. Last step involves complete market engineering which includes analyzing the data from different sources and existing proprietary datasets while using various data triangulation methods for market breakdown and forecasting.

Market intelligence is presented in the form of analysis, charts, and graphics to help the clients in gaining faster and efficient understanding of the global connected mining market.

Major industry players profiled as part of the report are Caterpillar, ABB, Rockwell Automation, Inc., IntelliSense.io and Hexagon among others.

Segmentation:

The global connected mining market has been analyzed through following segments:

By Solution
  • Connected Logistics
  • Connected Resources
  • Connected Security System
  • Connected Control System
  • Connected Remote Management Solution
By Service
  • Consulting
  • Support and Maintenance
  • System Integration
By Geography
  • Americas
  • United States
  • Canada
  • Brazil
  • Others
  • Europe Middle East and Africa
  • United Kingdom
  • Germany
  • France
  • Netherlands
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • Australia
  • Others
Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • ABB
  • Caterpillar
  • Cisco Systems, Inc.
  • Hexagon
  • IntelliSense.io
  • Rockwell Automation, Inc.
  • MORE
1. Introduction
1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Currency
1.5. Assumptions
1.6. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY
2.1. Research Design
2.2. Secondary Sources

3. EXECUTIVE SUMMARY

4. MARKET DYNAMICS
4.1. Market Segmentation
4.2. Market Drivers
4.3. Market Restraints
4.4. Market Opportunities
4.5. Porter’s Five Force Analysis
4.5.1. Bargaining Power of Suppliers
4.5.2. Bargaining Power of Buyers
4.5.3. Threat of New Entrants
4.5.4. Threat of Substitutes
4.5.5. Competitive Rivalry in the Industry
4.6. Life Cycle Analysis - Regional Snapshot
4.7. Market Attractiveness

5. GLOBAL CONNECTED MINING MARKET BY SOLUTION
5.1. Connected Logistics
5.2. Connected Resources
5.3. Connected Security System
5.4. Connected Control System
5.5. Connected Remote Management Solution

6. GLOBAL CONNECTED MINING MARKET BY SERVICE
6.1. Consulting
6.2. Support and Maintenance
6.3. System Integration

7. GLOBAL CONNECTED MINING MARKET BY GEOGRAPHY
7.1. Americas
7.1.1. United States
7.1.2. Canada
7.1.3. Brazil
7.1.4. Others
7.2. Europe Middle East and Africa
7.2.1. United Kingdom
7.2.2. Germany
7.2.3. France
7.2.4. Netherlands
7.2.5. Others
7.3. Asia Pacific
7.3.1. China
7.3.2. Japan
7.3.3. India
7.3.4. Australia
7.3.5. Others

8. COMPETITIVE INTELLIGENCE
8.1. Market Share Analysis
8.2. Recent Deals and Investment
8.3. Strategies of Key Players

9. COMPANY PROFILES
9.1. ABB
9.1.1. Company Overview
9.1.2. Financials
9.1.3. Products and Services
9.1.4. Recent Developments
9.2. Rockwell Automation, Inc.
9.2.1. Company Overview
9.2.2. Financials
9.2.3. Products and Services
9.2.4. Recent Developments
9.3. Cisco Systems, Inc.
9.3.1. Company Overview
9.3.2. Financials
9.3.3. Products and Services
9.3.4. Recent Developments
9.4. SAP America, Inc.
9.4.1. Company Overview
9.4.2. Financials
9.4.3. Products and Services
9.4.4. Recent Developments
9.5. Trimble Inc.
9.5.1. Company Overview
9.5.2. Financials
9.5.3. Products and Services
9.5.4. Recent Developments
9.6. Hexagon
9.6.1. Company Overview
9.6.2. Financials
9.6.3. Products and Services
9.6.4. Recent Developments
9.7. Caterpillar
9.7.1. Company Overview
9.7.2. Financials
9.7.3. Products and Services
9.7.4. Recent Developments
9.8. IntelliSense.io
9.8.1. Company Overview
9.8.2. Financials
9.8.3. Products and Services
9.8.4. Recent Developments

List Of Figures

List Of Tables
Note: Product cover images may vary from those shown
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  • ABB
  • Rockwell Automation, Inc.
  • Cisco Systems, Inc.
  • SAP America, Inc.
  • Trimble Inc.
  • Hexagon
  • Caterpillar
  • IntelliSense.io
Note: Product cover images may vary from those shown
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The research study is based on the publisher's proprietary research model. The process involves sourcing of information from various industry experts, key professionals, decision-makers and various other stakeholders along with the validation of the responses received from the vast in-house database and premium paid databases. Publicly available sources were also taken into consideration for the final market estimates and forecast for the segments and sub-segments.

The first phase of the research process is the identification of key industry leaders, experts, decision-makers and C-level executives and then conducting interviews and surveys to gain vital insights about the market. Simultaneously, extensive secondary research is done, and key secondary data is collected as part of this process. This secondary data is collected from various databases, industry journals, whitepapers, company annual reports, research publications, and other paid data sources and relevant literature. Company profiles which include strategies, new product developments, recent investments, major products and services, financials and business plans are sourced from the annual reports, SEC filings, industry associations to preserve the quality of the information being displayed. The findings from both the primary and the secondary research process combined go under further processing for market breakdown and forecasting.

The last phase is providing intelligence in the form of presentation, charts, graphics and other different formats helping the clients in a faster and efficient understanding of the market. Under this phase complete market engineering is involved which includes analyzing the collected data from different sources and existing proprietary datasets while using various data triangulation methods for market breakdown and forecasting. The publisher has developed their market forecasting methodology that, in addition to the main market values, also takes into account other macroeconomic factors (global or local) that might have some bearing on the market under study. Taking all the necessary data, a robust forecast is developed using an algorithm that involves both static (multivariate) as well as dynamic (time-series) regression analysis. Special care is taken to make sure their algorithm passes the necessary statistical tests, and the mean prediction for future years obtained is reliable with a very high confidence level. Following data validation, the analysts begin to write the report presenting insights with the help of charts, graphs, and tables.

 

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