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Global Automatic Intelligent Ore Sorting Machines Market 2025 by Manufacturers, Regions, Type and Application, Forecast to 2031

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1 Market Overview

  • 1.1 Product Overview and Scope
  • 1.2 Market Estimation Caveats and Base Year
  • 1.3 Market Analysis by Type
    • 1.3.1 Overview: Global Automatic Intelligent Ore Sorting Machines Consumption Value by Type: 2020 Versus 2024 Versus 2031
    • 1.3.2 X-ray Technology
    • 1.3.3 Image Color Sorting Technology
    • 1.3.4 Others
  • 1.4 Market Analysis by Application
    • 1.4.1 Overview: Global Automatic Intelligent Ore Sorting Machines Consumption Value by Application: 2020 Versus 2024 Versus 2031
    • 1.4.2 Coal Mines
    • 1.4.3 Metal Mines
    • 1.4.4 Non-metal Mines
  • 1.5 Global Automatic Intelligent Ore Sorting Machines Market Size & Forecast
    • 1.5.1 Global Automatic Intelligent Ore Sorting Machines Consumption Value (2020 & 2024 & 2031)
    • 1.5.2 Global Automatic Intelligent Ore Sorting Machines Sales Quantity (2020-2031)
    • 1.5.3 Global Automatic Intelligent Ore Sorting Machines Average Price (2020-2031)

2 Manufacturers Profiles

  • 2.1 TOMRA Sorting Solutions
    • 2.1.1 TOMRA Sorting Solutions Details
    • 2.1.2 TOMRA Sorting Solutions Major Business
    • 2.1.3 TOMRA Sorting Solutions Automatic Intelligent Ore Sorting Machines Product and Services
    • 2.1.4 TOMRA Sorting Solutions Automatic Intelligent Ore Sorting Machines Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2020-2025)
    • 2.1.5 TOMRA Sorting Solutions Recent Developments/Updates
  • 2.2 Tianjin Meiteng Technology
    • 2.2.1 Tianjin Meiteng Technology Details
    • 2.2.2 Tianjin Meiteng Technology Major Business
    • 2.2.3 Tianjin Meiteng Technology Automatic Intelligent Ore Sorting Machines Product and Services
    • 2.2.4 Tianjin Meiteng Technology Automatic Intelligent Ore Sorting Machines Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2020-2025)
    • 2.2.5 Tianjin Meiteng Technology Recent Developments/Updates
  • 2.3 HPY SORTING
    • 2.3.1 HPY SORTING Details
    • 2.3.2 HPY SORTING Major Business
    • 2.3.3 HPY SORTING Automatic Intelligent Ore Sorting Machines Product and Services
    • 2.3.4 HPY SORTING Automatic Intelligent Ore Sorting Machines Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2020-2025)
    • 2.3.5 HPY SORTING Recent Developments/Updates
  • 2.4 Zhongke AMD
    • 2.4.1 Zhongke AMD Details
    • 2.4.2 Zhongke AMD Major Business
    • 2.4.3 Zhongke AMD Automatic Intelligent Ore Sorting Machines Product and Services
    • 2.4.4 Zhongke AMD Automatic Intelligent Ore Sorting Machines Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2020-2025)
    • 2.4.5 Zhongke AMD Recent Developments/Updates
  • 2.5 Metso
    • 2.5.1 Metso Details
    • 2.5.2 Metso Major Business
    • 2.5.3 Metso Automatic Intelligent Ore Sorting Machines Product and Services
    • 2.5.4 Metso Automatic Intelligent Ore Sorting Machines Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2020-2025)
    • 2.5.5 Metso Recent Developments/Updates
  • 2.6 XNDT Technology
    • 2.6.1 XNDT Technology Details
    • 2.6.2 XNDT Technology Major Business
    • 2.6.3 XNDT Technology Automatic Intelligent Ore Sorting Machines Product and Services
    • 2.6.4 XNDT Technology Automatic Intelligent Ore Sorting Machines Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2020-2025)
    • 2.6.5 XNDT Technology Recent Developments/Updates
  • 2.7 Steinert
    • 2.7.1 Steinert Details
    • 2.7.2 Steinert Major Business
    • 2.7.3 Steinert Automatic Intelligent Ore Sorting Machines Product and Services
    • 2.7.4 Steinert Automatic Intelligent Ore Sorting Machines Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2020-2025)
    • 2.7.5 Steinert Recent Developments/Updates
  • 2.8 Tangshan Shenzhou Manufacturing Group
    • 2.8.1 Tangshan Shenzhou Manufacturing Group Details
    • 2.8.2 Tangshan Shenzhou Manufacturing Group Major Business
    • 2.8.3 Tangshan Shenzhou Manufacturing Group Automatic Intelligent Ore Sorting Machines Product and Services
    • 2.8.4 Tangshan Shenzhou Manufacturing Group Automatic Intelligent Ore Sorting Machines Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2020-2025)
    • 2.8.5 Tangshan Shenzhou Manufacturing Group Recent Developments/Updates
  • 2.9 Comex
    • 2.9.1 Comex Details
    • 2.9.2 Comex Major Business
    • 2.9.3 Comex Automatic Intelligent Ore Sorting Machines Product and Services
    • 2.9.4 Comex Automatic Intelligent Ore Sorting Machines Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2020-2025)
    • 2.9.5 Comex Recent Developments/Updates
  • 2.10 MMD GPHC
    • 2.10.1 MMD GPHC Details
    • 2.10.2 MMD GPHC Major Business
    • 2.10.3 MMD GPHC Automatic Intelligent Ore Sorting Machines Product and Services
    • 2.10.4 MMD GPHC Automatic Intelligent Ore Sorting Machines Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2020-2025)
    • 2.10.5 MMD GPHC Recent Developments/Updates
  • 2.11 Redwave
    • 2.11.1 Redwave Details
    • 2.11.2 Redwave Major Business
    • 2.11.3 Redwave Automatic Intelligent Ore Sorting Machines Product and Services
    • 2.11.4 Redwave Automatic Intelligent Ore Sorting Machines Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2020-2025)
    • 2.11.5 Redwave Recent Developments/Updates
  • 2.12 Binder+Co
    • 2.12.1 Binder+Co Details
    • 2.12.2 Binder+Co Major Business
    • 2.12.3 Binder+Co Automatic Intelligent Ore Sorting Machines Product and Services
    • 2.12.4 Binder+Co Automatic Intelligent Ore Sorting Machines Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2020-2025)
    • 2.12.5 Binder+Co Recent Developments/Updates
  • 2.13 Mogensen
    • 2.13.1 Mogensen Details
    • 2.13.2 Mogensen Major Business
    • 2.13.3 Mogensen Automatic Intelligent Ore Sorting Machines Product and Services
    • 2.13.4 Mogensen Automatic Intelligent Ore Sorting Machines Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2020-2025)
    • 2.13.5 Mogensen Recent Developments/Updates
  • 2.14 TAIHO
    • 2.14.1 TAIHO Details
    • 2.14.2 TAIHO Major Business
    • 2.14.3 TAIHO Automatic Intelligent Ore Sorting Machines Product and Services
    • 2.14.4 TAIHO Automatic Intelligent Ore Sorting Machines Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2020-2025)
    • 2.14.5 TAIHO Recent Developments/Updates
  • 2.15 GDRT
    • 2.15.1 GDRT Details
    • 2.15.2 GDRT Major Business
    • 2.15.3 GDRT Automatic Intelligent Ore Sorting Machines Product and Services
    • 2.15.4 GDRT Automatic Intelligent Ore Sorting Machines Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2020-2025)
    • 2.15.5 GDRT Recent Developments/Updates
  • 2.16 Hefei Angelon Electronics
    • 2.16.1 Hefei Angelon Electronics Details
    • 2.16.2 Hefei Angelon Electronics Major Business
    • 2.16.3 Hefei Angelon Electronics Automatic Intelligent Ore Sorting Machines Product and Services
    • 2.16.4 Hefei Angelon Electronics Automatic Intelligent Ore Sorting Machines Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2020-2025)
    • 2.16.5 Hefei Angelon Electronics Recent Developments/Updates

3 Competitive Environment: Automatic Intelligent Ore Sorting Machines by Manufacturer

  • 3.1 Global Automatic Intelligent Ore Sorting Machines Sales Quantity by Manufacturer (2020-2025)
  • 3.2 Global Automatic Intelligent Ore Sorting Machines Revenue by Manufacturer (2020-2025)
  • 3.3 Global Automatic Intelligent Ore Sorting Machines Average Price by Manufacturer (2020-2025)
  • 3.4 Market Share Analysis (2024)
    • 3.4.1 Producer Shipments of Automatic Intelligent Ore Sorting Machines by Manufacturer Revenue ($MM) and Market Share (%): 2024
    • 3.4.2 Top 3 Automatic Intelligent Ore Sorting Machines Manufacturer Market Share in 2024
    • 3.4.3 Top 6 Automatic Intelligent Ore Sorting Machines Manufacturer Market Share in 2024
  • 3.5 Automatic Intelligent Ore Sorting Machines Market: Overall Company Footprint Analysis
    • 3.5.1 Automatic Intelligent Ore Sorting Machines Market: Region Footprint
    • 3.5.2 Automatic Intelligent Ore Sorting Machines Market: Company Product Type Footprint
    • 3.5.3 Automatic Intelligent Ore Sorting Machines Market: Company Product Application Footprint
  • 3.6 New Market Entrants and Barriers to Market Entry
  • 3.7 Mergers, Acquisition, Agreements, and Collaborations

4 Consumption Analysis by Region

  • 4.1 Global Automatic Intelligent Ore Sorting Machines Market Size by Region
    • 4.1.1 Global Automatic Intelligent Ore Sorting Machines Sales Quantity by Region (2020-2031)
    • 4.1.2 Global Automatic Intelligent Ore Sorting Machines Consumption Value by Region (2020-2031)
    • 4.1.3 Global Automatic Intelligent Ore Sorting Machines Average Price by Region (2020-2031)
  • 4.2 North America Automatic Intelligent Ore Sorting Machines Consumption Value (2020-2031)
  • 4.3 Europe Automatic Intelligent Ore Sorting Machines Consumption Value (2020-2031)
  • 4.4 Asia-Pacific Automatic Intelligent Ore Sorting Machines Consumption Value (2020-2031)
  • 4.5 South America Automatic Intelligent Ore Sorting Machines Consumption Value (2020-2031)
  • 4.6 Middle East & Africa Automatic Intelligent Ore Sorting Machines Consumption Value (2020-2031)

5 Market Segment by Type

  • 5.1 Global Automatic Intelligent Ore Sorting Machines Sales Quantity by Type (2020-2031)
  • 5.2 Global Automatic Intelligent Ore Sorting Machines Consumption Value by Type (2020-2031)
  • 5.3 Global Automatic Intelligent Ore Sorting Machines Average Price by Type (2020-2031)

6 Market Segment by Application

  • 6.1 Global Automatic Intelligent Ore Sorting Machines Sales Quantity by Application (2020-2031)
  • 6.2 Global Automatic Intelligent Ore Sorting Machines Consumption Value by Application (2020-2031)
  • 6.3 Global Automatic Intelligent Ore Sorting Machines Average Price by Application (2020-2031)

7 North America

  • 7.1 North America Automatic Intelligent Ore Sorting Machines Sales Quantity by Type (2020-2031)
  • 7.2 North America Automatic Intelligent Ore Sorting Machines Sales Quantity by Application (2020-2031)
  • 7.3 North America Automatic Intelligent Ore Sorting Machines Market Size by Country
    • 7.3.1 North America Automatic Intelligent Ore Sorting Machines Sales Quantity by Country (2020-2031)
    • 7.3.2 North America Automatic Intelligent Ore Sorting Machines Consumption Value by Country (2020-2031)
    • 7.3.3 United States Market Size and Forecast (2020-2031)
    • 7.3.4 Canada Market Size and Forecast (2020-2031)
    • 7.3.5 Mexico Market Size and Forecast (2020-2031)

8 Europe

  • 8.1 Europe Automatic Intelligent Ore Sorting Machines Sales Quantity by Type (2020-2031)
  • 8.2 Europe Automatic Intelligent Ore Sorting Machines Sales Quantity by Application (2020-2031)
  • 8.3 Europe Automatic Intelligent Ore Sorting Machines Market Size by Country
    • 8.3.1 Europe Automatic Intelligent Ore Sorting Machines Sales Quantity by Country (2020-2031)
    • 8.3.2 Europe Automatic Intelligent Ore Sorting Machines Consumption Value by Country (2020-2031)
    • 8.3.3 Germany Market Size and Forecast (2020-2031)
    • 8.3.4 France Market Size and Forecast (2020-2031)
    • 8.3.5 United Kingdom Market Size and Forecast (2020-2031)
    • 8.3.6 Russia Market Size and Forecast (2020-2031)
    • 8.3.7 Italy Market Size and Forecast (2020-2031)

9 Asia-Pacific

  • 9.1 Asia-Pacific Automatic Intelligent Ore Sorting Machines Sales Quantity by Type (2020-2031)
  • 9.2 Asia-Pacific Automatic Intelligent Ore Sorting Machines Sales Quantity by Application (2020-2031)
  • 9.3 Asia-Pacific Automatic Intelligent Ore Sorting Machines Market Size by Region
    • 9.3.1 Asia-Pacific Automatic Intelligent Ore Sorting Machines Sales Quantity by Region (2020-2031)
    • 9.3.2 Asia-Pacific Automatic Intelligent Ore Sorting Machines Consumption Value by Region (2020-2031)
    • 9.3.3 China Market Size and Forecast (2020-2031)
    • 9.3.4 Japan Market Size and Forecast (2020-2031)
    • 9.3.5 South Korea Market Size and Forecast (2020-2031)
    • 9.3.6 India Market Size and Forecast (2020-2031)
    • 9.3.7 Southeast Asia Market Size and Forecast (2020-2031)
    • 9.3.8 Australia Market Size and Forecast (2020-2031)

10 South America

  • 10.1 South America Automatic Intelligent Ore Sorting Machines Sales Quantity by Type (2020-2031)
  • 10.2 South America Automatic Intelligent Ore Sorting Machines Sales Quantity by Application (2020-2031)
  • 10.3 South America Automatic Intelligent Ore Sorting Machines Market Size by Country
    • 10.3.1 South America Automatic Intelligent Ore Sorting Machines Sales Quantity by Country (2020-2031)
    • 10.3.2 South America Automatic Intelligent Ore Sorting Machines Consumption Value by Country (2020-2031)
    • 10.3.3 Brazil Market Size and Forecast (2020-2031)
    • 10.3.4 Argentina Market Size and Forecast (2020-2031)

11 Middle East & Africa

  • 11.1 Middle East & Africa Automatic Intelligent Ore Sorting Machines Sales Quantity by Type (2020-2031)
  • 11.2 Middle East & Africa Automatic Intelligent Ore Sorting Machines Sales Quantity by Application (2020-2031)
  • 11.3 Middle East & Africa Automatic Intelligent Ore Sorting Machines Market Size by Country
    • 11.3.1 Middle East & Africa Automatic Intelligent Ore Sorting Machines Sales Quantity by Country (2020-2031)
    • 11.3.2 Middle East & Africa Automatic Intelligent Ore Sorting Machines Consumption Value by Country (2020-2031)
    • 11.3.3 Turkey Market Size and Forecast (2020-2031)
    • 11.3.4 Egypt Market Size and Forecast (2020-2031)
    • 11.3.5 Saudi Arabia Market Size and Forecast (2020-2031)
    • 11.3.6 South Africa Market Size and Forecast (2020-2031)

12 Market Dynamics

  • 12.1 Automatic Intelligent Ore Sorting Machines Market Drivers
  • 12.2 Automatic Intelligent Ore Sorting Machines Market Restraints
  • 12.3 Automatic Intelligent Ore Sorting Machines Trends Analysis
  • 12.4 Porters Five Forces Analysis
    • 12.4.1 Threat of New Entrants
    • 12.4.2 Bargaining Power of Suppliers
    • 12.4.3 Bargaining Power of Buyers
    • 12.4.4 Threat of Substitutes
    • 12.4.5 Competitive Rivalry

13 Raw Material and Industry Chain

  • 13.1 Raw Material of Automatic Intelligent Ore Sorting Machines and Key Manufacturers
  • 13.2 Manufacturing Costs Percentage of Automatic Intelligent Ore Sorting Machines
  • 13.3 Automatic Intelligent Ore Sorting Machines Production Process
  • 13.4 Industry Value Chain Analysis

14 Shipments by Distribution Channel

  • 14.1 Sales Channel
    • 14.1.1 Direct to End-User
    • 14.1.2 Distributors
  • 14.2 Automatic Intelligent Ore Sorting Machines Typical Distributors
  • 14.3 Automatic Intelligent Ore Sorting Machines Typical Customers

15 Research Findings and Conclusion

    16 Appendix

    • 16.1 Methodology
    • 16.2 Research Process and Data Source

    According to our (Global Info Research) latest study, the global Automatic Intelligent Ore Sorting Machines market size was valued at US$ 452 million in 2024 and is forecast to a readjusted size of USD 779 million by 2031 with a CAGR of 8.2% during review period.
    In this report, we will assess the current U.S. tariff framework alongside international policy adaptations, analyzing their effects on competitive market structures, regional economic dynamics, and supply chain resilience.
    Automatic Intelligent Ore Sorting Machines are advanced systems used in the mining industry to separate valuable ore from waste material using a combination of automated processes, sensors, and artificial intelligence (AI). These machines are designed to improve the efficiency and accuracy of ore sorting, reducing the need for manual labor and enhancing overall productivity in mining operations.
    This report is a detailed and comprehensive analysis for global Automatic Intelligent Ore Sorting Machines market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
    Key Features:
    Global Automatic Intelligent Ore Sorting Machines market size and forecasts, in consumption value ($ Million), sales quantity (Units), and average selling prices (K US$/Unit), 2020-2031
    Global Automatic Intelligent Ore Sorting Machines market size and forecasts by region and country, in consumption value ($ Million), sales quantity (Units), and average selling prices (K US$/Unit), 2020-2031
    Global Automatic Intelligent Ore Sorting Machines market size and forecasts, by Type and by Application, in consumption value ($ Million), sales quantity (Units), and average selling prices (K US$/Unit), 2020-2031
    Global Automatic Intelligent Ore Sorting Machines market shares of main players, shipments in revenue ($ Million), sales quantity (Units), and ASP (K US$/Unit), 2020-2025
    The Primary Objectives in This Report Are:
    To determine the size of the total market opportunity of global and key countries
    To assess the growth potential for Automatic Intelligent Ore Sorting Machines
    To forecast future growth in each product and end-use market
    To assess competitive factors affecting the marketplace
    This report profiles key players in the global Automatic Intelligent Ore Sorting Machines market based on the following parameters - company overview, sales quantity, revenue, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include TOMRA Sorting Solutions, Tianjin Meiteng Technology, HPY SORTING, Zhongke AMD, Metso, XNDT Technology, Steinert, Tangshan Shenzhou Manufacturing Group, Comex, MMD GPHC, etc.
    This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
    Market Segmentation
    Automatic Intelligent Ore Sorting Machines market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
    Market segment by Type
    X-ray Technology
    Image Color Sorting Technology
    Others
    Market segment by Application
    Coal Mines
    Metal Mines
    Non-metal Mines
    Major players covered
    TOMRA Sorting Solutions
    Tianjin Meiteng Technology
    HPY SORTING
    Zhongke AMD
    Metso
    XNDT Technology
    Steinert
    Tangshan Shenzhou Manufacturing Group
    Comex
    MMD GPHC
    Redwave
    Binder+Co
    Mogensen
    TAIHO
    GDRT
    Hefei Angelon Electronics
    Market segment by region, regional analysis covers
    North America (United States, Canada, and Mexico)
    Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
    Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
    South America (Brazil, Argentina, Colombia, and Rest of South America)
    Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)
    The content of the study subjects, includes a total of 15 chapters:
    Chapter 1, to describe Automatic Intelligent Ore Sorting Machines product scope, market overview, market estimation caveats and base year.
    Chapter 2, to profile the top manufacturers of Automatic Intelligent Ore Sorting Machines, with price, sales quantity, revenue, and global market share of Automatic Intelligent Ore Sorting Machines from 2020 to 2025.
    Chapter 3, the Automatic Intelligent Ore Sorting Machines competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.
    Chapter 4, the Automatic Intelligent Ore Sorting Machines breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2020 to 2031.
    Chapter 5 and 6, to segment the sales by Type and by Application, with sales market share and growth rate by Type, by Application, from 2020 to 2031.
    Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2020 to 2025.and Automatic Intelligent Ore Sorting Machines market forecast, by regions, by Type, and by Application, with sales and revenue, from 2026 to 2031.
    Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis.
    Chapter 13, the key raw materials and key suppliers, and industry chain of Automatic Intelligent Ore Sorting Machines.
    Chapter 14 and 15, to describe Automatic Intelligent Ore Sorting Machines sales channel, distributors, customers, research findings and conclusion.

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