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Artificial Intelligence (AI) in Mining-Global Market Insights and Sales Trends 2025
Synopsis
The global Artificial Intelligence (AI) in Mining market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Artificial Intelligence (AI) in Mining in various end use industries. The expanding demands from the Large Enterprises and Small & Medium Enterprises, are propelling Artificial Intelligence (AI) in Mining market. Hardware, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Software segment is estimated at % CAGR for the next seven-year period.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.63%, including software, hardware and services.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Artificial Intelligence (AI) in Mining, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Artificial Intelligence (AI) in Mining market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Artificial Intelligence (AI) in Mining market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Artificial Intelligence (AI) in Mining sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Artificial Intelligence (AI) in Mining covered in this report include Rio Tinto, Infosys, Accenture, Goldspot Discoveries Inc., Drone Deploy, Kore Geosystems, TOMRA, Earth AI and Minerva Intelligence, etc.
The global Artificial Intelligence (AI) in Mining market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Rio Tinto
Infosys
Accenture
Goldspot Discoveries Inc.
Drone Deploy
Kore Geosystems
TOMRA
Earth AI
Minerva Intelligence
Global Artificial Intelligence (AI) in Mining market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Artificial Intelligence (AI) in Mining market, Segment by Type:
Hardware
Software
Service
Global Artificial Intelligence (AI) in Mining market, by Application
Large Enterprises
Small & Medium Enterprises
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Artificial Intelligence (AI) in Mining companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
The global Artificial Intelligence (AI) in Mining market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Artificial Intelligence (AI) in Mining in various end use industries. The expanding demands from the Large Enterprises and Small & Medium Enterprises, are propelling Artificial Intelligence (AI) in Mining market. Hardware, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Software segment is estimated at % CAGR for the next seven-year period.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.63%, including software, hardware and services.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Artificial Intelligence (AI) in Mining, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Artificial Intelligence (AI) in Mining market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Artificial Intelligence (AI) in Mining market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Artificial Intelligence (AI) in Mining sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Artificial Intelligence (AI) in Mining covered in this report include Rio Tinto, Infosys, Accenture, Goldspot Discoveries Inc., Drone Deploy, Kore Geosystems, TOMRA, Earth AI and Minerva Intelligence, etc.
The global Artificial Intelligence (AI) in Mining market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Rio Tinto
Infosys
Accenture
Goldspot Discoveries Inc.
Drone Deploy
Kore Geosystems
TOMRA
Earth AI
Minerva Intelligence
Global Artificial Intelligence (AI) in Mining market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Artificial Intelligence (AI) in Mining market, Segment by Type:
Hardware
Software
Service
Global Artificial Intelligence (AI) in Mining market, by Application
Large Enterprises
Small & Medium Enterprises
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Artificial Intelligence (AI) in Mining companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index1 Market Overview of Artificial Intelligence (AI) in Mining
1.1 Artificial Intelligence (AI) in Mining Market Overview
1.1.1 Artificial Intelligence (AI) in Mining Product Scope
1.1.2 Artificial Intelligence (AI) in Mining Market Status and Outlook
1.2 Global Artificial Intelligence (AI) in Mining Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Artificial Intelligence (AI) in Mining Market Size by Region (2018-2029)
1.4 Global Artificial Intelligence (AI) in Mining Historic Market Size by Region (2018-2023)
1.5 Global Artificial Intelligence (AI) in Mining Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Artificial Intelligence (AI) in Mining Market Size (2018-2029)
1.6.1 North America Artificial Intelligence (AI) in Mining Market Size (2018-2029)
1.6.2 Europe Artificial Intelligence (AI) in Mining Market Size (2018-2029)
1.6.3 Asia-Pacific Artificial Intelligence (AI) in Mining Market Size (2018-2029)
1.6.4 Latin America Artificial Intelligence (AI) in Mining Market Size (2018-2029)
1.6.5 Middle East & Africa Artificial Intelligence (AI) in Mining Market Size (2018-2029)
2 Artificial Intelligence (AI) in Mining Market by Type
2.1 Introduction
2.1.1 Hardware
2.1.2 Software
2.1.3 Service
2.2 Global Artificial Intelligence (AI) in Mining Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Artificial Intelligence (AI) in Mining Historic Market Size by Type (2018-2023)
2.2.2 Global Artificial Intelligence (AI) in Mining Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Artificial Intelligence (AI) in Mining Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Artificial Intelligence (AI) in Mining Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Artificial Intelligence (AI) in Mining Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Artificial Intelligence (AI) in Mining Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Artificial Intelligence (AI) in Mining Revenue Breakdown by Type (2018-2029)
3 Artificial Intelligence (AI) in Mining Market Overview by Application
3.1 Introduction
3.1.1 Large Enterprises
3.1.2 Small & Medium Enterprises
3.2 Global Artificial Intelligence (AI) in Mining Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Artificial Intelligence (AI) in Mining Historic Market Size by Application (2018-2023)
3.2.2 Global Artificial Intelligence (AI) in Mining Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Artificial Intelligence (AI) in Mining Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Artificial Intelligence (AI) in Mining Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Artificial Intelligence (AI) in Mining Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Artificial Intelligence (AI) in Mining Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Artificial Intelligence (AI) in Mining Revenue Breakdown by Application (2018-2029)
4 Artificial Intelligence (AI) in Mining Competition Analysis by Players
4.1 Global Artificial Intelligence (AI) in Mining Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Artificial Intelligence (AI) in Mining as of 2022)
4.3 Date of Key Players Enter into Artificial Intelligence (AI) in Mining Market
4.4 Global Top Players Artificial Intelligence (AI) in Mining Headquarters and Area Served
4.5 Key Players Artificial Intelligence (AI) in Mining Product Solution and Service
4.6 Competitive Status
4.6.1 Artificial Intelligence (AI) in Mining Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Rio Tinto
5.1.1 Rio Tinto Profile
5.1.2 Rio Tinto Main Business
5.1.3 Rio Tinto Artificial Intelligence (AI) in Mining Products, Services and Solutions
5.1.4 Rio Tinto Artificial Intelligence (AI) in Mining Revenue (US$ Million) & (2018-2023)
5.1.5 Rio Tinto Recent Developments
5.2 Infosys
5.2.1 Infosys Profile
5.2.2 Infosys Main Business
5.2.3 Infosys Artificial Intelligence (AI) in Mining Products, Services and Solutions
5.2.4 Infosys Artificial Intelligence (AI) in Mining Revenue (US$ Million) & (2018-2023)
5.2.5 Infosys Recent Developments
5.3 Accenture
5.3.1 Accenture Profile
5.3.2 Accenture Main Business
5.3.3 Accenture Artificial Intelligence (AI) in Mining Products, Services and Solutions
5.3.4 Accenture Artificial Intelligence (AI) in Mining Revenue (US$ Million) & (2018-2023)
5.3.5 Goldspot Discoveries Inc. Recent Developments
5.4 Goldspot Discoveries Inc.
5.4.1 Goldspot Discoveries Inc. Profile
5.4.2 Goldspot Discoveries Inc. Main Business
5.4.3 Goldspot Discoveries Inc. Artificial Intelligence (AI) in Mining Products, Services and Solutions
5.4.4 Goldspot Discoveries Inc. Artificial Intelligence (AI) in Mining Revenue (US$ Million) & (2018-2023)
5.4.5 Goldspot Discoveries Inc. Recent Developments
5.5 Drone Deploy
5.5.1 Drone Deploy Profile
5.5.2 Drone Deploy Main Business
5.5.3 Drone Deploy Artificial Intelligence (AI) in Mining Products, Services and Solutions
5.5.4 Drone Deploy Artificial Intelligence (AI) in Mining Revenue (US$ Million) & (2018-2023)
5.5.5 Drone Deploy Recent Developments
5.6 Kore Geosystems
5.6.1 Kore Geosystems Profile
5.6.2 Kore Geosystems Main Business
5.6.3 Kore Geosystems Artificial Intelligence (AI) in Mining Products, Services and Solutions
5.6.4 Kore Geosystems Artificial Intelligence (AI) in Mining Revenue (US$ Million) & (2018-2023)
5.6.5 Kore Geosystems Recent Developments
5.7 TOMRA
5.7.1 TOMRA Profile
5.7.2 TOMRA Main Business
5.7.3 TOMRA Artificial Intelligence (AI) in Mining Products, Services and Solutions
5.7.4 TOMRA Artificial Intelligence (AI) in Mining Revenue (US$ Million) & (2018-2023)
5.7.5 TOMRA Recent Developments
5.8 Earth AI
5.8.1 Earth AI Profile
5.8.2 Earth AI Main Business
5.8.3 Earth AI Artificial Intelligence (AI) in Mining Products, Services and Solutions
5.8.4 Earth AI Artificial Intelligence (AI) in Mining Revenue (US$ Million) & (2018-2023)
5.8.5 Earth AI Recent Developments
5.9 Minerva Intelligence
5.9.1 Minerva Intelligence Profile
5.9.2 Minerva Intelligence Main Business
5.9.3 Minerva Intelligence Artificial Intelligence (AI) in Mining Products, Services and Solutions
5.9.4 Minerva Intelligence Artificial Intelligence (AI) in Mining Revenue (US$ Million) & (2018-2023)
5.9.5 Minerva Intelligence Recent Developments
6 North America
6.1 North America Artificial Intelligence (AI) in Mining Market Size by Country (2018-2029)
6.2 United States
6.3 Canada
7 Europe
7.1 Europe Artificial Intelligence (AI) in Mining Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence (AI) in Mining Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Artificial Intelligence (AI) in Mining Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence (AI) in Mining Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Artificial Intelligence (AI) in Mining Market Dynamics
11.1 Artificial Intelligence (AI) in Mining Industry Trends
11.2 Artificial Intelligence (AI) in Mining Market Drivers
11.3 Artificial Intelligence (AI) in Mining Market Challenges
11.4 Artificial Intelligence (AI) in Mining Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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