
Highlights
The global Artificial Intelligence (AI) in Mining market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Artificial Intelligence (AI) in Mining is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Artificial Intelligence (AI) in Mining is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Artificial Intelligence (AI) in Mining in Large Enterprises is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Artificial Intelligence (AI) in Mining include Rio Tinto, Infosys, Accenture, Goldspot Discoveries Inc., Drone Deploy, Kore Geosystems, TOMRA, Earth AI and Minerva Intelligence, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) in Mining, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence (AI) in Mining.
The Artificial Intelligence (AI) in Mining market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Artificial Intelligence (AI) in Mining market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence (AI) in Mining companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Rio Tinto
Infosys
Accenture
Goldspot Discoveries Inc.
Drone Deploy
Kore Geosystems
TOMRA
Earth AI
Minerva Intelligence
Segment by Type
Hardware
Software
Service
Segment by Application
Large Enterprises
Small & Medium Enterprises
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. 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 2: Introduces executive summary of global market size, regional market size, 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 3: Detailed analysis of Artificial Intelligence (AI) in Mining companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence (AI) in Mining Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Hardware
1.2.3 Software
1.2.4 Service
1.3 Market by Application
1.3.1 Global Artificial Intelligence (AI) in Mining Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Large Enterprises
1.3.3 Small & Medium Enterprises
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence (AI) in Mining Market Perspective (2018-2029)
2.2 Artificial Intelligence (AI) in Mining Growth Trends by Region
2.2.1 Global Artificial Intelligence (AI) in Mining Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Artificial Intelligence (AI) in Mining Historic Market Size by Region (2018-2023)
2.2.3 Artificial Intelligence (AI) in Mining Forecasted Market Size by Region (2024-2029)
2.3 Artificial Intelligence (AI) in Mining Market Dynamics
2.3.1 Artificial Intelligence (AI) in Mining Industry Trends
2.3.2 Artificial Intelligence (AI) in Mining Market Drivers
2.3.3 Artificial Intelligence (AI) in Mining Market Challenges
2.3.4 Artificial Intelligence (AI) in Mining Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence (AI) in Mining Players by Revenue
3.1.1 Global Top Artificial Intelligence (AI) in Mining Players by Revenue (2018-2023)
3.1.2 Global Artificial Intelligence (AI) in Mining Revenue Market Share by Players (2018-2023)
3.2 Global Artificial Intelligence (AI) in Mining Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence (AI) in Mining Revenue
3.4 Global Artificial Intelligence (AI) in Mining Market Concentration Ratio
3.4.1 Global Artificial Intelligence (AI) in Mining Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence (AI) in Mining Revenue in 2022
3.5 Artificial Intelligence (AI) in Mining Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence (AI) in Mining Product Solution and Service
3.7 Date of Enter into Artificial Intelligence (AI) in Mining Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence (AI) in Mining Breakdown Data by Type
4.1 Global Artificial Intelligence (AI) in Mining Historic Market Size by Type (2018-2023)
4.2 Global Artificial Intelligence (AI) in Mining Forecasted Market Size by Type (2024-2029)
5 Artificial Intelligence (AI) in Mining Breakdown Data by Application
5.1 Global Artificial Intelligence (AI) in Mining Historic Market Size by Application (2018-2023)
5.2 Global Artificial Intelligence (AI) in Mining Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Artificial Intelligence (AI) in Mining Market Size (2018-2029)
6.2 North America Artificial Intelligence (AI) in Mining Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Artificial Intelligence (AI) in Mining Market Size by Country (2018-2023)
6.4 North America Artificial Intelligence (AI) in Mining Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence (AI) in Mining Market Size (2018-2029)
7.2 Europe Artificial Intelligence (AI) in Mining Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Artificial Intelligence (AI) in Mining Market Size by Country (2018-2023)
7.4 Europe Artificial Intelligence (AI) in Mining Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence (AI) in Mining Market Size (2018-2029)
8.2 Asia-Pacific Artificial Intelligence (AI) in Mining Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Artificial Intelligence (AI) in Mining Market Size by Region (2018-2023)
8.4 Asia-Pacific Artificial Intelligence (AI) in Mining Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence (AI) in Mining Market Size (2018-2029)
9.2 Latin America Artificial Intelligence (AI) in Mining Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Artificial Intelligence (AI) in Mining Market Size by Country (2018-2023)
9.4 Latin America Artificial Intelligence (AI) in Mining Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence (AI) in Mining Market Size (2018-2029)
10.2 Middle East & Africa Artificial Intelligence (AI) in Mining Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Artificial Intelligence (AI) in Mining Market Size by Country (2018-2023)
10.4 Middle East & Africa Artificial Intelligence (AI) in Mining Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Rio Tinto
11.1.1 Rio Tinto Company Detail
11.1.2 Rio Tinto Business Overview
11.1.3 Rio Tinto Artificial Intelligence (AI) in Mining Introduction
11.1.4 Rio Tinto Revenue in Artificial Intelligence (AI) in Mining Business (2018-2023)
11.1.5 Rio Tinto Recent Development
11.2 Infosys
11.2.1 Infosys Company Detail
11.2.2 Infosys Business Overview
11.2.3 Infosys Artificial Intelligence (AI) in Mining Introduction
11.2.4 Infosys Revenue in Artificial Intelligence (AI) in Mining Business (2018-2023)
11.2.5 Infosys Recent Development
11.3 Accenture
11.3.1 Accenture Company Detail
11.3.2 Accenture Business Overview
11.3.3 Accenture Artificial Intelligence (AI) in Mining Introduction
11.3.4 Accenture Revenue in Artificial Intelligence (AI) in Mining Business (2018-2023)
11.3.5 Accenture Recent Development
11.4 Goldspot Discoveries Inc.
11.4.1 Goldspot Discoveries Inc. Company Detail
11.4.2 Goldspot Discoveries Inc. Business Overview
11.4.3 Goldspot Discoveries Inc. Artificial Intelligence (AI) in Mining Introduction
11.4.4 Goldspot Discoveries Inc. Revenue in Artificial Intelligence (AI) in Mining Business (2018-2023)
11.4.5 Goldspot Discoveries Inc. Recent Development
11.5 Drone Deploy
11.5.1 Drone Deploy Company Detail
11.5.2 Drone Deploy Business Overview
11.5.3 Drone Deploy Artificial Intelligence (AI) in Mining Introduction
11.5.4 Drone Deploy Revenue in Artificial Intelligence (AI) in Mining Business (2018-2023)
11.5.5 Drone Deploy Recent Development
11.6 Kore Geosystems
11.6.1 Kore Geosystems Company Detail
11.6.2 Kore Geosystems Business Overview
11.6.3 Kore Geosystems Artificial Intelligence (AI) in Mining Introduction
11.6.4 Kore Geosystems Revenue in Artificial Intelligence (AI) in Mining Business (2018-2023)
11.6.5 Kore Geosystems Recent Development
11.7 TOMRA
11.7.1 TOMRA Company Detail
11.7.2 TOMRA Business Overview
11.7.3 TOMRA Artificial Intelligence (AI) in Mining Introduction
11.7.4 TOMRA Revenue in Artificial Intelligence (AI) in Mining Business (2018-2023)
11.7.5 TOMRA Recent Development
11.8 Earth AI
11.8.1 Earth AI Company Detail
11.8.2 Earth AI Business Overview
11.8.3 Earth AI Artificial Intelligence (AI) in Mining Introduction
11.8.4 Earth AI Revenue in Artificial Intelligence (AI) in Mining Business (2018-2023)
11.8.5 Earth AI Recent Development
11.9 Minerva Intelligence
11.9.1 Minerva Intelligence Company Detail
11.9.2 Minerva Intelligence Business Overview
11.9.3 Minerva Intelligence Artificial Intelligence (AI) in Mining Introduction
11.9.4 Minerva Intelligence Revenue in Artificial Intelligence (AI) in Mining Business (2018-2023)
11.9.5 Minerva Intelligence Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Rio Tinto
Infosys
Accenture
Goldspot Discoveries Inc.
Drone Deploy
Kore Geosystems
TOMRA
Earth AI
Minerva Intelligence
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*If Applicable.
