The global Artificial Intelligence (AI) in Mining market was valued at US$ 702 Billion in 2022 and is projected to reach US$ 909 Billion by 2030, at a CAGR of 35.2% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The USA market for Global Artificial Intelligence (AI) in Mining market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.
The China market for Global Artificial Intelligence (AI) in Mining market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.
The Europe market for Global Artificial Intelligence (AI) in Mining market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.
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. This report contains market size and forecasts of Artificial Intelligence (AI) in Mining in global, including the following market information:
- Global Artificial Intelligence (AI) in Mining Market Revenue, 2018-2023, 2024-2032, ($ millions)
- Global top five companies in 2022 (%)
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Hardware Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers 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 global top five players have a share approximately % in terms of revenue.
MARKET MONITOR GLOBAL, INC (MMG) has surveyed the Artificial Intelligence (AI) in Mining companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Artificial Intelligence (AI) in Mining Market, by Type, 2018-2023, 2024-2032 ($ millions)
Global Artificial Intelligence (AI) in Mining Market Segment Percentages, by Type, 2022 (%)
- Hardware
- Software
- Service
Global Artificial Intelligence (AI) in Mining Market, by Application, 2018-2023, 2024-2032 ($ millions)
Global Artificial Intelligence (AI) in Mining Market Segment Percentages, by Application, 2022 (%)
- Large Enterprises
- Small & Medium Enterprises
Global Artificial Intelligence (AI) in Mining Market, By Region and Country, 2018-2023, 2024-2032 ($ Millions)
Global Artificial Intelligence (AI) in Mining Market Segment Percentages, By Region and Country, 2022 (%)
- North America (United States, Canada, Mexico)
- Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe)
- Asia-Pacific (China, India, Japan, South Korea, Australia, Rest of APAC)
- The Middle East and Africa (Middle East, Africa)
- South and Central America (Brazil, Argentina, Rest of SCA)
Competitor Analysis
The report also provides analysis of leading market participants including:
- Key companies Artificial Intelligence (AI) in Mining revenues in global market, 2018-2023 (estimated), ($ millions)
- Key companies Artificial Intelligence (AI) in Mining revenues share in global market, 2022 (%)
key players include:
- Rio Tinto
- Infosys
- Accenture
- Goldspot Discoveries Inc.
- Drone Deploy
- Kore Geosystems
- TOMRA
- Earth AI
- Minerva Intelligence
Outline of Major Chapters:
Chapter 1: Introduces the definition of Artificial Intelligence (AI) in Mining, market overview.
Chapter 2: Global Artificial Intelligence (AI) in Mining market size in revenue.
Chapter 3: Detailed analysis of Artificial Intelligence (AI) in Mining company competitive landscape, revenue and 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: Sales of Artificial Intelligence (AI) in Mining in regional level and country level. 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 of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
