This resource collects teaching materials that are originally created for the in-person course 'GEOSC/GEOG 497 – Data Mining in Environmental Sciences' at Penn State University (co-taught by Tao Wen, Susan Brantley, and Alan Taylor) and then refined/revised by Tao Wen to be used in the online teaching module 'Data Science in Earth and Environmental Sciences' hosted on the NSF-sponsored HydroLearn platform.

This resource includes both R Notebooks and Python Jupyter Notebooks to teach the basics of R and Python coding, data analysis and data visualization, as well as building machine learning models in both programming languages by using authentic research data and questions. All of these R/Python scripts can be executed either on the CUAHSI JupyterHub or on your local machine.

This resource is shared under the CC-BY license. Please contact the creator Tao Wen at Syracuse University (twen08@syr.edu) for any questions you have about this resource. If you identify any errors in the files, please contact the creator.

Permutable AI’s Metals Intelligence platform provides real-time insights into both precious and industrial metals, including gold (XAU), silver (XAG), copper, and platinum. The system tracks supply-demand fundamentals, mine production, trade flows, and regional price effects, while detecting new story breakouts, volume build-up, direction shifts, and persistent narratives in global metals markets. Historical datasets and advanced story signal analysis enable traders and researchers to anticipate price volatility driven by monetary policy, industrial demand, and geopolitical disruptions, with millisecond-latency access via the Co-Pilot API.

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Marine Mining Market Size 2024-2028

The marine mining market size is forecast to increase by USD 8.25 billion at a CAGR of 33.98% between 2023 and 2028.

The market is experiencing significant growth due to the depletion of terrestrial deposits and the increasing demand for resources used in the production of green technologies, such as underwater mining for marine phosphate and sand. The advantages of marine mining include access to vast deposits and reduced environmental impact compared to terrestrial mining. However, there are also disadvantages, including the high cost of underwater mining operations and the potential for negative environmental impacts. One trend driving the market is the growing focus on energy transition and renewable technologies, which require an increasing amount of raw materials. For instance, the production of smartphones, wind turbines, solar panels, and electric storage batteries relies heavily on minerals obtained from the seabed. Advancements in marine mining technologies, such as autonomous underwater vehicles and remote-operated mining systems, are helping to mitigate the environmental impact of these operations. 

What will the size of the market be during the forecast period?

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The market encompasses the extraction of various minerals and metals from the sea and ocean floors. This practice has gained significant attention due to the depletion of terrestrial mineral deposits and the increasing demand for resources essential to modern industries. Mineral deposits in the marine environment include metals such as gold, silver, copper, manganese, and elements critical for green technologies like deep-sea phosphate, essential for fertilizers, and rare earth elements used in smartphones, wind turbines, solar panels, and electric storage batteries. The sea and ocean floors harbor vast reserves of these resources.



For instance, the marine crust is estimated to contain over 16 billion tons of copper, 130 million tons of gold, and 1.5 billion tons of manganese. These reserves could potentially meet the world's demand for these resources for decades to come. Underwater mining techniques have evolved to cater to the extraction of these minerals from the deep-sea environment. Marine phosphate mining involves the extraction of phosphate nodules from the seabed, while marine sand mining targets sand and gravel deposits. Deep-sea mining, a relatively new concept, focuses on extracting minerals from the ocean floor at depths of over 200 meters.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Precious metals
  Automotive
  Oil and gas
  Electronics
  Construction


Technology

  Remotely operated vehicles (ROVs)
  Sonar
  Marine seismic methods


Geography

  North America

    US


  Europe

    Germany
    France
    Norway


  APAC

    China


  South America



  Middle East and Africa

By Application Insights

The precious metals segment is estimated to witness significant growth during the forecast period.

The expansion of economies worldwide has led to an escalating demand for precious metals, which are indispensable in numerous industries, including jewelry, electronics, automotive, and aerospace. As economies prosper, so does the requirement for commodities like gold, silver, and platinum, fueling curiosity about marine mining as a potential alternative source for these metals. Traditional terrestrial mines are experiencing depletion and dwindling ore grades, making it increasingly difficult and costly to extract precious metals from land. Consequently, the exploration and extraction of precious metals from marine environments represent a promising new avenue for fulfilling the global demand for these valuable elements.

Furthermore, the pricing of precious metals, including gold, silver, platinum, and palladium, is subject to market influences, including supply-demand fundamentals, investor sentiment, inflationary pressures, and geopolitical factors. The marine mining industry, specifically deep-sea mining, is gaining traction as a potential solution to address the supply constraints in terrestrial mines. This sector focuses on extracting precious metals and elements from the marine crust and deep-sea reserves. Deep-sea diamond mining is a subset of this industry, which has garnered significant attention due to the potential abundance of these precious gems on the ocean floor. The aftermarket industry for automobiles, which includes the sale of replacement parts and services, is another significant consumer of precious metals.

Get a glance at the market report of share of various segments Reque

This resource collects teaching materials that are originally created for the in-person course 'GEOSC/GEOG 497 – Data Mining in Environmental Sciences' at Penn State University (co-taught by Tao Wen, Susan Brantley, and Alan Taylor) and then refined/revised by Tao Wen to be used in the online teaching module 'Data Science in Earth and Environmental Sciences' hosted on the NSF-sponsored HydroLearn platform.

This resource includes both R Notebooks and Python Jupyter Notebooks to teach the basics of R and Python coding, data analysis and data visualization, as well as building machine learning models in both programming languages by using authentic research data and questions. All of these R/Python scripts can be executed either on the CUAHSI JupyterHub or on your local machine.

This resource is shared under the CC-BY license. Please contact the creator Tao Wen at Syracuse University (twen08@syr.edu) for any questions you have about this resource. If you identify any errors in the files, please contact the creator.