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Machine learning transforms the landscape of 2D materials design, particularly in accelerating discovery, optimization, and screening processes. This review has delved into the historical and ongoing integration of machine learning in 2D materials for electrochemical energy applications, using the Knowledge Discovery in Databases (KDD) approach to guide the research through data mining from the Scopus database using analysis of citations, keywords, and trends. The topics will first focus on a “macro” scope, where hundreds of literature reports are computer analyzed for key insights, such as year analysis, publication origin, and word co-occurrence using heat maps and network graphs. Afterward, the focus will be narrowed down into a more specific “micro” scope obtained from the “macro” overview, which is intended to dive deep into machine learning usage. From the gathered insights, this work highlights how machine learning, density functional theory (DFT), and traditional experimentation are jointly advancing the field of materials science. Overall, the resulting review offers a comprehensive analysis, touching on essential applications such as batteries, fuel cells, supercapacitors, and synthesis processes while showcasing machine learning techniques that enhance the identification of critical material properties.
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Mining and Energy Payrolls in the United States decreased to -0.90 Thousand in May from 1 Thousand in April of 2025. This dataset includes a chart with historical data for the United States Mining, Quarrying, and Oil and Gas Extraction Payrolls.
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Brazil Energy: Consumption: Industry: Mining: Natural Gas data was reported at 299.815 TOE th in 2023. This records an increase from the previous number of 271.584 TOE th for 2022. Brazil Energy: Consumption: Industry: Mining: Natural Gas data is updated yearly, averaging 108.197 TOE th from Dec 1970 (Median) to 2023, with 54 observations. The data reached an all-time high of 707.191 TOE th in 2014 and a record low of 0.000 TOE th in 1983. Brazil Energy: Consumption: Industry: Mining: Natural Gas data remains active status in CEIC and is reported by Ministry of Mining and Energy. The data is categorized under Global Database’s Brazil – Table BR.RBC014: Energy Consumption: by Sector: Industry: Mining.
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China Energy Consumption: Industry: Mining data was reported at 182.580 SCE Ton mn in 2022. This records a decrease from the previous number of 182.980 SCE Ton mn for 2021. China Energy Consumption: Industry: Mining data is updated yearly, averaging 124.295 SCE Ton mn from Dec 1985 (Median) to 2022, with 37 observations. The data reached an all-time high of 245.323 SCE Ton mn in 2012 and a record low of 57.520 SCE Ton mn in 1985. China Energy Consumption: Industry: Mining data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.RBB: Energy Consumption.
Historical coal data series updated annually in July alongside the publication of the Digest of United Kingdom Energy Statistics (DUKES).
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Brazil Energy: Consumption: Industry: Mining: Log data was reported at 0.000 TOE th in 2023. This stayed constant from the previous number of 0.000 TOE th for 2022. Brazil Energy: Consumption: Industry: Mining: Log data is updated yearly, averaging 0.000 TOE th from Dec 1970 (Median) to 2023, with 54 observations. The data reached an all-time high of 22.311 TOE th in 1985 and a record low of 0.000 TOE th in 2023. Brazil Energy: Consumption: Industry: Mining: Log data remains active status in CEIC and is reported by Ministry of Mining and Energy. The data is categorized under Global Database’s Brazil – Table BR.RBC014: Energy Consumption: by Sector: Industry: Mining.
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Steam and Water Analysis System Market valued at $2009.35 Mn in 2023, and is projected to $USD 3,168.30 Mn by 2032, at a CAGR of 5.19%.
From the site: "Coverages containing Anthracite coal seam data by quadrangle for the state of Pennsylvania. Digitized from the Harrisburg Bureau of Mining and Reclamation mylar map system each quadrangle contains multiple coverages identifying seams in that quad. Also includes coal mining refuse disposal sites, permitted sites, point coverages of deep mine entry and other surface features of deep mines and Small Operators Assistance Program (SOAP) areas."
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Germany - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy) was 118.80 points in April of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Germany - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy) - last updated from the EUROSTAT on June of 2025. Historically, Germany - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy) reached a record high of 118.80 points in April of 2025 and a record low of 79.70 points in January of 2000.
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Croatia - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy) was 115.70 points in May of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Croatia - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy) - last updated from the EUROSTAT on June of 2025. Historically, Croatia - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy) reached a record high of 115.70 points in May of 2025 and a record low of 86.20 points in January of 2006.
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European Union - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy) was 117.50 points in April of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for European Union - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy) - last updated from the EUROSTAT on June of 2025. Historically, European Union - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy) reached a record high of 117.70 points in February of 2025 and a record low of 78.30 points in January of 2000.
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Finland - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy), except food, beverages and tobacco was 115.60 points in April of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Finland - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy), except food, beverages and tobacco - last updated from the EUROSTAT on June of 2025. Historically, Finland - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy), except food, beverages and tobacco reached a record high of 124.10 points in June of 2022 and a record low of 80.30 points in July of 2009.
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Sweden - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy), except food, beverages and tobacco was 121.40 points in April of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Sweden - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy), except food, beverages and tobacco - last updated from the EUROSTAT on June of 2025. Historically, Sweden - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy), except food, beverages and tobacco reached a record high of 125.60 points in May of 2024 and a record low of 57.80 points in October of 1992.
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United States - Producer Price Index by Commodity: Inputs to Industries: Net Inputs to Mining and Oil and Gas Field Machinery Manufacturing Industry, Goods Less Foods and Energy was 136.23200 Index April 2014=100 in April of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Inputs to Industries: Net Inputs to Mining and Oil and Gas Field Machinery Manufacturing Industry, Goods Less Foods and Energy reached a record high of 144.01400 in May of 2022 and a record low of 93.20000 in February of 2016. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Inputs to Industries: Net Inputs to Mining and Oil and Gas Field Machinery Manufacturing Industry, Goods Less Foods and Energy - last updated from the United States Federal Reserve on June of 2025.
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China Energy Consumption: Industry: Mining: Mining Support Activity data was reported at 4.060 SCE Ton mn in 2022. This records an increase from the previous number of 3.410 SCE Ton mn for 2021. China Energy Consumption: Industry: Mining: Mining Support Activity data is updated yearly, averaging 3.974 SCE Ton mn from Dec 2012 (Median) to 2022, with 11 observations. The data reached an all-time high of 4.815 SCE Ton mn in 2012 and a record low of 2.859 SCE Ton mn in 2016. China Energy Consumption: Industry: Mining: Mining Support Activity data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Energy Sector – Table CN.RBB: Energy Consumption.
Big Data Market In Oil And Gas Sector Size 2025-2029
The big data market in oil and gas sector size is forecast to increase by USD 31.13 billion, at a CAGR of 29.7% between 2024 and 2029.
In the Oil and Gas sector, the adoption of Big Data is increasingly becoming a strategic priority to optimize production processes and enhance operational efficiency. The implementation of advanced analytics tools and technologies is enabling companies to gain valuable insights from vast volumes of data, leading to improved decision-making and operational excellence. However, the use of Big Data in the Oil and Gas industry is not without challenges. Security concerns are at the forefront of the Big Data landscape in the Oil and Gas sector. With the vast amounts of sensitive data being generated and shared, ensuring data security is crucial. The use of blockchain solutions is gaining traction as a potential answer to this challenge, offering enhanced security and transparency. Yet, the implementation of these solutions presents its own set of complexities, requiring significant investment and expertise. Despite these challenges, the potential benefits of Big Data in the Oil and Gas sector are significant, offering opportunities for increased productivity, cost savings, and competitive advantage. Companies seeking to capitalize on these opportunities must navigate the security challenges effectively, investing in the right technologies and expertise to secure their data and reap the rewards of Big Data analytics.
What will be the Size of the Big Data Market In Oil And Gas Sector during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleIn the oil and gas sector, the application of big data continues to evolve, shaping market dynamics across various sectors. Predictive modeling and pipeline management are two areas where big data plays a pivotal role. Big data storage solutions ensure the secure handling of vast amounts of data, enabling data governance and natural gas processing. The integration of data from exploration and production, drilling optimization, and reservoir simulation enhances operational efficiency and cost optimization. Artificial intelligence, data mining, and automated workflows facilitate decision support systems and data visualization, enabling pattern recognition and risk management. Big data also optimizes upstream operations through real-time data processing, horizontal drilling, and hydraulic fracturing.
Downstream operations benefit from data analytics, asset management, process automation, and energy efficiency. Sensor networks and IoT devices facilitate environmental monitoring and carbon emissions tracking. Deep learning and machine learning algorithms optimize production and improve enhanced oil recovery. Digital twins and automated workflows streamline project management and supply chain operations. Edge computing and cloud computing enable data processing in real-time, ensuring data quality and security. Remote monitoring and health and safety applications enhance operational efficiency and ensure regulatory compliance. Big data's role in the oil and gas sector is ongoing and dynamic, continuously unfolding and shaping market patterns.
How is this Big Data In Oil And Gas Sector Industry segmented?
The big data in oil and gas sector industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ApplicationUpstreamMidstreamDownstreamTypeStructuredUnstructuredSemi-structuredDeploymentOn-premisesCloud-basedProduct TypeServicesSoftwareGeographyNorth AmericaUSCanadaEuropeFranceGermanyRussiaAPACChinaIndiaJapanSouth KoreaSouth AmericaBrazilRest of World (ROW)
By Application Insights
The upstream segment is estimated to witness significant growth during the forecast period.In the oil and gas industry's upstream sector, big data analytics significantly enhances exploration, drilling, and production activities. Big data storage and processing facilitate the analysis of extensive seismic data, well logs, geological information, and other relevant data. This information is crucial for identifying potential drilling sites, estimating reserves, and enhancing reservoir modeling. Real-time data processing from production operations allows for optimization, maximizing hydrocarbon recovery, and improving operational efficiency. Machine learning and artificial intelligence algorithms identify patterns and anomalies, providing valuable insights for drilling optimization, production forecasting, and risk management. Data integration and data governance ensure data quality and security, enabling effective decision-making through advanced decision suppo
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[222+ Pages Report] The global Internet of Things( IoT) in Energy market size is expected to grow from USD 24.35 billion in 2023 to USD 66.23 million by 2032, at a CAGR of 11.76% from 2024-2032
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Italy - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy) was 115.20 points in April of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Italy - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy) - last updated from the EUROSTAT on June of 2025. Historically, Italy - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy) reached a record high of 116.00 points in April of 2023 and a record low of 74.40 points in January of 2000.
Underground Mining Equipment Market Size 2024-2028
The underground mining equipment market size is forecast to increase by USD 7.12 billion, at a CAGR of 4.5% between 2023 and 2028.
The market is driven by the availability of efficient and safe mining equipment, which is essential for optimizing mining operations and enhancing productivity in harsh underground conditions. Technological advances continue to shape the market, with innovations in automation, remote operation, and real-time monitoring systems transforming the underground mining landscape. However, the high cost of underground mining equipment poses a significant challenge for market growth. Mining companies must navigate this obstacle by exploring financing options, implementing cost-saving measures, and focusing on the long-term benefits of investing in advanced equipment.
To capitalize on market opportunities, companies should prioritize research and development efforts, collaborate with technology providers, and maintain a strong focus on safety and efficiency. By addressing these challenges and embracing technological advancements, market players can effectively navigate the complexities of the market and position themselves for long-term success.
What will be the Size of the Underground Mining Equipment Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
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The market is characterized by its continuous evolution and dynamic nature, with ongoing advancements and applications across various sectors. Water management solutions are increasingly crucial for efficient mine operations, while service contracts ensure uninterrupted equipment functionality. Geotechnical engineering plays a pivotal role in mine development, ensuring stability and safety. Load haul dumpers and mining excavators are essential components of the mining process, with a focus on operational efficiency and energy consumption. Safety equipment, including personal protective equipment and mine safety regulations, are paramount to prevent accidents and ensure a healthy work environment. Mine planning and mine development involve the use of mining software and automation systems to optimize mine design and blast design.
Mine hoists and conveyor systems facilitate efficient material transport, while tunnel boring and ore sorting technologies enhance productivity and resource estimation. Remote control systems and autonomous vehicles are transforming the mining industry, enabling real-time monitoring and optimization of mining processes. Drilling machines and rock mechanics are integral to mine exploration and development, with a focus on reducing noise levels and improving fuel consumption. Mine reclamation and environmental remediation are becoming increasingly important, with a focus on minimizing the environmental impact of mining activities. Mine rescue and emergency response teams are essential for ensuring the safety of mining personnel, while spare parts and maintenance services ensure the longevity of mining equipment.
In the ever-changing landscape of the mining industry, these entities continue to unfold and evolve, shaping the market dynamics and driving innovation.
How is this Underground Mining Equipment Industry segmented?
The underground mining equipment industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
Application
Room and pillar mining
Longwall mining
Borehole mining
Others
Geography
North America
US
Europe
Russia
APAC
Australia
China
India
Rest of World (ROW)
.
By Application Insights
The room and pillar mining segment is estimated to witness significant growth during the forecast period.
In the realm of underground mining, room and pillar mining plays a significant role in extracting relatively flat-lying deposits of iron, coal, and base metal ores. This method involves mining a material across a horizontal plane, creating rooms and pillars. In the first phase, pillars are left intact to support the roof overburden, while the remaining areas are extracted. In the second phase, the pillars are partially extracted. Mining equipment essential for room and pillar mining includes haulage machines, mining drills, continuous miners, roof bolters, and scoops. Waste management is crucial in this process, with conveyor systems and trucks utilized for transporting extracted materials.
Mining software optimizes mine planning and resource estimation, ensuring operational efficiency. Noise reduction technology is integrated into mining equipment to minimize disturbances, while mine safety regulations govern the
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Netherlands - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy) was 119.70 points in May of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Netherlands - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy) - last updated from the EUROSTAT on July of 2025. Historically, Netherlands - Producer prices in industry: Mining and quarrying; manufacturing (except MIG energy) reached a record high of 122.30 points in July of 2022 and a record low of 67.00 points in January of 2000.
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Machine learning transforms the landscape of 2D materials design, particularly in accelerating discovery, optimization, and screening processes. This review has delved into the historical and ongoing integration of machine learning in 2D materials for electrochemical energy applications, using the Knowledge Discovery in Databases (KDD) approach to guide the research through data mining from the Scopus database using analysis of citations, keywords, and trends. The topics will first focus on a “macro” scope, where hundreds of literature reports are computer analyzed for key insights, such as year analysis, publication origin, and word co-occurrence using heat maps and network graphs. Afterward, the focus will be narrowed down into a more specific “micro” scope obtained from the “macro” overview, which is intended to dive deep into machine learning usage. From the gathered insights, this work highlights how machine learning, density functional theory (DFT), and traditional experimentation are jointly advancing the field of materials science. Overall, the resulting review offers a comprehensive analysis, touching on essential applications such as batteries, fuel cells, supercapacitors, and synthesis processes while showcasing machine learning techniques that enhance the identification of critical material properties.