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Thermal Ceramics Market size is expected to grow from USD 3.97Billion in 2022 to USD 6.13 Billion by 2029, anticipated to witness moderate growth during 2023-2029 with a CAGR 4.9%.

Thermal Ceramics Market 2023 is a comprehensive study accumulated to provide the latest information on acute market features. The report contains different market predictions related to revenue size, production, CAGR, Consumption, gross margin, price and other substantial factors. While emphasizing the key driving and restraining forces for this Thermal Ceramics market, the report also offers a complete study of the future trends and developments of the market. It also examines the role of the leading market players involved in the industry including their corporate overview, financial summary and SWOT analysis. The Thermal Ceramics market research study's goal is to conduct a thorough investigation of the market to learn more about it and its potential for growth. This gives the client a thorough understanding of the industry and business from past, present, and future perspectives, helping them to deploy resources and make sensible financial decisions.

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Some Key Competitors of the Market are -

Morgn Thermal Ceramics, Unifrax,IBIDEN, Isolite Insulating Products, RHI Magnesthia, Rath, YESO Insulating Products, 3M, Mitsubishi Chemical Corporation.

Thermal Ceramics Market Segmentation:

Thermal Ceramics Market By Type, 2023-2029, (USD Billion), (Kilotons).

Thermal Ceramics Market By End-User, 2023-2029, (USD Billion), (Kilotons).

The Global version of Thermal Ceramics Market Analysis by Regions -

- North America (the USA, Canada, and Mexico)

- Europe (Germany, France, the United Kingdom, Netherlands, Italy, Nordic Nations, Spain, Switzerland, and the Rest of Europe)

- Asia-Pacific (China, Japan, Australia, New Zealand, South Korea, India, Southeast Asia, and the Rest of APAC)

- South America (Brazil, Argentina, Chile, Colombia, the Rest of the countries, etc.)

- the Middle East and Africa (Saudi Arabia, United Arab Emirates, Israel, Egypt, Turkey, Nigeria, South Africa, Rest of MEA)

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Several of the marketplace statistics taken into account in the analysis include the ones that follow:

Market size:

The growth rate of the market:

Trends in the market:

Market fluctuations:

Industry forecast:

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Analysis of the competition:

Table of Contents:

To be continued.....

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Thermal Ceramics Market Size Will be Expected to Boom USD 6.13 Billion by 2029 - Benzinga

Set to define the future of mining, real-time data analytics provide additional insights into underlying mining systems and enable short interval control approaches for decision-making. Mining-specific solutions include tracking loads of materials being transported from mines, wear rates on critical mining tools to enable predictive maintenance, and computer vision applications, which all contribute towards developing a robust data engineering process and limiting the complexity of data management and warehousing.

In South Africa a leading producer of platinum, chrome, gold and diamonds globally ICT provider BCX has deployed 5G wireless-enabled technology to the Nungu Mine, enabling video monitoring and integrated connectivity to enhance the mines operational efficiencies and safety.

With evolving Environmental, Social, and Governance (ESG) standards, rising energy costs and limited infrastructure, mining firms operating in Africa are being compelled to innovate to improve efficiency and cut costs. Technologies such as AI and predictive analytics create actionable insights from raw data and offer the potential to reduce unplanned downtime, streamline processes, improve asset performance, and achieve more reliable and predictable outcomes for mining throughputs.

For example, ICT company Minetec Smart Mining has implemented collision avoidance devices across its operations in South Africa, with a view to reducing risk exposure and fatalities around mining operations.

Additionally, predictive analytic solutions and deep learning approaches can help diagnose equipment issues before failure and forecast an assets remaining lifetime. This technology is poised to enable mining companies to optimize maintenance schedules, thus allowing users to mitigate potential failures and maximize operational strategies.

Mining companies operating in Africa have already begun to embrace digitalization and 4IR technologies, taking advantage of the full spectrum of live metrics and data analytics to minimize their consumption of limited resources, reduce waste, improve transparency and ensure compliance.

In Mali, the Syama Underground Gold Mine developed by the Socit des Mines de Syama installed fiber-optic network connections to better manage and monitor mining activities. The Syama Mine is the worlds first purpose-built automated mine and has served to reduce costs by approximately 30% while improving overall efficiency. Meanwhile, in December 2021, diamond mining producer Debswana inaugurated its first 5G-oriented smart mine at the Jwaneng open-pit diamond mine in Botswana. The network solution provides stable connectivity while enabling interconnection among the mines production, safety and security systems.

Data analytics and predictive maintenance in mining is expected to reduce the planning time of operations by 20%-50%, while reducing overall operational costs by roughly 10%. Mining companies in Africa that embrace digitalization can save millions of dollars in averted asset failures, while improving consistency, performance and reliability. Meanwhile, the adoption of renewable energy systems can help the African mining sector reduce its environmental impact, with autonomous 4IR technologies poised to cut fuel consumption in processes such as loading, crushing and drilling.

Some of the continents most recent mines, such as the Kamoa-Kakula Copper Complex operated by diversified mining company, Ivanhoe Mines are being designed with automated equipment, allowing operators to work remotely, or semi-remotely, thereby vastly improving safety for miners.

The economic and environmental benefits of digitalization in the African mining sector will allow active mines to become more profitable and productive, while contributing to the reskilling of the local workforce through digital skills and training programs. Critical for the production of renewable energy technologies, such as solar panels, wind turbines, and electric vehicle batteries, the continent produces approximately 80% of the worlds platinum, 70% of global cobalt, 50% of its manganese, and a substantial amount of chromium, in addition to other critical resources such as copper, lithium, and rare earth elements.

Embracing available and future 4IR technologies will be imperative for the resilience and sustainability of the African mining industry, allowing the continent to drive ESG performance standards while ensuring its extractive sector remains competitive on the global stage.

Link:

4IR Technologies to Boost Competitiveness of Africa's Mining Industry - Energy Capital & Power

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Despite well-documented effects on human health, the action modes of environmental pollutants are incompletely understood. Although transcriptome-based approaches are widely used to predict associations between chemicals and disorders, the molecular cues regulating pollutant-derived gene expression changes remain unclear. Therefore, we developed a data-mining approach, termed DAR-ChIPEA, to identify transcription factors (TFs) playing pivotal roles in the action modes of pollutants.Large-scale public ChIP-Seq data (human, n=15,155; mouse, n=13,156) were used to predict TFs that are enriched in the pollutant-induced differentially accessible genomic regions (DARs) obtained from epigenome analyses (ATAC-Seq). The resultant pollutant-TF matrices were then cross-referenced to a repository of TF-disorder associations to account for pollutant modes of action. We subsequently evaluated the performance of the proposed method using a chemical perturbation data set to compare the outputs of the DAR-ChIPEA and our previously developed differentially expressed gene (DEG)-ChIPEA methods using pollutant-induced DEGs as input. We then adopted the proposed method to predict disease-associated mechanisms triggered by pollutants.The proposed approach outperformed other methods using the area under the receiver operating characteristic curve score. The mean score of the proposed DAR-ChIPEA was significantly higher than that of our previously described DEG-ChIPEA (0.7287 vs. 0.7060; Q=5.27810; two-tailed Wilcoxon rank-sum test). The proposed approach further predicted TF-driven modes of action upon pollutant exposure, indicating that (1) TFs regulating Th1/2 cell homeostasis are integral in the pathophysiology of tributyltin-induced allergic disorders; (2) fine particulates (PM) inhibit the binding of C/EBPs, Rela, and Spi1 to the genome, thereby perturbing normal blood cell differentiation and leading to immune dysfunction; and (3) lead induces fatty liver by disrupting the normal regulation of lipid metabolism by altering hepatic circadian rhythms.Highlighting genome-wide chromatin change upon pollutant exposure to elucidate the epigenetic landscape of pollutant responses outperformed our previously described method that focuses on gene-adjacent domains only. Our approach has the potential to reveal pivotal TFs that mediate deleterious effects of pollutants, thereby facilitating the development of strategies to mitigate damage from environmental pollution. 2023. BioMed Central Ltd., part of Springer Nature.

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