Iron Ore rose to 106.94 USD/T on December 1, 2025, up 2.00% from the previous day. Over the past month, Iron Ore's price has risen 1.04%, and is up 1.54% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Iron Ore - values, historical data, forecasts and news - updated on December of 2025.

Explore the factors influencing iron ore prices, including demand from the steel industry, supply disruptions, and global economic trends. Learn where to find live updates on iron ore futures for informed decision-making.

Iron Ore CNY rose to 794 CNY/T on November 28, 2025, up 0.70% from the previous day. Over the past month, Iron Ore CNY's price has fallen 1.31%, but it is still 0.13% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Iron Ore CNY.

Explore the dynamic factors influencing the live price of iron ore, a vital component in steel production, impacted by global economic, environmental, and political events with significant influence from key players like China, Australia, and Brazil.

In May 2024, iron ore was valued at approximately *** U.S. dollars per dry metric ton unit (dmtu), as compared to *** U.S. dollars per dmtu in the same month of the previous year. Iron ore prices and production Iron ore refers to the minerals and rocks from which metallic iron is economically viable to extract. Pig iron, which is one of the raw materials used in steel production, is derived from iron ore. The price of iron ore has fluctuated a great deal over the last twenty years. In 2003, one dmtu of iron ore cost ** U.S. dollars, and increased to a high of *** U.S. dollars per dmtu in 2011. The price saw dramatic drops in the past decade, from ****** U.S. dollars per dry metric ton unit in March 2013 to ***** U.S. dollars per dmtu in December 2015. Since then, the price has increased gradually to ****** U.S. dollars per dmtu as of July 2021, before dropping sharply in August 2021. Iron ore producers Overall, the global production of iron ore did not decrease when the prices dropped. In fact, an increase in production among several of the world's largest iron ore producing countries was observed in the past five years. Australia produced *** million metric tons of iron ore in 2023. China is also among the world's largest iron ore producers, though its production is calculated differently than in other countries. Based primarily on the production of raw ore rather than usable ore, China produced an estimated *** million metric tons in 2023.

Get the latest insights on price movement and trend analysis of Iron Ore in different regions across the world (Asia, Europe, North America, Latin America, and the Middle East Africa).

Iron Ore 62% fe stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Explore how live prices of Dalian iron ore futures impact global steelmaking, influenced by China's market demand, production levels, and global financial conditions. Understand the role of these prices in strategic planning and risk management for those in the steel supply chain.

Labrador Iron Ore stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

This dataset includes real-time and historical Iron Ore prices, global market insights, trading data, and demand forecasts provided by Bigmint.

Explore the factors influencing iron ore prices in China, including domestic demand from its steel industry, supply chain disruptions, global economic conditions, and market speculation. Learn about the impact of government policies and where to find live pricing updates.

India Iron Ore: Average Sale Price: Fines: 58 - 60% Fe data was reported at 3,714.000 INR/Ton in Feb 2025. This records a decrease from the previous number of 3,786.000 INR/Ton for Jan 2025. India Iron Ore: Average Sale Price: Fines: 58 - 60% Fe data is updated monthly, averaging 1,988.000 INR/Ton from Feb 2011 (Median) to Feb 2025, with 169 observations. The data reached an all-time high of 4,775.000 INR/Ton in Aug 2021 and a record low of 819.000 INR/Ton in Dec 2015. India Iron Ore: Average Sale Price: Fines: 58 - 60% Fe data remains active status in CEIC and is reported by Indian Bureau of Mines. The data is categorized under India Premium Database’s Metal and Steel Sector – Table IN.WAC009: Iron Ore Average Sale Price.

Labrador Iron Ore reported CAD10.21M in Cost of Sales for its fiscal quarter ending in September of 2025. Data for Labrador Iron Ore | LIF - Cost Of Sales including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Kumba Iron Ore reported ZAR106.04B in Market Capitalization this December of 2025, considering the latest stock price and the number of outstanding shares.Data for Kumba Iron Ore | KIO - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Labrador Iron Ore reported CAD812.28M in Assets for its fiscal quarter ending in September of 2025. Data for Labrador Iron Ore | LIF - Assets including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Labrador Iron Ore reported CAD43.99M in Sales Revenues for its fiscal quarter ending in September of 2025. Data for Labrador Iron Ore | LIF - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last December in 2025.

About This Dataset: Copper Prices and Market Trends

    This dataset provides **insights into copper prices**, including current rates, historical trends, and key factors affecting price fluctuations. Copper is essential in **construction**, **electronics**, and **transportation** industries. Investors, traders, and analysts use accurate copper price data to guide decisions related to **trading**, **futures**, and **commodity investments**.

    ### **Key Features of the Dataset**

    #### **Live Market Data and Updates**
    Stay updated with the latest **copper price per pound** in USD. This data is sourced from exchanges like the **London Metal Exchange (LME)** and **COMEX**. Price fluctuations result from **global supply-demand shifts**, currency changes, and geopolitical factors.

    #### **Interactive Copper Price Charts**
    Explore **dynamic charts** showcasing real-time and historical price movements. These compare copper with **gold**, **silver**, and **aluminium**, offering insights into **market trends** and inter-metal correlations.

    ### **Factors Driving Copper Prices**

    #### **1. Supply and Demand Dynamics**
    Global copper supply is driven by mining activities in regions like **Peru**, **China**, and the **United States**. Disruptions in production or policy changes can cause **supply shocks**. On the demand side, **industrial growth** in countries like **India** and **China** sustains demand for copper.

    #### **2. Economic and Industry Trends**
    Copper prices often reflect **economic trends**. The push for **renewable energy** and **electric vehicles** has boosted long-term demand. Conversely, economic downturns and **inflation** can reduce demand, lowering prices.

    #### **3. Impact of Currency and Trade Policies**
    As a globally traded commodity, copper prices are influenced by **currency fluctuations** and **tariff policies**. A strong **US dollar** typically suppresses copper prices by increasing costs for international buyers. Trade tensions can also disrupt **commodity markets**.

    ### **Applications and Benefits**

    This dataset supports **commodity investors**, **traders**, and **industry professionals**:

    - **Investors** forecast price trends and manage **investment risks**. 
    - **Analysts** perform **market research** using price data to assess **copper futures**. 
    - **Manufacturers** optimize supply chains and **cost forecasts**.

    Explore more about copper investments on **Money Metals**:

    - [**Buy Copper Products**](https://www.moneymetals.com/buy/copper) 
    - [**95% Copper Pennies (Pre-1983)**](https://www.moneymetals.com/pre-1983-95-percent-copper-pennies/4) 
    - [**Copper Buffalo Rounds**](https://www.moneymetals.com/copper-buffalo-round-1-avdp-oz-999-pure-copper/297)

    ### **Copper Price Comparisons with Other Metals**

    Copper prices often correlate with those of **industrial** and **precious metals**:

    - **Gold** and **silver** are sensitive to **inflation** and currency shifts. 
    - **Iron ore** and **aluminium** reflect changes in **global demand** within construction and manufacturing sectors.

    These correlations help traders develop **hedging strategies** and **investment models**.

    ### **Data Variables and Availability**

    Key metrics include:

    - **Copper Price Per Pound:** The current market price in USD. 
    - **Copper Futures Price:** Data from **COMEX** futures contracts. 
    - **Historical Price Trends:** Long-term movements, updated regularly. 

    Data is available in **CSV** and **JSON** formats, enabling integration with analytical tools and platforms.

    ### **Conclusion**

    Copper price data is crucial for **monitoring global commodity markets**. From **mining** to **investment strategies**, copper impacts industries worldwide. Reliable data supports **risk management**, **planning**, and **economic forecasting**.

    For more tools and data, visit the **Money Metals** [Copper Prices Page](https://www.moneymetals.com/copper-prices).

Iron Ore Pellet Size Prediction

The aim is to predict the size of the pellets (pellet feed) at the end of the production process in a steel industry operating in the global market.

The prediction will be carried out using historical data from sensors that capture information from each stage of the production process, statistical models and artificial intelligence algorithms, which will seek to identify trends and patterns in order to estimate the size of the pellets at the end of the process.

Dataset Overview

The dataset contains 10 columns and 9997 rows where each row shows a stage of the production process with its respective information.

This data can be extremely useful for process engineers, data scientists and other professionals involved in the steel industry.

For process engineers, detailed analysis of variables can provide valuable insights into operational efficiency. They can identify bottlenecks in the process, assess the impact of different operating conditions and implement improvements that result in more efficient and higher quality production.

For data scientists, the dataset offers a rich source of information for building predictive models. Using machine learning techniques, they can develop algorithms that predict pellet size based on input variables, allowing for real-time adjustments and optimization of the production process. In addition, statistical analysis can reveal hidden patterns and trends that may not be evident at first glance.

Note: There are many outliers and noisy data (zeros) in the database that have not been intentionally treated.

Column Descriptions

• Superficie_Especifica (explanatory): Quality measure that goes into platooning
• Taxa_Alimentacao_Disco (explanatory): Disc feed rate
• Taxa_Alimentacao_Misturador (explanatory): Mixer feed rate
• Umidade (explanatory): Humidity feed rate
• Bentonita (explanatory): Bentonite feed rate
• Velocidade_Disco (explanatory): Disc speed feed rate
• Velocidade_Misturador (explanatory): Mixer speed feed rate
• Retorno_1 (explanatory): Return feed rate
• Retorno_2 (explanatory): Return feed rate
• Distribuicao_Tamanho_Pelotas (target): Size of the pellets at the end of the process

How to Use this Dataset

Exploratory Data Analysis (EDA):

Perform univariate and multivariate analysis. Visualize data distributions for variables such as Umidade, Bentonita, and Taxa_Alimentacao_Disco.

Data Visualization:

Create plots to study relationships between features. Use heatmaps to analyze correlations between numerical features.

Predictive Modeling:

Build machine learning models to predict Distribuicao_Tamanho_Pelotas using features. Test different regression models (machine learning or deep learning) for better insights.

Labrador Iron Ore reported CAD0 in Debt for its fiscal quarter ending in March of 2025. Data for Labrador Iron Ore | LIF - Debt including historical, tables and charts were last updated by Trading Economics this last December in 2025.

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Sinter Plant Market Size 2025-2029

The sinter plant market size is valued to increase by USD 1.53 billion, at a CAGR of 10.7% from 2024 to 2029. Improvement in sinter technology will drive the sinter plant market.

Market Insights

APAC dominated the market and accounted for a 34% growth during the 2025-2029.
By Product - MHMG system segment was valued at USD 702.10 billion in 2023
By Type - Small scale sinter plant segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 127.54 million 
Market Future Opportunities 2024: USD 1534.00 million
CAGR from 2024 to 2029 : 10.7%

Market Summary

The market is a critical segment of the global steel industry, driven by advancements in sinter technology and the growing popularity of the Electric Arc Furnace (EAF) route. Sinter plants play a pivotal role in the steelmaking process by agglomerating iron ore fines and other raw materials into larger lumps, facilitating their efficient utilization in blast furnaces. Improvements in sinter technology have led to enhanced production efficiency and reduced energy consumption. For instance, the implementation of advanced pyroprocessing techniques and the use of alternative fuel sources have significantly improved the overall performance of sinter plants. Moreover, the increasing adoption of automation and digitalization in the steel industry is driving the modernization of sinter plants, enabling real-time monitoring and optimization of production processes.
Another significant trend in the market is the growing popularity of the EAF route, which relies on direct reduction iron (DRI) produced from sinter instead of traditional blast furnace iron ore. This shift is primarily driven by the need for operational flexibility and cost savings. In the context of supply chain optimization, steel producers are increasingly looking to secure reliable and consistent supplies of sinter to ensure the smooth operation of their EAFs. Despite these opportunities, the market faces challenges such as stringent environmental regulations and the need for continuous process optimization. Compliance with emissions norms and the implementation of circular economy principles are key areas of focus for steel producers.
Additionally, the volatility of raw material prices and the need for energy efficiency remain ongoing challenges that require constant attention. In conclusion, the market is characterized by ongoing advancements in technology, evolving market dynamics, and the need for operational efficiency and sustainability. Steel producers must navigate these challenges while capitalizing on opportunities to remain competitive in the global market.

What will be the size of the Sinter Plant Market during the forecast period?

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The market represents a dynamic and evolving landscape, with ongoing advancements shaping the industry's future. One significant trend is the integration of data analytics platforms and artificial intelligence applications to optimize operational cost reduction and improve product quality. For instance, companies have successfully employed machine learning algorithms to analyze process data, enabling predictive maintenance scheduling and real-time performance monitoring. Moreover, environmental compliance remains a critical concern for sinter plant operators. In response, there has been a surge in the adoption of exhaust gas treatment systems, which help minimize emissions and reduce environmental impact. Additionally, safety protocols and remote monitoring systems have become essential tools for ensuring efficient and secure plant operations.
Sinter plant design and waste management practices have also undergone substantial transformations. Process modeling techniques, such as energy audits and process simulation software, have become indispensable for optimizing energy consumption and reducing waste. Furthermore, the implementation of automated control systems and temperature control technologies has led to enhanced sintering kinetics, resulting in improved fuel injection systems and overall plant efficiency. In conclusion, the market is characterized by continuous innovation and adaptation to meet the demands of a rapidly changing business landscape. By focusing on operational cost reduction, product quality improvement, and environmental compliance, sinter plant operators can make informed decisions that drive long-term success.

Unpacking the Sinter Plant Market Landscape

In the realm of industrial mineral processing, the market showcases significant advancements in emission control strategies. Exhaust gas recirculation systems have led to a 30% reduction in nitrogen oxide emissions, aligning with stringent regulatory requirements. Cooling bed design innovations have enhanced sinter strength by 25%, resulting in imp