Copper fell to 4.39 USD/Lbs on August 8, 2025, down 0.20% from the previous day. Over the past month, Copper's price has fallen 19.27%, but it is still 10.06% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Copper - values, historical data, forecasts and news - updated on August of 2025.

According to industry experts and analysts, the future price forecast for copper shows a positive outlook. Factors driving the forecast include increasing demand from emerging economies, transition towards renewable energy, supply constraints, and geopolitical factors.

As of June 20, 2024, copper futures contracts to be settled in July 2029 were trading on U.S. markets at around *** U.S. dollars per pound. This is higher than the price of **** U.S. dollars per pound for contracts to be settled in January 2024, indicating that copper traders expect the price of copper to fluctuate. Copper futures are contracts that effectively lock in a price for an amount of copper to be purchased at a time in the future, which can then be traded on markets. Futures markets therefore provide an indicator of how investors think a commodities market will develop in the future.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Copperindex: The Future of Copper Pricing?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Is Copper's Index a Reliable Guide?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Snapshot img

Copper Market Size 2024-2028

The copper market size is forecast to increase by USD 70 billion, at a CAGR of 6.78% between 2023 and 2028. The market is characterized by robust demand, particularly in the Asia-Pacific region, driven by technological innovations.

Major Market Trends & Insights

APAC dominated the market and accounted for a 73% share in 2022. The market is expected to grow significantly in North America region as well over the forecast period. Based on the Application, the electrical and electronics segment led the market and was valued at USD 82.20 billion of the global revenue in 2022. Based on the Type, the primary segment accounted for the largest market revenue share in 2022.

Market Size & Forecast

Market Opportunities: USD 191.60 Billion Future Opportunities: USD 70 Billion CAGR (2023-2028): 6.78% APAC: Largest market in 2022

The market continues to evolve, driven by its versatility and essential role in various sectors. Copper wire production remains a significant application, with its superior metal conductivity enabling efficient power transmission. In the realm of manufacturing, metal conductivity testing plays a crucial role in ensuring product quality, while grain size distribution and material ductility are vital factors in heat exchanger design. Cathode production involves electrochemical deposition, a process that relies on thermal conductivity for optimal efficiency. Anode manufacturing, on the other hand, necessitates careful consideration of anode material properties, including corrosion resistance and surface treatment methods.

What will be the Size of the Copper 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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Semiconductor applications, such as soldering techniques and copper recycling methods, contribute to the industry's growth, with expectations for a 5% compound annual growth rate. The copper industry also encompasses microstructure analysis, thermal expansion coefficient, and the copper refining process, all integral to producing high-purity copper for various applications. Copper sheet rolling and material tensile strength are essential in metal forming processes, while casting processes utilize alloying elements to enhance electrical conductivity and thermal conductivity. Copper electroplating and brazing techniques are employed in the production of copper tubing fabrication, further expanding the market's reach. Copper alloys, with their unique properties, cater to diverse industries, from automotive to construction. The construction segment is the second largest segment of the application and was valued at USD 34.20 billion in 2022.

Electrical resistivity and machining techniques are essential considerations in the production of these alloys, ensuring optimal performance and durability. In a recent example, a leading automotive manufacturer increased sales by 15% by implementing advanced copper alloy compositions in their engine components, enhancing thermal conductivity and material fatigue resistance. This innovation underscores the continuous unfolding of market activities and the evolving patterns in the copper industry.

The technological sector's insatiable appetite for copper, as a key component in various electronic devices and infrastructure, fuels market growth. However, the market faces the significant challenge of price volatility. Fluctuations in copper prices pose a substantial risk for market participants, necessitating effective risk management strategies. Companies must navigate this price uncertainty while capitalizing on the burgeoning demand for copper in emerging technologies to remain competitive.

In summary, the market is underpinned by strong demand from the Asia-Pacific region, driven by technological advancements, yet confronted by the challenge of price volatility. Companies must adopt agile strategies to capitalize on market opportunities and mitigate risks associated with copper price fluctuations.

How is this Copper Industry segmented?

The copper 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

Electrical and electronics Construction Telecommunication Transportation Others

Type

Primary Secondary Oxygen-Free Electrolytic

Product Form

Wire Rods Tubes Sheets and Strips Plates Bars and Sections

Geography

North America

US Canada

Europe

France Germany Italy UK

Middle East and Africa

Egypt KSA Oman UAE

APAC

China India Japan

South America

Argentina Brazil

Rest of World (ROW)

By Application Insights

The electrical and electronics segment is estimated to witness significant growth during the forecast pe

The report covers Copper Usage by Industry and is segmented by End-user Industry (Automotive and Heavy Equipment, Construction, Electrical and Electronics, Industrial, and Other End-user Industries) and Geography (Asia-Pacific, North America, Europe, South America, and Middle-East and Africa). The report offers market size and forecast for the copper market in volume (kilo tons) for all the above segments.

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

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

This statistic depicts the average annual prices for copper from 2014 through 2026*. In 2024, the average price for copper stood at 9,142 nominal U.S. dollars per metric ton.

The Chinese copper market rose rapidly to $47.1B in 2024, with an increase of 10% against the previous year. Over the period under review, the total consumption indicated notable growth from 2012 to 2024: its value increased at an average annual rate of +2.1% over the last twelve-year period. The trend pattern, however, indicated some noticeable fluctuations being recorded throughout the analyzed period. Based on 2024 figures, consumption decreased by -3.1% against 2022 indices.

Learn about the various factors that influence the price of copper, including supply and demand dynamics, global economic trends, geopolitical events, and technical analysis. Discover how these factors can provide insights into potential price directions, although the future price of copper remains uncertain and can be influenced by unforeseen events and market shocks.

Forecast: Copper Stocks in the US 2024 - 2028 Discover more data with ReportLinker!

This dataset provides values for COPPER reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

In 2022, the Indian copper market increased by 21% to $X, rising for the third consecutive year after two years of decline. Overall, consumption recorded a buoyant increase. Over the period under review, the market attained the maximum level in 2022 and is expected to retain growth in the immediate term.

Forecast: Copper Market Size Value in Germany 2023 - 2027 Discover more data with ReportLinker!

In 2024, after two years of decline, there was significant growth in the Canadian copper market, when its value increased by 8.3% to $3.8B. Over the period under review, consumption showed a relatively flat trend pattern. As a result, consumption attained the peak level of $4B. From 2022 to 2024, the growth of the market failed to regain momentum.

In 2021, the copper price is expected to grow, driven by an increase in demand over supply. Heightened demand for copper is spurred on by a robust pace in construction and rapid development of the electric car industry in the Asia Pacific, the U.S. and the EU. At the same time, copper output still hasn’t fully bounced back after the shock of Covid-19.

Forecast: Copper Market Size Value in the UK 2022 - 2026 Discover more data with ReportLinker!

Copper is an important mineral and fluctuations in copper prices can affect the stable functioning of some countries’ economies. Policy makers, futures traders and individual investors are very concerned about copper prices. In a recent paper, we use an artificial intelligence model long short-term memory (LSTM) to predict copper prices. To improve the efficiency of long short-term memory (LSTM) model, we introduced a simulated annealing (SA) algorithm to find the best combination of hyperparameters. The feature engineering problem of the AI model is then solved by correlation analysis. Three economic indicators, West Texas Intermediate Oil Price, Gold Price and Silver Price, which are highly correlated with copper prices, were selected as inputs to be used in the training and forecasting model. Three different copper price time periods, namely 485, 363 and 242 days, were chosen for the model forecasts. The forecast errors are 0.00195, 0.0019 and 0.00097, respectively. Compared with the existing literature, the prediction results of this paper are more accurate and less error. The research in this paper provides a reliable reference for analyzing future copper price changes.