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The global commodity trading platform market size was valued at approximately USD 3.5 billion in 2023 and is expected to reach around USD 7.2 billion by 2032, growing at a CAGR of 8.2% from 2024 to 2032. This growth is driven by increasing digitalization, expanding global trade, and rising demand for efficient trading solutions. The digital transformation in trading activities, coupled with the need for real-time data and analytics, is propelling the adoption of advanced trading platforms across the globe.
One of the significant growth factors for the commodity trading platform market is the increasing adoption of digital technologies in trading activities. As the trading landscape becomes more complex and competitive, institutional and retail investors are seeking more sophisticated tools that can offer real-time data analysis, risk management, and automated trading capabilities. The integration of AI and machine learning in these platforms is further enhancing their efficiency and decision-making capabilities, thereby driving market growth.
Another crucial factor contributing to the market's expansion is the globalization of trade. With the world becoming increasingly interconnected, there is a growing need for platforms that can handle the complexities of international trading. These platforms offer features such as multi-currency support, compliance with regional regulations, and real-time tracking of global market trends, making them indispensable tools for traders operating on a global scale. Additionally, the rise in cross-border e-commerce and international investments is further fueling the demand for advanced commodity trading platforms.
The growing focus on sustainability and ethical trading practices is also influencing the market positively. As more investors and companies prioritize Environmental, Social, and Governance (ESG) criteria in their trading activities, there is a rising demand for platforms that can provide transparency and traceability in commodity sourcing and trading. This trend is particularly evident in the agriculture and energy sectors, where there is increasing scrutiny on the environmental and social impacts of trading activities.
The role of Derivatives And Commodities Brokerage is becoming increasingly pivotal in the commodity trading platform market. These brokerages act as intermediaries, facilitating trades between buyers and sellers in the commodities market. With the rise of digital trading platforms, brokerages are evolving to offer more sophisticated services, including real-time data analytics, risk management tools, and automated trading options. This evolution is crucial as it enables traders to navigate the complexities of the global commodities market more efficiently. The integration of AI and machine learning technologies by these brokerages is further enhancing their ability to provide tailored trading solutions, thereby attracting a broader range of clients from institutional to retail investors.
From a regional perspective, North America currently holds a significant share of the commodity trading platform market, driven by the presence of major market players and high adoption rates of advanced trading technologies. However, regions like Asia Pacific are expected to witness the highest growth rates during the forecast period. The rapid economic growth, expanding middle-class population, and increasing digital literacy in countries like China and India are key factors contributing to this regional growth. Moreover, the liberalization of trade policies and investment in digital infrastructure are further supporting the market's expansion in these regions.
The commodity trading platform market can be segmented by component into software and services. The software segment includes various types of platforms such as trading software, risk management software, and analytical tools. These software solutions are designed to provide traders with real-time data, automated trading options, and advanced analytical capabilities. The increasing complexity of trading activities and the need for high-speed transactions are driving the demand for sophisticated software solutions. Moreover, the integration of AI and machine learning technologies in trading software is enhancing their functionality and efficiency, making them more attractive to traders.
On the other hand, the s
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CRB Index rose to 373.34 Index Points on July 11, 2025, up 1.06% from the previous day. Over the past month, CRB Index's price has risen 0.59%, and is up 9.33% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. CRB Commodity Index - values, historical data, forecasts and news - updated on July of 2025.
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The global second-hand commodities trading platform market is projected to be valued at $280 billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of 5.0%, reaching approximately $450 billion by 2034.
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Graph and download economic data for Global Price Index of All Commodities (PALLFNFINDEXQ) from Q1 2003 to Q1 2025 about World, commodities, price index, indexes, and price.
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Eggs US rose to 2.76 USD/Dozen on July 14, 2025, up 2.53% from the previous day. Over the past month, Eggs US's price has risen 3.05%, and is up 18.61% compared to the same time last year, 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 Eggs US.
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The Canadian International Merchandise Trade (CIMT) Web Application offers the most detailed commodity trade data using the Harmonized System (HS) classification of goods (the 8-digit commodity level for exports and the 10-digit for imports). The CIMT Web Application also offers data at the international 6-digit commodity level. With the CIMT Web Application the user can visualize the latest information on customs based monthly trade through tables and charts as well as a time series report. For a selected period of time, one can also customize its selection and visualize trade, export or import, data for a specific trading partner, a specific province and a specific variable such as value, volume and a percentage change on a monthly or annual basis. The application has also the ability to retrieve the top 25 commodities traded between a selected by the user geography, Canada or a province, and trading partner, the World or a specific country, for the month of interest. When desired, the user can copy the data seen on the screen into their preferred data manipulation software. In general, merchandise trade data are revised on an ongoing basis for each month of the current year. The previous year's customs data are revised with the release of the January and February reference months as well as on a quarterly basis. The previous two years of customs based data are revised annually and are released in February with the December reference month.
Free access to detailed global trade data. UN Comtrade is a repository of official trade statistics and relevant analytical tables. It contains annual trade statistics starting from 1962 and monthly trade statistics since 2010
Website:
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Coffee fell to 288.72 USd/Lbs on July 11, 2025, down 0.41% from the previous day. Over the past month, Coffee's price has fallen 16.63%, but it is still 15.90% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coffee - values, historical data, forecasts and news - updated on July of 2025.
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Gold rose to 3,354.76 USD/t.oz on July 11, 2025, up 0.92% from the previous day. Over the past month, Gold's price has fallen 0.92%, but it is still 39.14% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on July of 2025.
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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).
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Currently the main global emissions datasets (GCB, CDIAC, CEDS, etc.) do not include emissions from consumption of liquid fuels in Australia in the years before 1950 because of lacking data. As part of the Global Carbon Project's continued work to improve historical emissions estimates, this dataset presents physical quantities of petroleum commodities traded by Australia in the period 1903-1960. Given that the first commercial production of crude oil in Australia began after 1960 (source), trade data is sufficient to estimate consumption, on the assumption that stock changes were minimal. Petroleum reported as "ships' stores" are taken to be sales of international bunker fuels.
While Australia did produce some liquid fuels in this period from oil shale, this is categorised as a solid fuel, and generally secondary products of solid fuels are also categorised as solid fuels, despite being liquid. The scale of production from oil shale is unknown, but assumed to be relatively small.
Note that some commodity types present in the dataset may be assumed not to be oxidised, e.g. petroleum jelly, and therefore not contributing to CO2 emissions, and quantities of these commodities may not have been transcribed in all years. Further, for some years data for exports of domestically produced and foreign-produced commodities were transcribed separately, but for most years only the total exports were transcribed.
The original PDF files from which data have been transcribed are also included. The data file indicates, for each record, the page number from which the record was obtained, counting the first page of the file as page 1 (as opposed to using printed page numbers). This allows verification, should that be desired. These reports are the annual "Oversea Trade" reports retrieved from the website of the Australian Bureau of Statistics (ABS) here. The 12-month period of reporting in most years is the Australian financial year, July through June, but in early years it was the calendar year. The 1913 edition was the final report for a calendar year, with the subsequent report being for the period July 1914 through June 1915. The latter report indicates that the six-month period between these two reports was published, but this was not located on the ABS website.
The GCP's fossil CO2 dataset is documented here. Comparison of derived emissions with those published by CDIAC in the period 1950-1960 indicate good agreement.
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Corn fell to 393.37 USd/BU on July 14, 2025, down 0.66% from the previous day. Over the past month, Corn's price has fallen 9.52%, and is down 2.69% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Corn - values, historical data, forecasts and news - updated on July of 2025.
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Brent rose to 70.45 USD/Bbl on July 14, 2025, up 0.12% from the previous day. Over the past month, Brent's price has fallen 3.80%, and is down 16.98% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Brent crude oil - values, historical data, forecasts and news - updated on July of 2025.
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Coal rose to 112 USD/T on July 11, 2025, up 0.90% from the previous day. Over the past month, Coal's price has risen 7.07%, but it is still 16.32% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coal - values, historical data, forecasts and news - updated on July of 2025.
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Rubber fell to 165.60 USD Cents / Kg on July 14, 2025, down 0.42% from the previous day. Over the past month, Rubber's price has risen 1.97%, and is up 2.86% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Rubber - values, historical data, forecasts and news - updated on July of 2025.
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International merchandise trade data grouped by North American Product Classification System (NAPCS) section. Users have the option of selecting Imports and Exports. Data are unadjusted and seasonally adjusted, on a Customs and Balance of Payments basis, at a quarterly frequency.
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Lithium rose to 63,750 CNY/T on July 11, 2025, up 0.16% from the previous day. Over the past month, Lithium's price has risen 5.11%, but it is still 29.56% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lithium - values, historical data, forecasts and news - updated on July of 2025.
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Uranium rose to 71.75 USD/Lbs on July 11, 2025, up 0.35% from the previous day. Over the past month, Uranium's price has risen 2.87%, but it is still 16.72% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Uranium - values, historical data, forecasts and news - updated on July of 2025.
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The global commodity trading platform market size was valued at approximately USD 3.5 billion in 2023 and is expected to reach around USD 7.2 billion by 2032, growing at a CAGR of 8.2% from 2024 to 2032. This growth is driven by increasing digitalization, expanding global trade, and rising demand for efficient trading solutions. The digital transformation in trading activities, coupled with the need for real-time data and analytics, is propelling the adoption of advanced trading platforms across the globe.
One of the significant growth factors for the commodity trading platform market is the increasing adoption of digital technologies in trading activities. As the trading landscape becomes more complex and competitive, institutional and retail investors are seeking more sophisticated tools that can offer real-time data analysis, risk management, and automated trading capabilities. The integration of AI and machine learning in these platforms is further enhancing their efficiency and decision-making capabilities, thereby driving market growth.
Another crucial factor contributing to the market's expansion is the globalization of trade. With the world becoming increasingly interconnected, there is a growing need for platforms that can handle the complexities of international trading. These platforms offer features such as multi-currency support, compliance with regional regulations, and real-time tracking of global market trends, making them indispensable tools for traders operating on a global scale. Additionally, the rise in cross-border e-commerce and international investments is further fueling the demand for advanced commodity trading platforms.
The growing focus on sustainability and ethical trading practices is also influencing the market positively. As more investors and companies prioritize Environmental, Social, and Governance (ESG) criteria in their trading activities, there is a rising demand for platforms that can provide transparency and traceability in commodity sourcing and trading. This trend is particularly evident in the agriculture and energy sectors, where there is increasing scrutiny on the environmental and social impacts of trading activities.
The role of Derivatives And Commodities Brokerage is becoming increasingly pivotal in the commodity trading platform market. These brokerages act as intermediaries, facilitating trades between buyers and sellers in the commodities market. With the rise of digital trading platforms, brokerages are evolving to offer more sophisticated services, including real-time data analytics, risk management tools, and automated trading options. This evolution is crucial as it enables traders to navigate the complexities of the global commodities market more efficiently. The integration of AI and machine learning technologies by these brokerages is further enhancing their ability to provide tailored trading solutions, thereby attracting a broader range of clients from institutional to retail investors.
From a regional perspective, North America currently holds a significant share of the commodity trading platform market, driven by the presence of major market players and high adoption rates of advanced trading technologies. However, regions like Asia Pacific are expected to witness the highest growth rates during the forecast period. The rapid economic growth, expanding middle-class population, and increasing digital literacy in countries like China and India are key factors contributing to this regional growth. Moreover, the liberalization of trade policies and investment in digital infrastructure are further supporting the market's expansion in these regions.
The commodity trading platform market can be segmented by component into software and services. The software segment includes various types of platforms such as trading software, risk management software, and analytical tools. These software solutions are designed to provide traders with real-time data, automated trading options, and advanced analytical capabilities. The increasing complexity of trading activities and the need for high-speed transactions are driving the demand for sophisticated software solutions. Moreover, the integration of AI and machine learning technologies in trading software is enhancing their functionality and efficiency, making them more attractive to traders.
On the other hand, the s