Time series of major commodity prices and indices including iron, cooper, wheat, gold, oil. Data comes from the International Monetary Fund (IMF).All rights are reservedDataDataset contains Monthly prices for 53 commodities and 10 indexes, starting from 1980 to 2016, Last updated on march 17, 2016. The reference year for indexes are 2005 (meaning the value of indexes are 100 and all other values are relative to that year).LicenseThe IMF grants permission to visit its Sites and to download and copy information, documents, and materials from the Sites for personal, noncommercial usage only, without any right to resell or redistribute or to compile or create derivative works, subject to these Terms and Conditions of Usage and also subject to more specific restrictions that may apply to particular information within the Sites. Any rights not expressly granted herein are reserved.For more information please visit: Copyright and Usage.

Commodity Trading Platform Market Outlook

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.

Component Analysis

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.

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CRB Index fell to 368.57 Index Points on July 3, 2025, down 0.25% from the previous day. Over the past month, CRB Index's price has risen 1.49%, and is up 6.95% 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.

Commodity Trading, Transaction And Risk Management (CTRM) Software Market size was valued at USD 7.0 Billion in 2024 and is projected to reach USD 13.8 Billion by 2031, growing at a CAGR of 8.8% from 2024 to 2031.

Several essential variables drive the market for commodity trading, transaction, and risk management (CTRM) software. The rising complexity and volatility of global commodity markets necessitate the implementation of comprehensive risk, compliance, and transaction management systems. The increased demand for real-time data analytics and decision-making tools is driving the use of CTRM software, which allows businesses to improve their trading tactics and operational efficiency. Furthermore, regulatory challenges and the demand for increased transparency in commodity trading drive corporations to invest in sophisticated CTRM solutions. The digital transformation of businesses, as well as breakthroughs in technologies such as AI and blockchain, are increasing CTRM software capabilities and driving market growth. Finally, globalisation of commerce and the rise of commodity markets in emerging economies are opening up new prospects for CTRM software vendors.

The global Commodity Trading and Risk Management (CTRM) software market is experiencing robust growth, driven by increasing complexities in commodity trading, stringent regulatory compliance needs, and the growing adoption of cloud-based solutions. The market, estimated at $2 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reaching approximately $3.5 billion by 2033. This growth is fueled by several key factors. Firstly, the escalating volatility in commodity prices necessitates sophisticated software solutions for effective risk mitigation and price optimization. Secondly, the rise of digitalization and the increasing preference for cloud-based CTRM systems offer enhanced scalability, accessibility, and cost-effectiveness compared to traditional on-premise solutions. Thirdly, regulatory pressures, such as those related to transparency and reporting, are compelling trading firms to adopt advanced CTRM systems to ensure compliance. The market is segmented by application (large enterprises and SMEs) and deployment type (cloud-based and web-based), with cloud-based solutions gaining significant traction due to their inherent advantages. The competitive landscape is populated by a mix of established players and emerging technology providers, each offering specialized solutions catering to the diverse needs of the commodity trading industry. Geographically, North America currently holds a significant market share, but the Asia-Pacific region is expected to exhibit substantial growth in the coming years due to the expanding commodity markets and increasing technological adoption in developing economies. The competitive landscape is intensely dynamic, with established players like Murex and Triple Point Technology competing with agile newcomers offering innovative solutions. Successful vendors are focusing on integrating advanced analytics, AI-powered risk modeling, and blockchain technology to enhance the efficiency and accuracy of their CTRM offerings. The adoption of these advanced technologies will play a crucial role in shaping the future of the CTRM market, fostering innovation, and enhancing the overall capabilities of the software solutions available to commodity traders globally. Furthermore, the integration of CTRM systems with other enterprise resource planning (ERP) and supply chain management (SCM) systems is driving further growth, streamlining operations, and improving data visibility across the entire value chain. The market's future trajectory is promising, propelled by ongoing technological advancements and the ever-increasing need for effective risk management within the dynamic commodity trading landscape.

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.

This is the web map that is used within the Ohio Key Commodities Dashboard. The web map uses the JobsOhio District, JobsOhio District and State, ODOT District and State, and Ohio County layers. Data for the web map is derived from the Commodity Dataset (OD), ODOT District OD Pairs, JobsOhio District OD Pairs, Commodity Dataset (OD) 2018 tables.

Food Intakes Converted to Retail Commodities Databases (FICRCD) provide data for foods consumed in the United States national dietary intake surveys at the retail commodity level. The survey foods are converted into 65 retail-level commodities. The commodities are grouped into eight major categories: Dairy Products; Fats and Oils; Fruits; Grains; Meat, Poultry, Fish and Eggs; Nuts; Caloric Sweeteners; and Vegetables, Dry Beans and Legumes. The Food Intakes Converted to Retail Commodities Databases were jointly developed by USDA's Agricultural Research Service (ARS) and Economic Research Service (ERS) for the following six surveys: Continuing Survey of Food Intakes by Individuals 1994-1996 and 1998. National Health and Nutrition Examination Survey 1999-2000. What We Eat in America, National Health and Nutrition Examination Survey 2001-2002. What We Eat in America, National Health and Nutrition Examination Survey 2003-2004. What We Eat in America, National Health and Nutrition Examination Survey 2005-2006. What We Eat in America, National Health and Nutrition Examination Survey 2007-2008. Resources in this dataset:Resource Title: Food Intakes Converted to Retail Commodities Databases (FICRCD). File Name: Web Page, url: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/ficrcd-overview/ Web site of the Food Intakes Converted to Retail Commodities Databases (FICRCD), which provide data for foods consumed in the national dietary intake surveys at the retail commodity level. Provides links to Data Tables, Methodology and User Guide, and Factsheets.

Eggs US rose to 2.56 USD/Dozen on July 3, 2025, up 0.41% from the previous day. Over the past month, Eggs US's price has risen 0.79%, and is up 5.02% 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.

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.

Graph and download economic data for Producer Price Index by Commodity: Chemicals and Allied Products: News and Nonheat Web Offset Printing Inks (WPU0679091931) from Dec 2011 to May 2025 about printing, chemicals, commodities, PPI, inflation, price index, indexes, price, and USA.

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.

This paper studies the role of differences in the patterns of production and international trade on the business cycle volatility of emerging and developed economies. We study a multi-sector small open economy in which firms produce and trade commodities and manufactures. We estimate the model to match key cross-sectional and time-series differences across countries. Emerging economies run trade surpluses in commodities and trade deficits in manufactures, while sectoral trade flows are balanced in developed economies. We find that these differences amplify the response of emerging economies to commodity price fluctuations. We show evidence consistent with this mechanism using cross-country data.

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.

Graph and download economic data for Producer Price Index by Commodity: Pulp, Paper, and Allied Products: Single-Web Film, Rolls, and Sheets for Flexible Packaging Uses (WPU09130322A1) from Dec 2011 to May 2025 about flexible, paper, production, commodities, PPI, price index, indexes, price, and USA.

The Development Prospects Group increases understanding by providing analytical services to the World Bank and the wider development community. Pink sheets are produced monthly and provide monthly, quarterly and annual data on the latest world bank commodity prices for a list of different commodities.

Website: http://www.worldbank.org/en/research/commodity-markets

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.

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.

Graph and download economic data for Producer Price Index by Commodity: Pulp, Paper, and Allied Products: Coated and Laminated Single and Multi-Web Paper (WPU09130321) from Dec 1987 to May 2025 about paper, commodities, PPI, inflation, price index, indexes, price, and USA.

Project developed by Giovanni Federico (Università di Pisa) and Antonio Tena Junguito (Universidad Carlos III de Madrid). This data base outlines changes in world trade from 1800 to 2016. Dataset: International Commodity Prices Web site: https://www.uc3m.es/tradehist_db Microsoft Excel