100+ datasets found
  1. F

    Global Price Index of All Commodities

    • fred.stlouisfed.org
    json
    Updated Jul 18, 2025
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    (2025). Global Price Index of All Commodities [Dataset]. https://fred.stlouisfed.org/series/PALLFNFINDEXQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 18, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Global Price Index of All Commodities (PALLFNFINDEXQ) from Q1 2003 to Q2 2025 about World, commodities, price index, indexes, and price.

  2. Daily Wholesale Commodity Prices – India Mandis

    • kaggle.com
    Updated May 19, 2025
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    Ishan Katoch (2025). Daily Wholesale Commodity Prices – India Mandis [Dataset]. https://www.kaggle.com/datasets/ishankat/daily-wholesale-commodity-prices-india-mandis
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 19, 2025
    Dataset provided by
    Kaggle
    Authors
    Ishan Katoch
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    India
    Description

    This dataset aggregates daily wholesale price data for a wide spectrum of agricultural commodities traded across India’s regulated markets (mandis). It captures minimum, maximum, and modal prices, enabling detailed analysis of price dispersion and volatility over time. Data is sourced directly from the AGMARKNET portal and made available under the National Data Sharing and Accessibility Policy (NDSAP). With over 165,000 views and nearly 400,000 downloads, it’s a cornerstone resource for economists, agronomists, and data scientists studying India’s commodity markets.

    This dataset provides daily wholesale minimum, maximum, and modal prices for a wide variety of agricultural commodities across India’s mandis, sourced from the AGMARKNET portal and published on Data.gov.in under NDSAP, with records dating back to 2013 and updated as of 19 May 2025 via a REST API; it includes key fields like Arrival_Date, State, District, Market, Commodity, Variety, Min_Price, Max_Price, and Modal_Price, making it ideal for time-series analysis, price-trend visualizations, and commodity forecasting.

  3. T

    GSCI Commodity Index - Price Data

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Aug 10, 2025
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    TRADING ECONOMICS (2025). GSCI Commodity Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/gsci
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Aug 10, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1969 - Aug 8, 2025
    Area covered
    World
    Description

    GSCI fell to 538.01 Index Points on August 8, 2025, down 0.15% from the previous day. Over the past month, GSCI's price has fallen 2.52%, and is down 0.75% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. GSCI Commodity Index - values, historical data, forecasts and news - updated on August of 2025.

  4. T

    Corn - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 8, 2025
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    TRADING ECONOMICS (2025). Corn - Price Data [Dataset]. https://tradingeconomics.com/commodity/corn
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 1, 1912 - Aug 8, 2025
    Area covered
    World
    Description

    Corn fell to 383.01 USd/BU on August 8, 2025, down 0.39% from the previous day. Over the past month, Corn's price has fallen 4.07%, and is down 3.04% 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 August of 2025.

  5. Commodity Price Dataset

    • kaggle.com
    Updated Mar 7, 2019
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    The Aquarian Inventors (2019). Commodity Price Dataset [Dataset]. https://www.kaggle.com/TheAquarianInventor/commodity-price-dataset/kernels
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 7, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    The Aquarian Inventors
    Description

    Dataset: • Commodity Price Data. Eg. Commodity1_price.csv, Commodity2_price.csv, Commodity3_price.csv • Distance Matrix Data. Eg. Commodity1_matrix.csv, Commodity2_matrix.csv, Commodity3_matrix.csv

    Price dataset description: It is a time-series data of prices of a particular perishable, limited consumption good or commodity (let’s say C) reported in markets of a country. • Date: It’s the date commodity C was reported in the respective market. • Market: Market in which commodity C was reported. • State: State in which the corresponding market is situated. • Variety: Variety of commodity C reported. • Grade: Grade of commodity C reported. • Tonnage (Arrival): Tonnage of a crop that arrives at the market • Prices: MinimumPrice, ModalPrice, and MaximumPrice columns are the corresponding prices of commodity C for the date-state-market-variety-grade combination.

    The data has also been captured in form of combinatorial explosion matrix form. It contains market-varieties-grade combination as one cell in the matrix.

    Distance matrix description: It is a distance matrix of one state-market combination with every other state-market combination in KM. The files have a distance matrix, whose entries a(i,j) represent distance between two statemarkets statemarket[i] and statemarket[j] in KMs.

    Problem description: We have prices available reported for commodity C in different state and markets of the country. Our objective is to forecast the price of a commodity for a given date, state, market, variety, and grade.

    Data Properties: 1. Time Series Data 2. Multivariate and multidimensional: Data is multivariate because a lot of factors (features) is responsible for the price of products (labels). 3. Super Sparse Data 4. We believe that there exists a very high degree of correlation between the price of one market and prices in another market. 5. We believe that there may be a high correlation between the prices of different varieties of the same good in the same mandi.

  6. T

    Wheat - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 22, 2016
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    TRADING ECONOMICS (2016). Wheat - Price Data [Dataset]. https://tradingeconomics.com/commodity/wheat
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Oct 22, 2016
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 21, 1977 - Aug 8, 2025
    Area covered
    World
    Description

    Wheat fell to 515.50 USd/Bu on August 8, 2025, down 0.53% from the previous day. Over the past month, Wheat's price has fallen 5.76%, and is down 4.98% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Wheat - values, historical data, forecasts and news - updated on August of 2025.

  7. D

    Commodity Services Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 16, 2024
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    Dataintelo (2024). Commodity Services Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-commodity-services-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Commodity Services Market Outlook



    In 2023, the global commodity services market size was valued at approximately USD 12 billion and is projected to reach USD 18 billion by 2032, growing at a CAGR of 4.5% during the forecast period. The market's growth can be attributed to the increasing globalization of trade, advancements in technology, and heightened demand for risk management and advisory services in volatile markets. These factors are driving the market toward a sustainable growth trajectory.



    The primary growth factor for the commodity services market is the growing need for risk management in the face of fluctuating commodity prices. As global markets become more interconnected, the volatility in commodity prices has escalated, necessitating advanced risk management tools and services. Companies across various sectors, including agriculture, energy, and metals, are increasingly leveraging these services to mitigate risks and ensure market stability. These risk management services cover a broad spectrum, from hedging strategies using futures and options to more complex financial instruments.



    Another key driver is the technological advancements in commodity trading and brokerage services. The advent of sophisticated trading platforms and algorithms has revolutionized the commodity services market. These technologies enable faster transaction execution, enhanced data analytics, and improved market intelligence, thereby attracting more participants into the market. Furthermore, blockchain technology is being integrated for increased transparency and reduced fraud, which further boosts market confidence and participation.



    The increasing demand for specialized research and advisory services also fuels the market's growth. With the complexity of global markets, businesses seek in-depth market analysis, trend forecasting, and strategic advice to make informed decisions. Research and advisory firms provide valuable insights into market dynamics, regulatory changes, and economic indicators, helping companies navigate the intricate landscape of commodity trading. This service segment is seeing robust growth as companies become more dependent on expert guidance to optimize their trading strategies.



    Regionally, North America holds a significant share of the commodity services market, driven by its well-established financial markets and advanced technological infrastructure. The region's dominance is expected to continue, supported by the presence of major commodity exchanges and brokerage firms. Meanwhile, the Asia Pacific region is experiencing the fastest growth, primarily due to expanding industrial activities and increasing participation in global trade. The burgeoning economies of China and India, in particular, are key contributors to this regional growth, with their rising demand for various commodities.



    Trading and Brokerage Analysis



    The trading and brokerage segment is a cornerstone of the commodity services market, providing essential platforms and services for buying and selling various commodities. This segment has evolved significantly with the advent of electronic trading platforms that offer real-time market data, automated trading systems, and enhanced connectivity across global markets. These platforms have democratized access to commodity trading, allowing even small and medium-sized enterprises to participate actively.



    In recent years, the role of brokerage firms has expanded beyond mere transaction facilitation to providing comprehensive market analysis, trading recommendations, and personalized investment strategies. Brokerage firms are now leveraging advanced analytics and big data to offer tailored solutions to their clients, enhancing their decision-making capabilities. This trend is particularly prominent in the energy and metals sectors, where market dynamics are highly complex and require specialized expertise.



    Moreover, the integration of blockchain technology is poised to transform the trading and brokerage landscape. Blockchain offers unparalleled transparency and security, reducing the risk of fraud and ensuring the integrity of transactions. Several commodity exchanges and brokerage firms are already piloting blockchain-based platforms, which could set a new standard for the industry. This technological shift is expected to attract more institutional investors, further boosting market liquidity and stability.



    The trading and brokerage segment also faces challenges, particularly in terms of regulatory compliance and cybersecurity. With increasi

  8. Gas prices around the world 2022

    • statista.com
    Updated Jun 22, 2022
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    Statista Research Department (2022). Gas prices around the world 2022 [Dataset]. https://www.statista.com/study/110874/commodity-prices-worldwide/
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    Dataset updated
    Jun 22, 2022
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    At 3.82 U.S. dollars per gallon in October 2022, regular all formulation retail gasoline prices in the United States were considerably lower than in Hong Kong or the Central African Republic, which reported the highest gasoline prices in the world at the end of October 2022. Norway also ranked high this year. Its high gasoline prices might be one of the reasons why the country is leading the charge towards electric mobility. Gas prices in selected countries worldwide Fuel prices in different countries range from a few cents to almost two U.S. dollars per liter. Gasoline is often regarded as a key driver of a country’s economy, as it is the main fuel used in passenger vehicles and the automotive fleets of small and large businesses. The United States is one of the biggest consumers of gasoline on a per capita basis, with approximately 356 gallons of gasoline per person in 2020. Fuel prices respond to crude oil price changes One of the liquid’s main ingredients is crude oil. The spot prices of publicly traded crudes, such as U.S.-sourced WTI (West Texas Intermediate), UK Brent, and the OPEC basket grades, are highly volatile and have proven prone to inflation as of late, most recently due to the novel coronavirus outbreak in China, blockages in the Suez Canal, and the Russian invasion of Ukraine. Where access to oil is limited, this volatility may spur a shift towards alternative propulsion systems and fuels among a growing number of vehicle drivers. Affordability of fuel Gas prices in Europe are counted among the highest worldwide. At 7.6 U.S. dollars per gallon or more, gasoline is particularly expensive in Iceland, Norway, Denmark, Greece, Finland, and the Netherlands. Car drivers in Mozambique and Madagascar feel the most pain at the pump. Some 145.7 percent of a month's wages are needed to fill up a tank in Mozambique. The low affordability of fuel is due to weak currencies, limited wage growth, and a level of prosperity that is yet to meet other markets' standards. The high price in countries such as the Netherlands and Norway is largely attributable to taxes. Other factors driving gas prices include local demand, processing and distribution costs, and the aforementioned level of crude oil prices.

  9. Real Time Commodities Pricing Data

    • lseg.com
    Updated Nov 25, 2024
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    LSEG (2024). Real Time Commodities Pricing Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/commodities-data/real-time-commodities-pricing-data
    Explore at:
    csv,delimited,gzip,json,python,user interface,xml,zip archiveAvailable download formats
    Dataset updated
    Nov 25, 2024
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    Real-time commodities pricing data allows you to grasp where the market is, was and will be – from exchange data and OTC prices to specialist fundamentals.

  10. m

    Commodity Prices

    • data.mendeley.com
    Updated Nov 25, 2018
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    NARAYAN PARAB (2018). Commodity Prices [Dataset]. http://doi.org/10.17632/fhvm6rscw8.1
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    Dataset updated
    Nov 25, 2018
    Authors
    NARAYAN PARAB
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Prices of commodity and stock index.

  11. Live Grain Commodity Prices

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Aug 1, 2025
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    IndexBox Inc. (2025). Live Grain Commodity Prices [Dataset]. https://www.indexbox.io/search/live-grain-commodity-prices/
    Explore at:
    docx, xlsx, pdf, xls, docAvailable download formats
    Dataset updated
    Aug 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Aug 11, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Learn about live grain commodity prices and how they impact the cost of production for farmers and the price consumers pay for food products. Track these prices on exchanges like CME, ICE, and MGEX to monitor broader trends in the agricultural industry.

  12. I

    India Commodity Index: Multi Commodity Exchange of India: Future Price:...

    • ceicdata.com
    Updated Mar 26, 2025
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    CEICdata.com (2025). India Commodity Index: Multi Commodity Exchange of India: Future Price: Agriculture [Dataset]. https://www.ceicdata.com/en/india/commodity-index/commodity-index-multi-commodity-exchange-of-india-future-price-agriculture
    Explore at:
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 14, 2018 - Nov 29, 2018
    Area covered
    India
    Description

    Commodity Index: Multi Commodity Exchange of India: Future Price: Agriculture data was reported at 2,854.700 2001=1000 in 10 Dec 2018. This records an increase from the previous number of 2,831.800 2001=1000 for 07 Dec 2018. Commodity Index: Multi Commodity Exchange of India: Future Price: Agriculture data is updated daily, averaging 2,200.475 2001=1000 from Jun 2005 (Median) to 10 Dec 2018, with 3904 observations. The data reached an all-time high of 3,716.580 2001=1000 in 16 Apr 2012 and a record low of 1,277.850 2001=1000 in 28 Jun 2005. Commodity Index: Multi Commodity Exchange of India: Future Price: Agriculture data remains active status in CEIC and is reported by Multi Commodity Exchange of India. The data is categorized under India Premium Database’s Financial Market – Table IN.ZF004: Commodity Index.

  13. Grain Commodity Prices

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Aug 1, 2025
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    IndexBox Inc. (2025). Grain Commodity Prices [Dataset]. https://www.indexbox.io/search/grain-commodity-prices/
    Explore at:
    xlsx, xls, docx, doc, pdfAvailable download formats
    Dataset updated
    Aug 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Aug 4, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Learn about the various factors that influence grain commodity prices, including supply and demand, weather patterns, transportation costs, and government policies. Gain insight into how traders and analysts make predictions about price movements and why understanding these factors is crucial for farmers, traders, and consumers.

  14. Dairy Commodity Prices

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Aug 1, 2025
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    IndexBox Inc. (2025). Dairy Commodity Prices [Dataset]. https://www.indexbox.io/search/dairy-commodity-prices/
    Explore at:
    xlsx, doc, pdf, xls, docxAvailable download formats
    Dataset updated
    Aug 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Aug 6, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Learn about the various factors that impact dairy commodity prices, including supply and demand, trade policies, and weather conditions, and how they affect the prices of milk, cheese, butter, and whey protein on commodity exchanges around the world.

  15. Global Indices Data | Commodity Prices | Macroeconomic Indices | Currency...

    • datarade.ai
    Updated Dec 16, 2024
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    Cbonds (2024). Global Indices Data | Commodity Prices | Macroeconomic Indices | Currency Data | 40K Indices [Dataset]. https://datarade.ai/data-products/cbonds-indices-data-api-global-coverage-40-000-indices-cbonds
    Explore at:
    .json, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Dec 16, 2024
    Dataset authored and provided by
    Cbondshttps://cbonds.com/
    Area covered
    Bosnia and Herzegovina, Georgia, Czech Republic, Panama, El Salvador, Ecuador, Myanmar, Philippines, Sierra Leone, Burundi
    Description

    Cbonds collects and normalizes indices data, offering daily updated and historical data on over 40,000 indices, including macroeconomic indicators, yield curves and spreads, currency markets, stock and funds markets, and commodities. Using the Indices API, you can access an index's holdings, such as its assets, sectors, and weight, as well as basic data on the asset. You can obtain end-of-day, and historical API indicator prices in CSV, XLS, and JSON formats. Cbonds provides a free Indices API for a limited test period of two weeks or for a longer period with a limited number of instruments.

  16. T

    Coffee - Price Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 7, 2025
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    TRADING ECONOMICS (2025). Coffee - Price Data [Dataset]. https://tradingeconomics.com/commodity/coffee
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Aug 7, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 16, 1972 - Aug 8, 2025
    Area covered
    World
    Description

    Coffee rose to 308.71 USd/Lbs on August 8, 2025, up 3.90% from the previous day. Over the past month, Coffee's price has risen 8.00%, and is up 32.55% compared to the same time last year, 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 August of 2025.

  17. C

    Commodity Trading Services Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 14, 2025
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    Archive Market Research (2025). Commodity Trading Services Report [Dataset]. https://www.archivemarketresearch.com/reports/commodity-trading-services-57369
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 14, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global commodity trading services market is experiencing robust growth, driven by increasing globalization, fluctuating commodity prices, and the need for efficient supply chain management. The market size in 2025 is estimated at $2 trillion, exhibiting a Compound Annual Growth Rate (CAGR) of 6% between 2025 and 2033. This growth is fueled by several key factors. Firstly, the rising demand for raw materials across various sectors, including metals, energy, and agriculture, is creating lucrative opportunities for commodity trading firms. Secondly, technological advancements in areas like data analytics and blockchain technology are improving transparency, efficiency, and risk management within commodity trading, further stimulating market expansion. Finally, the increasing complexity of global supply chains necessitates the expertise of specialized commodity traders to navigate market volatility and ensure secure and timely delivery of goods. The market is segmented by commodity type (metals, energy, agricultural, and others) and by the size of the businesses served (large enterprises and SMEs). While large enterprises dominate the market currently, the SME segment shows strong potential for future growth as businesses increasingly rely on external expertise for commodity sourcing. The geographical distribution of the commodity trading services market is diverse, with North America, Europe, and Asia Pacific representing the major regions. However, emerging markets in Asia and Africa are showing significant growth potential due to rapid industrialization and rising consumer demand. Competitive pressures within the industry are high, with numerous large multinational corporations vying for market share. These companies, including Vitol, Glencore, Trafigura, Mercuria, and Cargill, possess extensive global networks, strong financial capabilities, and deep expertise in risk management, allowing them to dominate the market. Nevertheless, smaller, specialized trading firms are also finding success by focusing on niche markets or employing innovative trading strategies. The overall outlook for the commodity trading services market remains optimistic, with continued growth expected over the coming years, albeit with some potential challenges related to geopolitical instability and regulatory changes.

  18. Daily stock price indexes of food commodities 2020-2025

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Daily stock price indexes of food commodities 2020-2025 [Dataset]. https://www.statista.com/statistics/1343824/daily-stock-price-indexes-of-food-commodities/
    Explore at:
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2, 2020 - Feb 6, 2025
    Area covered
    Worldwide
    Description

    This statistic shows the stock prices of selected food commodities from January 2, 2020 to February 6, 2025. After the Russian invasion of Ukraine in February 2022, wheat prices increased significantly since both Russia and Ukraine are the key suppliers of the product. With the beginning of 2023, prices of selected food commodities started to decrease, but still stood higher than early-2020 levels.

  19. F

    Producer Price Index by Commodity: Farm Products

    • fred.stlouisfed.org
    json
    Updated Jul 16, 2025
    + more versions
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    (2025). Producer Price Index by Commodity: Farm Products [Dataset]. https://fred.stlouisfed.org/series/WPU01
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Commodity: Farm Products (WPU01) from Jan 1913 to Jun 2025 about agriculture, commodities, PPI, inflation, price index, indexes, price, and USA.

  20. Crude Commodity Price Today

    • indexbox.io
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    Updated Jul 1, 2025
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    IndexBox Inc. (2025). Crude Commodity Price Today [Dataset]. https://www.indexbox.io/search/crude-commodity-price-today/
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    pdf, doc, docx, xlsx, xlsAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Jul 1, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Crude commodity prices refer to the rates at which crude oil is being traded in various markets. Today, the price of Brent crude oil is $60 per barrel, while the price of WTI crude oil is $58 per barrel. Factors such as supply and demand dynamics, geopolitical tensions, and economic indicators influence these prices, which are subject to constant fluctuations. Traders and investors closely monitor crude commodity prices to make informed decisions and assess market trends.

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Click to copy link
Link copied
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(2025). Global Price Index of All Commodities [Dataset]. https://fred.stlouisfed.org/series/PALLFNFINDEXQ

Global Price Index of All Commodities

PALLFNFINDEXQ

Explore at:
75 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jul 18, 2025
License

https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

Description

Graph and download economic data for Global Price Index of All Commodities (PALLFNFINDEXQ) from Q1 2003 to Q2 2025 about World, commodities, price index, indexes, and price.

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