100+ datasets found
  1. F

    Global Price Index of All Commodities

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
    + more versions
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    (2025). Global Price Index of All Commodities [Dataset]. https://fred.stlouisfed.org/series/PALLFNFINDEXQ
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    jsonAvailable download formats
    Dataset updated
    Jun 26, 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 Q1 2025 about World, commodities, price index, indexes, and price.

  2. s

    Selected International Commodity Prices

    • pacific-data.sprep.org
    • pacificdata.org
    Updated Jul 18, 2025
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    SPC (2025). Selected International Commodity Prices [Dataset]. https://pacific-data.sprep.org/dataset/selected-international-commodity-prices
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    application/vnd.sdmx.data+csv; labels=name; version=2; charset=utf-8Available download formats
    Dataset updated
    Jul 18, 2025
    Dataset provided by
    Pacific Data Hub
    Authors
    SPC
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Description

    Nominal prices in USD for selected key international commodity prices relevant to Pacific Island Countries and Territories, extracted from World bank Commodity Prices (« pink sheets ») and from FAO GLOBEFISH European Fish Price Report.

    Find more Pacific data on PDH.stat.

  3. 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.

  4. Gas prices around the world 2022

    • statista.com
    • ai-chatbox.pro
    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.

  5. 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
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    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

  6. T

    CRB Commodity Index - Price Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated May 27, 2017
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    TRADING ECONOMICS (2017). CRB Commodity Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/crb
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    May 27, 2017
    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
    Jan 3, 1994 - Jul 15, 2025
    Area covered
    World
    Description

    CRB Index fell to 372.51 Index Points on July 15, 2025, down 0.22% from the previous day. Over the past month, CRB Index's price has fallen 2.07%, but it is still 10.80% higher than a year ago, 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.

  7. T

    Wheat - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 18, 2025
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    TRADING ECONOMICS (2025). Wheat - Price Data [Dataset]. https://tradingeconomics.com/commodity/wheat
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Jul 18, 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
    Sep 21, 1977 - Jul 18, 2025
    Area covered
    World
    Description

    Wheat rose to 548.37 USd/Bu on July 18, 2025, up 2.79% from the previous day. Over the past month, Wheat's price has fallen 4.30%, but it is still 1.04% higher than a year ago, 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 July of 2025.

  8. T

    Nickel - Price Data

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 26, 2017
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    TRADING ECONOMICS (2017). Nickel - Price Data [Dataset]. https://tradingeconomics.com/commodity/nickel
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    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    May 26, 2017
    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
    Jul 20, 1993 - Jul 18, 2025
    Area covered
    World
    Description

    Nickel fell to 15,065.25 USD/T on July 18, 2025, down 0.10% from the previous day. Over the past month, Nickel's price has risen 0.17%, but it is still 7.33% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Nickel - values, historical data, forecasts and news - updated on July of 2025.

  9. C

    Commodities Trading Services Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 18, 2025
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    Market Research Forecast (2025). Commodities Trading Services Report [Dataset]. https://www.marketresearchforecast.com/reports/commodities-trading-services-39136
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

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

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

    The global commodities trading services market, valued at $4226.9 million in 2025, is projected to experience robust growth, driven by increasing global demand for raw materials across various sectors. The 5.5% CAGR from 2025 to 2033 indicates a significant expansion, fueled by several key factors. Growth in emerging economies, particularly in Asia-Pacific, is a primary driver, coupled with rising industrialization and infrastructure development. The energy sector, encompassing oil, gas, and related products, is expected to dominate the market, followed by metals trading. However, increasing regulatory scrutiny and price volatility in commodity markets represent key challenges. Furthermore, the agricultural commodities segment is poised for considerable growth due to population increases and shifting dietary patterns. The market is segmented by type (metals, energy, agricultural, and others) and application (large enterprises and SMEs), with large enterprises currently dominating. Competitive dynamics are shaped by the presence of major players like Vitol, Glencore, and Trafigura, all vying for market share through strategic partnerships, technological advancements, and geographical expansion. The increasing adoption of digital technologies for efficient trading and risk management is further shaping the market landscape. The forecast period (2025-2033) reveals substantial growth opportunities across all segments. The North American and European markets are established strongholds, but significant expansion is anticipated in Asia-Pacific, driven by China and India's burgeoning economies. The market's future hinges on several factors, including geopolitical stability, technological innovation in trading platforms, and the implementation of sustainable practices across the commodity supply chain. Effective risk management strategies and adaptation to evolving regulatory frameworks will be critical for success in this dynamic market. Companies are focusing on enhancing their logistical capabilities and strengthening their relationships with producers and consumers to secure a competitive edge. The focus on sustainability and responsible sourcing will play an increasingly important role in shaping the future of the commodities trading services market.

  10. 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
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    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.

  11. Change in price of key commodities for food following Brexit United Kingdom...

    • statista.com
    Updated Aug 1, 2016
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    Statista (2016). Change in price of key commodities for food following Brexit United Kingdom (UK) 2016 [Dataset]. https://www.statista.com/statistics/680700/change-in-commodity-prices-after-brexit-united-kingdom-uk/
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    Dataset updated
    Aug 1, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    United Kingdom
    Description

    This statistic shows the percentage change in price of key commodities for the food industry for the weeks following the Brexit referendum in the United Kingdom (UK) in 2016. Coffee Robusta experienced the sharpest increases in price at **** percent, followed by chicken at **** percent.

  12. O

    OTC Commodity Trading Platform Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Jun 1, 2025
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    Archive Market Research (2025). OTC Commodity Trading Platform Report [Dataset]. https://www.archivemarketresearch.com/reports/otc-commodity-trading-platform-559986
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Jun 1, 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 Over-the-Counter (OTC) Commodity Trading Platform market is experiencing robust growth, driven by increasing demand for efficient and transparent trading solutions. The market's size in 2025 is estimated at $150 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033. This growth is fueled by several key factors, including the rising adoption of electronic trading platforms, increasing globalization of commodity markets, and the growing need for sophisticated risk management tools among both institutional and retail investors. Furthermore, the integration of advanced technologies such as artificial intelligence and machine learning is enhancing trading efficiency and facilitating data-driven decision-making, further boosting market expansion. The increasing volatility in commodity prices also necessitates the use of efficient OTC platforms for hedging and speculation, contributing to the market's positive growth trajectory. Several key segments within the OTC Commodity Trading Platform market are contributing to this expansion. These include energy commodities (crude oil, natural gas), precious metals (gold, silver, platinum), and agricultural commodities (corn, wheat, soybeans). The market's geographical spread is also significant, with North America, Europe, and Asia-Pacific representing key regional hubs. Leading players in this dynamic market landscape include GAIN Global Markets Inc., AxiTrader Limited, LMAX Global, IG Group, CMC Markets, Saxo Bank, Ibg Holdings, L.L.C., City Index, XXZW Investment Group SA, eToro, and StoneX, each vying for market share through product innovation and strategic partnerships. The competitive landscape is characterized by ongoing technological advancements and a focus on providing clients with enhanced trading experiences. The forecast period of 2025-2033 suggests continuous expansion, albeit at a potentially moderating pace as the market matures.

  13. C

    Commodity Trading Services Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 26, 2025
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    Data Insights Market (2025). Commodity Trading Services Report [Dataset]. https://www.datainsightsmarket.com/reports/commodity-trading-services-1946249
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    May 26, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    The global commodity trading services market is a highly concentrated industry dominated by major players like Vitol, Glencore, Trafigura, and Cargill. While precise market sizing data is absent, industry reports suggest a substantial market valued in the hundreds of billions of dollars annually. A conservative estimate, based on typical industry growth rates and publicly available information regarding the largest players' revenues, places the 2025 market size at approximately $500 billion. This sector is characterized by a moderate Compound Annual Growth Rate (CAGR), projected to be around 4-5% from 2025 to 2033, driven primarily by increasing global demand for raw materials, particularly in emerging economies experiencing rapid industrialization. Key trends include the increasing adoption of digital technologies to improve efficiency and transparency across the supply chain, a focus on sustainability and ethical sourcing practices responding to growing environmental concerns, and the ongoing consolidation of market participants through mergers and acquisitions. However, the market faces constraints such as geopolitical instability, volatile commodity prices, and increasing regulatory scrutiny related to environmental, social, and governance (ESG) factors. Segmentation within the commodity trading services market is diverse, encompassing energy (oil, gas, power), agricultural products (grains, soft commodities, livestock), metals, and minerals. Each segment exhibits unique growth dynamics influenced by specific supply and demand factors. The energy segment remains the largest, although the agricultural and metals segments are also significant and projected to experience growth fueled by population growth and infrastructure development. The competitive landscape, characterized by intense competition among established players, also presents opportunities for specialized niche traders and technology-driven startups offering innovative solutions to optimize trading processes and improve risk management. Growth in the coming years will be strongly influenced by factors such as economic recovery patterns following recent global instability, emerging market growth, and government policy.

  14. C

    Commodity Hedging Solution Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 30, 2025
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    Data Insights Market (2025). Commodity Hedging Solution Report [Dataset]. https://www.datainsightsmarket.com/reports/commodity-hedging-solution-1394696
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    The Commodity Hedging Solutions market is experiencing robust growth, driven by increasing price volatility in raw materials and a heightened need for risk management among businesses involved in commodity trading. The market, estimated at $15 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 8% between 2025 and 2033, reaching approximately $28 billion by 2033. This growth is fueled by several factors, including the rising adoption of sophisticated hedging strategies, technological advancements in risk management software, and growing regulatory pressure on businesses to mitigate financial risks associated with commodity price fluctuations. Key players like DBS Corporate Banking, Marex, and others are driving innovation in this space by offering tailored solutions and leveraging advanced analytics to improve forecasting accuracy. The market segmentation shows significant opportunities across various commodity types (energy, metals, agricultural products), with the energy sector currently dominating. However, increasing demand for sustainable and ethically sourced commodities is driving growth in the agricultural segment. Geographic expansion is also a prominent trend, with emerging markets in Asia and Africa showing particularly strong growth potential due to expanding commodity production and trade. While regulatory changes and potential economic downturns could pose challenges, the long-term outlook for the Commodity Hedging Solutions market remains positive, supported by the fundamental need for risk mitigation in the face of volatile commodity markets. Technological disruptions are also likely to impact the space, especially in areas such as AI-powered predictive modeling and blockchain-based transaction security.

  15. Nickel Commodity Price

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jul 1, 2025
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    IndexBox Inc. (2025). Nickel Commodity Price [Dataset]. https://www.indexbox.io/search/nickel-commodity-price/
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    xls, doc, xlsx, docx, pdfAvailable 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 14, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    The price of nickel is influenced by supply and demand dynamics, trade policies, macroeconomic factors, and environmental regulations. This article explores the factors affecting nickel prices and key trends in the market, including the impact of the EV revolution and the shift towards renewable energy. Investors and industry players are advised to closely monitor these developments in order to navigate the nickel commodity market effectively.

  16. 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/
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    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.

  17. C

    Commodities Trading Services Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 25, 2025
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    Data Insights Market (2025). Commodities Trading Services Report [Dataset]. https://www.datainsightsmarket.com/reports/commodities-trading-services-1452447
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    The global commodities trading services market, valued at $4.34 billion in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 5.7% from 2025 to 2033. This expansion is fueled by several key factors. Firstly, the increasing globalization of trade and the interconnectedness of global supply chains necessitates sophisticated commodities trading services to manage risk and optimize efficiency. Secondly, the growing demand for raw materials across diverse sectors, including energy (driven by increased energy consumption and the transition to cleaner energy sources), metals (fueled by infrastructure development and industrial growth), and agriculture (due to rising global population and changing dietary habits), fuels market expansion. Furthermore, technological advancements, such as the adoption of AI and machine learning for predictive analytics and risk management, are enhancing the efficiency and profitability of commodities trading operations. The market is segmented by application (large enterprises and SMEs) and commodity type (metals, energy, agricultural, and others), with large enterprises currently dominating due to their higher trading volumes and sophisticated risk management needs. Leading players include Vitol Group, Glencore, Trafigura Group, and others, who are constantly seeking to expand their global footprint and diversify their offerings. The market's growth, however, is not without challenges. Geopolitical instability, fluctuating commodity prices, and stringent regulations pose significant risks to market players. The increasing focus on sustainability and environmental concerns also impacts trading practices, necessitating the adoption of more ethical and environmentally responsible sourcing and trading strategies. Competition within the market is intense, with established players facing challenges from new entrants leveraging technological advancements. Despite these challenges, the long-term outlook for the commodities trading services market remains positive, driven by the continuous demand for efficient and reliable trading solutions across various commodities and global markets. Regional variations are expected, with North America and Asia-Pacific anticipated to maintain significant market shares due to their robust economic activity and substantial commodity consumption.

  18. Soybean Commodity Price

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated May 1, 2025
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    IndexBox Inc. (2025). Soybean Commodity Price [Dataset]. https://www.indexbox.io/search/soybean-commodity-price/
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    xls, pdf, doc, xlsx, docxAvailable download formats
    Dataset updated
    May 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 - May 31, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Explore the key factors influencing soybean commodity prices, including weather patterns, international trade dynamics, and growing demand for protein and biodiesel. Understanding these elements is vital for stakeholders in agriculture, trading, and investment sectors.

  19. Coffee-commodity price and 5 company stocks

    • kaggle.com
    Updated May 10, 2024
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    Wei Hutchinson (2024). Coffee-commodity price and 5 company stocks [Dataset]. https://www.kaggle.com/datasets/weihutchinson/coffee-commodity-price-and-5-company-stocks
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 10, 2024
    Dataset provided by
    Kaggle
    Authors
    Wei Hutchinson
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Overview This comprehensive dataset offers an in-depth look at the financial performance of five major entities within the coffee industry from 2014 to 2024 (up to May 8, 2024). Included are stock prices of Keurig Dr Pepper, Starbucks, J.M. Smucker, Luckin Coffee, and Nestlé, paired with the corresponding periodical commodity prices for coffee. This data facilitates robust analyses including time series analysis, correlation studies, volatility analysis, and Vector Autoregression (VAR) analysis.

    Key Companies Profiled Keurig Dr Pepper (KDP) and J.M. Smucker: These companies are leaders in the North American coffee market, known for their extensive portfolios of coffee products. Their data can provide insights into market strategies and financial health in response to fluctuating coffee prices. Starbucks: As a global leader in coffee retail, Starbucks' data reflects trends in consumer coffee consumption worldwide, offering a unique view of the retail sector's dynamics. Luckin Coffee: Representing a rapidly growing market, Luckin Coffee's data highlights the expansion and consumer trends within the Chinese coffee market. Nestlé: This global giant provides a broader perspective on how multinational food and beverage companies adapt to global commodity price changes, with a particular focus on coffee.

    Applications of the Dataset This dataset is ideal for researchers, economists, and data scientists interested in: Market Trend Analysis: Understand how global events and market forces influence coffee prices and, in turn, affect company stocks. Consumer Behaviour Studies: Analyse consumption patterns across different regions, especially with a focus on the burgeoning Asian markets. Risk Management and Forecasting: Develop models to predict future trends and prepare risk management strategies for companies within the food and beverage sector. Sustainability Studies: Explore how price volatility relates to environmental factors and sustainability initiatives.

  20. o

    Gold Commodity News Sentiment Analysis Dataset

    • opendatabay.com
    .undefined
    Updated Jul 3, 2025
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    Datasimple (2025). Gold Commodity News Sentiment Analysis Dataset [Dataset]. https://www.opendatabay.com/data/ai-ml/23036071-1e77-4759-bafa-2a1e931410cc
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    .undefinedAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Datasimple
    Area covered
    Mental Health & Wellness
    Description

    This dataset is designed for the commodity market, featuring over 10,000 manually annotated news headlines. It aims to provide deep insights into news sentiment and its implications for commodity prices. The headlines were collected from various news sources and evaluated by three subject experts over a period of more than 20 years, from 2000 to 2021. Each news item has been assessed across multiple dimensions, including implied price direction (up, down, or constant), whether the news discusses past or future events, and if it involves asset comparisons. This dataset is particularly valuable for developing machine learning models that can understand commodity news, which can then serve as an additional input for both short-term and long-term price forecasting models. It is also useful for creating news-based indicators for commodities. Researchers focused on text analytics and classification problems will find this dataset beneficial, although some classes are highly imbalanced, which may present challenges for machine learning algorithms.

    Columns

    The dataset includes the following columns:

    • Dates: The date of the news headline.
    • URL: The URL where the news headline was published.
    • News: The actual news headline text.
    • Price Direction Up: A binary indicator (1 for Yes, 0 for No) if the news headline suggests an increase in price.
    • Price Direction Constant: A binary indicator (1 for Yes, 0 for No) if the news headline suggests a stable price (no change).
    • Price Direction Down: A binary indicator (1 for Yes, 0 for No) if the news headline suggests a decrease in price.
    • Asset Comparison: A binary indicator (1 for Yes, 0 for No) if the news headline compares different assets.
    • Past Information: A binary indicator (1 for Yes, 0 for No) if the news headline refers to past events.
    • Future Information: A binary indicator (1 for Yes, 0 for No) if the news headline refers to future events.
    • Price Sentiment: The overall sentiment of the gold commodity price based on the headline, categorised as positive, negative, or other.

    Distribution

    The dataset contains over 10,000 unique news headlines and corresponding metadata. Data files are typically provided in CSV format. Key distribution statistics for some dimensions are as follows:

    • Dates: 3,761 unique values.
    • URL: 10,570 unique values.
    • News: 10,570 unique values.
    • Price Direction Up: 6,158 headlines do not imply up, 4,412 imply up.
    • Price Direction Constant: 10,126 headlines do not imply constant, 444 imply constant.
    • Price Direction Down: 6,658 headlines do not imply down, 3,912 imply down.
    • Asset Comparison: 8,569 headlines do not compare assets, 2,001 compare assets.
    • Past Information: 318 headlines do not discuss past information, 10,252 discuss past information.
    • Future Information: 10,251 headlines do not discuss future information, 319 discuss future information.
    • Price Sentiment: Approximately 42% positive, 36% negative, and 22% other sentiment.

    Usage

    This dataset is ideally suited for:

    • Developing machine learning models that understand commodity news for price forecasting.
    • Creating news-based indicators for commodity markets.
    • Evaluating text classification models in the context of news analytics.
    • Research into the impact of news on commodity market volatility.

    Coverage

    The dataset has a global regional coverage. It spans a significant time range of over 20 years, from 2000 to 2021, with headlines collected across this period. There are no specific demographic notes beyond the focus on gold commodity news.

    License

    CC-BY-NC

    Who Can Use It

    This dataset is primarily intended for:

    • Researchers and practitioners specialising in news analytics for commodities, who can leverage it for building predictive models.
    • Data scientists and machine learning engineers working on text classification and natural language processing tasks, especially those dealing with imbalanced datasets.
    • Financial analysts and market strategists interested in incorporating news sentiment into their commodity market analysis.

    Dataset Name Suggestions

    • Gold News Sentiment Analysis Dataset
    • Commodity Market News Classifier
    • Financial News Headline Sentiment
    • Gold Price Direction News Data
    • Annotated Commodity News for ML

    Attributes

    Original Data Source: Sentiment Analysis of Commodity News (Gold)

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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

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80 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jun 26, 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 Q1 2025 about World, commodities, price index, indexes, and price.

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