100+ datasets found
  1. Daily Market Prices of Commodity India (2001-2025)

    • kaggle.com
    zip
    Updated Nov 8, 2025
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    Manas Khandelwal (2025). Daily Market Prices of Commodity India (2001-2025) [Dataset]. https://www.kaggle.com/datasets/khandelwalmanas/daily-commodity-prices-india
    Explore at:
    zip(1487026257 bytes)Available download formats
    Dataset updated
    Nov 8, 2025
    Authors
    Manas Khandelwal
    Area covered
    India
    Description

    Daily market prices of agricultural commodities across India from 2001-2025. Contains 75+ million records covering 374 unique commodities and 1,504 varieties from various mandis (wholesale markets). Commodity Like: Vegetables, Fruits, Grains, Spices, etc.

    Cleaned, deduplicated, and sorted by date and commodity for analysis.

    Column Schema

    ColumnDescriptionDescription
    StateName of the Indian state where the market is locatedprovince
    DistrictName of the district within the state where the market is locatedcity
    MarketName of the specific market (mandi) where the commodity is tradedstring
    CommodityName of the agricultural commodity being tradedstring
    VarietySpecific variety or type of the commoditystring
    GradeQuality grade of the commodity (e.g., FAQ, Medium, Good)string
    Arrival_DateThe date of the price recording, in unambiguous ISO 8601 format (YYYY-MM-DD).datetime
    Min_PriceMinimum price of the commodity on the given date (in INR per quintal)decimal
    Max_PriceMaximum price of the commodity on the given date (in INR per quintal)decimal
    Modal_PriceModal (most frequent) price of the commodity on the given date (in INR per quintal)decimal
    Commodity_CodeUnique code identifier for the commoditynumeric

    Data sourced from the Government of India's Open Data Platform.

    License: Government Open Data License - India (GODL-India) https://www.data.gov.in/Godl

  2. F

    Global Price Index of All Commodities

    • fred.stlouisfed.org
    json
    Updated Jul 18, 2025
    + more versions
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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.

  3. US Stock Market and Commodities Data (2020-2024)

    • kaggle.com
    Updated Sep 1, 2024
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    Muhammad Ehsan (2024). US Stock Market and Commodities Data (2020-2024) [Dataset]. https://www.kaggle.com/datasets/muhammadehsan02/us-stock-market-and-commodities-data-2020-2024
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 1, 2024
    Dataset provided by
    Kaggle
    Authors
    Muhammad Ehsan
    License

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

    Description

    The US_Stock_Data.csv dataset offers a comprehensive view of the US stock market and related financial instruments, spanning from January 2, 2020, to February 2, 2024. This dataset includes 39 columns, covering a broad spectrum of financial data points such as prices and volumes of major stocks, indices, commodities, and cryptocurrencies. The data is presented in a structured CSV file format, making it easily accessible and usable for various financial analyses, market research, and predictive modeling. This dataset is ideal for anyone looking to gain insights into the trends and movements within the US financial markets during this period, including the impact of major global events.

    Key Features and Data Structure

    The dataset captures daily financial data across multiple assets, providing a well-rounded perspective of market dynamics. Key features include:

    • Commodities: Prices and trading volumes for natural gas, crude oil, copper, platinum, silver, and gold.
    • Cryptocurrencies: Prices and volumes for Bitcoin and Ethereum, including detailed 5-minute interval data for Bitcoin.
    • Stock Market Indices: Data for major indices such as the S&P 500 and Nasdaq 100.
    • Individual Stocks: Prices and volumes for major companies including Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta.

    The dataset’s structure is designed for straightforward integration into various analytical tools and platforms. Each column is dedicated to a specific asset's daily price or volume, enabling users to perform a wide range of analyses, from simple trend observations to complex predictive models. The inclusion of intraday data for Bitcoin provides a detailed view of market movements.

    Applications and Usability

    This dataset is highly versatile and can be utilized for various financial research purposes:

    • Market Analysis: Track the performance of key assets, compare volatility, and study correlations between different financial instruments.
    • Risk Assessment: Analyze the impact of commodity price movements on related stock prices and evaluate market risks.
    • Educational Use: Serve as a resource for teaching market trends, asset correlation, and the effects of global events on financial markets.

    The dataset’s daily updates ensure that users have access to the most current data, which is crucial for real-time analysis and decision-making. Whether for academic research, market analysis, or financial modeling, the US_Stock_Data.csv dataset provides a valuable foundation for exploring the complexities of financial markets over the specified period.

    Acknowledgements:

    This dataset would not be possible without the contributions of Dhaval Patel, who initially curated the US stock market data spanning from 2020 to 2024. Full credit goes to Dhaval Patel for creating and maintaining the dataset. You can find the original dataset here: US Stock Market 2020 to 2024.

  4. T

    Gold - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Gold - Price Data [Dataset]. https://tradingeconomics.com/commodity/gold
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Dec 2, 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
    Jan 3, 1968 - Dec 2, 2025
    Area covered
    World
    Description

    Gold fell to 4,199.97 USD/t.oz on December 2, 2025, down 0.75% from the previous day. Over the past month, Gold's price has risen 4.93%, and is up 58.92% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on December of 2025.

  5. 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.

  6. T

    Orange Juice - Price Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Orange Juice - Price Data [Dataset]. https://tradingeconomics.com/commodity/orange-juice
    Explore at:
    json, xml, csv, excelAvailable download formats
    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
    Jun 16, 1977 - Dec 2, 2025
    Area covered
    World
    Description

    Orange Juice fell to 147.99 USd/Lbs on December 2, 2025, down 0.38% from the previous day. Over the past month, Orange Juice's price has fallen 15.22%, and is down 71.10% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Orange Juice - values, historical data, forecasts and news - updated on December of 2025.

  7. F

    Index of Spot Market Prices of 22 Commodities for United States

    • fred.stlouisfed.org
    json
    Updated Aug 16, 2012
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    (2012). Index of Spot Market Prices of 22 Commodities for United States [Dataset]. https://fred.stlouisfed.org/series/M04195USM350NNBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 16, 2012
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Index of Spot Market Prices of 22 Commodities for United States (M04195USM350NNBR) from Jul 1946 to Nov 1969 about commodities, price index, indexes, price, and USA.

  8. F

    Index of Spot Market Prices of 28 Commodities for United States

    • fred.stlouisfed.org
    json
    Updated Aug 16, 2012
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    (2012). Index of Spot Market Prices of 28 Commodities for United States [Dataset]. https://fred.stlouisfed.org/series/M0495AUSM346NNBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 16, 2012
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Index of Spot Market Prices of 28 Commodities for United States (M0495AUSM346NNBR) from Jan 1935 to Oct 1952 about commodities, price index, indexes, price, and USA.

  9. F

    Equity Market Volatility Tracker: Commodity Markets

    • fred.stlouisfed.org
    json
    Updated Nov 6, 2025
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    (2025). Equity Market Volatility Tracker: Commodity Markets [Dataset]. https://fred.stlouisfed.org/series/EMVCOMMMKT
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 6, 2025
    License

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

    Description

    Graph and download economic data for Equity Market Volatility Tracker: Commodity Markets (EMVCOMMMKT) from Jan 1985 to Oct 2025 about volatility, uncertainty, equity, commodities, and USA.

  10. Bangladesh Commodity Market Dataset

    • kaggle.com
    zip
    Updated Sep 7, 2025
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    Suhrid Khan (2025). Bangladesh Commodity Market Dataset [Dataset]. https://www.kaggle.com/datasets/suhridkhan/bangladesh-commodity-market-dataset
    Explore at:
    zip(18379 bytes)Available download formats
    Dataset updated
    Sep 7, 2025
    Authors
    Suhrid Khan
    License

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

    Area covered
    Bangladesh
    Description

    This dataset contains market-level information on commodity prices, seasonal factors, stock availability, and potential syndicate activities in Bangladesh’s major trading hubs. It can be used for economic analysis, anomaly detection, and research on market manipulation in developing economies.

  11. G

    Commodity Price Risk Dashboards Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 4, 2025
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    Growth Market Reports (2025). Commodity Price Risk Dashboards Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/commodity-price-risk-dashboards-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Commodity Price Risk Dashboards Market Outlook



    According to our latest research, the global commodity price risk dashboards market size reached USD 1.45 billion in 2024, reflecting the growing importance of real-time risk management tools in volatile commodity markets. With a robust compound annual growth rate (CAGR) of 10.6%, the market is projected to expand to USD 3.62 billion by 2033. This impressive growth is primarily driven by the increasing complexity of global supply chains, heightened geopolitical risks, and the escalating demand for data-driven decision-making across industries.




    One of the most significant growth factors fueling the commodity price risk dashboards market is the increasing volatility and unpredictability in global commodity prices. Over the past decade, geopolitical tensions, trade disputes, and climate change events have contributed to sharp fluctuations in the prices of essential commodities such as oil, agricultural products, and metals. Enterprises and financial institutions are under mounting pressure to manage exposure to price risks more efficiently. As a result, organizations are rapidly adopting advanced dashboards that offer real-time price monitoring, predictive analytics, and scenario modeling capabilities. These tools empower stakeholders to make informed decisions, optimize procurement strategies, and safeguard profit margins against unpredictable market swings.




    Another key driver is the digital transformation sweeping across industries, particularly in sectors with significant exposure to commodity risks such as energy, agriculture, and manufacturing. The integration of artificial intelligence, machine learning, and big data analytics into commodity price risk dashboards has elevated their value proposition. Modern dashboards can now process vast datasets from multiple sources, offering actionable insights and automated alerts. This technological evolution has not only improved the accuracy of risk assessments but also enhanced the speed at which organizations can respond to market movements. The growing emphasis on automation and data-driven strategies is expected to sustain robust demand for commodity price risk dashboards throughout the forecast period.




    Furthermore, stringent regulatory requirements and the growing need for transparency in financial reporting have compelled organizations to adopt sophisticated risk management solutions. Regulatory bodies across the globe are mandating more comprehensive reporting and risk disclosure standards, particularly for companies engaged in commodity trading and procurement. Commodity price risk dashboards facilitate compliance by providing auditable records, detailed analytics, and customizable reporting features. This regulatory push, coupled with the increasing adoption of enterprise risk management frameworks, is anticipated to further stimulate market growth, as organizations seek to align their risk management practices with global standards.




    From a regional perspective, North America currently leads the commodity price risk dashboards market, accounting for the largest share in 2024. This dominance is attributed to the presence of major commodity trading hubs, advanced technological infrastructure, and a high concentration of multinational corporations. However, Asia Pacific is poised to exhibit the highest growth rate during the forecast period, driven by rapid industrialization, expanding commodity markets, and increasing investments in digital transformation initiatives. Europe also remains a significant market, supported by robust regulatory frameworks and a strong emphasis on sustainability and risk management in commodity-intensive industries.





    Component Analysis



    The commodity price risk dashboards market is segmented by component into software and services, each playing a pivotal role in addressing the diverse needs of end-users. Software solutions constitute the core of risk management, offering advanced functionalities such as real-time price tracking, analytics,

  12. T

    CRB Commodity Index - Price Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). CRB Commodity Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/crb
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Dec 2, 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
    Jan 3, 1994 - Dec 1, 2025
    Area covered
    World
    Description

    CRB Index rose to 378.33 Index Points on December 1, 2025, up 0.45% from the previous day. Over the past month, CRB Index's price has fallen 0.80%, but it is still 10.95% 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 December of 2025.

  13. T

    GSCI Commodity Index - Price Data

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +11more
    csv, excel, json, xml
    Updated Dec 2, 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
    Dec 2, 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 - Dec 2, 2025
    Area covered
    World
    Description

    GSCI fell to 556.57 Index Points on December 2, 2025, down 0.34% from the previous day. Over the past month, GSCI's price has fallen 0.80%, but it is still 3.06% higher than a year ago, 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 December of 2025.

  14. sentiment-analysis-in-commodity-market-gold

    • huggingface.co
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    Saguaro Capital Management, sentiment-analysis-in-commodity-market-gold [Dataset]. https://huggingface.co/datasets/SaguaroCapital/sentiment-analysis-in-commodity-market-gold
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset provided by
    Saguaro Capital Management, LLC
    Authors
    Saguaro Capital Management
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    Dataset Card for Sentiment Analysis of Commodity News (Gold)

    This is a news dataset for the commodity market which has been manually annotated for 10,000+ news headlines across multiple dimensions into various classes. The dataset has been sampled from a period of 20+ years (2000-2021). The dataset was curated by Ankur Sinha and Tanmay Khandait and is detailed in their paper "Impact of News on the Commodity Market: Dataset and Results." It is currently published by the authors on… See the full description on the dataset page: https://huggingface.co/datasets/SaguaroCapital/sentiment-analysis-in-commodity-market-gold.

  15. Current Daily Prices of Commodities from Mandi

    • kaggle.com
    zip
    Updated Dec 24, 2024
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    Puneet (2024). Current Daily Prices of Commodities from Mandi [Dataset]. https://www.kaggle.com/datasets/brpuneet898/current-daily-prices-of-commodities-from-mandi
    Explore at:
    zip(108478 bytes)Available download formats
    Dataset updated
    Dec 24, 2024
    Authors
    Puneet
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    This dataset provides the current daily prices of various commodities sourced from multiple markets (mandis) across different regions. It includes detailed information on the market names, commodity types, and their respective prices, offering a snapshot of real-time agricultural and other commodity market trends. The data is valuable for farmers, traders, and analysts to monitor price fluctuations, compare regional price variations, and make informed decisions. It offers insights into supply and demand dynamics, and market conditions, and helps in understanding the economic factors affecting commodity pricing. This dataset supports decision-making, price forecasting, and market research.

  16. n

    Primary Commodity Price System (PCPS)

    • db.nomics.world
    Updated Jul 15, 2025
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    DBnomics (2025). Primary Commodity Price System (PCPS) [Dataset]. https://db.nomics.world/IMF/PCPS
    Explore at:
    Dataset updated
    Jul 15, 2025
    Dataset provided by
    International Monetary Fund
    Authors
    DBnomics
    Description

    Indices in terms of dollars or sdrs, indices of market prices for non-fuel commodities and petroleum, actual market prices for non-fuel commodities and petroleum, and average weekly prices for non-fuel commodities and petroleum.

  17. Global energy commodity price index 2013-2026

    • statista.com
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    Statista, Global energy commodity price index 2013-2026 [Dataset]. https://www.statista.com/statistics/252795/weighted-price-index-of-energy/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The global energy price index stood at around 101.5 in 2024. Energy prices were on a decreasing trend that year, and forecasts suggest the price index would decrease below 80 by 2026. Price indices show the development of prices for goods or services over time relative to a base year. Commodity prices may be dependent on various factors, from supply and demand to overall economic growth. Electricity prices around the world As with overall fuel prices, electricity costs for end users are dependent on power infrastructure, technology type, domestic production, and governmental levies and taxes. Generally, electricity prices are lower in countries with great coal and gas resources, as those have historically been the main sources for electricity generation. This is one of the reasons why electricity prices are lowest in resource-rich countries such as Iran, Qatar, and Russia. Meanwhile, many European governments that have introduced renewable surcharges to support the deployment of solar and wind power and are at the same time dependent on fossil fuel imports, have the highest household electricity prices. Benchmark oil prices One of the commodities found within the energy market is oil. Oil is the main raw material for all common motor fuels, from gasoline to kerosene. In resource-poor and remote regions such as the United States' states of Alaska and Hawaii, or the European country of Cyprus, it is also one of the largest sources for electricity generation. Benchmark oil prices such as Europe’s Brent, the U.S.' WTI, or the OPEC basket are often used as indicators for the overall energy price development.

  18. Gas prices around the world 2022

    • statista.com
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    Statista Research Department, Gas prices around the world 2022 [Dataset]. https://www.statista.com/study/110874/commodity-prices-worldwide/
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    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.

  19. R

    Commodity Price Risk Dashboards Market Research Report 2033

    • researchintelo.com
    csv, pdf, pptx
    Updated Oct 1, 2025
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    Research Intelo (2025). Commodity Price Risk Dashboards Market Research Report 2033 [Dataset]. https://researchintelo.com/report/commodity-price-risk-dashboards-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Research Intelo
    License

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

    Time period covered
    2024 - 2033
    Area covered
    Global
    Description

    Commodity Price Risk Dashboards Market Outlook



    According to our latest research, the Global Commodity Price Risk Dashboards market size was valued at $1.8 billion in 2024 and is projected to reach $4.7 billion by 2033, expanding at a robust CAGR of 11.2% during 2024–2033. The primary factor fueling this market’s growth is the increasing volatility in global commodity prices, which is compelling enterprises across industries to adopt advanced risk management solutions. These dashboards empower organizations to make informed decisions, optimize procurement strategies, and hedge against unpredictable price fluctuations. As businesses contend with increasingly complex supply chains and heightened geopolitical uncertainties, the demand for real-time, data-driven analytics platforms has surged, making commodity price risk dashboards an indispensable tool for modern risk management and strategic planning.



    Regional Outlook



    North America currently dominates the Commodity Price Risk Dashboards market, holding the largest share, which accounted for approximately 38% of the global market value in 2024. This regional leadership is attributed to the mature technological landscape, widespread adoption of advanced analytics, and a high concentration of multinational corporations with sophisticated risk management needs. The United States, in particular, is home to several leading dashboard solution providers and benefits from robust regulatory frameworks that encourage transparency and proactive risk mitigation. Additionally, the region’s established commodity trading infrastructure, especially in sectors like energy, agriculture, and financial services, has created a fertile ground for the integration of real-time risk dashboards. These factors, combined with ongoing investments in digital transformation and enterprise analytics, have solidified North America’s position at the forefront of the market.



    The Asia Pacific region is emerging as the fastest-growing market for commodity price risk dashboards, with a projected CAGR of 14.7% between 2024 and 2033. This accelerated growth is driven by rapid industrialization, increasing cross-border commodity trade, and a rising awareness of risk management best practices among enterprises in China, India, Japan, and Southeast Asia. Governments in the region are also implementing policies to enhance transparency and efficiency in commodity markets, further spurring demand for advanced dashboard solutions. The significant investments being made in cloud infrastructure and digitalization initiatives are enabling even small and medium-sized enterprises (SMEs) to access sophisticated risk analytics tools. As a result, Asia Pacific is expected to contribute substantially to the global market’s expansion over the coming decade.



    Emerging economies in Latin America, the Middle East, and Africa are gradually adopting commodity price risk dashboards, albeit at a slower pace due to challenges such as limited digital infrastructure, lower technology penetration, and regulatory uncertainties. However, these regions represent untapped potential, particularly as local industries in agriculture, oil and gas, and mining begin to recognize the value of real-time risk management. Policy reforms aimed at market liberalization and increased foreign investment are encouraging adoption, but localized demand remains fragmented. The need for customized solutions that address unique regional requirements, language preferences, and compliance standards will be pivotal in unlocking growth in these emerging markets over the forecast period.



    Report Scope





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    Attributes Details
    Report Title Commodity Price Risk Dashboards Market Research Report 2033
    By Component Software, Services
    By Deployment Mode On-Premises, Cloud-Based
    By Enterprise Size Small and Medium Enterprises, Large Enterprises
  20. w

    Global Commodity Services Market Research Report: By Service Type (Trading...

    • wiseguyreports.com
    Updated Aug 19, 2025
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    (2025). Global Commodity Services Market Research Report: By Service Type (Trading Services, Logistics Services, Consultancy Services, Risk Management Services), By Commodity Type (Agricultural Commodities, Energy Commodities, Metals Commodities, Soft Commodities), By End Use Industry (Manufacturing, Construction, Energy, Food and Beverage), By Client Type (Corporations, Government Agencies, Non-Governmental Organizations, Individual Traders) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/commodity-services-market
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    Dataset updated
    Aug 19, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Aug 25, 2025
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 2024376.4(USD Billion)
    MARKET SIZE 2025388.8(USD Billion)
    MARKET SIZE 2035540.0(USD Billion)
    SEGMENTS COVEREDService Type, Commodity Type, End Use Industry, Client Type, Regional
    COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
    KEY MARKET DYNAMICSSupply chain volatility, Commodity price fluctuations, Geopolitical tensions, Technological advancements, Regulatory changes
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDBHP, Archer Daniels Midland, Yara International, Mitsubishi Corporation, K+S AG, China National Chemical, Vale, SABIC, Olam International, Marubeni Corporation, Glencore, Nutrien, Wilmar International, Cargill, Sumitomo Corporation, CF Industries
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESSustainable sourcing solutions, Digital transformation initiatives, Risk management services, Enhanced analytics platforms, Expansion into emerging markets
    COMPOUND ANNUAL GROWTH RATE (CAGR) 3.3% (2025 - 2035)
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Manas Khandelwal (2025). Daily Market Prices of Commodity India (2001-2025) [Dataset]. https://www.kaggle.com/datasets/khandelwalmanas/daily-commodity-prices-india
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Daily Market Prices of Commodity India (2001-2025)

[UPDATED DAILY] 75M+ daily market prices 370+ Commodities [CSV & Parquet Files]

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zip(1487026257 bytes)Available download formats
Dataset updated
Nov 8, 2025
Authors
Manas Khandelwal
Area covered
India
Description

Daily market prices of agricultural commodities across India from 2001-2025. Contains 75+ million records covering 374 unique commodities and 1,504 varieties from various mandis (wholesale markets). Commodity Like: Vegetables, Fruits, Grains, Spices, etc.

Cleaned, deduplicated, and sorted by date and commodity for analysis.

Column Schema

ColumnDescriptionDescription
StateName of the Indian state where the market is locatedprovince
DistrictName of the district within the state where the market is locatedcity
MarketName of the specific market (mandi) where the commodity is tradedstring
CommodityName of the agricultural commodity being tradedstring
VarietySpecific variety or type of the commoditystring
GradeQuality grade of the commodity (e.g., FAQ, Medium, Good)string
Arrival_DateThe date of the price recording, in unambiguous ISO 8601 format (YYYY-MM-DD).datetime
Min_PriceMinimum price of the commodity on the given date (in INR per quintal)decimal
Max_PriceMaximum price of the commodity on the given date (in INR per quintal)decimal
Modal_PriceModal (most frequent) price of the commodity on the given date (in INR per quintal)decimal
Commodity_CodeUnique code identifier for the commoditynumeric

Data sourced from the Government of India's Open Data Platform.

License: Government Open Data License - India (GODL-India) https://www.data.gov.in/Godl

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