100+ datasets found
  1. Global Commodity Trading Risk Management (CTRM) Software Market Size By...

    • verifiedmarketresearch.com
    Updated Feb 15, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Commodity Trading Risk Management (CTRM) Software Market Size By Deployment Model, By Commodity Type, By Functionality, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/commodity-trading-risk-management-ctrm-software-market/
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    Dataset updated
    Feb 15, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2030
    Area covered
    Global
    Description

    Commodity Trading Risk Management (CTRM) Software Market size was valued at USD 1.23 Billion in 2023 and is projected to reach USD 3.73 Billion by 2030, growing at a CAGR of 12.4% during the forecast period 2024-2030.

    Global Commodity Trading Risk Management (CTRM) Software Market Drivers

    The growth and development of the Commodity Trading Risk Management (CTRM) Software Market can be credited with a few key market drivers. Several of the major market drivers are listed below:

    G Volatility in Commodity Prices: To reduce price risk and maximise trading strategies, there is a need for sophisticated risk management solutions. These fluctuations in commodity prices are caused by a variety of factors, including supply and demand dynamics, geopolitical events, weather, and economic indicators.

    Commodity market globalisation: As commodity markets become more interconnected and globalised, they become more complex trading environments with a variety of counterparties, currencies, rules, and market structures. This increases the need for CTRM software to handle cross-border trading activities and compliance needs.

    Regulatory Compliance Requirements: In order to ensure compliance with regulations like Dodd-Frank, EMIR, MiFID II, and REMIT, regulatory bodies like the Commodity Futures Trading Commission (CFTC), European Securities and Markets Authority (ESMA), and other regulatory authorities impose strict regulatory requirements and reporting obligations. This leads to the adoption of CTRM software.

  2. Commodity Plastics Market - Market Analysis, Sustainable Growth Insights...

    • datamintelligence.com
    pdf,excel,csv,ppt
    Updated Jan 28, 2021
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    DataM Intelligence (2021). Commodity Plastics Market - Market Analysis, Sustainable Growth Insights 2024-2031 [Dataset]. https://www.datamintelligence.com/research-report/commodity-plastics-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 28, 2021
    Dataset authored and provided by
    DataM Intelligence
    License

    https://www.datamintelligence.com/terms-conditionshttps://www.datamintelligence.com/terms-conditions

    Description

    Global Commodity Plastics Market is expected to grow at a CAGR of 4.5% during the forecast period 2024-2031

  3. G

    Origin and destination of transported commodities, Canadian Freight Analysis...

    • open.canada.ca
    • data.urbandatacentre.ca
    • +2more
    csv, html, xml
    Updated Jan 17, 2023
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    Statistics Canada (2023). Origin and destination of transported commodities, Canadian Freight Analysis Framework [Dataset]. https://open.canada.ca/data/en/dataset/273e0c22-21b6-4065-9223-40167c56a5aa
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    The Canadian Freight Analysis Framework integrates data from several sources to create a comprehensive picture of freight flows across the country by geography, commodity and mode of transport. The framework database estimates tonnage, value, and tonne-kilometres by origin and destination, by commodity type, and by mode.

  4. T

    Gold - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +18more
    csv, excel, json, xml
    Updated Mar 26, 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
    Mar 26, 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 - Mar 26, 2025
    Area covered
    World
    Description

    Gold increased 393.93 USD/t oz. or 15.01% since the beginning of 2025, 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 March of 2025.

  5. f

    Data from: S1 Data -

    • figshare.com
    xlsx
    Updated Jan 2, 2024
    + more versions
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    Yu Lou; Chao Xiao; Yi Lian (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0296501.s001
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    xlsxAvailable download formats
    Dataset updated
    Jan 2, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yu Lou; Chao Xiao; Yi Lian
    License

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

    Description

    This study investigates the dynamic and asymmetric propagation of return spillovers between sectoral commodities and industry stock markets in China. Using a daily dataset from February 2007 to July 2022, we employ a time-varying vector autoregressive (TVP-VAR) model to examine the asymmetric return spillovers and dynamic connectedness across sectors. The results reveal significant time-varying spillovers among these sectors, with the industry stocks acting as the primary transmitter of information to the commodity market. Materials, energy, and industrials stock sectors contribute significantly to these spillovers due to their close ties to commodity production and processing. The study also identifies significant asymmetric spillovers with bad returns dominating, influenced by major economic and political events such as the 2008 global financial crisis, the 2015 Chinese stock market crisis, the COVID-19 pandemic, and the Russia-Ukraine war. Furthermore, our study highlights the unique dynamics within the Chinese market, where net information spillovers from the stock market to commodities drive the financialization process, which differs from the bidirectional commodity financialization observed in other markets. Finally, portfolio analysis reveals that the minimum connectedness portfolio outperforms other approaches and effectively reflects asymmetries. Understanding these dynamics and sectoral heterogeneities has important implications for risk management, policy development, and trading practices.

  6. Supply Chain GHG Emission Factors for US Commodities and Industries v1.1

    • catalog.data.gov
    Updated Jan 28, 2022
    + more versions
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    U.S. EPA Office of Research and Development (ORD) (2022). Supply Chain GHG Emission Factors for US Commodities and Industries v1.1 [Dataset]. https://catalog.data.gov/dataset/supply-chain-ghg-emission-factors-for-us-commodities-and-industries-v1-1
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    Dataset updated
    Jan 28, 2022
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Area covered
    United States
    Description

    Tables presenting supply chain and margin emission factors and data quality scores for US commodities and industries calculated from USEEIO models at two levels of commodity/industry categorization, detail and summary, for both industries and commodity, and annually from 2010-2016. These factors were produced with useeior v1.0.1. See the EPA report for full details on emission factor preparation. This dataset is associated with the following publication: Ingwersen, W., and M. Li. Supply Chain Greenhouse Gas Emission Factors for US Industries and Commodities. U.S. Environmental Protection Agency, Washington, DC, USA, 2020.

  7. InfoTrie Commodity Data - 70+ Commodity Prices Data, Metal Pricing Data,...

    • datarade.ai
    .json, .csv, .xls
    Updated May 17, 2024
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    InfoTrie (2024). InfoTrie Commodity Data - 70+ Commodity Prices Data, Metal Pricing Data, API/SFTP Globally [Dataset]. https://datarade.ai/data-products/infotrie-commodity-data-over-60-commodities-globally-infotrie
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    May 17, 2024
    Dataset provided by
    InfoTrie Financial Solutions
    Authors
    InfoTrie
    Area covered
    Palestine, Kazakhstan, Anguilla, Saint Helena, Ecuador, Mexico, French Polynesia, Fiji, Lithuania, Sint Eustatius and Saba
    Description

    We monitor and track all major and global commodities beyond just price data with volume caps to choose from:

    1. Extensive Coverage: Track crude oil, natural gas, gold, silver, copper, wheat, soybeans, iron ore, and more across global markets.
    2. Rich Data Set: Leverage 15+ years of trends with EOD refreshes for pattern analysis and strategic planning.
    3. Comprehensive Insights: On profiles, references, and tailored financial data feeds.
    4. Seamless Integration: Retrieve data via API/SFTP with customizable fields and formats for flexible analysis.
    5. Trusted by Professionals: Used by financial institutions, investors, hedge funds, asset managers, and researchers in dynamic commodity markets.
    6. Secure & Compliant: Rely on globally compliant data security for risk-free integration.

    Empower smarter commodity-related decisions with commodity data solutions.

    Book a meeting here: https://calendar.app.google/4UEQVKsuSiTM4JxB8 to gain immediate access to refreshed and reliable commodity data APIs today.

  8. Commodities Oil Price Chart

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Mar 1, 2025
    + more versions
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    Commodities Oil Price Chart [Dataset]. https://www.indexbox.io/search/commodities-oil-price-chart/
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    doc, pdf, docx, xlsx, xlsAvailable download formats
    Dataset updated
    Mar 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 - Mar 27, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Commodities oil price charts provide valuable information about the historical trends and patterns of oil prices. These charts are commonly used by investors, traders, and analysts to analyze and forecast future oil price movements. Learn more about how oil price charts can be used for technical and fundamental analysis, as well as the various platforms and websites that provide these charts.

  9. c

    Asia Pacific Commodity Trading Transaction and Risk Management - CTRM...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jan 15, 2025
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    Cognitive Market Research (2025). Asia Pacific Commodity Trading Transaction and Risk Management - CTRM Software market size will be $559.37 Million by 2023 [Dataset]. https://www.cognitivemarketresearch.com/regional-analysis/asia-pacific-commodity-trading-transaction-and-risk-management---ctrm-software-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

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

    Time period covered
    2021 - 2033
    Area covered
    Region
    Description

    Asia Pacific Commodity Trading Transaction and Risk Management - CTRM Software market size will be USD 559.37 Million by 2023

  10. T

    Corn - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Updated Jan 2, 2012
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    TRADING ECONOMICS (2012). Corn - Price Data [Dataset]. https://tradingeconomics.com/commodity/corn
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jan 2, 2012
    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 - Mar 26, 2025
    Area covered
    World
    Description

    Corn decreased 3.39 USd/BU or 0.74% since the beginning of 2025, 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 March of 2025.

  11. Commodity Online Crude Oil

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Mar 1, 2025
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    IndexBox Inc. (2025). Commodity Online Crude Oil [Dataset]. https://www.indexbox.io/search/commodity-online-crude-oil/
    Explore at:
    xls, doc, xlsx, pdf, docxAvailable download formats
    Dataset updated
    Mar 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 - Mar 25, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Commodity Online is a platform that provides real-time information, analysis, and news related to crude oil and other commodities. It offers services such as real-time updates on crude oil prices, market trends, supply and demand dynamics, and geopolitical developments. The platform also features price charting and technical analysis tools, news and analysis articles, and information on crude oil futures contracts traded on major commodity exchanges.

  12. k

    Daily Commodity Prices in U.S Dollar

    • datasource.kapsarc.org
    csv, excel, json
    Updated Jul 29, 2022
    + more versions
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    (2022). Daily Commodity Prices in U.S Dollar [Dataset]. https://datasource.kapsarc.org/explore/dataset/commodity-prices/
    Explore at:
    json, excel, csvAvailable download formats
    Dataset updated
    Jul 29, 2022
    Description

    This dataset contains Daily Commodity Prices for 2020 - 2021. Data from Saudi Arabian Monetary Authority. Follow datasource.kapsarc.org for timely data to advance energy economics research.

  13. d

    Commodity Category Assignments - Appendix B2 of PhD Thesis - Tracing marine...

    • catalogue.data.govt.nz
    Updated Nov 9, 2022
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    (2022). Commodity Category Assignments - Appendix B2 of PhD Thesis - Tracing marine biosecurity risks using multi-region input-output analysis - Dataset - data.govt.nz - discover and use data [Dataset]. https://catalogue.data.govt.nz/dataset/oai-figshare-com-article-20499021
    Explore at:
    Dataset updated
    Nov 9, 2022
    License

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

    Description

    The United Nations Statistics Division collects international trade data for 6,357 commodities. The commodities list is arranged in order by tangible products of primary industries (agriculture, fisheries, mining, forestry, etc.), tangible products of secondary industries (beginning with primary form metals and non-metals, basic chemicals, etc. and ending with processed foods, fabricated goods, etc.), and the products of tertiary industries which are mostly services and location-based assets (land, buildings, etc.) Each item in the commodities list was assigned to one of 39 commodity categories, based on type of commodity and types of cargo vessels that are typically used to transport them.

  14. Commodity Plastic Market Analysis by Polyethylene (PE), Polypropylene (PP),...

    • futuremarketinsights.com
    pdf
    Updated Feb 6, 2024
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    Future Market Insights (2024). Commodity Plastic Market Analysis by Polyethylene (PE), Polypropylene (PP), and Polyvinyl Chloride (PVC) Type, 2024 to 2034 [Dataset]. https://www.futuremarketinsights.com/reports/commodity-plastic-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Feb 6, 2024
    Dataset authored and provided by
    Future Market Insights
    License

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

    Time period covered
    2024 - 2034
    Area covered
    Worldwide
    Description

    The global commodity plastic market size is anticipated to attain a valuation of US$ 1170 billion by 2034. It is estimated to witness a CAGR of around 6.7% in the forecast period 2024 to 2034. The market is likely to reach a value of US$ 610.1 billion by 2024.

    AttributesKey Insights
    Commodity Plastic Market Anticipated Value (2023A)US$ 570.2 billion
    Commodity Plastic Market Estimated Valuation (2024E)US$ 610.1 billion
    Projected Commodity Plastic Market Size (2034F)US$ 1170 billion
    Value-based CAGR (2024 to 2034)6.7%

    2019 to 2023 Commodity Plastic Market Insights Vs. 2024 to 2034 Forecast

    Historical CAGR (2019 to 2023)7.9%
    Forecast CAGR (2024 to 2034)6.7%

    Semi-annual Commodity Plastic Market Overview

    DetailsCAGR
    H1 (2023 to 2033)6.40%
    H2 (2023 to 2033)6.50%
    H1 (2024 to 2034)6.90%
    H2 (2024 to 2034)6.60%

    Country-wise Insights

    CountriesCAGR (2024 to 2034)
    United States6.8%
    United Kingdom7.4%
    China7.0%
    Japan7.7%
    South Korea8.0%
    CountriesMarket Size (2034)
    United StatesUS$ 210.1 billion
    United KingdomUS$ 48.4 billion
    ChinaUS$ 182.8 billion
    JapanUS$ 122.1 billion
    South KoreaUS$ 72.3 billion

    Category-wise Insights

    SegmentValue CAGR (2024 to 2034)
    Polyethylene (Type)6.5%
    Packaging (End-use Industry)6.4%
  15. T

    Natural gas - Price Data

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Updated Mar 27, 2025
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    TRADING ECONOMICS (2025). Natural gas - Price Data [Dataset]. https://tradingeconomics.com/commodity/natural-gas
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Mar 27, 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
    Apr 3, 1990 - Mar 27, 2025
    Area covered
    World
    Description

    Natural gas increased 0.21 USD/MMBtu or 5.84% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Natural gas - values, historical data, forecasts and news - updated on March of 2025.

  16. Commodity Crude Oil Live Chart

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Mar 1, 2025
    + more versions
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    IndexBox Inc. (2025). Commodity Crude Oil Live Chart [Dataset]. https://www.indexbox.io/search/commodity-crude-oil-live-chart/
    Explore at:
    xls, pdf, docx, doc, xlsxAvailable download formats
    Dataset updated
    Mar 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 - Mar 26, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    The commodity crude oil live chart provides real-time price data, technical analysis tools, and additional information that can assist traders, investors, and analysts in making informed decisions about the price movements of crude oil.

  17. c

    Futures Commodity Prices and Electricity and Utility Stock Prices, 2005

    • datacatalogue.cessda.eu
    Updated Nov 28, 2024
    + more versions
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    Sancetta, A., University of Cambridge; Satchell, S., University of Cambridge (2024). Futures Commodity Prices and Electricity and Utility Stock Prices, 2005 [Dataset]. http://doi.org/10.5255/UKDA-SN-5581-1
    Explore at:
    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Faculty of Economics
    Authors
    Sancetta, A., University of Cambridge; Satchell, S., University of Cambridge
    Area covered
    United States, United Kingdom
    Variables measured
    Commodities data, Cross-national, National
    Measurement technique
    Transcription of existing materials
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    The objective of the project was to provide econometric analysis and theory for modelling energy and soft commodity prices. This necessitated data analysis and modelling together with theoretical econometrics, dealing with the specific stylised facts of commodity prices. In order to analyse energy and soft commodity prices, the determination of spot energy prices in regulated markets was first considered, from the point of view of the regulator. Direct data analysis of futures commodity prices was then undertaken, resulting in the collection of an extensive dataset of most traded futures commodity prices at a daily frequency, covering 16 different commodities over a 10-year period.

    Main Topics:

    The commodities covered include electricity, oil, gas and other commodities, including coffee, cocoa, sugar, cereal and pulse crops. Other energy utility company details are also included in the data.

  18. Metal content of commodities

    • figshare.com
    • data.subak.org
    • +1more
    application/cdfv2
    Updated Jun 2, 2023
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    Stefan Pauliuk (2023). Metal content of commodities [Dataset]. http://doi.org/10.6084/m9.figshare.5221306.v1
    Explore at:
    application/cdfv2Available download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    figshare
    Authors
    Stefan Pauliuk
    License

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

    Description

    This is a dataset of the approximate contentation of the materials steel, plastics, paper, and cement and of the metals Fe, Cu, Al, Cr, Mn, Mo, and V of ca. 4000 Commodity groups in the Eurostat ProdCom database. (NACE v2)The dataset was developed for the following work:"Quantifying Impacts of Consumption Based Charge for Carbon Intensive Materials on Products "

    Stefan Pauliuk, Karsten Neuhoff, Anne Owen, Richard Wood

    DIW Discussion paper 1570, German Institute for Economic Research, Berlin.

  19. T

    Crude Oil - Price Data

    • tradingeconomics.com
    • sv.tradingeconomics.com
    • +19more
    csv, excel, json, xml
    Updated Mar 26, 2025
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    TRADING ECONOMICS (2025). Crude Oil - Price Data [Dataset]. https://tradingeconomics.com/commodity/crude-oil
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Mar 26, 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
    Mar 30, 1983 - Mar 26, 2025
    Area covered
    World
    Description

    Crude Oil decreased 2.12 USD/BBL or 2.95% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on March of 2025.

  20. I

    Global Digital Commodity Trading Platform Market Technological Advancements...

    • statsndata.org
    excel, pdf
    Updated Feb 2025
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    Stats N Data (2025). Global Digital Commodity Trading Platform Market Technological Advancements 2025-2032 [Dataset]. https://www.statsndata.org/report/digital-commodity-trading-platform-market-130956
    Explore at:
    pdf, excelAvailable download formats
    Dataset updated
    Feb 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    In recent years, the Digital Commodity Trading Platform market has emerged as a pivotal component of the global financial ecosystem, uniquely bridging the gap between buyers and sellers of various commodities. As industries increasingly shift towards digital solutions, these platforms facilitate the trading of commo

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VERIFIED MARKET RESEARCH (2024). Global Commodity Trading Risk Management (CTRM) Software Market Size By Deployment Model, By Commodity Type, By Functionality, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/commodity-trading-risk-management-ctrm-software-market/
Organization logo

Global Commodity Trading Risk Management (CTRM) Software Market Size By Deployment Model, By Commodity Type, By Functionality, By Geographic Scope And Forecast

Explore at:
Dataset updated
Feb 15, 2024
Dataset provided by
Verified Market Researchhttps://www.verifiedmarketresearch.com/
Authors
VERIFIED MARKET RESEARCH
License

https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

Time period covered
2024 - 2030
Area covered
Global
Description

Commodity Trading Risk Management (CTRM) Software Market size was valued at USD 1.23 Billion in 2023 and is projected to reach USD 3.73 Billion by 2030, growing at a CAGR of 12.4% during the forecast period 2024-2030.

Global Commodity Trading Risk Management (CTRM) Software Market Drivers

The growth and development of the Commodity Trading Risk Management (CTRM) Software Market can be credited with a few key market drivers. Several of the major market drivers are listed below:

G Volatility in Commodity Prices: To reduce price risk and maximise trading strategies, there is a need for sophisticated risk management solutions. These fluctuations in commodity prices are caused by a variety of factors, including supply and demand dynamics, geopolitical events, weather, and economic indicators.

Commodity market globalisation: As commodity markets become more interconnected and globalised, they become more complex trading environments with a variety of counterparties, currencies, rules, and market structures. This increases the need for CTRM software to handle cross-border trading activities and compliance needs.

Regulatory Compliance Requirements: In order to ensure compliance with regulations like Dodd-Frank, EMIR, MiFID II, and REMIT, regulatory bodies like the Commodity Futures Trading Commission (CFTC), European Securities and Markets Authority (ESMA), and other regulatory authorities impose strict regulatory requirements and reporting obligations. This leads to the adoption of CTRM software.

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