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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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Global Commodity Plastics Market is expected to grow at a CAGR of 4.5% during the forecast period 2024-2031
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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.
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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.
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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.
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.
We monitor and track all major and global commodities beyond just price data with volume caps to choose from:
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.
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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.
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Asia Pacific Commodity Trading Transaction and Risk Management - CTRM Software market size will be USD 559.37 Million by 2023
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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.
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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.
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.
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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.
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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.
Attributes | Key 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
Details | CAGR |
---|---|
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
Countries | CAGR (2024 to 2034) |
---|---|
United States | 6.8% |
United Kingdom | 7.4% |
China | 7.0% |
Japan | 7.7% |
South Korea | 8.0% |
Countries | Market Size (2034) |
---|---|
United States | US$ 210.1 billion |
United Kingdom | US$ 48.4 billion |
China | US$ 182.8 billion |
Japan | US$ 122.1 billion |
South Korea | US$ 72.3 billion |
Category-wise Insights
Segment | Value CAGR (2024 to 2034) |
---|---|
Polyethylene (Type) | 6.5% |
Packaging (End-use Industry) | 6.4% |
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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.
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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.
Abstract copyright UK Data Service and data collection copyright owner.
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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.
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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.
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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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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.