Commodity Trading Platform Market Outlook

The global commodity trading platform market size was valued at approximately USD 3.5 billion in 2023 and is expected to reach around USD 7.2 billion by 2032, growing at a CAGR of 8.2% from 2024 to 2032. This growth is driven by increasing digitalization, expanding global trade, and rising demand for efficient trading solutions. The digital transformation in trading activities, coupled with the need for real-time data and analytics, is propelling the adoption of advanced trading platforms across the globe.

One of the significant growth factors for the commodity trading platform market is the increasing adoption of digital technologies in trading activities. As the trading landscape becomes more complex and competitive, institutional and retail investors are seeking more sophisticated tools that can offer real-time data analysis, risk management, and automated trading capabilities. The integration of AI and machine learning in these platforms is further enhancing their efficiency and decision-making capabilities, thereby driving market growth.

Another crucial factor contributing to the market's expansion is the globalization of trade. With the world becoming increasingly interconnected, there is a growing need for platforms that can handle the complexities of international trading. These platforms offer features such as multi-currency support, compliance with regional regulations, and real-time tracking of global market trends, making them indispensable tools for traders operating on a global scale. Additionally, the rise in cross-border e-commerce and international investments is further fueling the demand for advanced commodity trading platforms.

The growing focus on sustainability and ethical trading practices is also influencing the market positively. As more investors and companies prioritize Environmental, Social, and Governance (ESG) criteria in their trading activities, there is a rising demand for platforms that can provide transparency and traceability in commodity sourcing and trading. This trend is particularly evident in the agriculture and energy sectors, where there is increasing scrutiny on the environmental and social impacts of trading activities.

The role of Derivatives And Commodities Brokerage is becoming increasingly pivotal in the commodity trading platform market. These brokerages act as intermediaries, facilitating trades between buyers and sellers in the commodities market. With the rise of digital trading platforms, brokerages are evolving to offer more sophisticated services, including real-time data analytics, risk management tools, and automated trading options. This evolution is crucial as it enables traders to navigate the complexities of the global commodities market more efficiently. The integration of AI and machine learning technologies by these brokerages is further enhancing their ability to provide tailored trading solutions, thereby attracting a broader range of clients from institutional to retail investors.

From a regional perspective, North America currently holds a significant share of the commodity trading platform market, driven by the presence of major market players and high adoption rates of advanced trading technologies. However, regions like Asia Pacific are expected to witness the highest growth rates during the forecast period. The rapid economic growth, expanding middle-class population, and increasing digital literacy in countries like China and India are key factors contributing to this regional growth. Moreover, the liberalization of trade policies and investment in digital infrastructure are further supporting the market's expansion in these regions.

Component Analysis

The commodity trading platform market can be segmented by component into software and services. The software segment includes various types of platforms such as trading software, risk management software, and analytical tools. These software solutions are designed to provide traders with real-time data, automated trading options, and advanced analytical capabilities. The increasing complexity of trading activities and the need for high-speed transactions are driving the demand for sophisticated software solutions. Moreover, the integration of AI and machine learning technologies in trading software is enhancing their functionality and efficiency, making them more attractive to traders.

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Sharp economic volatility, the continued effects of high interest rates and mixed sentiment among investors created an uneven landscape for stock and commodity exchanges. While trading volumes soared in 2020 due to the pandemic and favorable financial conditions, such as zero percent interest rates from the Federal Reserve, the continued effects of high inflation in 2022 and 2023 resulted in a hawkish pivot on interest rates, which curtailed ROIs across major equity markets. Geopolitical volatility amid the Ukraine-Russia and Israel-Hamas wars further exacerbated trade volatility, as many investors pivoted away from traditional equity markets into derivative markets, such as options and futures to better hedge on their investment. Nonetheless, the continued digitalization of trading markets bolstered exchanges, as they were able to facilitate improved client service and stronger market insights for interested investors. Revenue grew an annualized 0.1% to an estimated $20.9 billion over the past five years, including an estimated 1.9% boost in 2025. A core development for exchanges has been the growth of derivative trades, which has facilitated a significant market niche for investors. Heightened options trading and growing attraction to agricultural commodities strengthened service diversification among exchanges. Major companies, such as CME Group Inc., introduced new tradeable food commodities for investors in 2024, further diversifying how clients engage in trades. These trends, coupled with strengthened corporate profit growth, bolstered exchanges’ profit. Despite current uncertainty with interest rates and the pervasive fear over a future recession, the industry is expected to do well during the outlook period. Strong economic conditions will reduce investor uncertainty and increase corporate profit, uplifting investment into the stock market and boosting revenue. Greater levels of research and development will expand the scope of stocks offered because new companies will spring up via IPOs, benefiting exchange demand. Nonetheless, continued threat from substitutes such as electronic communication networks (ECNs) will curtail larger growth, as better technology will enable investors to start trading independently, but effective use of electronic platforms by incumbent exchange giants such as NASDAQ Inc. can help stem this decline by offering faster processing via electronic trade floors and prioritizing client support. Overall, revenue is expected to grow an annualized 3.5% to an estimated $24.8 billion through the end of 2031.

Stock and commodity exchanges can benefit from various sources of revenue, ranging from fees charged through the purchasing and selling of stocks and commodities to the listing of companies on exchanges with IPOs. Yet, this hasn't meant exchanges have been free of challenges, with many companies looking to more attractive overseas markets in countries like the US that embrace stronger growth. The most notable culprits have been ARM and CRH, refusing to put up with the increasingly cheaper valuations offered by UK stock exchanges. Stock and commodity exchange revenue is expected to boom at a compound annual rate of 11.5% over the five years through 2024-25 to £15.4 billion. Boosted by the London Stock Exchange Group's Refinitiv purchase in 2021-22, the growth numbers seem inflated. The industry saw ample consolidations, aided by MiFID II's initiation in 2018. However, M&As have now decreased because of high borrowing costs. New reporting demands have bumped up regulatory costs, resulting in thinner profits. Banks, aligning with Basel IV, are pulling back on investments. Post-COVID market turbulence fuelled trades, but it's slowing down with economic stabilisation. The inflation slowdown pushes investors towards higher-value securities, boosting trade value despite lower volumes. The weak pound has been beneficial for revenue, especially for the LSEG, bolstered by dollar-earning companies in the FTSE 100. Stock and commodity exchange industry revenue is expected to show a moderate increase of 1.3% in 2024-25. Revenue is forecast to climb at a compound annual rate of 4.1% over the five years through 2029-30 to £18.8 billion. The cautious descent of interest rates from the Bank of England will slow down volatility and ensure greater business confidence in the UK. This will bring back up consolidation activity to support revenue growth, reviving the digital information and exchange markets. The most pressing concern for the industry will be potential limitations on access to the EEA for the clearing segment of the industry, which could shatter short-term growth and keep the tap running for companies exiting UK exchanges.

CRB Index rose to 368.08 Index Points on June 27, 2025, up 0.52% from the previous day. Over the past month, CRB Index's price has risen 2.57%, and is up 8.00% compared to the same time last year, 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.

The global second-hand commodities trading platform market is projected to be valued at $280 billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of 5.0%, reaching approximately $450 billion by 2034.

High price volatility among various commodities and the recent lowering of interest rates has fueled strong growth among commodity contracts intermediation brokers. While the national economy has continued to recover following a period of high inflationary pressures, recent rate cuts by the Federal Reserve and continued price volatility of oil and agricultural products strengthened commodity contracts’ popularity. Short-term contracts and future continue to facilitate interest among brokers, with revenue growing at a CAGR of 4.6% to an estimated $21.8 billion through the end of 2024, including an estimated 2.3% boost in 2024 alone. Profit continues to remain steady, as higher price volatility and lower interest rates continue to facilitate favorable market conditions for commodity traders. Banks, once outsized players in the industry, have significantly downsized or completely ended their commodity trading activities. This has put significant downward pressure on revenue as these institutions have been forced to limit proprietary trading due to the Volcker rule, enacted prior to the current period. The decreased presence of banks in the industry has allowed smaller players to enter the industry, exacerbating fragmentation among various service groups. The inflationary spike played a key role in buoying growth, with recent geopolitical conflicts in the Middle East and Europe strengthening commodity price volatility. Moving forward, commodity contract intermediaries face a less certain landscape, as anticipated declines in global oil prices and the agricultural price index will dampen the popularity of long-term commodity trades. Increased demand for metal and energy products and the low inventories of metal commodities are expected to sustain a significant revenue stream for brokers. However, further uncertainty surrounding rising tensions in the Middle East will impact the types of trades made by commodity traders. Greater automation and adoption of new technologies such as blockchain will offer a workflow enhancement in the longer term. Nonetheless, an expected decline in global oil prices is poised to cause revenue to fall at a CAGR of 1.0% to an estimated $20.8 billion through the end of 2029.

Gold rose to 3,320.86 USD/t.oz on July 1, 2025, up 0.53% from the previous day. Over the past month, Gold's price has fallen 1.80%, but it is still 42.51% higher than a year ago, 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 July of 2025.

Crude Oil fell to 64.78 USD/Bbl on July 1, 2025, down 0.50% from the previous day. Over the past month, Crude Oil's price has risen 3.62%, but it is still 21.77% lower than a year ago, 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 July of 2025.

The global Commodity Trading, Transaction, and Risk Management (CTRM) software market was valued at USD 112 million in 2025 and is projected to reach USD 191 million by 2033, exhibiting a CAGR of 6.4% during the forecast period. Increasing adoption of CTRM software to enhance operational efficiency, optimize risk management, and improve decision-making drives market growth. The growing need for efficient trade execution and risk mitigation in the face of volatile commodity prices, supply chain disruptions, and regulatory compliance further fuels market demand. Key market trends include the rising deployment of cloud-based CTRM solutions for flexibility and scalability, the emergence of AI and machine learning technologies to improve data analytics and risk management capabilities, and the growing focus on integrated solutions that connect CTRM systems with other enterprise applications. Major market players include AgExceed, Agiblocks CTRM, AgroSoft, AspectCTRM, Balsamo, Beacon.io, BlackLight, Brady CTRM, CC1, CINCH, CitrusPro, Comcore, Comotor, CoreTRM, CTRM4JDE, DataGenic, MUREX, Openlink, and Triple Point Technology. North America and Europe hold significant market shares due to the presence of established commodity trading hubs and advanced technology adoption rates. The Asia Pacific region is expected to witness substantial growth driven by increasing trade volumes and investment in emerging economies.

This data comprises the data utilised in the analysis of the above titled manuscript.

Volatility in financial markets has been high in recent years, which has, at times, benefitted the brokerage industry through greater trading activity as investors look to capitalise on price swings. Most notably, the COVID-19 pandemic, the Ukraine conflict and aggressive interest hikes from Central Banks facing rampant inflation have incited severe volatility. Revenue is expected to grow at a compound annual rate of 2.7% over the five years through 2023-24 to £38.1 billion, including estimated growth of 3.9% in 2023-24. Although volatility can benefit the industry, it can also deter investors, incentivising them to delay investments until economic uncertainty subsides. In recent years, uncertainty has mainly stemmed from the aggressive interest rate hikes and their expected trajectory, hitting stock and bond markets in 2022 and hurting trading activity. Although interest rate uncertainty persisted going into 2023-24, stock markets improved thanks to exceptional growth from large-cap tech stocks and a sharp rally at the end of the year as investors bet on the end of rate hikes. Competition has softened as considerable consolidation activity has occurred between SMEs in the brokerage industry. However, the Markets in Financial Instruments Directive II has ramped up operating costs for brokerage firms, hurting profitability. Continued investment in software to help automate compliance procedures have benefitted margins, although the brokerage industry remains labour-intensive. Revenue is forecast to grow at a compound annual rate of 3.5% over the five years through 2028-29 to £45.2 billion, while the average industry profit margin is expected to reach 24.8%. The market narrative for interest rates is higher for longer, weighing on stock markets and hitting demand for brokers as trading activity slows. However, rate cuts are expected to occur in the second half of 2024-25, supporting bond values and stocks driving revenue growth in the short term. Further regulations related to Basel III are set to come into force in January 2025, adding pressure to brokers' operating costs. Due to Brexit, large international brokers are also shifting employees to overseas domiciles, adding downward pressure to revenue growth.

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.

North America tariff rates for was 0.00%, a 0% increase from .

<ul style='margin-top:20px;'>

<li>North America tariff rates for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
<li>North America tariff rates for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
<li>North America tariff rates for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
</ul>Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead.

Mexico tariff rates for 2022 was 1.62%, a 0.41% increase from 2018.

<ul style='margin-top:20px;'>

<li>Mexico tariff rates for 2018 was <strong>1.21%</strong>, a <strong>0.03% decline</strong> from 2017.</li>
<li>Mexico tariff rates for 2017 was <strong>1.24%</strong>, a <strong>3.11% decline</strong> from 2016.</li>
<li>Mexico tariff rates for 2016 was <strong>4.35%</strong>, a <strong>0.1% decline</strong> from 2015.</li>
</ul>Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead.

Central America tariff rates for was 0.00%, a 0% increase from .

<ul style='margin-top:20px;'>

<li>Central America tariff rates for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
<li>Central America tariff rates for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
<li>Central America tariff rates for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
</ul>Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead.

San Marino tariff rates for was 0.00%, a 0% increase from .

<ul style='margin-top:20px;'>

<li>San Marino tariff rates for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
<li>San Marino tariff rates for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
<li>San Marino tariff rates for was <strong>0.00%</strong>, a <strong>0% increase</strong> from .</li>
</ul>Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead.

Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.

Corn fell to 419.27 USd/BU on July 1, 2025, down 0.29% from the previous day. Over the past month, Corn's price has fallen 4.33%, and is down 0.47% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Corn - values, historical data, forecasts and news - updated on July of 2025.

Colombia tariff rates for 2022 was 2.83%, a 0.25% increase from 2021.

<ul style='margin-top:20px;'>

<li>Colombia tariff rates for 2021 was <strong>2.58%</strong>, a <strong>0.18% increase</strong> from 2020.</li>
<li>Colombia tariff rates for 2020 was <strong>2.40%</strong>, a <strong>0.52% decline</strong> from 2019.</li>
<li>Colombia tariff rates for 2019 was <strong>2.92%</strong>, a <strong>0.36% decline</strong> from 2018.</li>
</ul>Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups and import weights. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of weighted mean tariffs. Import weights were calculated using the United Nations Statistics Division's Commodity Trade (Comtrade) database. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead.

this data base contains USD/MAD and EUR/MAD returns in addition to S&P GSCI returns from 15 October 2005 until the 31 December 2014 as the main sample,then we divided this sample into four subsamples, (after & before) the subprime crisis, and (before & after) the debt crisis