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.

Corn fell to 413.26 USd/BU on October 10, 2025, down 1.19% from the previous day. Over the past month, Corn's price has fallen 1.55%, and is down 0.60% 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 October of 2025.

Commodity Services Market Outlook

In 2023, the global commodity services market size was valued at approximately USD 12 billion and is projected to reach USD 18 billion by 2032, growing at a CAGR of 4.5% during the forecast period. The market's growth can be attributed to the increasing globalization of trade, advancements in technology, and heightened demand for risk management and advisory services in volatile markets. These factors are driving the market toward a sustainable growth trajectory.

The primary growth factor for the commodity services market is the growing need for risk management in the face of fluctuating commodity prices. As global markets become more interconnected, the volatility in commodity prices has escalated, necessitating advanced risk management tools and services. Companies across various sectors, including agriculture, energy, and metals, are increasingly leveraging these services to mitigate risks and ensure market stability. These risk management services cover a broad spectrum, from hedging strategies using futures and options to more complex financial instruments.

Another key driver is the technological advancements in commodity trading and brokerage services. The advent of sophisticated trading platforms and algorithms has revolutionized the commodity services market. These technologies enable faster transaction execution, enhanced data analytics, and improved market intelligence, thereby attracting more participants into the market. Furthermore, blockchain technology is being integrated for increased transparency and reduced fraud, which further boosts market confidence and participation.

The increasing demand for specialized research and advisory services also fuels the market's growth. With the complexity of global markets, businesses seek in-depth market analysis, trend forecasting, and strategic advice to make informed decisions. Research and advisory firms provide valuable insights into market dynamics, regulatory changes, and economic indicators, helping companies navigate the intricate landscape of commodity trading. This service segment is seeing robust growth as companies become more dependent on expert guidance to optimize their trading strategies.

Regionally, North America holds a significant share of the commodity services market, driven by its well-established financial markets and advanced technological infrastructure. The region's dominance is expected to continue, supported by the presence of major commodity exchanges and brokerage firms. Meanwhile, the Asia Pacific region is experiencing the fastest growth, primarily due to expanding industrial activities and increasing participation in global trade. The burgeoning economies of China and India, in particular, are key contributors to this regional growth, with their rising demand for various commodities.

Trading and Brokerage Analysis

The trading and brokerage segment is a cornerstone of the commodity services market, providing essential platforms and services for buying and selling various commodities. This segment has evolved significantly with the advent of electronic trading platforms that offer real-time market data, automated trading systems, and enhanced connectivity across global markets. These platforms have democratized access to commodity trading, allowing even small and medium-sized enterprises to participate actively.

In recent years, the role of brokerage firms has expanded beyond mere transaction facilitation to providing comprehensive market analysis, trading recommendations, and personalized investment strategies. Brokerage firms are now leveraging advanced analytics and big data to offer tailored solutions to their clients, enhancing their decision-making capabilities. This trend is particularly prominent in the energy and metals sectors, where market dynamics are highly complex and require specialized expertise.

Moreover, the integration of blockchain technology is poised to transform the trading and brokerage landscape. Blockchain offers unparalleled transparency and security, reducing the risk of fraud and ensuring the integrity of transactions. Several commodity exchanges and brokerage firms are already piloting blockchain-based platforms, which could set a new standard for the industry. This technological shift is expected to attract more institutional investors, further boosting market liquidity and stability.

The trading and brokerage segment also faces challenges, particularly in terms of regulatory compliance and cybersecurity. With increasi

Dataset: • Commodity Price Data. Eg. Commodity1_price.csv, Commodity2_price.csv, Commodity3_price.csv • Distance Matrix Data. Eg. Commodity1_matrix.csv, Commodity2_matrix.csv, Commodity3_matrix.csv

Price dataset description: It is a time-series data of prices of a particular perishable, limited consumption good or commodity (let’s say C) reported in markets of a country. • Date: It’s the date commodity C was reported in the respective market. • Market: Market in which commodity C was reported. • State: State in which the corresponding market is situated. • Variety: Variety of commodity C reported. • Grade: Grade of commodity C reported. • Tonnage (Arrival): Tonnage of a crop that arrives at the market • Prices: MinimumPrice, ModalPrice, and MaximumPrice columns are the corresponding prices of commodity C for the date-state-market-variety-grade combination.

The data has also been captured in form of combinatorial explosion matrix form. It contains market-varieties-grade combination as one cell in the matrix.

Distance matrix description: It is a distance matrix of one state-market combination with every other state-market combination in KM. The files have a distance matrix, whose entries a(i,j) represent distance between two statemarkets statemarket[i] and statemarket[j] in KMs.

Problem description: We have prices available reported for commodity C in different state and markets of the country. Our objective is to forecast the price of a commodity for a given date, state, market, variety, and grade.

Data Properties: 1. Time Series Data 2. Multivariate and multidimensional: Data is multivariate because a lot of factors (features) is responsible for the price of products (labels). 3. Super Sparse Data 4. We believe that there exists a very high degree of correlation between the price of one market and prices in another market. 5. We believe that there may be a high correlation between the prices of different varieties of the same good in the same mandi.

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,

Real-time commodities pricing data allows you to grasp where the market is, was and will be – from exchange data and OTC prices to specialist fundamentals.

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.

Wheat fell to 498.75 USd/Bu on October 10, 2025, down 1.82% from the previous day. Over the past month, Wheat's price has fallen 4.36%, and is down 16.74% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Wheat - values, historical data, forecasts and news - updated on October of 2025.

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.

GSCI fell to 539.96 Index Points on October 10, 2025, down 2.16% from the previous day. Over the past month, GSCI's price has fallen 1.08%, and is down 3.52% compared to the same time last year, 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 October of 2025.

The World Bank’s Commodity Price historical data and forecasts are published quarterly, in January, April, July and October. The price forecasts go up to 2030. Topics: Agriculture & Rural Development

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.

The global commodity trading services market is experiencing robust growth, driven by increasing global trade, fluctuating commodity prices, and the need for efficient supply chain management. While the exact market size for 2025 is not provided, considering the significant presence of major players like Vitol, Glencore, and Cargill, and referencing industry reports showing substantial growth in related sectors, a reasonable estimate for the 2025 market size would be $2 trillion. Assuming a conservative Compound Annual Growth Rate (CAGR) of 5% for the forecast period (2025-2033), the market is projected to reach approximately $3.1 trillion by 2033. This growth is fueled by several key factors including the expansion of emerging economies, rising demand for raw materials across various sectors (metals, energy, agriculture), and the growing adoption of digital technologies to optimize trading processes. The market is segmented by commodity type (metals, energy, agricultural, others) and customer type (large enterprises, SMEs), with large enterprises currently dominating the market share due to their higher trading volumes. However, the SME segment is expected to witness significant growth fueled by increasing globalization and access to online commodity trading platforms. Geographic regions like North America, Europe, and Asia-Pacific are key contributors to market growth, while regions such as the Middle East and Africa show considerable potential for future expansion. Despite the positive growth outlook, challenges like geopolitical instability, regulatory changes, and supply chain disruptions represent potential restraints on market growth. The competitive landscape is characterized by the dominance of several large, established players, who leverage their extensive networks and financial resources. These companies are actively investing in technological advancements to enhance trading efficiency, risk management, and supply chain visibility. While the dominance of these established players is anticipated to continue, opportunities exist for specialized players targeting niche segments within the commodity trading market. Furthermore, the increasing emphasis on sustainability and ethical sourcing is reshaping the industry, with a growing focus on transparency and traceability throughout the commodity supply chain. This trend is expected to drive innovation and reshape the competitive landscape further.

Learn about live grain commodity prices and how they impact the cost of production for farmers and the price consumers pay for food products. Track these prices on exchanges like CME, ICE, and MGEX to monitor broader trends in the agricultural industry.

Context

Agriculture Commodity data is comprised of price's of various commodities all over India, segregated by Market, District and State.

Content

Inspiration

My inspiration for gathering this data is due to my query on how prices of day-to-day commodities is fluctuating. Even though the price is getting increased, farmers are still in debt.

With this data we can , 1. Identify which commodity can be cultivated at a correct duration to get more profit. 2. Which commodity is having more demand/ less demand ? 3. How the prices of commodity is getting changed even within the district (within markets) ? 4. We can analyze how fuel price is affecting commodity price ? (Petrol Data: https://www.kaggle.com/syedjaferk/petrol-price-data-by-district)

Acknowledgement

Many Thanks to http://agmarknet.nic.in

Commodity Price Risk Analytics for SMEs Market Outlook

According to our latest research, the global Commodity Price Risk Analytics for SMEs market size reached USD 1.42 billion in 2024, registering a robust year-on-year growth. The market is expected to expand at a CAGR of 11.7% during the forecast period, reaching approximately USD 4.07 billion by 2033. This growth is primarily driven by the increasing volatility in global commodity prices, which is compelling small and medium enterprises (SMEs) to adopt advanced risk analytics solutions to safeguard their profitability and ensure business continuity.

A significant factor propelling the expansion of the Commodity Price Risk Analytics for SMEs market is the heightened awareness among SMEs regarding the adverse impacts of commodity price fluctuations. With global supply chains becoming increasingly complex and susceptible to geopolitical tensions, natural disasters, and regulatory changes, SMEs are recognizing the necessity for sophisticated analytics tools. These solutions enable businesses to proactively monitor, predict, and hedge against price risks, thereby minimizing financial exposure. The democratization of data analytics and the proliferation of user-friendly platforms have further lowered the entry barriers for SMEs, empowering them to make data-driven decisions that were previously accessible only to larger enterprises.

Another key driver for the market is the rapid digital transformation across all sectors, which has made advanced analytics more accessible and affordable for SMEs. The integration of artificial intelligence, machine learning, and big data analytics into commodity risk management platforms has significantly enhanced predictive accuracy and operational efficiency. These technological advancements allow SMEs to automate complex risk calculations, simulate various market scenarios, and optimize procurement and inventory strategies. As a result, businesses are better equipped to reduce costs, improve margins, and maintain a competitive edge in increasingly volatile markets.

The growing importance of regulatory compliance and transparency in financial reporting is also fueling the demand for commodity price risk analytics among SMEs. Governments and regulatory bodies worldwide are imposing stricter reporting requirements and risk management standards, especially in sectors heavily reliant on commodities such as manufacturing, agriculture, and energy. By leveraging advanced analytics solutions, SMEs can not only ensure compliance but also gain deeper insights into their risk exposures and opportunities. This dual benefit is prompting a surge in adoption rates, particularly among SMEs aiming to scale operations and attract investment by showcasing robust risk management frameworks.

Regionally, North America continues to dominate the Commodity Price Risk Analytics for SMEs market, accounting for the largest share in 2024, followed closely by Europe and the Asia Pacific. The strong presence of technology providers, a mature SME ecosystem, and high awareness of risk management best practices contribute to North America’s leadership. Meanwhile, Asia Pacific is witnessing the fastest growth, driven by rapid industrialization, expanding SME sectors, and increasing exposure to global commodity markets. Latin America and the Middle East & Africa are also emerging as important markets, supported by government initiatives to promote digital adoption among SMEs and the rising importance of commodity exports in these regions.

Component Analysis

The Component segment of the Commodity Price Risk Analytics for SMEs market is bifurcated into Software and Services. Software solutions form the backbone of this market by providing SMEs with advanced analytical tools that enable real-time monitoring, price forecasting, and automated reporting. These platforms are increasingly leveraging artificial intelligence and machine learning algorithms to enhanc

Learn about the various factors that influence grain commodity prices, including supply and demand, weather patterns, transportation costs, and government policies. Gain insight into how traders and analysts make predictions about price movements and why understanding these factors is crucial for farmers, traders, and consumers.

Agmarknet India Commodity Prices (October 2024 – August 2025)

🧩 Overview

This dataset contains daily agricultural commodity price data scraped from the Agmarknet (Government of India) portal for the period October 2024 to August 2025.
It provides granular market-level data across multiple states, including information on commodity, variety, grade, and minimum, maximum, and modal prices (in Rs./Quintal).

With over 1.1 million records, this dataset offers valuable insights into agricultural price fluctuations and regional market dynamics in India.

📅 Time Period

October 2024 – August 2025

📊 Dataset Columns Description

🌾 Data Source

Data has been scraped from the official Agmarknet portal maintained by the Directorate of Marketing & Inspection (DMI) under the Ministry of Agriculture and Farmers Welfare, Government of India.
👉 https://agmarknet.gov.in/

📈 Possible Use Cases

• Agricultural price forecasting using machine learning
• Commodity-wise seasonal and regional trend analysis
• Correlation between price volatility and climatic or policy factors
• Decision support for farmers and agri-businesses
• Market intelligence and demand-supply analysis

🧮 Dataset Statistics

• Records: 1,118,899
• Features: 11
• Coverage: 8 Indian states and 1160 markets
• Frequency: Daily

⚖️ License

This dataset is released under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.
You are free to use, share, and adapt this dataset for any purpose, provided that you give appropriate credit and share derivatives under the same license.

📢 Citation

If you use this dataset in your research, please cite it as:

Anish (2025). Agmarknet India Commodity Prices (October 2024 – August 2025).
Retrieved from https://agmarknet.gov.in/

🧠 Acknowledgments

Special thanks to the Ministry of Agriculture & Farmers Welfare, Government of India, for maintaining open access to Agmarknet data, which enables valuable research and innovation in agricultural analytics.

Graph and download economic data for Index of Spot Market Prices of 13 Raw Industrial Commodities for United States (M0401BUSM350NNBR) from Jul 1946 to Jun 1968 about commodities, industry, price index, indexes, price, and USA.

Coffee fell to 373.93 USd/Lbs on October 10, 2025, down 0.83% from the previous day. Over the past month, Coffee's price has fallen 6.53%, but it is still 48.20% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coffee - values, historical data, forecasts and news - updated on October of 2025.