Cotton fell to 61.55 USd/Lbs on December 2, 2025, down 2.03% from the previous day. Over the past month, Cotton's price has fallen 6.28%, and is down 13.31% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Cotton - values, historical data, forecasts and news - updated on December of 2025.

Monthly and long-term cotton price data (US¢/lb): historical series and analyst forecasts curated by FocusEconomics.

United States Inflation Nowcast: Contribution: Commodity Prices: Cotton Futures: ICE: Settlement Price: 1st Month data was reported at 0.411 % in 12 May 2025. This stayed constant from the previous number of 0.411 % for 05 May 2025. United States Inflation Nowcast: Contribution: Commodity Prices: Cotton Futures: ICE: Settlement Price: 1st Month data is updated weekly, averaging 0.004 % from Jun 2020 (Median) to 12 May 2025, with 259 observations. The data reached an all-time high of 39.476 % in 18 Nov 2024 and a record low of 0.000 % in 03 Feb 2025. United States Inflation Nowcast: Contribution: Commodity Prices: Cotton Futures: ICE: Settlement Price: 1st Month data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Inflation: Headline.

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Cotton Market Size 2025-2029

The cotton market size is valued to increase by USD 8.69 billion, at a CAGR of 3.2% from 2024 to 2029. Supports economic growth and source of livelihood will drive the cotton market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 87% growth during the forecast period.
By Application - Cotton fiber segment was valued at USD 37.14 billion in 2023
By Distribution Channel - Offline segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 26.51 million
Market Future Opportunities: USD 8688.20 million
CAGR : 3.2%
APAC: Largest market in 2023

Market Summary

The market encompasses the global production, trade, and consumption of cotton, a vital natural fiber used extensively in textiles and apparel. Core technologies, such as genetically modified cotton seeds and automated cotton harvesting machinery, are transforming the industry by enhancing productivity and reducing environmental impact. Applications span various sectors, including fashion, home textiles, and industrial uses. However, the market faces challenges, including overconsumption of water due to poor management and water pollution, which threatens sustainability. Regulations, such as the Sustainability and Transparency Accelerator, aim to mitigate these issues.
According to recent reports, cotton accounts for approximately 2.5% of the world's total water consumption, making it a significant contributor to economic growth and a crucial source of livelihood for millions. Despite these challenges, the market continues to evolve, with companies adopting new technologies to improve efficiency and reduce environmental impact.

What will be the Size of the Cotton Market during the forecast period?

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How is the Cotton Market Segmented and what are the key trends of market segmentation?

The cotton industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  Cotton fiber
  Cotton seed oil
  Cotton seed


Distribution Channel

  Offline
  Online


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  Middle East and Africa

    Turkey


  APAC

    Bangladesh
    China
    India
    Pakistan


  Rest of World (ROW)

By Application Insights

The cotton fiber segment is estimated to witness significant growth during the forecast period.

Cotton, a natural fiber grown in shrubs across tropical and subtropical regions globally, holds a significant position in the textile industry. India is the leading producer of cotton, catering to one-third of the global fiber production. The textile mills and apparel manufacturing sector's expansion fuel the cotton industry's growth. Consumer preferences and trends drive the demand for cotton, making it the most widely used natural fiber in textiles. The cotton industry's future looks promising with anticipated growth in various sectors. For instance, precision agriculture technology and integrated pest management techniques are gaining traction, enhancing crop stress tolerance and reducing pesticide usage.

Soil nutrient cycling and humic acid fertilizer applications contribute to improved fiber quality parameters, such as fiber length uniformity and lint strength measurement. Moreover, the adoption of gene expression analysis, disease tolerance genetics, and sustainable farming practices is on the rise. These advancements lead to better water use efficiency, nitrogen fixation efficiency, and micronutrient deficiencies reduction. Furthermore, the integration of data-driven irrigation, crop rotation strategies, and plant biomass estimation offers opportunities for yield improvement metrics. Additionally, the application of growth regulator applications, microbial inoculants, and herbicide application techniques contributes to better soil health indicators and harvesting optimization methods.

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The Cotton fiber segment was valued at USD 37.14 billion in 2019 and showed a gradual increase during the forecast period.

The industry also benefits from remote sensing applications, enabling better monitoring of crop health and soil conditions. According to recent studies, the cotton industry's current market share stands at 35%, with expectations of a 15% increase in the next five years. Another report indicates a 12% rise in demand for cotton fiber in the textile industry within the same timeframe. These statistics underscore the cotton industry's continuous evolution and growth potential.

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Regional Analysis

APAC is estimated to contribute 87% to the growth of the global

China Settlement Price: ZCE: Cotton: 2nd Month data was reported at 13,195.000 RMB/Ton in 14 May 2025. This records an increase from the previous number of 13,115.000 RMB/Ton for 13 May 2025. China Settlement Price: ZCE: Cotton: 2nd Month data is updated daily, averaging 15,390.000 RMB/Ton from Sep 2004 (Median) to 14 May 2025, with 5028 observations. The data reached an all-time high of 34,270.000 RMB/Ton in 17 Feb 2011 and a record low of 10,255.000 RMB/Ton in 16 Mar 2016. China Settlement Price: ZCE: Cotton: 2nd Month data remains active status in CEIC and is reported by Zhengzhou Commodity Exchange. The data is categorized under World Trend Plus’s Commodity Market – Table CN.ZB: Zhengzhou Commodity Exchange: Commodity Futures: Settlement Price: Daily. [COVID-19-IMPACT]

The global cotton lint market rose sharply to $166.1B in 2024, surging by 12% against the previous year. Over the period under review, consumption, however, saw a mild descent. Global consumption peaked at $215.9B in 2022; however, from 2023 to 2024, consumption remained at a lower figure.

Cotton prices in , September, 2025 For that commodity indicator, we provide data from January 1960 to September 2025. The average value during that period was 1.48 USD per kilogram with a minimum of 0.6 USD per kilogram in August 1969 and a maximum of 5.06 USD per kilogram in March 2011. | TheGlobalEconomy.com

Cotton futures retreated after USDA revised production and stock estimates, tightening supply projections and affecting market prices.

Global Cotton market size 2021 was recorded $39.207 Million whereas by the end of 2025 it will reach $44.3 Million. According to the author, by 2033 Cotton market size will become $56.555. Cotton market will be growing at a CAGR of 3.1% during 2025 to 2033.

The Cotton In Europe Market report segments the industry into Geography (Spain, Greece, Germany, Bulgaria, Albania, Rest of Europe). The report includes Production Analysis by Volume, Consumption Analysis by Value and Volume, Import Analysis by Value and Volume, Export Analysis by Value and Volume, and Price Trend Analysis. This report offers five years of historical data and five-year market forecasts.

In the 2020 calendar year, the global average price of cotton - from a selection of the principal upland cottons - stood at **** U.S. cents per pound. The global price of cotton was at its peak in the 2011 crop year, with an average price of *** cents per pound. Cotton in the U.S. The average farm price in the United States received by cotton growers, has been growing in the past few years. The United States is the leading global cotton exporter, and is among the leading cotton producers worldwide after India and China. As of 2017/2018, the United States produced about ** percent of cotton globally. Cottonseeds market Worldwide cottonseed production amounted to about **** million metric tons in 2018/2019, decreasing from around ** million metric tons in the previous year. In that year, India and China were by far the main cottonseed producers worldwide, followed by Pakistan and Brazil.

China Settlement Price: ZCE: Cotton: 1st Month data was reported at 13,735.000 RMB/Ton in 03 Dec 2025. This records a decrease from the previous number of 13,790.000 RMB/Ton for 02 Dec 2025. China Settlement Price: ZCE: Cotton: 1st Month data is updated daily, averaging 17,070.000 RMB/Ton from Sep 2004 (Median) to 03 Dec 2025, with 5166 observations. The data reached an all-time high of 33,545.000 RMB/Ton in 17 Feb 2011 and a record low of 10,280.000 RMB/Ton in 24 Mar 2020. China Settlement Price: ZCE: Cotton: 1st Month data remains active status in CEIC and is reported by Zhengzhou Commodity Exchange. The data is categorized under World Trend Plus’s Commodity Market – Table CN.ZB: Zhengzhou Commodity Exchange: Commodity Futures: Settlement Price: Daily. [COVID-19-IMPACT]

Cotton futures face further declines as weak export sales data impacts prices, with market trends pointing to continued volatility.

Graph and download economic data for Global price of Cotton (PCOTTINDUSDM) from Jan 1990 to Jun 2025 about cotton, World, and price.

China Settlement Price: ZCE: Cotton Yarn: 4th Month data was reported at 25,020.000 RMB/Ton in 27 Jul 2018. This records a decrease from the previous number of 25,025.000 RMB/Ton for 26 Jul 2018. China Settlement Price: ZCE: Cotton Yarn: 4th Month data is updated daily, averaging 23,225.000 RMB/Ton from Aug 2017 (Median) to 27 Jul 2018, with 230 observations. The data reached an all-time high of 27,265.000 RMB/Ton in 30 May 2018 and a record low of 21,115.000 RMB/Ton in 21 Sep 2017. China Settlement Price: ZCE: Cotton Yarn: 4th Month data remains active status in CEIC and is reported by Zhengzhou Commodity Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Zhengzhou Commodity Exchange: Commodity Futures: Settlement Price: Daily.

China Settlement Price: ZCE: Cotton Yarn: 1st Month data was reported at 23,940.000 RMB/Ton in 17 Dec 2018. This records a decrease from the previous number of 24,100.000 RMB/Ton for 14 Dec 2018. China Settlement Price: ZCE: Cotton Yarn: 1st Month data is updated daily, averaging 23,260.000 RMB/Ton from Aug 2017 (Median) to 17 Dec 2018, with 325 observations. The data reached an all-time high of 28,415.000 RMB/Ton in 22 May 2018 and a record low of 21,660.000 RMB/Ton in 03 Apr 2018. China Settlement Price: ZCE: Cotton Yarn: 1st Month data remains active status in CEIC and is reported by Zhengzhou Commodity Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Zhengzhou Commodity Exchange: Commodity Futures: Settlement Price: Daily.

After stagnating during the pandemic, the textile industry has begun to strongly recover and the demand for cotton has risen. It is expected that cotton consumption in 2021 will grow faster than the supply. This will lead to a reduction in global cotton stocks and higher prices. The issues of sustainability and ethical background become increasingly important in the transformation of cotton supply chains.

Discover the booming European cotton industry, projected to reach €11.975 billion by 2033 with a 4.91% CAGR. Explore market trends, key players like Olam & Syngenta, and challenges like climate change impacting this €8.08 billion (2025) sector. Learn more about sustainable cotton farming and future growth projections. Key drivers for this market are: Rising Demand for Milled and Broken Rice, Growing Preference for Speciality Rice Variety; Government Initiatives Supports Rice Production. Potential restraints include: Lack of Supply Chain for Rice, Growing Agricultural Labor Crisis. Notable trends are: Increased Demand for Cotton in Textile Industry.

✍️ Personal Note: While I'm presenting this dataset for analysis and insights, I want to emphasize the importance of ethical sourcing and consumption, especially in commodities like cocoa and coffee which have known ethical concerns in their supply chains.

About This Dataset:

This dataset delivers an extensive and current assortment of futures related to soft commodities. Futures are financial contracts obligating the buyer to purchase, and the seller to sell, a specified amount of a particular commodity at a predetermined price on a set date in the future.

Use Cases: 1. Price Forecasting: Harness machine learning to predict the price dynamics of commodities like coffee and cocoa, aiding stakeholders in their decision-making. 2. Supply Chain Analysis: Evaluate the correlation between futures prices and global events, offering insights into potential supply chain disruptions. 3. Demand Projections: Utilize deep learning techniques to correlate historical consumption patterns with price movements, projecting future demand.

Dataset Image Source: Photo by Tom Fisk from Pexels: https://www.pexels.com/photo/aerial-shot-of-green-milling-tractor-1595108/

Column Descriptions: 1. Date: The date when the data was recorded. Format: YYYY-MM-DD. 2. Open: The opening market price for the day. 3. High: Maximum price achieved during the trading session. 4. Low: Lowest traded price during the session. 5. Close: Market's concluding price. 6. Volume: Count of contracts traded throughout the session. 7. Ticker: Distinct market quotation symbol for the commodity future. 8. Commodity: Indicates the type of soft commodity the futures contract pertains to (e.g., Cocoa, Coffee).

Remember to link to the correct image source for your dataset's image!

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

TR/CC CRB Cottonindex: A Reliable Guide to the Global Cotton Market?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data