Exports of agricultural products from the United States of America came to ******* billion U.S. dollars in 2022. The third-largest exporter of agricultural products was the Netherlands. This is likely due to the country's role as a major European shipping hub. Brazil exported agricultural products worth, ******** U.S. dollars.

In 2020, Algeria exported around ** million U.S. dollars of agricultural products to Jordan, which represented its main export partner. France ranked second, as it imported approximately ** million U.S. dollars of agricultural items from the North African country. Other main destinations of Algeria's agricultural exports were Turkey, Mauritania, and Morocco. Algeria mainly exports sugar and horticulture products.

Argentina exported around *** billion U.S. dollars' worth of agricultural products to China in 2023, making it the country's main export partner within the sector. Ranking second was India, with exports amounting to more than ***** billion U.S. dollars. That year, the leading agricultural product exported from Argentina to China was barley. Food from Argentina to the World Around the globe, Argentina is widely regarded as a food exporter. In 2023, the export value of food and tobacco products from the South American country reached over ** billion U.S. dollars. Among its largest exports are cereals and cereal preparations, feedstuff for animals, as well as meat and meat preparations. That year alone, meat exports surpassed three billion U.S. dollars. A cereal exporter Argentina has been called “the world’s silo” due to its high exports of cereals and cereal preparations. These include wheat and meslin, barley, and rice, however corn is the undisputed leading cereal. In 2023, the value of corn exported amounted to more than * billion U.S. dollars.

In 2023, imports of agricultural products to the U.S. amounted to around *** billion U.S. dollars. Mexico was the leading country of origin, representing nearly a quarter of the U.S. agricultural products imports. Canada was the second most important origin country, accounting for more than ** billion dollars worth of imports.

Abstract

An 'agricultural export crop' is a crop which is currently grown in country and has export potential. An 'agricultural export commodity' is the product of any export crop. For example, palm oil and palm kernel are two by-products of the oil palm.

A 'holding' is the total land area devoted to the cultivation of any of the 14 export crops included in this survey (rubber, coffee, cocoa, sesame seed, garlic, tea, ginger, gum arabic, cashew nut, oil palm, groundnut, cotton, sugarcane and shea nut) by an individual called a farmer. A 'holder' is the person who owns a holding and is therefore entitled to the proceeds from the holding.

The major objectives of the survey were as follows:

i. To ascertain the spread of the cultivation of each of the 14 export crops within Nigeria in terms of areas cultivated by state.

ii. To ascertain the export potential of these commodities with respect to their outputs.

iii. Ascertain the quantities of commodities being exported.

iv. To provide structural data on agricultural export commodities such as size of holdings, access to land and credit, availability of processing, and storage facilities among others.

v. To provide socio-economic and demographic data on agricultural export commodity holders.

Geographic coverage

National and state

Analysis unit

Household

Universe

Household export crop farmers

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey covered farming households in all states of the federation and the Federal Capital Territory (FCT) involved in the 14 selected export crops. The number of LGAs allocated to each state for sampling varied from a minimum of 3 to a maximum of 9. The number of LGAs per state was based on the number of export crops grow, the intensity of cultivation, and corresponding output in the state.

A total of 192 LGAs were mapped out for sampling nationwide and in each LGA 10 enumeration areas (EAs) were listed for sampling. This brought the total number of EAs initially slated for sampling nationwide to 1,920.

In each EA, 10 Housing Units (HUs) were to be selected, which brought the total number of HUs covered in the survey to 19,200.

Sampling deviation

192 LGAs were selected nationwide, but due to logistical problems only 182 LGAs were sampled.

Mode of data collection

Face-to-face [f2f]

Research instrument

Holding Questionnaire:

Section I: Holding Identification Section Ii: Access to Land
Section Iii: Source of Funds
Section Iv: Export Crop Farming Section Vii: Market Channel Section Viii: Quantity Sold Section X: Quantity Consumed
Section Xi: Use of Fertilizer
Section Xii: Use of Pesticides Section Xiii: Use of Improved Seedling/Seed

Cleaning operations

The completed questionnaires were collated and edited manually:

(a) Office editing and coding was done by the editor using visual control of the questionnaire before data entry (b) Imps was used to design the data entry template provided as an external resource (c) Six operators plus two supervisors and two programmers were used (d) Six machines were used for data entry (e) The data entry staff used 20 days to do the entries (f) The supervisor used 5 days to check the entries

Response rate

On a national basis, the 2005 survey achieved a response rate of about 77.66% at the Housing Unit level.

Sampling error estimates

No sampling error estimate

China was the leading export destination of agricultural products from Ukraine secured by the Black Sea Grain Initiative as of July 17, 2023, at ***** million metric tons. Furthermore, *** million metric tons went to Spain, while Turkey ranked third. Low and lower-middle income countries received nearly ** percent of grain exports from Ukraine under the agreement as of January 2023. On July 17, 2023, the Russian government announced that it suspended participation in the deal. Why was the Black Sea Grain Initiative suspended? The Black Sea Grain Initiative, an agreement between Ukraine, Russia, Turkey, and the United Nations that opened three Ukrainian ports for agricultural exports, was suspended by the Russian government on July 17, 2023. Russian authorities explained this decision by the alleged failure of the UN to comply with the second part of the agreement, which states that the UN would facilitate that international sanctions are not applied to Russian agricultural products. While the existing sanction regimes exclude Russian food and fertilizer exports, the Russian government argued that the measures imposed on the Russian Agricultural Bank and the fact that no vessel with Russian fertilizers had been sent since the launch of the initiative, hindered the implementation of the second part. How much of the world's agricultural exports comes from Ukraine? The Ukrainian grain market is one of the largest worldwide. In the trade year 2022/2023, Ukraine was the sixth-largest wheat-exporting region. Around **** percent of total wheat exports came from Ukraine in that period. Furthermore, the country accounted for nearly ** percent of global sunflower meal exports and ** percent of sunflower oil.

Abstract

An 'agricultural export commodity' is defined as an exportable crop that is currently grown in country and has great potential for generating foreign exchange for the nation. The 14 crops under consideration in Nigeria are rubber, coffee, cocoa, sesame seed, garlic, tea, ginger, gum arabic, cashew nut, oil palm, groundnut, cotton, sugarcane and shea nut.

Nigeria is earning some foreign exchange from the 14 export crops covered in the survey.

The objective of the survey is to provide a national baseline data on agricultural commodities. Furthermore, the annual survey, among others will help to:

  1. Provide structural data on agricultural export commodities in Nigeria, 

  2. Obtain socio-economic data and demographic characteristics of holders within households, and

  3. Provide production estimates at national and state levels.

Geographic coverage

National, state, and sector (urban/rural).

Analysis unit

Household

Universe

Household export crop farmers and modern agricultural export crop holders.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design employed a two-phase, two-stage sample selection procedure.

Phase 1, stage 1: The listing exercises were conducted during phase 1, stage 1. A total of 192 Local Government Areas (LGAs) were selected throughout the federation and 10 enumeration areas (EAs) were selected in each LGA, totaling 1,920 EAs throughout the country including the Federal Capital Territory (FCT). Most of these LGAs were selected based on the information that they were producing one or more of the 14 selected export crops. No less than three LGAs were selected from each state and FCT.

Phase 1, stage 2: Ten (10) export crop farming housing units were selected in each EA using a systematic selection approach during phase 1, stage 2. All households in each export crop farming housing unit were administered the holding questionnaires.

Phase 2, stage 1: During phase 2, stage 1 the crop cutting exercise were conducted, which included the farm survey, laying yield plots, and harvesting. All 10 EAs in each LGA, covered in the first phase, were selected for crop cutting exercises.

Sampling deviation

No deviation.

Mode of data collection

Face-to-face [f2f]

Research instrument

Federal Republic of Nigeria The National Survey on Agricultural Export Commodities was conducted by the Central Bank of Nigeria in collaboration with the National Bureau of Statistics, Federal Ministry of Agriculture and Rural Development, and Federal Ministry of Commerce.

Holding Questionnaire:

Section I: Holding Identification Section Ii: Access to Land
Section Iii: Source of Funds
Section Iv: Export Crop Farming Section Vii: Market Channel Section Viii: Quantity Sold Section X: Quantity Consumed
Section Xi: Use of Fertilizer
Section Xii: Use of Pesticides Section Xiii: Use of Improved Seedling/Seed

Cleaning operations

The completed questionnaires were collated and edited manually:

(a) Office editing and coding was done by the editor using visual control of the questionnaire before data entry (b) Imps was used to design the data entry template provided as an external resource (c) Six operators plus two supervisors and two programmers were used (d) Six machines were used for data entry (e) The data entry staff used 20 days to do the entries (f) The supervisor used 5 days to check the entries (g) A conversion program was written to convert the data to SPSS which was also provided as an external resource

Response rate

The 2003 Nigeria AGREXP survey achieved a response rate of about 74.86% at the Housing Unit level.

Reasons for non-response was not given.

Sampling error estimates

No sampling error estimate

Data appraisal

In order to ensure high quality data, a two-phase quality check was put in place. During the first phase, the officers skim-checked 10 listing forms and selected 10 holding questionnaires in selected EAs in each state and FCT.

During the second phase, 10 listing forms from 10 holding questionnaires were chosen to be spot-checked from selected EAs in each state and FCT.

Farmers were randomly selected and visited on their farms to authenticate the data entries made by enumerators.

India is one of the major players in the agriculture sector worldwide and it is the primary source of livelihood for ~55% of India’s population. India has the world's largest cattle herd (buffaloes), largest area planted to wheat, rice, and cotton, and is the largest producer of milk, pulses, and spices in the world. It is the second-largest producer of fruit, vegetables, tea, farmed fish, cotton, sugarcane, wheat, rice, cotton, and sugar. Agriculture sector in India holds the record for second-largest agricultural land in the world generating employment for about half of the country’s population. Thus, farmers become an integral part of the sector to provide us with means of sustenance.

Consumer spending in India will return to growth in 2021 post the pandemic-led contraction, expanding by as much as 6.6%. The Indian food industry is poised for huge growth, increasing its contribution to world food trade every year due to its immense potential for value addition, particularly within the food processing industry. The Indian food processing industry accounts for 32% of the country’s total food market, one of the largest industries in India and is ranked fifth in terms of production, consumption, export and expected growth.

This data contains the production and area grown for each crop at ditrict level from 1997 to 2015.

Horticulture was Egypt's largest agriculture export category. As of 2022, some *** million metric tons of horticulture were exported from the country. Roots and tubers were the second most exported agriculture product, with ******* metric tons.

This technical annex provides a description of the quantitative economic model used in the report South America: an emerging competitor for Australia's beef industry. The report focuses on the beef industries of Brazil, Argentina, Uruguay, Paraguay and Australia. There are two objectives. The first is to assess the main drivers behind growth of beef exports from each country between 2000 and 2014. The second is to project the value of beef exports between 2014 and 2030 under scenarios reflecting hypothetical and actual changes to policies and operating environments. A bilateral trade decomposition model was designed to quantify the historical drivers of beef exports from Australia and its major competitors in South America, with the aim of drawing implications for projections of future bilateral trade flows. Projections are developed for the period from 2014 to 2030 that are indicative of the prospects for both regions to expand their exports under three policy scenarios.

In 2023, avocado was the leading agricultural export commodity in Israel, in terms of value. That year, exports of the fruit were valued at about *** million U.S. dollars. The second most valued agricultural export from the country was date fruits, valued at *** million U.S. dollars.

These GIS files represent geographic boundaries for lands that are under the protection of NYS Agricultural District Law, administered by the New York State Department of Agriculture and Markets. The boundaries are derived from county tax parcel data and represent a tax parcel list of agricultural district properties. The data are digitized from 1:24,000 scale maps of individual districts showing boundaries that correspond to tax parcel data. District data is joined into a file representing an entire county. Note that 2003 legislation allows lands to be added to districts on an annual basis. Electronic data provided here may predate those additions. Tax parcel detail and secondary rights-of-way are not included in this dataset. Rights-of-way for state and federal highways, railroads and utilities are only included when they are delineated on the original 1:24,000 scale maps. The data files are in ArcInfo 9.1 export file format.

Evolving environmental conditions due to climate change have brought about changes in agriculture, which is required for human life as both a source of food and income. International trade can act as a buffer against potential negative impacts of climate change on crop yields, but recent years have seen breakdowns in global trade, including export bans to improve domestic food security. For countries that rely heavily on imported food, governments may institute policies to protect their agricultural industry from changes in climate-induced crop yield changes and other countries’ potential trade restrictions. This study assesses the individual and combined effects of climate impacts and food self-sufficiency policies in Korea, which is highly dependent on imports. We use the Global Change Analysis Model (GCAM), a global integrated assessment model, to explore (1) the direct impact of climate change on Korea’s agricultural yields, (2) the full impacts of global climate change on agricultural production, including trade-induced changes due to yield changes in other regions, (3) the impacts of food self-sufficiency policy, and (4) the interactive impact of climate change and self-sufficiency policies. We find that, in Korea, the direct impact of climate change on agricultural yields would be overshadowed by the impact of global climate change due to changing trade patterns. Second, global climate change leads to a rise (rice and wheat) or a decline (soybeans) in Korean producer revenues, while simultaneously raising consumer expenditures on both staples and non-staples. Third, implementing self-sufficiency policies for wheat and soybeans in Korea boosts the nation’s producer revenues, in conjunction with the effects of climate change, at the cost of additional increases in consumer expenditures for both staples and non-staples.

This dataset displays the annual beef and veal exports by country from the United States. This is on a Carcass wt. 1000 pound scale. The time period covered stretches from 2003 to January of 2008.

Snapshot img

Bahrain Agriculture Market Size 2024-2028

The Bahrain agriculture market size is estimated to grow by USD 12.5 million at a CAGR of 1.24% between 2023 and 2028. The market is experiencing significant growth, driven by various factors. One key trend is the increasing government support to boost domestic production through various initiatives and subsidies. Another trend is the growing focus on horticulture and specialty seeds, as consumer preferences shift towards healthier and more diverse food options. However, the market faces challenges such as the declining availability of arable land due to urbanization and climate change. Additionally, the smart agriculture industry must adapt to technological advancements, including precision farming and automation, to increase efficiency and productivity. Overall, the market is poised for growth but must navigate these trends and challenges to remain competitive and sustainable.

What will be the size of the Market During the Forecast Period?

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Market Dynamics and Customer Landscape

Agriculture plays a vital role in the economic development of many countries, particularly those in the Gulf region, where crops like Dates, Figs, Fruits, and Vegetables are grown extensively. However, agriculture in these regions faces significant challenges such as water scarcity and groundwater salinity. To meet the increasing demand for agricultural products, foreign investments are crucial. The consumption of Cereals, Livestock, and Horticulture products is on the rise, necessitating the adoption of advanced technologies like Hydroponic farming and Aquaponic farming. The Agriculture sector in these countries is a significant contributor to the economy, with Production techniques and Subsidies playing a crucial role. The National government and Technology companies are emphasizing Education and training to improve Agricultural productivity. Trade agreements between Gulf member countries and other nations can impact Food imports and exports. Water constraints and high temperatures are major challenges that need to be addressed to ensure sustainable Agriculture. The Metric ton of agricultural products produced is a key indicator of the sector's health. Agricultural land is a valuable resource, and its preservation is essential for future generations. The sector's growth is influenced by various factors, including subsidies, water constraints, and technological advancements. Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

Key Market Driver

The increasing government support to boost domestic production is notably driving the market growth. The government of Bahrain is taking several efforts to improve food security in the country. The Bahrain government planned a new production strategy for food security to increase local production. The NIAD launched an agricultural platform named 'AGRO.BH' to unite efforts toward the development and strengthening of the agricultural sector in Bahrain. The platform will provide the asset in data centralization and management, investment incentive and aid, historical documentation, and research and development.

For the government entities of the Kingdom of Bahrain, the platform AGRO.BH can be used as an important tool to determine trends in the agriculture sector by viewing agricultural publications and research, climatology, soil, water, and agriculture sector workforce data. Additionally, land cover, agricultural zones, and agriculture land use management data can also be accessed to make well-informed high-level decisions. Thus, increasing government support to boost domestic production and e-commerce is a major driver, which is expected to boost the growth of the market during the forecast period.

Significant Market Trend

Growing focus on horticulture is the primary trend in the market. Horticulture is one of the new trends in agriculture production, which has given a boost to agricultural production and is improving the condition of the agriculture industry in Bahrain. Bahrain farmers are highly adopting horticulture, as it is a more cost-effective and sustainable form of agriculture that requires a smaller scale of land and thus low maintenance as a whole. This means that not only smaller scales of land are used but also a low supply of water is required for crop growth.

The major reason for the increasing popularity and adoption of this form of agricultural production method is to maximize growth while making sustainable and efficient use of remaining resources that are available locally. So far, horticulture, supported by advanced fertilizers, has been observed to contribute to the boost of food production in Bahrain, as well as improve its agricultural si

The German agricultural machinery market size was valued at USD XX Billion in 2022 and is projected to reach USD XX Billion by 2031, expanding at a CAGR of 3.8% during the forecast period, 2023 – 2031. The growth of the market is attributed to adoption of modern technologies by farmers to increase farm yield & meet the soaring demand for food.



Agricultural machinery is machinery used in farming or other agriculture activities. There are various types of such equipment, from hand tools & power tools to tractors and numerous kinds of farm implements that they operate or tow. Diverse arrays of equipment are used in both organic & nonorganic farming. Especially since the advent of mechanized agriculture, agricultural machinery is an indispensable part of how the world is fed.

Germany is one of the largest markets for agricultural machinery and implements in Europe, supported by the large turnover for this industry in the country. The country is one of the largest exporters of agricultural machinery in the world, as well as the largest manufacturer and the second-largest consumer of agri-machinery in Europe.



German agricultural machinery is preferred worldwide because of superior, precision, and innovative engineering. Germany is one of the top destinations for FDIs in agricultural, construction, and mining machinery in Europe.



Furthermore, Germany has also developed a very well-trained and skilled workforce to use its state-of-the-art agricultural machinery, which enables the utilization of top technology in crop fields. The harvested area for primary crops in the country has seen an increasing trend in the past few years, from 8.86 million hectare in 2015 to 8.91 hectare in 2018.



The COVID-19 pandemic had an adverse impact

These GIS files represent geographic boundaries for lands that are under the protection of NYS Agricultural District Law, administered by the New York State Department of Agriculture and Markets. The boundaries are derived from county tax parcel data and represent a tax parcel list of agricultural district properties. The data are digitized from 1:24,000 scale maps of individual districts showing boundaries that correspond to tax parcel data. District data is joined into a file representing an entire county. Note that 2003 legislation allows lands to be added to districts on an annual basis. Electronic data provided here may predate those additions. Tax parcel detail and secondary rights-of-way are not included in this dataset. Rights-of-way for state and federal highways, railroads and utilities are only included when they are delineated on the original 1:24,000 scale maps. The data files are in ArcInfo 9.1 export file format.

The Cropland Data Layer (CDL), hosted on CropScape, provides a raster, geo-referenced, crop-specific land cover map for the continental United States. The CDL also includes a crop mask layer and planting frequency layers, as well as boundary, water and road layers. The Boundary Layer options provided are County, Agricultural Statistics Districts (ASD), State, and Region. The data is created annually using moderate resolution satellite imagery and extensive agricultural ground truth. Users can select a geographic area of interest or import one, then access acreage statistics for a specific year or view the change from one year to another. The data can be exported or added to the CDL. The information is useful for issues related to agricultural sustainability, biodiversity, and land cover monitoring, especially due to extreme weather events. Resources in this dataset:Resource Title: CropScape and Cropland Data Layer - National Download. File Name: Web Page, url: https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php Downloads available as zipped files at https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php --

National CDL's -- by year, 2008-2020. Cropland Data Layer provides a raster, geo-referenced, crop-specific land cover map for the continental United States. The CDL also includes a crop mask layer and planting frequency layers, as well as boundary, water and road layers. The Boundary Layer options provided are County, Agricultural Statistics Districts (ASD), State, and Region. National Cultivated Layer -- based on the most recent five years (2013-2020). National Frequency Layer -- the 2017 Crop Frequency Layer identifies crop specific planting frequency and are based on land cover information derived from the 2008 through 2020CDL's. There are currently four individual crop frequency data layers that represent four major crops: corn, cotton, soybeans, and wheat. National Confidence Layer -- the Confidence Layer spatially represents the predicted confidence that is associated with that output pixel, based upon the rule(s) that were used to classify it. Western/Eastern/Central U.S.

Visit https://nassgeodata.gmu.edu/CropScape/ for the interactive map including tutorials and basic instructions. These options include a "Demo Video", "Help", "Developer Guide", and "FAQ".

*************** accounted for the highest value of agricultural exports from India in the financial year 2025. The export of rice and spices ranked second and third that year, respectively.

Testing, Inspection, and Certification (TIC) for Agriculture Market Outlook

The global market size for Testing, Inspection, and Certification (TIC) for Agriculture was valued at approximately USD 20 billion in 2023 and is forecasted to reach around USD 35 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.5% during the forecast period. The growth of this market is driven by increasing regulatory standards and the need for quality assurance in agricultural practices.

One of the primary growth factors driving the TIC for Agriculture market is the rising demand for food safety and quality. With the global population projected to reach 9.7 billion by 2050, ensuring the safety and quality of the food supply is becoming increasingly critical. Consumers are more aware and concerned about food safety issues, pushing governments and regulatory bodies to impose stringent food safety standards. This, in turn, is fueling the demand for testing, inspection, and certification services in the agriculture sector.

Another vital growth factor is the globalization of the food trade. As countries export and import agricultural products, the need for uniform standards and certifications becomes crucial to ensure the safety and quality of these products. TIC services play an essential role in bridging the gap between different countries' regulatory standards, facilitating smoother trade relationships and ensuring that agricultural products meet the required standards of the importing countries. This trend significantly contributes to the expansion of the TIC for Agriculture market.

The advancement and adoption of technology in agriculture, often referred to as AgriTech, also contribute to the market's growth. Innovations such as precision farming, drones, and IoT devices provide new data points and insights into agricultural practices. This data requires thorough testing, inspection, and certification to validate its accuracy and reliability. Moreover, technology integration in agriculture enhances productivity and reduces waste, thereby increasing the importance of TIC services to ensure that technological advancements are effectively implemented and regulated.

The Testing, Inspection, and Certification for Life Sciences sector is experiencing significant growth due to the increasing complexity of healthcare regulations and the need for compliance with international standards. As life sciences companies strive to bring innovative products to market, they face rigorous testing and certification requirements to ensure safety and efficacy. This has led to a surge in demand for specialized TIC services that can navigate the intricate landscape of life sciences regulations. By ensuring that products meet the necessary standards, TIC services play a crucial role in facilitating the global distribution of medical devices, pharmaceuticals, and biotechnology products.

Regionally, the Asia Pacific region is anticipated to dominate the TIC for Agriculture market due to its large agricultural sector and the increasing focus on food safety and quality. The region's growing population and rising disposable incomes drive the demand for high-quality food products, necessitating robust TIC services to maintain safety standards. North America and Europe are also significant markets due to their stringent regulatory frameworks and high standards for food safety. Latin America and the Middle East & Africa are expected to show moderate growth, driven by increasing agricultural activities and the need for compliance with international trade standards.

Service Type Analysis

Testing services in the TIC for Agriculture market play a critical role in ensuring that agricultural products meet safety and quality standards. This segment includes various laboratory tests and analyses to check for contaminants, pesticides, and other harmful substances. The growing incidences of foodborne illnesses and contamination scandals have heightened the importance of testing services. Increasing consumer awareness about food safety and the rising demand for organic and non-GMO products further propel the need for comprehensive testing services. Testing is the foundation of the TIC market, providing the data required for informed decision-making in agriculture.

Inspection services are another crucial component of the TIC for Agriculture market. This segment involves physical inspections of