The average size of farms in the United States has seen a steady increase over the last decade. In 2024, the average farm size reached 466 acres, up from 418 acres in 2007. Between 2006 and 2007 there was a sudden drop in average farm size, but in recent years it has recovered and once again reached the same levels as its peak in 2006. Agriculture in the United States In 2023, there were about 1.9 million farms in the United States, down from 2.2 million in 2007. It appears that as average farm size has increased, the number of individual farms in the United States has decreased. Texas is home to the highest number of farms of any U.S. state, with 231,000 farms as of 2023. Major crops in the United States The United States produces a wide variety of crops. Though the production volumes of some major crops, such as wheat, have fluctuated considerably since 2000, the production of vegetables for processing has been on the rise in recent years. Grapes, apples, and oranges are the most produced fruits in the United States, with the majority of grapes being grown in California.

This statistic shows the average size of U.S. farms from 2019 to 2024, sorted by economic sales class. In 2024, farms belonging to the sales class between 100,000 to 249,999 U.S. dollars had an average size of 799 acres of land.

This statistic depicts the number and average size of farms in the United States from 2012 to 2024. The total number of farms in the U.S. in 1900 was 5,739,657, as compared to1,880,000 in 2024.

In 2024, there were about 1.88 million farms in the United States. However, the number of farms has been steadily dropping since the year 2007, when there were about 2.2 million farms in the United States. U.S. farms In 2007, the average size of farms in the United States was the smallest it had been since the year 2000. As the number of farms in the United States decrease, the average size of farms increases. Texas, the largest state in the contiguous United States, also contains the highest number of farms, at 231 thousand in 2023. Organic farming in the United States The United States has over 2.3 million hectares of organic agricultural land as of 2021. In 2022, organic food sales in the United States amounted to almost 59 billion euros, making it the largest market for organic food worldwide. In 2021, the number of certified organic farms in the United States reached 17,445, up from about 14,185 farms in 2016.

The National Agricultural Statistics Service 2012 Census of Agriculture - FarmsPrepared by Larry Heard, NMCDC, larryheard@gmail.comSource: United States Department of Agriculture 2012 Census of Agriculture, http://www.agcensus.usda.gov/The Census of Agriculture provides a detailed picture every five years of U.S. farms and ranches and the people who operate them.Maps and statistics from the 2012 Census of Agriculture are organized into five broad categories:Crops and Plants – Data on harvested acreage for major field crops, hay, and other forage crops, as well as acreage data for vegetables, fruits, tree nuts, and berries.Economics – Data on agriculture sales, farm income, government payments from conservation and farm programs, amounts received from loans, a broad range of production expenses, and value of buildings and equipment.Farms – Information on farm size, ownership, and Internet access, as well as data on total land in farms, land use, irrigation, fertilized cropland, and enrollment in crop insurance programs.Livestock and Animals – Statistics on cattle and calves, cows and heifers, milk cows, and other cattle, as well as hogs, sheep, goats, horses, and broilers.Operators – Statistics on hired farm labor, tenure, land rented or leased, primary occupation of farm operator, and demographic characteristics such as age, sex, race/ethnicity, and residence location.ArcGIS Map Service: http://arcgis-ersarcgism3xl-1157953884.us-east-1.elb.amazonaws.com/arcgis/rest/services/NASS/farms/MapServer

State fact sheets provide information on population, income, education, employment, federal funds, organic agriculture, farm characteristics, farm financial indicators, top commodities, and exports, for each State in the United States. Links to county-level data are included when available.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Query tool For complete information, please visit https://data.gov.

The Census of Agriculture provides a detailed picture every five years of U.S. farms and ranches and the people who operate them. Conducted by USDA's National Agricultural Statistics Service, the 2012 Census of Agriculture collected more than six million data items directly from farmers. The Ag Census Web Maps application makes this information available at the county level through a few clicks. The maps and accompanying data help users visualize, download, and analyze Census of Agriculture data in a geospatial context. Resources in this dataset:Resource Title: Ag Census Web Maps. File Name: Web Page, url: https://www.nass.usda.gov/Publications/AgCensus/2012/Online_Resources/Ag_Census_Web_Maps/Overview/index.php/ The interactive map application assembles maps and statistics from the 2012 Census of Agriculture in five broad categories:

Crops and Plants – Data on harvested acreage for major field crops, hay, and other forage crops, as well as acreage data for vegetables, fruits, tree nuts, and berries. Economics – Data on agriculture sales, farm income, government payments from conservation and farm programs, amounts received from loans, a broad range of production expenses, and value of buildings and equipment. Farms – Information on farm size, ownership, and Internet access, as well as data on total land in farms, land use, irrigation, fertilized cropland, and enrollment in crop insurance programs. Livestock and Animals – Statistics on cattle and calves, cows and heifers, milk cows, and other cattle, as well as hogs, sheep, goats, horses, and broilers. Operators – Statistics on hired farm labor, tenure, land rented or leased, primary occupation of farm operator, and demographic characteristics such as age, sex, race/ethnicity, and residence location.

The Ag Census Web Maps application allows you to:

Select a map to display from a the above five general categories and associated subcategories. Zoom and pan to a specific area; use the inset buttons to center the map on the continental United States; zoom to a specific state; and show the state mask to fade areas surrounding the state. Create and print maps showing the variation in a single data item across the United States (for example, average value of agricultural products sold per farm). Select a county and view and download the county’s data for a general category. Download the U.S. county-level dataset of mapped values for all categories in Microsoft ® Excel format.

Graph and download economic data for Net farm income, USDA (B1448C1A027NBEA) from 1967 to 2023 about USDA, agriculture, Net, income, GDP, and USA.

Agricultural land (% of land area) in United States was reported at 45.09 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Agricultural land (% of land area) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

The US farm equipment industry is a robust sector projected to experience significant growth in the coming years. With a 2025 market size of $39.56 billion and a Compound Annual Growth Rate (CAGR) of 6.30% from 2025 to 2033, the industry demonstrates consistent expansion. This growth is fueled by several key factors. Increased adoption of precision farming technologies, including GPS-guided machinery and automated systems, enhances efficiency and yields, driving demand for advanced equipment. Furthermore, government initiatives promoting sustainable agricultural practices and supporting farmers through subsidies contribute to market expansion. The rising global population and increasing demand for food security further bolster the industry's growth trajectory. However, challenges such as fluctuating commodity prices, potential supply chain disruptions, and the increasing cost of raw materials for equipment manufacturing present some headwinds. The leading players in this market, including Deere & Company, AGCO Corporation, and CNH Industrial, are actively investing in research and development to innovate and introduce technologically advanced equipment. This competition drives innovation and enhances the overall quality and capabilities of farm machinery available to farmers. Market segmentation, likely categorized by equipment type (tractors, harvesters, planters, etc.), and farm size, influences the specific growth dynamics within various niches. Regional variations in agricultural practices and government policies further shape the market's development. Analyzing these segments and regional differences is crucial for understanding the specific opportunities and challenges within the US farm equipment industry, and tailoring strategies for success. Key drivers for this market are: Low Availability of Skilled Labor, Technological Advancements. Potential restraints include: Increasing Farm Expenditure, Security Concerns in Modern Farming Machinery. Notable trends are: Increasing Average Farm Size.

This map shows the relationship between Federal payments toward conservation and wetlands and payments toward producers not including conservation/wetlands. The data is produced by the USDA National Agricultural Statistics Service (USDA).Areas in yellow show where there are high amounts of Federal payments toward Conservation in comparison to other types, whereas areas in light blue have a higher amount of Federal payments toward all other agriculture in comparison to Conservation. Areas in black have an overall high amount of both types of payments. The map uses size to emphasize which counties received the overall largest receipts in US dollars.In 2017, the average farm received an average of $13,906, and conservation/wetland programs received and average of $6,980. These are the central colors of the map in order to anchor the map around the national figure. Areas with a pattern above or below the national average are highlighted by the colors along the edges of the legend (mentioned in the previous paragraph). For more information about Federal payments in 2017, visit this summary table from the USDA.For more information about the relationship mapping style used in this map, visit this blog. About the data and source:The Census of Agriculture, produced by the USDA National Agricultural Statistics Service (USDA), provides a complete count of America's farms, ranches and the people who grow our food. The census is conducted every five years, most recently in 2017, and provides a in-depth look at the agricultural industry.This layer summarizes payments made to producers by the Federal government from the 2017 Census of Agriculture at the county level.This layer was produced from data downloaded using the USDA's QuickStats Application. The data was transformed using the Pivot Table tool in ArcGIS Pro and joined to the county boundary file provided by the USDA. The layer was published as feature layer in ArcGIS Online.Dataset SummaryPhenomenon Mapped: Payments made to producers by the Federal governmentCoordinate System: Web Mercator Auxiliary SphereExtent: United States including Hawaii and AlaskaVisible Scale: All ScalesSource: USDA National Agricultural Statistics Service QuickStats ApplicationPublication Date: 2017AttributesThis layer provides values for the following attributes. Note that some values are not disclosed (coded as -1 in the layer) to protect the privacy of producers in areas with limited production.Federal Payments - Operations with ReceiptsFederal Payments - Receipts in US DollarsFederal Payments - Receipts in US Dollars per OperationFederal Payments not Including Conservation and Wetland Programs - Operations with ReceiptsFederal Payments not Including Conservation and Wetland Programs - Receipts in US DollarsFederal Payments not Including Conservation and Wetland Programs - Receipts in US Dollars per OperationFederal Payments for Conservation and Wetland Programs - Operations with ReceiptsFederal Payments for Conservation and Wetland Programs - Receipts in US DollarsFederal Payments for Conservation and Wetland Programs - Receipts in US Dollars per OperationConservation and wetland programs include:Conservation Reserve Program (CRP)Wetlands Reserve Program (WRP)Farmable Wetlands Program (FWP)Conservation Reserve Enhancement Program (CREP)Other programs with payments to producers include:2014 Agricultural Act (Farm Bill)Agriculture Risk Coverage (ARC)Price Loss Coverage (PLC)Commodity Credit Corporation (CCC)Loan Deficiency PaymentsDisaster Assistance ProgramsState and local government agricultural program payments and Federal crop insurance payments are not included.Additionally, attributes of State Name, State Code, County Name and County Code are included to facilitate cartography and use with other layers.

The US Farm Equipment Industry size was valued at USD 39.56 Million in 2023 and is projected to reach USD 60.67 Million by 2032, exhibiting a CAGR of 6.30 % during the forecasts periods. This growth is primarily driven by the rising demand for hybrid seeds, which offer superior yield and disease resistance. Government initiatives to promote agricultural innovation and technology adoption, along with increasing food security concerns, have further fueled industry growth. Technological advancements, such as precision farming and autonomous equipment, are transforming operations, enhancing efficiency, and driving demand for farm equipment. Major players in the hybrid seed market include Syngenta, Bayer CropScience, DuPont Pioneer, and Corteva Agriscience. Recent developments include: December 2022: CNH Industrial added new Automation and Autonomy Solutions to the Ag Tech portfolio in Phoenix, Arizona, and the USA. These New Driverless Tillage and Driver Assist Harvest solutions from Raven, and Baler Automation from Case IH and New Holland, can deliver automation and autonomous equipment enhancements and help solve farmers' most significant challenges to increasing productivity., May 2022: AGCO acquired JCA Industries to increase engineering and software development capabilities and to accelerate the development of highly automated and autonomous machines., April 2022: Deere & Company and GUSS Automation formed a joint venture with an LLC in Kingsburg, Calif. Global Unmanned Spray System (GUSS) is a pioneer in semi-autonomous sprayers for orchards and vineyards.. Key drivers for this market are: Low Availability of Skilled Labor, Technological Advancements. Potential restraints include: Increasing Farm Expenditure, Security Concerns in Modern Farming Machinery. Notable trends are: Increasing Average Farm Size.

What?

A dataset containing 313 total variables from 33 secondary sources. There are 261 unique variables, and 52 variables that have the same measurement but are reported for a different year; e.g. average farm size in 2017 (CapitalID: N27a) and 2022 (N27b). Variables were grouped by the community capital framework's seven capitals—Natural (96 total variables), Cultural (38), Human (39), Social (40), Political (18), Financial (67), & Built (15)—and temporally and thematically ordered. The geographic boundary is NOAA NCEI's corn and soybean belt (figure below), which stretches across 18 states and includes N=860 counties/observations. Cover crop data for the 80 Crop Reporting Districts in the boundary are also included for 2015-2021.

Why?

Comprehensively assessing how community capital clustered variables, for both farmers and nonfarmers, impact conservation practices (and perennial groundcover) over time helps to examine county-level farm conservation agriculture practices in the context of community development. We contribute to the robust U.S. cover crop literature a better understanding of how overarching cultural, social, and human factors influence conservation agriculture practices to encourage better farm management practices. Analyses of this Dataverse will be presented as recomendations for farmers, nonfarmers, ag-adjacent stakeholders, and community leaders.

How?

Variables used in this dataset range 20 years, from 2004-2023, though primary analyses focus on data collected between 2017-2024, primarily 2017 and 2022 (NASS Ag Census years). First, JAM-K requested, accessed, and downloaded data, most of which was already publically available. Next, JAM-K cleaned the data and aggregated into one dataset, and made it publically available on Google Drive and Zenodo.

What is 'new' or corrected in version 2?

Edited/amended: Carroll, KY is now spelled correctly (two 'l's, not one); variable names, full and abbreviated, were updated to include the data year; Pike County's (IL) FIPS has been corrected from its wrong 17153 (same as Pulaski County) to 17149 (correct fips), and all Pike County (IL) data has been correctly amended; Farming dependent (ERS) updated for all variables; Data for built capital variables irrCorn17, irrSoy17, irrHcrp17, tractor17, and combine17 were incorrect for v.1, but were corrected for v.2; Several variable labels aggregated by Wisconsin University's Population Health Institute's County Health Rankings and Roadmaps were corrected to have the data's original source and years included, rather than citing CHR&R as the source (except for CHR&R's originally-produced values such as quartiles or rank scores); variables were reorganized by hypothesized community capital clusters (Natural -> Built), and temporally within each cluster.

Added: 55 variables, mostly from the 2022 Ag Census.

Omitted: Four variables deemed irrelevant to the study; V1 codebook's "years internally available" column.

CRediT: conceptualization, CBF, JAM-K; methodology, JAM-K; data aggregation and curation, JAM-K; formal analysis, JAM-K; visualization, JAM-K; supervision, CBF; funding acquisition, CBF; project administration, CBF; resources, CBF, JAM-K

Acknowledgements: This research was funded by the Agriculture and Food Research Initiative Competitive Grant No. 2021-68012-35923 from the United States Department of Agriculture National Institute for Food and Agriculture. Any opinions, findings, conclusions, or recommendations expressed in this presentation are those of the authors and do not necessarily reflect the view of the U.S. Department of Agriculture. Much thanks to Corteva for granting data access of OpTIS 2.0 (2005-2019), and Austin Landini for STATA code and visualization assistance.

The precision farming software market is experiencing robust growth, driven by the increasing need for optimized resource utilization and enhanced crop yields in agriculture. A compound annual growth rate (CAGR) of 14% from 2019 to 2024 suggests a significant expansion, indicating a strong market pull towards technology-driven solutions. The market's segmentation reveals a diverse landscape, with crop management, financial management, and farm inventory management software as key application areas. Cloud-based solutions are gaining traction due to their accessibility, scalability, and real-time data capabilities, surpassing the local or web-based software segment in growth rate. Major players like John Deere, Trimble, and others are heavily investing in R&D, resulting in sophisticated software offering advanced analytics and predictive capabilities. The market's regional distribution likely mirrors global agricultural production patterns, with North America and Europe holding substantial market share initially, followed by a rapid expansion in the Asia-Pacific region due to increasing farm mechanization and technological adoption. Further growth is propelled by several factors. The increasing availability of affordable high-speed internet and mobile technologies is expanding the reach of precision farming software to smaller farms and developing countries. Government initiatives promoting digital agriculture are also fueling adoption, alongside the growing demand for sustainable and efficient farming practices to address concerns about climate change and resource scarcity. However, challenges remain, including the high initial investment costs for some software solutions, the digital literacy gap among farmers, and data security concerns. Overcoming these barriers will be crucial for sustaining the market's impressive growth trajectory. The forecast period of 2025-2033 anticipates continuous expansion, with likely shifts in market share among different segments and regions as technology evolves and adoption rates vary. We can project significant increases in market size, potentially reaching several billions of dollars by 2033, based on the sustained CAGR and expanding global demand for efficient agricultural solutions. Recent developments include: January 2022: John Deere introduced a fully autonomous tractor. The machine combined Deere's 8R tractor, TruSet-enabled chisel plow, GPS guidance system, and new advanced technologies, which will help the company expand its footprint in the precision agriculture field., November 2021: CNH Industrial acquired Raven Industries, a leading precision agriculture technology company in the United States, for USD 1.2 billion. This acquisition is expected to help the company invest and innovate in groundbreaking precision agriculture technology., May 2021: John Deere announced the acquisition of autonomous driving technology-based startup Bear Flag Robotics for USD 250 million. This acquisition is expected to help both companies deliver advanced technological solutions to farmers.. Notable trends are: Farm Labor Shortage and Rise in Average Farm Size.

The U.S. Indoor Farming Market size was valued at USD 4.40 billion in 2023 and is projected to reach USD 9.67 billion by 2032, exhibiting a CAGR of 11.9 % during the forecasts period. This evidence indicates that the U. S. indoor farming market is expanding as the population evolves to require an adequate method of food sustenance. Agriculture that is conducted in controlled environments such as closed structures, green houses, hydroponics, aeration, and aqua ponds. It makes it possible to harvest all around the year, increased production and little or no use of water in production as compared to normal farming. Application include cultivation of vegetables and fruits, herbs in the urban setting, which can be either in vertical farming or in the greenhouse. Uses cover such areas as local food supply, special crops, among others. Some of the major trends that the current market has witnessed are; the development of AI and IoT for better farming or cropping, progress in lighting solution for plant i. e. LED lighting and shifting towards on professional, organic farming and pest-free mode of cultivation. With the increase in concern over the freshness of food and the local food security, indoor farming is a viable solution in realizing these needs. Recent developments include: In March 2023, Elevate Farms announced the commencement of operations at its first wholly-owned US farm, located in Orange, New Jersey ("Elevate New Jersey"). The entire Elevate New Jersey facility measures 14,000 square feet which includes 4,750 square feet of unmanned, fully autonomous, grow room space along with processing, packaging, and administration. The farm can produce up to 11,000,000 plants, or equal to 500,000 pounds of plants, annually. , In January 2024, Forever Feed Technologies, announced a definitive agreement with Dr. Greenhouse, Inc., to design the controlled environment for an enterprise-scale indoor feed mill at the River Ranch Dairy in Hanford, California. The feed mill will grow Automated Sprouted Grain (ASG) to enrich the diets of over 5,000 dairy cows. FFT anticipates the indoor feed mill will begin production in late 2024. .

This dataset contains estimates of proportional area of 18 major crops for each county in the United States at roughly decadal time steps between 1840 and 2017, and was used for analyses of historical changes in crop area, diversity, and distribution published in:Crossley, MS, KD Burke, SD Schoville, VC Radeloff. (2020). Recent collapse of crop belts and declining diversity of US agriculture since 1840. Global Change Biology (in press).The original data used to curate this dataset was derived by Haines et al. (ICPSR 35206) from USDA Agricultural Census archives (https://www.nass.usda.gov/AgCensus/). This dataset builds upon previous work in that crop values are georeferenced and rectified to match 2012 county boundaries, and several inconsistencies in the tabular-formatted data have been smoothed-over. In particular, smoothing included conversion of values of production (e.g. bushels, lbs, typical of 1840-1880 censuses) into values of area (using USDA NASS yield data), imputation of missing values for certain crop x county x year combinations, and correcting values for counties whose crop totals exceeded the possible land area.Please contact the PI, Mike Crossley, with any questions or requests: mcrossley3@gmail.com

Abstract (en): This collection includes county-level data from the United States Censuses of Agriculture for the years 1840 to 2012. The files provide data about the number, types, output, and prices of various agricultural products, as well as information on the amount, expenses, sales, values, and production of machinery. Most of the basic crop output data apply to the previous harvest year. Data collected also included the population and value of livestock, the number of animals slaughtered, and the size, type, and value of farms. Part 46 of this collection contains data from 1980 through 2010. Variables in part 46 include information such as the average value of farmland, number and value of buildings per acre, food services, resident population, composition of households, and unemployment rates. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. Response Rates: Not applicable. Datasets:DS0: Study-Level FilesDS1: Farm Land Value Data Set (County and State) 1850-1959DS2: 1840 County and StateDS3: 1850 County and StateDS4: 1860 County and StateDS5: 1870 County and StateDS6: 1880 County and StateDS7: 1890 County and StateDS8: 1900 County and StateDS9: 1910 County and StateDS10: 1920 County and State, Dataset 1DS11: 1920 County and State, Dataset 2DS12: 1925 County and StateDS13: 1930 County and State, Dataset 1DS14: 1930 County and State, Dataset 2DS15: 1935 County and StateDS16: 1940 County and State, Dataset 1DS17: 1940 County and State, Dataset 2DS18: 1940 County and State, Dataset 3DS19: 1940 County and State, Dataset 4 (Water)DS20: 1945 County and StateDS21: 1950 County and State, Dataset 1DS22: 1950 Crops, County and State, Dataset 2DS23: 1950 County, Dataset 3DS24: 1950 County and State, Dataset 4DS25: 1954 County and State, Dataset 1DS26: 1954 Crops, County and State, Dataset 2DS27: 1959 County and State, Dataset 1DS28: 1959 Crops, County and State, Dataset 2DS29: 1959 County, Dataset 3DS30: 1964 Dataset 1DS31: 1964 Crops, County and State, Dataset 2DS32: 1964 County, Dataset 3DS33: 1969 All Farms, County and State, Dataset 1DS34: 1969 Farms 2500, County and State, Dataset 2DS35: 1969 Crops, County and State, Dataset 3DS36: 1974 All Farms, County and State, Dataset 1DS37: 1974 Farms 2500, County and State, Dataset 2DS38: 1974 Crops, County and State, Dataset 3DS39: 1978 County and StateDS40: 1982 County and StateDS41: 1987 County and StateDS42: 1992 County and StateDS43: 1997 County and StateDS44: 2002 County and StateDS45: 2007 County and StateDS46: State and County Data, United States, 1980-2010DS47: 2012 County and State Farms within United States counties and states. Smallest Geographic Unit: FIPS code The sample was the universe of agricultural operating units. For 1969-2007, data were taken from computer files from the Census Bureau and the United States Department of Agriculture. 2018-08-20 The P.I. resupplied data and documentation for 1935 County and State (dataset 15) and 1997 County and State (dataset 43). Additionally, documentation updates and variable label revisions have been incorporated in datasets 22, 26, 28, 31, 35, and 38 at the request of the P.I.2016-06-29 The data and documentation for 2012 County and State (data set 47) have been added to this collection. The collection and documentation titles have been updated to reflect the new year.2015-08-05 The data, setup files, and documentation for 1964 Dataset 1 have been updated to reflect changes from the producer. Funding insitution(s): National Science Foundation (NSF-SES-0921732; 0648045). United States Department of Health and Human Services. National Institutes of Health (R01 HD057929).

The South America Agricultural Sprayers Market size was valued at USD 501.09 Million in 2023 and is projected to reach USD 748.00 Million by 2032, exhibiting a CAGR of 5.89 % during the forecasts periods. This growth is primarily driven by the increasing demand for hybrid seeds, proactive government initiatives promoting agriculture, rising food security concerns, and continuous technological advancements in agricultural practices. Hybrid seeds offer superior yield, resistance to pests and diseases, and adaptability to diverse climatic conditions, leading to their widespread adoption. Additionally, government initiatives, such as financial incentives, research grants, and infrastructure development, have played a vital role in bolstering the market growth. Recent developments include: September 2022: John Deere has launched its 'see and spray' technology on one of the new sprayers released at the Farm Progress Show. The machine combines targeted spray technology with a conventional broadcast system to offer growers options throughout the season and it is the first green-on-green targeted spray technology to be commercialized by the company., June 2022: Bosch BASF Smart Farming GmbH, the joint venture between Bosch and BASF Digital Farming, has made a commercial sales collaboration for its Smart Spraying solution with Stara to create a line for the Imperador 4000 Eco Spray smart sprayer, following successful product trials in Brazil which enables to bring in the market with innovative Smart Spraying solution in Latin America.. Key drivers for this market are: Brazilian Farm Structure and Consolidation of Smaller Farms, Technological Advancements. Potential restraints include: High Cost of Equipment and Price Sensitivity, Data Privacy Concerns. Notable trends are: Increase in Average Farm Size Leading To Adoption of Agricultural Sprayers.

Data in acres on seeded and harvested areas, production, amount utilized, average price and value of sales of potatoes in Canadian dollars.

North America Agricultural Robots Market size was valued at USD 5.3 Billion in 2024 and is projected to reach USD 13.5 Billion by 2031, growing at a CAGR of 23.5% from 2024 to 2031.

North America Agricultural Robots Market Drivers

Labor Lack and Workforce Aging: North America's agriculture sector is facing a substantial labor deficit, which is being driven by an aging workforce and diminishing interest in traditional farming vocations. According to the United States Department of Agriculture (USDA), farmers' average age has continuously climbed, reaching 57.5 years in 2017. This demographic transition has created an urgent demand for robotic solutions to cover labor shortfalls. According to the American Farm Bureau Federation, 56% of farms are having difficulty finding enough personnel, making robots and automation more appealing for sustaining agricultural output. Precision Agriculture and Resource Optimization: Technological breakthroughs are increasing the usage of agricultural robots as a tool for improving precision farming operations. According to the National Agricultural Statistics Service, precision agricultural technology can help farmers save 15-20% on input costs while increasing crop yields. Agricultural robots with powerful sensors and AI can offer extremely precise data on crop health, soil conditions, and resource allocation. Increasing Food Demand and Climate Change Adaptation: The growing world population and the problems posed by climate change are putting unprecedented strain on agricultural output. The United Nations estimates that global food production must rise by 70% by 2050 to feed the world's expanding population. Agricultural robots are developing as a vital tool for meeting this problem. According to a National Resources Conservation Service assessment, robotic technology can help farmers adapt to changing climate conditions by improving crop management, water conservation, and yield optimization.