Quick Stats API is the programmatic interface to the National Agricultural Statistics Service's (NASS) online database containing results from the 1997, 2002, 2007, and 2012 Censuses of Agriculture as well as the best source of NASS survey published estimates. The census collects data on all commodities produced on U.S. farms and ranches, as well as detailed information on expenses, income, and operator characteristics. The surveys that NASS conducts collect information on virtually every facet of U.S. agricultural production.
Success.ai’s Agricultural Data provides unparalleled access to verified profiles of agriculture and farming leaders worldwide. Sourced from over 700 million LinkedIn profiles, this dataset includes actionable insights and contact details for professionals shaping the global agricultural landscape. Whether your objective is to market agricultural products, establish partnerships, or analyze industry trends, Success.ai ensures your outreach is powered by accurate, enriched, and continuously updated data.
Why Choose Success.ai’s Agricultural Data? Comprehensive Professional Profiles
Access verified LinkedIn profiles of farm owners, agricultural consultants, supply chain managers, agribusiness executives, and industry leaders. AI-validated data ensures 99% accuracy, minimizing wasted outreach and improving communication efficiency. Global Coverage Across Agricultural Sectors
Includes professionals from crop farming, livestock production, agricultural technology, and sustainable farming practices. Covers key regions such as North America, Europe, APAC, South America, and Africa. Continuously Updated Dataset
Real-time updates reflect role changes, organizational shifts, and emerging trends in agriculture and farming. Tailored for Agricultural Insights
Enriched profiles include professional histories, areas of specialization, and industry affiliations for deeper audience understanding. Data Highlights: 700M+ Verified LinkedIn Profiles: Gain access to a global network of agricultural and farming professionals. 100M+ Work Emails: Communicate directly with decision-makers in agribusiness and farming. Enriched Professional Histories: Understand career trajectories, expertise, and organizational affiliations. Industry-Specific Segmentation: Target professionals in crop farming, agtech, and sustainable agriculture with precision filters. Key Features of the Dataset: Agriculture and Farming Professional Profiles
Identify and connect with farm operators, agricultural consultants, supply chain managers, and agribusiness leaders. Engage with professionals responsible for farm management, equipment procurement, and sustainable farming initiatives. Detailed Firmographic Data
Leverage insights into farm sizes, crop or livestock focus, geographic distribution, and operational scales. Customize outreach to align with specific farming practices or market needs. Advanced Filters for Precision Targeting
Refine searches by region, type of agriculture (crop farming, livestock, horticulture), or years of experience. Customize campaigns to address unique challenges such as climate adaptation or supply chain optimization. AI-Driven Enrichment
Enhanced datasets deliver actionable data for personalized campaigns, highlighting certifications, achievements, and key projects. Strategic Use Cases: Marketing Agricultural Products and Services
Promote farm equipment, crop protection solutions, or livestock management tools to decision-makers in agriculture. Engage with professionals seeking innovative solutions to enhance productivity and sustainability. Collaboration and Partnerships
Identify agricultural leaders for collaborations on sustainability programs, research projects, or community initiatives. Build partnerships with agribusinesses, cooperatives, or government bodies driving agricultural development. Market Research and Industry Analysis
Analyze trends in crop yields, livestock production, and agricultural technology adoption. Use insights to refine product development and marketing strategies tailored to evolving industry needs. Recruitment and Talent Acquisition
Target HR professionals and agricultural firms seeking skilled farm managers, agronomists, or agtech specialists. Support hiring for roles requiring agricultural expertise and leadership. Why Choose Success.ai? Best Price Guarantee
Access industry-leading Agricultural Data at the most competitive pricing, ensuring cost-effective campaigns and strategies. Seamless Integration
Easily integrate verified agricultural data into CRMs, recruitment platforms, or marketing systems using APIs or downloadable formats. AI-Validated Accuracy
Depend on 99% accurate data to minimize wasted outreach and maximize engagement outcomes. Customizable Solutions
Tailor datasets to specific agricultural segments, regions, or areas of focus to meet your strategic objectives. Strategic APIs for Enhanced Campaigns: Data Enrichment API
Enhance existing records with verified agricultural profiles to refine targeting and engagement. Lead Generation API
Automate lead generation for a consistent pipeline of qualified professionals in the agriculture sector, scaling your outreach efficiently. Success.ai’s Agricultural Data empowers you to connect with the leaders and innovators transforming global agriculture. With verified contact details, enriched professional profiles, and global reach, your marketing, partn...
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Explore how APIs are revolutionizing agriculture by enhancing precision farming, smart farming solutions, supply chain management, and data sharing, leading to greater efficiency, sustainability, and productivity in the industry.
As per our latest research, the global Smart Agriculture API market size reached USD 2.14 billion in 2024, reflecting the growing integration of advanced digital technologies in the agricultural sector. The market is poised for robust expansion, with a projected CAGR of 13.9% from 2025 to 2033. By the end of the forecast period, the Smart Agriculture API market size is expected to reach USD 6.16 billion. This rapid growth is primarily driven by the increasing adoption of precision farming, the proliferation of IoT-enabled devices, and the rising need for real-time data exchange to optimize farm management and productivity.
The surge in demand for Smart Agriculture APIs is fundamentally propelled by the agricultural sector's shift toward digital transformation. APIs (Application Programming Interfaces) are becoming indispensable for integrating disparate agricultural technologies, enabling seamless communication between farm management systems, sensors, drones, and other digital tools. The need for real-time, data-driven decision-making is accelerating the adoption of Smart Agriculture APIs, as farmers and agribusinesses seek to maximize yield, minimize resource wastage, and enhance operational efficiency. Furthermore, government initiatives and subsidies supporting smart farming practices are incentivizing stakeholders to invest in API-driven solutions, further fueling market growth.
Another significant growth factor is the proliferation of connected devices and IoT technologies in the agriculture sector. Modern farms are increasingly equipped with sensors, automated irrigation systems, GPS-guided tractors, and livestock monitoring devices. APIs play a pivotal role in aggregating and harmonizing data from these devices, enabling actionable insights through advanced analytics platforms. This connectivity not only streamlines farm operations but also opens new avenues for predictive analytics, remote monitoring, and automated response systems, all of which are essential for sustainable agriculture in the face of climate change and resource constraints. As the number of connected devices continues to rise, the demand for robust, scalable Smart Agriculture APIs will only intensify.
The evolving landscape of agribusiness and the need for interoperability among various software platforms are also key drivers of the Smart Agriculture API market. With the increasing complexity of agricultural supply chains and the growing importance of traceability and transparency, APIs are being leveraged to connect stakeholders across the value chain, from input suppliers to retailers. This interconnected ecosystem allows for efficient data sharing, improved supply chain visibility, and enhanced compliance with regulatory standards. Additionally, the integration of AI and machine learning capabilities through APIs is enabling predictive modeling and risk assessment, which are crucial for optimizing crop planning and resource allocation.
From a regional perspective, North America currently dominates the Smart Agriculture API market, owing to its advanced technological infrastructure and early adoption of precision farming techniques. However, Asia Pacific is anticipated to witness the highest growth rate during the forecast period, driven by increasing investments in agricultural modernization, government support for smart farming initiatives, and the rapid expansion of agritech startups. Europe also represents a significant market, with a strong focus on sustainable agriculture and stringent regulatory frameworks promoting digital innovation. Meanwhile, Latin America and the Middle East & Africa are gradually embracing smart agriculture solutions, supported by efforts to enhance food security and improve agricultural productivity.
The Smart Agriculture API market by component is segmented into Platform, Services, and Solutions. The Platform segment forms the backbone of the market, providing the foundational infrastructure for API integration and management across various agri
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According to our latest research, the global Smart Agriculture API market size reached USD 1.82 billion in 2024, underscoring the growing influence of digital technologies in the agricultural sector. The market is poised for robust expansion, with a projected CAGR of 17.6% from 2025 to 2033. By 2033, the market is expected to attain a value of USD 6.23 billion, driven by the rising adoption of precision agriculture, the proliferation of IoT devices, and the growing emphasis on data-driven farming practices. As per our latest research, this surge is further supported by increased investments in agri-tech solutions and the urgent need for sustainable food production to support a growing global population.
The Smart Agriculture API market is being propelled by several significant growth factors. Chief among these is the rapid digital transformation within the agriculture sector, where farmers and agribusinesses are increasingly leveraging APIs to integrate disparate data sources, automate workflows, and optimize resource utilization. The emergence of IoT-enabled devices and sensors has created a vast network of interconnected endpoints, generating immense volumes of data that require seamless integration and analysis. APIs play a pivotal role in facilitating this integration, enabling real-time data exchange between hardware, software platforms, and cloud-based analytics tools. This synergy enhances decision-making capabilities, supports predictive analytics, and ultimately boosts crop yields and livestock productivity. The drive toward sustainable agriculture, with its emphasis on minimizing resource wastage and reducing environmental impact, further accelerates the demand for robust API solutions that can orchestrate complex data flows and support precision farming initiatives.
Another crucial driver for the Smart Agriculture API market is the increasing collaboration between technology providers, agricultural equipment manufacturers, and research institutions. These collaborations are fostering the development of interoperable platforms where APIs act as the backbone, ensuring seamless data sharing and integration across various devices and systems. The agricultural sector is witnessing a shift from traditional, siloed operations to more connected and intelligent farming ecosystems. APIs enable this transition by providing standardized interfaces for accessing, manipulating, and visualizing data from sensors, drones, weather stations, and farm management systems. This interoperability not only streamlines farm operations but also opens new avenues for value-added services such as remote diagnostics, automated irrigation, and pest management. Furthermore, the integration of AI and machine learning models through APIs is enabling predictive insights, empowering farmers to make more informed decisions regarding planting schedules, input application, and harvest timing.
The Smart Agriculture API market is also benefiting from supportive government policies and increasing investments in smart farming infrastructure. Governments across the globe are launching initiatives to promote digital agriculture, offering subsidies and incentives for the adoption of advanced technologies. These policies are encouraging both smallholder and large-scale farmers to embrace API-driven solutions for enhanced productivity and profitability. Additionally, venture capital and private equity firms are actively investing in agri-tech startups, fueling innovation and accelerating the deployment of API-based platforms. The growing awareness of food security challenges and the impact of climate change on agriculture is further driving the adoption of smart APIs to monitor, analyze, and mitigate risks associated with weather variability, pest outbreaks, and resource scarcity. As a result, the market is witnessing a steady influx of new entrants and solution providers, intensifying competition and spurring technological advancements.
Regionally, the Smart Agriculture API market exhibits diverse growth patterns, with North America and Europe leading in terms of technology adoption and market share. North America, in particular, is characterized by the presence of large-scale commercial farms, advanced agri-tech infrastructure, and a strong ecosystem of technology vendors and research institutes. Europe follows closely, driven by stringent environmental regulations and a high degree of digitization in farming practices. Meanwhile, the Asia Pacific region is emerging as a high-growth market, fueled by government initia
According to our latest research, the global Precision Ag API market size reached USD 1.04 billion in 2024, reflecting robust growth driven by technological advancements and the increasing adoption of digital agriculture solutions. The market is projected to expand at a CAGR of 15.1% during the forecast period, reaching a value of USD 3.92 billion by 2033. This sustained growth is largely attributed to the rising demand for data-driven farming practices, the proliferation of IoT-enabled agricultural equipment, and the need for improved crop yields and resource efficiency.
One of the primary growth factors fueling the Precision Ag API market is the rapid digitization of agriculture. As the global population continues to rise, the pressure to maximize agricultural productivity with minimal environmental impact intensifies. Precision Ag APIs play a pivotal role in integrating disparate data sources from sensors, drones, satellite imagery, and farm management software, enabling farmers and agribusinesses to make more informed decisions. The seamless data exchange facilitated by APIs enhances operational efficiency, reduces resource wastage, and supports the implementation of sustainable farming techniques. Additionally, the integration of artificial intelligence and machine learning into API platforms further augments the capability to predict crop health, monitor soil conditions, and optimize input usage.
Another significant driver for the Precision Ag API market is the increasing adoption of cloud-based solutions and IoT technologies in agriculture. The proliferation of connected devices and sensors across farmlands has generated enormous volumes of data, necessitating robust APIs for data aggregation, analysis, and actionable insights delivery. Cloud-based API platforms offer scalability, real-time data access, and remote farm management capabilities, which are particularly beneficial for large-scale farms and agribusinesses operating across multiple geographies. Furthermore, government initiatives promoting digital agriculture and the availability of funding for technology adoption are accelerating the deployment of precision agriculture APIs, especially in developed regions.
The expanding ecosystem of agricultural technology startups and collaborations between agritech companies and traditional agricultural enterprises is also propelling the Precision Ag API market. These partnerships are fostering innovation in API development, with a focus on interoperability, data security, and ease of integration with existing farm management systems. The growing emphasis on open data standards and API marketplaces is making it easier for farmers, cooperatives, and research institutes to access and utilize advanced analytics and automation tools. As these trends continue, the market is expected to witness a surge in the development of specialized APIs tailored to specific crops, regions, and farming practices.
From a regional perspective, North America currently dominates the Precision Ag API market, accounting for the largest share in 2024, owing to the high adoption rate of advanced agricultural technologies, well-established agribusiness infrastructure, and strong support from government and research institutions. However, the Asia Pacific region is expected to exhibit the fastest growth during the forecast period, driven by increasing investments in smart agriculture, rising awareness among farmers, and the rapid expansion of agritech startups. Europe is also witnessing significant growth, supported by stringent environmental regulations and the push for sustainable agriculture. Latin America and the Middle East & Africa are gradually embracing precision agriculture technologies, with a focus on improving food security and resource management.
The Component segment of the Precision Ag API market is divided into software, hardware, and services, each playing a crucial role in the overall ecosystem. Software APIs are a
The Agricultural Price Index (API) is a monthly publication that measures the price changes in agricultural outputs and inputs for the UK. The output series reflects the price farmers receive for their products (referred to as the farm-gate price). Information is collected for all major crops (for example wheat and potatoes) and on livestock and livestock products (for example sheep, milk and eggs). The input series reflects the price farmers pay for goods and services. This is split into two groups: goods and services currently consumed; and goods and services contributing to investment. Goods and services currently consumed refer to items that are used up in the production process, for example fertiliser, or seed. Goods and services contributing to investment relate to items that are required but not consumed in the production process, such as tractors or buildings.
A price index is a way of measuring relative price changes compared to a reference point or base year which is given a value of 100. The year used as the base year needs to be updated over time to reflect changing market trends. The latest data are presented with a base year of 2020 = 100. To maintain continuity with the current API time series, the UK continues to use standardised methodology adopted across the EU. Details of this internationally recognised methodology are described in the https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/ks-bh-02-003" class="govuk-link">Handbook for EU agricultural price statistics.
Please note: The historical time series with base years 2000 = 100, 2005 = 100, 2010 = 100 and 2015 = 100 are not updated monthly and presented for archive purposes only. Each file gives the date the series was last updated.
For those commodities where farm-gate prices are currently unavailable we use the best proxy data that are available (for example wholesale prices). Similarly, calculations are based on UK prices where possible but sometimes we cannot obtain these. In such cases prices for Great Britain, England and Wales or England are used instead.
Next update: see the statistics release calendar.
As part of our ongoing commitment to compliance with the Code of Practice for Official Statistics we wish to strengthen our engagement with users of Agricultural Price Indices (API) data and better understand how data from this release is used. Consequently, we invite you to register as a user of the API data, so that we can retain your details and inform you of any new releases and provide you with the opportunity to take part in any user engagement activities that we may run.
Agricultural Accounts and Market Prices Team
Email: prices@defra.gov.uk
You can also contact us via Twitter: https://twitter.com/DefraStats
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As per our latest research, the global Precision Ag API market size in 2024 is valued at USD 1.32 billion, reflecting robust momentum driven by the digital transformation of agriculture. The market is projected to expand at a CAGR of 17.6% from 2025 to 2033, reaching a forecasted market size of USD 6.23 billion by 2033. This rapid growth is underpinned by increasing adoption of precision agriculture technologies, rising demand for data-driven farming solutions, and the integration of IoT and AI across the agricultural value chain.
One of the primary growth factors for the Precision Ag API market is the escalating need for enhanced productivity and resource optimization in agriculture. As global population rises and arable land becomes increasingly scarce, farmers and agribusinesses are seeking advanced tools to maximize yields while minimizing input costs. Precision Ag APIs enable seamless integration of disparate data sources, such as satellite imagery, soil sensors, and equipment telemetry, allowing for real-time decision-making and actionable insights. This capability is particularly crucial for large-scale operations, where managing vast tracts of land and diverse crop portfolios demands precise, data-driven interventions. Furthermore, APIs facilitate interoperability between various agtech solutions, promoting a unified digital ecosystem that streamlines farm management processes.
Another significant driver fueling the Precision Ag API market is the proliferation of smart farming equipment and connected devices. Modern tractors, drones, and irrigation systems are increasingly equipped with sensors and connectivity modules that generate massive amounts of data. Precision Ag APIs serve as the backbone for aggregating, analyzing, and distributing this data across platforms, empowering stakeholders to monitor crop health, soil moisture, and weather conditions with unprecedented accuracy. The rising trend of farm automation and the advent of autonomous machinery further amplify the demand for robust API frameworks that can handle complex workflows and ensure seamless communication between hardware and software components.
The expansion of government initiatives and supportive regulatory frameworks also play a pivotal role in accelerating the adoption of Precision Ag APIs. Many countries are investing in digital agriculture infrastructure and incentivizing the deployment of smart farming solutions to address food security challenges and promote sustainable practices. These initiatives often include funding for research and development, subsidies for technology adoption, and the establishment of data standards that facilitate API integration. As a result, both established agribusinesses and emerging startups are increasingly leveraging APIs to develop innovative solutions that cater to the evolving needs of modern agriculture, further propelling market growth.
From a regional perspective, North America currently dominates the Precision Ag API market, driven by early adoption of digital farming technologies, strong presence of leading agtech companies, and a well-established agricultural sector. However, Asia Pacific is poised for the fastest growth over the forecast period, fueled by rising investments in smart agriculture, expanding agritech ecosystems, and supportive government policies in countries such as China, India, and Australia. Europe also presents significant growth opportunities, particularly in countries focused on sustainable farming and environmental stewardship. Meanwhile, Latin America and the Middle East & Africa are witnessing gradual adoption, primarily led by large-scale commercial farms and international development projects.
The Precision Ag API market is segmented by component into software, hardware, and services, each playing a distinct role in enabling the digital transformation of agriculture. Software APIs form the core of the market, facilitating seamless data exchange and integration between various agricultural applications and platforms. These APIs enable functionalities such as real-time monitoring, predictive analytics, and automated reporting, which are critical for effective farm management. As the complexity of agricultural operations increases, the demand for sophisticated software APIs capable of handling large datasets and supporting advanced analytics is expected to surge. Furthermore, the trend towards open-sour
The Map Service (WFS Group) provides the map bases of the Land Development Plan Environment (2004) and Settlement (2006) of the Saarland.:Spatial representation of priority areas for agriculture (VL) within the framework of the LEP Environment 2004.
The Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date exports broken down by agricultural and nonagricultural commodities. The USDA endpoint in the Census data API provides value, shipping weight, and method of transportation totals at the district level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. If you have any questions regarding U.S. international trade data, please call us at 1(800)549-0595 option #4 or email us at eid.international.trade.data@census.gov.
In the past decade the number of farmers' markets in New York State has grown at a rapid rate. The dataset contains information detailing the time and location of community farmers' markets as well as the name and phone number of the market manager.
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FAS's PSD Online data for those commodities published in the WASDE Report are reviewed and updated monthly by an interagency committee chaired by USDA's World Agricultural Outlook Board (WAOB), and consisting of: the Foreign Agricultural Service (FAS), the Economic Research Service (ERS), the Farm Service Agency (FSA), and the Agricultural Marketing Service (AMS). The international portion of the data is updated with input from agricultural attachés stationed at U.S. embassies around the world, FAS commodity analysts, and country and commodity analysts with ERS. The U.S. domestic component is updated with input from analysts in FAS, ERS, the National Agricultural Statistical Service, and FSA. Interagency work on the database is carried out under the aegis of the WAOB. The official USDA supply and use data is published monthly in: WAOB, World Agricultural Supply and Demand Estimates (WASDE); in the foreign agricultural commodity circular series issued by FAS; and in the regional situation and outlook reports and monthly commodity newsletters of ERS (see keywords Crops and Animal Products) data for horticultural products are usually published twice a year. Resources in this dataset:Resource Title: PSD Web API. File Name: Web Page, url: https://apps.fas.usda.gov/psdonline/app/index.html#/app/about Programmatically access Production, Supply, and Distribution data via Web API.
The API is a measure of the monthly price changes in agricultural outputs and inputs for the UK. The output series reflects the price farmers receive for their products, also referred to as farm gate price. Information is collected for all major crops (for example wheat and potatoes) and on livestock and livestock products (for example sheep, milk and eggs). The input series reflects the price farmers pay for goods and services. This is split into two groups: goods and services currently consumed; and goods and services contributing to investment. Goods and services currently consumed refer to items that are used up in the production process, for example fertiliser, or seed. Goods and services contributing to investment relate to items that are required but not consumed in the production process, such as tractors or buildings.
The current indices are based on the year 2010 =100. The methodology used is standardised across EU member states and is described in the http://ec.europa.eu/eurostat/ramon/statmanuals/files/Handbook%20for%20EU%20Agricultural%20Price%20Statistics%202008.pdf" class="govuk-link">Handbook for EU Agricultural Price Statistics.
Defra statistics: prices
Email mailto:prices@defra.gov.uk">prices@defra.gov.uk
<p class="govuk-body">You can also contact us via Twitter: <a href="https://twitter.com/DefraStats" class="govuk-link">https://twitter.com/DefraStats</a></p>
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The Map Service (WFS Group) presents the spatial data from the landscape program Saarland the theme map forest and agriculture.:LAPRO2009 – Urban and park forests in the densification area
ODS / Goals and targets (from the 2030 Agenda for Sustainable Development) / Goal 2. End hunger, achieve food security and improved nutrition and promote sustainable agriculture / Target 2.4. By 2030, ensure sustainable food production systems and implement resilient agricultural practices that increase productivity and production, that help maintain ecosystems, that strengthen capacity for adaptation to climate change, extreme weather, drought, flooding and other disasters and that progressively improve land and soil quality. / Indicator 2.4.1. Proportion of agricultural area under productive and sustainable agriculture
Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries
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The map service (WFS group) presents the spatial data from the landscape program Saarland the theme map forest and agriculture.:LAPRO2009 – Closed forest areas in northern Saarland
Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries
Tours of participating farms in the County for our farm tour July 23rd and 24th. Check out more information here: http://www.montgomerycountymd.gov/agservices/agfarmtour.html.
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 0.39(USD Billion) |
MARKET SIZE 2024 | 0.42(USD Billion) |
MARKET SIZE 2032 | 0.7(USD Billion) |
SEGMENTS COVERED | End User Industry ,Application ,Formulation ,Crop Type ,Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | Rising demand for herbicides increasing adoption of precision farming growing population and urbanization technological advancements favorable government policies |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Arysta Lifescience ,Syngenta ,BASF ,FMC Corporation ,Bayer CropScience ,DuPont ,Nufarm ,Monsanto ,Dow AgroSciences ,Shandong Aoshengli Biotechnology ,Sumitomo Chemical ,Adama Agricultural Solutions ,Hebei Quanta Chemicals ,Jiangsu Anyangfeng Biotech ,Jiangsu Zhongnong Haitech |
MARKET FORECAST PERIOD | 2025 - 2032 |
KEY MARKET OPPORTUNITIES | Rising demand for herbicides expanding agriculture sector increasing herbicideresistant weeds governmental support for sustainable farming and advancements in biotechnology |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 6.73% (2025 - 2032) |
Quick Stats API is the programmatic interface to the National Agricultural Statistics Service's (NASS) online database containing results from the 1997, 2002, 2007, and 2012 Censuses of Agriculture as well as the best source of NASS survey published estimates. The census collects data on all commodities produced on U.S. farms and ranches, as well as detailed information on expenses, income, and operator characteristics. The surveys that NASS conducts collect information on virtually every facet of U.S. agricultural production.