As per MRFR analysis, the North America Applied AI in Agriculture Market Size was estimated at 582 (USD Million) in 2023.The North America Applied AI in Agriculture Market is expected to grow from 753(USD Million) in 2024 to 13,047 (USD Million) by 2035. The North America Applied AI in Agriculture Market CAGR (growth rate) is expected to be around 29.602% during the forecast period (2025 - 2035).
Key North America Applied AI in Agriculture Market Trends Highlighted
Technological developments and an increasing emphasis on sustainability are driving notable trends in the North American Applied AI in Agriculture Market. One of the main factors propelling the market is the growing use of precision agriculture as farmers want to increase crop yields and improve resource management.
Farmers may make better decisions by using integrated AI solutions, such as machine learning algorithms and data analytics, to understand more about weather patterns, pest control, and soil health. The need for automated technologies like drones and self-driving tractors is growing dramatically as agricultural practices change, indicating a move toward more productive farming methods.
The North American market offers a wealth of options for investigation, particularly in the area of improving functional automation for labor-intensive operations. Innovation is being fostered by the region's agricultural organizations and institutions' continuous research and development projects.
Another exciting possibility is partnerships between tech firms and agriculture stakeholders, which are aimed at developing intelligent technologies that will further simplify farming operations. Farmers are increasingly using AI-powered software for real-time analysis and forecasting as the trend toward data-driven farming has accelerated in recent years.
This change is facilitated by the incorporation of Internet of Things (IoT) devices into AI platforms, which allow for continuous field monitoring and adaptation.
Furthermore, since government programs encourage smart farming methods, which raise agricultural productivity and economic viability, North America's regulatory environment is starting to encourage the implementation of AI. These patterns mark a turning point in North American agriculture as the need for food keeps growing, opening the door to a more productive and sustainable future.
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
North America Applied AI in Agriculture Market Drivers
Increasing Demand for Sustainable Farming Practices
In North America, the pressure to adopt sustainable agricultural practices is intensifying. The United States Department of Agriculture (USDA) reported that farms implementing sustainable practices can increase yields by up to 30 percent, while simultaneously reducing environmental impacts.
This trend is driving the North America Applied AI in Agriculture Market as farmers seek innovative technologies to optimize resource management and enhance crop resilience. Companies like Deere & Company are developing advanced AI-driven solutions that help farmers monitor soil health and manage water usage more effectively, contributing to improved sustainability metrics in agriculture.
With the need for sustainability top of mind, the integration of AI technologies aligns perfectly with the goals of reducing carbon footprints and increasing agricultural productivity, thereby propelling market growth in this region significantly.
Technological Advancements in Precision Agriculture
The North America Applied AI in Agriculture Market is witnessing robust growth due to rapid advancements in precision agriculture technologies. According to the American Farm Bureau Federation, the adoption of precision agriculture can lead to yield improvements of about 20 percent.
Companies like Monsanto (Bayer) are pioneering the use of AI and machine learning to analyze complex data sets collected from farms, leading to more informed decision-making.
Such technologies help farmers apply water, fertilizers, and pesticides more precisely, minimizing waste and reducing costs, which makes this a key driver for the market. As technology continues to evolve, farmers in North America are more inclined to leverage these advancements, further boosting the market potential.
Rising Labor Costs and Labor Shortages
Labor costs in agriculture are escalating in North America, increasing pressure on farmers to innovate. Recent reports from the National Agricultural Statistics Service highlighted a 10 percent increase in labor costs over the past five years.
This trend has created a strong incentive for farmers to invest in automation and AI solutions that can mitigate their reliance on labor. For instance, companies like PrecisionHawk are developing AI-driven drones and robots designed for various agricultural tasks, which not only reduce labor costs but also enhance operational efficiency.
This transformation is driving the North America Applied AI in Agriculture Market as more producers look to adopt AI technologies that can effectively fill the labor gap and streamline farm operations.
Applied AI in Agriculture Market Technology Insights
In the North America Applied AI in Agriculture Market, the Technology segment plays a pivotal role in transforming agricultural practices through advanced solutions that enhance efficiency and productivity. Among the various technologies, Machine Learning has emerged as a significant component, enabling farmers to analyze vast amounts of data, leading to improved decision-making and resource optimization.
It empowers predictive maintenance and helps in disease detection, thereby significantly driving yield. Computer Vision is another critical technology that allows for real-time monitoring and analysis of crops and livestock, thereby aiding in the automation of processes such as harvesting and quality assessment.
This technology utilizes high-resolution imaging and deep learning algorithms, effectively identifying patterns that may be missed by the human eye, which is essential in maintaining food quality standards. Meanwhile, Predictive Analytics serves as a cornerstone in agricultural planning and management, utilizing historical data and real-time inputs to forecast future trends.
This capability allows farmers to anticipate crop performance and market conditions, thus optimizing planting schedules and resource allocation. Collectively, these technologies represent the forefront of innovation in agriculture, significantly contributing to the sustainability and efficiency of farming practices across North America.
With the ongoing advancements in artificial intelligence, the scope for these technologies is vast, thereby creating opportunities for increased investment and development in the sector. The emphasis on precision agriculture, driven by these technologies, is expected to continue reshaping the industry, presenting numerous economic benefits and enhancing food security across the region.
The ability to leverage data and provide actionable insights is becoming increasingly essential for modern farmers aiming to meet the challenges posed by climate change and population growth, underscoring the importance of the Technology segment within the North America Applied AI in Agriculture Market.
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
Applied AI in Agriculture Market Offering Insights
The Offering segment of the North America Applied AI in Agriculture Market is significant, reflecting the increasing integration of advanced technologies in the agriculture sector. As agriculture evolves, there is a growing demand for Software and AI-as-a-Service solutions that facilitate precision farming, optimize resource use, and improve crop yield.
Software solutions enable farmers to leverage data analytics for better decision-making, enhancing productivity through tailored recommendations. AI-as-a-Service, on the other hand, provides scalable and flexible AI tools that small to mid-sized farms can access without heavy upfront investments, thereby democratizing technology in agriculture.
The growth in these offerings is further fueled by government initiatives aimed at modernizing agricultural practices and promoting sustainable farming methods across North America. The adoption of these technologies is therefore set to revolutionize traditional farming, making the Offering segment crucial for future market growth and innovation in agricultural practices.
As the agriculture sector seeks to tackle challenges such as climate change, labor shortages, and food security, the importance of sophisticated tools and services will only continue to increase.
Applied AI in Agriculture Market Application Insights
The North America Applied AI in Agriculture Market is witnessing significant advancements with a focus on the Application segment, which includes essential areas such as Drone Analytics and Precision Farming.
Drone Analytics has become increasingly vital as it provides farmers with real-time data to assess crop health, monitor livestock, and optimize field management, thus enhancing operational efficiency.
Precision Farming leverages AI technology to analyze data related to soil health, weather patterns, and crop yield, enabling tailored farming strategies that substantially improve productivity and resource utilization.
Both of these areas are gaining traction in North America, driven by growing demand for sustainable agriculture practices and the need for increased food production to meet the demands of a growing population.
Furthermore, the integration of AI in these applications is empowering farmers to make informed decisions, reduce waste, and improve profitability. As innovations continue to emerge, the focus on these key areas within the North America Applied AI in Agriculture Market is expected to expand, offering significant opportunities for growth and transformation in the industry.
Applied AI in Agriculture Market Regional Insights
The North America Applied AI in Agriculture Market showcases significant growth potential driven by advancements in technology and increasing adoption of AI solutions among farmers and agricultural enterprises.
The region splits primarily into the United States and Canada, with the United States holding a dominating share due to its extensive agricultural base and innovation ecosystem. This market segment is characterized by a strong urge for automation, enhancing crop yields, and optimizing resource utilization, offering considerable opportunities for major stakeholders in the industry.
In Canada, the focus is on sustainable farming practices, where Applied AI technologies play a crucial role in precision agriculture. The integration of AI in agriculture is expected to accelerate farm productivity and better decision-making processes for farmers, addressing challenges such as labor shortages and climate change impacts.
Both countries are witnessing an uptick in government initiatives and support for technology adoption in agriculture, which further propels the North America Applied AI in Agriculture Market forward. Market participants are also leveraging big data analytics and IoT to drive insights and efficiencies in farming operations, contributing to the overall growth dynamics within the region.
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
North America Applied AI in Agriculture Market Key Players and Competitive Insights
The North America Applied AI in Agriculture Market has been witnessing significant advancements and competitive dynamics in recent years, driven by increasing adoption of artificial intelligence technologies to enhance agricultural processes.
The market is characterized by various players who are leveraging AI to optimize farming practices, improve crop yields, manage resources effectively, and ultimately drive higher profitability for farmers.
The integration of AI-driven solutions into agriculture has opened up opportunities for innovative applications, ranging from precision farming and pest management to predictive analytics and crop monitoring.
Competitors in this market are striving to differentiate their offerings and gain market share by focusing on research and development, forging partnerships, and addressing the growing demands for sustainable agricultural practices.
Harvest Croo Robotics specializes in creating innovative robotics solutions that incorporate applied AI technologies to modernize agricultural practices in North America. The company focuses on autonomous farming systems that enhance harvesting efficiency and accuracy, particularly in high-value crops such as strawberries.
Harvest Croo Robotics emphasizes the importance of combining agricultural knowledge with cutting-edge technology, ensuring their products are practical and beneficial to farmers. Their key products include robotic harvesters designed to operate autonomously while seamlessly integrating with existing farming operations.
The company's strengths are anchored in its ability to innovate rapidly, and its active engagement in industry partnerships and collaborations, positioning it at the forefront of the agricultural robotics market.
By pursuing strategic initiatives, including mergers and acquisitions, Harvest Croo Robotics is enhancing its technology portfolio and expanding its market reach within North America, ultimately striving to make farming more efficient and sustainable.
Key Companies in the North America Applied AI in Agriculture Market Include
North America Applied AI in Agriculture Market Developments
Harvest CROO Robotics, which combines real-time analytics, machine learning, and robotics to alleviate labor shortages in specialty crops, revealed in April 2025 that its AI- and vision-enabled B8 robotic strawberry harvester achieved human-level performance in commercial-scale field trials in Florida.
In order to increase resilience to North American corn diseases and support its Granular Insights AI platform for farm management decision support, Corteva Agriscience published research in June 2023 that confirmed gene editing innovations using CRISPR to co-locate multiple disease-resistant genes within single corn hybrids.
In order to improve planting, fungicide use, and yield forecasts by several bushels per acre, Corteva introduced AI-driven improvements to Granular Insights in May 2023. These improvements integrated satellite images, connection data streams, and picture recognition.
Through its IBM Watson Decision Platform, IBM extended its agricultural analytics offerings in August 2023, implementing AI-based forecasts for crop stress, irrigation, and livestock health on a large scale on American farms.In early 2024, Trimble and Ag-Leader Technology carried on providing AI-enhanced precision mapping services, opening the door for sensor-based variable-rate applications.
By mid-2023, John Deere had more than 1.5 million machines linked to its Operations Center, collecting telemetry and providing AI-based insights for yield mapping, weeding, and spraying—all part of the company's continued push toward autonomous farming.
Throughout 2023, North American clients embraced Bayer's AI advise modules on crop protection and disease forecasting, even as the company continued to expand its Climate FieldView platform globally. When taken as a whole, these businesses demonstrate tangible, AI-driven implementations in the agricultural industry in North America from January 2023.
North America Applied AI in Agriculture Market Segmentation Insights
| Report Attribute/Metric Source: | Details |
| MARKET SIZE 2023 | 582.0(USD Million) |
| MARKET SIZE 2024 | 753.0(USD Million) |
| MARKET SIZE 2035 | 13047.0(USD Million) |
| COMPOUND ANNUAL GROWTH RATE (CAGR) | 29.602% (2025 - 2035) |
| REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| BASE YEAR | 2024 |
| MARKET FORECAST PERIOD | 2025 - 2035 |
| HISTORICAL DATA | 2019 - 2024 |
| MARKET FORECAST UNITS | USD Million |
| KEY COMPANIES PROFILED | FarmLogs, Harvest Croo Robotics, Monsanto, Granular, Corteva Agriscience, Proagrica, IBM, Google, Energy & Environment, Taranis, Ag Leader Technology, Trimble, Microsoft, John Deere, Bayer |
| SEGMENTS COVERED | Technology, Offering, Application, Regional |
| KEY MARKET OPPORTUNITIES | Precision farming technologies adoption, Autonomous farm equipment development, Crop health monitoring solutions, AI-driven supply chain optimization, Data analytics for yield prediction |
| KEY MARKET DYNAMICS | Increasing demand for sustainable farming, Enhanced crop yield and efficiency, Rising investment in agri-tech solutions, Growing adoption of precision agriculture, Integration of IoT with AI technology |
| COUNTRIES COVERED | US, Canada |
Frequently Asked Questions (FAQ):
The North America Applied AI in Agriculture Market is expected to be valued at 753.0 million USD in 2024.
By 2035, the market is projected to grow significantly to 13,047.0 million USD.
The expected CAGR for the North America Applied AI in Agriculture Market is 29.602% during the period from 2025 to 2035.
The US is anticipated to be the dominant market, valued at 400.0 million USD in 2024 and projected to reach 7,000.0 million USD by 2035.
In 2024, the Canadian market is expected to be valued at 353.0 million USD.
The market for Machine Learning technology is expected to reach 5,450.0 million USD by 2035.
Computer Vision technology is projected to be valued at 250.0 million USD in 2024, with expectations to rise to 4,000.0 million USD by 2035.
The Predictive Analytics sector is expected to be valued at 203.0 million USD in 2024.
Major players include FarmLogs, Harvest Croo Robotics, Monsanto, Corteva Agriscience, and John Deere among others.
Key growth drivers include advancements in technology, increased efficiency, and the demand for sustainable agricultural practices.
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Team Lead - Research she holds an experience of about 6+ years in market research and business consulting, working under the spectrum of information communication technology, telecommunications and semiconductor domains. aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.
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