Artificial Intelligence In Agriculture Market Research Report By Type of Application (Crop Monitoring, Livestock Monitoring, Precision Farming, Predictive Analytics, Supply Chain Optimization), By Technology (Computer Vision, Machine Learning, Deep Learning, Big Data Analytics, Robotics), By Application (Crop Production, Livestock Production, Forestry, Aquaculture, Other) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032

Artificial Intelligence In Agriculture Market Overview

Artificial Intelligence In Agriculture Market Size was estimated at 2.82 (USD Billion) in 2022. The Artificial Intelligence In Agriculture Market Industry is expected to grow from 3.38 (USD Billion) in 2023 to 17.247 (USD Billion) by 2032. The Artificial Intelligence In Agriculture Market CAGR (growth rate) is expected to be around 19.86% during the forecast period (2024 - 2032).

Key Artificial Intelligence In Agriculture Market Trends Highlighted

The global artificial intelligence (AI) in the agricultural market has witnessed a surge in adoption, driven by the rising need to increase productivity, reduce costs, and meet the demands of a growing population. The integration of AI into agricultural practices has led to several advancements, including precision farming, yield forecasting, and disease detection.Key market drivers include increasing government support for AI adoption in agriculture, growing awareness of AI's benefits among farmers, and the availability of affordable and user-friendly AI solutions. Opportunities in the market lie in the exploration of AI for livestock management, supply chain optimization, and environmental monitoring.

Recent trends in the AI in Agriculture market reveal a shift towards cloud-based and AI-as-a-service (AIaaS) models, which provide farmers with greater accessibility and flexibility. The rise of data analytics has also played a crucial role, enabling real-time insights into crop and livestock health, weather patterns, and market trends. Additionally, the adoption of AI in agriculture has led to increased collaboration between technology companies, research institutions, and government agencies to foster innovation and knowledge sharing.

The Artificial Intelligence In Agriculture Market Industry is expected to grow from 3.38(USD Billion) in 2023 to 17.247 (USD Billion) by 2032. The Artificial Intelligence In Agriculture Market CAGR (growth rate) is expected to be around 19.86% during the forecast period (2024 - 2032).

Figure1: Artificial Intelligence In Agriculture Market, 2018 - 2032 (USD Billion)

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

Artificial Intelligence In Agriculture Market Drivers

Rising Demand for Precision Farming Techniques

The demand for effective and sustainable agriculture leads to the rapid development of precision farming practices. For this reason, artificial intelligence is activated in the given domain, helps farmers make data-driven decisions, and automates a range of processes. As a result, new AI-based technologies are created that assist in calculating the optimal crop yield, limited input costs, and the output's influence on the environment.

For example, different sensors and satellite pictures allow using AI algorithms to analyze the available information and make as detailed field maps as possible. The results help in deciding which areas should receive more water, how the needed fertilizers should be provided, and how to control pests effectively. As a result of the process, the given aspects are combined so that an increasing number of farmers adopt such a solution. In general, it is evident that as a result of the growing need for precision farming, the global artificial intelligence in the agriculture market will expand.

Government Initiatives and Support

Governmental Actions in the Agricultural Sphere Currently, artificial intelligence is becoming powerful and helping the agricultural sector. Around the world, governments have realized the importance of artificial intelligence and have introduced programs to promote its implementation. Different programs and government support, including research funding, subsidies for AI representatives, and support for farmers' training. For instance, the European Union has adopted the Digital Agriculture Strategy program, which promotes the implementation of digital technologies, including AI, into European agriculture.

This situation creates a favorable environment for the further development of the studied field. Reference List Digital SINGLE MARKET, Smart farming application areas, Communication from the commission to the European parliament, The council, The European economic and social committee and the committee of the regions, Brussels, EUROPEAN COMMISSION, Strasbourg, 303 final, 2019. Response List Numerous government programs have been introduced that promote artificial intelligence implementation in the agriculture sector.

The programs include research funding, subsidies for AI representatives, and support for farmers' training. An example of such a program is the European Union's Digital agriculture strategy.

Advancements in AI Algorithms and Cloud Computing

There are dramatic changes in artificial intelligence and cloud computing, first of all. Owing to this case, more precise AI applications in agriculture gain support from the growing number of companies and farmers. Clouds support better scalability and necessary infrastructure for big data processing in agriculture. Besides, animal husbandry can also benefit from more exact predictions and analysis of the main points like livestock mortality or diseases. Thus, artificial intelligence advancements lead to increased growth in markets and the number of AI power solutions.

Artificial Intelligence In Agriculture Market Segment Insights

Artificial Intelligence In Agriculture Market Type of Application Insights

The Type of Application segment in the Artificial Intelligence In Agriculture Market is classified into Crop Monitoring, Livestock Monitoring, Precision Farming, Predictive Analytics, and Supply Chain Optimization. Of these segments, Precision Farming was the largest in 2023. The high rate of adoption of precision farming techniques that can help to increase crop yields and reduce costs can be attributed to this. The segment is also expected to be the largest in terms of CAGR for the rest of the forecast period. The 20.2% rate can also be attributed to these factors. Crop monitoring is another large segment that is projected to grow at a rate of 19.8% CAGR for the rest of the forecast period. The ability of existing AI solutions to monitor the health of crops in real-time and identify problems at their earliest stages can also be a factor. Livestock Monitoring is not an insignificant segment either. Repercussions of failing to provide animals with proper veterinary care can be severe in some cases. To take a particularly popular African trypanosomiasis as an example, two tsetse flies can wipe out a herd of 1 million cows.

Therefore, the advancement in AI solutions for Livestock Monitoring, whose adoption is currently forcing the segment to grow at the rate of 19.5% CAGR for the rest of the forecast period, is an important part of the market as well. On the other hand, a similar segment that is also growing at a relevantly high rate is Predictive Analytics. The latter is projected to grow at the rate of 21.2% CAGR for the rest of the forecast period, and with 0.7%, it has the highest segment share. The demand for AI solutions that can provide data-driven insights necessary for optimal decision-making on the part of farmers is high and growing.

The similarly relatively high rate of growth of Supply Chain Optimization, which is comprised of solutions tasked with appropriately storing, transporting, and delivering produce along the supply chain, such as the currently existing SaaS platforms of AgriChain and Origo, which are slated to grow at a rate of 19.1% CAGR for the rest of the forecast period. Overall, the Artificial Intelligence In Agriculture Market is expected to grow at record rates for the rest of the forecast period. Meanwhile, the Type of Application is not going to drastically change in terms of ratio, and such a CAGR overall growth rate can be attributed to the adoption of AI solutions across all of its applications that have the potential to drive innovation and efficiency improvements in the sector.

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

Artificial Intelligence In Agriculture Market Technology Insights

The revenue from the global artificial intelligence in the agriculture market was estimated at USD 516.6 million in 2023, and it is expected to reach USD 3,575.8 million by 2032, growing at a CAGR of 24.5% during the forecast period. In 2023, the market was dominated by the computer vision technology segment, which also is expected to have the highest market share throughout the forecast period. The machine learning technology segment will also experience substantial growth because of the increasing applicability in precision agriculture. The highest CAGR, 51.8%, in this period is expected from the deep learning technology segment, which will become more popular due to the ability to analyze complex data and provide accurate projections.

Moreover, the technology that will facilitate the most significant growth in the market is the big data analytics technology segment. The Robotics technology segment will also grow because autonomous agricultural vehicles and robots have become more popular among agricultural businesses.

Artificial Intelligence In Agriculture Market Application Insights

The applications of AI in agriculture are diverse, and the market size for each segment varies depending on factors such as adoption rate, technology maturity, and industry size. Crop Production is the largest segment, accounting for 35% of the Artificial Intelligence In Agriculture Market revenue in 2023. The use of AI in crop production helps farmers optimize crop yield, reduce costs, and make informed decisions. For instance, AI-powered solutions can analyze data from sensors and satellite imagery to provide insights into crop health, soil conditions, and weather patterns.

Livestock Production is the second largest segment, with a market share of 25%. AI applications in livestock production include animal health monitoring, breeding management, and feed optimization. AI-powered systems can monitor livestock health and detect diseases early, enabling timely interventions and reducing mortality rates. Forestry accounts for 15% of the Global Artificial Intelligence In the Agriculture Market. AI is used in forestry to improve forest management practices, such as tree species identification, timber volume estimation, and forest health monitoring.

AI algorithms can analyze data from drones and satellite imagery to provide insights into forest inventory, growth patterns, and potential threats. Aquaculture is a growing segment, with a market share of 12%. AI is used in aquaculture to optimize fish farming practices, such as fish health monitoring, feeding management, and environmental control. AI-powered systems can monitor water quality, detect diseases, and optimize feeding schedules, leading to improved fish growth and reduced mortality rates. Other applications of AI in agriculture include precision farming, smart irrigation, and agricultural robotics.These applications are gaining traction as farmers seek to improve efficiency, reduce costs, and increase productivity.

Artificial Intelligence In Agriculture Market Regional Insights

The Artificial Intelligence In Agriculture Market is segmented into North America, Europe, APAC, South America, and MEA. Among these regions, North America is expected to hold the largest market share in the coming years due to the increasing adoption of AI technologies in the agricultural sector. The region is home to some of the leading AI companies, which are investing heavily in research and development of AI-based solutions for agriculture. Europe is another key market for AI in agriculture, with a number of countries, such as Germany, France, and the United Kingdom, investing in AI research and development.

The APAC region is also expected to witness significant growth in AI in the agriculture market, driven by the increasing demand for food production and the need for sustainable farming practices. South America and MEA are expected to experience moderate growth in AI in the agriculture market due to the lack of infrastructure and skilled workforce in these regions.

Figure3: Artificial Intelligence In Agriculture Market, By Regional, 2023 & 2032 (USD billion)

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

Artificial Intelligence In Agriculture Market Key Players And Competitive Insights

With the rising inclination toward precision farming, there has been an increase in innovation in this area. Leading firms in the AI industry in agriculture have shown a strong interest in the development of new technologies that would help enhance the performance of their solutions. The diversification in AI in the agriculture market resulted in an increase in interaction between key players aimed at leveraging their unique capabilities to create a strong market presence. AI in agriculture market players scale the development of partnership agreements to speed up the development of the overall market and provide farmers with comprehensive solutions. This growth of competing companies worked as the stimulus for the appearance of new organizations that wanted to play a role in this area.

Blue River Technology is one of the main competitors in the global AI market and the agriculture market. The reason for this is that these organizations are primarily known for designing AI-driven robotic systems for precision farming. Blue River Technology founded solutions that make it possible for farmers to execute repetitive tasks automatically, such as weeding plants and adjusting the sizes of the grown crops. Another competitor, PrecisionHawk, is known for providing farmers with AI-powered drone-based solutions for monitoring crops. The integration of drone technology helps to receive data of the highest quality that would help address the health problems with crops.

Key Companies in the Artificial Intelligence In Agriculture Market Include

• Blue River Technology


• Croponix


• Abundant Robotics


• Saga Robotics


• SlantRange


• Gaia Technologies


• CloudAgronomics


• Airinov


• PrecisionHawk


• Farmers Edge


• Agrobot


• Harvest Croo Robotics


• Semios


• The Climate Corporation


• Greenseedo

Artificial Intelligence In Agriculture Market Industry Developments

The global Artificial Intelligence (AI) in Agriculture Market size was valued at USD 3.38 billion in 2023 and is projected to grow at a CAGR of 19.86% from 2024 to 2032. The market is driven by the increasing adoption of AI technologies in agriculture to enhance productivity, efficiency, and sustainability. Key recent developments include: In 2023, AI-powered drones will be used for crop monitoring, spraying, and harvesting, reducing labor costs and improving crop yields. Precision agriculture techniques leveraging AI are gaining traction, enabling farmers to optimize resource utilization and minimize environmental impact. AI-based livestock management systems are improving animal health, welfare, and productivity through real-time monitoring and data analysis.

Advancements in AI algorithms, cloud computing, and IoT are further propelling market growth. Governments and organizations are investing in research and development to support AI adoption in agriculture, setting the stage for continued expansion.

Artificial Intelligence In Agriculture Market Segmentation Insights

Artificial Intelligence In Agriculture Market Type of Application Outlook

• Crop Monitoring


• Livestock Monitoring


• Precision Farming


• Predictive Analytics


• Supply Chain Optimization

Artificial Intelligence In Agriculture Market Technology Outlook

• Computer Vision


• Machine Learning


• Deep Learning


• Big Data Analytics


• Robotics

Artificial Intelligence In Agriculture Market Application Outlook

• Crop Production


• Livestock Production


• Forestry


• Aquaculture


• Other

Artificial Intelligence In Agriculture Market Regional Outlook

• North America


• Europe


• South America


• Asia Pacific


• Middle East and Africa