Artificial Intelligence (AI) in Agriculture Market Report 2025

The artificial intelligence (AI) in agriculture market size has grown exponentially in recent years. It will grow from $2.23 billion in 2024 to $2.71 billion in 2025 at a compound annual growth rate (CAGR) of 21.6%. The growth in the historic period can be attributed to precision agriculture adoption, data availability, farm mechanization, climate change impact, labor shortages.

The artificial intelligence (AI) in agriculture market size is expected to see exponential growth in the next few years. It will grow to $6.58 billion in 2029 at a compound annual growth rate (CAGR) of 24.8%. The growth in the forecast period can be attributed to iot integration, enhanced ai algorithms, increased adoption of drones, global food demand, digital agriculture platforms, ai-driven crop breeding, ai in pest control. Major trends in the forecast period include advancements in satellite imaging, smart irrigation systems, blockchain for supply chain, farm robot integration, multi-sensor fusion, collaborations between technology companies and agricultural organizations.

The imperative for increased food production to ensure food security is anticipated to drive the expansion of the artificial intelligence (AI) in agriculture market. Food security, encompassing the availability, accessibility, and utilization of food that meets dietary needs, is crucial for maintaining an active and healthy life. Artificial intelligence plays a pivotal role in optimizing agricultural processes, enhancing crop yields, and analyzing extensive datasets, including weather patterns, soil conditions, and crop health. By providing real-time insights and precise recommendations, AI aids farmers in making informed decisions regarding irrigation, fertilization, pest management, and harvesting. This results in heightened productivity, reduced waste, maximized food output, and enhanced global food security. For example, as of July 2023, the Food and Agriculture Organization reported a 0.2% monthly increase in global cereal production, reaching 2.81 billion tons, with wheat utilization projected to rise to 780 million tons in 2022-2023. Hence, the imperative for increased food production to ensure food security is poised to propel the artificial intelligence (AI) in agriculture market.

The ascent of agriculture technology, known as AgTech, is expected to be a driving force behind the growth of the artificial intelligence (AI) in agriculture market. AgTech involves applying technological innovations, creativity, and data-driven solutions to enhance various aspects of agricultural production and management. The incorporation of artificial intelligence into agriculture technology has the potential to revolutionize farming processes, making them more efficient, sustainable, and resilient to various challenges. Notably, as of August 2023, the United States Department of Agriculture reported a 3% year-on-year increase, with 32% of farms using the internet to acquire agricultural inputs. Among these, 51% utilized a broadband connection, while 75% relied on a cellular data plan. Consequently, the rise of agriculture technology is fostering the growth of the artificial intelligence (AI) in agriculture market.

Product innovations are a significant trend gaining traction in the artificial intelligence (AI) agriculture market. Major companies in this sector are concentrating on developing innovative platforms aimed at enhancing yield predictions, improving decision-making, and promoting sustainable farming practices. A "groundbreaking platform" refers to an innovative system or technology that transforms practices within the industry, establishing new benchmarks and encouraging further advancements. It typically addresses unmet needs and presents novel solutions. For instance, in September 2024, Helios AI, a US-based software company, introduced CommodiTrack, an advanced platform that integrates extensive climate risk data and predictive analytics to bolster the resilience of the agrifood supply chain. This platform provides users with actionable insights, allowing them to quickly adapt to market volatility and disruptions.

Prominent companies operating in the artificial intelligence (AI) in agriculture market are channeling their efforts into pioneering technologies, including GPS guidance systems. A GPS guidance system utilizes signals from the Global Positioning System to provide precise navigation for vehicles or machinery operating in the field. In January 2022, Deere & Company, a US-based manufacturing company, introduced a fully autonomous tractor incorporating the 8R tractor, a TruSet-enabled chisel plow, GPS navigation, and innovative technology. Equipped with six pairs of stereo cameras for obstacle identification, the autonomous tractor employs a deep neural network for rapid image processing and decision-making, ensuring accurate and efficient field operations.

In October 2023, Rockwell Automation, a US-based automation company, acquired Clearpath Robotics for an undisclosed amount. Rockwell Automation seeks to enhance its industrial automation portfolio by incorporating advanced autonomous mobile robots to streamline production logistics. This strategic move positions Rockwell to take advantage of the rising demand for efficient, connected manufacturing solutions. Clearpath Robotics, a Canadian robotics firm, integrates autonomous vehicles with AI to optimize agricultural tasks such as planting and harvesting, thereby improving efficiency and precision. This integration facilitates data-driven decision-making, resulting in increased yields and more sustainable farming practices.

Major companies operating in the artificial intelligence (AI) in agriculture market include Google LLC, Microsoft Corporation, IBM Corporation, Bayer AG, John Deere, Oracle Corporation, CNH Industrial N.V., Wipro Limited., Valmont Industries Inc., Raven Industries Inc., Climate LLC, Granular Inc., Ag Leader Technology Inc., FarmWise Labs Inc., Taranis, Ceres Imaging, AgEagle Aerial Systems Inc., PrecisionHawk, Descartes Labs Inc., Farmobile LLC, AppHarvest, Farmers Edge Inc., Iron Ox, Prospera Technologies, aWhere Inc., Agribotix, Abundant Robotics, Agworld, Harvest Croo Robotics, Gamaya SA, Tule Technologies.

North America was the largest region in the artificial intelligence (AI) in agriculture market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (ai) in agriculture market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (ai) in agriculture market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Spain, Canada.

Artificial intelligence (AI) in agriculture involves the use of modern technology and machine learning algorithms to optimize agricultural operations and enhance farm output. AI applications in agriculture encompass crop monitoring and yield prediction, precision farming techniques, automated machinery and robots, disease and insect detection, and efficient resource management.

The main components of artificial intelligence (AI) in agriculture consist of hardware, software, and services. Hardware refers to the physical components and equipment employed in AI applications in agriculture, including sensors, robotics, and harvesting equipment. These devices are utilized for data collection, crop health monitoring, and automated harvesting operations. The technologies involved encompass machine learning, predictive analysis, and computer vision. These AI systems can be deployed in the cloud, on-premises, or through a hybrid infrastructure. The applications of AI in agriculture span precision farming, agriculture robots, livestock monitoring, drone analytics, labor management, and more.

The artificial intelligence (AI) in agriculture market research report is one of a series of new reports that provides artificial intelligence (AI) in agriculture market statistics, including artificial intelligence (AI) in agriculture industry global market size, regional shares, competitors with artificial intelligence (AI) in agriculture market share, detailed artificial intelligence (AI) in agriculture market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in agriculture industry. This artificial intelligence (AI) in agriculture market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The artificial intelligence (AI) in the agriculture market consists of revenues earned by entities by providing services such as precision agriculture, crop management, farm equipment automation, supply chain optimization, crop monitoring, and surveillance. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in the agriculture market also includes sales of sensors, drones, robots, and satellites, which are used in providing artificial intelligence (AI) in agriculture services. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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