Artificial Intelligence (AI) in Crop Monitoring Market with Segment Analysis and Strategic Industry Insights

The Business Research Company’s 2026 Global Market Report on Artificial Intelligence (AI) in Crop Monitoring: Market Size, Trends, and Forecast for 2026–2035

LONDON, GREATER LONDON, UNITED KINGDOM, October 16, 2026 /EINPresswire.com/ -- Artificial intelligence (AI) is changing agriculture by helping farmers monitor crops more effectively, increase productivity, and work more efficiently. As technology improves and farming methods change, this part of the market is expected to grow strongly. Key reasons include the wider use of precision agriculture and the growing need to produce food sustainably. The following report describes the market's current position, expected growth, and major companies.

Market Size and Outlook for Artificial Intelligence (AI) in Crop Monitoring
The AI in crop monitoring market is expected to be worth more than $7 billion by 2030. This would make up a large part of the wider smart crop monitoring market, which is expected to reach about $9 billion that year. AI-based crop monitoring is expected to account for around 77% of this wider market. The overall agriculture industry is forecast to be worth $17,550 billion by 2030, meaning AI in crop monitoring would represent close to 0.04% of its total value.

Asia-Pacific Expected to Lead the Artificial Intelligence (AI) in Crop Monitoring Market by 2030
Asia-Pacific is expected to become the largest regional market for AI in crop monitoring by 2030, with an estimated value of $2.6 billion. The market is forecast to grow from $0.9 billion in 2025, at an average annual growth rate of 24%. Growth is being supported by efforts to bring digital technology into farming, the use of precision farming methods to increase crop yields and use resources more efficiently, and the growing use of AI-powered drones and satellite monitoring systems. The rise of agricultural technology startups offering data-based solutions and strong government support for smart farming and food security programs are also helping the market grow.

The United States Expected to Be the Leading Country in the AI Crop Monitoring Market by 2030
By 2030, the United States is expected to have the largest national market for AI in crop monitoring, valued at $1.6 billion. This is an increase from $0.6 billion in 2025, representing an average annual growth rate of 21%. Growth is supported by the widespread use of AI-based farm management systems on large commercial farms, the use of hyperspectral imaging and computer vision to identify crop stress, and the growing use of self-driving farm machines with built-in data analysis tools. Other factors include the growth of businesses that use agricultural data, major private investments in agricultural AI innovation centers, and the use of edge computing to help farmers make decisions in real time.

Software Is the Largest Segment in the Artificial Intelligence (AI) in Crop Monitoring Market
Of the three main offerings—hardware, software, and services—software is expected to be the largest segment by 2030. It is forecast to account for 43% of the market, or $3 billion. Growth is being driven by cloud-based agricultural platforms that help manage farm data, greater demand for tools that predict crop yields and support crop planning, and wider use of machine learning to detect pests and diseases. Large agricultural businesses are increasingly using subscription-based agricultural software. Farm management systems are also working more easily with internet-connected sensors. Improvements in mapping and location-based data analysis, along with AI tools that help farmers make decisions about precision farming, are also supporting growth.

Deployment and Technology Segments in the Artificial Intelligence (AI) in Crop Monitoring Market
The AI crop monitoring market includes cloud-based systems and systems installed and run on a user's own computers and equipment, known as on-premises solutions. The technologies used include artificial intelligence, machine learning, the internet of things (IoT), big data analysis, geographic data analysis, remote sensing, and other new technologies. Together, these tools help collect and analyze information and provide useful insights for farming.

Applications of AI in Crop Monitoring
The market covers several uses: managing crop diseases and pests, precision irrigation, predicting crop yields, monitoring soil health, and controlling weeds. These applications show how AI can support important farming tasks, improve efficiency and crop health, and help farmers manage resources.

End Users Driving Demand for Artificial Intelligence (AI) in Crop Monitoring
Major users include agricultural cooperatives, research institutions, government agencies, agricultural technology companies, and others. These groups use AI-based tools to make decisions based on data and improve farming operations. This can increase productivity and support more sustainable agriculture.

Strong Growth Expected, With a 22% Annual Rate Through 2030
The AI in crop monitoring market is forecast to grow by 22% per year through 2030. Several factors are driving this growth, including the increasing use of precision farming, efforts to improve agricultural productivity, and the need to address global food security challenges.

Growing Use of Precision Agriculture Is a Key Market Driver
The growing use of precision agriculture is a major reason for the market's expansion. As the population grows and less land is available for farming, farmers face pressure to produce more crops while saving resources. AI-based crop monitoring can analyze soil health, weather patterns, and pest activity in real time. This helps farmers improve irrigation and fertilizer use and detect diseases early. Using data in these ways can make farming more efficient and reduce operating costs. This factor is estimated to add about 2.0% to annual market growth.

Growing Need for Higher Agricultural Productivity and Food Security
The need to produce more food and protect food supplies is another major reason for market growth. As population growth increases food demand, farmers are adopting advanced AI tools to detect crop stress, pests, nutrient shortages, and irrigation needs earlier. These systems help farmers act at the right time and support sustainable farming by reducing wasted resources while improving the quality of what they produce. This factor is expected to add about 1.0% to annual market growth.

Combining Technologies Is Helping the Crop Monitoring Market Grow
The combined use of drones, IoT sensors, and satellite images is helping the AI crop monitoring market expand. These technologies provide detailed, real-time information about soil conditions, crop health, moisture levels, and environmental factors across large areas of farmland. AI systems analyze this information to suggest actions that can improve yields and lower costs. Drones and satellites are especially useful for monitoring large commercial farms. This combination of technologies is expected to contribute around 0.8% to annual market growth.

Growth Opportunities in Hardware, Software, and Services
The hardware, software, and services segments offer major growth opportunities. Together, they are expected to exceed $5 billion in market value by 2030. Growth is being driven by self-operating field robots and connected sensors, wider use of software that predicts farming needs, cloud-based farm advice services, satellite data analysis for managing large farms, and greater use of outside providers to install agricultural technology and analyze data. These trends show the industry's focus on improving farm efficiency, using resources wisely, and making decisions based on data. They are also supporting major changes in smart agriculture.

Expected Growth in Hardware, Software, and Services by 2030
Between 2025 and 2030, the hardware market is expected to grow by $2 billion. The software market is also expected to grow by $2 billion, while the services market is forecast to increase by $1 billion. This growth is supported by agricultural technology companies and precision farming developers around the world. They are working on AI-based crop analysis, remote sensing, automated monitoring, and advanced data tools. Precision agriculture, real-time crop health monitoring, and IoT-based solutions remain important ways for companies to stay competitive in this fast-changing market.

Leading Company in the Artificial Intelligence (AI) in Crop Monitoring Market
According to the research, Bayer AG (Climate LLC) was the world's leading company in this market in 2025, with a 4% market share. Its digital farming business offers AI-based crop analysis, precision agriculture tools, field monitoring systems, and data-based solutions. These tools help farmers manage crop health, improve yields, and use more sustainable farming methods.

Major Companies Competing in the Artificial Intelligence (AI) in Crop Monitoring Market
Major companies in this market include Bayer AG (Climate LLC), IBM Corporation, John Deere Company, Trimble Inc., Planet Labs PBC, CNH Industrial N.V., CropIn Technology Solutions Pvt. Ltd., Farmers Edge Inc., Taranis Visual Ltd., Descartes Labs, PrecisionHawk, Aerobotics (Pty) Ltd., Agremo, Sencrop SAS, FlyPix AI GmbH, CropX Technologies Ltd., Farmonaut Technologies Pvt. Ltd., AGRIVI Ltd., EOS Data Analytics Inc., Gamaya, Prospera Technologies, SatSure, OneSoil, Naïo Technologies, ELAI AgriTech Pvt. Ltd., Small Robot Company, and Sentera Inc. These companies are working to gain market share by improving AI, remote sensing, data analysis, and automation.

Market Concentration and Competition in Artificial Intelligence (AI) Crop Monitoring
The market is still spread across many companies. The top 10 companies accounted for 19% of total revenue in 2025. This suggests that the market has some barriers to entry because companies need advanced AI systems, ways to combine remote sensing with IoT, and strong data processing capabilities. Leading companies such as Bayer AG (Climate LLC), IBM Corporation, John Deere Company, and Trimble Inc. maintain strong positions through a wide range of technologies, established partnerships, and ongoing innovation. As demand grows for advanced crop analysis and precision farming tools, companies will need to work together, develop new products, and expand into more regions to stay competitive.

Leading Companies and Their Market Shares
The leading companies and their approximate market shares in 2025 were Bayer AG (Climate LLC), with 4%; IBM Corporation and John Deere Company, with 3% each; Trimble Inc., with 2%; Planet Labs PBC and CNH Industrial N.V., with 2% each; CropIn Technology Solutions Pvt. Ltd. and Farmers Edge Inc., with 1% each; Taranis Visual Ltd., with 1%; and Descartes Labs, with 0.3%. These companies benefit from innovation and broad networks in the agricultural industry.

Key Suppliers of Materials and Components for the AI Crop Monitoring Market
Important suppliers of components and materials used in AI crop monitoring include NVIDIA Corporation, Intel Corporation, Qualcomm Incorporated, Texas Instruments Incorporated, Advanced Micro Devices Inc., STMicroelectronics N.V., NXP Semiconductors N.V., Infineon Technologies AG, Renesas Electronics Corporation, Broadcom Inc., Analog Devices Inc., Microchip Technology Incorporated, Sony Semiconductor Solutions Corporation, Samsung Electronics Co. Ltd., Bosch Sensortec GmbH, Murata Manufacturing Co. Ltd., TE Connectivity Ltd., Honeywell International Inc., Trimble Inc., Garmin Ltd., DJI Technology Co. Ltd., Hexagon AB, Leica Geosystems AG, Topcon Corporation, and Kion Group AG.

Major Wholesalers and Distributors in the AI Crop Monitoring Industry
Major wholesalers and distributors serving this market include Arrow Electronics Inc., Avnet Inc., Digi-Key Electronics, Mouser Electronics Inc., Future Electronics Inc., RS Group plc, Newark Electronics, TTI Inc., Allied Electronics & Automation, Macnica Inc., Ingram Micro Inc., TD SYNNEX Corporation, ScanSource Inc., Bechtle AG, ALSO Holding AG, Esprinet S.p.A., Redington Limited, Westcon Group, Exclusive Networks SA, Mindware FZ LLC, EET Group A/S, ASBIS Enterprises PLC, CDW Corporation, Insight Enterprises Inc., and Logicom Public Limited.

Major End Users of AI Crop Monitoring Solutions
Major organizations using or benefiting from these solutions include Microsoft Corporation, Amazon Web Services Inc., Alphabet Inc., IBM Corporation, Oracle Corporation, SAP SE, John Deere Company, AGCO Corporation, CNH Industrial N.V., Kubota Corporation, Yara International ASA, Bayer AG, Corteva Inc., Syngenta Group, BASF Agricultural Solutions, Nutrien Ltd., Cargill Incorporated, Archer Daniels Midland Company, Bunge Global SA, Wilmar International Limited, Olam Group Limited, Louis Dreyfus Company B.V., Driscoll’s Inc., Fresh Del Monte Produce Inc., and Dole plc. These organizations use AI-based crop monitoring to improve how efficiently they operate and to support sustainability.

New Competitive Trends Changing the AI Crop Monitoring Market
Generative AI tools for agricultural advice and analysis are changing how farming decisions are made. They provide real-time insights, help improve crop productivity, and support better field management. For example, in September 2024, Syngenta Group introduced Cropwise AI, a generative AI platform designed to help growers and agricultural advisers. It offers predictions and data analysis, combines information in real time, and allows users to model different scenarios. The platform provides recommendations tailored to users, makes operations simpler, and supports better precision farming results.

Strategies Companies Use to Stay Market Leaders
Companies are working to stay competitive by improving AI-based crop monitoring platforms and their ability to assess crop health. They are also using computer vision and drone data analysis to monitor fields more effectively, expanding precision agriculture platforms to improve farm productivity, and combining satellite images with AI to predict yields and detect diseases.

These different approaches aim to use advanced technology and new solutions to drive growth in the AI in crop monitoring market through 2030 and beyond.

The company's 2026 reports provide more detailed market information, including scores that assess market attractiveness, analysis of the total addressable market (TAM), company scoring charts and tables, forecasting dashboards in Excel, infographics showing important market areas, analysis of key technologies and future trends, and updated charts and tables.

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