Applied AI in Agriculture Companies

Competitive Landscape of Applied AI in Agriculture Market:

The applied AI in agriculture market is experiencing explosive growth, driven by the need for increased food production, resource optimization, and sustainable practices. This dynamic landscape is characterized by a diverse range of players, each employing unique strategies to carve a niche.

Key Players:

• Microsoft


• IBM


• Google


• Amazon


• John Deere


• CropX


• Vision Robotics


• DroneDeploy


• PrecisionHawk


• AGCO Corporation

Factors for Market Share Analysis:

• Technology Portfolio: The breadth and depth of a company's AI technology offerings, including algorithms, data analytics capabilities, and hardware integration, significantly impact market share.


• Target Market Focus: Companies that cater to specific agricultural segments or crop types, such as vineyard management or dairy farming, have an advantage in those niches.


• Data Acquisition and Management: Access to reliable and diverse agricultural data, coupled with efficient data management systems, is crucial for developing accurate AI models.


• User-friendliness and Affordability: The ease of use and affordability of AI solutions are critical factors for adoption by farmers, particularly in resource-constrained settings.


• Partnerships and Collaborations: Strategic partnerships with agricultural organizations, government agencies, and research institutions can expand reach and build trust among farmers.

New and Emerging Companies:

• Drone-based AI Solutions: Companies like Aerobotics and PrecisionHawk are using drones equipped with AI sensors for crop monitoring, pest detection, and yield prediction.


• AI-powered Livestock Management: Companies like VacaTech and Cainthus are developing AI-based systems for monitoring animal health, optimizing feed management, and improving breeding practices.


• Vertical Farming and Controlled-Environment Agriculture: Companies like Plenty and AeroFarms are utilizing AI to optimize environmental conditions, resource utilization, and crop growth in vertical farming and controlled-environment agriculture.

Current Investment Trends:

• Venture Capital: VC funding for AI in agriculture startups has been steadily increasing, with investors recognizing the immense potential of this market. In 2023, over $2 billion was invested in agtech startups globally, with a significant portion dedicated to AI-powered solutions.


• Corporate Venture Capital: Leading agricultural companies are establishing their own VC arms to invest in promising startups developing AI solutions that complement their existing offerings.


• Public-Private Partnerships: Governments are partnering with private companies and research institutions to invest in AI research and development for agriculture, with a focus on addressing specific regional challenges and promoting sustainable practices.

Latest Company Updates:

January 09, 2024, Researchers at MIT develop a new AI model that can predict crop yields with 95% accuracy based on satellite imagery and weather data. 

December 12, 2023, A new AI-powered robot, designed by Naïo Technologies, can autonomously pick strawberries with high accuracy and efficiency. 

November 08, 2023, John Deere unveils its new ExactApply sprayer system, which uses AI to adjust application rates based on real-time data on crop health and soil conditions.