AI Agronomist Market Trends and Forecast
The future of the global AI agronomist market looks promising with opportunities in the farm, plant factory, and greenhouse cultivation markets. The global AI agronomist market is expected to grow with a CAGR of 23.5% from 2024 to 2030. The major drivers for this market are rising demand for precision agriculture and ongoing development of autonomous farming systems.
• Lucintel forecasts that decision support system is expected to witness the highest growth over the forecast period.
• Within this market, farm is expected to witness the highest growth.
• North America is expected to witness the highest growth over the forecast period.
Country Wise Outlook for the AI Agronomist Market
• United States: In the United States, companies like The Climate Corporation (part of Bayer) and Granular have been at the forefront of AI Agronomist initiatives. The Climate Corporation has introduced AI-driven platforms such as Climate FieldView, which analyze agricultural data to optimize farming practices. The company targets increasing farm productivity and sustAInability through predictive analytics and field-level insights. Granular, another leading firm, focuses on AI applications for farm management, offering tools that enhance decision-making and operational efficiency for growers. The U.S. government supports AI in agriculture through initiatives like the USDAÄX%$%Xs AI for Earth program, which funds research and innovation in agricultural technology.
• India: In India, companies such as CropIn Technology Solutions and RML AgTech are advancing AI Agronomist solutions. CropIn Technology Solutions has developed AI-powered platforms to assist farmers with crop monitoring, pest management, and yield prediction. The company AIms to improve agricultural outcomes and enhance food security through technology-driven interventions. RML AgTech focuses on AI applications for precision agriculture, offering solutions that optimize resource utilization and increase farm profitability. The Indian government supports AI adoption in agriculture through initiatives like the National e-Governance Plan for Agriculture, which promotes digital solutions and smart farming technologies
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
AI Agronomist Market by Segment
The study includes a forecast for the global AI agronomist market by type, application, and region.
AI Agronomist Market by Type [Value from 2018 to 2030]:
• Decision Support System
• Disease Prediction
• Soil Health
• Smart Irrigation
AI Agronomist Market by Application [Value from 2018 to 2030]:
• Farm
• Plant Factory
• Greenhouse Cultivation
• Others
AI Agronomist Market by Region [Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World
List of AI Agronomist Companies
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chAIn. With these strategies AI agronomist companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI agronomist companies profiled in this report include-
• Thalavady
• Farmers Edge
• Agri1.AI
• Bayer
• Dagan Farm
• ICA
• SAP
Recent Development in the AI Agronomist Market
• The Climate Corporation (Bayer) : The Climate Corporation, a subsidiary of Bayer, has developed the Climate FieldView platform, integrating AI and data analytics to optimize farm management. The initiative includes AI-driven tools for field monitoring, yield analysis, and predictive insights. Climate FieldView AIms to assist farmers in making data-driven decisions to improve productivity and sustAInability across their operations. Bayer continues to invest in enhancing the platformÄX%$%Xs capabilities through machine learning algorithms that provide actionable recommendations for crop planning, pest management, and irrigation optimization.
• CropIn Technology Solutions : CropIn Technology Solutions offers the SmartFarm platform, leveraging AI and satellite imagery for precision agriculture. The initiative focuses on real-time data collection and analysis to empower farmers with insights into crop health, weather patterns, and market trends. CropInÄX%$%Xs AI algorithms enable predictive analytics for yield forecasting and disease detection, supporting farmers in maximizing crop yields and minimizing risks. The company targets global expansion and partnerships to scale its AI Agronomist solutions, enhancing agricultural efficiency and sustAInability.
• XAG : XAG specializes in agricultural drones equipped with AI capabilities for smart farming applications. The companyÄX%$%Xs initiative includes AI-powered drones that perform tasks such as crop monitoring, soil analysis, and precise spraying of fertilizers and pesticides. XAGÄX%$%Xs AI Agronomist solutions AIm to optimize resource allocation, reduce environmental impact, and increase farm productivity through autonomous aerial operations. XAG continues to innovate by integrating IoT and big data analytics to enhance the precision and efficiency of agricultural practices.
• Bosch : Bosch offers digital farming solutions that incorporate AI for precision agriculture. The initiative includes sensor-based technologies and data analytics platforms that provide farmers with real-time insights into soil conditions, crop health, and weather forecasts. BoschÄX%$%Xs AI Agronomist solutions enable farmers to optimize irrigation schedules, nutrient application, and pest control strategies based on data-driven recommendations. The company focuses on sustAInability and resilience in agriculture, supporting global efforts to enhance food security and environmental stewardship through innovative technology.
Features of the Global AI Agronomist Market
Market Size Estimates: AI agronomist market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: AI agronomist market size by type, application, and region in terms of value ($B).
Regional Analysis: AI agronomist market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the AI agronomist market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI agronomist market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q1. What is the growth forecast for AI agronomist market?
Answer: The global AI agronomist market is expected to grow with a CAGR of 23.5% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of the AI agronomist market?
Answer: The major drivers for this market are rising demand for precision agriculture and ongoing development of autonomous farming systems.
Q3. What are the major segments for AI agronomist market?
Answer: The future of the AI agronomist market looks promising with opportunities in the farm, plant factory, and greenhouse cultivation markets.
Q4. Who are the key AI agronomist market companies?
Answer: Some of the key AI agronomist companies are as follows:
• Thalavady
• Farmers Edge
• Agri1.AI
• Bayer
• Dagan Farm
• ICA
• SAP
Q5. Which AI agronomist market segment will be the largest in future?
Answer: Lucintel forecasts that decision support system is expected to witness the highest growth over the forecast period.
Q6. In AI agronomist market, which region is expected to be the largest in next 5 years?
Answer: North America is expected to witness the highest growth over the forecast period.
Q7. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.
This report answers following 11 key questions:
Q.1. What are some of the most promising, high-growth opportunities for the AI agronomist market by type (decision support system, disease prediction, soil health, and smart irrigation), application (farm, plant factory, greenhouse cultivation, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
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