AI in Crop Monitoring Market - Forecasts from 2025 to 2030

The AI in crop monitoring market is set to witness robust growth at a CAGR of 14.80% during the forecast period to be worth US$1.921 billion in 2030 from US$0.963 billion in 2025.

The use of AI in crop monitoring within agriculture is on the rise, driven by advancements in AI and machine learning algorithms. This is enhancing the precision of crop monitoring capabilities. Sensor technology and the Internet of Things (IoT) are gaining traction for understanding and analyzing crop health and farm growth. Additionally, precision farming, which utilizes data and technology to tailor cultivation to specific landforms, has become more effective with AI's application in providing the necessary analysis and insights for data processing.

AI in Crop Monitoring Market Drivers:

• Increasing Global Food Demand: The growing global demand for food is a primary driver for AI-powered crop monitoring solutions, as they help improve crop yields and resource utilization. According to research from the NIH, China's per capita wheat consumption is projected to increase to 76 kg in 2030 and 95 kg in 2050. Meanwhile, for India, estimates range from 60.4 to 74 kg by 2030, compared to 2019 levels.
• Government Intervention and Funding: Government initiatives and funding play a significant role in driving the AI in crop monitoring market by supporting research and development. Subsidies and grants from these government initiatives enable researchers to develop new AI algorithms, sensor technologies, and analysis tools for crop monitoring, while also making it easier for farmers to invest in AI-powered solutions.

AI in Crop Monitoring Market Geographical Outlook:

• Asia-Pacific: The Asia-Pacific region is experiencing growth due to increasing labor costs, land scarcity, and a growing population. China, India, and Japan are leading the adoption of AI solutions in this region.
• North America: North America is seeing increased investment in precision agriculture, particularly in the US and Canada, benefiting from a robust infrastructure and research base.
• Europe: Europe is focused on environmental trends, driving investment in these technologies. Germany, France, and the UK are investing in sustainable and precision farming concepts, supported by government initiatives promoting the adoption of agricultural technology.
• Middle East and Africa: The Middle East and Africa represent new frontiers for AI solutions in agriculture, especially in arid areas such as Saudi Arabia, the UAE, and South Africa, which are key countries for agri-tech in crop monitoring.
• South America: South America is witnessing growth, driven by the adoption of AI solutions in countries like Brazil and Argentina to address climate change and resource depletion.

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Report Coverage:

• Historical data & forecasts from 2022 to 2030
• Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
• Competitive Positioning, Strategies, and Market Share Analysis
• Revenue Growth and Forecast Assessment of segments and regions including countries
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AI in Crop Monitoring Market is analyzed into the following segments:

By Technology

• Machine Learning
• Computer Vision
• Predictive Analytics
• Others

By Offering

• Hardware
• Software
• Services

By Application

• Disease and Pest Management
• Precision Irrigation
• Yield Prediction
• Soil Health Monitoring
• Weed Control

By Geography

• North America
• USA
• Canada
• Mexico
• South America
• Brazil
• Argentina
• Others
• Europe
• United Kingdom
• Germany
• France
• Spain
• Others
• Middle East and Africa
• Saudi Arabia
• UAE
• Others
• Asia Pacific
• China
• Japan
• India
• South Korea
• Taiwan
• Australia
• Others