Artificial intelligence (AI) in agriculture refers to using modern technology and machine learning algorithms to optimize agricultural operations and increase farm output. AI is used in agriculture for crop monitoring and yield prediction, precision farming techniques, automated machinery and robots, disease, and insect detection, and efficient resource management.
Sizing and Forecast
The artificial intelligence (ai) in agriculture market size has grown exponentially in recent years. It will grow from $1.85 billion in 2023 to $2.27 billion in 2024 at a compound annual growth rate (CAGR) of 22.9%. 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 $5.2 billion in 2028 at a compound annual growth rate (CAGR) of 23.0%. 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.
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Segmentation & Regional Insights
The artificial intelligence (ai) in agriculture market covered in this report is segmented –
1) By Component: Hardware, Software, Services
2) By Technology: Machine Learning, Predictive Analysis, Computer Vision
3) By Deployment: Cloud, On-Premise, Hybrid
4) By Application: Precision Framing, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management, Other Applications
North America was the largest region in the artificial intelligence (AI) in agriculture market in 2023. 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
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Major Driver Impacting Market Growth
The need for increased food production for food security is expected to propel the growth of artificial intelligence (AI) in the agriculture market going forward. Food security is the availability, accessibility, and usage of food that fulfills people’s dietary needs and preferences for an active and healthy life and ensures that everyone has access to enough safe, nutritious food. Artificial intelligence can optimize agricultural operations, increase crop yields, and evaluate massive volumes of data such as weather patterns, soil conditions, and crop health to offer farmers real-time insights and exact suggestions. It enables improved irrigation, fertilization, pest management, and harvesting decisions, increasing productivity, less waste, maximum food output, and global food security. For instance, in July 2023, according to the report published by the Food and Agriculture Organization, a Canada-based organization that leads international efforts to defeat hunger and improve nutrition and food security, global production of cereal in 2023 increased by 5.9 million tons (0.2 %) in July compared to the previous month, reaching 2,819 million tons, up 1.1% year on year. Further, global wheat utilization increased from around 762 million tons in 2020–2021 to about 773 million tons in 2021–2022, and it is anticipated to increase to 780 million tons in 2022–2023. Therefore, the need for increased food production for food security will drive artificial intelligence (AI) in agriculture market.
Key Industry Players
Major companies operating in the artificial intelligence (ai) in agriculture market report are 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
The artificial intelligence (ai) in agriculture market report table of contents includes:
1. Executive Summary
2. Market Characteristics
3. Market Trends And Strategies
4. Impact Of COVID-19
5. Market Size And Growth
6. Segmentation
7. Regional And Country Analysis
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27. Competitive Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
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