Press release
Generative Artificial Intelligence (AI) In Agriculture Market Forecast 2025-2034: Comprehensive Analysis And Growth Opportunities
Generative Artificial Intelligence (AI) In Agriculture
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What Is the Projected Growth of the Generative Artificial Intelligence (AI) In Agriculture Market?_x000D_
The generative AI in agriculture market size will grow from $0.22 billion in 2024 to $0.28 billion in 2025, with a CAGR of 27.7%. The historic growth is linked to the digital transformation in agriculture, the need for enhanced operational efficiency, rising use of data analytics, and the growing importance of cost reduction and regulatory compliance._x000D_
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The generative AI in agriculture market size is expected to grow to $0.73 billion in 2029 at a CAGR of 27.3%. Growth factors include demand for personalized financial services, AI integration with banking systems, predictive analytics in risk management, customer trust enhancement, data privacy focus, and workforce skill evolution for AI. Key trends include AI in risk management, algorithmic trading, regulatory compliance, A_x000D_
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What Are the Different Generative Artificial Intelligence (AI) In Agriculture Market Segments?_x000D_
The generative artificial intelligence (AI) in agriculture market covered in this report is segmented -_x000D_
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1) By Crop Type: Wheat, Rice, Corn, Vegetables, Other Crop Types_x000D_
2) By Technology: Deep Learning, Computer Vision, Machine Learning, Natural Language Processing, Robotics_x000D_
3) By Application: Precision Farming, Livestock Management, Crop Management, Soil Analysis, Other Applications_x000D_
4) By End User Industry: Farmer, Agriculture Technology Companies, Agriculture Consultants, Government Agencies, Research Institutions_x000D_
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Subsegments:_x000D_
1) By Wheat: Hard Red Winter Wheat, Soft Red Winter Wheat, Hard Red Spring Wheat, Durum Wheat_x000D_
2) By Rice: Basmati Rice, Jasmine Rice, Long-Grain Rice, Short-Grain Rice_x000D_
3) By Corn: Sweet Corn, Field Corn, Flint Corn, Popcorn_x000D_
4) By Vegetables: Leafy Greens, Root Vegetables, Cruciferous Vegetables, Solanaceous Vegetables_x000D_
5) By Other Crop Types: Fruits, Pulses, Oilseeds, Fiber Crops_x000D_
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What Are the Primary Drivers Shaping the Generative Artificial Intelligence (AI) In Agriculture Market?_x000D_
The rise in crop yields is projected to drive the growth of the generative AI in agriculture market in the coming years. Crop yield refers to the quantity of agricultural output produced per unit of land. This upward trend is being fueled by factors such as advanced farming techniques, improved seed genetics, technological innovation, effective pest control, efficient irrigation systems, better soil management, climate adaptability, and continuous R&D efforts. Generative AI supports higher crop yields by enabling accurate forecasting, optimizing cultivation conditions, and improving resource management, which enhances overall productivity and minimizes waste._x000D_
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Which Companies Are Leading in the Generative Artificial Intelligence (AI) In Agriculture Market?_x000D_
Major players in the generative AI in agriculture market include Bayer AG, Benson Hill Inc., Raven Industries Inc., AgroStar, FarmWise Labs Inc., Sentera Inc., Farmers Edge Inc., Taranis, AeroFarms LLC, Ceres Imaging Inc., CropX Inc., FarmBot, Source AG, FarmLogs, Fasal, AgriWebb Pty Ltd., Ecorobotix Ltd., IUNU Inc., Trace Genomics Inc., KisanHub, Agmatix, Agroop, Aker Technologies Inc., Bloomfield Robotics, SmartFarm, and Harvest CROO LLC._x000D_
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What Trends Are Driving Growth in The Generative Artificial Intelligence (AI) In Agriculture Market?_x000D_
Leading companies in the generative AI in agriculture market are focusing on developing advanced technologies, including generative artificial intelligence (AI) systems, to improve farming methods. These generative AI systems are designed to produce new data samples that closely resemble the original datasets and are commonly utilized for applications such as image synthesis, text generation, and data augmentation._x000D_
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What Are the Top Revenue-Generating Geographies in the Generative Artificial Intelligence (AI) In Agriculture Market?_x000D_
In 2024, North America accounted for the largest share of the generative AI in agriculture market. Meanwhile, Asia-Pacific is projected to experience the fastest growth during the forecast period. The market report covers key regions including Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa._x000D_
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Frequently Asked Questions:_x000D_
1. What Is the Market Size and Growth Rate of the Generative Artificial Intelligence (AI) In Agriculture Market?_x000D_
2. What is the CAGR expected in the Generative Artificial Intelligence (AI) In Agriculture Market?_x000D_
3. What Are the Key Innovations Transforming the Generative Artificial Intelligence (AI) In Agriculture Industry?_x000D_
4. Which Region Is Leading the Generative Artificial Intelligence (AI) In Agriculture Market?_x000D_
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Why This Report Matters:_x000D_
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Competitive overview: This report analyzes the competitive landscape of the 3D imaging software market, evaluating key players on market share, revenue, and growth factors._x000D_
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Informed Decisions: Understand key strategies related to products, segmentation, and industry trends._x000D_
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Efficient Research: Quickly identify market growth, leading players, and major segments.
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