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Top Trends Transforming the Generative Artificial Intelligence (AI) In Agriculture Market Landscape in 2025: Innovative Generative AI Systems Transforming Agriculture
Use code ONLINE30 to get 30% off on global market reports and stay ahead of tariff changes, macro trends, and global economic shifts.What Will the Generative Artificial Intelligence (AI) In Agriculture Industry Market Size Be by 2025?
There has been an exceptional growth in the market size of generative artificial intelligence (AI) in agriculture in the past few years. The market size is projected to escalate from $0.22 billion in 2024 to $0.28 billion in 2025, with a compound annual growth rate (CAGR) of 27.7%. Factors contributing to this growth during the historic period include the digital overhaul of financial services, the requirement for improved customer experiences, the emergence of data analytics capabilities, increasing demands for regulatory compliance, the need for detecting fraud and managing risk, along with the rising significance of operational efficiency and cost reduction.
What's the Long-Term Growth Forecast for the Generative Artificial Intelligence (AI) In Agriculture Market Size Through 2029?
In the coming years, the market size for generative artificial intelligence (AI) in agriculture is projected to experience significant growth, with estimations set at $0.73 billion by 2029, reflecting a compound annual growth rate (CAGR) of 27.3%. Factors contributing to the growth during the forecast period include the need for customized financial services, the integration of AI with current banking systems for improved operations, the need for predictive analytics in risk management, a focus on improving client trust and transparency, a pressing need to deal with data privacy issues, swift changes in workforce skills to back AI initiatives, and competitive pressure to harness modern AI technologies to sustain market dominance. Key trends for the forecast period are the incorporation of generative AI in risk management and the detection of fraud systems, enhancement of AI capabilities in algorithmic trading and investment tactics, improvement of regulatory compliance via automated reporting, the emergence of AI-driven virtual assistants for customer service, the creation of advanced predictive analytics for market predictions, and a growing focus on ethical AI practices to guarantee transparency and fairness in AI applications.
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What Are the Key Growth Drivers Fueling the Generative Artificial Intelligence (AI) In Agriculture Market Expansion?
The expanding crop yields are anticipated to stimulate the growth of the generative AI sector in the agricultural market. Crop yields refer to the volume of crop produced on a unit area of land. Due to various contributing elements including advanced farming methods, superior seed types, innovative technology, effective pest control, optimised irrigation, advanced soil stewardship, climate adaptation, and consistent research and development, crop productivity rates are growing. Generative AI is essential in agriculture for crop yield as it aids in the precise forecasting and optimisation of growth conditions, resource distribution, and management methods. This results in improved productivity and minimised wastage. For example, the Department for Environment, Food and Rural Affairs, a government department based in the UK, reported in February 2024 that the total cereal output in 2022, consisting of wheat, barley, oats, and minor cereals (rye, triticale, and mixed grain) in the UK was nearly 24.3 million metric tons - an 8% increase compared to 2021. This production's value escalated by 54% to approximately $7.9 billion (£6.2 billion), propelled by the interplay of elevated prices and increased yield. As a result, the surge in crop yields is bolstering the generative AI industry in farming.
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What Are the Key Trends Driving Generative Artificial Intelligence (AI) In Agriculture Market Growth?
Leading businesses in the generative AI sector in agriculture are innovating with high tech products, which include generative AI systems, to advance agricultural methods. These generative AI systems are engineered to generate new data samples mimicking the attributes of the initial dataset and are often applied for duties like creating images, text, and augmenting data. For example, in April 2024, Cropin Technology, an agritech company based in India unveiled Aksara. This state-of-the-art generative AI system is aimed at climate-smart agriculture and provides customised guidance for nine significant crops-paddy, wheat, maize, sorghum, barley, cotton, sugarcane, soybeans, and millets - in six countries of the Indian subcontinent. The system delivers practical insights on crop inputs and climate-smart guidance tailored to unique agro-climatic conditions. By addressing the difficulties faced by the underprivileged farming communities in the Global South, Aksara helps overcome information obstacles and helps the agriculture sector stakeholders to develop efficient and expandable AI-led solutions.
How Is the Generative Artificial Intelligence (AI) In Agriculture Market Segmented?
The generative artificial intelligence (AI) in agriculture market covered in this report is segmented -
1) By Crop Type: Wheat, Rice, Corn, Vegetables, Other Crop Types
2) By Technology: Deep Learning, Computer Vision, Machine Learning, Natural Language Processing, Robotics
3) By Application: Precision Farming, Livestock Management, Crop Management, Soil Analysis, Other Applications
4) By End User Industry: Farmer, Agriculture Technology Companies, Agriculture Consultants, Government Agencies, Research Institutions
Subsegments:
1) By Wheat: Hard Red Winter Wheat, Soft Red Winter Wheat, Hard Red Spring Wheat, Durum Wheat
2) By Rice: Basmati Rice, Jasmine Rice, Long-Grain Rice, Short-Grain Rice
3) By Corn: Sweet Corn, Field Corn, Flint Corn, Popcorn
4) By Vegetables: Leafy Greens, Root Vegetables, Cruciferous Vegetables, Solanaceous Vegetables
5) By Other Crop Types: Fruits, Pulses, Oilseeds, Fiber Crops
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Which Companies Are Leading the Charge in Generative Artificial Intelligence (AI) In Agriculture Market Innovation?
Major companies operating in the generative AI in agriculture market are 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.
Which Regions Are Leading the Global Generative Artificial Intelligence (AI) In Agriculture Market in Revenue?
North America was the largest region in the generative AI in agriculture market in 2024.Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in agriculture market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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