DUBLIN, June 9, 2026 (Globe Newswire) — ‘Generative AI in Agriculture Markets Report 2026’ added ResearchAndMarkets.com Offerings.
Generative artificial intelligence (AI) in the agriculture market is experiencing tremendous growth and is expected to expand from $280 million in 2025 to $930 million by 2030, at a compound annual growth rate (CAGR) of 27.2%. This is being driven by the introduction of mechanized farming, AI-enabled precision farming, and innovative practices that improve crop yields. The future of the industry lies in AI-powered precision agriculture, predictive analysis of climate impacts, and automated soil analysis. Leading companies in this space include Bayer AG, Benson Hill Inc., Raven Industries Inc., AeroFarms LLC, and many others that are actively integrating generative AI to improve agricultural production.
At the same time, generative AI in banking and financial markets is also on the rise, driven by increased focus on data security in response to growing cyber threats. Organizations are deploying advanced AI technologies, including cloud-based platforms, to automate complex workflows, improve decision-making, and ensure data integrity. Notably, Ally Financial launched Ally.ai in 2023 to leverage machine learning and natural language processing, highlighting the trend towards improving customer interactions and operational efficiency.
Pivotal developments include Sparq’s acquisition of Kingsmen Software in July 2024; It aims to combine advanced generative AI strategies for financial technology and enhance Sparq’s service offering. The banking sector’s reliance on AI to improve data security is supported by statistics from the UK Department for Science, Innovation and Technology, which report that a significant proportion of businesses have been affected by cybercrime in recent years.
Regionally, North America is leading the generative AI revolution in banking and finance by 2025, with Asia Pacific poised to experience the fastest growth. For agriculture, tariffs are a double-edged sword, raising the cost of importing AI technology while at the same time encouraging local innovation and manufacturing of domestic AI solutions. This scenario presents a unique opportunity for regions like Asia-Pacific to leverage locally developed and cost-effective agricultural technologies.
The generative AI sector in agriculture is also being applied to wheat, rice, and corn, and is essential to strengthening global food security. Advanced technologies such as deep learning, robotics, and machine learning are being used to improve precision agriculture, soil analysis, and crop management. Key end users range from farmers to government agencies to agritech startups.
The value of generative AI in the agricultural market includes revenue from a variety of services such as pest and disease detection, soil health monitoring, and yield prediction software. As businesses continue to innovate, the agricultural and financial sectors are poised to usher in an era of unprecedented AI-powered growth.
of Generative Artificial Intelligence (AI) in Agriculture Market Global Report 2026 Provides critical insights for strategists, marketers, and senior executives to evaluate rapidly growing markets. This report focuses on generative AI in agriculture and provides a comprehensive guide to the emerging trends expected to shape the sector over the next decade and beyond.
Reason for purchase:
- Gain a global perspective with insights covering 16 regions.
- Assess the macroeconomic impacts of geopolitical conflicts, trade policy, inflation, interest rate changes, and regulatory changes.
- Develop regional strategies based on local data and analysis.
- Identify and invest in key growth segments.
- Outperform your competitors with predictive data and market trends.
- Conduct end-user based customer evaluations.
- Compare with key competitors by market share, innovation, and branding.
- Measure market potential using Total Addressable Market (TAM) and market attractiveness scores.
- Utilize report data for presentations with high-quality analysis.
- Access the latest data with updates and receive an Excel data sheet for easy extraction and analysis.
- Visualize your data in Excel dashboard format.
explanation: This report answers important questions about the largest and fastest growing market for generative AI in agriculture, its relationship to the broader economy and demographics, and the forces impacting the future of agriculture, including technological disruption, regulatory change, and changing consumer behavior.
Report contents: This report investigates market characteristics, size, segmentation, regional insights, competitive landscape, and strategic trends. It analyzes historical and projected growth across regions, focusing on market differentiation, innovation, and supply chain overview. The analysis covers regulation, investment trends, the impact of global events such as the Russia-Ukraine conflict, and assesses the impact of inflation and interest rate trends. Extensive TAM analysis reveals market potential and attractiveness scoring supports strategic planning. Detailed segmentation provides insight into growth areas by crop type, technology, application and end-user industry.
Target market:
- By crop type: Wheat, rice, corn, vegetables and other crops
- By technology: Deep learning, computer vision, machine learning, NLP, robotics
- By application: Precision agriculture, crop management, soil analysis, etc.
- By end user: Farmers, technology companies, consultants, governments, research institutions
Subsegment: Wheat, rice, corn, and certain types and types of vegetables.
Companies mentioned: Includes major companies such as Bayer AG, Benson Hill Inc., Raven Industries Inc., AgroStar, and FarmWise Labs Inc.
Geographical scope: The detailed analysis covers Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, US, Canada, Italy, and Spain across Asia Pacific, Southeast Asia, Western Europe, Eastern Europe, and the Americas.
Time series: Features up to 10 years of forecasts along with 5 years of historical data.
Data source: See endnotes with statistics such as GDP ratios and market share trends.
Formats provided: Available in interactive formats with Word, PDF, and Excel dashboards.
Value-added services: Semi-annual data updates, report customization, and expert consultant support.
Key attributes:
| report attributes | detail |
| Number of pages | 250 |
| Forecast period | 2026-2030 |
| Estimated market value in 2026 (USD) | 360 million dollars |
| Projected market value to 2030 (USD) | 930 million dollars |
| compound annual growth rate | 27.2% |
| Target area | global |
Featured companies
The companies profiled in this Generative AI in Agriculture market report are:
- Bayer AG
- benson hill company
- Raven Industries Co., Ltd.
- Aggrostar
- Farmwise Lab Co., Ltd.
- Centella Co., Ltd.
- Farmers Edge Co., Ltd.
- Taranis
- AeroFarms LLC
- Ceres Imaging Co., Ltd.
- CropX Co., Ltd.
- farm bot
- Source AG
- farm log
- Fasal
- Agriweb Pty Ltd.
- Erobotics Co., Ltd.
- IUNU Co., Ltd.
- Trace Genomics Co., Ltd.
- kisan hub
- agmatics
- agroup
- Aker Technologies Co., Ltd.
- bloomfield robotics
- smart farm
- Harvest CROO LLC
For more information on this report, please visit https://www.researchandmarkets.com/r/j57nr6.
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Generative AI in agricultural markets
