Dublin, Oct. 06, 2025 (GLOBE NEWSWIRE) -- The "AI In Precision Farming Market Size, Share, Trends, Analysis, and Forecast 2025-2034 | Global Industry Growth, Competitive Landscape, Opportunities, and Challenges" has been added to ResearchAndMarkets.com's offering.
The Global AI In Precision Farming Market, currently valued at USD 862.7 million, is projected to expand significantly, reaching USD 3.86 billion by 2034, with an impressive CAGR of 18.1%. The transformation driven by AI in precision farming is revolutionizing agriculture, focusing on efficiency, sustainability, and productivity.
By integrating artificial intelligence technologies such as machine learning, computer vision, and robotics, farming operations are optimized. AI solutions enable automation, enhanced crop monitoring, and improved resource management, leveraging data from sensors, drones, and satellites for real-time analytics on crop health, soil conditions, and weather patterns.
This market spans various agricultural sectors, encompassing crop production, livestock farming, and aquaculture, emphasizing the development of intelligent systems to enhance productivity, reduce costs, and minimize environmental impacts. The adoption of AI marks a transition from traditional farming methods to automated, data-driven processes.
The year 2024 witnessed a surge in AI adoption in the precision farming sector, particularly in crop monitoring and resource optimization. Computer vision's role in analyzing crop health and disease detection has expanded. Drones and satellite imagery powered by AI have enhanced field mapping and yield prediction capabilities. Furthermore, AI solutions are increasingly applied in irrigation and fertilization optimization. AI-powered automated harvesting platforms are on the rise, while AI-driven robotics in weed control boosts efficiency. AI's involvement in weather prediction has significantly improved planning efforts.
Looking forward, continuous growth and innovation in the AI precision farming market are anticipated post-2025. Developments in autonomous farming, including self-driving tractors and robots, will intensify. The integration of AI with blockchain will enhance traceability and transparency throughout the food supply chain.
The automation of complex tasks, such as pest management and soil analysis, is expected to increase, alongside the rise of personalized farming tailored to individual crop needs. A focus on sustainable farming practices, leveraging AI for resource optimization and environmental impact reduction, will gain momentum. AI's role in enhancing livestock monitoring and supporting small-scale farming operations will also expand.
5 Key Trends:
- Crop Health Monitoring: Computer vision for crop health analysis and disease detection.
- Drone and Satellite Imagery Analysis: Enhanced field mapping and yield prediction with AI.
- Automated Irrigation and Fertilization: Optimizing resources through AI.
- Robotic Harvesting: Automation of harvesting tasks by AI-driven robots.
- Autonomous Farming: Self-driving tractors and robots enabled by AI.
4 Key Drivers:
- Increased Productivity: AI optimization elevates farming operations and yields.
- Sustainable Agriculture: AI minimizes environmental impacts and optimizes resources.
- Labor Shortages: AI reduces reliance on manual labor through automation.
- Technological Advancements: Enhancements in computer vision and machine learning.
1 Major Challenge:
- Data Connectivity and Infrastructure: Ensuring reliable internet and data infrastructure in rural regions.
Market Segmentation
By Type:
- Machine Learning
- Computer Vision
- Other Types
By Offering:
- Hardware
- Software
- AI-as-a-Service
- Service
By Application:
- Experimental Study
- Farm Management
- Private Planting
- Other Applications
By Geography:
- North America (USA, Canada, Mexico)
- Europe (Germany, UK, France, Spain, Italy, Rest of Europe)
- Asia-Pacific (China, India, Japan, Australia, Vietnam, Rest of APAC)
- The Middle East and Africa (Middle East, Africa)
- South and Central America (Brazil, Argentina, Rest of SCA)
Companies Featured:
- Microsoft Corporation
- Robert Bosch GmbH
- Intel Corporation
- International Business Machines Corporation
- Bayer AG
- Deere & Company
- SAP SE
- Yara International ASA
- DTN LLC
- FarmWise Labs Inc.
- Taranis Visual Ltd.
- Blue River Technology Inc.
- Agworld Inc.
- Ceres Imaging Inc.
- PrecisionHawk Inc.
- FarmLogs Inc.
- Prospera Technologies Ltd.
- Arable Labs Inc.
- Agribotix LLC
- Resson Aerospace Corporation
Research Benefits:
- Global, regional, and key country sales data for the AI In Precision Farming market from 2024 to 2034. Companies can assess market share, analyze prospects, identify new markets, and plan market entry strategies.
- Market segmentation by types and applications supports managers in strategic product and budget planning.
- Key insights into drivers, restraints, challenges, and growth opportunities guide stakeholders in understanding market dynamics and mitigating risks.
- SWOT analysis and competitor strategies support strategic positioning within the industry.
- Investors gain insights into AI In Precision Farming business prospects by region, key countries, and leading companies for informed investment decisions.
Available Customizations
The standard syndicate report caters to common interests of AI in Precision Farming Market stakeholders across the value chain. It includes selective data and analysis as per the scope and price of the publication. Clients can request customized data and analysis tailored to their specific research requirements, with several customization options available.
Customization Requests:
- Segmentation modifications to reflect types, applications, end-uses, or processes of interest.
- AI In Precision Farming pricing, supply chain margins, international trade data, and more.
- Comprehensive supply chain, PESTLE, macro-economic analyses, and other market insights.
- Processing/manufacturing requirements, patent analysis, technology trends, and product innovations.
- Geographic breakdown customization for specific regions or countries, such as South East Asia, Central Asia, Western Europe, North Africa, etc.
- Financial projections like capital requirements, income forecasts, and profit predictions for project reports.
- 10% content customization available at no extra charge.
Key Attributes
| Report Attribute | Details |
| No. of Pages | 150 |
| Forecast Period | 2025 - 2034 |
| Estimated Market Value (USD) in 2025 | $862.7 Million |
| Forecasted Market Value (USD) by 2034 | $3866.2 Million |
| Compound Annual Growth Rate | 18.1% |
| Regions Covered | Global |
For more information about this report visit https://www.researchandmarkets.com/r/7mkg8z
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