AI in Agriculture Market Set for Explosive Growth to USD 15.90 Billion by 2032, Fueled by Precision Farming and Digital Transformation | DataM Intelligence

The Global AI in Agriculture Market reached US$ 2,567.54 million in 2024 and is expected to reach US$ 15,901.36 million by 2032, growing with a remarkable CAGR of 25.60% during the forecast period 2025-2032. This transformative growth is driven by the urgent global need for enhanced food security, the rising adoption of precision farming techniques to optimize resources, and the rapid digitalization of agricultural practices to combat labor shortages and climate volatility.

Get a Free Sample PDF Of This Report (Get Higher Priority for Corporate Email ID):- https://www.datamintelligence.com/download-sample/ai-in-agriculture-market?jd

Asia-Pacific Key Industry Developments (Largest & Fastest Growing Region)
✅ December 2025: Indian Agritech Startup KissanAI Partners with State Government for AI-Driven Advisory Rollout: KissanAI announced a strategic partnership with a major Indian state government to deploy its generative AI-powered chatbot and advisory platform to over 500,000 smallholder farmers. The initiative aims to deliver localized, real-time insights on crop management, pest control, and market prices in regional languages.
✅ November 2025: Chinese Province Launches Large-Scale AI and Satellite Imaging Pilot for Rice Yield Prediction: A leading agricultural province in China initiated a provincial-scale pilot program integrating AI analytics with high-resolution satellite imagery. The system is designed to predict rice yields, monitor crop health, and optimize irrigation schedules for thousands of farms, showcasing scalable precision agriculture.
✅ October 2025: Southeast Asian Agri-Business Consortium Forms Alliance with Google Cloud: A consortium of major palm oil and rubber producers in Southeast Asia formed a strategic alliance with Google LLC (Google Cloud) to develop custom AI models for sustainable crop monitoring and supply chain traceability, addressing stringent international ESG (Environmental, Social, and Governance) compliance requirements.

Key Mergers and Acquisitions (2025)
✅ November 2025: Deere & Company Acquires a Specialist AI Vision Startup for Robotic Harvesting: Deere & Company completed the acquisition of a specialized computer vision startup focused on high-speed, AI-driven fruit and vegetable recognition. This acquisition aims to integrate advanced perception capabilities into Deere's next-generation autonomous harvesting and weeding robots, enhancing their accuracy and operational speed in complex, unstructured farm environments.
✅ October 2025: Bayer AG Invests in and Partners with an African IoT and AI Soil Analytics Firm: Bayer AG executed a strategic minority investment and commercial partnership with a prominent African agri-tech company specializing in IoT sensors and AI for soil nutrient analysis. The move is designed to strengthen Bayer's digital farming portfolio in high-growth African markets and tailor its crop science solutions to local soil conditions.

Purchase this report before year-end and unlock an exclusive 30% discount:
https://www.datamintelligence.com/buy-now-page?report=ai-in-agriculture-market
(Purchase 2 or more Reports and get 50% Discount)

Market Segmentation Analysis
-By Application: Precision Farming is the Core, Robotics and Livestock Monitoring Grow
Precision Farming is the dominant application, utilizing AI for variable rate planting, fertilizer application, and irrigation. This maximizes yield and input efficiency, making it the cornerstone of modern smart agriculture and the primary driver of AI adoption.
Agriculture Robots (agribots) and Livestock Monitoring are high-growth segments. AI-powered robots automate tasks like harvesting and weeding, while computer vision and sensor-based systems monitor animal health and behavior, improving productivity and welfare.

-By Technology: Machine Learning and Computer Vision Lead Innovation
Machine Learning (ML) and Predictive Analytics form the analytical backbone, processing vast datasets from sensors, drones, and satellites to forecast yields, predict disease outbreaks, and optimize supply chains.
Computer Vision is a critical enabling technology, allowing drones and ground robots to visually identify weeds, assess crop stress, count fruit, and monitor livestock, providing the "eyes" for automated decision-making.

-By Offering: AI Software Solutions Drive Value, Services Segment Expands
Software (AI platforms, analytics suites, SaaS models) holds the dominant market share and drives most of the value creation. It is where algorithms are developed and deployed to turn farm data into actionable insights.
Services (integration, consulting, managed services) is the fastest-growing segment as farmers and agribusinesses seek expert assistance to deploy, customize, and maintain complex AI systems, ensuring a return on their technology investment.

Growth Drivers:
1. Mounting Global Pressure for Food Security and Yield Optimization: With a growing global population and limited arable land, AI is critical for enhancing crop yields, reducing waste, and ensuring stable food supplies through data-driven farming.
2. Rising Adoption of Precision Agriculture Practices: The shift from blanket-field treatment to hyper-localized, data-informed management of water, fertilizers, and pesticides is fundamentally reliant on AI for analysis and execution, driving core market demand.
3. Need to Overcome Labor Shortages and Reduce Operational Costs: Chronic shortages of skilled farm labor and rising wage costs are accelerating investment in AI-driven automation, such as autonomous tractors, robotic harvesters, and drone-based scouting.
4. Increasing Government Support and Digital Farming Initiatives: Governments worldwide, particularly in Asia-Pacific, are launching subsidies, funding R&D, and creating national digital agriculture frameworks to modernize the sector and improve farmer livelihoods, providing a significant market tailwind.
5. Growing Emphasis on Sustainable and Climate-Resilient Farming: AI enables more sustainable practices by optimizing resource use (water, chemicals), monitoring soil health, and providing early warnings for extreme weather, helping agriculture adapt to climate change.

Speak to Our Analyst and Get Customization in the report as per your requirements: https://www.datamintelligence.com/customize/ai-in-agriculture-market?jd

Regional Insights
Asia-Pacific is the undisputed leader and growth engine. Its dominance is fueled by massive government investments in agri-tech, the presence of a huge smallholder farmer base ripe for digitization, and acute challenges related to farm productivity and climate impact, necessitating AI solutions.
North America and Europe are mature, innovation-driven markets. Growth is sustained by large-scale commercial farms with high technology adoption rates, strong R&D from major industry players, and a focus on high-value AI applications for crop analytics and autonomous equipment.

Key Players:
The major global players in the market include Microsoft, IBM, Granular Inc. (a subsidiary of Corteva), AgEagle Aerial Systems Inc., Google LLC (Alphabet), Deere & Company, Cropin Technology Solutions Private Limited, Bayer AG, KissanAI, and Niqo Robotics.

Key Highlights (Top 5 Key Players):
1. Deere & Company (John Deere) is transforming from an equipment manufacturer into a technology leader. Its strength lies in deeply integrating AI and computer vision into its machinery (e.g., See & SprayTM) and offering the John Deere Operations Center platform, creating a closed-loop ecosystem of smart, connected farm equipment.
2. Microsoft leverages its Azure cloud platform and AI services to be a foundational partner for agri-tech developers and large agribusinesses. Its competitive edge is providing scalable, secure cloud infrastructure, pre-built AI models, and tools like FarmBeats for data aggregation and analytics.
3. Bayer AG (through its Climate FieldView digital agriculture platform) combines agronomic science with data science. Its unique advantage is integrating field data with its deep seed and crop protection expertise, offering prescription insights to optimize the performance of its own products on farmers' fields.
4. IBM brings its enterprise-grade Watson AI and weather data capabilities (via The Weather Company) to agriculture. It focuses on large-scale solutions for supply chain traceability, crop yield forecasting, and environmental impact modeling for major food corporations and cooperatives.
5. Google LLC (Alphabet) applies its prowess in AI, machine learning, and geospatial analytics (Google Earth Engine) to agriculture. It partners with entities worldwide to develop solutions for satellite-based crop monitoring, yield prediction, and sustainability assessment, often through its Google Cloud platform.

Unlock 360° Market Intelligence with DataM Intelligence Subscription Services:
https://www.datamintelligence.com/reports-subscription?jd

Power your decisions with real-time competitor tracking, strategic forecasts, and global investment insights all in one place.
✅ Competitive Landscape Analysis
✅ Company Profile Analysis
✅ Market Volatility & Emerging Risks Analysis
✅ Quarterly Industry Report Updates
✅ Live Market & Pricing Trends
✅ Regulatory and Supply-Chain Analysis
Have a look at our Subscription Dashboard:
https://www.youtube.com/watch?v=x5oEiqEqTWg

Contact Us -
Company Name: DataM Intelligence
Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
Phone: +1 877 441 4866
Website: https://www.datamintelligence.com

About Us -
DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.
Our research database features countless statistics and in-depth analyses across a wide range of 6300+ reports in 40+ domains creating business solutions for more than 200+ companies across 50+ countries; catering to the key business research needs that influence the growth trajectory of our vast clientele.

This release was published on openPR.