The global Artificial Intelligence in Agriculture Market is on track for explosive growth, rising from USD 1.8 billion in 2023 to USD 12.8 billion by 2032, according to a new report by SNS Insider. This expansion, at a CAGR of 24.34%, reflects the agricultural sector’s accelerating shift towards AI-powered, climate-smart practices aimed at optimizing yields and sustainability.

In the United States, the market is expected to grow from USD 0.5 billion in 2023 to USD 3.4 billion by 2032, propelled by early technology adoption, federal government support, and rising investments in precision farming and autonomous equipment. With sustainability taking center stage, both public and private sectors are committing resources to advanced agri-tech solutions.

Key Drivers of Growth

At the core of this transformation is the adoption of AI tools that enhance decision-making, automate labor-intensive tasks, and reduce resource waste. From crop monitoring to yield forecasting, AI’s role is expanding rapidly.

Leading the charge are companies like:

• IBM (Watson Decision Platform)
• Microsoft (Azure FarmBeats)
• Deere & Company (See & Spray)
• BASF (xarvio Digital Farming)
• Bayer (Climate FieldView)

Their technologies enable smarter planting, targeted fertilization, and real-time disease detection, solutions that are becoming essential in the face of climate change and growing food demand.

Read More: As AI Emissions Soar, So Do Climate Claims: Experts Remain Skeptical

Software Leads, Hardware Gains Speed

In 2023, software solutions accounted for 55% of market revenue, driven by the need for integrated platforms that process data from edge devices, sensors, and smart machinery. These tools help farmers interpret vast datasets to guide timely actions in the field.

Meanwhile, hardware is catching up fast. Falling costs and rising availability of drones, automated irrigation systems, and robotic sensors are driving a surge in adoption. This segment is expected to record the fastest growth rate through 2032, as more farmers invest in advanced field-level automation.

Technology Breakdown: ML Dominates, Vision Rises

Machine learning and deep learning accounted for 47% of the technology share in 2023, thanks to their effectiveness in identifying patterns in soil, crop, and weather data. These tools assist in predictive planning, from choosing the best sowing dates to fine-tuning fertilizer application.

However, computer vision is the fastest-growing segment, finding applications in pest detection, weed identification, and fruit grading. AI-enabled cameras and image analysis tools are becoming crucial in maintaining crop health and ensuring quality.

Applications: Precision Farming Leads, Robots Gain Ground

Precision farming was the dominant application segment in 2023. Its ability to boost efficiency while conserving water, energy, and chemicals makes it a key strategy for sustainable agriculture.

However, agriculture robots are emerging rapidly. These machines, capable of autonomous harvesting, soil testing, and seed planting, are helping address labor shortages and are proving invaluable for large-scale operations.

Regional Trends: North America Leads, Asia-Pacific Accelerates

In 2023, North America held 36% of global market revenue, thanks to its strong digital infrastructure, widespread deployment of AI tools, and policy support.

But the Asia-Pacific region is expected to see the fastest growth through 2032. Countries like India, China, and Japan are scaling up AI adoption to meet rising food demands and improve productivity. Government-backed digital farming initiatives and a growing ecosystem of agri-startups are fueling this momentum.

Also Read: Climate Technology: The Path to Net Zero and Sustainability

Developments in 2024

• IBM launched an AI-powered weather tool for smallholder farmers in Africa and South Asia (June).
• John Deere teamed up with NVIDIA to enhance real-time analytics for autonomous tractors (May).
• Bayer Crop Science rolled out an AI-driven disease detection platform for wheat and corn (April).

As climate challenges grow and resource efficiency becomes critical, AI in agriculture is no longer optional; it’s transformative. With advancements in machine learning, automation, and precision tools, the global agri-tech landscape is poised for a revolution, backed by data.

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Source: GlobeNewsWire