Press release
AI in Agriculture Market Rising with Precision Farming & Smart Crop Management | Market Players: Microsoft, IBM, Granular Inc., AgEagle Aerial Systems Inc., Google LLC
AI in Agriculture Market
The global AI in Agriculture market has witnessed significant growth over the past few years, driven by increasing demand across multiple industries and advancements in technology. The market is characterized by rising adoption of innovative solutions, growing consumer awareness, and supportive government regulations in major economies. As industries continue to prioritize efficiency, sustainability, and cost optimization, AI in Agriculture is becoming a critical enabler of business transformation.
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AI in agriculture leverages machine learning, robotics, and computer vision to improve farming efficiency, with market growth supported by precision farming adoption, rising global food demand, and sustainability initiatives in crop monitoring and automation.
Key Highlights from the Report
➤ The AI in Agriculture market is projected to grow at a CAGR of 23.1% between 2024-2031.
➤ The precision farming segment dominates through yield monitoring and soil management, while the livestock monitoring segment grows fastest with smart animal health solutions.
➤ North America dominates the AI in agriculture market, while Asia Pacific is the fastest growing region with rapid adoption of smart farming.
➤ Strategic collaborations and M&A activities are shaping the competitive landscape.
➤ Sustainability and digital transformation are creating new opportunities in the market.
Market Segmentation
By Deployment (Cloud, On-Premise), By Technology (Machine Learning, Predictive Analytics, Computer Vision, Others), By Offering (Software, Hardware, Service), By Application (Precisio, Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, Labor Management, Others), By Farm Size (Small (Less Than 5 Hectare), Medium (5 -10 Hectare), Large (Above 10 Hectare)), By End-User (Farmers, Agribusinesses, Others)
Company Insights
Key players operating in the AI in Agriculture market include:
Microsoft, IBM, Granular Inc., AgEagle Aerial Systems Inc., Google LLC, Deere & Company, Cropin Technology Solutions Private Limited, Bayer AG, KissanAI, and Niqo Robotics.
Recent Developments
➠ In September 2024, Niqo Robotics, a leader in AI-powered agricultural technology, expanded into North America with the launch of the Niqo RoboThinner. This innovative spot-sprayer automates lettuce thinning, providing farmers with a precise and efficient solution to enhance crop uniformity.
➠ In July 2024, Taranis, a global leader in crop intelligence, unveiled its groundbreaking Ag Assistant, an AI-powered tool designed for agriculture retailers and producers. The Ag Assistant integrates data from images, text, and audio, offering advanced insights through a deep understanding of agronomy. This innovative technology marks a significant leap in AI-driven solutions for the agricultural sector.
➠ In July 2024, India-based Cropin Technology launched Sage, the world's first real-time agri-intelligence solution powered by Google Gemini. Sage transforms global agricultural data into a proprietary grid-based map, offering insights at various scales, from 3x3 meters to 5x5 kilometers. The platform empowers stakeholders across the agriculture sector to make data-driven decisions on cultivation, climate, and more, helping businesses future-proof their production and supply chains.
➠ In March 2024, NEC and Sumitomo Corp. partnered to launch an agricultural support service using artificial intelligence to analyze data, improve crop yields, and optimize resource usage in response to extreme weather events caused by climate change.
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Regional Insights
The global AI in Agriculture market demonstrates strong performance across multiple regions:
• North America leads the market due to high adoption rates, strong R&D activities, and the presence of key market players.
• Europe benefits from stringent regulations, increasing focus on sustainability, and government-backed innovation programs.
• Asia-Pacific is expected to witness the fastest growth during the forecast period, fueled by rapid industrialization, growing consumer base, and rising investment in infrastructure.
• Latin America and Middle East & Africa are also showing promising growth, supported by economic reforms and foreign direct investments.
Market Dynamics
AI adoption in agriculture is driven by precision farming and yield optimization. Restraints include high deployment costs and limited digital infrastructure in rural areas. Opportunities exist in drone-based monitoring and predictive analytics. Challenges revolve around data integration and farmer training.
The Report Includes:
➡ A descriptive analysis of demand-supply gap, market size estimation, SWOT analysis, PESTEL Analysis and forecast in the global market.
➡ Go-to-market Strategy.
➡ Neutral perspective on the market performance.
➡ Customized regional/country reports as per request and country level analysis.
➡ Potential & niche segments and regions exhibiting promising growth covered.
Reasons to Buy the Report
✔ Comprehensive market insights with accurate growth projections through 2032.
✔ In-depth segmentation analysis to identify high-growth areas.
✔ Regional breakdown highlighting key opportunities across global markets.
✔ Competitive landscape profiling leading players and recent strategic moves.
✔ Actionable insights for investors, policymakers, and industry stakeholders.
Frequently Asked Questions (FAQs)
◆ How Big is the Global AI in Agriculture Market?
◆ Who are the Key Players in the AI in Agriculture Industry?
◆ What is the Projected Growth Rate (CAGR) of the Market from 2025 to 2032?
◆ What is the Forecast Value of the Market by 2032?
◆ Which Region is Expected to Dominate the Market During the Forecast Period?
Conclusion
The global AI in Agriculture market is positioned for significant growth, driven by strong demand across industries, technological innovation, and supportive regulatory environments. While challenges such as high costs and regulatory hurdles exist, emerging opportunities in digital transformation, sustainability, and new applications are expected to create profitable pathways for market players. Companies that invest in innovation and strategic collaborations will remain at the forefront of this evolving landscape.
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✅ Competitive Landscape
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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.
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