
Report ID: SQMIG20H2056
Skyquest Technology's expert advisors have carried out comprehensive research on the precision farming market to identify the major global and regional market trends and growth opportunities for leading players and new entrants in this market. The analysis is based on in-depth primary and secondary research to understand the major market drivers and restraints shaping the future development and growth of the industry.
Rising Demand for Resource Efficiency
Government Support and Policy Initiatives
Limited Technical Knowledge Among Farmers
Connectivity and Infrastructure Challenges
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Global Precision Farming Market size was valued at USD 9.8 Billion in 2023 poised to grow between USD 10.85 Billion in 2024 to USD 24.45 Billion by 2032, growing at a CAGR of 10.7% in the forecast period (2025-2032).
The global precision farming market outlook is highly competitive, with key players like Deere & Company, Trimble Inc., AGCO Corporation, CNH Industrial, and Topcon Positioning Systems leading innovation. Deere & Company invests in AI and automation for smart tractors, while Trimble focuses on expanding its GPS and software solutions. AGCO emphasizes precision planting technology through acquisitions. These companies drive market growth through R&D, strategic partnerships, and expanding integrated digital farming platforms.'Deere & Company (USA)', 'Trimble Inc. (USA)', 'AGCO Corporation (USA)', 'CNH Industrial N.V. (United Kingdom)', 'Topcon Positioning Systems (Japan)', 'Raven Industries (USA)', 'Kubota Corporation (Japan)', 'BASF SE (Germany)', 'Yara International ASA (Norway)', 'Valmont Industries, Inc. (USA)', 'TeeJet Technologies (USA)', 'Hexagon Agriculture (Sweden)', 'Ag Leader Technology (USA)', 'Taranis (Israel)', 'SST Software (USA)'
Precision farming addresses the growing need to optimize agricultural inputs like water, fertilizers, and pesticides. By using technologies such as GPS, sensors, and data analytics, farmers can apply inputs only where needed, minimizing waste and cost. This demand for sustainable resource management is driving widespread adoption across global agricultural sectors.
Integration of AI and Machine Learning in Farming Decisions: AI and machine learning are transforming the global precision farming market trends by enabling real-time analysis of field data. These technologies support predictive insights on irrigation, fertilization, and pest control. As a result, farmers make data-driven decisions that boost yield, reduce input costs, and promote sustainable, automated agricultural practices across global farming operations.
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Report ID: SQMIG20H2056
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