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Precision agriculture market set for steady growth through 2035

The Business Research Company says the precision agriculture market rose from $9.37 billion in 2025 to a projected $10.54 billion in 2026, with North America leading and Asia-Pacific growing fastest. The report points to food demand, automation and AI-driven farm tools as the main forces shaping the market through 2035. Why it matters: - Precision agriculture is becoming a core tool for farmers trying to raise yields, cut waste and use water, fertilizer and fuel more efficiently. - The market’s growth reflects rising pressure to produce more food with fewer resources as climate and population challenges intensify. - The report frames precision agriculture as a sustainability and productivity play, not just a technology upgrade. What happened: - The Business Research Company released a 2026 precision agriculture market report covering market size, trends and a global forecast through 2035. - The precision agriculture market was valued at $9.37 billion in 2025. - The market is projected to reach $10.54 billion in 2026, a 12.5% compound annual growth rate. - The market is forecast to reach $16.72 billion by 2030, at a 12.2% CAGR. - North America was the largest regional market in 2025. - Asia-Pacific is expected to post the fastest growth over the forecast period. The details: - Precision agriculture uses data and technology to manage farming operations with more accuracy and control. - The approach draws on sensors, GPS, AI analytics and automation to improve crop yields and profitability. - Earlier market growth has been driven by GPS-based field mapping, wider remote sensing use, yield monitoring, resource optimization and basic automation in farm equipment. - Future growth is expected to come from real-time farm data, autonomous machinery, variable-rate technologies, AI-powered farm analytics and cloud-based farm management platforms. - Emerging trends include precision field monitoring, more data-informed agronomic decisions, automated irrigation and nutrient delivery, better crop health and soil tracking, and more connected machinery. - The report says the market spans Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - The report’s expanded 2026 features include market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel-based dashboards, market hotspots infographics, and key technology and future trend analysis. - The Business Research Company says it has more than 17,500 reports across 27 industries and 60 geographies, supported by 1,500,000 datasets. - The company says its Global Market Model provides updated forecasts for decision-making. - More information is available in the full report and a free sample . Between the lines: - The growth case depends on technologies that turn farms into data-rich operations, which gives larger producers and technology-ready markets an edge. - The report’s emphasis on autonomous machinery, AI analytics and cloud platforms suggests precision agriculture is moving from point solutions to integrated farm management systems. - The fastest growth in Asia-Pacific points to room for adoption beyond North America’s more mature market. - The World Bank Group projected in October 2024 that the global population will reach 10 billion by 2050 and food production will need to rise 60%, underscoring why farm-efficiency tools are gaining attention. What’s next: - The market is expected to keep expanding through 2030 as more farms adopt connected equipment, automation and variable-rate applications. - The report suggests future gains will depend on wider use of real-time data and more advanced farm analytics. - Regional competition is likely to intensify as Asia-Pacific adoption accelerates. The bottom line: - Precision agriculture is moving from a niche upgrade to a mainstream response to food-supply pressure, farm efficiency demands and sustainability goals.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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