--- mi_id: MIPR-node_7d0e275 type: press_release canonical_url: "https://www.pheonixresearch.com/agriculture-agritech/precision-farming/press-release/global-artificial-intelligence-in-agriculture-market/" md_url: "https://www.pheonixresearch.com/agriculture-agritech/precision-farming/press-release/global-artificial-intelligence-in-agriculture-market.md" schema: "@type": NewsArticle "@id": MIPR-node_7d0e275 url: "https://www.pheonixresearch.com/agriculture-agritech/precision-farming/press-release/global-artificial-intelligence-in-agriculture-market/" title: Pheonix Research Publishes 2026 “Global Artificial Intelligence in Agriculture Market Outlook – Press Release” description: "The Global Artificial Intelligence in Agriculture Market is projected to grow from USD 2.8 billion in 2025 to USD 12.6 billion by 2033 at a CAGR of 20.8%." datePublished: "2025-11-25T10:25:52+00:00" dateModified: "2026-05-12T11:23:30+00:00" keywords: - global artificial intelligence in agriculture market - AI in agriculture market - agritech AI market - smart farming market - precision agriculture AI - AI crop monitoring market - agricultural robotics market - AI farming solutions - digital agriculture market - machine learning in agriculture - computer vision farming - IoT agriculture market - smart farming technology - agriculture automation market - predictive analytics agriculture - drone agriculture AI - livestock monitoring AI - sustainable farming technology - agricultural AI software market - global agritech market size isPartOf: - id: MISG-node_df57ca4 type: CollectionPage url: "https://www.pheonixresearch.com/agriculture-agritech/precision-farming/" name: Precision Farming - id: MIIN-node_25bc9e9 type: CollectionPage url: "https://www.pheonixresearch.com/agriculture-agritech/" name: "Agriculture & Agritech" - id: MIWS-root type: WebSite url: "https://www.pheonixresearch.com/" name: Pheonix Research acf: phoenix_meta_title: "Global Artificial Intelligence in Agriculture Market Size, Growth" phoenix_meta_description: "The Global Artificial Intelligence in Agriculture Market is projected to grow from USD 2.8 billion in 2025 to USD 12.6 billion by 2033 at a CAGR of 20.8%." global_schema: organization: "@id": MIWS-root#organization "@type": Organization url: "https://www.pheonixresearch.com/" name: Pheonix Research website: "@id": MIWS-root "@type": WebSite url: "https://www.pheonixresearch.com/" name: Pheonix Research api: "@id": MIWS-root#api "@type": WebAPI url: "https://www.pheonixresearch.com/" graph: node_id: MIPR-node_7d0e275 graph_node_endpoint: "https://graph.statsfocus.com/api/v1/query/live/node/MIPR-node_7d0e275" graph_snapshot: "https://graph.statsfocus.com/api/v1/read/live/graph" graph_exclusions: "https://graph.statsfocus.com/api/v1/read/live/exclusions" graph_meta: "https://graph.statsfocus.com/api/v1/read/live/meta" graph_bundle: "https://graph.statsfocus.com/api/v1/read/live/bundle" discovery: discovery_json: "https://www.pheonixresearch.com/.well-known/pheonix-discovery.json" llms_txt: "https://www.pheonixresearch.com/llms.txt" sitemap: "https://www.pheonixresearch.com/sitemap.xml" --- # Pheonix Research Publishes 2026 “Global Artificial Intelligence in Agriculture Market Outlook – Press Release”   Global Artificial Intelligence in Agriculture Market to Reach USD 12.6 Billion by 2033, Driven by Precision Farming and Smart Agriculture Adoption May 2026 | Pheonix Research The Global Artificial Intelligence in Agriculture Market is projected to grow from USD 2.8 Billion in 2025 to USD 12.6 Billion by 2033, registering a CAGR of ~20.8% during 2026–2033, according to the latest insights from Pheonix Research. The market is witnessing rapid expansion driven by increasing adoption of precision farming technologies, rising global food demand, labor shortages in agriculture, and growing need for sustainable farming practices. Artificial intelligence is transforming traditional agricultural operations into highly efficient, data-driven, and automated systems capable of improving crop productivity while optimizing resource utilization. AI-powered technologies are increasingly being used across crop monitoring, soil analysis, irrigation optimization, livestock management, weed detection, drone analytics, and predictive farming applications. Farmers and agribusinesses are leveraging machine learning algorithms, computer vision systems, and predictive analytics to improve operational efficiency, reduce input costs, and maximize yields. A major growth driver is the accelerating adoption of precision agriculture. AI-enabled farming systems help farmers monitor field conditions in real time and apply water, fertilizers, and pesticides more efficiently. This targeted approach improves productivity while minimizing environmental impact and reducing agricultural waste. Another key factor driving market growth is the integration of IoT-enabled sensors, drones, satellite imaging, and cloud-based analytics platforms. These technologies provide real-time farm intelligence, enabling predictive decision-making and automated farm management processes. Additionally, labor shortages in agriculture are increasing demand for AI-powered robotics and automated machinery. Autonomous tractors, harvesting robots, and AI-enabled monitoring systems are helping farmers reduce dependency on manual labor and improve operational consistency. North America currently dominates the Global Artificial Intelligence in Agriculture Market due to strong adoption of precision farming technologies, advanced agritech infrastructure, and high investment in agricultural automation across the United States and Canada. Meanwhile, Asia-Pacific is emerging as the fastest-growing region, driven by rising food demand, expanding agritech startup ecosystems, and government-led smart farming initiatives in China, India, and Southeast Asia. A Senior Market Analyst at Pheonix Research stated: “Artificial intelligence is reshaping the future of global agriculture by enabling smarter, more sustainable, and highly productive farming systems. As digital agriculture adoption accelerates worldwide, AI technologies will become central to addressing food security and climate-related agricultural challenges.” Key Market Highlights • Precision farming adoption is accelerating demand for AI-driven agricultural solutions• AI-powered crop monitoring and predictive analytics are improving yield efficiency• Integration of drones, IoT sensors, and satellite imaging is transforming farm management• Labor shortages are increasing adoption of agricultural robotics and automation systems• Cloud-based farm management platforms are enabling real-time decision-making• Asia-Pacific is emerging as the fastest-growing smart agriculture market globally The market is also benefiting from increasing government support for digital agriculture, smart farming subsidies, and agritech modernization programs. Venture capital investment in agritech startups is further accelerating innovation in AI-based agricultural platforms and autonomous farming systems. Post-2025, the market is expected to witness stronger adoption of autonomous farming technologies, AI-powered supply chain optimization systems, and climate-smart agriculture platforms. Integration of AI with robotics, edge computing, and advanced analytics will continue to reshape modern farming ecosystems. 📊 For detailed insights and full report access, visit: 👉https://www.pheonixresearch.com/agriculture-agritech/precision-farming/market-report/global-artificial-intelligence-in-agriculture-market/ About Pheonix Research Pheonix Research is a global market intelligence and strategic advisory firm delivering data-driven insights across energy, healthcare, automotive, industrial chemicals, and advanced manufacturing sectors. Through AI-powered forecasting engines and analytical frameworks, Pheonix Research enables organizations to identify growth opportunities and strengthen long-term strategic decision-making. Media Contact Pheonix ResearchEmail: media@pheonixresearch.com Website: www.pheonixresearch.com