The Growth Of The AI In Precision Farming Market Is Being Propelled By The Limited Availability Of Arable Land: A Significant Driver Propelling The AI In Precision Farming Market In 2025

The AI In Precision Farming Market Report by The Business Research Company delivers a detailed market assessment, covering size projections from 2025 to 2034. This report explores crucial market trends, major drivers and market segmentation by [key segment categories].

What Is the AI In Precision Farming Market Size and Projected Growth Rate?
In recent times, the market size for AI in precision farming has seen an aggressive growth. It is anticipated to expand from $0.78 billion in 2024 to $0.94 billion in 2025, with a compound annual growth rate (CAGR) of 20.3%. The phenomenal growth during the historical period is ascribed to several factors such as the advancement in AI algorithms, surging food production demands, cost curtailment, ecological sustainability, and state aid and subsidies.

The market size of AI in precision farming is projected to witness a significant increase in the upcoming years, reaching $1.95 billion by 2029 with a compound annual growth rate (CAGR) of 20.0%. The anticipated growth within this forecast period can be linked to factors such as the utilization of IoT devices, heightened environmental issues, increased demand for sustainable farming practices, a transition towards intelligent farming systems, and the need for quality control and traceability. Some of the noteworthy trends expected in this timeframe include the incorporation of robotics, applications for crop scrutiny, the use of AI in enhancing supply chain efficiency, technology-based precision irrigation systems, and the introduction of decision-support systems.

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What Are the Major Segments in the AI In Precision Farming Market?
The AI in precision farming market covered in this report is segmented -

1) By Type: Machine Learning, Computer Vision, Other Types
2) By Offering: Hardware, Software, AI-as-a-Service, Service
3) By Application: Experimental Study, Farm Management, Private Planting, Other Applications

Subsegments:
1) By Machine Learning: Predictive Analytics For Crop Yields, Soil Quality Monitoring, Pest And Disease Detection, Crop Growth Prediction
2) By Computer Vision: Crop And Weed Identification, Field Monitoring Through Drones, Crop Damage Detection, Automated Harvesting Systems
3) By Other Types: Robotics In Farming, Natural Language Processing (NLP) For Farm Data Analysis, AI-Powered Irrigation Systems

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What Are The Driving AI In Precision Farming Market Evolution?
The constrained supply of land suitable for agriculture is anticipated to spur the augmentation of the AI in precision farming market. Terrains apt for cultivation, otherwise known as arable lands, are scarce due to multiple reasons like urban growth, earth degradation, and pressures from changing climates. AI in precision farming assists in minimizing these issues by maximizing resource utilization and boosting crop yield with the use of data-led decisions and specific interventions. In point of fact, the United States Department of Agriculture stated in August 2022 that the average farm real estate value in the US hit $3,800 per acre in 2022, denoting an upswing of $420 per acre or 12.4 percent compared to 2021. Moreover, the usual cropland worth was recorded as $5,050 per acre, indicating a surge of $630 per acre or 14.3 percent from the prior year. Thus, the scarcity of arable lands operates as a driving force for the growth of the AI in precision farming market.

Which Firms Dominate The AI In Precision Farming Market Segments?
Major companies operating in the AI in precision farming market report are Microsoft Corporation; Robert Bosch GmbH; Intel Corporation; International Business Machines Corporation; Bayer AG; Deere & Company; SAP SE; Yara International ASA; DTN LLC; FarmWise Labs Inc.; Taranis Visual Ltd.; Blue River Technology Inc.; Agworld Inc.; Ceres Imaging Inc.; PrecisionHawk Inc.; FarmLogs Inc.; Prospera Technologies Ltd.; Arable Labs Inc.; Agribotix LLC; Resson Aerospace Corporation

What Trends Are Expected to Dominate the AI In Precision Farming Market in the Next 5 Years?
Leading enterprises engaging in AI within the precision farming market are strategizing alliances to secure a leading spot in the market. Such collaborations are pivotal in promoting AI use in precision agriculture, utilizing the capacities and assets of various firms to create innovative solutions, expand usage, and tackle major agricultural challenges. For example, in March 2022, Sway AI, an American firm specializing in no-code artificial intelligence applications, formed a partnership with Trilogy Networks, an American agricultural tech firm, to facilitate AI technology in precision farming. Through this coalition, Sway AI became a part of the Rural Cloud Initiative (RCI), a group focusing on network and edge innovation, committed to assisting and accelerating the digital evolution of rural America. This partnership is set to deliver an extensive AI-assisted precision agriculture solution for farmers. To tackle the growing industry problem of data fragmentation, Sway AI and Trilogy Networks collaborated to merge data and enhance decision-making across the entire production procedure.

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Which Is The Largest Region In The AI In Precision Farming Market?
North America was the largest region in the AI in precision farming market in 2024. Europe is expected to be the fastest-growing region in the forecast period. The regions covered in the AI in precision farming market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the AI In Precision Farming Market?
2. What is the CAGR expected in the AI In Precision Farming Market?
3. What Are the Key Innovations Transforming the AI In Precision Farming Industry?
4. Which Region Is Leading the AI In Precision Farming Market?

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