AI In Precision Farming Market on Track for Strong Growth, Estimated to Grow at 18.2% CAGR Through 2029

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What Is the Expected CAGR for the AI In Precision Farming Market Through 2025?
The market size for AI in precision farming has seen a swift expansion in the past few years. It is projected to rise from a valuation of $0.78 billion in 2024 to $0.94 billion in 2025, with a compound annual growth rate (CAGR) of 19.4%. The uplift during the historical period is credited to the progression of AI algorithms, heightened need for food production, decreased costs, environmental sustainability, and support and subsidies from the government.

What's the Projected Size of the Global AI In Precision Farming Market by 2029?
The market size of AI in precision farming is predicted to experience substantial growth in the coming years, surging to $1.83 billion by 2029 at a CAGR of 18.2%. Factors contributing to growth during the forecast period include the use of IoT devices, growing environmental awareness, heightened demand for sustainable agriculture, a transition to intelligent farming systems, as well as the need for quality and traceability. Anticipated trends during this forecast period encompass the fusion of robotics, instruments for crop surveillance, the application of AI for enhancing supply chain efficiencies, technology-based precision irrigation solutions, and the advancement of decision support systems.

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Top Growth Drivers in the AI In Precision Farming Industry: What's Accelerating the Market?
The scarcity of cultivable land is anticipated to boost the AI in precision farming market's expansion in the future. Cultivable land, also known as arable land, is particularly suited for crop growth. The scarcity of such land is attributed to various causes, including urban expansion, soil deterioration, and the effects of climate change. AI in precision farming tackles these limitations by maximizing resource efficiency and increasing crop output through evidence-based judgements and specific strategies. For example, the United States Department of Agriculture, a US federal agency, reported in August 2022 that the average farm real estate value in the US had risen to $3,800 per acre for 2022. This statistic denotes a $420 per acre, or 12.4 percent, growth compared to 2021. Moreover, the average cropland value was documented at $5,050 per acre, indicating a leap of $630 per acre, or 14.3 percent, from the prior year. As a result, the scarcity of cultivable land is propelling the AI in precision farming market's growth.

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Which Emerging Trends Are Transforming the AI In Precision Farming Market in 2025?
Prominent firms in the AI precision farming industry are engaging in strategic alliances to maintain a competitive advantage in the market. Such collaborations are vital for propelling AI precision farming, as they utilize the combined capabilities and assets of several organizations to devise innovative solutions, scale implementation, and target agriculture's primary hurdles. Case in point, Sway AI, a US artificial intelligence apparatus developer with no coding requirement, allied with Trilogy Networks, a US agri-tech firm, in March 2022. Sway AI's alliance enabled AI implementation in precision farming, leading it to become a part of the Rural Cloud Initiative (RCI), an organization dedicated to promoting and boosting the digital transformation in rural America. This joint venture will lead to the development of a comprehensive AI-enabled precision agriculture solution particularly for farmers. Sway AI and Trilogy Networks' collaboration also aims to solve the escalating industry issue of data fragmentation by integrating information, thereby enhancing decision-making across the entire production chain.

What Are the Main 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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Which Top Companies are Driving Growth in the AI In Precision Farming Market?
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

Which Regions Will Dominate the AI In Precision Farming Market Through 2029?
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.

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