The Applied AI In Agriculture Market is being driven by Increasing global food demand and need for enhanced farm productivity
The Applied AI In Agriculture Market is expected to grow at a CAGR of 20.4% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 2313.1 million. The global applied AI in agriculture market is witnessing a significant shift from precision agriculture to hyper-automation and fully autonomous farming systems. This trend signifies a transformative transition from AI serving as a decision-making aid to becoming the primary operational force, managing intricate tasks with minimal human intervention. Key factors fueling this transition include persistent agricultural labor shortages, the economic necessity for enhanced operational efficiency, and the technological advancements in robotics, computer vision, and machine learning. In developed agricultural markets like North America and Europe, the dwindling rural workforce and escalating labor costs necessitate automated solutions capable of round-the-clock, uninterrupted operation.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
249 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 20.4% |
Market growth 2025-2029 |
USD 2313.1 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
18.2 |
Key countries |
US, China, Germany, Canada, India, Brazil, UK, France, Australia, and The Netherlands |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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In the realm of Applied AI in Agriculture, innovative technologies such as crop monitoring systems, farm data analytics, and AI-driven insights are revolutionizing modern farming. Precision spraying, autonomous vehicles, and variable rate technology optimize water usage and nutrient application. Soil moisture sensors, yield forecasting, disease detection, and weed management enhance crop health and productivity. Deep learning applications, machine learning models, image recognition technology, and sensor network deployment facilitate data visualization and environmental impact reduction. Farm efficiency improvement and sustainable farming practices are the ultimate goals, with harvest optimization, nutrient deficiency detection, pest control strategies, and water usage optimization all contributing to this end. A cloud-based platform integrates all these advanced technologies to streamline farming operations and promote sustainable agriculture.
The Applied Artificial Intelligence (AI) in Agriculture market is a segment of the global application software industry. It encompasses businesses specializing in precision agriculture techniques, remote sensing imagery, AI-powered irrigation, and farm management software. These companies develop and produce software solutions to enhance agricultural productivity and efficiency. The market size is determined by the consolidated revenue of these businesses, which falls under the application software category in the IT software industry. This sector excludes entities producing interactive home entertainment software or database management software.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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