New York, NY -- (SBWire) -- 08/21/2020 --As per a research conducted by P&S Intelligence, the global artificial intelligence (AI) in agriculture market is projected to reach a value of $8,379.5 million in 2030, from $852.2 million in 2019, progressing at a 24.8% CAGR during 2020–2030. A major reason for the growth of the market is the growing populations and increasing disposable income, which is creating high demand for meat, milk, eggs, and wool.

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In order to meet such demands, farmers are making use of AI-driven solutions, including feeding pattern tracking solutions, livestock facial recognition, and image classification. By monitoring animals' hide patterns, facial features, behavior and temperature, and food and water intake, dairy farmers can keep track of the health of their livestock. In addition to this, farmers are also enabled to look for diseases before severe symptoms appear with the AI-based solutions.

The objective of this research includes;

* Historical and the present size of the AI in agriculture market
* Future potential of the market through its forecast for the period 2020– 2030
* Historical and the present size of the market segments and understand their comparative future potential
* Potential of on-demand logistics services, so the market players make informed decisions on the sales of their offerings
* Competitive scenario of various market segments across key countries in several regions for uncovering market opportunities for the stakeholders
* Major players operating in the gene therapy market and their service offerings
* Recent strategic developments by the major players in the market

In terms of type, the service division is predicted to account for the larger share of the AI in agriculture market in 2030. This is due to the fact that the integration of AI solutions needs an extensive technical knowledge and maintenance & training services. On the basis of technology, the machine learning category held in the major share of the market in the past. This is due to the swift utilization of machine learning's combination agronomic of sciences and data technologies for improving the yield. \

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Geographically, North America dominated the AI in agriculture market in the past, which can be ascribed to the early integration of advanced technologies, including machine learning and computer vision, precision farming, livestock monitoring, greenhouse management, and soil management, in the region. In addition to this, the agrarian community is focusing on combining the internet of things technology with computer vision, which is further resulting in the growth of the regional domain.

The research includes detailed analysis of;

Based on Type
-Product
-Service

Based on Technology
-Machine Learning
-Predictive Analytics
-Computer Vision

Based on Application
-Precision Farming
-Agricultural Robots
-Livestock Monitoring
-Drone Analytics

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