Global Artificial Intelligence (AI) in Agriculture Market Trends, Applications, Analysis, Growth, and Forecast: 2018 to 2027

MarketResearch.biz delivers in-depth insights on the global artificial intelligence (AI) in agriculture market in its upcoming report titled, “Global Artificial Intelligence (AI) in Agriculture Market Trends, Applications, Analysis, Growth, and Forecast: 2018 to 2027”. The global artificial intelligence (AI) in agriculture market is estimated to register a CAGR of XX.X% in terms of value during forecast period 2018–2027. The report offers in-depth insights, revenue details, and other vital information regarding the target market, and the various trends, drivers, restraints, opportunities, and threats till 2027. The report offers insightful and detailed information regarding the various key players operating in the market, their financials, supply chain trends, technological innovations, key developments, apart from future strategies, acquisitions & mergers, and market footprint. The global artificial intelligence (AI) in agriculture market is segmented on the basis of component, technology, application, and region.

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Artificial intelligence (AI) is a program based technology, owing to which digital computers and robots can perform real-time tasks by using cognitive human intelligence such as speech recognition, visual perception, decision making etc. AI in agriculture is commonly used for precision farming, crop monitoring, crop analytics, etc.

Major factors driving growth of the global artificial intelligence (AI) in agriculture market is increasing demand for better yield crops, and increasing demand for agricultural products across the globe, owing to increasing population. In addition, rising demand for smart agriculture sensors, information management systems, deep learning techniques, and precision farming are other factors driving growth of the global market. These factors are expected to further drive growth of the global market to a significant extent over the forecast period.

High cost of systems and services is a major factor hampering growth of the global artificial intelligence (AI) in agriculture market. In addition, lack of standards and lack of awareness about use of artificial intelligence in agriculture sector in some underdeveloped and developing countries are other factors restraining growth of the target market.

North America dominates the global artificial intelligence (AI) in agriculture market in terms of revenue contribution and is expected to maintain its dominance over the forecast period. This dominance can be attributed to presence of major vendors, early adoption of artificial intelligence technology, and increasing number of artificial intelligence start-ups in this region. The market in Europe accounts for second position in the target market and is expected to witness moderate growth over the next 10 years.

The market in Asia Pacific is expected to witness highest growth and is expected to register a CAGR of XX.X% over the forecast period. This growth can be attributed to increasing adoption of artificial intelligence solutions and services by farmers in countries such as India, China, and Australia. In addition, collaborations between major vendors and research organizations to provide AI based sowing advisories to farmers is another factor driving growth of the Asia Pacific artificial intelligence (AI) in agriculture market.

Global Artificial Intelligence (AI) in Agriculture Market Segmentation:

Segmentation on the basis of component:

• Hardware
• Software
• Service

 Segmentation on the basis of technology:

• Machine Learning
• Predictive Analytics
• Computer Vision

Segmentation on the basis of application:

• Precision Farming
• Livestock Monitoring
• Agriculture Robots
• Drone Analytics
• Others

 Segmentation on the basis of region:

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa