Global AI in Agriculture market Size, Trends and Future Forecasts To 2026

About AI in Agriculture:

Artificial Intelligence (AI) in agriculture is expected to increase the efficiency of farming operating systems. A rise in demand for advanced agricultural solutions is expected to boost the market growth. Further AI is on the verge of becoming an integral part of farming methods improving the quality of the crops being produced. Deployment of robotics in the field of agriculture has shifted the focus of farmers from traditional practices to adopt the advance farming operating systems integrated with AI technology. This is attributed to driving the AI in the agriculture market during the forecast period 2019–2026. High penetration of Internet of things (IoT) in agriculture sector is expected to boost the market growth positively.

The report on AI in Agriculture Market begins with a brief summary that highlights the market overview, which includes future forecast, and analysis of the whole industry. The report has also offered guidance to the key players in the Artificial Intelligence in Agriculture industry which will help them in planning their strategies. Straits Research report has followed a simple pattern that has helped the readers to understand each segment and obtain significant information related to the overall industry.

The report consists of an introduction of market segments, market definition, and market overview. Straits Research has also included a section for market dynamics that covers drivers, trends, opportunities, and restraints impacting the growth of the industry throughout the forecasts period. One of the sections of the report consists of a detailed study of the market which included historical and present/future market data. Economic growth, GDP (Gross Domestic Product), and inflation are some of the elements included in this report to offer crystal clear picture of the global Ai in Agriculture market at a global level.

Artificial Intelligence in the agriculture market was valued at USD 509.06 million in 2017 and expected to grow at CAGR 19.9% over the forecast period 2019–2026. AI in Agriculture in India is also growing due to the increasing demand for Artificial Intelligence in Agriculture across India.

The AI in Agriculture market is segmented into different sections such as by type, by application, by end-users, and by regions. The report about the global Artificial Intelligence in Agriculture Market covered the markets by analyzing the top players participating in the market. To make this report an exceptional one, several parameters and models are used which include SWOT analysis, Porters five force model, and pestle analysis.

Some of the prominent players in artificial intelligence in agriculture market are Thermo Fisher Scientific Inc. (U.S.), GAMAYA (Switzerland), PrecisionHawk (U.S.), Cainthus Ireland Limited (Ireland), VineView (U.S.), Easytosee Agtech, S.L. (Spain), Vision Robotics Corporation (U.S.), Trace Genomics, Inc. (U.S.), RESSON (Canada), Connecterra (Netherlands), Harvest Croo (U.S.).

Development in technology and innovations have created an educated workforce which ultimately results in increasing per capita income and this particular factor has positively impacted the growth of the AI in Agriculture market since the past few years.

Segmentation of AI in Agriculture Market: By Component, Solution, Hardware, Software, Others, Services, Managed, Professional, By Technology, Machine Learning, Computer Vision, Predictive Analytics,, By Application, Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others,

The competitive landscape of the AI in Agriculture market is a highly crucial section of the report that creates a firm portrait of the market’s key players and their rivalries. A reader can evaluate their position in the market by using this scale of reference, while extensively planning their future movements to counter the movements of the other players in the same areas. This segment provides updated details on companies’ profiles, business strategies, financial statistics, growth rate and the future scenario for the key leading players in the market, along with the ones that indicate the most positive growth rates.

In the end, this report discusses the key drivers influencing the market growth, opportunities, challenges and the risks faced by key players and the AI in Agriculture market as a whole. Additionally, It analyzes the emerging trends and their impact on present and future market statistics and development.

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