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Artificial intelligence in agriculture market to reach $2.9 billion by 2025

Artificial intelligence (AI) solutions in the agricultural practices are emerging in various forms, such as soil and crop monitoring, agricultural robots and predictive analytics


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The global artificial intelligence in agriculture market size is expected to reach USD 2.9 billion by 2025, according to a new report by Grand View Research, Inc. The market is anticipated to register a CAGR of 25.4 percent from 2019 to 2025. Artificial intelligence (AI) solutions in the agricultural practices are emerging in various forms, such as soil and crop monitoring, agricultural robots and predictive analytics. Farmers and agribusiness corporations are increasingly using soil sampling and artificial intelligence-enabled sensors for data gathering for better analysis and processing. The availability of these processed data has paved the way for the deployment of artificial intelligence in agriculture sector.

Rapidly increasing global population is one of the key factors driving the need for artificial intelligence in agriculture. According to the United Nations’ estimates, the global population is expected to reach 9.8 billion by 2050. Subsequently, food production must increase significantly as well. Artificial intelligence enables efficient and potential farming techniques for increased crop productivity and yield. For instance, the artificial intelligence Sowing App developed by Microsoft sends sowing advisories on the optimal date for crop sowing to farmers. It enhances the farmers' efficiency in terms of planting and forecasting weather conditions.

The Asia Pacific market is expected to witness substantial growth over the forecast period, owing to increasing adoption of artificial intelligence -enabled solutions and services by agriculture-technology-based companies in emerging economies. Emerging economies such as India and China have started implementing artificial intelligence technologies such as machine learning and computer vision to increase crop yield. Favourable regulations and standards in these countries encourage the implementation of modern techniques in farming. For instance, in July 2019, the Government of India began the use of artificial intelligence for yield estimation and crop cutting to cut down the cost of farming and increasing productivity.

Key trends:

  • Surge in the deployment of predictive analytics solutions in the farming and agriculture industry has created massive potential for artificial intelligence solutions in the agricultural industry
  • Several benefits of artificial intelligence, such as prevention of cost overruns, weather forecasting, remote monitoring, weed detection, and irrigation management encourage the implementation of artificial intelligence in agriculture for increased productivity
  • Market players are focusing on providing advanced artificial intelligence and big data in the agricultural practices, which offers advanced features such as crop scouting, field mapping, and yield monitoring
  • Key market players are considering partnerships and acquisitions of start-ups providing innovative products to expand their range of artificial intelligence solutions for the agricultural industry
  • Key competitors in the market are IBM Corporation; Microsoft; Deere & Company; AgEagle Aerial Systems Inc.; The Climate Corporation; Granular, Inc.; Descartes Labs, Inc.; Prospera Technologies; Taranis; aWhere Inc.; GAMAYA; ec2ce; PrecisionHawk; VineView; and Tule Technologies Inc.; among others.
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