AI in Agriculture Market Size - By Component (Solution, Service), By Application (Crop and Soil Monitoring, Livestock Health Monitoring, Intelligent Spraying, Precision Farming, Industrial Robot, Weather Data and Forecast), Technology & Forecast, 2023 - 2032

AI in Agriculture Industry Analysis

AI in Agriculture Market size was valued at USD 1.5 billion in 2022 and is anticipated to demonstrate a CAGR of over 20% between 2023 and 2032. The market growth is attributed to the increasing need for robots in agriculture coupled with the increased consumer demand and a growing need for greater crop yields.
 

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The demand for artificial intelligence in the field has increased due to the agriculture industry's rapid growth. AI in agriculture can be used to map crops, track agricultural production, control irrigation, and examine soil. AI can help farmers use their resources more effectively and efficiently. Crop mapping, soil analysis, pest management, greenhouse management, and animal health care are some of the key uses for these technologies.
 

Furthermore, the AI in agriculture market is driven by an increase in the deployment of cattle facial recognition technology. Dairy farms are now able to individually monitor all behavioral features in a herd of cattle owing to the installation of advanced metrics, such as animal facial recognition programs, image classification, body condition score, and consumption pattern.
 

AI in Agriculture Market Trends

Predictive analytics-based software is being more widely used, which helps the software market grow. The IBM Corporation's Watson Decision Platform, Microsoft's AI Sowing App, and Deere & Company's See and Spray pesticide and herbicide distribution systems are a few notable examples of predictive analytics-based software. These artificial intelligence technologies support farmers in identifying the ideal times to plant crops, spotting crop illnesses, keeping track of crop yields, and calculating the necessary quantities of land, fertilizer, water, and pesticides. The benefits of AI-enabled software for future application areas, such as drone analytics and precision farming, further fuels the expansion of the software market for AI in agriculture.
 

AI in Agriculture Technology Segmentation

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The AI in agriculture market from machine learning segment will record over 20% growth rate and is expected to hold share of 35% by 2032. The rising use of cutting-edge, revolutionary technologies by farmers in the agricultural sector is driving the expansion. Additionally, it is anticipated that the use of machine learning technology by farmers globally will boost market growth. Through the analysis of real-time data on weather, temperature, crop status, and other factors, machine learning helps farmers and agricultural enterprises make better decisions. These capabilities of machine learning will encourage the growth of artificial intelligence (Al) in the agricultural industry. The rapid rise is also attributable to the fact that farmers employ loT devices to map farms and manage irrigation systems.
 

AI in Agriculture Application Segmentation

 

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The AI in agriculture market from agricultural robot segment is projected to grow at 20% CAGR during the forecasted time-period. The use of agricultural robots to perform jobs that are challenging or risky for humans is growing. The utilization of these robots is possible for activities including agricultural mapping, weed elimination, and crop harvesting. Farmers can save labor expenses while increasing efficiency and production by using agricultural robots. Agricultural robots can also lessen the possibility of human error and increase job safety.
 

AI in Agriculture Reginal Analysis

The North American artificial intelligence in agriculture market is expected to reach USD 5 billion by 2032. The region has a well-developed infrastructure and is home to some of the most prominent companies in the world that are making significant investments in AI-related research and development. Additionally, government programs like precision farming are promoting the expansion of this market in North America. The increased presence of several agricultural technology companies looking into AI-based solutions, such as Microsoft, Deere & Company, Granular, Inc., IBM Corporation, and The Climate Corporation, is also beneficial to the market.
 

AI in Agriculture Industry Players

Major companies operating in the AI in agriculture market include Microsoft Corporation, IBM Corporation, Corteva Agriscience, aWhere inc., (Prospera Technologies) Valmont Industries, Inc, PrecisionHawk Inc, (Cainthus Corp) Ever.Ag, Tule, Vineview, Taranis, Descartes Labs, Inc., Deere & Company, Climate LLC (The Climate Corporation).
 

Companies have adopted partnership, acquisition & business expansion strategies to expand their geographic footprint and improve their technological products. For instance, in February 2022, Sway AI, a provider of cutting-edge no-code AI technologies and services, announced today a collaboration with Trilogy Networks to join the Rural Cloud Initiative (RCI), a unique coalition of network and edge innovation partners dedicated to promoting and accelerating rural America's digital transformation. Through this collaboration, they will provide farmers with a comprehensive AI-enabled precision agriculture solution.
 

The AI in agriculture market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue in USD million from 2018 to 2032 for the following segments:

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Market, By Component

• Solutions
• Services

Market, By Technology

• Machine Learning
• Computer Vision
• Predictive analysis

Market, By Application

• Crop and soil monitoring
• Livestock health monitoring
• Intelligent spraying
• Precision farming
• Industrial robot
• Weather data and forecast
• Others

The above information has been provided for the following regions and countries:

• North America
  • U.S.
  • Canada
• Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Singapore
  • ANZ
• Latin America
  • Brazil
  • Mexico
• MEA
  • GCC
  • South Africa