Global AI In Agriculture Market Statistics: USD 13.0 Billion Value by 2033

Summary:

• The global AI in agriculture market size reached USD 2.2 Billion in 2024.
• The market is expected to reach USD 13.0 Billion by 2033, exhibiting a growth rate (CAGR) of 19.48% during 2025-2033.
• North America leads the market, accounting for the largest AI in agriculture market share.
• Software holds the majority of the market share in the offering segment because it provides essential tools for data analysis, decision-making, and automation. 
• Machine learning exhibits a clear dominance in the AI in agriculture industry.
• Precision farming remains a dominant segment in the market due to its ability in optimizing inputs like water, fertilizer, and labor.
• The increasing demand for food around the world is a primary driver of the AI in agriculture market.
• Technological advancements and the integration of Internet of Things (IoT) are reshaping the AI in agriculture market.

Industry Trends and Drivers:

• Increasing demand for food production:

The agriculture sector is watching with cautious optimism the development of modern farming technologies because the population of the world is rapidly rising, and thus, higher yields must be achieved while still ensuring sustainability. Artificial intelligence is helping in optimizing crop management with the data-driven insight to boost irrigation, pest control, and soil health monitoring. It is also going to help predict weather patterns, allowing farmers to adapt their farming practices according to changing conditions. AI is being used to respond to this growing food demand in the agriculture sector and is helping reduce wastage, increase efficiency, and improve food security all around the world.

• Cost efficiency and shortage of laborers:

This has meant an inconceivably huge wave of replacement automation in farming and agtech for efficient labor management because of the ridiculously raising labor costs and also because of shortages for it. These technologies are very relevant. They really streamline operations like planting, monitoring, and harvesting. This reduces the need for manual labor. AI also helps to boost productivity further. AI, in brief, collects data for resource management, crop health assessment, and irrigation scheduling. AI automates hard tasks, reduces costs, maximizes productivity, and maintains farm viability amid labor shortages.

• Technological advancements and integration of Internet of Things (IoT):

IoT devices like sensors, drones, and weather stations now give insight into crops, soil, and environmental data in real-time. In turn, AI systems are analyzing this real-time data and giving the farmers valuable insights. That means better, smarter decisions about watering, fertilizing, and pest control. The combination of these technologies makes farming more efficient and sustainable, helping to optimize resources, reduce wastage, and increase yields. AI is also helping to automate tasks and refine methodologies that make agriculture more intelligent and productive.

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AI In Agriculture Market Report Segmentation:

Breakup By Offering:

• Software
• Hardware
• AI-as-a-Service
• Services

Software represents the largest segment because AI software enables a wide range of applications, ranging from crop monitoring to predictive analytics, making it essential for farming operations.

Breakup By Technology:

• Machine Learning
• Computer Vision
• Predictive Analytics

Machine learning accounts for the majority of the market share as it allows for data-driven insights, optimizing farming practices, such as yield prediction, pest management, and soil health analysis.

Breakup By Application:

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

Precision farming exhibits a clear dominance in the market because it enables farmers in optimizing resources, and increasing crop yields through data-driven and technology-based approaches.

Breakup By Region:

• North America (United States, Canada)
• Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, Others)
• Europe (Germany, France, United Kingdom, Italy, Spain, Russia, Others)
• Latin America (Brazil, Mexico, Others)
• Middle East and Africa

North America enjoys the leading position in the AI in agriculture market due to its high adoption of advanced agricultural technologies, robust investments, and government initiatives promoting AI solutions.

Top AI In Agriculture Market Leaders:

The AI in agriculture market research report outlines a detailed analysis of the competitive landscape, offering in-depth profiles of major companies. Some of the key players in the market are:

• A.A.A Taranis Visual Ltd.
• Ag Leader Technology
• AgEagle Aerial Systems Inc.
• Bayer AG
• Deere & Company
• Gamaya
• Granular Inc. (DuPont de Nemours, Inc.)
• International Business Machines Corporation
• Raven Industries Inc.
• Trimble Inc.
• Oracle Corporation
• Wipro Limited

Note: If you need specific information that is not currently within the scope of the report, we will provide it to you as a part of the customization.

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