Latest News- Generative AI In Agriculture Market: Machine learning is expected to lead the Technology segment during 2025-2029

The Generative AI In Agriculture Market is being driven by Global imperative for enhanced agricultural productivity and sustainability

The Generative AI In Agriculture Market is expected to grow at a CAGR of 29.3% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 1183.3 million. The Generative AI market in Agriculture is witnessing a significant shift towards more personalized, conversational AI systems. Moving beyond standard analytical dashboards, these advanced technologies function as virtual agronomists for farmers. Leveraging the capabilities of cutting-edge foundational models, these systems synthesize extensive farm-specific data, including historical yield maps, soil composition reports, real-time IoT sensor data, multispectral drone imagery, and external factors such as long-term weather forecasts and commodity price fluctuations. This interactive partnership between user and AI fosters dynamic decision-making and enhances overall agricultural productivity. 

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Which Factors Are Causing a Surge in Market Growth?

The market is segmented based on

• Technology
  • Machine learning
  • Deep learning
  • Computer vision
  • Natural language processing
  • Robotics
• Application
  • Precision farming
  • Agricultural robotics and automation
  • Crop management
  • Livestock management
  • Soil analysis
• Deployment
  • Cloud based
  • On premises
  • Hybrid
• Geography
  • North America
    • Canada
    • US
  • APAC
    • China
    • India
    • Japan
    • South Korea
  • Europe
    • Germany
    • UK
    • France
  • South America
    • Brazil
  • Middle East and Africa

According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows: 

• Global imperative for enhanced agricultural productivity and sustainability
• Rapid advancements and increasing accessibility of foundational AI models
• Addressing critical labor shortages through intelligent automation and robotics

However, the market also witnesses some limitations, which are as follows:

• Data scarcity, quality, and contextualization
• Model reliability, trust deficit, and liability ambiguity
• High implementation costs, unclear return on investment, and digital divide

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Market Scope in Generative AI In Agriculture Market Research Report

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Research Analysis Overview

The Generative AI market in Agriculture is witnessing significant growth due to the integration of advanced technologies such as farm automation systems, image processing techniques, data fusion algorithms, and deep learning applications. These technologies enable real-time data processing, geospatial data analysis, and climate change adaptation through soil moisture monitoring, crop growth monitoring, and precision livestock farming. Additionally, smart livestock management, optimized fertilizer application, pest control strategies, and water resource management contribute to agricultural sustainability and food safety traceability. Agricultural robotics and natural resource management are also key areas of focus, with applications in climate-smart agriculture and regenerative farming practices. Overall, Generative AI is revolutionizing agriculture by improving feed efficiency, livestock health monitoring, livestock disease prediction, and enhancing the agricultural supply chain.

Market Research Overview

In the dynamic landscape of the global IT software industry, the application software segment holds significant potential for innovation and growth. With a focus on precision agriculture, companies are leveraging AI technologies to enhance crop yield prediction, optimize robotic harvesting, and implement AI-powered irrigation systems. These solutions contribute to the application software market, which encompasses businesses developing specialized software for agriculture, excluding those producing database management software or interactive home entertainment software. According to Technavio, the global application software market size is determined by the consolidated revenue of these companies.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.

Technavio Research
Jesse Maida
Media & Marketing Executive
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Email: media@technavio.com
Website: www.technavio.com/