AI in Poultry Disease Identification Market Size, Share & Trends Analysis Distribution by Deployment Mode (Cloud-Based and On-Premise), Type (Software, Hardware, and Services), Technology (Natural Language Processing (NLP), Machine Learning, Predictive Analytics, and Computer Vision), Poultry Type (Ducks, Breeders, Broilers, Layers, and Turkeys), Application (Disease Detection, Behavior Analysis, Health Monitoring, and Mortality Forecasting), End-user, and Segment Forecasts, 2025-2034

Global AI in Poultry Disease Identification Market Size is valued at US$ 335.5 Mn in 2024 and is predicted to reach US$ 2,081.1 Mn by the year 2034 at an 20.4% CAGR during the forecast period for 2025-2034.

AI is transforming poultry disease detection through smart technologies that spot illnesses early. Computer vision scans for symptoms like nasal discharge or lameness, while audio systems detect sick birds by their coughs. Motion sensors track abnormal behavior like reduced activity or eating changes. These AI tools combine with farm data to predict outbreaks, sending instant alerts to farmers.

AI lowers the need for manual inspections by automating diagnosis, which lowers the possibility of treatment delays or extensive outbreaks. Enhancing flock health, increasing output, and lowering financial losses are the goals of this market. Farmers are more inclined to invest in cutting-edge diagnostic equipment as a result of growing knowledge of the financial effects of poultry diseases, which will enhances the growth of the AI in poultry disease identification market.

Additional factors that have contributed to the steady rise of AI in poultry disease identification business include increased regulatory requirements for disease surveillance, productivity losses from endemic illnesses, and growing concerns about the transfer of zoonotic diseases. Furthermore, the growing demand for poultry around the world emphasizes the importance of maintaining animal health effectively. This will accelerate the growth of the AI in poultry disease identification market during the projection period. Notwithstanding its notable expansion, the industry for AI in poultry disease identification still confronts difficulties. Advanced diagnostic technologies can be expensive, which may discourage small-scale farmers from implementing them. Furthermore, in many areas, a shortage of skilled workers makes implementation difficult.

Competitive Landscape

Some of the Key Players in AI in Poultry Disease Identification Market are:

• XYZ A
• Avian Tech
• AgriAl
• CluckAnalytics
• Al-Poultry Diagnostics
• FarmHealth
• BirdSight
• FarmLogix Al
• AvianIntel
• DeepPoultry
• TechPoultry
• PoultrySense
• DeepFarm Al
• VetAl
• BigPoultry Al
• AvianSense Al
• PoultryAl
• BioAl Poultry
• PoultryHealth Al
• SmartFarm Poultry

Market Segmentation:

The ai in poultry disease identification market is categorized based on several key parameters. By deployment mode, it is divided into cloud-based and on-premise solutions. By type, it encompasses software, hardware, and services. In terms of technology, the market includes natural language processing (NLP), machine learning, predictive analytics, and computer vision. Based on poultry type, it covers ducks, breeders, broilers, layers, and turkeys. By application, it spans disease detection, behavior analysis, health monitoring, and mortality forecasting. Lastly, by end-user, the market is segmented into veterinary clinics, poultry farms, integrators, research institutions, and government & ngos.

By Type, the Hardware Segment is Expected to Drive the AI in Poultry Disease Identification Market

The hardware category will serve as the foundation for data collecting and be essential in enabling AI-based disease identification in poultry farming. To collect reliable behavioral and physiological data, devices like biometric sensors, thermal imaging cameras, and real-time monitoring chips are installed in cages, coops, or even on the birds themselves. These tangible instruments provide early warnings for possible illnesses by converting observable indicators—such as temperature variations, movement patterns, and feeding habits—into useful insights.

Disease Detection Segment by Application is Growing at the Highest Rate in the AI in Poultry Disease Identification Market

The AI in poultry disease identification market was dominated by the disease detection category in 2024. The primary use of AI in poultry health is disease detection, which allows for the real-time identification of infectious diseases before they spread. To identify potential dangers, systems look for trends like increasing lethargy, irregular droppings, or hard breathing. AI guarantees quick reactions by comparing these symptoms to past epidemics and environmental factors, reducing flock losses and treatment expenses.

Regionally, North America Led the AI in Poultry Disease Identification Market

North America dominates the market for AI in poultry disease identification for multiple factors. Modern technical infrastructure, a robust healthcare industry, and a dedication to animal welfare are all found in the area. A result of these features is the rapid adoption of AI technologies in poultry husbandry and veterinary care. Research institutes, government support, and the presence of major AI technology vendors have contributed to accelerating the market's growth.

Furthermore, as the poultry industry grows quickly and disease control becomes a major problem, adoption is increasing across the Asia Pacific. The region's NGOs and municipal governments encourage the use of AI to improve food security and lower livestock losses. Intelligent health monitoring systems are being used in poultry farming throughout the region due to increased awareness and better connectivity.

AI in Poultry Disease Identification Market Report Scope :