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.
Some of the Key Players in AI in Poultry Disease Identification Market are:
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.
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.
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.
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.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 335.5 Mn |
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Revenue Forecast In 2034 |
USD 2,081.1 Bn |
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Growth Rate CAGR |
CAGR of 20.4% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Deployment Mode, By Type, By Technology, By Poultry Type, By Application, By End-user, and By Region |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; Germany; The UK; France; Italy; Spain; Rest of Europe; China; Japan; India; South Korea; Southeast Asia; Rest of Asia Pacific; Brazil; Argentina; Mexico; Rest of Latin America; GCC Countries; South Africa; Rest of the Middle East and Africa |
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Competitive Landscape |
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, and SmartFarm Poultry |
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Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Geographic competitive landscape. |
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Pricing and Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI in Poultry Disease Identification Market Snapshot
Chapter 4. Global AI in Poultry Disease Identification Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2025-2034
4.8. Competitive Landscape & Market Share Analysis, By Key Player (2024)
4.9. Use/impact of AI on AI in Poultry Disease Identification Market Industry Trends
4.10. Global AI in Poultry Disease Identification Market Penetration & Growth Prospect Mapping (US$ Mn), 2024-2034
Chapter 5. AI in Poultry Disease Identification Market Segmentation 1: By Type, Estimates & Trend Analysis
5.1. Market Share by Type, 2024 & 2034
5.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Type:
5.2.1. Hardware
5.2.2. Software
5.2.3. Services
Chapter 6. AI in Poultry Disease Identification Market Segmentation 2: By End-User, Estimates & Trend Analysis
6.1. Market Share by End-User, 2024 & 2034
6.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following End-User:
6.2.1. Poultry Farms
6.2.2. Veterinary Clinics
6.2.3. Research Institutions
6.2.4. Integrators
6.2.5. Government & NGOs
Chapter 7. AI in Poultry Disease Identification Market Segmentation 3: By Application, Estimates & Trend Analysis
7.1. Market Share by Application, 2024 & 2034
7.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Application:
7.2.1. Disease Detection
7.2.2. Health Monitoring
7.2.3. Behavior Analysis
7.2.4. Mortality Forecasting
Chapter 8. AI in Poultry Disease Identification Market Segmentation 4: By Poultry Type, Estimates & Trend Analysis
8.1. Market Share by Poultry Type, 2024 & 2034
8.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Poultry Type:
8.2.1. Broilers
8.2.2. Layers
8.2.3. Breeders
8.2.4. Turkeys
8.2.5. Ducks
Chapter 9. AI in Poultry Disease Identification Market Segmentation 5: By Deployment Mode, Estimates & Trend Analysis
9.1. Market Share by Deployment Mode, 2024 & 2034
9.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Deployment Mode:
9.2.1. Cloud-Based
9.2.2. On-Premise
Chapter 10. AI in Poultry Disease Identification Market Segmentation 6: By Technology, Estimates & Trend Analysis
10.1. Market Share by Technology, 2024 & 2034
10.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Technology:
10.2.1. Machine Learning
10.2.2. Computer Vision
10.2.3. Natural Language Processing (NLP)
10.2.4. Predictive Analytics
Chapter 11. AI in Poultry Disease Identification Market Segmentation 7: Regional Estimates & Trend Analysis
11.1. Global AI in Poultry Disease Identification Market, Regional Snapshot 2024 & 2034
11.2. North America
11.2.1. North America AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
11.2.1.1. US
11.2.1.2. Canada
11.2.2. North America AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
11.2.3. North America AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
11.2.4. North America AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
11.2.5. North America AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Poultry Type, 2021-2034
11.2.6. North America AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.2.7. North America AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
11.3. Europe
11.3.1. Europe AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
11.3.1.1. Germany
11.3.1.2. U.K.
11.3.1.3. France
11.3.1.4. Italy
11.3.1.5. Spain
11.3.1.6. Rest of Europe
11.3.2. Europe AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
11.3.3. Europe AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
11.3.4. Europe AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
11.3.5. Europe AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Poultry Type, 2021-2034
11.3.6. Europe AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.3.7. Europe AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
11.4. Asia Pacific
11.4.1. Asia Pacific AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
11.4.1.1. India
11.4.1.2. China
11.4.1.3. Japan
11.4.1.4. Australia
11.4.1.5. South Korea
11.4.1.6. Hong Kong
11.4.1.7. Southeast Asia
11.4.1.8. Rest of Asia Pacific
11.4.2. Asia Pacific AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
11.4.3. Asia Pacific AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
11.4.4. Asia Pacific AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
11.4.5. Asia Pacific AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Poultry Type, 2021-2034
11.4.6. Asia Pacific AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.4.7. Asia Pacific AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
11.5. Latin America
11.5.1. Latin America AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
11.5.1.1. Brazil
11.5.1.2. Mexico
11.5.1.3. Rest of Latin America
11.5.2. Latin America AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
11.5.3. Latin America AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
11.5.4. Latin America AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
11.5.5. Latin America AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Poultry Type, 2021-2034
11.5.6. Latin America AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.5.7. Latin America AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
11.6. Middle East & Africa
11.6.1. Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
11.6.1.1. GCC Countries
11.6.1.2. Israel
11.6.1.3. South Africa
11.6.1.4. Rest of Middle East and Africa
11.6.2. Middle East & Africa AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
11.6.3. Middle East & Africa AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
11.6.4. Middle East & Africa AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
11.6.5. Middle East & Africa AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Poultry Type, 2021-2034
11.6.6. Middle East & Africa AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.6.7. Middle East & Africa AI in Poultry Disease Identification Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
Chapter 12. Competitive Landscape
12.1. Major Mergers and Acquisitions/Strategic Alliances
12.2. Company Profiles
12.2.1. XYZ AI
12.2.1.1. Business Overview
12.2.1.2. Key Type/Service Overview
12.2.1.3. Financial Performance
12.2.1.4. Geographical Presence
12.2.1.5. Recent Developments with Business Strategy
12.2.2. AvianTech
12.2.3. PoultrySense
12.2.4. DeepFarm AI
12.2.5. AgriAI
12.2.6. FarmHealth
12.2.7. BirdSight
12.2.8. TechPoultry
12.2.9. VetAI
12.2.10. BigPoultry AI
12.2.11. CluckAnalytics
12.2.12. PoultryAI
12.2.13. FarmLogix AI
12.2.14. AvianIntel
12.2.15. DeepPoultry
12.2.16. BioAI Poultry
12.2.17. PoultryHealth AI
12.2.18. SmartFarm Poultry
12.2.19. AI-Poultry Diagnostics
12.2.20. AvianSense AI
Segmentation of AI in Poultry Disease Identification Market -
AI in Poultry Disease Identification Market by Deployment Mode-
AI in Poultry Disease Identification Market by Type -
AI in Poultry Disease Identification Market by Technology-
AI in Poultry Disease Identification Market by Poultry Type-
AI in Poultry Disease Identification Market by Application-
AI in Poultry Disease Identification Market by End-user-
AI in Poultry Disease Identification Market by Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
