Artificial Intelligence (AI) In Animal Health Market Insights 2025-2034: Growth Dynamics, Trends, and Strategic Opportunities
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What are the Key Projections for the CAGR of the Artificial Intelligence (AI) In Animal Health Market From 2025 to 2034?
In recent years, there has been substantial growth in the market size of artificial intelligence (AI) in animal health. It is expected to expand from $1.45 billion in 2024 to $1.74 billion in 2025, projecting a compound annual growth rate (CAGR) of 19.8%. Factors such as the escalating utilization of AI, the availability of AI-oriented solutions, strategic actions by leading businesses, rising expenses on animals, and the incorporation of AI into veterinary diagnostics have contributed to the growth witnessed during the historic period.
Anticipated to witness swift expansion in the forthcoming years, the artificial intelligence (AI) in animal health market is projected to reach a value of $3.57 billion by 2029, resulting in a compound annual growth rate (CAGR) of 19.7%. This growth over the forecast period is likely to be fueled by accurate livestock and veterinary healthcare management, insights driven by data, pioneering solutions, remote supervision and diagnostics, early detection of diseases and identification of anomalies, as well as preemptive healthcare and customized medicine. The estimated period also foresees trends like advancements in veterinary diagnostics, a rise in the adoption of AI technologies, improved disease detection and monitoring processes, along with increased focus on animal welfare and preservation.
What Industry-Specific Factors Are Fueling the Growth of the artificial intelligence (ai) in animal health Market?
The surge in expenses related to animal health is anticipated to boost the progress of the artificial intelligence (AI) in the animal health market. Money spent on animal health means the collective sum spent on ensuring and enhancing animals’ health and welfare. The rise in this spending is due to heightened awareness, the increasing tendency to humanize pets, and the need for top-tier veterinary care services. This includes groundbreaking technologies such as AI. Pet owners with more disposable income can avail themselves of AI-enhanced telehealth services and remote monitoring solutions, which offer round-the-clock observation of their pets’ health and virtual appointments with vets. For example, in June 2023, the American Pet Products Association, a trade association that represents the pet industry in the U.S, reported that Americans spent $136.8 billion on pet health in 2022. This represents a 10.68% increase from 2021, when the figure was $123.6 billion. Vet Care services alone accounted for $35.9 billion. Consequently, the rise in animal health expenditure is fuelling the expansion of the artificial intelligence (AI) in the animal health market.
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What Are the Key Industry Players Leading the Charge in the Artificial Intelligence (AI) In Animal Health Market’s Growth?
Major companies operating in the artificial intelligence (AI) in animal health market are:
• Microsoft Corporation_x000D_
• International Business Machines Corporation_x000D_
• Zoetis Inc._x000D_
• VCA Animal Hospitals Inc._x000D_
• IVC Evidensia_x000D_
How Are Market Trends and Shifts Impacting the Growth Trajectory of the Artificial Intelligence (AI) In Animal Health Market?
Key corporations in the AI animal health market, such as those focused on livestock nutrition and farm management, are innovating with advanced technologies. These include AI solutions designed to optimize cattle feed based on individual or collective needs. Details such as age, weight, health condition, and dietary needs are taken into account. An example of this progression happened in 2024 when Precision Livestock Technologies, an American firm offering hardware and software solutions for livestock health and feeding, launched an AI-powered system for predicting and advising on cattle feed intake. By analyzing a plethora of data points from both the company’s proprietary bunk management system and other external sources, the system is capable of generating daily quantitative feeding forecasts. Factors such as feeding rates, timings, cycles, cattle behavior, type of feed, weather conditions, and more, are carefully considered by this predictive tool.
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What Are the Core Categories and Segments in the Artificial Intelligence (AI) In Animal Health Market Driving Demand and Growth?
The artificial intelligence (AI) in animal health market covered in this report is segmented –
1) By Solution: Hardware, Software And Services
2) By Technology: Machine Learning, Natural Language Processing (NLP), Computer Vision, Other Technologies
3) By Animal Type: Companion Animals, Production Animals
4) By Application: Diagnostics, Identification, Tracking, And Monitoring, Other Applications
5) By End-Use: Veterinary Clinics And Hospitals, Research Institutions, Farms And Livestock Producers
Subsegments:
1) By Hardware: Diagnostic Devices, Wearable Health Monitoring Devices, Automated Feeding Systems
2) By Software And Services: AI-Powered Diagnostic Tools, Predictive Analytics Software, Health Management Platforms, Consulting Services, Implementation And Integration Services, Maintenance And Support Services, Training And Educational Programs
What Regions Are Influencing the Dynamics of the Artificial Intelligence (AI) In Animal Health Market?
North America was the largest region in the artificial intelligence (AI) in animal health market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in animal health market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
How Is the Scope and Reach of the Artificial Intelligence (AI) In Animal Health Market Defined?
Artificial intelligence (AI) in animal health refers to the application of advanced computational techniques to analyze, interpret, and improve various aspects of animal healthcare. This involves the use of algorithms, machine learning, and data analytics to process large sets of data related to animal health and well-being.
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