动物保健市场中的人工智慧 - 全球产业规模、份额、趋势、机会和预测，按解决方案、按阶段、按应用、按类型、按地区和竞争进行细分，2020-2030 年

2024 年全球动物保健人工智慧 (AI) 市场价值为 11.212 亿美元，预计在预测期内将实现强劲成长，到 2030 年的复合年增长率为 11.10%。全球动物保健人工智慧 (AI) 市场已成为兽医和动物保健产业一股充满活力的变革力量。利用尖端技术，人工智慧正在彻底改变动物的诊断、治疗和护理方式，从而改善动物福利、加强疾病管理并提高兽医实践效率。人工智慧技术，包括机器学习、电脑视觉、自然语言处理和预测分析，正在被用来解决动物健康的各种挑战。其中一个重要影响领域是疾病的早期发现和诊断。人工智慧演算法可以分析来自医学影像（例如 X 光和 MRI）以及生物样本的大量资料，以识别可能逃脱人眼观察的细微模式和异常。这种能力使兽医能够在早期阶段发现癌症、关节疾病和感染等疾病，从而促进及时介入并增加成功治疗的机会。

人工智慧驱动的预测分析正在彻底改变动物健康管理。透过分析历史健康资料、遗传资讯和环境因素，人工智慧系统可以对潜在的健康风险和疾病爆发产生洞察和预测。这种积极主动的方法使兽医和动物保健专业人员能够实施预防措施，优化疫苗接种策略，并最大限度地减少动物族群中疾病的传播。远距医疗和远端监控也透过人工智慧的整合得到了显着的推动。借助穿戴式装置和感测器，人工智慧系统可以持续监测动物的生命征象、行为和活动量。这些即时资料可传输给兽医专业人员，使他们能够远端追踪动物的健康状况并在必要时及时介入。这对于牲畜管理尤其有价值，早期发现疾病可以避免经济损失并确保食品供应链的安全。人工智慧在动物健康领域的应用带来了精简和个人化的治疗方案。透过分析个别动物的特征、病史和治疗结果，人工智慧演算法可以帮助兽医制定针对每位患者优化的治疗方案。这种程度的客製化不仅提高了治疗效果，而且还最大限度地减少了副作用并降低了动物主人的医疗保健成本。然而，在带来巨大前景的同时，动物保健市场中的人工智慧也面临着一定的挑战。资料隐私和安全问题以及对强大而多样化的资料集的需求都是关键的考虑因素。此外，将人工智慧技术融入现有的兽医实践需要对兽医和动物保健专业人员进行适当的培训和教育，以确保有效利用和获得最佳结果。

主要市场驱动因素

宠物拥有量和兽医护理需求增加

主要市场挑战

资料隐私和安全问题

主要市场趋势

人工智慧在诊断成像中的整合

目录

第 1 章：产品概述

第二章：研究方法

第三章：执行摘要

第四章：顾客之声

第五章：人工智慧（AI）在动物保健领域的市场展望

• 市场规模和预测
  • 按价值
• 市场占有率和预测
  • 按解决方案（硬体、软体和服务）
  • 依阶段（第一阶段、第二阶段、第三阶段、第四阶段）
  • 按应用程式（诊断、识别、追踪、监控、其他）
  • 依类型（伴侣动物、生产动物）
  • 按地区
  • 按公司分类（2024）
• 市场地图

第六章：北美人工智慧（AI）动物保健市场展望

• 市场规模和预测
• 市场占有率和预测
• 北美：国家分析
  • 加拿大
  • 墨西哥

第七章：欧洲动物保健人工智慧（AI）市场展望

• 市场规模和预测
• 市场占有率和预测
• 欧洲：国家分析
  • 英国
  • 义大利
  • 法国
  • 西班牙

第八章：亚太地区动物保健人工智慧（AI）市场展望

• 市场规模和预测
• 市场占有率和预测
• 亚太地区：国家分析
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：南美人工智慧（AI）动物保健市场展望

• 市场规模和预测
• 市场占有率和预测
• 南美洲：国家分析
  • 阿根廷
  • 哥伦比亚

第 10 章：中东和非洲动物保健领域人工智慧 (AI) 市场展望

• 市场规模和预测
• 市场占有率和预测
• MEA：国家分析
  • 沙乌地阿拉伯
  • 阿联酋

第 11 章：市场动态

• 驱动程式
• 挑战

第 12 章：市场趋势与发展

• 最新动态
• 产品发布
• 合併与收购

第 13 章：全球动物保健人工智慧 (AI) 市场：SWOT 分析

第 14 章：竞争格局

• Zoetis Services LLC
• Merck & Co., Inc.
• Laboratory Corporation of America Holdings
• Heska Corporation
• SignalPET
• VetCT
• Vetology LLC.
• OneCup AI
• Petriage
• ImpriMed, Inc.

第 15 章：策略建议

第16章调查会社について・免责事项

Global Artificial Intelligence (AI) In Animal Health Market was valued at USD 1121.20 Million in 2024 and is anticipated to project robust growth in the forecast period with a CAGR of 11.10% through 2030. The global Artificial Intelligence (AI) in Animal Health market has emerged as a dynamic and transformative force within the veterinary and animal healthcare industry. Leveraging cutting-edge technologies, AI is revolutionizing the way animals are diagnosed, treated, and cared for, leading to improved animal welfare, enhanced disease management, and more efficient veterinary practices. AI technologies, including machine learning, computer vision, natural language processing, and predictive analytics, are being harnessed to address various challenges in animal health. One of the significant areas of impact is in the early detection and diagnosis of diseases. AI algorithms can analyze vast amounts of data from medical images, such as X-rays and MRIs, as well as biological samples, to identify subtle patterns and anomalies that might escape the human eye. This capability enables veterinarians to detect diseases like cancer, joint disorders, and infections at earlier stages, facilitating prompt intervention and increasing the chances of successful treatment.

AI-driven predictive analytics are revolutionizing animal health management. By analyzing historical health data, genetic information, and environmental factors, AI systems can generate insights and forecasts about potential health risks and disease outbreaks. This proactive approach allows veterinarians and animal health professionals to implement preventive measures, optimize vaccination strategies, and minimize the spread of diseases within animal populations. Telemedicine and remote monitoring have also witnessed a significant boost through AI integration. With the help of wearable devices and sensors, AI-powered systems can continuously monitor animals' vital signs, behavior, and activity levels. This real-time data can be transmitted to veterinary professionals, enabling them to remotely track an animal's health status and provide timely interventions when necessary. This is particularly valuable for livestock management, where the early detection of illnesses can prevent economic losses and ensure the safety of the food supply chain. The adoption of AI in animal health has led to streamlined and personalized treatment plans. By analyzing individual animal characteristics, medical history, and treatment outcomes, AI algorithms can assist veterinarians in tailoring treatment protocols that are optimized for each patient. This level of customization not only improves the efficacy of treatments but also minimizes adverse effects and reduces healthcare costs for animal owners. However, along with its promises, the AI in Animal Health market also faces certain challenges. Data privacy and security concerns, as well as the need for robust and diverse datasets, are critical considerations. Additionally, the integration of AI technologies into established veterinary practices requires proper training and education for veterinarians and animal health professionals to ensure effective utilization and optimal outcomes.

Key Market Drivers

Increasing Pet Ownership and Demand for Veterinary Care

The global artificial intelligence (AI) in animal health market is experiencing significant expansion, largely fueled by rising pet ownership and the growing demand for advanced veterinary care. A significant 71% of adults residing in rural areas own at least one pet, highlighting the strong prevalence of pet ownership in these regions. Additionally, rural residents are more likely to have multiple pets, with 47% owning more than one. In comparison, 32% of suburban residents and 26% of urban dwellers have multiple pets, indicating a higher concentration of pet ownership in rural communities. As more households' welcome pets, the need for efficient, cost-effective, and technology-driven veterinary solutions is increasing. AI is playing a transformative role in enhancing pet healthcare services, from early disease detection to personalized treatment plans.

Key Market Challenges

Data Privacy and Security Concerns

Data privacy and security concerns are significant challenges in the global Artificial Intelligence (AI) in Animal Health market, as the integration of AI technologies into veterinary practices requires the handling of sensitive and personal animal health data. These concerns revolve around the protection of confidential information, prevention of unauthorized access, and the ethical use of data to ensure that the benefits of AI are realized without compromising privacy and security. In the AI-driven Animal Health Market, vast amounts of data are collected from various sources, including electronic health records, medical images, genetic information, and sensor data from wearable devices. This data is used to train AI algorithms and generate insights for early disease detection, predictive analytics, and personalized treatment plans. However, the potential risks associated with data privacy and security must be carefully managed. One primary concern is the risk of data breaches and unauthorized access. Veterinary clinics, research institutions, and other stakeholders collect and store sensitive information about animals, their health conditions, and genetic profiles.

Key Market Trends

Integration of AI in Diagnostic Imaging

The integration of AI in diagnostic imaging within the global Artificial Intelligence (AI) in Animal Health Market refers to the application of AI technologies to enhance the accuracy, efficiency, and interpretation of medical images used in veterinary diagnosis and treatment. AI algorithms are employed to analyze and process various types of diagnostic images, such as X-rays, MRIs, CT scans, and ultrasounds, with the aim of aiding veterinarians in identifying abnormalities, diseases, and conditions in animals. AI's role in diagnostic imaging involves pattern recognition, anomaly detection, and image segmentation. By learning from vast datasets, AI algorithms can pinpoint subtle details and deviations that may go unnoticed by the human eye. This technology can assist veterinarians in making more informed and timely diagnoses, leading to improved treatment planning and better outcomes for animals. The integration of AI in diagnostic imaging holds the potential to revolutionize veterinary care by reducing human error, accelerating the diagnostic process, and enhancing the overall quality of medical imaging analysis. It can also enable veterinarians to focus on complex cases and critical decisions, while routine tasks are automated by AI algorithms. Overall, the integration of AI in diagnostic imaging represents a significant advancement in the AI in Animal Health Market, contributing to the advancement of veterinary medicine and providing a valuable tool for accurate and efficient diagnosis and treatment of animals.

Key Market Players

Zoetis Services LLC

Merck & Co., Inc.

Laboratory Corporation of America Holdings

Heska Corporation

SignalPET

VetCT

Vetology LLC.

OneCup AI

Petriage

ImpriMed, Inc.

Report Scope:

In this report, the Global Artificial Intelligence (AI) In Animal Health Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Artificial Intelligence (AI) In Animal Health Market, By Solution:

• Hardware
• Software & Services

Artificial Intelligence (AI) In Animal Health Market, By Phase:

• Phase I
• Phase II
• Phase III
• Phase IV

Artificial Intelligence (AI) In Animal Health Market, By Application:

• Diagnostics
• Identification
• Tracking
• Monitoring
• Others

Artificial Intelligence (AI) In Animal Health Market, By Type:

• Companion Animals
• Production Animals

Artificial Intelligence (AI) In Animal Health Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Artificial Intelligence (AI) In Animal Health Market.

Available Customizations:

Global Artificial Intelligence (AI) In Animal Health Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Artificial Intelligence (AI) In Animal Health Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Solutions (Hardware, Software & Services)
  • 5.2.2. By Phase (Phase I, Phase II, Phase III, Phase IV)
  • 5.2.3. By Application (Diagnostics, Identification, Tracking, Monitoring, Others)
  • 5.2.4. By Type (Companion Animals, Production Animals)
  • 5.2.5. By Region
  • 5.2.6. By Company (2024)
• 5.3. Market Map

6. North America Artificial Intelligence (AI) In Animal Health Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Solution
  • 6.2.2. By Phase
  • 6.2.3. By Application
  • 6.2.4. By Type
  • 6.2.5. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Artificial Intelligence (AI) In Animal Health Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Solution
      • 6.3.1.2.2. By Phase
      • 6.3.1.2.3. By Application
      • 6.3.1.2.4. By Type
  • 6.3.2. Canada Artificial Intelligence (AI) In Animal Health Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Solution
      • 6.3.2.2.2. By Phase
      • 6.3.2.2.3. By Application
      • 6.3.2.2.4. By Type
  • 6.3.3. Mexico Artificial Intelligence (AI) In Animal Health Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Solution
      • 6.3.3.2.2. By Phase
      • 6.3.3.2.3. By Application
      • 6.3.3.2.4. By Type

7. Europe Artificial Intelligence (AI) In Animal Health Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Solution
  • 7.2.2. By Phase
  • 7.2.3. By Application
  • 7.2.4. By Type
  • 7.2.5. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Artificial Intelligence (AI) In Animal Health Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Solution
      • 7.3.1.2.2. By Phase
      • 7.3.1.2.3. By Application
      • 7.3.1.2.4. By Type
  • 7.3.2. United Kingdom Artificial Intelligence (AI) In Animal Health Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Solution
      • 7.3.2.2.2. By Phase
      • 7.3.2.2.3. By Application
      • 7.3.2.2.4. By Type
  • 7.3.3. Italy Artificial Intelligence (AI) In Animal Health Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Solution
      • 7.3.3.2.2. By Phase
      • 7.3.3.2.3. By Application
      • 7.3.3.2.4. By Type
  • 7.3.4. France Artificial Intelligence (AI) In Animal Health Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Solution
      • 7.3.4.2.2. By Phase
      • 7.3.4.2.3. By Application
      • 7.3.4.2.4. By Type
  • 7.3.5. Spain Artificial Intelligence (AI) In Animal Health Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Solution
      • 7.3.5.2.2. By Phase
      • 7.3.5.2.3. By Application
      • 7.3.5.2.4. By Type

8. Asia-Pacific Artificial Intelligence (AI) In Animal Health Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Solution
  • 8.2.2. By Phase
  • 8.2.3. By Application
  • 8.2.4. By Type
  • 8.2.5. By Country
• 8.3. Asia-Pacific: Country Analysis
  • 8.3.1. China Artificial Intelligence (AI) In Animal Health Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Solution
      • 8.3.1.2.2. By Phase
      • 8.3.1.2.3. By Application
      • 8.3.1.2.4. By Type
  • 8.3.2. India Artificial Intelligence (AI) In Animal Health Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Solution
      • 8.3.2.2.2. By Phase
      • 8.3.2.2.3. By Application
      • 8.3.2.2.4. By Type
  • 8.3.3. Japan Artificial Intelligence (AI) In Animal Health Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Solution
      • 8.3.3.2.2. By Phase
      • 8.3.3.2.3. By Application
      • 8.3.3.2.4. By Type
  • 8.3.4. South Korea Artificial Intelligence (AI) In Animal Health Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Solution
      • 8.3.4.2.2. By Phase
      • 8.3.4.2.3. By Application
      • 8.3.4.2.4. By Type
  • 8.3.5. Australia Artificial Intelligence (AI) In Animal Health Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Solution
      • 8.3.5.2.2. By Phase
      • 8.3.5.2.3. By Application
      • 8.3.5.2.4. By Type

9. South America Artificial Intelligence (AI) In Animal Health Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Solution
  • 9.2.2. By Phase
  • 9.2.3. By Application
  • 9.2.4. By Type
  • 9.2.5. By Country
• 9.3. South America: Country Analysis
  • 9.3.1. Brazil Artificial Intelligence (AI) In Animal Health Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Solution
      • 9.3.1.2.2. By Phase
      • 9.3.1.2.3. By Application
      • 9.3.1.2.4. By Type
  • 9.3.2. Argentina Artificial Intelligence (AI) In Animal Health Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Solution
      • 9.3.2.2.2. By Phase
      • 9.3.2.2.3. By Application
      • 9.3.2.2.4. By Type
  • 9.3.3. Colombia Artificial Intelligence (AI) In Animal Health Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Solution
      • 9.3.3.2.2. By Phase
      • 9.3.3.2.3. By Application
      • 9.3.3.2.4. By Type

10. Middle East and Africa Artificial Intelligence (AI) In Animal Health Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Solution
  • 10.2.2. By Phase
  • 10.2.3. By Application
  • 10.2.4. By Type
  • 10.2.5. By Country
• 10.3. MEA: Country Analysis
  • 10.3.1. South Africa Artificial Intelligence (AI) In Animal Health Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Solution
      • 10.3.1.2.2. By Phase
      • 10.3.1.2.3. By Application
      • 10.3.1.2.4. By Type
  • 10.3.2. Saudi Arabia Artificial Intelligence (AI) In Animal Health Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Solution
      • 10.3.2.2.2. By Phase
      • 10.3.2.2.3. By Application
      • 10.3.2.2.4. By Type
  • 10.3.3. UAE Artificial Intelligence (AI) In Animal Health Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Solution
      • 10.3.3.2.2. By Phase
      • 10.3.3.2.3. By Application
      • 10.3.3.2.4. By Type

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Recent Developments
• 12.2. Product Launches
• 12.3. Mergers & Acquisitions

13. Global Artificial Intelligence (AI) In Animal Health Market: SWOT Analysis

14. Competitive Landscape

• 14.1. Zoetis Services LLC
  • 14.1.1. Business Overview
  • 14.1.2. Product & Service Offerings
  • 14.1.3. Recent Developments
  • 14.1.4. Financials (If Listed)
  • 14.1.5. Key Personnel
  • 14.1.6. SWOT Analysis
• 14.2. Merck & Co., Inc.
• 14.3. Laboratory Corporation of America Holdings
• 14.4. Heska Corporation
• 14.5. SignalPET
• 14.6. VetCT
• 14.7. Vetology LLC.
• 14.8. OneCup AI
• 14.9. Petriage
• 14.10.ImpriMed, Inc.

15. Strategic Recommendations

16. About Us & Disclaimer