动物保健市场中的人工智慧 (AI) - 按解决方案（硬体、软体、服务）应用（诊断、识别、追踪和监测）、动物类型（伴侣、牲畜）、最终用途、全球预测（2024 - 2032）

由于对高效兽医实践的需求以及兽医研发投资的不断增加，2024年至2032年，全球动物保健市场人工智慧（AI）规模的复合年增长率将达到18.4%。随着兽医实践寻求优化营运并减轻管理负担，人工智慧技术透过自动化和增强的资料分析提供了关键支援。此外，研发资金的增加加速了创新人工智慧解决方案的开发，并提高了诊断准确性和治疗效果。这种效率需求和研究投资的融合将显着扩大动物保健产业人工智慧（AI）的规模。

例如，2024年5月，Modern Animal推出了人工智慧辅助工具来增强其医疗软体Claude，旨在减轻兽医的行政负担。这些升级旨在提高约 60,000 隻宠物及其家人的服务品质。这一发展突显了人工智慧技术越来越多地被采用来提高效率、改善服务品质并有效管理大量患者。此举反映了全球人工智慧在动物保健市场的更广泛趋势，即利用先进技术来优化兽医实践并满足对高品质动物护理不断增长的需求。

动物保健市场中的人工智慧（AI）根据解决方案、应用、动物类型、最终用途和地区进行分类。

由于识别、追踪和监测领域在加强动物管理方面发挥着至关重要的作用，到 2032 年，该领域将出现显着扩展。该领域的人工智慧驱动技术可以实现对动物健康和行为的精确识别、即时追踪和全面监测。这些功能可改善疾病检测、简化育种流程并确保更好的整体动物福利。对准确、高效的动物管理解决方案不断增长的需求凸显了该领域的重要性，推动其在动物健康产业人工智慧 (AI) 领域的主导地位。

受人工智慧在管理大规模畜群方面带来的巨大好处的推动，到 2023 年，家畜领域将大幅成长。人工智慧技术透过提供即时资料和预测分析来增强疾病检测、优化育种实践并改善整体动物福利。对高效牲畜管理的需求不断增长，加上生产力提高和节省成本的潜力，推动了该领域的主导地位。这一趋势反映了人工智慧对促进牲畜健康和管理实践的重大影响。

在其先进的技术基础设施、大量的研发投资以及严格的动物福利法规的推动下，欧洲人工智慧 (AI) 在动物保健市场份额将在 2024 年至 2032 年间达到显着的复合年增长率。该地区非常注重将创新的人工智慧解决方案整合到畜牧业和兽医实践中，推动了市场的成长。欧洲致力于透过尖端技术和全面的监测系统改善动物健康，这使其成为全球动物健康产业人工智慧（AI）的关键贡献者。

目录

第 1 章：方法与范围

第 2 章：执行摘要

第 3 章：产业洞察

• 产业生态系统分析
• 产业影响力
  • 成长动力
    • 宠物拥有量和支出不断增加
    • 人工智慧技术的进步
    • 更加重视动物疫病预防
    • 智慧型设备和穿戴式装置的开发
  • 产业陷阱与挑战
    • 实施成本高
    • 资料隐私和安全问题
• 成长潜力分析
• 监管环境
• 技术景观
• 未来市场趋势
• 波特的分析
• PESTEL分析

第 4 章：竞争格局

• 介绍
• 公司矩阵分析
• 主要市场参与者的竞争分析
• 竞争定位矩阵
• 战略仪表板

第 5 章：市场估计与预测：按解决方案，2021 - 2032 年

• 主要趋势
• 硬体
• 软体
• 服务

第 6 章：市场估计与预测：按应用分类，2021 - 2032

• 主要趋势
• 诊断
• 识别、追踪和监控
• 其他应用

第 7 章：市场估计与预测：按动物类型，2021 - 2032

• 主要趋势
• 伴侣动物
• 畜牧动物

第 8 章：市场估计与预测：按最终用途，2021 - 2032 年

• 主要趋势
• 兽医医院和诊所
• 动物农场
• 兽医诊断实验室
• 其他最终用户

第 9 章：市场估计与预测：按地区，2021 - 2032

• 主要趋势
• 北美洲
  • 我们
  • 加拿大
• 欧洲
  • 德国
  • 英国
  • 法国
  • 西班牙
  • 义大利
  • 荷兰
  • 欧洲其他地区
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 澳洲
  • 韩国
  • 亚太地区其他地区
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 拉丁美洲其他地区
• 中东和非洲
  • 南非
  • 沙乌地阿拉伯
  • 阿联酋
  • 中东和非洲其他地区

第 10 章：公司简介

• Animals.ai
• Heska Corporation
• IDEXX Laboratories, Inc.
• ImpriMed, Inc.
• Merck & Co., Inc.
• OneCup AI
• Petriage
• PetPace
• SignalPET
• VetCT
• Vetology LLC
• Zoetis Inc.

Global Artificial Intelligence (AI) in Animal Health Market size will register an 18.4% CAGR from 2024 to 2032, owing to the need for efficient veterinary practices and escalating investment in veterinary R&D. As veterinary practices seek to optimize operations and reduce administrative burdens, AI technologies provide crucial support through automation and enhanced data analysis. Furthermore, increased funding in R&D accelerates the development of innovative AI solutions, improving diagnostic accuracy and treatment efficacy. This convergence of efficiency needs and research investment will significantly expand the size of artificial intelligence (AI) in animal health industry.

For instance, in May 2024, Modern Animal introduced AI-assisted tools to enhance its medical software, Claude, aimed at reducing administrative burdens for veterinarians. These upgrades are set to improve service quality for around 60,000 pets and their families. This development underscores the increasing adoption of AI technologies to enhance efficiency, improve service quality, and manage large numbers of patients effectively. The move reflects a broader trend in the global AI in animal health market towards leveraging advanced technology to optimize veterinary practices and meet the rising demand for high-quality animal care.

The artificial intelligence (AI) in animal health market is classified based on solution, application, animal type, end-use, and region.

The identification, tracking, and monitoring segment will witness remarkable expansion through 2032 due to its crucial role in enhancing animal management. AI-driven technologies in this segment enable precise identification, real-time tracking, and comprehensive monitoring of animal health and behavior. These capabilities improve disease detection, streamline breeding processes, and ensure better overall animal welfare. The growing demand for accurate and efficient animal management solutions highlights the segment's importance, driving its dominance in artificial intelligence (AI) in animal health industry.

The livestock animals segment will see a considerable surge by 2023, driven by the substantial benefits AI offers in managing large-scale herds. AI technologies enhance disease detection, optimize breeding practices, and improve overall animal welfare by providing real-time data and predictive analytics. The rising need for efficient livestock management, coupled with the potential for increased productivity and cost savings, drives the segment's dominance. This trend reflects the major impact of AI on advancing livestock health and management practices.

Europe artificial intelligence (AI) in animal health market share will reach a notable CAGR between 2024 and 2032, fueled by its advanced technology infrastructure, significant investment in research and development, and stringent animal welfare regulations. The region's strong focus on integrating innovative AI solutions into livestock and veterinary practices drives market growth. Europe's commitment to improving animal health through cutting-edge technology and comprehensive monitoring systems positions it as a key contributor to global artificial intelligence (AI) in animal health industry.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Market scope & definitions
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Base estimates & calculations
  • 1.3.1 Base year calculation
  • 1.3.2 Key trends for market estimation
• 1.4 Forecast model
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
  • 1.5.2 Data mining sources

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Industry impact forces
  • 3.2.1 Growth drivers
    • 3.2.1.1 Rising pet ownership and expenditure
    • 3.2.1.2 Advancements in AI technology
    • 3.2.1.3 Increased focus on animal disease prevention
    • 3.2.1.4 Development of smart devices and wearables
  • 3.2.2 Industry pitfalls & challenges
    • 3.2.2.1 High cost of implementation
    • 3.2.2.2 Data privacy and security concerns
• 3.3 Growth potential analysis
• 3.4 Regulatory landscape
• 3.5 Technology landscape
• 3.6 Future market trends
• 3.7 Porter's analysis
• 3.8 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company matrix analysis
• 4.3 Competitive analysis of major market players
• 4.4 Competitive positioning matrix
• 4.5 Strategy dashboard

Chapter 5 Market Estimates and Forecast, By Solution, 2021 - 2032 ($ Mn)

• 5.1 Key trends
• 5.2 Hardware
• 5.3 Software
• 5.4 Service

Chapter 6 Market Estimates and Forecast, By Application, 2021 - 2032 ($ Mn)

• 6.1 Key trends
• 6.2 Diagnostics
• 6.3 Identification, tracking, and monitoring
• 6.4 Other applications

Chapter 7 Market Estimates and Forecast, By Animal Type, 2021 - 2032 ($ Mn)

• 7.1 Key trends
• 7.2 Companion animals
• 7.3 Livestock animals

Chapter 8 Market Estimates and Forecast, By End-use, 2021 - 2032 ($ Mn)

• 8.1 Key trends
• 8.2 Veterinary hospitals & clinics
• 8.3 Animal farms
• 8.4 Veterinary diagnostic laboratories
• 8.5 Other end-users

Chapter 9 Market Estimates and Forecast, By Region, 2021 - 2032 ($ Mn)

• 9.1 Key trends
• 9.2 North America
  • 9.2.1 U.S.
  • 9.2.2 Canada
• 9.3 Europe
  • 9.3.1 Germany
  • 9.3.2 UK
  • 9.3.3 France
  • 9.3.4 Spain
  • 9.3.5 Italy
  • 9.3.6 Netherlands
  • 9.3.7 Rest of Europe
• 9.4 Asia Pacific
  • 9.4.1 China
  • 9.4.2 Japan
  • 9.4.3 India
  • 9.4.4 Australia
  • 9.4.5 South Korea
  • 9.4.6 Rest of Asia Pacific
• 9.5 Latin America
  • 9.5.1 Brazil
  • 9.5.2 Mexico
  • 9.5.3 Rest of Latin America
• 9.6 Middle East and Africa
  • 9.6.1 South Africa
  • 9.6.2 Saudi Arabia
  • 9.6.3 UAE
  • 9.6.4 Rest of Middle East and Africa

Chapter 10 Company Profiles

• 10.1 Animals.ai
• 10.2 Heska Corporation
• 10.3 IDEXX Laboratories, Inc.
• 10.4 ImpriMed, Inc.
• 10.5 Merck & Co., Inc.
• 10.6 OneCup AI
• 10.7 Petriage
• 10.8 PetPace
• 10.9 SignalPET
• 10.10 VetCT
• 10.11 Vetology LLC
• 10.12 Zoetis Inc.