動物保健市場中的人工智慧 (AI) - 按解決方案（硬體、軟體、服務）應用（診斷、識別、追蹤和監測）、動物類型（伴侶、牲畜）、最終用途、全球預測（2024 - 2032）

由於對高效獸醫實踐的需求以及獸醫研發投資的不斷增加，2024年至2032年，全球動物保健市場人工智慧（AI）規模的複合年成長率將達到18.4%。隨著獸醫實踐尋求最佳化營運並減輕管理負擔，人工智慧技術透過自動化和增強的資料分析提供了關鍵支援。此外，研發資金的增加加速了創新人工智慧解決方案的開發，並提高了診斷準確性和治療效果。這種效率需求和研究投資的融合將顯著擴大動物保健產業人工智慧（AI）的規模。

例如，2024年5月，Modern Animal推出了人工智慧輔助工具來增強其醫療軟體Claude，旨在減輕獸醫的行政負擔。這些升級旨在提高約 60,000 隻寵物及其家人的服務品質。這一發展突顯了人工智慧技術擴大被採用來提高效率、改善服務品質並有效管理大量患者。此舉反映了全球人工智慧在動物保健市場的更廣泛趨勢，即利用先進技術來最佳化獸醫實踐並滿足對高品質動物護理不斷成長的需求。

動物保健市場中的人工智慧（AI）根據解決方案、應用、動物類型、最終用途和地區進行分類。

由於識別、追蹤和監測領域在加強動物管理方面發揮著至關重要的作用，到 2032 年，該領域將出現顯著擴展。該領域的人工智慧驅動技術可以實現對動物健康和行為的精確識別、即時追蹤和全面監測。這些功能可改善疾病檢測、簡化育種流程並確保更好的整體動物福利。對準確、高效的動物管理解決方案不斷成長的需求凸顯了該領域的重要性，推動其在動物健康產業人工智慧 (AI) 領域的主導地位。

受人工智慧在管理大規模畜群方面帶來的巨大好處的推動，到 2023 年，家畜領域將大幅成長。人工智慧技術透過提供即時資料和預測分析來增強疾病檢測、最佳化育種實踐並改善整體動物福利。對高效牲畜管理的需求不斷成長，加上生產力提高和節省成本的潛力，推動了該領域的主導地位。這一趨勢反映了人工智慧對促進牲畜健康和管理實踐的重大影響。

在其先進的技術基礎設施、大量的研發投資以及嚴格的動物福利法規的推動下，歐洲人工智慧 (AI) 在動物保健市場佔有率將在 2024 年至 2032 年間達到顯著的複合年成長率。該地區非常注重將創新的人工智慧解決方案整合到畜牧業和獸醫實踐中，推動了市場的成長。歐洲致力於透過尖端技術和全面的監測系統改善動物健康，這使其成為全球動物健康產業人工智慧（AI）的關鍵貢獻者。

目錄

第 1 章：方法與範圍

第 2 章：執行摘要

第 3 章：產業洞察

• 產業生態系統分析
• 產業影響力
  • 成長動力
    • 寵物擁有量和支出不斷增加
    • 人工智慧技術的進步
    • 更加重視動物疫病預防
    • 智慧型設備和穿戴式裝置的開發
  • 產業陷阱與挑戰
    • 實施成本高
    • 資料隱私和安全問題
• 成長潛力分析
• 監管環境
• 技術景觀
• 未來市場趨勢
• 波特的分析
• PESTEL分析

第 4 章：競爭格局

• 介紹
• 公司矩陣分析
• 主要市場參與者的競爭分析
• 競爭定位矩陣
• 戰略儀表板

第 5 章：市場估計與預測：按解決方案，2021 - 2032 年

• 主要趨勢
• 硬體
• 軟體
• 服務

第 6 章：市場估計與預測：按應用分類，2021 - 2032

• 主要趨勢
• 診斷
• 識別、追蹤和監控
• 其他應用

第 7 章：市場估計與預測：按動物類型，2021 - 2032

• 主要趨勢
• 伴侶動物
• 畜牧動物

第 8 章：市場估計與預測：按最終用途，2021 - 2032 年

• 主要趨勢
• 獸醫醫院和診所
• 動物農場
• 獸醫診斷實驗室
• 其他最終用戶

第 9 章：市場估計與預測：按地區，2021 - 2032

• 主要趨勢
• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 英國
  • 法國
  • 西班牙
  • 義大利
  • 荷蘭
  • 歐洲其他地區
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 澳洲
  • 韓國
  • 亞太地區其他地區
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 拉丁美洲其他地區
• 中東和非洲
  • 南非
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 中東和非洲其他地區

第 10 章：公司簡介

• 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.