動物保健市場中的人工智慧 - 全球產業規模、佔有率、趨勢、機會和預測，按解決方案、按階段、按應用、按類型、按地區和競爭進行細分，2020-2030 年

2024 年全球動物保健人工智慧 (AI) 市場價值為 11.212 億美元，預計在預測期內將實現強勁成長，到 2030 年的複合年成長率為 11.10%。全球動物保健人工智慧 (AI) 市場已成為獸醫和動物保健產業一股充滿活力的變革力量。利用尖端技術，人工智慧正在徹底改變動物的診斷、治療和護理方式，從而改善動物福利、加強疾病管理並提高獸醫實踐效率。人工智慧技術，包括機器學習、電腦視覺、自然語言處理和預測分析，正在被用來解決動物健康的各種挑戰。其中一個重要影響領域是疾病的早期發現和診斷。人工智慧演算法可以分析來自醫學影像（例如 X 光和 MRI）以及生物樣本的大量資料，以識別可能逃脫人眼觀察的細微模式和異常。這種能力使獸醫能夠在早期階段發現癌症、關節疾病和感染等疾病，從而促進及時介入並增加成功治療的機會。

人工智慧驅動的預測分析正在徹底改變動物健康管理。透過分析歷史健康資料、遺傳資訊和環境因素，人工智慧系統可以對潛在的健康風險和疾病爆發產生洞察和預測。這種積極主動的方法使獸醫和動物保健專業人員能夠實施預防措施，最佳化疫苗接種策略，並最大限度地減少動物族群中疾病的傳播。遠距醫療和遠端監控也透過人工智慧的整合得到了顯著的推動。借助穿戴式裝置和感測器，人工智慧系統可以持續監測動物的生命徵象、行為和活動量。這些即時資料可傳輸給獸醫專業人員，使他們能夠遠端追蹤動物的健康狀況並在必要時及時介入。這對於牲畜管理尤其有價值，早期發現疾病可以避免經濟損失並確保食品供應鏈的安全。人工智慧在動物健康領域的應用帶來了精簡和個人化的治療方案。透過分析個別動物的特徵、病史和治療結果，人工智慧演算法可以幫助獸醫制定針對每位患者最佳化的治療方案。這種程度的客製化不僅提高了治療效果，而且還最大限度地減少了副作用並降低了動物主人的醫療保健成本。然而，在帶來巨大前景的同時，動物保健市場中的人工智慧也面臨著一定的挑戰。資料隱私和安全問題以及對強大而多樣化的資料集的需求都是關鍵的考慮因素。此外，將人工智慧技術融入現有的獸醫實踐需要對獸醫和動物保健專業人員進行適當的培訓和教育，以確保有效利用和獲得最佳結果。

主要市場促進因素

寵物擁有量和獸醫護理需求增加

主要市場挑戰

資料隱私和安全問題

主要市場趨勢

人工智慧在診斷成像中的整合

目錄

第 1 章：產品概述

第2章：研究方法

第3章：執行摘要

第4章：顧客之聲

第5章：人工智慧（AI）在動物保健領域的市場展望

• 市場規模和預測
  • 按價值
• 市場佔有率和預測
  • 按解決方案（硬體、軟體和服務）
  • 依階段（第一階段、第二階段、第三階段、第四階段）
  • 按應用程式（診斷、識別、追蹤、監控、其他）
  • 依類型（伴侶動物、生產動物）
  • 按地區
  • 按公司分類（2024）
• 市場地圖

第6章：北美人工智慧（AI）動物保健市場展望

• 市場規模和預測
• 市場佔有率和預測
• 北美：國家分析
  • 加拿大
  • 墨西哥

第7章：歐洲動物保健人工智慧（AI）市場展望

• 市場規模和預測
• 市場佔有率和預測
• 歐洲：國家分析
  • 英國
  • 義大利
  • 法國
  • 西班牙

第8章：亞太地區動物保健人工智慧（AI）市場展望

• 市場規模和預測
• 市場佔有率和預測
• 亞太地區：國家分析
  • 印度
  • 日本
  • 韓國
  • 澳洲

第9章：南美人工智慧（AI）動物保健市場展望

• 市場規模和預測
• 市場佔有率和預測
• 南美洲：國家分析
  • 阿根廷
  • 哥倫比亞

第 10 章：中東和非洲動物保健領域人工智慧 (AI) 市場展望

• 市場規模和預測
• 市場佔有率和預測
• MEA：國家分析
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國

第 11 章：市場動態

• 驅動程式
• 挑戰

第 12 章：市場趨勢與發展

• 最新動態
• 產品發布
• 合併與收購

第 13 章：全球動物保健人工智慧 (AI) 市場：SWOT 分析

第 14 章：競爭格局

• 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：策略建議

第16章調查會社について,免責事項

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