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市场调查报告书
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1904708

兽医人工智慧和预测分析市场预测至2032年：全球分析，按组件、解决方案、动物类型、部署类型、应用、最终用户和地区划分

Veterinary AI & Predictive Analytics Market Forecasts to 2032 - Global Analysis By Component (Software, Hardware and Services), Solution, Animal Type, Deployment Mode, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球兽医人工智慧和预测分析市场价值将达到 18.5 亿美元，到 2032 年将达到 60.6 亿美元，在预测期内的复合年增长率为 18.4%。

兽医人工智慧和预测分析是指将人工智慧 (AI)、机器学习和数据分析应用于兽医学，以预测、诊断和管理动物健康状况。它整合来自临床记录、影像、基因资讯、穿戴式装置和农场系统的历史数据和即时数据，以预测疾病风险、治疗效果和生产力趋势。这些工具植根于传统兽医学，并由现代演算法驱动，能够实现早期疗育、个人化治疗方案、群体健康管理，并提高伴侣动物护理、牲畜管理和动物监测的运作效率，最终改善动物福利、降低成本，并为循证兽医决策提供支持。

宠物饲养率不断提高以及对先进医疗保健的需求不断增长

宠物饲养量的增加以及饲主与宠物之间日益加深的情感纽带正在重新定义人们对兽医服务的期望。宠物饲主越来越希望获得与人类医疗保健类似的早期诊断、精准治疗和预防性保健。这种转变推动了人工智慧诊断、预测分析和决策支援工具的应用，从而提高了诊断的准确性和速度。同时，畜牧养殖户也正在采用预测技术来减少疾病爆发、优化畜群健康、提高生产力并降低死亡率，推动了整个市场的成长。

高昂的实施成本

高昂的实施成本仍然是一大障碍，尤其对于中小型兽医诊所而言更是如此。实施人工智慧和预测分析需要对软体平台、先进硬体、资料储存和专业人力资源进行大量投资。与现有旧有系统的整合进一步增加了成本。此外，与维护、网路安全和系统升级相关的持续费用也阻碍了其广泛应用，尤其是在价格敏感地区和数位化能力有限的传统诊所。

技术进步

人工智慧、机器学习、云端运算和数据分析的持续进步正在创造强劲的成长机会。影像识别、预测建模和即时分析技术的改进提高了诊断准确性和营运效率。云端平台和订阅模式降低了小规模诊所的进入门槛。随着技术的成熟和成本效益的提高，我们预期伴侣动物照护、畜牧管理和研究机构的应用将显着加速。

资料隐私和安全问题

资料隐私和安全问题对市场成长构成重大威胁。兽医人工智慧系统处理敏感的临床记录、基因数据和营运信息，使其面临网路攻击和资料外洩的风险。不同地区的法规结构差异加剧了合规难度，并增加了法律风险。对数据滥用、客户信任丧失以及潜在经济处罚的担忧，可能会阻碍兽医机构大规模采用人工智慧驱动的解决方案。

新冠疫情的影响：

新冠疫情对兽医人工智慧和预测分析市场产生了复杂的影响。虽然疫情初期对诊所营运造成了衝击，并减缓了技术投资，但危机也加速了数位转型。远端兽医服务、远距离诊断和人工智慧驱动的监测在疫情封锁期间备受关注。疫情也凸显了预测分析在保障医疗服务连续性、提高医护人员效率和主动疾病管理方面的重要性，从而巩固了其在兽医领域的长期市场应用趋势。

预计在预测期内，诊断检查室领域将占据最大的市场份额。

由于诊断检查室高度依赖大规模资料处理和高诊断准确率，预计在预测期内，该领域将占据最大的市场份额。基于人工智慧的影像分析、病理诊断和疾病预测检测能够显着缩短处理时间并减少人为错误。集中式检查室凭藉着规模经济效应，提高了人工智慧投资的经济效益。对早期检测、预防性筛检和精准诊断日益增长的需求，将进一步巩固该领域在伴侣动物和牲畜健康管理领域的领先地位。

预计在预测期内，软体产业将实现最高的复合年增长率。

预计在预测期内，软体领域将实现最高成长率，这主要得益于云端人工智慧平台和预测分析工具的日益普及。与硬体相比，软体解决方案具有扩充性、初始成本更低以及演算法持续改进等优势。人工智慧在临床决策支援、工作流程优化、人群健康监测和远距离诊断领域的日益广泛应用，正在推动市场需求。从小规模诊所到大型兽医网络，基于订阅的部署模式进一步促进了软体的快速普及。

占比最大的地区：

由于畜牧业数量的快速增长、宠物拥有率的上升以及兽医基础设施的不断完善，亚太地区预计将在预测期内占据最大的市场份额。对食品安全、疾病监测和生产力优化的日益重视正在推动人工智慧解决方案的普及应用。政府支持数位农业和动物健康监测的倡议，尤其是在中国、印度和日本，进一步巩固了该地区在市场份额方面的主导地位。

年复合成长率最高的地区：

由于北美地区早期便开始采用先进的兽医技术，且人工智慧解决方案供应商实力雄厚，预计该地区在预测期内将实现最高的复合年增长率。高昂的兽医医疗费用支出、广泛的宠物保险覆盖范围以及成熟的数位基础设施都为技术的快速普及提供了支援。策略合作、持续创新以及对预测性和数据驱动型兽医护理的高度重视，正在加速诊所、诊断检查室和研究实验室对相关技术的应用。

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目录

第一章执行摘要

第二章 前言

  • 摘要
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球兽医人工智慧和预测分析市场（按组件划分）

  • 软体
  • 硬体
  • 服务

6. 全球兽医人工智慧和预测分析市场（按解决方案划分）

  • 人工智慧平台
  • 本地部署解决方案
  • 预测分析工具
  • 基于云端的解决方案

7. 全球兽医人工智慧和预测分析市场（按动物类型划分）

  • 伴侣动物
  • 马
  • 家畜
  • 其他动物类型

8. 全球兽医人工智慧和预测分析市场按部署类型划分

  • 本地部署
  • 云

9. 全球兽医人工智慧和预测分析市场（按应用划分）

  • 影像与放射学
  • 治疗计划
  • 疾病识别与预测
  • 监测与追踪
  • 畜牧管理系统
  • 研究与开发

第十章 全球兽医人工智慧和预测分析市场（按最终用户划分）

  • 兽医医院和诊所
  • 学术机构
  • 诊断检查室
  • 研究所
  • 其他最终用户

第十一章 全球兽医人工智慧和预测分析市场（按地区划分）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十三章：企业概况

  • IDEXX Laboratories, Inc.
  • One Health Group
  • Zoetis Inc.
  • Animal Dynamics
  • Antech Diagnostics
  • FuturePet
  • SignalPET
  • AIGenics
  • Vetology AI
  • Vetspire
  • PetDx
  • VetCT
  • Petriage
  • Vetscan AI
  • TeleVet
Product Code: SMRC32960

According to Stratistics MRC, the Global Veterinary AI & Predictive Analytics Market is accounted for $1.85 billion in 2025 and is expected to reach $6.06 billion by 2032 growing at a CAGR of 18.4% during the forecast period. Veterinary AI & Predictive Analytics refers to the application of artificial intelligence, machine learning, and data analytics technologies to veterinary medicine for anticipating, diagnosing, and managing animal health conditions. It combines historical and real-time data from clinical records, imaging, genetics, wearables, and farm systems to predict disease risks, treatment outcomes, and productivity trends. Rooted in traditional veterinary science yet powered by modern algorithms, these tools enable early intervention, personalized treatment planning, population health management, and operational efficiency across companion animal care, livestock management, and animal research, ultimately improving animal welfare, reducing costs, and supporting evidence-based veterinary decision-making.

Market Dynamics:

Driver:

Rising Pet Ownership & Demand for Advanced Care

Rising pet ownership and the growing emotional bond between owners and animals are resholding veterinary care expectations. Pet parents increasingly seek early diagnosis, precision treatment, and preventive healthcare similar to human medicine. This shift drives adoption of AI-powered diagnostics, predictive analytics, and decision-support tools that enhance accuracy and speed. In parallel, livestock producers are adopting predictive technologies to reduce disease outbreaks, optimize herd health, improve productivity, and lower mortality rates, accelerating overall market growth.

Restraint:

High Implementation Costs

High implementation costs remain a key restraint, particularly for small and mid-sized veterinary clinics. Deployment of AI and predictive analytics requires significant investments in software platforms, advanced hardware, data storage, and skilled professionals. Integration with existing legacy systems further increases costs. Additionally, ongoing expenses related to maintenance, cybersecurity, and system upgrades deter widespread adoption, especially in price-sensitive regions and traditional practices with limited digital readiness.

Opportunity:

Advancements in technology

Continuous advancements in artificial intelligence, machine learning, cloud computing, and data analytics present strong growth opportunities. Improved image recognition, predictive modeling, and real-time analytics are enhancing diagnostic accuracy and operational efficiency. Cloud-based platforms and subscription models are lowering entry barriers for smaller practices. As technology matures and becomes more cost-effective, adoption across companion animal care, livestock management, and research institutions is expected to accelerate significantly.

Threat:

Data Privacy & Security Concerns

Data privacy and security concerns pose a significant threat to market growth. Veterinary AI systems handle sensitive clinical records, genetic data, and operational information, making them vulnerable to cyberattacks and data breaches. Inconsistent regulatory frameworks across regions complicate compliance and increase legal risks. Fear of data misuse, loss of client trust, and potential financial penalties can discourage veterinary organizations from adopting AI-driven solutions at scale.

Covid-19 Impact:

The COVID-19 pandemic had a mixed impact on the Veterinary AI & Predictive Analytics market. While initial disruptions affected clinic operations and delayed technology investments, the crisis accelerated digital adoption. Tele-veterinary services, remote diagnostics, and AI-driven monitoring gained prominence during lockdowns. The pandemic highlighted the importance of predictive analytics for continuity of care, workforce efficiency, and proactive disease management, strengthening long-term market adoption trends.

The diagnostic laboratories segment is expected to be the largest during the forecast period

The diagnostic laboratories segment is expected to account for the largest market share during the forecast period, due to its heavy dependence on high-volume data processing and advanced diagnostic accuracy. AI-driven image analysis, pathology interpretation, and predictive disease detection significantly reduce turnaround time and human error. Centralized laboratories benefit from economies of scale, making AI investments financially viable. Growing demand for early detection, preventive screening, and precision diagnostics further strengthens the dominance of this segment across companion and livestock health.

The software segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the software segment is predicted to witness the highest growth rate, due to rising adoption of cloud-based AI platforms and predictive analytics tools. Software solutions offer scalability, lower upfront costs, and continuous algorithm improvements compared to hardware. Increasing use of AI for clinical decision support, workflow optimization, population health monitoring, and remote diagnostics is accelerating demand. Subscription-based deployment models are further enabling rapid penetration across small clinics and large veterinary networks alike.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, due to rapid growth in livestock populations, rising pet adoption, and expanding veterinary infrastructure. Increasing focus on food security, disease surveillance, and productivity optimization is driving adoption of AI-based solutions. Government initiatives supporting digital agriculture and animal health monitoring, particularly in China, India, and Japan, further reinforce the region's leadership in market share.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to early adoption of advanced veterinary technologies and strong presence of AI solution providers. High veterinary healthcare spending, widespread pet insurance coverage, and mature digital infrastructure support rapid deployment. Strategic partnerships, continuous innovation, and strong awareness of predictive, data-driven veterinary care are accelerating adoption across clinics, diagnostic laboratories, and research institutions.

Key players in the market

Some of the key players in Veterinary AI & Predictive Analytics Market include IDEXX Laboratories, Inc., One Health Group, Zoetis Inc., Animal Dynamics, Antech Diagnostics, FuturePet, SignalPET, AIGenics, Vetology AI, Vetspire, PetDx, VetCT, Petriage, Vetscan AI and TeleVet.

Key Developments:

In June 2025, Zoetis has entered a long-term consulting partnership with Infosys, where the IT firm will integrate advanced AI and automation into Zoetis' digital systems to boost operational efficiency, agility, and innovation, helping the animal health leader responds to evolving industry and customer needs.

In February 2024, Zoetis and Blacksmith Medicines have launched a research collaboration to discover and develop novel antibiotics for animal health, aiming to reduce reliance on antibiotic classes shared with human medicine and provide new treatment options for life-threatening infections in livestock.

Components Covered:

  • Software
  • Hardware
  • Services

Solutions Covered:

  • AI Platforms
  • On-Premises Solutions
  • Predictive Analytics Tools
  • Cloud-Based Solutions

Animal Types Covered:

  • Companion Animals
  • Equine
  • Livestock
  • Other Animal Types

Deployment Modes Covered:

  • On Premises
  • Cloud

Applications Covered:

  • Imaging & Radiology
  • Treatment Planning
  • Identification & Disease Prediction
  • Monitoring & Tracking
  • Livestock Management Systems
  • Research & Development

End Users Covered:

  • Veterinary Hospitals & Clinics
  • Academic Institutions
  • Diagnostic Laboratories
  • Research Institutes
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Veterinary AI & Predictive Analytics Market, By Component

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Hardware
  • 5.4 Services

6 Global Veterinary AI & Predictive Analytics Market, By Solution

  • 6.1 Introduction
  • 6.2 AI Platforms
  • 6.3 On-Premises Solutions
  • 6.4 Predictive Analytics Tools
  • 6.5 Cloud-Based Solutions

7 Global Veterinary AI & Predictive Analytics Market, By Animal Type

  • 7.1 Introduction
  • 7.2 Companion Animals
  • 7.3 Equine
  • 7.4 Livestock
  • 7.5 Other Animal Types

8 Global Veterinary AI & Predictive Analytics Market, By Deployment Mode

  • 8.1 Introduction
  • 8.2 On Premises
  • 8.3 Cloud

9 Global Veterinary AI & Predictive Analytics Market, By Application

  • 9.1 Introduction
  • 9.2 Imaging & Radiology
  • 9.3 Treatment Planning
  • 9.4 Identification & Disease Prediction
  • 9.5 Monitoring & Tracking
  • 9.6 Livestock Management Systems
  • 9.7 Research & Development

10 Global Veterinary AI & Predictive Analytics Market, By End User

  • 10.1 Introduction
  • 10.2 Veterinary Hospitals & Clinics
  • 10.3 Academic Institutions
  • 10.4 Diagnostic Laboratories
  • 10.5 Research Institutes
  • 10.6 Other End Users

11 Global Veterinary AI & Predictive Analytics Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 IDEXX Laboratories, Inc.
  • 13.2 One Health Group
  • 13.3 Zoetis Inc.
  • 13.4 Animal Dynamics
  • 13.5 Antech Diagnostics
  • 13.6 FuturePet
  • 13.7 SignalPET
  • 13.8 AIGenics
  • 13.9 Vetology AI
  • 13.10 Vetspire
  • 13.11 PetDx
  • 13.12 VetCT
  • 13.13 Petriage
  • 13.14 Vetscan AI
  • 13.15 TeleVet

List of Tables

  • Table 1 Global Veterinary AI & Predictive Analytics Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Veterinary AI & Predictive Analytics Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Veterinary AI & Predictive Analytics Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global Veterinary AI & Predictive Analytics Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 5 Global Veterinary AI & Predictive Analytics Market Outlook, By Services (2024-2032) ($MN)
  • Table 6 Global Veterinary AI & Predictive Analytics Market Outlook, By Solution (2024-2032) ($MN)
  • Table 7 Global Veterinary AI & Predictive Analytics Market Outlook, By AI Platforms (2024-2032) ($MN)
  • Table 8 Global Veterinary AI & Predictive Analytics Market Outlook, By On-Premises Solutions (2024-2032) ($MN)
  • Table 9 Global Veterinary AI & Predictive Analytics Market Outlook, By Predictive Analytics Tools (2024-2032) ($MN)
  • Table 10 Global Veterinary AI & Predictive Analytics Market Outlook, By Cloud-Based Solutions (2024-2032) ($MN)
  • Table 11 Global Veterinary AI & Predictive Analytics Market Outlook, By Animal Type (2024-2032) ($MN)
  • Table 12 Global Veterinary AI & Predictive Analytics Market Outlook, By Companion Animals (2024-2032) ($MN)
  • Table 13 Global Veterinary AI & Predictive Analytics Market Outlook, By Equine (2024-2032) ($MN)
  • Table 14 Global Veterinary AI & Predictive Analytics Market Outlook, By Livestock (2024-2032) ($MN)
  • Table 15 Global Veterinary AI & Predictive Analytics Market Outlook, By Other Animal Types (2024-2032) ($MN)
  • Table 16 Global Veterinary AI & Predictive Analytics Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 17 Global Veterinary AI & Predictive Analytics Market Outlook, By On Premises (2024-2032) ($MN)
  • Table 18 Global Veterinary AI & Predictive Analytics Market Outlook, By Cloud (2024-2032) ($MN)
  • Table 19 Global Veterinary AI & Predictive Analytics Market Outlook, By Application (2024-2032) ($MN)
  • Table 20 Global Veterinary AI & Predictive Analytics Market Outlook, By Imaging & Radiology (2024-2032) ($MN)
  • Table 21 Global Veterinary AI & Predictive Analytics Market Outlook, By Treatment Planning (2024-2032) ($MN)
  • Table 22 Global Veterinary AI & Predictive Analytics Market Outlook, By Identification & Disease Prediction (2024-2032) ($MN)
  • Table 23 Global Veterinary AI & Predictive Analytics Market Outlook, By Monitoring & Tracking (2024-2032) ($MN)
  • Table 24 Global Veterinary AI & Predictive Analytics Market Outlook, By Livestock Management Systems (2024-2032) ($MN)
  • Table 25 Global Veterinary AI & Predictive Analytics Market Outlook, By Research & Development (2024-2032) ($MN)
  • Table 26 Global Veterinary AI & Predictive Analytics Market Outlook, By End User (2024-2032) ($MN)
  • Table 27 Global Veterinary AI & Predictive Analytics Market Outlook, By Veterinary Hospitals & Clinics (2024-2032) ($MN)
  • Table 28 Global Veterinary AI & Predictive Analytics Market Outlook, By Academic Institutions (2024-2032) ($MN)
  • Table 29 Global Veterinary AI & Predictive Analytics Market Outlook, By Diagnostic Laboratories (2024-2032) ($MN)
  • Table 30 Global Veterinary AI & Predictive Analytics Market Outlook, By Research Institutes (2024-2032) ($MN)
  • Table 31 Global Veterinary AI & Predictive Analytics Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.