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1904708

獸醫人工智慧和預測分析市場預測至2032年：全球分析，按組件、解決方案、動物類型、部署類型、應用、最終用戶和地區分類

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個工作天內

價格

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球獸醫人工智慧和預測分析市場價值將達到 18.5 億美元，到 2032 年將達到 60.6 億美元，在預測期內的複合年成長率為 18.4%。

獸醫人工智慧和預測分析是指將人工智慧 (AI)、機器學習和數據分析應用於獸醫學，以預測、診斷和管理動物健康狀況。它整合來自臨床記錄、影像、基因資訊、穿戴式裝置和農場系統的歷史數據和即時數據，以預測疾病風險、治療效果和生產力趨勢。這些工具植根於傳統獸醫學，並由現代演算法驅動，能夠實現早期療育、個人化治療方案、群體健康管理，並提高伴侶動物護理、牲畜管理和動物監測的運作效率，最終改善動物福利、降低成本，並為循證獸醫決策提供支持。

寵物飼養率不斷提高以及對先進醫療保健的需求不斷成長

寵物飼養量的增加以及飼主與寵物之間日益加深的情感紐帶正在重新定義人們對獸醫服務的期望。寵物飼主越來越希望獲得與人類醫療保健類似的早期診斷、精準治療和預防性保健。這種轉變推動了人工智慧診斷、預測分析和決策支援工具的應用，從而提高了診斷的準確性和速度。同時，畜牧養殖戶也正在採用預測技術來減少疾病爆發、最佳化畜群健康、提高生產力並降低死亡率，推動了整個市場的成長。

高昂的實施成本

高昂的實施成本仍然是一大障礙，尤其對於中小型獸醫診所而言更是如此。實施人工智慧和預測分析需要對軟體平台、先進硬體、資料儲存和專業人力資源進行大量投資。與現有舊有系統的整合進一步增加了成本。此外，與維護、網路安全和系統升級相關的持續費用也阻礙了其廣泛應用，尤其是在價格敏感地區和數位化能力有限的傳統診所。

技術進步

人工智慧、機器學習、雲端運算和數據分析的持續進步正在創造強勁的成長機會。影像識別、預測建模和即時分析技術的改進提高了診斷準確性和營運效率。雲端平台和訂閱模式降低了小規模診所的進入門檻。隨著技術的成熟和成本效益的提高，我們預期伴侶動物照護、畜牧管理和研究機構的應用將顯著加速。

資料隱私和安全問題

資料隱私和安全問題對市場成長構成重大威脅。獸醫人工智慧系統處理敏感的臨床記錄、基因數據和營運資訊，使其面臨網路攻擊和資料外洩的風險。不同地區的法規結構差異加劇了合規難度，並增加了法律風險。對數據濫用、客戶信任喪失以及潛在經濟處罰的擔憂，可能會阻礙獸醫機構大規模採用人工智慧驅動的解決方案。

新冠疫情的影響：

新冠疫情對獸醫人工智慧和預測分析市場產生了複雜的影響。雖然疫情初期對診所營運造成了衝擊，並減緩了技術投資，但危機也加速了數位轉型。遠端獸醫服務、遠距離診斷和人工智慧驅動的監測在疫情封鎖期間備受關注。疫情也凸顯了預測分析在保障醫療服務連續性、提高醫護人員效率和主動疾病管理方面的重要性，從而鞏固了其在獸醫領域的長期市場應用趨勢。

預計在預測期內，診斷檢查室領域將佔據最大的市場佔有率。

由於診斷檢查室高度依賴大規模資料處理和高診斷準確率，預計在預測期內，該領域將佔據最大的市場佔有率。基於人工智慧的影像分析、病理診斷和疾病預測檢測能夠顯著縮短處理時間並減少人為錯誤。集中式檢查室憑藉著規模經濟效應，提高了人工智慧投資的經濟效益。對早期檢測、預防性篩檢和精準診斷日益成長的需求，將進一步鞏固該領域在伴侶動物和牲畜健康管理領域的領先地位。

預計在預測期內，軟體產業將實現最高的複合年成長率。

預計在預測期內，軟體領域將實現最高成長率，這主要得益於雲端人工智慧平台和預測分析工具的日益普及。與硬體相比，軟體解決方案具有擴充性、初始成本更低以及演算法持續改進等優勢。人工智慧在臨床決策支援、工作流程最佳化、人群健康監測和遠距離診斷領域的日益廣泛應用，正在推動市場需求。從小規模診所到大型獸醫網路，基於訂閱的部署模式進一步促進了軟體的快速普及。

佔比最大的地區：

由於畜牧業數量的快速成長、寵物擁有率的上升以及獸醫基礎設施的不斷完善，亞太地區預計將在預測期內佔據最大的市場佔有率。對食品安全、疾病監測和生產力最佳化的日益重視正在推動人工智慧解決方案的普及應用。政府支持數位農業和動物健康監測的舉措，尤其是在中國、印度和日本，進一步鞏固了該地區在市場佔有率方面的主導地位。

年複合成長率最高的地區：

由於北美地區早期便開始採用先進的獸醫技術，且人工智慧解決方案供應商實力雄厚，預計該地區在預測期內將實現最高的複合年成長率。高昂的獸醫醫療費用支出、廣泛的寵物保險覆蓋範圍以及成熟的數位基礎設施都為技術的快速普及提供了支援。策略合作、持續創新以及對預測性和數據驅動型獸醫護理的高度重視，正在加速診所、診斷檢查室和研究實驗室對相關技術的應用。

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目錄

第1章執行摘要

第2章 前言

  • 摘要
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球獸醫人工智慧和預測分析市場（按組件分類）

  • 軟體
  • 硬體
  • 服務

6. 全球獸醫人工智慧和預測分析市場（按解決方案分類）

  • 人工智慧平台
  • 本地部署解決方案
  • 預測分析工具
  • 基於雲端的解決方案

7. 全球獸醫人工智慧和預測分析市場（按動物類型分類）

  • 伴侶動物
  • 馬
  • 家畜
  • 其他動物類型

8. 全球獸醫人工智慧和預測分析市場按部署類型分類

  • 本地部署
  • 雲

9. 全球獸醫人工智慧和預測分析市場（按應用分類）

  • 影像與放射學
  • 治療計劃
  • 疾病識別與預測
  • 監測與追蹤
  • 畜牧管理系統
  • 研究與開發

第10章 全球獸醫人工智慧和預測分析市場（按最終用戶分類）

  • 獸醫醫院和診所
  • 學術機構
  • 診斷檢查室
  • 研究所
  • 其他最終用戶

第11章 全球獸醫人工智慧和預測分析市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第13章：企業概況

  • 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.