アニマルヘルスにおける人工知能市場 - 世界の産業規模、シェア、動向、機会、予測、ソリューション別、フェーズ別、用途別、タイプ別、地域別、競合別、2020年～2030年

アニマルヘルスにおける人工知能（AI）の世界市場は、2024年に11億2,120万米ドルと評価され、予測期間では2030年までのCAGRが11.10％と堅調な成長が予測されています。

アニマルヘルスにおける人工知能（AI）の世界市場は、獣医学および動物ヘルスケア業界において、ダイナミックで変革的な力として浮上しています。最先端技術を活用したAIは、動物の診断、治療、ケア方法に革命をもたらし、動物福祉の向上、疾病管理の強化、より効率的な獣医診療につながっています。機械学習、コンピュータービジョン、自然言語処理、予測分析などのAI技術は、動物医療におけるさまざまな課題に対処するために活用されています。その中でも大きな影響を及ぼしているのが、病気の早期発見と診断です。AIアルゴリズムは、X線やMRIなどの医用画像や生体サンプルから得られる膨大な量のデータを分析し、人間の目には映らないような微妙なパターンや異常を特定することができます。この機能により、獣医師はがん、関節疾患、感染症などの病気を早期に発見することができ、迅速な介入が容易になり、治療が成功する可能性が高まります。

AIによる予測分析が動物の健康管理に革命をもたらしています。過去の健康データ、遺伝情報、環境要因を分析することで、AIシステムは潜在的な健康リスクや疾病発生に関する洞察や予測を生み出すことができます。このプロアクティブなアプローチにより、獣医師や動物衛生の専門家は予防措置を実施し、ワクチン接種戦略を最適化し、動物集団内での疾病の蔓延を最小限に抑えることができます。遠隔医療と遠隔モニタリングもまた、AIの統合によって大きな盛り上がりを見せています。ウェアラブルデバイスやセンサーの助けを借りて、AIを搭載したシステムは動物のバイタルサイン、行動、活動レベルを継続的にモニターすることができます。このリアルタイムのデータは獣医の専門家に送信することができ、彼らは動物の健康状態を遠隔で追跡し、必要に応じてタイムリーな介入を行うことができます。これは、病気の早期発見が経済的損失を防ぎ、フードサプライチェーンの安全性を確保できる家畜管理にとって特に価値があります。家畜衛生におけるAIの導入は、合理的で個別化された治療計画につながっています。個々の動物の特徴、病歴、治療結果を分析することで、AIアルゴリズムは、各患者に最適化された治療プロトコルを調整する際に獣医師を支援することができます。このレベルのカスタマイズは、治療効果を向上させるだけでなく、副作用を最小限に抑え、飼い主のヘルスケアコストを削減します。しかし、アニマルヘルスにおけるAI市場は、その期待とともに、ある課題にも直面しています。データのプライバシーとセキュリティに関する懸念、そして堅牢で多様なデータセットの必要性は、重要な考慮事項です。さらに、確立された獣医診療にAI技術を統合するには、効果的な利用と最適な結果を確実にするために、獣医師と動物医療専門家に対する適切な訓練と教育が必要です。

主要な市場促進要因

ペットの飼育増加と獣医療需要の増加

主要な市場課題

データプライバシーとセキュリティへの懸念

主要な市場動向

画像診断におけるAIの統合

目次

第1章 製品概要

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

第5章 アニマルヘルスにおける人工知能（AI）市場の展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • ソリューション別（ハードウェア、ソフトウェア、サービス）
  • フェーズ別（フェーズ I、フェーズ II、フェーズ III、フェーズ IV）
  • 用途別（診断、識別、追跡、監視、その他）
  • タイプ別（ペット動物、生産動物）
  • 地域別
  • 企業別（2024年）
• 市場マップ

第6章 北米のアニマルヘルスにおける人工知能（AI）市場の展望

• 市場規模・予測
• 市場シェア・予測
• 北米：国別分析
  • 米国
  • カナダ
  • メキシコ

第7章 欧州のアニマルヘルスにおける人工知能（AI）市場の展望

• 市場規模・予測
• 市場シェア・予測
• 欧州：国別分析
  • ドイツ
  • 英国
  • イタリア
  • フランス
  • スペイン

第8章 アジア太平洋のアニマルヘルスにおける人工知能（AI）市場の展望

• 市場規模・予測
• 市場シェア・予測
• アジア太平洋：国別分析
  • 中国
  • インド
  • 日本
  • 韓国
  • オーストラリア

第9章 南米のアニマルヘルスにおける人工知能（AI）市場の展望

• 市場規模・予測
• 市場シェア・予測
• 南米：国別分析
  • ブラジル
  • アルゼンチン
  • コロンビア

第10章 中東・アフリカのアニマルヘルスにおける人工知能（AI）市場の展望

• 市場規模・予測
• 市場シェア・予測
• 中東・アフリカ：国別分析
  • 南アフリカ
  • サウジアラビア
  • アラブ首長国連邦

第11章 市場力学

• 促進要因
• 課題

第12章 市場動向と発展

• 最近の動向
• 製品上市
• 合併と買収

第13章 世界のアニマルヘルスにおける人工知能（AI）市場：SWOT分析

第14章 競合情勢

• 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 戦略的提言

第16章 調査会社について・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