This statistic displays the total number of animals used in scientific research in the European Union from 2015 to 2022, including only animals used for the first time each year. In 2022, some 8.4 million animals were used in scientific research in all EU member states and Norway, an increase of over 400 thousand compared to the previous year.

This statistic displays the share of animals used in scientific research in the European Union countries in 2019, by severity of use. Most of the animals used in the EU were reported to have undergone mild use. For nine percent of animals the use was classified as severe.

Despite animal testing being a controversial topic for many years, it is still widely used globally to assess the safety of products and test the efficacy of new treatments and products. In 2020, the United States was the world’s largest user of animals in research and testing, with around 20 million animals used research and testing, followed by China where it is estimated that around 16 million animals were used in research and testing in that year. Animal testing is used especially in the medical, cosmetic, and chemical industries.

Animal Testing in the EU

The European Union also reported some 9.4 million animals used research and testing as of 2020. Basic research, and translational and applied research are the two leading purposes of animal testing in the European Union. Mice represent the most commonly used animal in research and testing in the EU, representing almost half of all animals used in research and testing, followed by fish and rats.

Animal Testing in Great Britain

Animal testing in Great Britain was most common in basic scientific research on the nervous system and the immune system, and most procedures on animals for scientific experiments in that year in Great Britain were conducted by universities and medical schools. As in the EU, mice were the most commonly used animals in research and testing, followed by domestic fowl and rats.

This statistic displays the share of animals used in scientific research in the European Union countries in 2019, by origin (place of birth). Most of the used animals in the EU were born at a registered breeder inside the European Union.

In 2019, 797,546 animals were used for research in research facilities in the United States. This is an increase from the previous year, when about 780,070 animals were used for research in the country.

Global Animals Used in Research and Testing market size 2025 was XX Million. Animals Used in Research and Testing Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.

This statistic displays the share of purposes for scientific research on animals in the 27 European Union countries (including Norway) in 2019. The main purpose for testing on animals was for basic research, with some 45 percent.

The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

This statistic displays the number of animals used in scientific research in Ireland in 2023. Mice were the most commonly used animal, accounting for nearly 87 thousand uses, followed by rats at more than eight thousand.

The graph shows the citations of ^'s papers published in each year.

Animal Health Knowledge Graphs Market Outlook

According to our latest research, the global Animal Health Knowledge Graphs market size in 2024 is valued at USD 1.28 billion, with a robust compound annual growth rate (CAGR) of 17.2% projected from 2025 to 2033. By 2033, the market is forecasted to reach approximately USD 4.72 billion. The primary growth factor driving this expansion is the increasing adoption of artificial intelligence and data-driven decision-making in veterinary care, livestock management, and pharmaceutical research, which is revolutionizing the animal health industry on a global scale.

The significant growth in the Animal Health Knowledge Graphs market is primarily attributed to the rising awareness of animal health and the increasing complexity of veterinary data. As the volume of data generated from veterinary clinics, livestock farms, diagnostic laboratories, and research institutes continues to surge, the need for advanced knowledge management solutions has become paramount. Knowledge graphs, with their ability to integrate, relate, and contextualize vast datasets, are enabling stakeholders to derive actionable insights and improve outcomes in disease surveillance, drug discovery, and livestock management. Additionally, the growing prevalence of zoonotic diseases and the need for real-time data analysis and sharing across the animal health ecosystem are further accelerating the adoption of knowledge graph technologies.

Furthermore, the market is benefitting from the rapid digital transformation within the animal health sector. The integration of advanced analytics, machine learning, and natural language processing with knowledge graphs is enhancing the ability to predict disease outbreaks, optimize drug development pipelines, and support evidence-based veterinary practices. Pharmaceutical companies and research institutes are increasingly leveraging these technologies to accelerate research and development, streamline regulatory compliance, and improve the efficacy and safety of veterinary medicines. The convergence of big data, cloud computing, and semantic web technologies is creating new opportunities for innovation and collaboration among stakeholders in the animal health value chain.

Another key growth driver is the increasing demand for precision livestock management and improved animal welfare standards. Livestock farmers are adopting knowledge graph solutions to monitor animal health, optimize nutrition and breeding programs, and ensure compliance with regulatory requirements. These solutions enable real-time tracking of animal health parameters, early detection of diseases, and efficient management of veterinary records. As governments and international organizations continue to emphasize the importance of food safety and biosecurity, the adoption of advanced knowledge management platforms is expected to further accelerate, contributing to the sustained growth of the Animal Health Knowledge Graphs market over the forecast period.

From a regional perspective, North America currently dominates the global Animal Health Knowledge Graphs market, driven by the presence of leading technology providers, advanced veterinary infrastructure, and a strong focus on innovation. Europe follows closely, supported by robust government initiatives and a well-established animal health industry. The Asia Pacific region is emerging as a high-growth market, fueled by increasing investments in animal health technology, rising livestock populations, and growing awareness of zoonotic diseases. Latin America and the Middle East & Africa are also witnessing steady growth, supported by improving veterinary care standards and expanding digital infrastructure. Each region presents unique opportunities and challenges, shaping the overall dynamics of the global market.

Component Analysis

The Animal Health Knowledge Graphs market is segmented by component into software and services, each playing a critical role in the overall ecosystem. The software segment encompasses platforms and tools designed to enable the creation, visualization, and management of knowledge graphs, often integrating advanced analytics, machine learning, and semantic web technologies. The increasing adoption of cloud-based and AI-powered software solutions is driving this segment’s growth, as stakeholders seek scalable and flexible platforms that can handle large volumes of heterogeneous data. The ability of software solutions to provide real-time insights,

This statistic displays the number of animals used in scientific research in the European Union (and Norway) in 2022, by class of animal. In that year, around ************ mice were used in scientific research in the EU, while around *** thousand rats were used.

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