마우스 모델 시장 : 모델 유형, 용도, 최종사용자별 - 세계 예측(2025-2030년)

The Mice Model Market was valued at USD 1.61 billion in 2024 and is projected to grow to USD 1.74 billion in 2025, with a CAGR of 8.38%, reaching USD 2.61 billion by 2030.

Exploring how innovative murine systems have evolved to become indispensable assets in contemporary preclinical research frameworks

Advancements in biomedical research have elevated the role of murine systems from simple laboratory specimens to sophisticated platforms that underpin modern therapeutic discovery. Over the past decade, researchers have harnessed the genetic malleability and physiological relevance of mice to model human diseases with ever-increasing fidelity. As a result, these models have become indispensable tools for elucidating molecular pathways, validating drug targets, and assessing safety profiles.

In parallel, the proliferation of novel genetic engineering technologies has expanded the repertoire of available strains, enabling conditional gene expression, humanized immune responses, and tissue-specific knockouts. This convergence of technical innovation and unmet clinical needs has accelerated preclinical workflows, reshaping research priorities across academia, industry, and clinical settings. Consequently, an understanding of the current mice model landscape is essential for stakeholders seeking to navigate competitive pressures and align their research strategies with emergent trends.

How breakthroughs in genome editing and AI-powered phenotyping are redefining the preclinical research paradigm

The landscape of mice model research is undergoing transformative shifts driven by breakthroughs in genome editing, demand for translational accuracy, and ethical pressures to reduce higher-order mammalian use. CRISPR-Cas9 and related gene-editing platforms have democratized the creation of custom knockouts and humanized models, accelerating timelines and lowering costs. These platforms now coexist with advanced breeding strategies to yield genetically engineered mice that replicate complex human disease signatures.

Meanwhile, the integration of high-throughput phenotyping and in vivo imaging has enhanced the resolution at which researchers monitor disease progression and therapeutic efficacy. Artificial intelligence and machine learning algorithms have begun to sift through enormous data sets generated in these studies, offering predictive insights and facilitating the selection of optimal model types.

Ethical considerations and regulatory scrutiny have further influenced the market, prompting the implementation of rigorous welfare standards and incentivizing the development of alternative assays. As stakeholders navigate these dynamic forces, they must remain agile to leverage innovations that improve translational relevance and operational efficiency.

Navigating the ramifications of US trade measures in 2025 and their profound implications on model sourcing and operational resilience

The introduction and escalation of United States tariffs in 2025 have introduced both challenges and recalibration opportunities for the mice model ecosystem. Tariffs on imported scientific consumables and proprietary breeding stock have elevated costs for model generation, compelling many organizations to reassess their supply chains and vendor portfolios. Research institutions and Contract Research Organizations have sought to mitigate financial burdens by consolidating orders, negotiating long-term supply agreements, and investing in localized breeding facilities.

Despite these headwinds, the tariff environment has also galvanized domestic production capacity, as vendors expand in-country vivaria and streamline licensing processes to meet shifting demand. Consequently, collaborative networks have emerged between academic centers and biotechnology firms to share breeding resources and expertise, fostering resilience against trade uncertainties. Companies that adapt by diversifying sourcing strategies and embracing vertical integration stand to enhance supply security while maintaining rigorous standards of reproducibility.

Uncovering how model type intricacies and application-driven requirements converge to shape distinct research pathways

Diverse research imperatives and funding priorities have driven the segmentation of the mice model market into distinct categories that align with specific experimental needs. Inbred mice strains provide reproducible genetic backgrounds ideal for foundational studies, while outbred models introduce heterogeneity that mirrors human populations and supports toxicology assessments. On the genetically engineered front, conditional knockouts offer temporal and tissue-specific control, transgenic lines express exogenous genes for pathway analysis, knockout models elucidate gene function through full gene removal, and humanized systems recapitulate human immune dynamics.

Application segmentation reveals a broad spectrum of disease and therapeutic domains. Behavioral studies leverage specialized strains to probe neurological function, whereas cardiovascular research benefits from hypertensive and atherosclerotic models. Drug discovery and toxicology demand robust systems for early safety screening, and genetic disease research relies on congenital and metabolic disorder models. Immunology experiments are underpinned by humanized mice, infectious disease research exploits susceptibility variants, neurodegenerative inquiries utilize Alzheimer's and Parkinson's transgenics, and oncology investigations draw upon xenograft and syngeneic tumor systems.

End users range from academic and research institutions driving fundamental science to contract research organizations performing outsourced studies. Hospitals and diagnostic centers integrate preclinical findings into translational initiatives, while pharmaceutical and biotechnology companies depend on these models to advance pipelines from candidate identification through pre-IND safety assessment. Each segment presents unique requirements, procurement cycles, and validation standards that inform tailored service offerings.

Evaluating regional research ecosystems and funding priorities that drive differentiated adoption of murine research platforms

Regional dynamics reveal nuanced patterns in research investment, infrastructure, and collaborative networks across the Americas, Europe, Middle East & Africa, and Asia-Pacific. In the Americas, robust funding ecosystems and concentrated biotechnology hubs have cultivated vertically integrated supply chains, enabling rapid adoption of advanced mouse models. North American research consortia and government initiatives foster public-private partnerships that accelerate technology translation.

Across Europe, Middle East & Africa, stringent regulatory frameworks have elevated animal welfare standards, prompting synchronized adoption of refinement techniques and alternative validation methods. Strong academic clusters in Western Europe collaborate with biotech startups to co-develop bespoke strains, while emerging markets in the Middle East and Africa focus on capacity building and training to broaden regional expertise.

The Asia-Pacific region exhibits explosive growth fueled by rising research expenditure, expanding contract research organizations, and government incentives aimed at biotech innovation. China, Japan, and South Korea lead investment in state-of-the-art vivarium infrastructure, whereas Southeast Asian nations emphasize cross-border partnerships and talent development to meet escalating demand for translational models.

Mapping the competitive ecosystem defined by technological leadership and strategic alliances driving murine model innovation

The competitive landscape features specialized vivarium operators, genetic engineering pioneers, and comprehensive service providers that differentiate through technology integration, portfolio breadth, and global reach. Leading laboratory animal suppliers have expanded their genetic archives to encompass rare knockout and humanized lines, complemented by contract breeding services that offer rapid scalability and customized colony management.

Innovators of genome-editing tools have forged partnerships with pharmaceutical giants to co-develop disease models aligned with pipeline priorities, while full-service contract research organizations bundle model provision with in vivo efficacy and toxicological evaluation. Strategic collaborations between academic institutions and commercial entities have accelerated the commercial deployment of new strains, deepening the bench-to-bedside integration.

Companies that invest in digital platforms for colony management and integrate imaging-based phenotyping services have gained a competitive edge by unlocking data-rich insights and fostering reproducibility. As intellectual property considerations intensify, players with robust patent portfolios and licensing frameworks command premium positioning, particularly for next-generation humanized and conditional knockout models.

Outlined strategic directives empowering stakeholders to enhance resilience and accelerate preclinical model innovation

Industry leaders should prioritize investments in localized breeding infrastructure to mitigate trade-related risks and ensure uninterrupted supply. Establishing regional vivarium hubs with scalable capacity will reduce lead times and enhance responsiveness to emergent research projects. Meanwhile, fostering collaborations with genome-editing specialists can streamline the development of bespoke models that match therapeutic pipelines' unique targets.

Organizations must also capitalize on digitalization by adopting cloud-based colony management systems and AI-driven phenotyping platforms. These tools not only bolster data integrity but also accelerate decision-making processes through predictive analytics. Concurrently, proactive engagement with regulatory authorities and ethics committees will help organizations anticipate evolving welfare standards and streamline model approval pathways.

Finally, corporate research divisions, academic centers, and contract organizations should coalesce around consortia that share best practices, breeding resources, and phenotypic databases. Such collaborative networks will dilute operational costs, spur innovation, and cultivate a resilient infrastructure capable of adapting to geopolitical and technological shifts.

Detailing a robust hybrid research framework leveraging primary interviews and comprehensive secondary data validation

Our analysis integrates a multi-layered research methodology composed of primary and secondary data collection, rigorous validation, and triangulation. Initially, secondary sources were examined, encompassing peer-reviewed literature, patent databases, regulatory filings, and industry white papers to establish foundational context and identify emerging trends.

Subsequently, in-depth interviews with key opinion leaders across academia, contract research organizations, and biotechnology firms provided qualitative insights into operational challenges, adoption drivers, and innovation roadblocks. Data gleaned from these discussions underwent cross-verification against commercial intelligence platforms, vendor catalogs, and technical specifications to ensure consistency.

Quantitative data points were subjected to triangulation through comparative analysis of company disclosures, public grant databases, and import-export records. This multi-pronged approach enabled a balanced perspective that accounts for both macro-level influences and micro-level decision criteria. Findings were then synthesized into coherent narratives that reflect current market realities, future inflection points, and actionable intelligence.

Synthesizing insights on collaborative innovation and strategic foresight shaping the future of murine research models

Mice models stand at the confluence of scientific innovation, ethical considerations, and commercial imperatives. The evolving landscape of genome editing, digital phenotyping, and regional investment strategies underscores a market in flux-one characterized by both disruption and opportunity. Stakeholders who proactively address supply-chain vulnerabilities and adopt emerging technologies will be well-positioned to lead the next wave of preclinical breakthroughs.

The cumulative impact of trade policies, shifting funding landscapes, and rising demand for translational fidelity necessitates an agile approach to portfolio planning and infrastructure development. By aligning operational capabilities with cutting-edge scientific advances and regulatory requirements, organizations can ensure sustained relevance and competitive differentiation.

In sum, the trajectory of mice model research hinges on collaboration, innovation, and strategic foresight. Those who master these imperatives will unlock new avenues for therapeutic discovery, augment their research efficiency, and ultimately contribute to meaningful advancements in human health.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

• 4.1. Introduction
• 4.2. Market Sizing & Forecasting

5. Market Dynamics

• 5.1. Expansion of humanized mouse models to improve immuno-oncology therapeutic testing and translational accuracy
• 5.2. Adoption of 3D bioprinted mouse organoids to enhance preclinical drug safety and toxicity studies
• 5.3. Growth of microbiome-modified mouse models to investigate gut-brain axis interactions in neurodegenerative research
• 5.4. Rising demand for aged mouse models to better mirror geriatric disease phenotypes in cardiovascular research
• 5.5. Utilization of high-throughput phenotyping platforms for large-scale mouse genetic screening in precision medicine
• 5.6. Integration of artificial intelligence-driven image analysis in mouse behavioral assays for neuropsychiatric drug discovery
• 5.7. Development of ultra-flexible custom breeding programs for transgenic and knockout mouse lines to meet specialized research needs

6. Market Insights

• 6.1. Porter's Five Forces Analysis
• 6.2. PESTLE Analysis

7. Cumulative Impact of United States Tariffs 2025

8. Mice Model Market, by Model Type

• 8.1. Introduction
• 8.2. Genetically Engineered Mice Models
  • 8.2.1. Conditional Knockout Models
  • 8.2.2. Humanized Mice Models
  • 8.2.3. Knockout Models
  • 8.2.4. Transgenic Models
• 8.3. Inbred Mice Models
• 8.4. Outbred Mice Models

9. Mice Model Market, by Application

• 9.1. Introduction
• 9.2. Behavioral Studies
• 9.3. Cardiovascular Diseases
• 9.4. Drug Discovery & Toxicology
• 9.5. Genetic Disease Research
• 9.6. Immunology
• 9.7. Infectious Diseases
• 9.8. Metabolic Disorders
• 9.9. Neurology & Neurodegenerative Diseases
• 9.10. Oncology Research

10. Mice Model Market, by End User

• 10.1. Introduction
• 10.2. Academic & Research Institutions
• 10.3. Contract Research Organizations (CROs)
• 10.4. Hospitals & Diagnostic Centers
• 10.5. Pharmaceutical & Biotechnology Companies

11. Americas Mice Model Market

• 11.1. Introduction
• 11.2. United States
• 11.3. Canada
• 11.4. Mexico
• 11.5. Brazil
• 11.6. Argentina

12. Europe, Middle East & Africa Mice Model Market

• 12.1. Introduction
• 12.2. United Kingdom
• 12.3. Germany
• 12.4. France
• 12.5. Russia
• 12.6. Italy
• 12.7. Spain
• 12.8. United Arab Emirates
• 12.9. Saudi Arabia
• 12.10. South Africa
• 12.11. Denmark
• 12.12. Netherlands
• 12.13. Qatar
• 12.14. Finland
• 12.15. Sweden
• 12.16. Nigeria
• 12.17. Egypt
• 12.18. Turkey
• 12.19. Israel
• 12.20. Norway
• 12.21. Poland
• 12.22. Switzerland

13. Asia-Pacific Mice Model Market

• 13.1. Introduction
• 13.2. China
• 13.3. India
• 13.4. Japan
• 13.5. Australia
• 13.6. South Korea
• 13.7. Indonesia
• 13.8. Thailand
• 13.9. Philippines
• 13.10. Malaysia
• 13.11. Singapore
• 13.12. Vietnam
• 13.13. Taiwan

14. Competitive Landscape

• 14.1. Market Share Analysis, 2024
• 14.2. FPNV Positioning Matrix, 2024
• 14.3. Competitive Analysis
  • 14.3.1. Applied StemCell, Inc.
  • 14.3.2. Aragen Life Sciences Ltd.
  • 14.3.3. Biocytogen Boston Corporation
  • 14.3.4. Charles River Laboratories International, Inc.
  • 14.3.5. Creative Biolabs
  • 14.3.6. Crown Bioscience by JSR Life Sciences, LLC
  • 14.3.7. Cyagen US Inc. by PolyGene AG
  • 14.3.8. Envigo by Inotiv, Inc.
  • 14.3.9. GenOway
  • 14.3.10. Harbour BioMed
  • 14.3.11. inGenious Targeting Laboratory, Inc.
  • 14.3.12. Janvier Labs
  • 14.3.13. Marshall BioResources
  • 14.3.14. MD Biosciences
  • 14.3.15. Mirimus, Inc.
  • 14.3.16. Ozgene Pty Ltd.
  • 14.3.17. PhoenixBio Co., Ltd.
  • 14.3.18. Shanghai Model Organisms Center, Inc.
  • 14.3.19. Taconic Biosciences, Inc.
  • 14.3.20. The Jackson Laboratory
  • 14.3.21. TransCure bioServices
  • 14.3.22. Translational Drug Development, LLC
  • 14.3.23. Urosphere SAS
  • 14.3.24. XenOPAT SL by Bellvitge Biomedical Research Institute

15. ResearchAI

16. ResearchStatistics

17. ResearchContacts

18. ResearchArticles

19. Appendix