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시장보고서
상품코드
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바이오뱅크 시장 평가 및 분석 : 유형별, 용도별, 샘플 유형별, 지역별 (2024-2031년)Biobanking Market By Type (Equipment, Consumables, Services, Software), By Application (Life Science Research, Regenerative Medicine), By Sample Type (Blood Products, Human Tissues, Nucleic Acids) & Region For 2024-2031 |
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유전체학, 맞춤형 의료, 바이오테크놀로지의 중요성이 높아짐에 따라 연구개발에 필요한 고품질의 생물학적 샘플에 대한 수요가 증가하고 있습니다. 또한, 공공 및 민간 부문의 자금 지원 증가, 대규모 바이오뱅크의 설립,보관 및 보존 기술의 발전이 시장의 성장에 기여하고 있습니다. 또한 빅데이터 및 인공지능과의 바이오뱅크 통합을 통해 데이터 분석 및 활용의 효과를 높이는 것이 업계의 성장에 중요한 요소입니다. 바이오뱅크 시장은 2023년에 10억 6,546만 달러의 매출을 초과하고, 2031년까지 21억 1,762만 달러에 이를 것으로 예상됩니다.
또한 최신 바이오뱅크는 자동화 및 디지털화를 강화하고 있습니다. 동결 보존 및 분자 생물학 기술의 발전은 저장된 생물 자원의 품질과 지속성을 향상시켰습니다. 향상된 생물정보학 및 데이터 분석 기술은 연구 및 임상 응용을 위해 바이오뱅크 샘플의 효율적인 활용을 가능하게 합니다. 윤리적 기준 및 데이터 보호를 보장하는 규제 프레임워크의 발전은 대중의 신뢰와 참여를 증가시키고 있습니다. 이 시장은 2024년부터 2031년까지의 연평균 성장률(CAGR)이 9.89%로 성장할 전망입니다.
바이오뱅크 시장의 정의 및 개요
최신 바이오뱅크는 시료의 수집, 보관, 데이터 관리 효율성을 높이기 위해 자동화 및 디지털화를 강화하고 있습니다. 동결 보존 및 분자 생물학 기술의 발전은 저장된 생물학적 샘플의 품질과 내구성을 개선했습니다. 향상된 생물정보학 및 데이터 분석 기술은 연구 및 임상 적용에서 바이오뱅크 샘플의 효과적인 활용을 촉진시킵니다. 이러한 상황의 수렴으로 인해 바이오 뱅크는 과학 연구와 건강 관리의 성과를 향상시키는 중요한 요소가되었습니다. 바이오뱅크의 미래의 가능성은 헤아릴 수 없고, 맞춤형 의료, 유전학, 공중위생에 중요한 의미를 가지는 변혁적인 것입니다. 인공지능 및 빅데이터 분석과 같은 신기술의 통합은 바이오마커 탐지 및 맞춤형 치료 설계 능력을 더욱 향상시킬 것입니다. 또한 바이오뱅크는 글로벌 협력을 촉진하고 질병 감시를 강화하며 예방 의료 조치를 통해 보다 효과적이고 맞춤화된 의료 개입을 가능하게 합니다.
유전체학과 정밀 의학의 발전은 바이오뱅크 시장 성장의 주요 요인입니다. 이러한 분야는 건강과 질병에 대한 유전적 변이의 영향을 더 잘 이해하기 위해 고품질의 생물학적 샘플을 필요로 합니다. 바이오뱅크는 이러한 샘플을 보관하고 관리하는 데 필요한 인프라를 제공하여 연구 및 치료 목적으로 활용할 수 있도록 합니다.
맞춤형 치료법의 개발은 특정 유전자 프로파일을 기반한 치료를 목표로 하고 있습니다. 이는 광범위하고 특성화 된 생물학적 샘플에 대한 연구가 필요합니다. 차세대 염기서열 분석(NGS) 및 기타 유전체학 기술의 발전은 유전 분석의 비용을 절감시키고 유전 분석을 가속화하였습니다. 이러한 기술들이 생성하는 방대한 양의 데이터는 잘 분석된 생물학적 샘플과 연계되어야 하며, 바이오뱅크는 대규모 유전체학 연구를 지원하는 데 중요한 역할을 합니다.
또한, 바이오뱅크는 다양한 인구 집단의 대규모 샘플에 대한 접근을 제공함으로써 유전체 연구 및 질병 지식을 향상시킵니다. 이는 질병의 유전적 기초를 파악하고 바이오마커를 식별하여 예측 모델을 개발하는데 필수적입니다. 유전체 연구가 확대됨에 따라 강력한 바이오뱅크 인프라의 중요성이 커지고 있습니다. 정밀 의학은 환자의 건강 상태를 완전히 파악하기 위해 유전체 데이터와 임상 정보를 통합해야합니다. 바이오뱅크는 종종 생물학적 샘플을 임상데이터와 연계하여 연구자들이 유전 정보를 건강 결과와 연관시킬 수 있게 합니다. 이러한 통합은 맞춤형 치료 프로그램 개발에 필수적이며 바이오뱅크 서비스에 대한 수요를 높입니다.
더불어, 유전체학과 정밀 의학의 발전은 강력한 규제와 윤리적 프레임워크를 필요로 합니다. 이런 프레임워크는 바이오뱅크에 대한 사회적 신뢰와 참여를 개선하고 사용 가능한 샘플 풀을 확장하며 시장을 강화합니다. 유전체학 및 정밀 의학을 중심으로 한 글로벌 협력 및 컨소시엄은 협업과 데이터 공유를 촉진하며, 종종 바이오뱅크를 통해 자원을 공유합니다. 이와 같은 공동 노력은 대규모 조사와 신속한 발견이 가능해져 개선된 바이오뱅크 시스템에 대한 필요성을 더욱 증가시킵니다. 암, 당뇨병 및 심혈과 질환과 같은 만성 질환의 증가하는 유병률은 새로운 치료법 연구 및 개발을 지원하기 위해 광범위한 바이오뱅크를 필요로 합니다.
유전체학과 정밀 의학에 대한 관심이 높아짐에 따라 영리기관과 연구기관 모두에서 많은 투자를 유발했습니다. 이러한 투자는 바이오뱅크 시설의 설립 및 확장을 지원하여 최신 기술과 모범 사례를 갖추고 변화하는 분야의 요구 사항을 충족할 수 있도록 합니다.
고품질 및 표준화된 샘플을 보장하는 것은 연구의 무결성과 재현성을 유지하는데 필수적입니다. 샘플의 품질이 낮으면 연구 결과의 재현성이 떨어져 과학적 신뢰도롤 저하시킬 수 있습니다. 또한 잘못된 관리가 이루어지면 실험 결과에 편차와 편향이 생겨 결과의 재현성을 유지하기 어려워 집니다. 그리고 잘못된 결론이 도출되고 과학적 지식의 발전을 방해할 수 있습니다.
게다가 바이오뱅크는 샘플의 무결성과 안정성을 장기간에 걸쳐 보증해야 합니다.이를 위해 샘플의 온도, 습도 및 빛 노출 등과 같은 보관 조건을 엄격하게 관리 해야 합니다. 적절한 보관 조건을 유지하지 못하면 샘플이 열화되어 분석에 부적합해질 수 있습니다. 다양한 바이오뱅크 간의 샘플 수집 및 처리의 표준화 부족은 실험식 간의 결과의 편차를 초래할 수 있으며, 이는 결과의 비교 및 통합을 어렵게 합니다.
또한 규제 준수 및 인증은 바이오뱅크의 중요한 부분이며 바이오뱅크는 윤리적 기준과 품질 보증을 축족하기 위해 엄격한 규제 및 인증 기준을 준수해야 합니다. 그러나 비표준화된 프로세스는 이러한 기준을 충족하는 데 어려움을 초래할 수 있으며, 그 결과 자금 조달이나 다른 연구 기관 간 협력이 제한될 가능성이 있습니다. 샘플 품질이 낮거나 일관성이 부족하면 바이오뱅크의 신뢰도가 감소 할수 있으며, 이는 기증자 참여 감소, 연구자들의 관심 저하, 자금 및 지원부족으로 이어질 수 있습니다.
샘플 수집 및 처리의 세부 사항을 포함한 정확한 메타데이터 기록은 데이터 추적을 위해 필수적입니다. 그러나 기록 관리의 인적오류는 샘플데이터의 신뢰성을 떨어뜨려 연구 결과의 정확성에 부정적인 영향을 미칠 수 있습니다. 그리고 샘플 품질 검증 및 분석 방법의 표준화를 위해 승인된 표준 물질과 표준품을 이용하는 것이 중요합니다.
The rising importance of genomics, personalized medicine, and biotechnology has raised the demand for high-quality biological samples, which are required for research and development. The rise in chronic diseases, combined with the growing need for personalized medicines, has increased the demand for biobanking. Furthermore, increased funding from both the public and commercial sectors, as well as the formation of large-scale biobanks and advances in storage and preservation technology, have all contributed to the market's growth. The integration of biobanking with big data and artificial intelligence for more effective data analysis and usage is also critical to the industry's growth. The Biobanking Market is expected to surpass a revenue of USD 1065.46 Million in 2023 and reach USD 2117.62 Million by 2031.
Furthermore, Modern biobanks incorporate enhanced automation and digitization to improve the efficiency of sample collection, storage, and data management. Cryopreservation and molecular biology procedures have advanced, improving the quality and endurance of stored biological resources. Furthermore, improved bioinformatics and data analytics enable more effective use of biobanked samples for research and clinical applications. Regulatory frameworks have also evolved to ensure ethical standards and data protection, resulting in increased public trust and participation in biobanking efforts. The market is expected to rise with a projectedCAGR of 9.89% from 2024 to 2031.
Biobanking Market: Definition/ Overview
Modern biobanks incorporate enhanced automation and digitization to improve the efficiency of sample collection, storage, and data management. Cryopreservation and molecular biology procedures have advanced, improving the quality and endurance of stored biological resources. Furthermore, improved bioinformatics and data analytics enable more effective use of biobanked samples for research and clinical applications. Regulatory frameworks have also evolved to ensure ethical standards and data protection, resulting in increased public trust and participation in biobanking efforts. This convergence of circumstances establishes biobanking as a critical component in increasing scientific research and healthcare outcomes. Biobanking's future potential is immense and transformational, with significant implications for personalized medicine, genetics, and public health. As biobanks expand, they will increasingly support large-scale research projects by supplying high-quality, diverse biological samples that allow for deeper insights into disease mechanisms, genetic variations, and therapeutic responses. Integration of new technologies such as artificial intelligence and big data analytics will improve the ability to detect biomarkers and design targeted treatments. Furthermore, biobanking can promote global cooperation, increase illness surveillance, and contribute to preventive healthcare measures, resulting in more effective and personalized medical interventions.
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The increasing advancements in genomics and precision medicine significantly drive the expansion of the Biobanking Market. Genomics and precision medicine rely on high-quality biological samples to better understand genetic variants and their consequences for health and illness. Biobanks provide the required infrastructure to store and maintain these samples, making them available for research and therapeutic uses.
The development of targeted therapeutics aims to customize treatments to particular genetic profiles. Extensive research into the genetic basis of diseases is necessary, which is dependent on access to a broad and well-characterized set of biological samples held in biobanks. As more tailored medicines are created, the demand for biobanking services is increasing. Advances in sequencing technologies, such as next-generation sequencing (NGS) and other genomic technologies, have significantly lowered the cost and duration of genetic analysis. Massive amounts of data generated by these technologies must be linked to properly annotated biological samples. Biobanks play an important part in this process because they provide the samples and data required for large-scale genomic studies.
Furthermore, biobanks enhance genomic research and disease knowledge by providing access to large cohorts of samples from a variety of populations. This assistance is critical for determining the genetic basis of diseases, finding biomarkers, and creating predictive models. As genomic research expands, a strong biobanking infrastructure becomes increasingly important. Precision medicine requires the integration of genomic data and clinical information to provide full insights into patient health. Biobanks frequently link biological samples to clinical data, allowing researchers to correlate genetic information with health outcomes. This integration is critical for the development of tailored treatment programs, which increases demand for biobanking services.
Additionally, advances in genomes and precision medicine frequently require regulatory and ethical support. Improved regulatory and ethical frameworks ensure that biological samples are collected, stored, and used appropriately. These frameworks improve public trust and involvement in biobanking, which expands the available sample pool and strengthens the market. Global collaborations and consortia focused on genomics and precision medicine make collaboration and data sharing easier, and they frequently rely on biobanks to share resources. These joint efforts enable large-scale investigations and rapid discoveries, which increases the demand for improved biobanking systems. The rising prevalence of chronic diseases such as cancer, diabetes, and cardiovascular ailments highlights the need for broad biobanking to enable research and development of new treatments. The change to customized medicine, which is primarily reliant on genetic and molecular data, demands well-maintained biobanks to supply the essential biological materials.
The increased interest in genomes and precision medicine has prompted significant investment from both commercial and research institutions. This investment supports the creation and growth of biobanking facilities, ensuring that they are equipped with the most up-to-date technologies and best practices to suit the field's evolving demands.
Irreproducible research findings might be the result of poor sample quality, weakening the credibility of scientific study. Variability and bias in experimental results can occur when samples are contaminated, damaged, or mismanaged during collection, processing, or storage, making it difficult for other researchers to duplicate the findings. Poor sample quality has the potential to jeopardize the integrity of linked data, including clinical, genomic, and omics data. Inaccurate or incomplete data combined with low-quality samples can lead to incorrect conclusions, impeding the growth of scientific knowledge.
Furthermore, biobanks must ensure sample integrity and stability throughout time, as they are tasked with storing samples for extended periods of time, perhaps decades. To guarantee that samples remain viable and representative of the original specimen, storage parameters must be strictly controlled, such as temperature, humidity, and light exposure. Failure to maintain correct storage conditions might cause sample degradation, making them unsuitable for downstream analysis. Inter-laboratory variability might result from a lack of standardization in sample collecting and processing techniques amongst biobanks. variations in the procedures, protocols, and equipment employed by different biobanks might cause variations in sample quality, making it difficult to compare results or combine data from various research.
Additionally, regulatory compliance and accreditation are critical parts of biobanking, with biobanks subject to regulatory restrictions and accrediting standards to ensure they follow ethical, legal, and quality assurance norms. Non-standardized processes might make it difficult to meet regulatory standards and acquire accreditation, limiting funding prospects and collaborations with other research institutes. Researchers rely on biobanks to offer high-quality samples for their studies; yet a lack of well-characterized samples due to quality issues or discrepancies in sample processing might hamper research efforts, particularly for uncommon diseases or specific patient populations. The success of biobanking efforts is dependent on sustaining stakeholder trust, which includes donors, researchers, doctors, and regulatory agencies. Poor sample quality and lack of uniformity can reduce trust in the trustworthiness and utility of biobank resources, leading to decreasing participation, financing, and support.
Different collection techniques within biobanks, or even within the same biobank over time, might result in changes in sample quality. Sample handling, storage conditions, and processing processes all have an impact on biological specimen integrity. Maintaining accurate and thorough documentation of sample metadata, such as collection details, storage conditions, and quality control parameters, is critical for data integrity and traceability. However, human record-keeping procedures and data input errors can jeopardize the accuracy of sample data. The availability of approved reference materials and standards for validating analytical methods and monitoring assay performance is critical for maintaining data correctness and comparability. However, limited access to well-characterized reference materials can stymie efforts to standardize sample quality assessment and calibration protocols.
The increasing demand for clinical research is fuelling growth in the Biobanking Market. Biobanks serve an important role in precision medicine projects by allowing researchers access to large-scale collections of well-characterized clinical samples such as tissues, blood, and biological fluids, as well as accompanying clinical data. These resources allow for the identification of disease biomarkers, the classification of patient populations, and the development of targeted medicines, increasing the demand for high-quality clinical samples held in biobanks.
Biobanks facilitate biomarker development and validation in clinical research, which is critical for improving illness diagnosis, monitoring therapy efficacy, and predicting patient outcomes. Diverse patient samples are made available for biomarker identification and validation investigations, which helps to translate basic research discoveries into therapeutic applications. Furthermore, biobanks provide researchers and pharmaceutical companies with patient-derived samples for preclinical investigations and biomarker-driven clinical trials.
Furthermore, using well-characterized clinical samples from biobanks, researchers can assess the safety, efficacy, and pharmacokinetics of investigational drugs, identify patient subgroups likely to benefit from treatment, and optimize trial design, thereby improving drug development efficiency and accelerating approval timelines. Biobanks also enhance disease modelling and personalized medicine techniques by allowing researchers access to patient-derived samples to study disease mechanisms, identify therapeutic targets, and design patient-specific treatment regimens. Using human tissues, cell lines, and bodily fluids from biobanks, researchers can mimic disease phenotypes in vitro and test medication responses in patient-derived models, allowing for individualized treatment selection and optimization based on specific patient features.
Additionally, the growing demand for clinical research is driving increased collaboration across biobanks, research institutions, and healthcare organizations to improve data exchange, standardize research protocols, and stimulate cross-disciplinary partnerships. Using shared resources and expertise, researchers can get access to larger and more diversified sample collections, overcome resource constraints, and accelerate scientific discoveries, thereby increasing our understanding of disease pathophysiology and patient treatment. Biobanks follow regulatory criteria and quality assurance standards to assure the ethical collection, storage, and dissemination of clinical samples. Compliance with laws such as Good Clinical Practice (GCP) and the Health Insurance Portability and Accountability Act (HIPAA) boosts confidence among researchers, sponsors, and regulatory bodies, promoting the expansion of the biobanking sector.
The increased emphasis on personalized healthcare, which seeks to provide tailored medical treatments based on unique patient characteristics, increases the demand for high-quality clinical samples and molecular data. Biobanks allow researchers and doctors to examine patient-derived samples for genetic variants, biomarker profiles, and therapy responses, resulting in more accurate diagnoses and focused medicines. High-throughput sequencing, omics technologies, and bioinformatics tools have revolutionized clinical research and biomarker identification. Biobanks use these technologies to undertake extensive molecular profiling of patient samples, detect disease signs, and predict therapy responses, fostering innovation and growth in the biobanking industry.
The rising utilization of nucleic acids and cell lines in various research and clinical applications is expected to drive the growth of the Biobanking Market. High-throughput sequencing technologies have brought genomic research into the modern era, allowing for complete examination of DNA and RNA materials. Nucleic acids extracted from biobank specimens provide valuable resources for large-scale genomic investigations aiming at understanding disease genetics, finding biomarkers, and discovering therapeutic targets. As genomic research expands, there will be a large increase in demand for high-quality nucleic acid samples from biobanks.
Furthermore, nucleic acid samples are critical in precision medicine initiatives because they allow for the detection of genetic variants linked to disease susceptibility, therapeutic response, and treatment outcomes. Biobanks provide researchers and clinicians with access to vast libraries of well-annotated nucleic acid samples, which enables population-based studies and individualized healthcare interventions. Biobanks aid liquid biopsy research by giving access to archived blood samples and other biological fluids gathered over time from people with cancer and other disorders. Well-characterized nucleic acid samples from biobanks speed up the development and validation of liquid biopsy assays for clinical usage. Cell lines produced from biobank specimens are valuable tools for researching cellular physiology, disease processes, and medication responses in vitro.
Additionally, advances in stem cell biology, genome editing, and tissue engineering have expanded the use of cell lines in regenerative medicine, drug discovery, and disease modelling. Biobanks are repositories of verified and quality-controlled cell lines that help researchers develop cell-based therapeutics for a variety of ailments. Cell lines produced from biobank specimens are commonly used in pharmaceutical research and development to screen drug candidates, investigate pharmacological mechanisms of action, and predict drug toxicity.
Biobanks provide researchers and drug developers with diverse cell line collections covering various tissue types, disease states, and genetic origins, thereby expediting drug development, lowering costs, and increasing preclinical model predictability. Cell lines are also used in regenerative medicine applications such cell treatment, tissue engineering, and organ transplantation. Biobanks are critical in producing stem cell lines, induced pluripotent stem cells (iPSCs), and other cell types for regenerative medicine research and therapeutic use. The ability to bank and disseminate well-characterized and quality-controlled cell lines is critical for improving regenerative medicine therapy, driving market growth in this segment.
Biobanking Market
Report Methodology
Country/Region-wise
North America's advanced healthcare infrastructure and robust research funding and investment ecosystem create an enabling environment for biobanking activities. North America is distinguished by cutting-edge healthcare facilities, such as hospitals, clinics, and research institutions, which are outfitted with advanced diagnostic and treatment technologies, providing the infrastructure for conducting biomedical research and clinical studies that require access to patient samples.
The region's interconnected healthcare ecosystem promotes collaboration among healthcare providers, research institutions, and biobanks, allowing clinicians to easily collect and bank biospecimens from patients enrolled in clinical trials or routine healthcare visits. This agreement guarantees a consistent supply of high-quality samples for biobanking programs.
Furthermore, many healthcare organizations in North America have taken a patient-centric approach, encouraging patient participation in research activities, such as sample donation for biobanking purposes. Patient engagement initiatives, such as informed consent processes, community outreach programs, and patient advocacy groups, promote awareness of biobanking and facilitate sample collection efforts. The widespread adoption of electronic health records (EHR) in North America facilitates the integration of clinical and research data, streamlining sample collection and data annotation processes. Biobanks can leverage EHR systems to identify eligible patients, track sample provenance, and link molecular data with clinical outcomes, thereby enhancing the utility of biobank resources for research purposes.
Additionally, regarding research funding and investment, substantial funding is allocated by government agencies in North America, such as the National Institutes of Health (NIH) in the United States and the Canadian Institutes of Health Research (CIHR) in Canada, to support biomedical research and biobanking initiatives. These agencies' research grants and cooperative agreements make it possible to build and expand biobanks, fund infrastructure development, sample collection initiatives, and conduct research projects that use biobank resources. Furthermore, North America receives significant private funding from venture capital firms, philanthropic organizations, and biotechnology corporations interested in supporting biobanking infrastructure and research. Private investment enables biobanks to update their facilities, implement cutting-edge technology, and expand sample collections in response to new research objectives and market demands.
Collaboration between biobanks and pharmaceutical, biotechnology, and diagnostic industries in North America promotes innovation and speeds translational research initiatives. Industry partners may give financial support, technical experience, and access to specialized resources, thereby increasing the value proposition of biobank resources and accelerating the development of novel diagnostics, treatments, and personalized medicine strategies. Furthermore, collaboration between biobanks and academic institutions in North America encourages interdisciplinary research collaborations and knowledge sharing. Academic collaborations provide access to research skills, specialized equipment, and training opportunities, which improve biobank activities and advance scientific discovery in fields such as genomics, precision medicine, and regenerative therapies.
The increasing healthcare spending in the Asia-Pacific region enables investment in healthcare infrastructure, such as the establishment and expansion of biobanking facilities, which require sophisticated infrastructure for sample collection, processing, storage, and distribution, as well as specialised equipment and personnel. Higher healthcare spending allows for the development of cutting-edge biobanking infrastructure, hence supporting market growth.
Healthcare expenditure enables higher funding allocations for research and development (R&D) activities in the Asia-Pacific region, with academic institutions, research organizations, and pharmaceutical companies receiving more resources to conduct biomedical research, drug discovery, and clinical trials. Biobanks play an important role in supporting R&D operations by providing high-quality biological samples, hence generating demand for biobanking services and solutions. The growth of healthcare access in the Asia-Pacific area, driven by increased healthcare spending, creates a growing demand for healthcare solutions suited to individual patients' requirements, including personalized medicine approaches.
Furthermore, biobanks support personalized medicine initiatives by providing biological samples for genomic research, biomarker identification, and pharmaceutical development, which drives market demand. Government initiatives and policies in the Asia-Pacific region encourage healthcare innovation, research collaboration, and technological adoption, with many countries providing incentives and funding to support biobanking infrastructure development, research partnerships, and regulatory compliance. Initiatives like China's Precision Medicine Initiative and Singapore's Biomedical Sciences Initiative seek to improve healthcare innovation and research, hence promoting the expansion of the biobanking industry. Increased healthcare spending drives developments in healthcare services and technologies in the Asia-Pacific area. Precision medicine, genetic research, and personalized healthcare approaches are becoming increasingly popular, need access to large amounts of biological samples and data. Biobanks play an important role in allowing these advances by supplying broad and well-characterized sample sets, which drive market growth.
Additionally, emerging markets and potential in the Asia-Pacific area, such as China, India, and South Korea, are driven by increased healthcare expenditure, leading to demand for biobanking solutions and infrastructure. These countries, with their huge and diverse populations, genetic variety, and rising burden of chronic diseases, present enormous prospects for biobanking services and research collaborations. Biobanks serve a crucial role in drug discovery and development efforts by biotechnology companies in the Asia-Pacific area by giving access to varied biological samples. These activities include target identification, lead optimization, and preclinical testing.
Precision medicine projects in the Asia-Pacific area are highlighted, with the goal of tailoring medical therapies to individual patients' genetic makeup and illness profiles, with biobanks serving as critical resources for genomic analysis, biomarker development, and tailored treatment options. Biotechnology companies in Asia-Pacific are also looking into regenerative medicine approaches such as cell therapy, tissue engineering, and organ transplantation, with biobanks helping with research by providing stem cells, tissue samples, and other biological materials for experimentation and clinical applications.
The Biobanking Market's competitive landscape includes a diversified mix of rising startups, specialty service providers, and regional biobanks. These firms frequently focus on specialized services, such as niche sample kinds, innovative storage systems, or specific disease regions, to meet the changing needs of researchers and pharmaceutical corporations. Furthermore, technical developments in sample processing, storage, and data management have resulted in the emergence of creative solution providers who offer unique platforms and services, upsetting established biobanking models. Regional biobanks, especially in emerging economies, add to the competitive landscape by leveraging local expertise, cooperation with academic institutions, and government backing to establish biobanking infrastructure suited to regional healthcare requirements.
Some of the prominent players operating in the Biobanking Market include:
Tecan Group Ltd, Lonza, PHC Holdings Corporation, Thermo Fisher Scientific Inc., Hamilton, Brooks Automation, Qiagen N.V., TTP Labtech Ltd, Becton, Dickinson and Company, Merck & Co., Avantor, Inc., Cryoport, Inc., Azenta, Inc.
In April 2023, Merck & Co. has agreed to acquire Prometheus Biosciences for about $10.8 billion, in a deal intended to bolster the buyer's immunology drug pipeline as it faces loss of exclusivity for some of its best-selling products over the next few years. Based in San Diego, Prometheus develops precision drugs and companion diagnostics for immune-mediated diseases. The company's lead candidate, PRA023, is a humanized monoclonal antibody indicated for autoimmune conditions that include ulcerative colitis (UC), Crohn's disease (CD), and Systemic Sclerosis-associated Interstitial Lung Disease.
In October 2022, LabVantage Solutions and Biomax Informatics Merge to Create Innovative Capabilities for the Life Science and Bio Manufacturing Industries. LabVantage Solutions, Inc., the leading provider of laboratory informatics solutions and services, including purpose-built LIMS solutions that allow labs to go live faster and at a lower total cost, and Biomax Informatics AG, a software solutions and services provider for efficient decision-making and knowledge management at the intersection of life sciences, healthcare, and information technologies. Customers will now have more confidence in mission-critical projects that depend on the contextualisation of scientific data.