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市场调查报告书
商品编码
1941095
自动化样品储存系统市场 - 全球产业规模、份额、趋势、机会及预测(按产品、最终用户、地区和竞争格局划分,2021-2031年)Automated Sample Storage Systems Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Product, By End user, By Region & Competition, 2021-2031F |
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全球自动化样品储存系统市场预计将从 2025 年的 11.4 亿美元成长到 2031 年的 17.6 亿美元,复合年增长率为 7.51%。
这些机器人平台专为在严格的环境条件下储存和检索生物或化学检体而设计。市场成长的主要驱动力是个人化医疗领域对大规模生物银行日益增长的需求,以及药物研发领域对高通量样本管理的需求。此外,在受监管的临床研究环境中,维护样本完整性和确保资料可追溯性的关键操作要求也推动了这些系统的应用,因为它们能够最大限度地减少人为错误。
| 市场概览 | |
|---|---|
| 预测期 | 2027-2031 |
| 市场规模:2025年 | 11.4亿美元 |
| 市场规模:2031年 | 17.6亿美元 |
| 复合年增长率:2026-2031年 | 7.51% |
| 成长最快的细分市场 | 自动化复合材料储存系统 |
| 最大的市场 | 北美洲 |
同时,高昂的资本投入以及将这些系统整合到现有实验室基础设施中的技术复杂性限制了整体市场扩张。此外,具备管理现代自动化实验室所需专业技术知识的人才严重短缺,进一步加剧了这项挑战。根据皮斯托亚联盟的数据,到2025年,34%的产业专家认为缺乏熟练人才是采用先进实验室技术的主要障碍。
药物研发投入的不断成长是推动全球自动化样品储存系统市场发展的主要因素。製药公司正投入大量资金开发新型疗法,这需要先进的自动化解决方案来精确处理大量的化合物和生物样本。在受法规环境下,高通量筛检和资料完整性要求迫使实验室从手动存储转向自动化存储,以减少人为错误并缩短研发週期。欧洲製药工业协会联合会 (EFPIA) 于 2024 年 11 月发布的数据凸显了这项投资规模。该数据预测,2024 年,以研发为驱动的製药业将在欧洲投入约 550 亿欧元用于研发,这表明巨大的营运需求将推动先进储存技术的应用。
同时,生物银行的扩张和政府对生命科学基础设施的投入,为市场发展提供了强而有力的支持。随着生物样本库累积数百万份用于基因组研究和个人化医疗的生物样本,对扩充性、安全且搜寻的储存的需求变得至关重要。政府和私营部门都在大力投资升级其设施,以应对数据和样本的快速成长。例如,英国生物样本库于2024年7月宣布投资1,600万英镑,用于增强其储存基础设施和云端运算能力。这种系统性的现代化改造正在创造清晰的市场机会,Azenta公司2024年样本管理解决方案部门3.19亿美元的营收也印证了市场对其自动化储存库服务和核心产品的强劲需求。
全球自动化样品储存系统市场成长面临的主要障碍之一是将机器人平台整合到现有实验室基础设施中的技术难题。儘管这些系统旨在确保样品完整性,但其成功实施取决于与传统实验室资讯管理系统 (LIMS) 和电子实验记录本 (ELN) 的无缝互通性。要实现这种连接通常极具挑战性,因为旧的数位框架可能无法相容于现代自动化储存单元所使用的复杂资料交换通讯协定。这种不相容性会导致工作流程碎片化,阻碍实验室充分利用资料可追溯性,并最终降低潜在买家的即时投资回报。
这种整合障碍显着减缓了市场接受度,因为各机构不愿意投资那些会造成资讯孤岛的解决方案。根据皮斯托亚联盟2025年调查,57%的产业专家认为资料孤岛是阻碍实验室环境中有效利用资料的最大挑战。这项数据凸显了连线问题的严重性。当自动化储存系统无法轻鬆整合到更广泛的研究生态系统中时,营运风险和实施成本就会增加,导致决策者推迟或减少对这些先进技术的投资。
随着实验室努力遵守严格的企业永续性政策,环保节能解决方案的开发正在重塑市场格局。由于超低温(ULT)储存能耗高,製造商正在设计采用先进隔热技术和变速压缩机的自动化系统,与传统的手动冷冻库相比,这些系统能够显着降低电力消耗。高密度储存设计进一步加速了这一转变,这些设计减少了每个样品的物理面积和冷却体积,从而直接降低了低温运输运作对环境的影响。 2025年1月,My Green Lab报告称,2024年国际实验室冷冻库挑战赛的参与者透过采用永续製冷方法,总合节省了3180万千瓦时的能源,凸显了该行业向绿色技术运营模式的转变。
同时,人工智慧 (AI) 在预测分析领域的应用正在革新自动化系统处理关键库存管理和设备可靠性的方式。现代平台超越了标准的搜寻功能,利用 AI 演算法即时监测组件健康状况,实现预测性维护,从而在机械故障危及宝贵的生物资产之前将其扼杀在萌芽状态。这些智慧型系统还能优化搜寻工作流程,最大限度地减少温度波动,并确保高通量处理过程中的样本品质。这一技术趋势与更广泛的行业趋势相符。根据 RSI Security 于 2025 年 8 月发布的《2025 年医疗保健和生命科学领域 AI 趋势》报告,63% 的行业专业人士正在积极使用人工智慧工具,这迫使储存库营运商整合这些功能,以满足生命科学研究的数据驱动需求。
The Global Automated Sample Storage Systems Market is projected to expand from USD 1.14 Billion in 2025 to USD 1.76 Billion by 2031, registering a CAGR of 7.51%. These robotic platforms are engineered to archive and retrieve biological or chemical specimens under strict environmental conditions. Market expansion is chiefly supported by the rising necessity for large-scale biobanking within personalized medicine and the demand for high-throughput sample management in drug discovery. Furthermore, the adoption of these systems is fueled by the critical operational requirement to maintain sample integrity and ensure data traceability, thereby minimizing human error in regulated clinical research settings.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 1.14 Billion |
| Market Size 2031 | USD 1.76 Billion |
| CAGR 2026-2031 | 7.51% |
| Fastest Growing Segment | Automated Compound Storage Systems |
| Largest Market | North America |
Conversely, broad market expansion is restricted by substantial capital expenditures and the technical intricacies involved in merging these systems with current laboratory infrastructures. This challenge is exacerbated by a notable workforce deficit regarding the specialized technical expertise needed to manage modern automated laboratories. Data from the Pistoia Alliance indicates that in 2025, 34% of industry professionals cited the scarcity of skilled personnel as a major impediment to adopting advanced laboratory technologies.
Market Driver
Increasing R&D investment within drug discovery serves as a major driver for the Global Automated Sample Storage Systems Market. Pharmaceutical firms are directing significant capital toward developing new therapeutics, creating a need for advanced automated solutions to handle immense volumes of compounds and biological samples with exactitude. The requirements for high-throughput screening and data integrity in regulated settings force laboratories to shift from manual to automated storage to reduce human error and speed up timelines. This financial dedication is highlighted by the European Federation of Pharmaceutical Industries and Associations (EFPIA), which reported in November 2024 that the research-based pharmaceutical industry invested approximately €55,000 million in R&D across Europe in 2024, demonstrating the vast operational needs driving the uptake of sophisticated storage technologies.
In parallel, the growth of biobanking and government funding for life sciences infrastructure significantly boosts market progress. As biobanks accumulate millions of biological specimens for genomic research and personalized medicine, the demand for scalable, secure, and retrievable storage becomes paramount. Both government and private sectors are investing heavily to upgrade these facilities to manage exponential growth in data and samples. For example, the UK Biobank announced in July 2024 a combined £16 million investment to improve its storage infrastructure and cloud computing capacity. This systematic modernization results in clear market opportunities, as evidenced by Azenta, Inc., which reported $319 million in revenue from its Sample Management Solutions segment in 2024, reflecting strong demand for automated repository services and core products.
Market Challenge
The primary obstacle hindering the growth of the Global Automated Sample Storage Systems Market is the technical difficulty of integrating robotic platforms into pre-existing laboratory infrastructures. Although these systems are built to guarantee sample integrity, their successful implementation depends on seamless interoperability with legacy Laboratory Information Management Systems (LIMS) and Electronic Laboratory Notebooks (ELN). Establishing this connectivity is often arduous, as older digital frameworks may lack support for the advanced data exchange protocols used by modern automated storage units. This incompatibility results in disjointed workflows and prevents laboratories from fully utilizing data traceability, ultimately diminishing the immediate return on investment for prospective buyers.
This barrier to integration significantly slows market adoption, as organizations are reluctant to invest in solutions that create isolated information pockets. According to the Pistoia Alliance in 2025, 57% of industry professionals pinpointed data silos as the leading challenge preventing effective data utilization in laboratory environments. This statistic highlights the severity of the connectivity problem; when automated storage systems cannot be easily integrated with the wider research ecosystem, operational risks and implementation costs increase, prompting decision-makers to delay or reduce their investment in these advanced technologies.
Market Trends
The market is increasingly being reshaped by the development of eco-friendly and energy-efficient solutions as laboratories endeavor to adhere to stringent corporate sustainability mandates. Ultra-low temperature (ULT) storage requires significant energy, motivating manufacturers to design automated systems featuring advanced insulation and variable-speed compressors that substantially lower power consumption compared to conventional manual freezers. This transition is further hastened by high-density storage designs that decrease the physical footprint and cooling volume needed per sample, directly mitigating the environmental impact of cold chain operations. In January 2025, My Green Lab reported that participants in the '2024 International Laboratory Freezer Challenge' saved a collective 31.8 million kWh of energy by adopting sustainable cold storage practices, emphasizing the sector's operational shift toward green technologies.
Concurrently, the incorporation of artificial intelligence for predictive analytics is revolutionizing how automated systems handle critical inventory and instrument reliability. Beyond standard retrieval functions, modern platforms employ AI algorithms to monitor component health in real-time, facilitating predictive maintenance that prevents mechanical failures before they endanger valuable biological assets. These intelligent systems also refine retrieval workflows to minimize thermal fluctuations, thereby ensuring superior sample quality during high-throughput processing. This technological trend aligns with a broader industry movement; according to an August 2025 report by RSI Security on '2025 AI Trends in Healthcare & Life Sciences,' 63% of industry professionals are actively utilizing artificial intelligence tools, compelling storage providers to integrate these capabilities to satisfy the data-driven requirements of life science research.
Report Scope
In this report, the Global Automated Sample Storage Systems Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Automated Sample Storage Systems Market.
Global Automated Sample Storage Systems 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: