Automated Sample Storage Systems Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2021-2031

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.

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 Drivers

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 €55.00 billion 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 Challenges

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.

Key Players Profiled in the Automated Sample Storage Systems Market

• Thermo Fisher Scientific, Inc.
• Beckman Coulter, Inc.
• Hamilton Company
• Azenta US, Inc.
• MEGAROBO Technologies Co.,Ltd.
• SPT Labtech Ltd.
• LiCONiC AG
• MICRONIC
• ASKION GmbH
• Haier Biomedical

Report Scope

In this report, the Global Automated Sample Storage Systems Market has been segmented into the following categories:

Automated Sample Storage Systems Market, by Product:

• Automated Compound Storage Systems
• Automated Liquid Handling Systems
• Others

Automated Sample Storage Systems Market, by End user:

• Pharmaceutical and Biotech Companies
• Academic and Research Institutions
• Biobanks
• Others

Automated Sample Storage Systems Market, by Region:

• North America
• Europe
• Asia-Pacific
• South America
• Middle East & Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Automated Sample Storage Systems Market.

Available Customization

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