Automated Sample Storage System Market by Product Type (Automated Retrieval Systems, Fixed Storage Systems, Mobile Racks), Technology (Automated Guided Vehicles, Conveyor Systems, Robotic Arm Systems), Application, End User, Distribution Channel - Global
Description
The Automated Sample Storage System Market was valued at USD 507.88 million in 2024 and is projected to grow to USD 583.93 million in 2025, with a CAGR of 15.23%, reaching USD 1,578.79 million by 2032.
Contextual introduction to how automated sample storage systems are reshaping laboratory operations, integrity controls, and lifecycle investment priorities
Automated sample storage systems have become a cornerstone of contemporary laboratory and biorepository operations, enabling enhanced sample integrity, traceability, and throughput across life sciences and industrial contexts. As laboratories scale and data-centric workflows proliferate, the pressure to minimize human error, reduce physical footprint, and accelerate sample retrieval has driven organizations to reconsider legacy cold storage and manual inventory practices. In response, vendors and end users are converging on integrated solutions that combine mechanical hardware, control software, and robotics to deliver resilient storage ecosystems.
The evolution of these systems reflects broader shifts in laboratory automation and digital transformation. Interoperability with laboratory information management systems, adherence to regulatory recordkeeping, and the capacity to handle diverse temperature regimes are no longer optional features but core design imperatives. Consequently, procurement and technology roadmaps increasingly emphasize modularity, retrofit potential, and lifecycle service models. Looking ahead, executives and facility managers must evaluate not only immediate operational gains but also long-term adaptability, energy efficiency, and vendor support models to ensure continued alignment with organizational scientific objectives.
Identification of converging technological and operational shifts that are driving system integration, sustainability focus, and compliance-ready automation adoption
The landscape for automated sample storage is undergoing transformative shifts driven by converging technological and operational pressures. First, robotics and software orchestration have matured beyond point solutions into platform-level offerings that integrate retrieval, inventory management, and environmental monitoring in real time. This transition enables facilities to move from manual or semi-automated workflows to continuous, auditable processes that scale with sample volumes and complexity. Second, sustainability and energy optimization are rising priorities, prompting design innovations in insulation, compressor efficiency, and cold-room footprint reduction to lower total operating cost and environmental impact.
Concurrently, regulatory scrutiny and data integrity expectations have intensified, leading to tighter requirements for chain-of-custody, electronic records, and validated access controls. This has increased demand for storage systems that can demonstrate compliance-ready features out of the box. Another key shift is the growing appetite for modularity: organizations prefer systems that can be upgraded in situ-whether by adding robotic arms, integrating automated guided vehicles, or deploying advanced software control systems-rather than full equipment replacement. As a result, partnerships between equipment manufacturers and software providers are becoming defining features of competitive differentiation, enabling more agile deployment models and faster ROI realization for adopters.
Detailed analysis of how recent United States tariff shifts are reshaping procurement strategies, sourcing decisions, and equipment lifecycle risk management
Policy and trade environments exert tangible effects on the procurement and lifecycle economics of automated storage equipment, particularly where supply chains for critical components are global. Recent tariff changes in the United States have created new considerations for total landed cost and vendor selection strategies, prompting procurement teams to incorporate duties, customs handling, and potential component substitution into vendor evaluations. In practice, this has led some organizations to re-evaluate sourcing strategies to favor suppliers with local assembly capabilities or diversified manufacturing footprints to mitigate tariff exposure and logistical delays.
In addition, tariffs have influenced vendor behavior, accelerating efforts to localize certain manufacturing steps or to redesign systems to rely on more readily available parts. This reconfiguration often results in modified lead times and alternative service models, while also creating opportunities for regional suppliers to gain traction. From a project planning perspective, procurement schedules must now be more closely aligned with customs clearance timelines and contingency provisions. As such, buyers are increasingly factoring procurement risk mitigation into capital planning and service-level negotiations, using contractual terms to address import-related uncertainties and ensure continuity of operations.
Comprehensive segmentation insights linking product typologies, end-user needs, application temperature regimes, enabling technologies, and distribution approaches for precise solution fit
Understanding segmentation is essential to appreciating how different stakeholders interact with automated sample storage ecosystems and to tailoring offerings that meet use-case requirements. When examining product type, a clear distinction emerges between Automated Retrieval Systems, Fixed Storage Systems, Mobile Racks, and Robotic Storage Systems, each defined by degrees of mechanization and intended throughput. This product differentiation informs procurement priorities: organizations with high-throughput needs often prioritize robotic storage systems for rapid access, while facilities focused on simplicity and cost control might opt for fixed storage or mobile racks.
End user considerations further refine solution fit, with academic and research institutes emphasizing flexibility and retrofit potential, clinical research organizations requiring rigorous chain-of-custody and validated workflows, food and beverage entities prioritizing throughput and traceability for quality programs, and pharmaceuticals and biotech demanding robust cold-chain control and regulatory traceability. Application-level distinctions also matter: ambient, cryogenic, and refrigerated regimes impose distinct design, materials, and maintenance demands that influence vendor selection and service models. Technology segmentation highlights the role of Automated Guided Vehicles, Conveyor Systems, Robotic Arm Systems, and Software Control Systems in orchestrating seamless operations, while distribution channel differences-direct sales, distributors, and online platforms-shape procurement timelines, customization options, and after-sales support. Together, these interlocking segmentation lenses clarify which combinations of product design, technical capability, and commercial model best serve specific organizational needs.
Regional operational distinctions and procurement dynamics across major global regions that influence supplier strategy, deployment models, and after-sales support priorities
Regional dynamics create distinct opportunity and deployment patterns for automated sample storage solutions, shaped by regulatory regimes, infrastructure maturity, and investment appetites. In the Americas, advanced biomedical research hubs and large clinical trial footprints drive demand for high-throughput robotics and integrated software, with procurement often guided by rigorous validation and service-level expectations. Consequently, solution providers serving this region emphasize compliance features, robust technical support, and local spare parts networks to minimize downtime.
Europe, Middle East & Africa present a more heterogeneous environment where regulatory harmonization and strong sustainability commitments influence design priorities; buyers often prioritize energy efficiency and lifecycle servicing alongside compliance. Moreover, regional variation in laboratory infrastructure can favor modular and retrofit-capable systems that allow organizations to modernize incrementally. In the Asia-Pacific region, rapid expansion of biotechnology clusters, contract research organizations, and industrial quality testing facilities fuels broad demand across ambient, refrigerated, and cryogenic applications, and it often rewards suppliers who can provide agile manufacturing, rapid deployment, and multilingual software support. Across all regions, partnerships with local integrators and service providers remain essential to closing sales cycles and ensuring sustained operational performance.
Critical company-level insights on differentiation strategies, partnerships, and service models that drive competitive advantage in automated storage solutions
Competitive dynamics in the automated sample storage space are defined by a mix of specialized robotics vendors, industrial automation firms, and software companies that collaborate to deliver integrated solutions. Leading companies differentiate through combinations of patented hardware configurations, control software sophistication, and comprehensive service offerings that include installation, validation, and preventive maintenance. Strategic collaborations and channel partnerships are common, enabling hardware manufacturers to pair with software control system providers or distribution partners to extend reach and to offer bundled capabilities.
Additionally, some firms pursue vertical integration by offering turnkey solutions that include installation, validation protocols, and long-term service contracts, thereby reducing integration risk for buyers. Others compete on configurability and modularity, offering upgrade paths that protect installed-base investments. Given the complexity of regulated environments, vendors that invest in customer education, on-site validation support, and robust spare parts logistics achieve stronger account retention. Ultimately, success in this market requires a balanced value proposition that combines technical reliability, regulatory readiness, and a scalable service model to support customers throughout the equipment lifecycle.
Actionable strategic recommendations for procurement, integration, and service governance to optimize automation investments and reduce lifecycle risk exposure
Industry leaders can take several practical steps to capitalize on the trends shaping automated sample storage while mitigating operational risks. First, align procurement strategies with long-term operational and sustainability objectives by prioritizing modular systems that allow phased upgrades and retrofit options. This reduces capital disruption and enables incremental performance improvements. Second, emphasize interoperability and open standards in vendor selection to avoid vendor lock-in and to facilitate integration with laboratory information management systems and existing robotics infrastructure.
Third, build procurement contingencies that address tariff and supply-chain volatility, favoring suppliers with diversified manufacturing footprints or local assembly capabilities. Fourth, invest in comprehensive service and validation agreements that ensure uptime and regulatory compliance, and require vendors to demonstrate documented procedures for chain-of-custody and electronic recordkeeping. Finally, develop cross-functional governance-including facilities, IT, procurement, and scientific leadership-to oversee deployment and change management, ensuring that automation initiatives are adopted smoothly and deliver sustained operational improvements.
Transparent multi-method research approach combining stakeholder interviews, technical validation, and supply-chain analysis to underpin actionable insights
This research synthesis is derived from a multi-pronged methodology combining primary interviews, technical literature review, and cross-disciplinary validation to ensure both breadth and depth. Primary inputs included structured interviews with procurement leaders, facility managers, and solutions architects across academic, clinical, and industrial laboratories to capture decision drivers, pain points, and adoption patterns. These qualitative insights were triangulated with product literature, technical white papers, and regulatory guidance to validate functional claims related to temperature control, validation protocols, and system interoperability.
Where relevant, supplier documentation and publicly disclosed case studies were examined to corroborate performance characteristics and service models. Analysis also incorporated supply-chain mapping and policy review to understand procurement implications arising from tariffs and logistics shifts. Throughout, the methodology emphasized reproducibility and transparency, documenting source types and analytic steps so that findings can be revisited and expanded. This approach ensures the conclusions are grounded in contemporary practice and reflective of the operational realities facing organizations adopting automated sample storage technologies.
Synthesis of operational implications and strategic priorities that underscore the long-term value of adaptable, validated automation solutions for laboratories and biorepositories
Automated sample storage systems are at an inflection point where technological maturity, regulatory expectations, and operational imperatives align to drive broader adoption across scientific and industrial settings. As organizations confront growing sample volumes, heightened data integrity requirements, and sustainability goals, the choice of storage architecture-from fixed and mobile racks to fully robotic and software-driven platforms-will materially influence laboratory agility and compliance posture. Concurrently, procurement contexts shaped by tariff dynamics and supply-chain considerations require a more sophisticated approach to vendor evaluation and contract design.
In closing, stakeholders should prioritize solutions that balance robustness with adaptability: systems that deliver validated environmental control and traceability today while offering upgrade pathways for tomorrow’s operational needs. By doing so, organizations will be better positioned to support accelerating research demands and quality expectations, reduce operational risk, and extract long-term value from automation investments. Continued collaboration between equipment manufacturers, software providers, and end users will be essential to realize the full potential of automated sample storage across diverse applications.
Note: PDF & Excel + Online Access - 1 Year
Contextual introduction to how automated sample storage systems are reshaping laboratory operations, integrity controls, and lifecycle investment priorities
Automated sample storage systems have become a cornerstone of contemporary laboratory and biorepository operations, enabling enhanced sample integrity, traceability, and throughput across life sciences and industrial contexts. As laboratories scale and data-centric workflows proliferate, the pressure to minimize human error, reduce physical footprint, and accelerate sample retrieval has driven organizations to reconsider legacy cold storage and manual inventory practices. In response, vendors and end users are converging on integrated solutions that combine mechanical hardware, control software, and robotics to deliver resilient storage ecosystems.
The evolution of these systems reflects broader shifts in laboratory automation and digital transformation. Interoperability with laboratory information management systems, adherence to regulatory recordkeeping, and the capacity to handle diverse temperature regimes are no longer optional features but core design imperatives. Consequently, procurement and technology roadmaps increasingly emphasize modularity, retrofit potential, and lifecycle service models. Looking ahead, executives and facility managers must evaluate not only immediate operational gains but also long-term adaptability, energy efficiency, and vendor support models to ensure continued alignment with organizational scientific objectives.
Identification of converging technological and operational shifts that are driving system integration, sustainability focus, and compliance-ready automation adoption
The landscape for automated sample storage is undergoing transformative shifts driven by converging technological and operational pressures. First, robotics and software orchestration have matured beyond point solutions into platform-level offerings that integrate retrieval, inventory management, and environmental monitoring in real time. This transition enables facilities to move from manual or semi-automated workflows to continuous, auditable processes that scale with sample volumes and complexity. Second, sustainability and energy optimization are rising priorities, prompting design innovations in insulation, compressor efficiency, and cold-room footprint reduction to lower total operating cost and environmental impact.
Concurrently, regulatory scrutiny and data integrity expectations have intensified, leading to tighter requirements for chain-of-custody, electronic records, and validated access controls. This has increased demand for storage systems that can demonstrate compliance-ready features out of the box. Another key shift is the growing appetite for modularity: organizations prefer systems that can be upgraded in situ-whether by adding robotic arms, integrating automated guided vehicles, or deploying advanced software control systems-rather than full equipment replacement. As a result, partnerships between equipment manufacturers and software providers are becoming defining features of competitive differentiation, enabling more agile deployment models and faster ROI realization for adopters.
Detailed analysis of how recent United States tariff shifts are reshaping procurement strategies, sourcing decisions, and equipment lifecycle risk management
Policy and trade environments exert tangible effects on the procurement and lifecycle economics of automated storage equipment, particularly where supply chains for critical components are global. Recent tariff changes in the United States have created new considerations for total landed cost and vendor selection strategies, prompting procurement teams to incorporate duties, customs handling, and potential component substitution into vendor evaluations. In practice, this has led some organizations to re-evaluate sourcing strategies to favor suppliers with local assembly capabilities or diversified manufacturing footprints to mitigate tariff exposure and logistical delays.
In addition, tariffs have influenced vendor behavior, accelerating efforts to localize certain manufacturing steps or to redesign systems to rely on more readily available parts. This reconfiguration often results in modified lead times and alternative service models, while also creating opportunities for regional suppliers to gain traction. From a project planning perspective, procurement schedules must now be more closely aligned with customs clearance timelines and contingency provisions. As such, buyers are increasingly factoring procurement risk mitigation into capital planning and service-level negotiations, using contractual terms to address import-related uncertainties and ensure continuity of operations.
Comprehensive segmentation insights linking product typologies, end-user needs, application temperature regimes, enabling technologies, and distribution approaches for precise solution fit
Understanding segmentation is essential to appreciating how different stakeholders interact with automated sample storage ecosystems and to tailoring offerings that meet use-case requirements. When examining product type, a clear distinction emerges between Automated Retrieval Systems, Fixed Storage Systems, Mobile Racks, and Robotic Storage Systems, each defined by degrees of mechanization and intended throughput. This product differentiation informs procurement priorities: organizations with high-throughput needs often prioritize robotic storage systems for rapid access, while facilities focused on simplicity and cost control might opt for fixed storage or mobile racks.
End user considerations further refine solution fit, with academic and research institutes emphasizing flexibility and retrofit potential, clinical research organizations requiring rigorous chain-of-custody and validated workflows, food and beverage entities prioritizing throughput and traceability for quality programs, and pharmaceuticals and biotech demanding robust cold-chain control and regulatory traceability. Application-level distinctions also matter: ambient, cryogenic, and refrigerated regimes impose distinct design, materials, and maintenance demands that influence vendor selection and service models. Technology segmentation highlights the role of Automated Guided Vehicles, Conveyor Systems, Robotic Arm Systems, and Software Control Systems in orchestrating seamless operations, while distribution channel differences-direct sales, distributors, and online platforms-shape procurement timelines, customization options, and after-sales support. Together, these interlocking segmentation lenses clarify which combinations of product design, technical capability, and commercial model best serve specific organizational needs.
Regional operational distinctions and procurement dynamics across major global regions that influence supplier strategy, deployment models, and after-sales support priorities
Regional dynamics create distinct opportunity and deployment patterns for automated sample storage solutions, shaped by regulatory regimes, infrastructure maturity, and investment appetites. In the Americas, advanced biomedical research hubs and large clinical trial footprints drive demand for high-throughput robotics and integrated software, with procurement often guided by rigorous validation and service-level expectations. Consequently, solution providers serving this region emphasize compliance features, robust technical support, and local spare parts networks to minimize downtime.
Europe, Middle East & Africa present a more heterogeneous environment where regulatory harmonization and strong sustainability commitments influence design priorities; buyers often prioritize energy efficiency and lifecycle servicing alongside compliance. Moreover, regional variation in laboratory infrastructure can favor modular and retrofit-capable systems that allow organizations to modernize incrementally. In the Asia-Pacific region, rapid expansion of biotechnology clusters, contract research organizations, and industrial quality testing facilities fuels broad demand across ambient, refrigerated, and cryogenic applications, and it often rewards suppliers who can provide agile manufacturing, rapid deployment, and multilingual software support. Across all regions, partnerships with local integrators and service providers remain essential to closing sales cycles and ensuring sustained operational performance.
Critical company-level insights on differentiation strategies, partnerships, and service models that drive competitive advantage in automated storage solutions
Competitive dynamics in the automated sample storage space are defined by a mix of specialized robotics vendors, industrial automation firms, and software companies that collaborate to deliver integrated solutions. Leading companies differentiate through combinations of patented hardware configurations, control software sophistication, and comprehensive service offerings that include installation, validation, and preventive maintenance. Strategic collaborations and channel partnerships are common, enabling hardware manufacturers to pair with software control system providers or distribution partners to extend reach and to offer bundled capabilities.
Additionally, some firms pursue vertical integration by offering turnkey solutions that include installation, validation protocols, and long-term service contracts, thereby reducing integration risk for buyers. Others compete on configurability and modularity, offering upgrade paths that protect installed-base investments. Given the complexity of regulated environments, vendors that invest in customer education, on-site validation support, and robust spare parts logistics achieve stronger account retention. Ultimately, success in this market requires a balanced value proposition that combines technical reliability, regulatory readiness, and a scalable service model to support customers throughout the equipment lifecycle.
Actionable strategic recommendations for procurement, integration, and service governance to optimize automation investments and reduce lifecycle risk exposure
Industry leaders can take several practical steps to capitalize on the trends shaping automated sample storage while mitigating operational risks. First, align procurement strategies with long-term operational and sustainability objectives by prioritizing modular systems that allow phased upgrades and retrofit options. This reduces capital disruption and enables incremental performance improvements. Second, emphasize interoperability and open standards in vendor selection to avoid vendor lock-in and to facilitate integration with laboratory information management systems and existing robotics infrastructure.
Third, build procurement contingencies that address tariff and supply-chain volatility, favoring suppliers with diversified manufacturing footprints or local assembly capabilities. Fourth, invest in comprehensive service and validation agreements that ensure uptime and regulatory compliance, and require vendors to demonstrate documented procedures for chain-of-custody and electronic recordkeeping. Finally, develop cross-functional governance-including facilities, IT, procurement, and scientific leadership-to oversee deployment and change management, ensuring that automation initiatives are adopted smoothly and deliver sustained operational improvements.
Transparent multi-method research approach combining stakeholder interviews, technical validation, and supply-chain analysis to underpin actionable insights
This research synthesis is derived from a multi-pronged methodology combining primary interviews, technical literature review, and cross-disciplinary validation to ensure both breadth and depth. Primary inputs included structured interviews with procurement leaders, facility managers, and solutions architects across academic, clinical, and industrial laboratories to capture decision drivers, pain points, and adoption patterns. These qualitative insights were triangulated with product literature, technical white papers, and regulatory guidance to validate functional claims related to temperature control, validation protocols, and system interoperability.
Where relevant, supplier documentation and publicly disclosed case studies were examined to corroborate performance characteristics and service models. Analysis also incorporated supply-chain mapping and policy review to understand procurement implications arising from tariffs and logistics shifts. Throughout, the methodology emphasized reproducibility and transparency, documenting source types and analytic steps so that findings can be revisited and expanded. This approach ensures the conclusions are grounded in contemporary practice and reflective of the operational realities facing organizations adopting automated sample storage technologies.
Synthesis of operational implications and strategic priorities that underscore the long-term value of adaptable, validated automation solutions for laboratories and biorepositories
Automated sample storage systems are at an inflection point where technological maturity, regulatory expectations, and operational imperatives align to drive broader adoption across scientific and industrial settings. As organizations confront growing sample volumes, heightened data integrity requirements, and sustainability goals, the choice of storage architecture-from fixed and mobile racks to fully robotic and software-driven platforms-will materially influence laboratory agility and compliance posture. Concurrently, procurement contexts shaped by tariff dynamics and supply-chain considerations require a more sophisticated approach to vendor evaluation and contract design.
In closing, stakeholders should prioritize solutions that balance robustness with adaptability: systems that deliver validated environmental control and traceability today while offering upgrade pathways for tomorrow’s operational needs. By doing so, organizations will be better positioned to support accelerating research demands and quality expectations, reduce operational risk, and extract long-term value from automation investments. Continued collaboration between equipment manufacturers, software providers, and end users will be essential to realize the full potential of automated sample storage across diverse applications.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
191 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Adoption of AI-driven retrieval algorithms to optimize sample access efficiency and throughput
- 5.2. Integration of IoT-enabled remote monitoring and predictive maintenance in storage operations
- 5.3. Growing implementation of ultra-low temperature automated storage for biologics and vaccines
- 5.4. Deployment of modular scalable storage systems to support personalized medicine sample workflows
- 5.5. Enhanced chain-of-custody tracking and audit trail integration for regulatory compliance in laboratories
- 5.6. Adoption of robotic arms with advanced vision systems to minimize sample cross-contamination risks
- 5.7. Development of energy-efficient storage automation solutions to reduce laboratory operational costs
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Automated Sample Storage System Market, by Product Type
- 8.1. Automated Retrieval Systems
- 8.2. Fixed Storage Systems
- 8.3. Mobile Racks
- 8.4. Robotic Storage Systems
- 9. Automated Sample Storage System Market, by Technology
- 9.1. Automated Guided Vehicles
- 9.2. Conveyor Systems
- 9.3. Robotic Arm Systems
- 9.4. Software Control Systems
- 10. Automated Sample Storage System Market, by Application
- 10.1. Ambient
- 10.2. Cryogenic
- 10.3. Refrigerated
- 11. Automated Sample Storage System Market, by End User
- 11.1. Academic & Research Institutes
- 11.2. Clinical Research Organizations
- 11.3. Food & Beverage
- 11.4. Pharmaceuticals & Biotech
- 12. Automated Sample Storage System Market, by Distribution Channel
- 12.1. Direct Sales
- 12.2. Distributors
- 12.3. Online Platforms
- 13. Automated Sample Storage System Market, by Region
- 13.1. Americas
- 13.1.1. North America
- 13.1.2. Latin America
- 13.2. Europe, Middle East & Africa
- 13.2.1. Europe
- 13.2.2. Middle East
- 13.2.3. Africa
- 13.3. Asia-Pacific
- 14. Automated Sample Storage System Market, by Group
- 14.1. ASEAN
- 14.2. GCC
- 14.3. European Union
- 14.4. BRICS
- 14.5. G7
- 14.6. NATO
- 15. Automated Sample Storage System Market, by Country
- 15.1. United States
- 15.2. Canada
- 15.3. Mexico
- 15.4. Brazil
- 15.5. United Kingdom
- 15.6. Germany
- 15.7. France
- 15.8. Russia
- 15.9. Italy
- 15.10. Spain
- 15.11. China
- 15.12. India
- 15.13. Japan
- 15.14. Australia
- 15.15. South Korea
- 16. Competitive Landscape
- 16.1. Market Share Analysis, 2024
- 16.2. FPNV Positioning Matrix, 2024
- 16.3. Competitive Analysis
- 16.3.1. Angelantoni Life Science S.p.A.
- 16.3.2. Azenta Life Sciences, Inc.
- 16.3.3. B Medical Systems S.A.
- 16.3.4. Biocision LLC
- 16.3.5. BioStorage Technologies, LLC
- 16.3.6. Biotron Healthcare
- 16.3.7. Concept Application Technology, Inc.
- 16.3.8. Eppendorf AG
- 16.3.9. Hamilton Bonaduz AG
- 16.3.10. Hudson Robotics, Inc.
- 16.3.11. Kardex Holding AG
- 16.3.12. Labconco Corporation
- 16.3.13. LabWare, Inc.
- 16.3.14. LiCONiC AG
- 16.3.15. Oxford Instruments plc
- 16.3.16. Panasonic Healthcare Co., Ltd.
- 16.3.17. PHC Holdings Corporation
- 16.3.18. Sovicell GmbH
- 16.3.19. SPT Labtech Ltd.
- 16.3.20. Swisslog Holding Ltd.
- 16.3.21. Thermo Fisher Scientific Inc.
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