The global automated sample storage systems market size was USD 1.10 billion in 2023, calculated at USD 1.22 billion in 2024 and is expected to be worth around USD 3.54 billion by 2034. The market is slated to expand at 11.21% CAGR from 2024 to 2034.
The global automated sample storage systems market size is projected to reach around USD 3.54 billion by 2034 from USD 1.22 billion in 2024, at a CAGR of 11.21% from 2024 to 2034. The North America automated sample storage systems market size reached USD 420 million in 2023. The automated sample storage systems' benefits include helping to maximize sample accessibility and integrity, strong refrigeration designed for the protection of samples from disasters, and automated handling helps to improve sample protection and minimize sample temperature cycling.
Access our Healthcare Data Intelligence Tool with 10000+ Database, Visit: Towards Healthcare
The U.S. automated sample storage systems market size was exhibited at USD 290 million in 2023 and is projected to be worth around USD 960 million by 2034, poised to grow at a CAGR of 11.49% from 2024 to 2034.
North America has contributed the biggest market share of 38% in 2023. Rising demand for laboratory automation, the presence of many market players, and supportive government initiatives contribute to the growth of the market in North America. A strong supplier network and easy availability of advanced technological products contribute to the growth of the market. The U.S. country is leading the growth of the market in the North American region. Strong refrigeration is designed for the protection of samples from disasters by key market players in North America.
Asia Pacific is estimated to be the fastest-growing during the forecast period of 2024-2033. Significant investments from key players, a high number of patients to target diseases, and proceeding startups help the growth of the automated sample storage systems market in the Asia Pacific region. Improved ergonomics, tighter inventory control, improved picking throughput, increased picking accuracy, no need for manual search for samples, minimized sample temperature cycling, reduced costs and labor requirements, and improved floor space use can help the growth of the market in the Asia Pacific region.
Hamilton provides exact storage capacities with BiOS minus 80°C lab freezer.
| Example Capacities (Standard Racks) | BiOS M | BiOS L | BiOS XL |
| Hamilton 0.3mL | 906K–10.5M | 1.47M–17.0M | 3.26M–17.4M |
| Micronic 0.5mL | 661K–7.65M | 1.16M–12.5M | 2.40M–12.7M |
| Hamilton 0.6mL | 634K–6.8M | 1.00M–10.8M | 2.07M–11.0M |
| Hamilton 1.0mL | 392K–4.53M | 661K–7.65M | 1.47M–7.81M |
| Hamilton 2.0mL | 208K–2.41M | 343K–3.96M | 762K–4.05M |
| Nunc 5.0mL | 104K–1.14M | 166K–1.91M | 367K–1.95M |
The automated sample storage systems market refers to the computer-controlled storage devices that store samples like chemical compounds and biological samples used in many end-use industries, including life sciences, medical material management, seed storage and management, chemicals, etc. These systems help laboratory facilities retrieve and store samples effectively as necessary. The automated sample storage systems appear to offer the benefits of preserving sample quality, significant efficiency, and space-saving. The advantages of automated sample storage systems include streamlined sample management, energy efficiency, resource-saving with automation, and efficiency in sample retrieval.
How is AI Revolutionizing the Automated Sample Storage Systems?
AI-based automated sample storage systems help reduce many manual tasks and the complexity of traditional sample storage systems. The benefits of the use of artificial intelligence (AI) in automated sample storage systems include workload optimization, intelligent data tiering, and automated provisioning. Committed storage personnel may spend less time managing and monitoring storage systems as a result. AI-based automated sample storage systems can help to support recovery capabilities and intelligent backup.
| Report Coverage | Details |
| Market Size by 2034 | USD 3.54 Billion |
| Market Size in 2023 | USD 1.10 Billion |
| Market Size in 2024 | USD 1.22 Billion |
| Market Growth Rate from 2024 to 2034 | CAGR of 11.21% |
| Largest Market | North America |
| Base Year | 2023 |
| Forecast Period | 2024 to 2034 |
| Segments Covered | Product, Sample, End-user, and Regions |
| Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
Rising investments in pharmaceutical and biotech industries
The rising investments in pharmaceutical and biotechnology industries contribute to the growth of the market. Rising demand for managing and storing large volumes of samples, including compounds and specimens, across the healthcare, biopharmaceutical, and pharmaceutical industries contribute to the growth of the automated sample storage systems market. The use of automated sample storage systems in pharmaceutical and biotech industries helps to improve remote monitoring, reduce equipment maintenance costs, and prevent failure. These factors help to the growth of the market.
Limitations of automated sample storage systems
The limitations of automated sample storage systems include the high costs of sample storage for short periods, differential requirements for sample management, psychological dependence on automation, increased risk of downtime, increased generation of vibrations, noise, and heat, overcrowding of personnel, infrastructure constraints and space requirement, increased costs for supplies, energy, and maintenance. These factors can hamper the growth of the automated sample storage systems market.
Research and development
The research and development in automated sample storage systems can be an opportunity to contribute to the growth of the market. To overcome the limitations like high costs of sample storage for a short time, psychological dependence on automation, different requirements for sample management, increased generation of noise, heat, and vibrations, increased risk of downtime, infrastructure constraints, and space requirements.
The automated compound storage system segment dominated the automated sample storage systems market with the largest market share of 51% in 2023. Automation plays an important role in compound storage management of automated sample storage systems. The benefits of an automated compound storage system include meeting consumer demand to maximum return on investments by effective life cycle planning, system availability, and cost reduction. This helps in reagent and compound tracking, permission levels of users, full standardized documents, rapidly increased productivity, and centralized storage of multiple containers, and adapts to changing needs without disruption. These factors help to the growth of the automated compound storage system segment and contribute to the growth of the market.
The automated liquid handling system segment is expected to be the fastest-growing during the forecast period. The automated liquid handling system benefits include increased productivity and satisfaction, time-saving, limited wastage, lowering costs, eliminating contamination and carryover, increased precision, accuracy, and speed, and reducing repetitive strain injuries and manual tasks. It also helps minimize human errors, which are always a risk in the laboratory, increases walk-away time, fast-track results, and supports high throughput workflows, which help the growth of the market. These factors help the growth of the automated liquid handling system segment and contribute to the growth of the automated sample storage systems market.
The compound samples segment led the market in 2023, with a market share of 66%. The increasing demand for compound samples in academic research institutes and biobanks contributes to the growth of the segment. Compound samples play an important role in pharmaceuticals, which are essential for the development and discovery of various medications, transdermal gels, topical creams, liquid suspensions, etc. The automated compound sample storage system helps to save space, maximize efficiency, streamline sample management, reduce cooling demands, increase energy efficiency, save resources with automated labor, protect sample quality, and increase efficiency in sample retrieval.
The biological samples segment is estimated to be the fastest-growing during the forecast period. In pharmaceutical research and development, biological samples play an important role. The benefits of biological samples include helping researchers with drug development and testing to understand potential side effects, safety, and drug efficacy; diverse populations help the development of disease treatments, and human-diseased cell lines, organs, tissues, and bodily fluids are essential for identification and validation of drug targets, personalized medicines, translational research, infectious diseases research, and antimicrobial resistance studies.
The pharmaceutical and biotech companies segment accounted for a major market share of 43% in 2023. Automated sample storage systems play an important role in pharmaceutical and biotech companies for drug discovery, research, and development. These systems are designed to store biological samples obtained from living organisms, including plants, animals, or humans, like genetic materials, cells, bodily fluids, and tissues, and compound samples, including a mixture of chemical compounds that may be synthetic or naturally occurring. Rising research & developments by pharmaceutical and biotech companies for drug discoveries have led to increased demand for automated sample storage systems.
The biobanks segment is anticipated to be the fastest-growing during the forecast period. The benefits of biobanks include access to a large pool of samples with data and support at the time of ongoing sample acquisition, biobanks are helpful for low or middle-income countries, high-quality control and assurance measures in place, making them reliable and safe spaces to store the samples, high-quality samples and data compliance to the high-quality standards throughout the entire work process.
Segments Covered in the Report
By Product
By Sample
By End-user
By Geography
1. Introduction
2. Market Dynamics
3. Market Overview
4. Automated Sample Storage Systems Market Segmentation
By Product
By Sample
By End-user
By Geography
By Product
By Sample
By End-user
By Geography
6. Go-to-Market Strategies
· Market Entry Strategies
o Direct Sales
§ Establishing a direct sales team.
§ Developing a direct sales strategy and customer relationship management.
§ Implementing customer acquisition and retention programs.
o Distributors and Partners
§ Identifying potential distributors and partners.
§ Negotiating distribution agreements and terms.
§ Building and managing distributor and partner networks.
§ Evaluating distributor performance and market coverage.
· Pricing Strategies
o Competitive Pricing
§ Analyzing competitors' pricing models.
§ Setting prices based on competitive benchmarks.
§ Implementing dynamic pricing strategies.
o Value-based Pricing
§ Assessing the perceived value of the product.
§ Setting prices based on customer value and benefits.
§ Communicating value proposition effectively to customers.
· Channel Strategies
o Online Channels
§ Developing e-commerce platforms and websites.
§ Leveraging digital marketing and online advertising.
§ Utilizing social media and online marketplaces.
o Offline Channels
§ Establishing retail partnerships and distribution networks.
§ Using traditional marketing and sales tactics.
§ Engaging in trade shows and industry events.
· Positioning Strategies
o Product Differentiation
§ Highlighting unique features and benefits of the product.
§ Creating a strong value proposition.
§ Leveraging technological or quality advantages.
o Branding and Awareness
§ Building a strong brand identity.
§ Implementing brand awareness campaigns.
§ Creating impactful branding materials and messaging.
7. Competition Analysis
· Market Share Analysis
o Analyzing market share distribution among key players.
o Evaluating changes in market share over time.
o Identifying leading and emerging competitors.
· Competitive Landscape
o Key Players and Market Positioning
§ Profiling major companies in the market.
§ Assessing their market positioning and strategies.
o Strategies Adopted by Leading Players
§ Reviewing competitive strategies, including pricing, product development, and marketing.
§ Identifying strategic moves such as mergers, acquisitions, and partnerships.
· SWOT Analysis of Major Competitors
o Analyzing strengths, weaknesses, opportunities, and threats of key competitors.
o Identifying competitive advantages and disadvantages.
· Mergers and Acquisitions
o Reviewing recent mergers and acquisitions in the market.
o Assessing their impact on market dynamics and competitive landscape.
· Product Portfolio Analysis
o Evaluating the product offerings of key players.
o Analyzing product features, quality, and innovation.
8. Opportunity Assessment
· Emerging Markets and Growth Regions
o Identifying high-growth regions and emerging markets.
o Analyzing factors driving growth in these regions.
· Technological Advancements
o Evaluating recent technological innovations and their impact on the market.
o Identifying opportunities for adopting new technologies.
· Strategic Partnerships and Collaborations
o Exploring potential strategic partnerships and alliances.
o Assessing the benefits of collaborations for market expansion.
· Government Initiatives and Regulations
o Reviewing relevant government policies and regulations.
o Analyzing their impact on market opportunities and challenges.
· Investment Opportunities
§ Identifying areas with high investment potential.
§ Assessing the risk and return of various investment opportunities.
9. New Product Development
· Innovation and R&D Activities
o Reviewing ongoing R&D projects and innovations.
o Assessing the role of innovation in product development.
· Product Launches and Developments
o Analyzing recent product launches and developments.
o Evaluating market response to new products.
· Patent Analysis
o Reviewing patents related to automated sample storage systems.
o Analyzing trends in patent filings and technology protection.
· Emerging Technologies in Automated Sample Storage Systems
o Identifying cutting-edge technologies being integrated into systems.
o Evaluating their impact on product functionality and market competitiveness.
· User Feedback and Iterative Improvements
o Collecting and analyzing user feedback.
o Implementing improvements based on customer insights.
10. Plan Finances/ROI Analysis
· Cost Structure Analysis
o Analyzing the cost components involved in product development and operations.
o Identifying cost drivers and areas for cost reduction.
· Pricing Strategy and Profit Margin Analysis
o Evaluating pricing strategies and their impact on profit margins.
o Analyzing profitability and financial performance.
· Return on Investment (ROI) Models
o Developing ROI models for different investment scenarios.
o Assessing the financial return of various strategies.
· Financial Forecasting and Budgeting
o Creating financial forecasts and budgets.
o Analyzing financial projections and their implications.
· Break-even Analysis
o Calculating break-even points for various products and strategies.
o Assessing the financial feasibility of new initiatives.
11. Supply Chain Intelligence/Streamline Operations
· Supply Chain Overview
o Mapping out the supply chain for automated sample storage systems.
o Identifying key suppliers and logistics partners.
· Supplier and Vendor Analysis
o Evaluating the performance and reliability of suppliers and vendors.
o Assessing supplier risk and management strategies.
· Logistics and Distribution Strategies
o Analyzing logistics and distribution models.
o Identifying opportunities for optimization and cost reduction.
· Inventory Management and Optimization
o Implementing inventory management practices.
o Optimizing inventory levels to reduce costs and improve efficiency.
· Risk Management in Supply Chain
o Identifying and mitigating risks in the supply chain.
o Developing risk management strategies and contingency plans.
· Lean and Agile Supply Chain Practices
o Implementing lean and agile practices to enhance supply chain efficiency.
o Analyzing the impact of these practices on operations.
12. Cross-border Intelligence
· Regulatory and Compliance Considerations
o Reviewing regulations and compliance requirements for different regions.
o Assessing their impact on market entry and operations.
· Market Entry Strategies for Different Regions
o Developing market entry strategies tailored to various regions.
o Analyzing regional market conditions and opportunities.
· Cross-border Partnerships and Alliances
o Identifying potential cross-border partnerships and alliances.
o Evaluating the benefits of international collaborations.
· Trade and Tariff Implications
o Analyzing trade policies and tariff impacts on the market.
o Assessing strategies to manage trade barriers and costs.
· Cultural and Market Adaptations
o Adapting products and strategies to local cultures and market preferences.
o Identifying key factors for successful cross-border market entry.
13. Business Model Innovation
· Traditional vs. Modern Business Models
o Comparing traditional and modern business models in the industry.
o Analyzing trends and shifts in business model innovation.
· Subscription and Pay-per-Use Models
o Exploring subscription and pay-per-use business models.
o Assessing their impact on revenue and customer engagement.
· Service-Oriented Business Models
o Developing service-oriented business models.
o Evaluating the benefits and challenges of service-based approaches.
· Revenue Stream Diversification
o Identifying opportunities for revenue stream diversification.
o Analyzing the impact on business growth and stability.
· Digital Transformation and Automation in Business Models
o Implementing digital transformation and automation strategies.
o Analyzing their impact on business operations and model efficiency.
14. Blue Ocean vs. Red Ocean Strategies
· Blue Ocean Strategies: Creating Uncontested Market Space
o Exploring strategies for creating new market spaces.
o Analyzing successful examples of Blue Ocean strategies.
· Red Ocean Strategies: Competing in Existing Market Space
o Evaluating competitive strategies in saturated markets.
o Analyzing approaches to outperform competitors.
· Case Studies of Successful Blue Ocean Strategies
o Reviewing case studies of companies implementing Blue Ocean strategies.
o Identifying key factors for success.
· Identifying and Exploiting Untapped Market Opportunities
o Analyzing methods for identifying new market opportunities.
o Developing strategies to capitalize on untapped markets.
· Balancing Innovation with Competitive Response
o Finding the balance between innovation and competitive pressures.
o Developing strategies to address competitive threats.
15. Integration of AI in Automated Sample Storage Systems
· Overview of AI Technologies in Automated Sample Storage Systems
o Describing key AI technologies used in the market.
o Assessing the impact of AI on product functionality and performance.
· Applications of AI in Automated Sample Storage Systems
o Smart Tracking and Inventory Management
§ Using AI for real-time tracking and inventory management.
§ Implementing automated inventory control systems.
o Predictive Maintenance and Quality Control
§ Leveraging AI for predictive maintenance.
§ Enhancing quality control through AI-driven analytics.
o 13.2.3 Optimization of Supply Chain Logistics
§ Using AI for supply chain optimization.
§ Implementing AI-based logistics and distribution strategies.
· Benefits of AI Integration
o Enhanced Efficiency and Productivity
§ Improving operational efficiency through automation.
§ Increasing productivity with AI-driven processes.
o Cost Savings and Waste Reduction
§ Reducing costs through optimized operations.
§ Minimizing waste with AI-based management systems.
o Improved Sustainability
§ Enhancing sustainability with AI-driven solutions.
§ Reducing environmental impact through efficient practices.
· Case Studies and Real-world Applications
o Reviewing case studies of AI integration in automated sample storage systems.
o Analyzing real-world examples and outcomes.
· Future Prospects and Innovations
o Exploring future trends in AI for automated sample storage.
o Assessing potential innovations and their impact on the market.
16. Production and Consumption Data
· Global Production Volumes
o Analyzing global production volumes for automated sample storage systems.
o Identifying major production hubs and trends.
· Regional Production Analysis
o Evaluating production volumes and trends by region.
o Assessing regional manufacturing capabilities and capacities.
· Consumption Patterns by Region
o Analyzing consumption patterns across different regions.
o Identifying key markets and demand drivers.
· Key Trends in Production and Consumption
o Reviewing key trends affecting production and consumption.
o Analyzing factors influencing market dynamics.
· Impact of Production and Consumption on Market Dynamics
o Assessing the impact of production and consumption on market trends.
o Identifying implications for supply and demand balance.
17. Competitive Landscape
18. Company Profiles
19. Future Market Outlook
20. Appendix
No cookie-cutter, only authentic analysis – take the 1st step to become a Precedence Research client
Get a Sample