Laboratory Automation Market by Type (Modular Automation Solutions, Total Automation Solutions), Offering (Laboratory Instruments, Service, Software), Application, End User - Global Forecast 2025-2032
Description
The Laboratory Automation Market was valued at USD 6.79 billion in 2024 and is projected to grow to USD 7.30 billion in 2025, with a CAGR of 7.95%, reaching USD 12.53 billion by 2032.
An authoritative overview of how automation advancements and integration imperatives are redefining laboratory operations and procurement strategies
Laboratory automation is reshaping how scientific organizations design workflows, manage data, and scale operations across discovery, clinical diagnostics, and regulated testing environments. Advances in robotics, software integration, and modular system design have made automation accessible to a broader set of end users, while rising demands for throughput, reproducibility, and data integrity are driving deeper adoption across academia, industry, and clinical settings. The result is a rapid expansion of capability that requires decision-makers to rethink capital allocation, workforce skills, and validation pathways.
As institutions seek to balance agility with compliance, integration between instruments, laboratory information systems, and analytical software has become a strategic priority. Increasingly, organizations prioritize flexible solutions that can be reconfigured as protocols evolve, enabling faster response to emergent scientific needs. Concurrently, service models and software-first offerings are altering procurement dynamics, shifting some investments from one-time capital purchases toward recurring service and software subscriptions.
The introduction of modular automation solutions alongside traditional total automation platforms expands choice but introduces complexity in vendor selection, interoperability, and lifecycle management. For procurement leaders and laboratory managers, the pressing challenge is to align automation roadmaps with scientific objectives, workforce capabilities, and regulatory demands while maintaining operational resilience and cost discipline.
Key structural shifts toward modularity, data-centric operations, service-led models, and workforce-centric automation that are reshaping laboratory strategy
The laboratory automation landscape is undergoing several transformative shifts that are redefining value creation for users and vendors alike. First, modularity is gaining traction as laboratories seek flexible building blocks that support incremental investments and rapid reconfiguration. Modular automation solutions allow teams to pilot new workflows and scale capacity without committing to monolithic, single-vendor platforms, thereby lowering the barrier to entry for automation pilots.
Second, the convergence of analytics, cloud-enabled software, and laboratory information management systems is accelerating the transition from instrument-centric to data-centric laboratory operations. This shift places premium value on interoperability and standardized data models, enabling more sophisticated downstream analytics, auditability, and cross-site collaboration. Vendors that provide seamless instrument-to-software integration and robust data management will find a widening competitive moat.
Third, service-led commercial models are altering lifecycle economics. Customers increasingly evaluate total cost of ownership through the lens of uptime guarantees, remote diagnostics, and outcome-based service contracts. Lastly, workforce dynamics and regulatory complexity are influencing adoption patterns; organizations prioritize solutions that reduce operator dependency and simplify validation. Collectively, these shifts change how stakeholders evaluate risk, allocate capital, and pursue innovation.
How 2025 tariff measures have reshaped procurement calculus and supply chain strategies for laboratory automation stakeholders
The cumulative impact of United States tariff actions implemented in 2025 has introduced measurable friction across global supply chains supporting laboratory automation. Increased import duties and trade policy adjustments have elevated component and subassembly costs for many instrument categories, particularly those that rely on precision mechanical parts, specialized electronics, and high-precision optics sourced from overseas suppliers. These cost pressures have propagated through procurement channels, contributing to higher acquisition and maintenance costs for end users.
In response, manufacturers have accelerated efforts to diversify suppliers, localize critical component production, and redesign product architectures to reduce reliance on tariff-affected inputs. Such supply-chain reconfiguration often requires significant lead time and capital, prompting near-term inventory building and longer-term strategic investments in alternative sourcing and regional manufacturing. These measures mitigate exposure but also increase working capital requirements and operational complexity.
Tariff-induced cost shifts have influenced adoption timing, especially for large-scale total automation deployments that carry greater upfront hardware intensity. Conversely, modular automation and software-centric offerings have shown relative resilience, as they enable phased investments and can leverage regional service coverage to offset cross-border tariff impacts. Ultimately, the 2025 tariff environment has reinforced the strategic importance of supply chain agility, component standardization, and contractual flexibility in procurement and vendor management.
Segmentation-driven insights revealing how type, offering composition, application specificity, and end-user characteristics govern automation adoption and value realization
Segmentation analysis highlights distinct performance and adoption dynamics across product type, offering composition, application areas, and end-user profiles. Based on Type, the market divides between Modular Automation Solutions and Total Automation Solutions, where modular configurations favor incremental adoption and total automation suits high-throughput, fixed workflows. Based on Offering, the landscape includes Laboratory Instruments, Service, and Software; Laboratory Instruments encompass Automated Liquid Handling Systems, Automated Microplate Readers, Automated Sampling Systems, Automated Storage & Retrieval Systems, and Robotic Arms, with the Robotic Arms further differentiated into Cartesian Robot and SCARA Robot, each suited to particular spatial and motion control needs. The Service category is composed of Consulting Services, Installation & Maintenance, and Training & Support Services, reflecting the importance of lifecycle support and uptime assurance, while Software includes Chromatography Data System (CDS), Electronic Lab Notebook, Laboratory Information Management System (LIMS), and Scientific Data Management System (SDMS), which together form the data backbone of modern automated workflows.
Based on Application, adoption patterns vary across Clinical Diagnostics, Drug Discovery, Genomics, Microbiology, and Proteomics, with each application imposing unique throughput, sterility, and validation requirements that influence system choice and integration complexity. Based on End User, demand drivers differ across Academic & Research Institutes, Biotechnology & Pharmaceutical Companies, Environmental Testing Laboratories, Food & Beverage Industry, and Hospitals & Diagnostic Laboratories, reflecting divergent procurement cycles, regulatory pressures, and budgetary constraints. These segmentation lenses reveal that modular solutions and software services typically excel where flexibility and iterative validation are paramount, whereas total automation platforms dominate contexts requiring sustained, high-volume, and validated operations.
A regional breakdown showing how Americas, Europe Middle East & Africa, and Asia-Pacific dynamics drive differentiated adoption pathways and vendor strategies
Regional dynamics play a critical role in shaping investment, deployment cadence, and vendor strategies across the global laboratory automation landscape. In the Americas, demand tends to be driven by a mix of advanced clinical diagnostics infrastructure and deep private-sector investment in pharmaceutical research, creating opportunities for both high-throughput total automation and modular pilots that support translational research. Europe, Middle East & Africa exhibits heterogeneous adoption patterns that reflect varying regulatory frameworks, public research funding profiles, and a strong emphasis on interoperability and standardized data practices; here, flexible solutions that accommodate cross-border collaborations and diverse validation protocols find traction.
The Asia-Pacific region is characterized by rapid capacity expansion, significant public and private investment in biotechnology and genomics, and a strong emphasis on domestic manufacturing capabilities. These dynamics foster demand for scalable automation, localized service networks, and partnerships that support technology transfer. Across all regions, the interplay between local regulatory requirements, talent availability, and supply-chain resilience informs procurement strategies. Vendors that can align regional manufacturing footprints, service delivery models, and compliance support with local needs will capture the most durable opportunities and reduce deployment friction.
Analytical perspectives on how firm-level strategies, integration capabilities, and service networks determine competitive positioning and growth potential
Company-level dynamics in laboratory automation are shaped by strategic positioning across product portfolios, service capabilities, and software ecosystems. Leading vendors differentiate through integrated solutions that combine precision instrumentation with robust data platforms and outcome-focused service contracts. Competitive advantage accrues to firms that can demonstrate end-to-end validation support, strong regional service networks, and an ability to integrate third-party systems through open APIs and standardized data formats.
Smaller, specialized firms often succeed by focusing on niche instrument segments or by offering highly configurable modular components that appeal to research environments and early adopters. Partnerships and channel arrangements remain critical for scaling service coverage and local implementation expertise. Strategic M&A activity and technology alliances serve as accelerants for incumbent and emerging vendors seeking to broaden their software capabilities or to enter adjacent application areas. Ultimately, commercial success depends on balancing innovation with proven reliability, delivering measurable workflow efficiencies, and minimizing disruption during technology transitions.
Actionable recommendations focused on modular product design, supply chain resilience, software interoperability, and service-driven commercial models to capture growth
Industry leaders should pursue a balanced approach that aligns product architecture, supply chain resilience, and commercial models with evolving customer needs. Prioritize modular product designs that enable phased adoption and reduce validation risk for customers, while also offering integrated total automation packages for high-throughput environments. Invest in interoperable software and open data standards to facilitate cross-vendor integration and to support advanced analytics, ensuring that customers can easily connect instruments to laboratory information systems and downstream workflows.
Strengthening regional manufacturing and strategic supplier relationships will reduce exposure to tariff shocks and logistical disruption, while expanding local service footprints will improve uptime and customer satisfaction. Develop flexible commercial models that combine capital options with service subscriptions and outcome-based elements to address diverse purchasing preferences. Finally, enhance workforce enablement offerings, including comprehensive training and digital validation tools, to accelerate adoption and reduce operational friction. These measures will help firms capture demand across research, clinical, and industrial end users while preserving margin and customer loyalty.
A rigorous mixed-methods research approach combining primary stakeholder interviews, vendor validation, literature review, and supply-chain analysis to ensure credible insights
The research methodology underpinning this analysis relied on a structured mix of qualitative and quantitative approaches designed to ensure robust, reproducible findings. Primary research included interviews with laboratory managers, procurement leads, and technical specialists across academic, clinical, and industrial settings to capture firsthand perspectives on adoption drivers, pain points, and procurement priorities. Vendor interviews and product literature reviews complemented these insights by clarifying product roadmaps, integration strategies, and service offerings.
Secondary research encompassed a critical review of peer-reviewed literature, public regulatory guidance, and industry white papers to ground technical assertions about instrument capabilities and validation requirements. Supply-chain assessment used trade flows and component sourcing patterns to evaluate vulnerability to policy shifts and logistical disruption. Throughout the study, triangulation methods ensured consistency across sources, while scenario-based sensitivity testing explored how changes in trade policy, technology diffusion, and regional investment would alter strategic implications for stakeholders.
Concluding assessment that ties automation strategies to integration readiness, supply-chain resilience, and organizational capability to secure long-term value
In conclusion, laboratory automation is transitioning from an era of isolated instrument upgrades to one of integrated, data-centric systems that require coordinated decisions across procurement, operations, and scientific leadership. The combination of modular solutions, advanced software platforms, and service-oriented models offers pathways to accelerate throughput and improve reproducibility, but it also introduces new dependencies on data interoperability, supplier diversification, and workforce skills. External pressures, including trade policy shifts, have underscored the importance of supply-chain agility and regional manufacturing strategies.
Organizations that proactively align technology roadmaps with validation strategies, invest in interoperable software, and strengthen regional service capabilities will be best positioned to capture the productivity and quality gains offered by automation. Conversely, failure to plan for integration, maintenance, and supply-chain contingencies risks undermining potential benefits and slowing adoption. The findings emphasize the need for a strategic, phased approach to investment that balances immediate operational needs with long-term resilience and scientific ambition.
Note: PDF & Excel + Online Access - 1 Year
An authoritative overview of how automation advancements and integration imperatives are redefining laboratory operations and procurement strategies
Laboratory automation is reshaping how scientific organizations design workflows, manage data, and scale operations across discovery, clinical diagnostics, and regulated testing environments. Advances in robotics, software integration, and modular system design have made automation accessible to a broader set of end users, while rising demands for throughput, reproducibility, and data integrity are driving deeper adoption across academia, industry, and clinical settings. The result is a rapid expansion of capability that requires decision-makers to rethink capital allocation, workforce skills, and validation pathways.
As institutions seek to balance agility with compliance, integration between instruments, laboratory information systems, and analytical software has become a strategic priority. Increasingly, organizations prioritize flexible solutions that can be reconfigured as protocols evolve, enabling faster response to emergent scientific needs. Concurrently, service models and software-first offerings are altering procurement dynamics, shifting some investments from one-time capital purchases toward recurring service and software subscriptions.
The introduction of modular automation solutions alongside traditional total automation platforms expands choice but introduces complexity in vendor selection, interoperability, and lifecycle management. For procurement leaders and laboratory managers, the pressing challenge is to align automation roadmaps with scientific objectives, workforce capabilities, and regulatory demands while maintaining operational resilience and cost discipline.
Key structural shifts toward modularity, data-centric operations, service-led models, and workforce-centric automation that are reshaping laboratory strategy
The laboratory automation landscape is undergoing several transformative shifts that are redefining value creation for users and vendors alike. First, modularity is gaining traction as laboratories seek flexible building blocks that support incremental investments and rapid reconfiguration. Modular automation solutions allow teams to pilot new workflows and scale capacity without committing to monolithic, single-vendor platforms, thereby lowering the barrier to entry for automation pilots.
Second, the convergence of analytics, cloud-enabled software, and laboratory information management systems is accelerating the transition from instrument-centric to data-centric laboratory operations. This shift places premium value on interoperability and standardized data models, enabling more sophisticated downstream analytics, auditability, and cross-site collaboration. Vendors that provide seamless instrument-to-software integration and robust data management will find a widening competitive moat.
Third, service-led commercial models are altering lifecycle economics. Customers increasingly evaluate total cost of ownership through the lens of uptime guarantees, remote diagnostics, and outcome-based service contracts. Lastly, workforce dynamics and regulatory complexity are influencing adoption patterns; organizations prioritize solutions that reduce operator dependency and simplify validation. Collectively, these shifts change how stakeholders evaluate risk, allocate capital, and pursue innovation.
How 2025 tariff measures have reshaped procurement calculus and supply chain strategies for laboratory automation stakeholders
The cumulative impact of United States tariff actions implemented in 2025 has introduced measurable friction across global supply chains supporting laboratory automation. Increased import duties and trade policy adjustments have elevated component and subassembly costs for many instrument categories, particularly those that rely on precision mechanical parts, specialized electronics, and high-precision optics sourced from overseas suppliers. These cost pressures have propagated through procurement channels, contributing to higher acquisition and maintenance costs for end users.
In response, manufacturers have accelerated efforts to diversify suppliers, localize critical component production, and redesign product architectures to reduce reliance on tariff-affected inputs. Such supply-chain reconfiguration often requires significant lead time and capital, prompting near-term inventory building and longer-term strategic investments in alternative sourcing and regional manufacturing. These measures mitigate exposure but also increase working capital requirements and operational complexity.
Tariff-induced cost shifts have influenced adoption timing, especially for large-scale total automation deployments that carry greater upfront hardware intensity. Conversely, modular automation and software-centric offerings have shown relative resilience, as they enable phased investments and can leverage regional service coverage to offset cross-border tariff impacts. Ultimately, the 2025 tariff environment has reinforced the strategic importance of supply chain agility, component standardization, and contractual flexibility in procurement and vendor management.
Segmentation-driven insights revealing how type, offering composition, application specificity, and end-user characteristics govern automation adoption and value realization
Segmentation analysis highlights distinct performance and adoption dynamics across product type, offering composition, application areas, and end-user profiles. Based on Type, the market divides between Modular Automation Solutions and Total Automation Solutions, where modular configurations favor incremental adoption and total automation suits high-throughput, fixed workflows. Based on Offering, the landscape includes Laboratory Instruments, Service, and Software; Laboratory Instruments encompass Automated Liquid Handling Systems, Automated Microplate Readers, Automated Sampling Systems, Automated Storage & Retrieval Systems, and Robotic Arms, with the Robotic Arms further differentiated into Cartesian Robot and SCARA Robot, each suited to particular spatial and motion control needs. The Service category is composed of Consulting Services, Installation & Maintenance, and Training & Support Services, reflecting the importance of lifecycle support and uptime assurance, while Software includes Chromatography Data System (CDS), Electronic Lab Notebook, Laboratory Information Management System (LIMS), and Scientific Data Management System (SDMS), which together form the data backbone of modern automated workflows.
Based on Application, adoption patterns vary across Clinical Diagnostics, Drug Discovery, Genomics, Microbiology, and Proteomics, with each application imposing unique throughput, sterility, and validation requirements that influence system choice and integration complexity. Based on End User, demand drivers differ across Academic & Research Institutes, Biotechnology & Pharmaceutical Companies, Environmental Testing Laboratories, Food & Beverage Industry, and Hospitals & Diagnostic Laboratories, reflecting divergent procurement cycles, regulatory pressures, and budgetary constraints. These segmentation lenses reveal that modular solutions and software services typically excel where flexibility and iterative validation are paramount, whereas total automation platforms dominate contexts requiring sustained, high-volume, and validated operations.
A regional breakdown showing how Americas, Europe Middle East & Africa, and Asia-Pacific dynamics drive differentiated adoption pathways and vendor strategies
Regional dynamics play a critical role in shaping investment, deployment cadence, and vendor strategies across the global laboratory automation landscape. In the Americas, demand tends to be driven by a mix of advanced clinical diagnostics infrastructure and deep private-sector investment in pharmaceutical research, creating opportunities for both high-throughput total automation and modular pilots that support translational research. Europe, Middle East & Africa exhibits heterogeneous adoption patterns that reflect varying regulatory frameworks, public research funding profiles, and a strong emphasis on interoperability and standardized data practices; here, flexible solutions that accommodate cross-border collaborations and diverse validation protocols find traction.
The Asia-Pacific region is characterized by rapid capacity expansion, significant public and private investment in biotechnology and genomics, and a strong emphasis on domestic manufacturing capabilities. These dynamics foster demand for scalable automation, localized service networks, and partnerships that support technology transfer. Across all regions, the interplay between local regulatory requirements, talent availability, and supply-chain resilience informs procurement strategies. Vendors that can align regional manufacturing footprints, service delivery models, and compliance support with local needs will capture the most durable opportunities and reduce deployment friction.
Analytical perspectives on how firm-level strategies, integration capabilities, and service networks determine competitive positioning and growth potential
Company-level dynamics in laboratory automation are shaped by strategic positioning across product portfolios, service capabilities, and software ecosystems. Leading vendors differentiate through integrated solutions that combine precision instrumentation with robust data platforms and outcome-focused service contracts. Competitive advantage accrues to firms that can demonstrate end-to-end validation support, strong regional service networks, and an ability to integrate third-party systems through open APIs and standardized data formats.
Smaller, specialized firms often succeed by focusing on niche instrument segments or by offering highly configurable modular components that appeal to research environments and early adopters. Partnerships and channel arrangements remain critical for scaling service coverage and local implementation expertise. Strategic M&A activity and technology alliances serve as accelerants for incumbent and emerging vendors seeking to broaden their software capabilities or to enter adjacent application areas. Ultimately, commercial success depends on balancing innovation with proven reliability, delivering measurable workflow efficiencies, and minimizing disruption during technology transitions.
Actionable recommendations focused on modular product design, supply chain resilience, software interoperability, and service-driven commercial models to capture growth
Industry leaders should pursue a balanced approach that aligns product architecture, supply chain resilience, and commercial models with evolving customer needs. Prioritize modular product designs that enable phased adoption and reduce validation risk for customers, while also offering integrated total automation packages for high-throughput environments. Invest in interoperable software and open data standards to facilitate cross-vendor integration and to support advanced analytics, ensuring that customers can easily connect instruments to laboratory information systems and downstream workflows.
Strengthening regional manufacturing and strategic supplier relationships will reduce exposure to tariff shocks and logistical disruption, while expanding local service footprints will improve uptime and customer satisfaction. Develop flexible commercial models that combine capital options with service subscriptions and outcome-based elements to address diverse purchasing preferences. Finally, enhance workforce enablement offerings, including comprehensive training and digital validation tools, to accelerate adoption and reduce operational friction. These measures will help firms capture demand across research, clinical, and industrial end users while preserving margin and customer loyalty.
A rigorous mixed-methods research approach combining primary stakeholder interviews, vendor validation, literature review, and supply-chain analysis to ensure credible insights
The research methodology underpinning this analysis relied on a structured mix of qualitative and quantitative approaches designed to ensure robust, reproducible findings. Primary research included interviews with laboratory managers, procurement leads, and technical specialists across academic, clinical, and industrial settings to capture firsthand perspectives on adoption drivers, pain points, and procurement priorities. Vendor interviews and product literature reviews complemented these insights by clarifying product roadmaps, integration strategies, and service offerings.
Secondary research encompassed a critical review of peer-reviewed literature, public regulatory guidance, and industry white papers to ground technical assertions about instrument capabilities and validation requirements. Supply-chain assessment used trade flows and component sourcing patterns to evaluate vulnerability to policy shifts and logistical disruption. Throughout the study, triangulation methods ensured consistency across sources, while scenario-based sensitivity testing explored how changes in trade policy, technology diffusion, and regional investment would alter strategic implications for stakeholders.
Concluding assessment that ties automation strategies to integration readiness, supply-chain resilience, and organizational capability to secure long-term value
In conclusion, laboratory automation is transitioning from an era of isolated instrument upgrades to one of integrated, data-centric systems that require coordinated decisions across procurement, operations, and scientific leadership. The combination of modular solutions, advanced software platforms, and service-oriented models offers pathways to accelerate throughput and improve reproducibility, but it also introduces new dependencies on data interoperability, supplier diversification, and workforce skills. External pressures, including trade policy shifts, have underscored the importance of supply-chain agility and regional manufacturing strategies.
Organizations that proactively align technology roadmaps with validation strategies, invest in interoperable software, and strengthen regional service capabilities will be best positioned to capture the productivity and quality gains offered by automation. Conversely, failure to plan for integration, maintenance, and supply-chain contingencies risks undermining potential benefits and slowing adoption. The findings emphasize the need for a strategic, phased approach to investment that balances immediate operational needs with long-term resilience and scientific ambition.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
188 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-powered robotic systems streamlines high-throughput screening workflows in pharmaceutical research
- 5.2. Integration of IoT-enabled sensors and cloud-based LIMS enhances remote laboratory monitoring and data analytics
- 5.3. Emergence of modular microfluidic automation platforms accelerates personalized medicine and point-of-care testing
- 5.4. Implementation of digital twin technology for real-time simulation and optimization of laboratory processes
- 5.5. Growing demand for sustainable lab automation solutions reduces waste and energy consumption in research facilities
- 5.6. Utilization of machine learning algorithms for predictive maintenance of automated laboratory equipment and instruments
- 5.7. Expansion of integrated end-to-end automated workflows combining sample preparation with mass spectrometry analysis
- 5.8. Advancement in mobile robotic laboratories enables on-site environmental testing and rapid field diagnostics
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Laboratory Automation Market, by Type
- 8.1. Modular Automation Solutions
- 8.2. Total Automation Solutions
- 9. Laboratory Automation Market, by Offering
- 9.1. Laboratory Instruments
- 9.1.1. Automated Liquid Handling Systems
- 9.1.2. Automated Microplate Readers
- 9.1.3. Automated Sampling Systems
- 9.1.4. Automated Storage & Retrieval Systems
- 9.1.5. Robotic Arms
- 9.1.5.1. Cartesian Robot
- 9.1.5.2. SCARA Robot
- 9.2. Service
- 9.2.1. Consulting Services
- 9.2.2. Installation & Maintenance
- 9.2.3. Training & Support Services
- 9.3. Software
- 9.3.1. Chromatography Data System (CDS)
- 9.3.2. Electronic Lab Notebook
- 9.3.3. Laboratory Information Management System (LIMS)
- 9.3.4. Scientific Data Management System (SDMS)
- 10. Laboratory Automation Market, by Application
- 10.1. Clinical Diagnostics
- 10.2. Drug Discovery
- 10.3. Genomics
- 10.4. Microbiology
- 10.5. Proteomics
- 11. Laboratory Automation Market, by End User
- 11.1. Academic & Research Institutes
- 11.2. Biotechnology & Pharmaceutical Companies
- 11.3. Environmental Testing Laboratories
- 11.4. Food & Beverage Industry
- 11.5. Hospitals & Diagnostic Laboratories
- 12. Laboratory Automation Market, by Region
- 12.1. Americas
- 12.1.1. North America
- 12.1.2. Latin America
- 12.2. Europe, Middle East & Africa
- 12.2.1. Europe
- 12.2.2. Middle East
- 12.2.3. Africa
- 12.3. Asia-Pacific
- 13. Laboratory Automation Market, by Group
- 13.1. ASEAN
- 13.2. GCC
- 13.3. European Union
- 13.4. BRICS
- 13.5. G7
- 13.6. NATO
- 14. Laboratory Automation Market, by Country
- 14.1. United States
- 14.2. Canada
- 14.3. Mexico
- 14.4. Brazil
- 14.5. United Kingdom
- 14.6. Germany
- 14.7. France
- 14.8. Russia
- 14.9. Italy
- 14.10. Spain
- 14.11. China
- 14.12. India
- 14.13. Japan
- 14.14. Australia
- 14.15. South Korea
- 15. Competitive Landscape
- 15.1. Market Share Analysis, 2024
- 15.2. FPNV Positioning Matrix, 2024
- 15.3. Competitive Analysis
- 15.3.1. ABB Ltd.
- 15.3.2. Abbott Laboratories
- 15.3.3. Agilent Technologies, Inc.
- 15.3.4. Beckman Coulter by Danaher Corporation
- 15.3.5. BECTON, DICKINSON AND COMPANY
- 15.3.6. BioMérieux SA
- 15.3.7. Biosero by BICO Group AB
- 15.3.8. Brooks Automation, Inc.
- 15.3.9. Bruker Corporation
- 15.3.10. Endress+Hauser Group Services AG
- 15.3.11. Eppendorf AG
- 15.3.12. ESSERT GmbH
- 15.3.13. F. Hoffmann-La Roche Ltd.
- 15.3.14. Hamilton Company
- 15.3.15. Hudson Robotics Inc.
- 15.3.16. Illumina, Inc.
- 15.3.17. Inpeco SA
- 15.3.18. Merck & Co., Inc.
- 15.3.19. Mettler-Toledo International Inc.
- 15.3.20. Panasonic Corporation
- 15.3.21. QIAGEN N.V.
- 15.3.22. Revvity, Inc.
- 15.3.23. Scitara Corporation
- 15.3.24. Siemens AG
- 15.3.25. Synchron Lab Automation by MolGen
- 15.3.26. Sysmex Corporation
- 15.3.27. Tecan Group Ltd.
- 15.3.28. Thermo Fisher Scientific Inc.
- 15.3.29. Waters Corporation
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