What is the Life Science Laboratory Automation Market Size?
The global life science laboratory automation market is expanding due to rising demand for high-throughput testing, precision workflows, and reduced manual errors.The life science laboratory automation market is driven by rising demand for high-throughput workflows, AI-enabled lab systems, expanding biopharma research, and the shift toward precision, error-free, and scalable laboratory operations.
Market Highlights
- North America led the life science laboratory automation market with approximately 46.8% share in 2025.
- The Asia Pacific is expected to expand the fastest CAGR of 9% between 2026 and 2035.
- By product/ component, the hardware segment captured around 53.6% of market share in 2025.
- By product/ component, the software segment is expanding at a strong CAGR of 8.4% between 2026 and 2035.
- By technology /instrument type, the liquid-handling & pipetting robots segment held approximate 38.6% market share in 2025.
- By technology /instrument type, the automated sample prep / NGS library-prep systems segment is projected to grow at a CAGR of 8.3% between 2026 and 2035.
- By application, the drug discovery & HTS segment contributed the biggest market share of 47.8% in 2025.
- By application, the Cloud / SaaS-Based segment is growing at a CAGR of 8% between 2026 and 2035.
- By end-user, the pharmaceutical & biotechnology companies segment held the major market share of 40.4% in 2025.
- By end-user, the clinical & diagnostic laboratories segment is expected to expand at the highest CAGR of 8.1% between 2026 and 2035.
- By deployment / integration model, the integrated / walk-away automation systems segment generated the biggest market share of 42.4% in 2025.
- By deployment / integration model, the Cloud-enabled orchestration / SaaS segment is expanding the fastest CAGR of 8.2% between 2026 and 2035.
The Future of Automated Laboratory Automation in the Life Sciences: What Factors Will Drive Its Growth?
Through robotics, software , and integrated instruments in the life science laboratory, technology has been developed that automates the laboratory workflow to streamline, standardize, and speed up processes. Automation also allows for fewer errors, higher productivity in laboratories, and more reliable data from research and diagnostics and drug development.
Laboratories are moving towards a more efficient, higher-throughput laboratory environment where all of a labs tasks are digitally managed; as a result, they are experiencing strong momentum. Increased demand for greater accuracy and efficiency in drug discovery, the growing number of genomics and proteomics workflows, and the ever-increasing adoption of A.I. platforms for automating complex assays are all driving the growth of this market. Organizations are increasingly focusing on lab productivity, regulatory compliance, and sample traceability to drive the need to upgrade from manual laboratory processes.
Smart Laboratories Surge: Artificial Intelligence Bringing Life Science Labs Back to Life
The automation of life science laboratories is changing rapidly as artificial intelligence advances. Self-driving laboratories, or laboratories augmented with artificial intelligence , will enable drugs in development, diagnostics, and biotechnology research to be discovered and developed more quickly and consistently than they are today.
- In March 2024, Cognizant established an Advanced AI Laboratory to spur innovation by applying artificial intelligence to research in AI. This shows the desire to establish the newest generation of AI systems.
- In addition, AICA received seed funding in March 2025 to expand its AI-powered automation platform, indicating increased investment across sectors (including life sciences) in robotics and automation technology.
Artificial intelligence will help laboratories become more advanced by enabling them to analyze large amounts of data, predict the outcome of experiments, optimize production processes, minimize the risk of human error, and help researchers spend more time innovating rather than performing repetitive tasks.
Trends in Life Science Laboratory Automation Market
- Artificial Intelligence (AI) as an Automation Process: Artificial Intelligence (AI) is being used for solving numerous laboratory activities, including planning your experiments, identifying errors that occur during your experiment, and optimizing your laboratory processes. The use of AI tools enhances reproducibility by speeding up and improving the processing of laboratory data. AI tools also enable more automated data interpretation and the automation of work processes across genomics, drug discovery , and molecular analysis.
- Modular Automation Systems: With the need to grow and change within the laboratory environment, laboratories are increasingly adopting modular automation systems, or modular automation platform solutions that provide the flexibility and configurability to accommodate changing research demands. Modular automation systems can be set up or changed very rapidly, support multiple assay configurations, and improve overall operational efficiency in the lab.
- Cloud Data Integration: Cloud data integration allows your teams to access their laboratory data, monitor experimental results in real time, and collaborate effectively across teams regardless of their location. Cloud connectivity improves laboratory data traceability, provides seamless data synchronization between Laboratory Information Management Systems (LIMS) and Electronic Laboratory Notebooks (ELNs), and improves the governance of laboratory data across complex workflows.
- High Throughput Robotics: Automated liquid handling devices and high-throughput robotic arms accelerate laboratory processes, sample analysis/screening, and data analysis, thereby reducing manual variability, increasing laboratory throughput capacity, and automating the most demanding laboratory workloads for drug discovery and genomic research.
Market Scope
| Report Coverage | Details |
| Dominating Region | North America |
| Fastest Growing Region | Asia Pacific |
| Base Year | 2025 |
| Forecast Period | 2026 to 2035 |
| Segments Covered | Deployment Model, Function, End User, Application, and Region |
| Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
Life Science Laboratory Automation Market Segment Insights
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Life Science Laboratory Automation Market Regional Insights
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Life Science Laboratory Automation Market Value Chain
Life Science Laboratory Automation Market Companies
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Recent Developments
- In July 2025, Merck (via MilliporeSigma) launched the AA Automated Assay Workstation, powered by Opentrons Labworks, Inc., to automate routine lab assays, reducing manual workload and boosting reproducibility across protein , molecular, and cell-biology workflows.(Source: https://www.merckgroup.com )
- In October 2025, Adaptyv Biosystems raised USD 8 million in seed funding to launch a cloud-based automated lab platform for validating AI-designed proteins, enabling remote design-test-learn cycles and scaling protein engineering workflows.(Source: https://ggba.swiss )
- In November 2025, Integrated DNA Technologies (IDT) and Beckman Coulter Life Sciences announced a partnership to automate IDTs NGS assays using the new Biomek i3 benchtop liquid handler, streamlining genomic workflows for oncology and genetic-disease research with higher throughput and reproducibility.(Source: https://www.businesswire.com )
- In September 2025, Lila Sciences secured a US$235 million Series A funding round (bringing the total to US$550 million) to expand its AI Science Factories: autonomous, AI-driven research labs that aim to run the full scientific method, hypothesis, experiment, and learning at scale across biology, chemistry, and materials science.(Source: https://www.fiercebiotech.com )
- In March 2025, Thermo Fisher Scientific launched the Vulcan Automated Lab, a robotics-and AI-driven system to automate atomic-scale TEM metrology for semiconductor manufacturing, boosting data throughput and reducing costs.(Source: https://www.businesswire.com )
Exclusive Insights
According to analyst observations, the life sciences laboratory automation market is heading for continued growth due to demand for higher-throughput labs, increased reproducibility, and the use of AI analytics. Clinical diagnostics and biopharmaceutical R&D adoption will accelerate due to shorter cycle times and reduced operational costs enabled by automation. Still, the capital-intensive nature of automation and its limited interoperability with legacy systems pose barriers for some laboratories. Companies offering modular, cloud-based solutions with strong validation packages have the greatest opportunity to be successful with enterprise customers.
Opportunities exist in areas such as decentralized testing and single-use solutions for automation and software-as-a-service offerings associated with consumables. Regulatory compliance, workforce retraining, and reskilling will play a large role in how quickly laboratories transition from pilots to large-scale usage. Data security and supply chain stability are also important considerations.
Life Science Laboratory Automation MarketSegments Covered in the Report
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