Which industries benefit from lab automation?

Lab automation is widely used across:

• Life sciences (pharma and biotech)
• Clinical diagnostics and healthcare
• Materials and chemicals
• Energy and renewables
• Manufacturing and industrial R&D
• Academic and research institutions

The pharmaceutical and biotechnology sectors are among the earliest adopters of lab automation.

Automation is commonly used for:

• Drug discovery and high-throughput screening
• Sample preparation and compound testing
• Data analysis and workflow integration

Automated systems can process thousands of samples and experiments significantly faster than manual workflows, accelerating discovery timelines and improving reproducibility.

In clinical and diagnostic settings, automation helps manage large sample volumes and strict accuracy requirements.

Typical use cases include:

• Blood and diagnostic testing
• Sample tracking and handling
• Data recording and reporting

Automation improves consistency and reduces human error, which is critical for patient outcomes and regulatory compliance.

Materials science and chemical R&D labs use automation to handle complex formulation and testing workflows.

Examples include:

• Coatings and adhesive formulation
• Polymer and composite development
• Catalyst and chemical screening

Automation allows labs to run large volumes of formulation experiments and generate structured data for analysis, significantly accelerating innovation.

Automation is increasingly important in energy-related industries, particularly for:

• Battery research and testing
• Energy storage systems
• Biofuel development
• Petrochemical analysis

For example, battery labs use automation to standardise cell assembly and testing, improving reproducibility and throughput in energy storage research.

In industrial and manufacturing environments, automation is used to improve:

• Quality control testing
• Product validation
• Process optimisation

R&D labs within manufacturing settings often rely on automation to continuously test materials and formulations, supporting Industry 4.0 initiatives.

Yes. Academic institutions and research facilities are increasingly adopting automation.

Use cases include:

• High-throughput experimentation
• Materials discovery
• Data-intensive research projects

Automation helps researchers handle larger datasets and conduct experiments at a scale that would be impractical manually.

Industries gain the most value when they experience:

• High sample volumes
• Repetitive workflows
• Complex data handling requirements
• Pressure to scale or accelerate R&D

This is why sectors like pharma, diagnostics, materials science, and energy are leading adopters of automation.

Yes. Automation is expanding beyond traditional lab environments.

New applications include:

• Remote “cloud labs” where experiments are run via software
• AI-integrated research platforms
• Cross-disciplinary research environments combining biology, chemistry, and engineering

These developments reflect a broader shift towards fully connected, data-driven laboratories.

Your lab may benefit from automation if you are experiencing:

• Bottlenecks in sample processing
• Repetitive manual tasks
• Inconsistent or variable results
• Difficulty scaling operations
• Increasing demand for faster turnaround times

These challenges are common across many industries, which is why automation adoption continues to grow globally.

Lab automation is not limited to one sector, it is a cross-industry solution used wherever precision, scale, and efficiency are critical.

From pharmaceutical R&D to energy storage and advanced materials, automation is enabling laboratories to:

• Work faster
• Reduce errors
• Generate higher-quality data
• Scale with demand