Laboratory Design Trends 2026 and Beyond
How Science and Technology Research Trends Are Reshaping UK Science Facilities
In my previous article, Science and Technology Research Trends 2026 & Beyond, I outlined key developments in life sciences and technology research and what they mean for the infrastructure that supports them. This article goes further, translating those trends into practical implications for laboratory design and development.
1. Science and Technology Trends Shaping Laboratories
Several converging trends will shape how UK laboratories are conceived and delivered over the next 5–10 years.
AI-driven and autonomous discovery
Autonomous laboratories – combining robotics with AI planning- are moving from prototype projects to national infrastructure. Examples include Liverpool’s Materials Innovation Factory and emerging AI materials hubs. National strategies now explicitly support closed-loop experimentation, where AI designs, runs and analyses experiments, compressing weeks of work into days.
Deep specialisms in key sectors
Government and industry are aligning funding around engineering biology, drug discovery, advanced materials, fusion energy and quantum technologies. Each area requires highly specialised – but still reconfigurable – space. Estates teams must therefore plan for both niche infrastructure (such as high-field equipment and shielded environments) and rapid changes in research programmes.
Digital-first science
Funding streams increasingly prioritise AI-ready data, integrated modelling and access to advanced computing. As a result, laboratories are becoming physical–digital hybrids, requiring resilient connectivity, secure data infrastructure, and space for both hardware and digital collaboration.
2. Emerging Laboratory Types, Equipment and Services
Autonomous and high-throughput laboratories
Laboratories built around robotic platforms, automated sample handling and high-throughput screening will proliferate. These environments require generous circulation space, clear separation between robots and people, robust safety systems, and dense utility provision.
Data-intensive and computation-rich laboratories
Facilities must accommodate high-performance computing racks, edge servers and advanced networking to support AI workflows and simulation-heavy disciplines such as fusion and quantum research. This creates new demands for power density, cooling and acoustic control.
3. Implications for Laboratory Design and Space
The defining shift in UK laboratory design is the move from static, purpose-built rooms to adaptable, digitally integrated environments. The traditional model – fixed benches, fixed utility connections and highly specialised rooms – is being fundamentally rethought.
Industry commentary citing JLL’s Life Sciences Real Estate Outlook 2026 indicates that 82% of UK laboratory occupiers prioritise flexibility in new builds and refurbishments.
Flexible, modular layouts
Open-plan laboratories with modular furniture, plug-and-play utilities and movable casework are becoming the default. These enable rapid reconfiguration without major capital works. Ceiling-mounted service spines, movable partitions and mobile benches allow teams to shift between individual, collaborative and automated workflows within the same footprint.
Designing for adaptability
Rather than creating single-purpose chemistry or biology labs, many projects now deliver multi-use “future-ready” shells that can support different functions over time. Services, environmental controls and spatial arrangements can then be adjusted as needs evolve, making it easier to respond to shifting funding priorities.
The converging wet/dry laboratory
Life sciences facilities are shifting from wet-lab-dominant models to integrated environments where wet labs, dry labs, clinical data processing and bioinformatics sit side by side. Traditional 70:30 or 60:40 wet-to-dry ratios are giving way to near parity, with flexibility built in.
This shift is not just spatial – it requires a new services strategy. Dry labs need high-bandwidth data and tightly controlled temperatures, while wet labs require drainage, gases and containment. Both must operate seamlessly together.
Balancing write-up, collaboration and specialist space
Data-rich, AI-enabled science increases demand for high-quality write-up areas, collaboration hubs and quiet analysis zones. Shared support spaces – such as equipment rooms, clean utility zones and robotics bays – are also becoming more common to maximise utilisation of high-value assets.
4. The ‘Lab as Data Centre’ Challenge
One of the most significant shifts in laboratory design is the growing convergence between laboratories and data centres. As more organisations adopt on-premises computing for reasons of speed, security or cost, laboratories increasingly function like data centres – requiring higher power density, specialist cooling and advanced heat rejection systems that standard laboratory specifications do not accommodate.
AI-driven R&D, bioinformatics and fully autonomous “dark labs” (human-free environments reliant on robotic systems) are all driving energy demand sharply upwards. Resilience to building-level power failures – once a niche concern – is now a central design issue.
5. Sustainability: A Non-negotiable Constraint
Laboratories already consume three to five times more energy per square metre than commercial offices, largely due to HVAC systems and 24/7 equipment loads. Net zero targets, rising energy costs and ESG requirements are converging to make sustainability a primary design driver.
The challenge is clear: the same trends that increase scientific capability – automation, AI integration, genomics and advanced imaging – also increase energy demand. Reconciling scientific ambition with carbon commitments will require innovation in heat recovery, renewable energy integration and intelligent building management well beyond current norms.
6. Planning Benchmarks for Autonomous Laboratories
Modular autonomous laboratories require more generous clearances, vertical space and service capacity than conventional bench labs. However, well-designed robotic “pods” can reduce the footprint per experiment by condensing workflows.
Key planning principles include:
- Start with standard laboratory benchmarks, then upscale for robotics. UK guidance typically assumes ~10–15 m² per person for general research labs. In autonomous environments, the planning unit shifts from people to robotic cells – so design around pods and circulation, not headcount.
- Use repeatable pods with standardised MEP distribution (power, data, gases, exhaust), allowing any pod to host either benches or robotic systems.
- Design compact, high-performance cells with the smallest viable footprint, supported by shared circulation and service zones.
- Indicative space per pod: Small benchtop or enclosed robotic cell: ~4–8 m² & Larger floor-mounted or integrated workcell: ~10–20 m²
- Design for full robotic movement envelopes, not human reach, with appropriate guarding and safety systems.
7. Human-Centric vs Robotic Laboratories
Human-centric laboratories are organised around people and ergonomics. Robotic laboratories are organised around equipment, movement paths and system performance.
The key difference is not just density, but what drives the layout: human interaction versus automated workflow efficiency.
| Aspect | Human-centric lab | Robotic / autonomous lab |
|---|---|---|
| Planning unit | Person / FTE and workstation | Robotic cell / workcell and shared infrastructure |
| Typical size | ~10–15 m² per person (general); 15–20+ m² (specialist) | ~4–8 m² (benchtop cell); ~10–20 m² (robotic pod with safety access) |
| Layout driver | Human reach, ergonomics, safe circulation | Robot arm sweep, AMR/AGV paths, equipment footprints and safety zones |
| Circulation | Aisles sized for people and trolleys | Wider, straighter routes optimised for mobile robots and material flow |
| Height and services | Standard bench height; moderate overhead services | Extra clear height; dense overhead services; higher power/data per pod |
| Flexibility | Move people and benches within human module | Retask pods between benches and robots; reroute workflows digitally |
| Human role | People physically perform most bench steps | People supervise, programme, and intervene; robots execute repetitive tasks |
8. Safety Regulations and Spatial Implications
Human laboratories are governed primarily by occupational health, fire safety and containment requirements. Robotic laboratories must also comply with machinery and robot safety standards, which introduce dynamic safety zones around moving equipment.
This directly affects aisle widths, clearances, barriers and sensing zones.
Net spatial effects include:
- Wider, straighter circulation routes to accommodate mobile robots
- Larger safety envelopes around robotic systems
- Additional zoning based on autonomy level
- More dynamic, movement-based safety space compared to static human layouts
9. Next-Generation Laboratory Design: Key Characteristics
The most advanced UK laboratory developments in 2026 share several defining characteristics:
- Designed on the assumption that requirements will change within five years
- Flexible structural grids, adaptable HVAC zoning and increased electrical capacity
- Digital infrastructure embedded from day one
- Fully integrated workflows combining wet lab, computational and write-up functions
- Safety treated as a primary spatial driver, particularly in robotic environments
- A shift in estates strategy—from accommodating people to optimising scientific output per pod, per kilowatt and per square metre
Conclusion:
Laboratories are no longer static containers for science – they are becoming active systems within it. As AI, automation and data reshape how scientific research is conducted, the design of laboratory environments will increasingly determine the speed, efficiency and impact of discovery itself. The challenge for the UK is not simply to build more labs, but to build the right kind: flexible, data-rich, and capable of evolving as quickly as the science they support.
If you’d like to discuss how your organisation is thinking about its research environment or explore what these trends might mean for your next project we’d love to hear from you.
Dr Manisha Kulkarni, Director of Science & Technology manisha.kulkarni@bulbinteriors.com | 07825 332406
Glossary
| Term | Long form / meaning |
|---|---|
| Closed-Loop Experimentation |
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| AMR |
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| MEP |
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| HVAC |
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| Wet Lab |
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| Dry Lab |
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| Robotic Cell / Pod |
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