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How much does lab automation actually cost?

Real price ranges for liquid handlers and integrated systems — plus the hidden costs that dwarf the sticker.

By Robot on Rails · Updated 2026-06-23

Short answer

A standalone automated liquid handler typically runs $20k–$200k+; a fully integrated system with plate movers, storage, and scheduling software can reach $500k or more. Used equipment from major brands can cut hardware cost by up to 60%. But hardware is rarely the biggest line — integration, support contracts, consulting, and the scientist time to program and maintain it often cost as much again.

Hardware: the sticker price

Published price ranges for the hardware itself [1][2]:

Used handler
up to ~60% off
New liquid handler
$20k–$200k+
Integrated system
up to $500k+
Indicative ranges from public equipment pricing — actual cost depends on throughput and configuration.

The hidden costs that dwarf the sticker

The machine is the part everyone budgets for. The parts they don't:

Buying used

Used systems from major brands (Tecan, Hamilton, Beckman) can save up to 60% on hardware [3] — a real option for a stable, well-understood workflow. The caveats: verify calibration, confirm support and spare-parts availability, and budget for any integration the original owner had done for free.

The market context: automation is going mainstream

These prices are falling in real terms as the category scales. The laboratory-automation market was worth roughly $8–9 billion in 2025 and is projected to reach about $20–24 billion by the mid-2030s [4] — a signal that automating the bench is shifting from a specialist purchase to a mainstream one.

Lab-automation market, 2025
~$8–9B
Projected by mid-2030s
~$20–24B
Laboratory automation market size, Fortune Business Insights [4].

How to think about total cost

💸

The honest metric isn't the price of the machine — it's the total cost per result over the years you'll run it, including the people who keep it running.

A cheaper box that needs a full-time specialist can cost more than a pricier system a scientist can run directly. Weigh capital, recurring fees, and human time together. Start by picking the right first workflow →

See it on your bench → Book a demo