Laboratory Automation Market Growth Study, Future Trends, Demands, and Top Players Data by Forecast to 2030
Laboratory Automation Market Overview:
The global laboratory
automation market is projected to grow at a CAGR of approximately 7%
over the forecast period. Growth is being fueled by the increasing integration
of automation, artificial intelligence (AI), and machine learning (ML) into
laboratory workflows, the operational and economic advantages of automation,
ongoing technological advancements, and rising healthcare expenditure
worldwide. However, challenges such as technological skill gaps, shortages of
trained healthcare professionals, and slower adoption among small and
medium-sized laboratories may restrain market expansion.
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Laboratory automation refers to the use of automated
instruments and software to perform laboratory tasks with minimal human
intervention. Routine and repetitive activities—such as sample preparation,
test execution, and data entry—are increasingly managed by automated systems.
This transition enhances productivity, improves accuracy, reduces errors, and
streamlines overall laboratory workflows. As technologies continue to evolve,
even complex procedures and end-to-end workflows are becoming automated.
From Manual Processes to Intelligent
Automation
Over the past decade, automation has become integral to
laboratories worldwide, gradually replacing manual operations across scientific
disciplines. Automation of processes, workflows, and data management has
enabled laboratories to reduce downtime, improve operational stability, and
optimize efficiency. As a result, laboratories are achieving higher
productivity while fostering innovation.
The market has witnessed continuous product innovation.
For example:
- In April 2025, QIAGEN announced the launch of three new sample
preparation instruments—QIAsymphony Connect, QIAsprint Connect, and
QIAmini—planned through 2026. These systems are designed to enhance
automation across varying throughput requirements, streamline workflows,
improve efficiency, and reduce manual intervention.
- In January 2025, ABB Robotics partnered with Agilent Technologies to
develop automated laboratory solutions integrating advanced robotics with
analytical instruments, aiming to enhance precision, flexibility, and
efficiency across industrial laboratory settings.
- In March 2022, Biosero, Inc. expanded its automation portfolio by
introducing new products and features within its Green Button Go software
suite, enabling scientists to automate workflows ranging from single
workstations to multi-laboratory operations.
Automation, AI, and ML: Transforming
Laboratory Operations
Automation, AI, and machine learning are poised to
significantly reshape laboratory management and operations. Clinical
laboratories and healthcare systems often face workforce shortages, financial
constraints, and staff burnout. In this context, automation and AI-driven
workflows are emerging as strategic solutions.
The integration of AI with automation reduces manual
testing steps, streamlines logistics, enhances accessibility, and optimizes
resource allocation. Automated processes help minimize downtime, improve
consistency, and boost overall efficiency—allowing laboratories to focus more
on innovation and quality improvements.
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Recent developments illustrate this momentum:
- In July 2024, Inpeco introduced FlexLab X at ADLM 2024 in Chicago.
This total laboratory automation system offers enhanced flexibility by
enabling integration of analyzers from multiple vendors through a
user-friendly interface, thereby improving workflow efficiency.
- In July 2023, Siemens Healthineers launched the Atellica CI
Analyzer, a compact system combining immunoassay and clinical chemistry
testing. Designed to address labor shortages, it improves turnaround time
predictability, reporting functionality, and safety while automating
routine tasks.
Machine learning is also expected to play a pivotal
role in advancing molecular diagnostics. ML-based diagnostic tools can simplify
and accelerate research and development processes, enabling rapid responses to
evolving testing needs. Laboratories worldwide are leveraging AI and ML to
automate workflows, triage and prioritize samples, differentiate between
medical conditions, validate results, and conduct quality assurance checks.
Industry leaders echo this trend. A Director and Chair
of a Medical Advisory Committee at a leading pathology lab in Germany noted
that automation was progressing steadily before COVID-19 and accelerated
significantly during the pandemic, with providers increasingly exploring full
automation. Similarly, the CEO of a U.S.-based diagnostics technology company
highlighted that automation enables faster data aggregation and deeper
analytical insights that may otherwise go undetected.
Key Challenges Hindering Market Growth
Despite promising advancements, several barriers
persist. Modern laboratory automation relies on sophisticated software systems
capable of managing test orders, tracking specimen routing, ensuring quality
consistency, and detecting equipment malfunctions or protocol deviations.
Transitioning from manual processes to automated systems requires laboratory
personnel to acquire new technical skills.
A significant skill gap in operating advanced equipment
and software—combined with a shortage of trained healthcare professionals—poses
a major challenge to widespread adoption. Furthermore, high maintenance and
service costs associated with laboratory informatics solutions have slowed
adoption among small and medium-sized laboratories. Many such laboratories
remain cautious due to budget constraints and limited evidence demonstrating
the long-term cost-effectiveness of automation technologies.
Competitive Landscape
The laboratory automation market features several
established global players, including Thermo Fisher Scientific, PerkinElmer
Inc., Agilent Technologies, Danaher Corporation, F. Hoffmann-La Roche Ltd.,
QIAGEN, Tecan Group Ltd., and Siemens Healthineers.
In addition, innovative firms such as Gilson Inc., BMG
Labtech, Aurora Biomed, Peak Analysis & Automation, Formulatrix, and Hudson
Lab Automation are reshaping competitive dynamics through specialized and
flexible automation solutions.
Overall, as laboratories worldwide seek greater
efficiency, accuracy, and scalability, automation—powered by AI and ML—is set
to remain a cornerstone of modern laboratory transformation.
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Report: https://meditechinsights.com/laboratory-automation-market/
Global Laboratory
Automation Market Segmentation
This report by Medi-Tech Insights provides the size
of the global laboratory automation market at the regional- and
country-level from 2023 to 2030. The report further segments the market based
on product, application, and end-user.
Market Size & Forecast (2023-2030), By Product, USD
Million
·
Robotics
·
Automated
Workstations
·
LIMS
·
Microplate
Readers
·
Others
Market Size & Forecast (2023-2030), By Application,
USD Million
·
Drug
Discovery
·
Diagnostic
·
High
Throughput
·
Genomic
·
Others
Market Size & Forecast (2023-2030), By End-user, USD
Million
·
BioPharma
Companies
·
Clinical
Laboratories
·
Academic
& Research Institutes
·
Others
Market Size & Forecast (2023-2030), By Region, USD
Million
·
North
America
o US
o Canada
·
Europe
o UK
o Germany
o France
o Italy
o Spain
o Rest of Europe
·
Asia
Pacific
o China
o India
o Japan
o Rest of Asia Pacific
·
Latin
America
·
Middle East
& Africa
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About Medi-Tech Insights;
Medi-Tech Insights is a healthcare-focused business research &
insights firm. Our clients include Fortune 500 companies, blue-chip investors
& hyper-growth start-ups. We have completed 100+ projects in Digital
Health, Healthcare IT, Medical Technology, Medical Devices & Pharma
Services in the areas of market assessments, due diligence, competitive
intelligence, market sizing and forecasting, pricing analysis &
go-to-market strategy. Our methodology includes rigorous secondary research
combined with deep-dive interviews with industry-leading CXO, VPs, and key
demand/supply side decision-makers.
Contact:
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Associate, Medi-Tech Insights
+32 498 86 80 79
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