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Automated sample prep market seen hitting $3.45 billion by 2030

11 hours ago
Automated sample prep market seen hitting $3.45 billion by 2030
By AI, Created 15:30 UTC, Nov 04, 2026, AGP -

The global automated sample preparation market is projected to grow from $2.14 billion in 2026 to $3.45 billion by 2030, driven by lab automation, infectious disease testing and AI-enabled workflows. North America held the largest share in 2025 as the market expands across clinical, pharmaceutical and research uses.

Why it matters: - Automated sample preparation is becoming a core part of lab operations as demand rises for faster, more accurate and more reproducible testing. - The market’s growth points to continued investment in laboratory automation, especially in diagnostics, pharmaceutical research and smart lab infrastructure. - Rising infectious disease testing needs are adding pressure for standardized sample handling and higher-throughput workflows.

What happened: - The Business Research Company said the automated sample preparation market reached $1.9 billion in 2025 and is expected to rise to $2.14 billion in 2026. - The market is forecast to reach $3.45 billion by 2030, reflecting a 12.7% compound annual growth rate during the forecast period. - North America held the largest regional share in 2025. - The report covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, South America, the Middle East and Africa. - The report is titled Automated Sample Preparation Global Market Report 2026 – Market Size, Trends, And Forecast 2026-2035. - The company also offered a free sample of the report and a full report.

The details: - Automated sample preparation uses equipment and systems to manage and process samples for analysis or testing. - The process streamlines mixing, dilution and filtration. - The technology is designed to improve accuracy and operational efficiency. - Reduced manual labor lowers human error and helps deliver more consistent lab results. - Historical growth has been supported by laboratory automation, more clinical and research samples, a stronger focus on reproducibility, expanded pharmaceutical R&D and more advanced laboratory instruments. - Forecast growth is tied to broader adoption of fully automated labs, demand for precise diagnostics, expansion in personalized medicine research, investment in smart lab infrastructure and AI-driven analytics in sample preparation. - The report highlights growing use of robotic liquid handling systems, higher demand for high-throughput sample processing, wider adoption of automated workstations, efforts to reduce sample handling errors and more standardized lab workflows. - The report says the market’s growth is being helped by the rise in infectious diseases worldwide. - CDC data cited in the release showed U.S. tuberculosis cases increased from 8,320 in 2022 to 9,615 in 2023. - The CDC data also showed the U.S. tuberculosis incidence rate rose from 2.5 per 100,000 people in 2022 to 2.9 in 2023.

Between the lines: - The report frames automation as a response to both scale and quality pressures in modern labs. - The mix of diagnostics, pharma and personalized medicine demand suggests the market is moving beyond routine lab efficiency into more specialized clinical and research use cases. - The focus on AI, robotics and high-throughput systems signals a shift toward integrated lab platforms rather than isolated automation tools.

What's next: - The report expects more fully automated laboratories to come online over the forecast period. - More adoption of AI-supported sample prep and robotic systems is likely as labs try to speed processing and cut errors. - Regional growth outside North America may accelerate as the market expands into more geographies and lab segments. - The Business Research Company said its 2026 reports include market attractiveness scoring, TAM analysis, company scoring matrix graphics, Excel dashboards, market hotspots infographics and updated graphics and tables.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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