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Pre-analytical automation market seen reaching $11.38 billion by 2030

10 hours ago
By AI, Created 17:22 UTC, Jul 21, 2026, AGP -

The Business Research Company projects the pre-analytical automation market will grow from $7.04 billion in 2025 to $11.38 billion by 2030, driven by demand for faster, more accurate diagnostic workflows. The report points to infectious disease testing, AI-enabled automation and laboratory modernization as major growth drivers, with North America leading and Asia-Pacific expected to grow fastest.

Why it matters: - Pre-analytical automation helps laboratories cut manual handling, reduce errors and speed up sample processing before analysis. - The market forecast signals rising demand for automated diagnostics as labs face higher volumes, tighter turnaround targets and stronger quality-control requirements. - Infectious disease testing is a key demand driver because faster, standardized sample handling can lower contamination risk and improve workflow reliability.

What happened: - The Business Research Company said the pre-analytical automation market will rise from $7.04 billion in 2025 to $7.74 billion in 2026. - The company forecast the market will reach $11.38 billion by 2030, representing a 10.1% compound annual growth rate. - The report was published July 21, 2026. - The report includes a free sample and the full market report.

The details: - Pre-analytical automation covers automated tools that standardize laboratory tasks before sample analysis. - The systems are designed to reduce manual intervention, improve consistency and strengthen data quality. - The market’s recent growth has been supported by high-throughput diagnostic testing, heavier laboratory workloads, larger sample volumes and wider adoption of basic specimen-processing automation. - Future growth is expected to come from AI-enabled laboratory automation, precision diagnostics, faster turnaround times, integrated healthcare laboratory networks, smart hospital investment and tighter quality-control standards. - The report highlights emerging technologies including AI-powered workflow optimization, robotic handling systems, integrated laboratory information systems, smart barcode and specimen identification tools, and modular automated systems for transport and sorting. - The report’s 2026 edition adds market attractiveness scoring, TAM analysis, company scoring matrices, Excel-based forecasting dashboards, market hotspot infographics and updated graphics and tables.

Between the lines: - The growth forecast suggests pre-analytical automation is shifting from a support function to a core part of diagnostic infrastructure. - The emphasis on AI, robotics and tracking systems points to an industry focus on reducing bottlenecks and improving traceability across lab networks. - Infectious disease pressure reinforces the value of automation in settings where speed, accuracy and contamination control matter most.

What happened: - North America held the largest market share in 2025, supported by advanced healthcare infrastructure and early adoption of new technologies. - Asia-Pacific is expected to post the fastest growth during the forecast period because of expanding healthcare access and more investment in laboratory automation. - The report also covers South East Asia, Western Europe, Eastern Europe, South America, the Middle East and Africa.

What's next: - Labs, hospital systems and diagnostic providers are likely to keep investing in automation that improves throughput and consistency. - Growth in infectious disease testing and broader precision diagnostics should continue to support demand for automated pre-analytical workflows. - The regional competitive picture may widen as Asia-Pacific scales capacity while North America remains the largest established market.

The bottom line: - Pre-analytical automation is on track for strong global expansion as labs prioritize speed, accuracy and standardization in diagnostic processing.

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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