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Lab-on-chip market seen reaching $16.25 billion by 2030

Aug. 13, 2026
By AI, Created 13:37 UTC, Aug 13, 2026, AGP -

The Business Research Company says the lab-on-chip market is set to grow from $8.85 billion in 2025 to $16.25 billion by 2030 as demand rises for faster diagnostics, personalized medicine and decentralized testing. North America led the market in 2025, while Asia-Pacific is projected to be the fastest-growing region.

Why it matters: - Lab-on-chip devices are gaining traction because they can speed up testing, cut reagent use and support more portable diagnostics. - The market’s growth reflects broader demand for personalized medicine, point-of-care testing and faster clinical results. - The shift could affect healthcare delivery in both advanced and resource-constrained settings, where compact testing tools can reduce turnaround times.

What happened: - The Business Research Company released a market study on the global lab-on-chip industry on Aug. 13, 2026. - The report pegs the market at $8.85 billion in 2025 and forecasts $10.02 billion in 2026. - The market is projected to reach $16.25 billion by 2030, implying a 12.8% CAGR from 2026 to 2030. - The study says North America held the largest market share in 2025. - The study says Asia-Pacific is expected to be the fastest-growing region during the forecast period. - The report covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - A free sample of the report is available here. - The full report is available here.

The details: - Lab-on-chip systems combine laboratory functions such as chemical analysis, biological assays and diagnostic tests on a miniaturized chip. - The devices handle very small fluid volumes with precision. - The technology is designed to improve speed, cost efficiency and throughput compared with conventional lab methods. - The report cites drivers behind recent growth, including microfluidics advances, higher diagnostic testing demand, more research funding, quicker clinical results and expansion in biotechnology research. - The forecast period also reflects growth in decentralized healthcare testing, more use in resource-limited settings, integration with digital health platforms, broader adoption in personalized diagnostics and a larger role in drug discovery. - Emerging trends include further miniaturization, more point-of-care testing, combining multiple lab functions on a single chip, expanded microfluidics use and rising demand for rapid diagnostics. - Personalized medicine is a major growth driver because genetic testing is making it easier to match therapies to individual patients. - Lab-on-chip devices can support personalized treatment by delivering rapid analyses of genetic and molecular data. - In February 2024, the Personalized Medicine Coalition said the FDA approved 16 new personalized therapies in 2023 for rare diseases, up from six in 2022.

Between the lines: - The forecast points to a market moving from specialized laboratory use toward broader clinical deployment. - Growth in decentralized testing suggests demand is shifting toward faster, nearer-to-patient diagnostics. - The regional outlook shows mature markets still dominate revenue, while newer healthcare systems may drive the fastest expansion.

What's next: - The market is expected to keep expanding as lab-on-chip devices become more integrated with digital health and personalized diagnostics. - The report highlights continued interest in miniaturization, multi-function chips and rapid-test applications as the next set of growth drivers. - The Business Research Company said its 2026 reports now include market attractiveness scoring, TAM analysis, company scoring matrices, forecasting dashboards, hotspot infographics and updated graphics and tables.

The bottom line: - Lab-on-chip technology is moving from a niche innovation to a broader diagnostics platform, and the market study expects strong growth through 2030.

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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