Sustained development of new microfluidics technologies such as 3-D printed microfluidics, paper-based microfluidics, and droplet-based microfluidics is likely to generate significant market growth potential for the microfluidics market throughout the forecast period. The integration of artificial intelligence (Al) and machine learning (ML) in microfluidic devices are gaining traction since these technologies may be utilized for real-time analysis and decision-making in a wide range of applications. However, the high cost of Microfluidics devices is a restraint for the market.
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