Kumar, R.Chattaraj, S.Boyno, G.Alloun, W.Andjelkovic, S.Živković, S.Guerra Sierra, B.E.2025-12-302025-12-3020259798337328751979833732873710.4018/979-8-3373-2873-7.ch0052-s2.0-105022855404https://doi.org/10.4018/979-8-3373-2873-7.ch005https://hdl.handle.net/20.500.14720/29372The bioprocess monitoring market, valued at $12.3 billion in 2023, is expected to grow at a CAGR of 9.1% to reach $20.5 billion by 2030. This growth is driven by biosensors, machine learning, and Industry 4.0. Innovations like Raman spectroscopy and NMR have improved metabolite profiling accuracy, leading to enhanced process control. Artificial intelligence-driven models have reduced batch variability by 20%, while digital twin technologies have reduced process development time by 25%. Automated fed-batch strategies have increased recombinant protein yields by 15-25%, while microfluidic bioreactors enable high-throughput screening with a 5-fold reduction in reagent costs. Soft-sensor technologies have adjusted metabolic flux projections by 35%, reducing process variation. IoT-enabled bioprocessing has reduced manual interventions by 40%, improving operational effectiveness. ©2026, IGI Global Scientific Publishing. All rights reserved.eninfo:eu-repo/semantics/closedAccessBook PartN/AN/A123142