Digital Bio-Manufacturing Market by Bioprocess Optimization, Biomanufacturing, and Flexible Manufacturing to 2024 - Rear Excessive Growth Estimated by Key Top Players Thermo Fisher Scientific Inc., Waters Corp., Shimadzu Corp., Sartorius Stedium Biotech G

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The Digital Bio-Manufacturing Market report provides relevant patent analysis and comprehensive profiles of market players in the industry. The industry structure chapter focuses on changing market trends, important manufacturers and suppliers, and their market shares and product offerings. The chapter also covers mergers and acquisitions and any other collaborations or partnerships that happened during the evaluation period of this report that are expected to shape the industry.

The biggest challenge for a biopharmaceutical company is to produce a high-quality product in a cost-effective manner. The need to harness the first-to-market advantage as well as meet the growing pressure to control costs from consumers, insurance companies and governments has led many biopharmaceutical manufacturers to resort to innovative methods of production. Implementation of process intensification (continuous manufacturing) and use of disposable technologies has significantly boosted the production productivities. Integration of statistical modeling with standard bioprocess optimization methods has also been a positive strategy in achieving the goals of faster production time and better process design.

Market and Technology Background
• Biologics Manufacturing Process
• Upstream Processing
• Cell Harvesting and Clarification
• Downstream Processing
• Bioprocess Optimization
• Design of Experiments (DoE)
• Response Surface Methodology (RSM)
• Cost Estimation in Biomanufacturing Process Design
• Risk Assessment
• Industry 4.0-Digital Biomanufacturing
• Some Aspects of Digital Biomanufacturing
• Role of Process Analytical Technology in Digital Biomanufacturing
• Multivariate Tools for Design, Data Acquisition and Analysis
• Process Analyzers
• Process Control Tools
• Continuous Improvement and Knowledge Management Tools

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The report discusses the critical issues impacting the adoption of DM in pharmaceuticals, as well as emerging trends in DM technologies. It also features the new developments and new product launches in the global market.

Report Includes
- 91 data tables and 30 additional tables
- An overview of the global markets for bioprocess optimization and digital bio-manufacturing (DM)
- Evaluation of role of process analytical technologies (PAT) in DM
- A look into the new developments, new product launches and regulatory aspects in the global market
- Discussion about critical issues impacting the adoption of DM in pharmaceuticals as well as emerging trends in DM technologies
- Detailed analysis of industry 4.0 in DM
- Comprehensive profiles of market players in the industry, including Agilent Technologies, Thermo Fisher Scientific Inc., Waters Corp., Shimadzu Corp., Sartorius Stedium Biotech GmbH, GE Healthcare, and ABB Ltd.

The report provides relevant patent analysis and comprehensive profiles of market players in the industry. The industry structure chapter focuses on changing market trends, important manufacturers and suppliers, and their market shares and product offerings. The chapter also covers mergers and acquisitions and any other collaborations or partnerships that happened during the evaluation period of this report that are expected to shape the industry.

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Over the last few years, the biopharmaceuticals market has witnessed tremendous growth. Innovation in the types of biological drug candidates has been remarkable. The expiration of patents of many blockbuster drugs has led to the rise of the biosimilars market, too. As a result, the biologic drug manufacturers who had been practicing age-old business models and traditional methods of biomanufacturing are now faced with numerous challenges.

Biopharmaceutical manufacturers can obtain several benefits by implementing IIoT in manufacturing, as it can drive process efficiencies; provide agility to the manufacturing and entire supply chain; provide tracking, visibility and predictive maintenance; as well as save time in obtaining regulatory compliance.

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