by on August 7, 2023

The “Digital Biomanufacturing Market, 2023-2035” report features an extensive study of various type of technologies, such as PAT, DAS, MES and digital twins offered by digital biomanufacturing providers.


Key Inclusions

  • A general introduction to digital biomanufacturing, featuring a detailed discussion on various types of technologies that support digital bioprocessing. In addition, it presents the key challenges and future perspectives associated with the employment of digital technologies in the field of biomanufacturing.
  • A detailed assessment of the overall market landscape of companies offering digital biomanufacturing technologies (PAT, DAS, MES and digital twins), based on several relevant parameters, such as year of establishment, company size (in terms of number of employees), location of headquarters, type of company (CDMO provider and software provider), number of platforms offered, deployment options (cloud based, on-premises, corporate datacenter and hybrid), platform capabilities (process automation, bioprocess optimization and controls, process connectivity, scalability, data integration, process monitoring and visualization, performance analysis, report generation and documentation, smart manufacturing, document control, production tracking, performance analysis and data integration), software capabilities (process intelligence, data integration, real-time process monitoring, data visualization, performance analysis and control prediction, reporting and data management), type(s) of biologic(s) manufactured, other compatible platforms (artificial intelligence / machine learning / cloud based, big data, internet of things, augmented reality and virtual reality) and type of end user(s) (industry and non-industry), integrating software (enterprise resource planning (ERP), manufacturing operation management (MOM), product lifecycle management (PLM), human resource management (HRM)), type of service(s) offered (training, implementation / upgradation and general support), area(s) of application (asset / process management, clinical trials, personalized treatment, medical training, surgical planning, health monitoring and diagnosis).
  • A detailed competitiveness analysis of digital manufacturing technologies (PAT, DAS, MES and digital twins), based on supplier strength (in terms of years of experience and company size), technology portfolio (considering deployment options, number of platform capabilities, type of end user(s), software capabilities, area(s) of application, type(s) of twin(s)) and type(s) of biologic(s) manufactured.
  • Elaborate profiles of key players (companies offering more than one platform and established before 2012) engaged in the digital biomanufacturing domain, which are actively providing software based on PAT, DAS, MES and digital twins. Each profile includes a brief overview of the company, along with information on capabilities of digital technologies offered by these firms, recent developments and an informed future outlook.
  • A benchmark analysis highlighting the capabilities of companies (in terms of their expertise across various platforms related to the manufacturing of biologics) engaged in this domain, across key peer groups.
  • An analysis featuring information on recent partnerships inked between stakeholders engaged in this domain, based on several relevant parameters, such as year of partnership, type of partnership, type of technology, most active players (in terms of number of deals inked) and regional distribution of partnership activity, during the period 2018-2022.
  • A detailed analysis highlighting the market concentration of key industry stakeholders (companies offering more than one platform) across various regions, based on prevalent parameters, such as years of entrance, company size, type of technology, number of platforms offered and number of partnerships inked.
  • A detailed industry lifecycle analysis that indicates various stages, including emergence, growth, maturation and eventual decline for the digital biomanufacturing industry. The primary purpose of this analysis is to develop a better understanding of the current position / phase of the industry on the lifecycle chart (based on historical trends, partnership activity and various investments made by players engaged in this domain) and predict the upcoming events that are likely to drive the growth of this domain. Further, it presents short-term and long-term impacts of various key parameters that are expected to highly impact the wider adoption of digitalization in the field of biomanufacturing.


The report also features the likely distribution of the current and forecasted opportunity across important market segments, mentioned below:

  • Type of Technology
  • Process Analytical Technology (PAT)
  • Data Analysis Software (DAS)
  • Manufacturing Execution Systems (MES)
  • Digital Twins


  • Deployment Options
  • Cloud-based Deployment Options
  • On-premises Deployment Options


  • Type(s) of Biologic(s) Manufactured
  • Antibodies
  • Cell and Gene Therapies
  • Proteins
  • Vaccines
  • Others


  • Geographical Regions
  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and North America


Key Questions Answered

  • What is the global market size of digital biomanufacturing?
  • Which are the top players in the global digital biomanufacturing market?
  • What are the factors driving the digital manufacturing market?
  • Which region has the highest market share in the global digital biomanufacturing market?
  • What are the leading market segments in digital biomanufacturing market?
  • Which segment, in terms of deployment options, accounts for the largest share in the global digital biomanufacturing market?
  • What are the partnership and collaboration trends in the digital biomanufacturing domain?
  • What is the growth rate (CAGR) in the global digital biomanufacturing market?


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