Global Digital Biomanufacturing Market

Report ID : 1296 | Published : 2022-07-06 | Pages: | Format: PDF/EXCEL

The market size of the Global Digital Biomanufacturing Market in the year 2021 is valued at 17.53 billion and is predicted to reach 58.31 billion by the year 2030 at an 14.5% CAGR during the forecast period.

The biopharmaceutical industry's tremendous expansion has brought about new opportunities for patient care and difficulties in production. Numerous cutting-edge medical techniques make use of speciality medications that are designed to treat limited patient populations, and this indicates that substantially less drug production occurs. Manufacturers must therefore increase their operational effectiveness to lower total drug development and production costs in order to satisfy the public's need for affordable access to new medications. The Industry 4.0 paradigm will assist in achieving this objective. Using digital technologies in manufacturing processes, such as computer-aided design and computer-assisted machining, is known as "digital biomanufacturing." By enhancing manufacturing cycles, the use of these technologies can assist raise quality and safety requirements while also lowering costs. With robotic automation systems like microfluidic devices, digital biomanufacturing enables increased precision in cell cultures or tissue engineering. It also makes it possible to remotely monitor individual units using embedded sensors that transmit data back to operators via wireless networks, enabling more effective management of inventory levels during manufacturing.

Market Segmentation:

The digital biomanufacturing market is segmented on the basis of application, end-user, and technology. Based on application, the market is segmented as Biomanufacturing Process Automation and Control, Bioprocess Optimization and Process Analytics, and Flexible Manufacturing. By end-user, the market is segmented into Biopharmaceutical Companies and Academic and Research Institutes. Technology segments the market into AI and IoMT Solutions, Process Analytical Technologies, Data Analytics Software, Predictive Analytics and Digital Twin Technologies, and Others.

Based on product, the bioprocess optimization and process analytics segment are accounted as a major contributor in the digital biomanufacturing market.

Digital biomanufacturing is utilized in process analytics and bioprocess optimization to track, enhance, and manage bioprocesses. By processing algorithms on a computer to be tuned for the process before being moved to an industrial system where it can run automatically without human involvement, it helps. As a result of these systems' greater accuracy and ability to decrease errors made during manual operation processes, activities become more efficient. These features are driving the bioprocess optimization and process analytics segment in the market.

AI and IoMT solutions segment witness growth at a rapid rate

The Internet of Medical Things (IoMT) was formed as a result of the increase in linked medical devices, improvements in the hardware and software that enable the collection and transfer of medical-grade data, and connectivity technologies and services. The IoMT integrates the physical and digital worlds to enhance diagnostic and treatment speed and accuracy as well as to track and adjust patient behaviour and health status in real-time. Streamlining clinical processes, information, and workflows also raises the operational productivity and effectiveness of healthcare organizations. An increasing geriatric population, with more people living longer but with many comorbidities, is partly responsible for the increase of AI and IoMT solutions.

The North America Digital Biomanufacturing market holds a significant revenue share in the region.

North America has the largest revenue share owing to its sophisticated healthcare system and substantial demand for biologics. North American businesses are increasingly opting to digitize their biologics. Furthermore, industrial organizations are investing a lot in digital technology and related assets to improve production efficiency and lower operating costs. Governments in the area are sponsoring research and development programmes to set up cutting-edge sensor networks, process controls, and data analytics in industrial firms to boost productivity and energy efficiency. Canadian manufacturers are investing in the conversion of physical factories into digital factories. They are largely concentrating on supply chain collaboration, automation and robotics, and intelligent floor sensors. As a result, the Canadian market is anticipated to display an extraordinary CAGR over the forecast period.

Competitive Landscape

The key players in the Digital Biomanufacturing market have shifted their focus towards bio-based components for product manufacturing and are initiating significant strategies such as mergers, acquisitions, and joint ventures of major and domestic players to enhance product portfolio and strengthen their market footprint across the globe. Some of the major key players in the Digital Biomanufacturing market are Agilent Technologies Inc., Danaher Corporation, Donaldson Company, Inc., Emerson Electric Co., General Electric Company, Honeywell International Inc., SAP SE, Siemens Healthineers AG, Bota Biosciences, Culture Biosciences, e-matica srl, Exponential Genomics, Inc. (Xenomics), FabricNano, OVO Biomanufacturing and Symphony Innovation, LLC.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Digital Biomanufacturing Market Snapshot

Chapter 4. Global Digital Biomanufacturing Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: By Application Estimates & Trend Analysis

5.1. By Application & Market Share, 2020 & 2030

5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By Application:

5.2.1. Biomanufacturing Process Automation and Control

5.2.2. Bioprocess Optimization and Process Analytics

5.2.3. Flexible Manufacturing

Chapter 6. Market Segmentation 2: By End-user Estimates & Trend Analysis

6.1. By End-user & Market Share, 2020 & 2030

6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By End-user:

6.2.1. Biopharmaceutical Companies

6.2.2. Academic and Research Institutes

Chapter 7. Market Segmentation 3: By Technology Estimates & Trend Analysis

7.1. By Technology & Market Share, 2020 & 2030

7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By Technology:

7.2.1. AI and IoMT Solutions

7.2.2. Process Analytical Technologies

7.2.3. Data Analytics Software

7.2.4. Predictive Analytics and Digital Twin Technologies

7.2.5. Others"

Chapter 8. Digital Biomanufacturing Market Segmentation 4: Regional Estimates & Trend Analysis

8.1. North America

8.1.1. North America Digital Biomanufacturing Market revenue (US$ Million) estimates and forecasts By Application, 2020-2030

8.1.2. North America Digital Biomanufacturing Market revenue (US$ Million) estimates and forecasts By End-user, 2020-2030

8.1.3. North America Digital Biomanufacturing Market revenue (US$ Million) estimates and forecasts by Technology, 2020-2030

8.1.4. North America Digital Biomanufacturing Market revenue (US$ Million) estimates and forecasts by country, 2020-2030

8.2. Europe

8.2.1. Europe Digital Biomanufacturing Market revenue (US$ Million) By Application, 2020-2030

8.2.2. Europe Digital Biomanufacturing Market revenue (US$ Million) By End-user, 2020-2030

8.2.3. Europe Digital Biomanufacturing Market revenue (US$ Million) estimates and forecasts by Technology, 2020-2030

8.2.4. Europe Digital Biomanufacturing Market revenue (US$ Million) by country, 2020-2030

8.3. Asia Pacific

8.3.1. Asia Pacific Digital Biomanufacturing Market revenue (US$ Million) By Application, 2020-2030

8.3.2. Asia Pacific Digital Biomanufacturing Market revenue (US$ Million) By End-user, 2020-2030

8.3.3. Asia Pacific Digital Biomanufacturing Market revenue (US$ Million) estimates and forecasts by Technology, 2020-2030

8.3.4. Asia Pacific Digital Biomanufacturing Market revenue (US$ Million) by country, 2020-2030

8.4. Latin America

8.4.1. Latin America Digital Biomanufacturing Market revenue (US$ Million) By Application, (US$ Million)

8.4.2. Latin America Digital Biomanufacturing Market revenue (US$ Million) By End-user, (US$ Million)

8.4.3. Latin America Digital Biomanufacturing Market revenue (US$ Million) estimates and forecasts by Technology, 2020-2030

8.4.4. Latin America Digital Biomanufacturing Market revenue (US$ Million) by country, 2020-2030

8.5. Middle East & Africa

8.5.1. Middle East & Africa Digital Biomanufacturing Market revenue (US$ Million) By Application, (US$ Million)

8.5.2. Middle East & Africa Digital Biomanufacturing Market revenue (US$ Million) By End-user, (US$ Million)

8.5.3. Middle East & Africa Digital Biomanufacturing Market revenue (US$ Million) estimates and forecasts by Technology, 2020-2030

8.5.4. Middle East & Africa Digital Biomanufacturing Market revenue (US$ Million) by country, 2020-2030

Chapter 9. Competitive Landscape

9.1. Major Mergers and Acquisitions/Strategic Alliances

9.2. Company Profiles

9.2.1. Agilent Technologies Inc.

9.2.2. Danaher Corporation

9.2.3. Donaldson Company, Inc.

9.2.4. Emerson Electric Co.

9.2.5. General Electric Company

9.2.6. Honeywell International Inc.

9.2.7. SAP SE

9.2.8. Siemens Healthineers AG

9.2.9. Bota Biosciences

9.2.10. Culture Biosciences

9.2.11. e-matica srl

9.2.12. Exponential Genomics, Inc. (Xenomics)

9.2.13. FabricNano

9.2.14. OVO Biomanufacturing

9.2.15. Symphony Innovation, LLC

9.2.16. Other Prominent Players

Segmentation of Digital Biomanufacturing Market-

By Application -

  • Biomanufacturing Process Automation and Control
  • Bioprocess Optimization and Process Analytics
  • Flexible Manufacturing

By End-user-

  • Biopharmaceutical Companies
  • Academic and Research Institutes

By Technology-

  • AI and IoMT Solutions
  • Process Analytical Technologies
  • Data Analytics Software
  • Predictive Analytics and Digital Twin Technologies
  • Others

By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa

Rest of Middle East and Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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Global Digital Biomanufacturing Market in the year 2021 is valued at 17.53 billion

predicted to reach 58.31 billion by the year 2030 at an 14.5% CAGR during the forecast period.

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