The Digital Biomanufacturing Market Size is valued at 19.04 Billion in 2022 and is predicted to reach 57.69 Million by the year 2031 at a 13.2 % CAGR during the forecast period for 2023-2031.
Key Industry Insights & Findings from the Report:
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.
The digital biomanufacturing market is segmented on the basis of application, end-user, deployment option 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. As per the Deployment Option, the market is categorized into Cloud-based and On-premises. Technology segments the market into AI and IoMT Solutions, Process Analytical Technologies, Data Analytics Software, Predictive Analytics and Digital Twin Technologies, and Others.
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.
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.
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.
Recent Developments:
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Report Attribute |
Specifications |
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Market Size Value In 2022 |
USD 19.04 Billion |
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Revenue Forecast In 2031 |
USD 57.69 Billion |
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Growth Rate CAGR |
CAGR of 13.2 % from 2023 to 2031 |
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Quantitative Units |
Representation of revenue in US$ Billion, Volume (Unit), and CAGR from 2023 to 2031 |
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Historic Year |
2019 to 2022 |
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Forecast Year |
2023-2031 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Technology, By Application, By End-User, Deployment option |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; China; Japan; India; South Korea; South East Asia; South Korea; South East Asia |
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Competitive Landscape |
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, Symphony Innovation, LLC, Other Prominent Players |
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Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing and Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
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. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2031
4.8. Global Digital Biomanufacturing Market Penetration & Growth Prospect Mapping (US$ Mn), 2023-2031
4.9. Competitive Landscape & Market Share Analysis, By Key Player (2023)
4.10. Use/impact of AI on Digital Biomanufacturing Market Industry Trends
Chapter 5. Market Segmentation 1: By Technology, Estimates & Trend Analysis
5.1. By Technology, & Market Share, 2023 & 2031
5.2. Market Size (Value US$ Mn & Volume Unit) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Technology:
5.2.1. AI and IoMT Solutions
5.2.2. Process Analytical Technologies
5.2.3. Data Analytics Software
5.2.4. Predictive Analytics and Digital Twin Technologies
5.2.5. Others
Chapter 6. Market Segmentation 2: By Application Estimates & Trend Analysis
6.1. By Application & Market Share, 2023 & 2031
6.2. Market Size (Value US$ Mn & Volume Unit) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Application:
6.2.1. Biomanufacturing Process Automation and Control
6.2.2. Bioprocess Optimization and Process Analytics
6.2.3. Flexible Manufacturing
Chapter 7. Market Segmentation 3: By End-user Estimates & Trend Analysis
7.1. By End-user & Market Share, 2023 & 2031
7.2. Market Size (Value US$ Mn & Volume Unit) & Forecasts and Trend Analyses, 2019 to 2031 for the following By End-user:
7.2.1. Biopharmaceutical Companies
7.2.2. Academic and Research Institutes
Chapter 8. Market Segmentation 4: By Deployment Options Estimates & Trend Analysis
8.1. By Deployment Options & Market Share, 2023 & 2031
8.2. Market Size (Value US$ Mn & Volume Unit) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Deployment Options:
8.2.1. Cloud-based
8.2.2. On-premises
Chapter 9. Market Segmentation 5: By Type(s) of Biologic(s)Manufactured Estimates & Trend Analysis
9.1. By Type(s) of Biologic(s)Manufactured & Market Share, 2023 & 2031
9.2. Market Size (Value US$ Mn & Volume Unit) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Type(s) of Biologic(s)Manufactured:
9.2.1. Antibodies
9.2.2. Cell and Gene Therapies
9.2.3. Proteins
9.2.4. Vaccines
9.2.5. Others
Chapter 10. Digital Biomanufacturing Market Segmentation 6: Regional Estimates & Trend Analysis
10.1. Global Digital Biomanufacturing Market, Regional Snapshot 2023 & 2031
10.2. North America
10.2.1. North America Digital Biomanufacturing Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Country, 2019-2031
10.2.1.1. US
10.2.1.2. Canada
10.2.2. North America Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) estimates and forecasts By Technology, 2019-2031
10.2.3. North America Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) estimates and forecasts By Application, 2019-2031
10.2.4. North America Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) estimates and forecasts By End-user, 2019-2031
10.2.5. North America Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) estimates and forecasts By Deployment Options, 2019-2031
10.2.6. North America Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) estimates and forecasts By Type(s) of Biologic(s)Manufactured, 2019-2031
10.3. Europe
10.3.1. Europe Digital Biomanufacturing Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Country, 2019-2031
10.3.1.1. Germany
10.3.1.2. U.K.
10.3.1.3. France
10.3.1.4. Italy
10.3.1.5. Spain
10.3.1.6. Rest of Europe
10.3.2. Europe Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) By Technology, 2019-2031
10.3.3. Europe Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) By Application, 2019-2031
10.3.4. Europe Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) estimates and forecasts By End-user, 2019-2031
10.3.5. Europe Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) estimates and forecasts By Deployment Options, 2019-2031
10.3.6. Europe Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) estimates and forecasts By Type(s) of Biologic(s)Manufactured, 2019-2031
Asia Pacific
10.3.7. Asia Pacific Digital Biomanufacturing Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Country, 2019-2031
10.3.7.1. India
10.3.7.2. China
10.3.7.3. Japan
10.3.7.4. Australia
10.3.7.5. South Korea
10.3.7.6. Hong Kong
10.3.7.7. Southeast Asia
10.3.7.8. Rest of Asia Pacific
10.3.8. Asia Pacific Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) By Technology, 2019-2031
10.3.9. Asia Pacific Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) By Application, 2019-2031
10.3.10. Asia Pacific Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) estimates and forecasts By End-user, 2019-2031
10.3.11. Asia Pacific Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) estimates and forecasts By Deployment Options, 2019-2031
10.3.12. Asia Pacific Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) estimates and forecasts By Type(s) of Biologic(s)Manufactured, 2019-2031
10.4. Latin America
10.4.1. Latin America Digital Biomanufacturing Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by Country, 2019-2031
10.4.1.1. Brazil
10.4.1.2. Mexico
10.4.1.3. Rest of Latin America
10.4.2. Latin America Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) By Technology, (US$ Million) 2019-2031
10.4.3. Latin America Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) By Application, (US$ Million) 2019-2031
10.4.4. Latin America Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) estimates and forecasts By End-user, 2019-2031
10.4.5. Latin America Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) estimates and forecasts By Deployment Options, 2019-2031
10.4.6. Latin America Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) estimates and forecasts By Type(s) of Biologic(s)Manufactured, 2019-2031
10.5. Middle East & Africa
10.5.1. Middle East & Africa Digital Biomanufacturing Market Revenue (US$ Million) & Volume (Unit) Estimates and Forecasts by country, 2019-2031
10.5.1.1. GCC Countries
10.5.1.2. Israel
10.5.1.3. South Africa
10.5.1.4. Rest of Middle East and Africa
10.5.2. Middle East & Africa Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) By Technology, (US$ Million) 2019-2031
10.5.3. Middle East & Africa Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) By Application, (US$ Million) 2019-2031
10.5.4. Middle East & Africa Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) estimates and forecasts By End-user, 2019-2031
10.5.5. Middle East & Africa Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) estimates and forecasts By Deployment Options, 2019-2031
10.5.6. Middle East & Africa Digital Biomanufacturing Market revenue (US$ Million) & Volume (Unit) estimates and forecasts By Type(s) of Biologic(s)Manufactured, 2019-2031
Chapter 11. Competitive Landscape
11.1. Major Mergers and Acquisitions/Strategic Alliances
11.2. Company Profiles
11.2.1. 3M
11.2.1.1. Business Overview
11.2.1.2. Key Product/Service Overview
11.2.1.3. Financial Performance
11.2.1.4. Geographical Presence
11.2.1.5. Recent Developments with Business Strategy
11.2.2. ABB
11.2.3. Cytiva
11.2.4. Siemens
11.2.5. immersciobio
11.2.6. Sanofi
11.2.7. BIOMÉRIEUX
11.2.8. Agilent Technologies, Inc
11.2.9. GE Healthcare
11.2.10. Culture Biosciences
11.2.11. IDBS
11.2.12. Aspen Technology Inc.
11.2.13. Emerson Electric Co.
11.2.14. Honeywell International Inc.
11.2.15. SAP SE
11.2.16. Bota Biosciences
11.2.17. FabricNano
11.2.18. OVO Biomanufacturing
11.2.19. Dassault Systèmes
11.2.20. FUJIFILM Diosynth Biotechnologies
11.2.21. Körber Digital
11.2.22. Merck KGaA
11.2.23. Sartorius AG
11.2.24. Lonza
11.2.25. Other Prominent Players
By Application -
By End-user-
By Deployment Option-
By Technology-
By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & 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:
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:
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.
