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Global Digital Biomanufacturing Market

Digital Biomanufacturing Market Size, Share & Trends Analysis Report By Application (Biomanufacturing Process Automation and Control, Bioprocess Optimization and Process Analytics, Flexible Manufacturing), By Technology, By End-User, Region And Segment Forecasts, 2023-2031

Report ID : 1296 | Published : 2024-05-22 | Pages: 180 | Format: PDF/EXCEL

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:

  • There is a growing demand for biologics, including vaccines, monoclonal antibodies, and gene therapies. Digital biomanufacturing optimizes production processes to meet this demand more cost-effectively and sustainably.
  • These technologies enhance data collection, monitoring, process control, and automation, leading to more efficient and scalable production processes
  • North America dominated the market and accounted for a global revenue share in 2023.

Digital Biomanufacturing Market

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.

Competitive Landscape

Some of The Key Players in The Digital Biomanufacturing Market:

  • 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

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.

Recent Developments:

  • In April 2024, SAP SE revealed artificial intelligence (AI) enhancements in its supply chain solutions that will bring about major improvements in productivity, efficiency, and accuracy in the manufacturing industry. Utilizing AI-powered analysis of up-to-the-minute data, firms may leverage their own data to enhance decision-making throughout supply chains, optimize product creation, and enhance industrial efficiency.

The Digital Biomanufacturing Market Report Scope

Report Attribute

Specifications

Market Size Value In 2022

USD 19.04 Billion

Revenue Forecast In 2031

USD 57.69 Billion

Growth Rate CAGR

CAGR of 13.2 % from 2023 to 2031

Quantitative Units

Representation of revenue in US$ Billion, Volume (Unit), and CAGR from 2023 to 2031

Historic Year

2019 to 2022

Forecast Year

2023-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Technology, By Application, By End-User

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

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

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

 

Customization Scope

Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape.

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. 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

Digital Biomanufacturing Market

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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Frequently Asked Questions

Who are the Key Players in the Digital Biomanufacturing Market?

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.

The Digital Biomanufacturing Market is expected to grow at a 13.2 % CAGR during the forecast period for 2023-2031.

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