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The global Automation in Biopharmaceutical market was valued at 106.7 Million USD in 2020 and will grow with a CAGR of 6.12% from 2020 to 2027, based on newly published report.
The prime objective of this report is to provide the insights on the post COVID-19 impact which will help market players in this field evaluate their business approaches. Also, this report covers market segmentation by major market verdors, types, applications/end users and geography(North America, East Asia, Europe, South Asia, Southeast Asia, Middle East, Africa, Oceania, South America).
The global biopharmaceutical industry is the most rapidly growing industry in the science and technology sector owing to increasing R&D investments in biopharmaceutical drug development facilities. The global automation market in biopharmaceutical industry includes deployment of automation in biopharmaceutical academic research centers, manufacturing and research companies, clinical labs, and government approved labs.One trend in the market is continuous manufacturing. Advantages of continuous operations are well-recognized in various industries. It completes the process in a shorter time as it omits the hold steps, reduces shut down time, and reduces the labor requirement. Over the decades, upstream processing utilized this technology.” According to the report, one driver in the market is use of automation in data acquisition. Traditionally, research labs collect data manually and store it in spreadsheets. This method is not only time-consuming but also affects operational efficiency and is prone to errors. It also restricts monitoring of data in real time. The biopharmaceutical industry is working on data collection and adding the information from spreadsheets to a database. Database collection of upstream and downstream processes is being utilized to create a library that increases operational efficiency and process optimization. Further, the report states that one challenge in the market is high R&D cost. The biopharmaceutical industry is a rapidly growing industry in pharmaceuticals. Complex drugs are manufactured with the help of 3-D modeling and are produced with high efficacy and precision. These drugs can provide medication to medical issues that were once incurable. Currently, the biopharmaceutical industry is looking to yield new products to address diseases such as cancer, Alzheimer`s disease, and hepatitis C. Innovations in the biopharmaceutical industry are highly expensive. The average cost associated with a new drug is around $2 billion, including the cost of unsuccessful drug approvals, out of which almost $400 million is the cost included in pre-clinical and clinical testing.
By Market Verdors:
Danaher
GE
PerkinElmer
Tecan Trading
Thermo Fisher Scientific
Bruker
Peak Analysis & Automation
Waters
Capsugel
RheoSense
Eirechrom
BioProcess International
Novasep
By Types:
Clinical stage automation
Drug discovery stage automation
By Applications:
Research and Development
Clinical
Key Indicators Analysed
Market Players & Competitor Analysis: The report covers the key players of the industry including Company Profile, Product Specifications, Production Capacity/Sales, Revenue, Price and Gross Margin 2016-2027 & Sales with a thorough analysis of the market’s competitive landscape and detailed information on vendors and comprehensive details of factors that will challenge the growth of major market vendors.
Global and Regional Market Analysis: The report includes Global & Regional market status and outlook 2016-2027. Further the report provides break down details about each region & countries covered in the report. Identifying its sales, sales volume & revenue forecast. With detailed analysis by types and applications.
Market Trends: Market key trends which include Increased Competition and Continuous Innovations.
Opportunities and Drivers: Identifying the Growing Demands and New Technology
Porters Five Force Analysis: The report provides with the state of competition in industry depending on five basic forces: threat of new entrants, bargaining power of suppliers, bargaining power of buyers, threat of substitute products or services, and existing industry rivalry.
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Chapter 1 Industry Overview
1.1 Definition
1.2 Assumptions
1.3 Research Scope
1.4 Market Analysis by Regions
1.4.1 North America Market States and Outlook (2022-2027)
1.4.2 East Asia Market States and Outlook (2022-2027)
1.4.3 Europe Market States and Outlook (2022-2027)
1.4.4 South Asia Market States and Outlook (2022-2027)
1.4.5 Southeast Asia Market States and Outlook (2022-2027)
1.4.6 Middle East Market States and Outlook (2022-2027)
1.4.7 Africa Market States and Outlook (2022-2027)
1.4.8 Oceania Market States and Outlook (2022-2027)
1.4.9 South America Market States and Outlook (2022-2027)
1.5 Global Automation in Biopharmaceutical Market Size Analysis from 2022 to 2027
1.5.1 Global Automation in Biopharmaceutical Market Size Analysis from 2022 to 2027 by Consumption Volume
1.5.2 Global Automation in Biopharmaceutical Market Size Analysis from 2022 to 2027 by Value
1.5.3 Global Automation in Biopharmaceutical Price Trends Analysis from 2022 to 2027
1.6 COVID-19 Outbreak: Automation in Biopharmaceutical Industry Impact
Chapter 2 Global Automation in Biopharmaceutical Competition by Types, Applications, and Top Regions and Countries
2.1 Global Automation in Biopharmaceutical (Volume and Value) by Type
2.1.1 Global Automation in Biopharmaceutical Consumption and Market Share by Type (2016-2021)
2.1.2 Global Automation in Biopharmaceutical Revenue and Market Share by Type (2016-2021)
2.2 Global Automation in Biopharmaceutical (Volume and Value) by Application
2.2.1 Global Automation in Biopharmaceutical Consumption and Market Share by Application (2016-2021)
2.2.2 Global Automation in Biopharmaceutical Revenue and Market Share by Application (2016-2021)
2.3 Global Automation in Biopharmaceutical (Volume and Value) by Regions
2.3.1 Global Automation in Biopharmaceutical Consumption and Market Share by Regions (2016-2021)
2.3.2 Global Automation in Biopharmaceutical Revenue and Market Share by Regions (2016-2021)
Chapter 3 Production Market Analysis
3.1 Global Production Market Analysis
3.1.1 2016-2021 Global Capacity, Production, Capacity Utilization Rate, Ex-Factory Price, Revenue, Cost, Gross and Gross Margin Analysis
3.1.2 2016-2021 Major Manufacturers Performance and Market Share
3.2 Regional Production Market Analysis
3.2.1 2016-2021 Regional Market Performance and Market Share
3.2.2 North America Market
3.2.3 East Asia Market
3.2.4 Europe Market
3.2.5 South Asia Market
3.2.6 Southeast Asia Market
3.2.7 Middle East Market
3.2.8 Africa Market
3.2.9 Oceania Market
3.2.10 South America Market
3.2.11 Rest of the World Market
Chapter 4 Global Automation in Biopharmaceutical Sales, Consumption, Export, Import by Regions (2016-2021)
4.1 Global Automation in Biopharmaceutical Consumption by Regions (2016-2021)
4.2 North America Automation in Biopharmaceutical Sales, Consumption, Export, Import (2016-2021)
4.3 East Asia Automation in Biopharmaceutical Sales, Consumption, Export, Import (2016-2021)
4.4 Europe Automation in Biopharmaceutical Sales, Consumption, Export, Import (2016-2021)
4.5 South Asia Automation in Biopharmaceutical Sales, Consumption, Export, Import (2016-2021)
4.6 Southeast Asia Automation in Biopharmaceutical Sales, Consumption, Export, Import (2016-2021)
4.7 Middle East Automation in Biopharmaceutical Sales, Consumption, Export, Import (2016-2021)
4.8 Africa Automation in Biopharmaceutical Sales, Consumption, Export, Import (2016-2021)
4.9 Oceania Automation in Biopharmaceutical Sales, Consumption, Export, Import (2016-2021)
4.10 South America Automation in Biopharmaceutical Sales, Consumption, Export, Import (2016-2021)
Chapter 5 North America Automation in Biopharmaceutical Market Analysis
5.1 North America Automation in Biopharmaceutical Consumption and Value Analysis
5.1.1 North America Automation in Biopharmaceutical Market Under COVID-19
5.2 North America Automation in Biopharmaceutical Consumption Volume by Types
5.3 North America Automation in Biopharmaceutical Consumption Structure by Application
5.4 North America Automation in Biopharmaceutical Consumption by Top Countries
5.4.1 United States Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
5.4.2 Canada Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
5.4.3 Mexico Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
Chapter 6 East Asia Automation in Biopharmaceutical Market Analysis
6.1 East Asia Automation in Biopharmaceutical Consumption and Value Analysis
6.1.1 East Asia Automation in Biopharmaceutical Market Under COVID-19
6.2 East Asia Automation in Biopharmaceutical Consumption Volume by Types
6.3 East Asia Automation in Biopharmaceutical Consumption Structure by Application
6.4 East Asia Automation in Biopharmaceutical Consumption by Top Countries
6.4.1 China Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
6.4.2 Japan Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
6.4.3 South Korea Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
Chapter 7 Europe Automation in Biopharmaceutical Market Analysis
7.1 Europe Automation in Biopharmaceutical Consumption and Value Analysis
7.1.1 Europe Automation in Biopharmaceutical Market Under COVID-19
7.2 Europe Automation in Biopharmaceutical Consumption Volume by Types
7.3 Europe Automation in Biopharmaceutical Consumption Structure by Application
7.4 Europe Automation in Biopharmaceutical Consumption by Top Countries
7.4.1 Germany Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
7.4.2 UK Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
7.4.3 France Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
7.4.4 Italy Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
7.4.5 Russia Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
7.4.6 Spain Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
7.4.7 Netherlands Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
7.4.8 Switzerland Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
7.4.9 Poland Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
Chapter 8 South Asia Automation in Biopharmaceutical Market Analysis
8.1 South Asia Automation in Biopharmaceutical Consumption and Value Analysis
8.1.1 South Asia Automation in Biopharmaceutical Market Under COVID-19
8.2 South Asia Automation in Biopharmaceutical Consumption Volume by Types
8.3 South Asia Automation in Biopharmaceutical Consumption Structure by Application
8.4 South Asia Automation in Biopharmaceutical Consumption by Top Countries
8.4.1 India Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
8.4.2 Pakistan Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
8.4.3 Bangladesh Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
Chapter 9 Southeast Asia Automation in Biopharmaceutical Market Analysis
9.1 Southeast Asia Automation in Biopharmaceutical Consumption and Value Analysis
9.1.1 Southeast Asia Automation in Biopharmaceutical Market Under COVID-19
9.2 Southeast Asia Automation in Biopharmaceutical Consumption Volume by Types
9.3 Southeast Asia Automation in Biopharmaceutical Consumption Structure by Application
9.4 Southeast Asia Automation in Biopharmaceutical Consumption by Top Countries
9.4.1 Indonesia Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
9.4.2 Thailand Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
9.4.3 Singapore Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
9.4.4 Malaysia Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
9.4.5 Philippines Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
9.4.6 Vietnam Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
9.4.7 Myanmar Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
Chapter 10 Middle East Automation in Biopharmaceutical Market Analysis
10.1 Middle East Automation in Biopharmaceutical Consumption and Value Analysis
10.1.1 Middle East Automation in Biopharmaceutical Market Under COVID-19
10.2 Middle East Automation in Biopharmaceutical Consumption Volume by Types
10.3 Middle East Automation in Biopharmaceutical Consumption Structure by Application
10.4 Middle East Automation in Biopharmaceutical Consumption by Top Countries
10.4.1 Turkey Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
10.4.2 Saudi Arabia Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
10.4.3 Iran Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
10.4.4 United Arab Emirates Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
10.4.5 Israel Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
10.4.6 Iraq Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
10.4.7 Qatar Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
10.4.8 Kuwait Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
10.4.9 Oman Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
Chapter 11 Africa Automation in Biopharmaceutical Market Analysis
11.1 Africa Automation in Biopharmaceutical Consumption and Value Analysis
11.1.1 Africa Automation in Biopharmaceutical Market Under COVID-19
11.2 Africa Automation in Biopharmaceutical Consumption Volume by Types
11.3 Africa Automation in Biopharmaceutical Consumption Structure by Application
11.4 Africa Automation in Biopharmaceutical Consumption by Top Countries
11.4.1 Nigeria Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
11.4.2 South Africa Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
11.4.3 Egypt Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
11.4.4 Algeria Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
11.4.5 Morocco Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
Chapter 12 Oceania Automation in Biopharmaceutical Market Analysis
12.1 Oceania Automation in Biopharmaceutical Consumption and Value Analysis
12.2 Oceania Automation in Biopharmaceutical Consumption Volume by Types
12.3 Oceania Automation in Biopharmaceutical Consumption Structure by Application
12.4 Oceania Automation in Biopharmaceutical Consumption by Top Countries
12.4.1 Australia Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
12.4.2 New Zealand Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
Chapter 13 South America Automation in Biopharmaceutical Market Analysis
13.1 South America Automation in Biopharmaceutical Consumption and Value Analysis
13.1.1 South America Automation in Biopharmaceutical Market Under COVID-19
13.2 South America Automation in Biopharmaceutical Consumption Volume by Types
13.3 South America Automation in Biopharmaceutical Consumption Structure by Application
13.4 South America Automation in Biopharmaceutical Consumption Volume by Major Countries
13.4.1 Brazil Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
13.4.2 Argentina Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
13.4.3 Columbia Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
13.4.4 Chile Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
13.4.5 Venezuela Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
13.4.6 Peru Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
13.4.7 Puerto Rico Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
13.4.8 Ecuador Automation in Biopharmaceutical Consumption Volume from 2016 to 2021
Chapter 14 Company Profiles and Key Figures in Automation in Biopharmaceutical Business
14.1 Danaher
14.1.1 Danaher Company Profile
14.1.2 Danaher Automation in Biopharmaceutical Product Specification
14.1.3 Danaher Automation in Biopharmaceutical Production Capacity, Revenue, Price and Gross Margin (2016-2021)
14.2 GE
14.2.1 GE Company Profile
14.2.2 GE Automation in Biopharmaceutical Product Specification
14.2.3 GE Automation in Biopharmaceutical Production Capacity, Revenue, Price and Gross Margin (2016-2021)
14.3 PerkinElmer
14.3.1 PerkinElmer Company Profile
14.3.2 PerkinElmer Automation in Biopharmaceutical Product Specification
14.3.3 PerkinElmer Automation in Biopharmaceutical Production Capacity, Revenue, Price and Gross Margin (2016-2021)
14.4 Tecan Trading
14.4.1 Tecan Trading Company Profile
14.4.2 Tecan Trading Automation in Biopharmaceutical Product Specification
14.4.3 Tecan Trading Automation in Biopharmaceutical Production Capacity, Revenue, Price and Gross Margin (2016-2021)
14.5 Thermo Fisher Scientific
14.5.1 Thermo Fisher Scientific Company Profile
14.5.2 Thermo Fisher Scientific Automation in Biopharmaceutical Product Specification
14.5.3 Thermo Fisher Scientific Automation in Biopharmaceutical Production Capacity, Revenue, Price and Gross Margin (2016-2021)
14.6 Bruker
14.6.1 Bruker Company Profile
14.6.2 Bruker Automation in Biopharmaceutical Product Specification
14.6.3 Bruker Automation in Biopharmaceutical Production Capacity, Revenue, Price and Gross Margin (2016-2021)
14.7 Peak Analysis & Automation
14.7.1 Peak Analysis & Automation Company Profile
14.7.2 Peak Analysis & Automation Automation in Biopharmaceutical Product Specification
14.7.3 Peak Analysis & Automation Automation in Biopharmaceutical Production Capacity, Revenue, Price and Gross Margin (2016-2021)
14.8 Waters
14.8.1 Waters Company Profile
14.8.2 Waters Automation in Biopharmaceutical Product Specification
14.8.3 Waters Automation in Biopharmaceutical Production Capacity, Revenue, Price and Gross Margin (2016-2021)
14.9 Capsugel
14.9.1 Capsugel Company Profile
14.9.2 Capsugel Automation in Biopharmaceutical Product Specification
14.9.3 Capsugel Automation in Biopharmaceutical Production Capacity, Revenue, Price and Gross Margin (2016-2021)
14.10 RheoSense
14.10.1 RheoSense Company Profile
14.10.2 RheoSense Automation in Biopharmaceutical Product Specification
14.10.3 RheoSense Automation in Biopharmaceutical Production Capacity, Revenue, Price and Gross Margin (2016-2021)
14.11 Eirechrom
14.11.1 Eirechrom Company Profile
14.11.2 Eirechrom Automation in Biopharmaceutical Product Specification
14.11.3 Eirechrom Automation in Biopharmaceutical Production Capacity, Revenue, Price and Gross Margin (2016-2021)
14.12 BioProcess International
14.12.1 BioProcess International Company Profile
14.12.2 BioProcess International Automation in Biopharmaceutical Product Specification
14.12.3 BioProcess International Automation in Biopharmaceutical Production Capacity, Revenue, Price and Gross Margin (2016-2021)
14.13 Novasep
14.13.1 Novasep Company Profile
14.13.2 Novasep Automation in Biopharmaceutical Product Specification
14.13.3 Novasep Automation in Biopharmaceutical Production Capacity, Revenue, Price and Gross Margin (2016-2021)
Chapter 15 Global Automation in Biopharmaceutical Market Forecast (2022-2027)
15.1 Global Automation in Biopharmaceutical Consumption Volume, Revenue and Price Forecast (2022-2027)
15.1.1 Global Automation in Biopharmaceutical Consumption Volume and Growth Rate Forecast (2022-2027)
15.1.2 Global Automation in Biopharmaceutical Value and Growth Rate Forecast (2022-2027)
15.2 Global Automation in Biopharmaceutical Consumption Volume, Value and Growth Rate Forecast by Region (2022-2027)
15.2.1 Global Automation in Biopharmaceutical Consumption Volume and Growth Rate Forecast by Regions (2022-2027)
15.2.2 Global Automation in Biopharmaceutical Value and Growth Rate Forecast by Regions (2022-2027)
15.2.3 North America Automation in Biopharmaceutical Consumption Volume, Revenue and Growth Rate Forecast (2022-2027)
15.2.4 East Asia Automation in Biopharmaceutical Consumption Volume, Revenue and Growth Rate Forecast (2022-2027)
15.2.5 Europe Automation in Biopharmaceutical Consumption Volume, Revenue and Growth Rate Forecast (2022-2027)
15.2.6 South Asia Automation in Biopharmaceutical Consumption Volume, Revenue and Growth Rate Forecast (2022-2027)
15.2.7 Southeast Asia Automation in Biopharmaceutical Consumption Volume, Revenue and Growth Rate Forecast (2022-2027)
15.2.8 Middle East Automation in Biopharmaceutical Consumption Volume, Revenue and Growth Rate Forecast (2022-2027)
15.2.9 Africa Automation in Biopharmaceutical Consumption Volume, Revenue and Growth Rate Forecast (2022-2027)
15.2.10 Oceania Automation in Biopharmaceutical Consumption Volume, Revenue and Growth Rate Forecast (2022-2027)
15.2.11 South America Automation in Biopharmaceutical Consumption Volume, Revenue and Growth Rate Forecast (2022-2027)
15.3 Global Automation in Biopharmaceutical Consumption Volume, Revenue and Price Forecast by Type (2022-2027)
15.3.1 Global Automation in Biopharmaceutical Consumption Forecast by Type (2022-2027)
15.3.2 Global Automation in Biopharmaceutical Revenue Forecast by Type (2022-2027)
15.3.3 Global Automation in Biopharmaceutical Price Forecast by Type (2022-2027)
15.4 Global Automation in Biopharmaceutical Consumption Volume Forecast by Application (2022-2027)
15.5 Automation in Biopharmaceutical Market Forecast Under COVID-19
Chapter 16 Conclusions
Research Methodology
Research Methodology:
Automation in Biopharmaceutical Market Size Estimation
To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.
Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.
Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.
We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.
Data Source
Secondary Sources
This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.
These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.
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Qualitative Analysis |
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Primary Sources
As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.
On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.
These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.
Key Data Information from Primary Sources
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Total Market |
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