全球生物製药应用和 CQA 测量自动取样市场:通过监测方法类型、生物过程方法、工作量、可扩展性和关键区域:行业趋势和预测 (2022-2035)
市场调查报告书
商品编码
1120279

全球生物製药应用和 CQA 测量自动取样市场:通过监测方法类型、生物过程方法、工作量、可扩展性和关键区域:行业趋势和预测 (2022-2035)

Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA: Distribution by Type of Monitoring Method, Bioprocessing Method, Working Volume, Scalability, Key Geographical Regions : Industry Trends and Global Forecasts, 2022-2035

出版日期: | 出版商: Roots Analysis | 英文 197 Pages | 商品交期: 最快1-2个工作天内

价格

本报告研究和分析生物製药应用和 CQA 测量的全球自动取样市场,提供市场趋势、细分分析、专利分析、公司简介等。

内容

第一章前言

第 2 章执行摘要

第三章介绍

第 4 章市场格局:自动采样系统

  • 章节概述
  • 自动采样系统:整体市场格局
  • 自动采样系统製造商列表

第五章企业竞争力分析

  • 章节概述
  • 先决条件/关键参数
  • 范围和研究方法
  • 企业竞争力分析:北美自动采样系统製造商
  • 企业竞争力分析:欧洲自动采样系统製造商
  • 企业竞争力分析:亚太地区自动采样系统製造商

第 6 章公司简介:自动采样系统製造商

  • 章节概述
  • Agilent Technologies
  • Cytiva
  • Mettler Toledo
  • Pall Corporation
  • Shimadzu
  • Xylem

第 7 章市场格局:自动化样品采集/製备系统

  • 章节概述
  • 自动化样品采集/製备系统:整体市场格局
  • 自动化样本采集/製备系统製造商列表

第 8 章公司简介:自动化样品采集和製备系统製造商

  • 章节概述
  • Agilent Technologies
  • Biotage
  • Flownamics
  • MGI Tech
  • SOTAX

第九章专利分析

  • 章节概述
  • 范围和研究方法
  • 用于生物製药应用和 CQA 测量的自动取样:专利分析
  • 用于生物製药应用和 CQA 测量的自动取样:专利基准分析
  • 用于生物製药应用和 CQA 测量的自动采样:专利估值分析
  • 按引用次数划分的主要专利

第 10 章近期发展

  • 章节概述
  • 用于生物製药应用和 CQA 测量的自动取样:合作活动
  • 用于生物製药应用和 CQA 测量的自动取样:世界大事
  • 结论

第 11 章 SWOT 分析

第 12 章:波特五力分析

第 13 章市场预测和机会分析

  • 章节概述
  • 主要假设和研究方法
  • 用于生物製药应用和 CQA 测量的全球自动取样市场(2022-2035 年)

第 14 章从工业 1.0 到工业 5.0 的工业革命

  • 章节概述
  • 从工业 1.0 到工业 5.0
  • 实验室进化地平线
  • 工业 4.0 的优势
  • 工业 5.0 的好处
  • 结论

第十五章结论

第 16 章高管洞察

第 17 章附录 1:数据表

第 18 章附录 2:公司和组织列表

Product Code: RA100363

INTRODUCTION

During each stage of biopharmaceutical manufacturing process, it is essential to ensure that the bioprocess variables and parameters are under control. Sampling is considered to be an important step in the bioprocess. However, there are several challenges associated with conventional, manual aseptic sampling technique, such as high risk of contamination of the sample, high labor costs, operator-to-operator deviations during sampling and sample preparation, lower sample frequency rates and no real-time availability of data. This has created a demand for systems that allow aseptic sampling and handling of samples, reduce errors, and increase reproducibility. As a result, automatic sampling systems have emerged to be the most appropriate solution as these systems have the potential to address a number of challenges associated with manual sampling method and offer various additional benefits including real-time data monitoring, reduction in deviations by around 65% and increase in the overall productivity up to 80%. Moreover, automated sampling systems ensure that the processes continue to run within precise limits and make the necessary adjustments, while minimizing the risk of human errors, improving the overall product quality, timely monitoring critical process parameters, bringing tangible cost benefits and increased throughput.

Several companies are actively engaged in the manufacturing of automatic sampling systems and automatic sample preparation systems that can be used across various scale of operations in biopharmaceutical manufacturing. These systems have diverse applications, including bioprocess / analyte monitoring, fraction collection, data management and advanced process control / feedback control in biotechnology, pharmaceutical, chemical, food and cosmetic industries. In addition, automatic sampling systems use process analytical technology (PAT) that can be easily integrated in the bioprocessing unit in order to improve scalability. Further, the field has witnessed several innovations, constantly evolving guidelines for pharmaceutical bioprocessing, mainly based on automation, digitalization and process transparency. It is also important to highlight that several equipment manufacturers offering user-friendly, controlled, and automated systems, have recently emerged. Given the rising interest of stakeholders towards technological advancements and adoption of these systems, we believe that the overall market for automatic sampling in biopharmaceutical applications and the measurement of CQA is anticipated to witness substantial growth in the coming years.

SCOPE OF THE REPORT

The 'Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA, 2022-2035: Distribution by Type of Monitoring Method (On-line, Off-line and At-line), Bioprocessing Method (Upstream and Downstream), Working Volume (Less than 10 mL, 10-50 mL, 51-100 mL and more than 100 mL), Scalability (Lab Scale, Pilot Scale and Commercial Scale), Key Geographical Regions (North America, Europe, Asia-Pacific and Rest of the World): Industry Trends and Global Forecasts, 2022-2035' report features an extensive study on the current and future potential of automatic sampling systems. Due to the growing demand for biologics and stringent regulatory guidelines, the biopharmaceutical industry has shifted to using automatic sampling methods, which offer reliable systems for transferring bioprocess samples directly from bioreactors to analytical devices while maintaining the process sterility and integrity. In addition, it features an elaborate discussion on the likely opportunity for the players engaged in this domain, over the next decade. Amongst other elements, the report includes:

  • A detailed assessment of the current market landscape of automatic sampling systems, featuring a detailed analysis of these systems based on several parameters, such as type of monitoring method, type of sampling unit(s), availability of pump / probe, type of module, automated software, type of vessel, vessel fabrication material, type of analyte monitored, type of analyzer, number of sampling vessels, working volume, operating temperature, end user industry, scalability and applications of the system. In addition, the chapter includes analysis of automatic sampling system developers, along with information on their year of establishment, company size, location of headquarters and leading players (in terms of number of systems being offered).
  • A competitiveness analysis of automatic sampling systems manufacturers based on various relevant parameters, such as overall experience of the company (in terms of number of years since it was established), product portfolio strength (in terms of number of automatic sampling systems manufactured and type of monitoring method) and portfolio diversity (in terms of type of sampling unit, end user industry, scalability and applications).
  • Elaborate profiles of prominent players engaged in this domain. Each profile includes a brief overview of the company, details related to its financial information (if available), information on product portfolio, recent developments and an informed future outlook.
  • A detailed market landscape of automatic sample collection / preparation systems, based on a several relevant parameters, such as system category, system classification, type of monitoring method, type of sampling unit, type of module, working volume, type of analyzer, end user industry and scalability of the products. In addition, the chapter includes a list of players engaged in developing automatic sample collection / preparation systems along with information on their year of establishment, company size, location of headquarters. Further, it also highlights the leading manufacturers of automatic sample collection / preparation systems (in terms of the number of systems manufactured).
  • Detailed profiles of the players offering automatic sample collection / preparation systems. It includes a brief overview of the company, details of its product portfolio, and a section on recent developments and an informed future outlook.
  • An insightful analysis of the patents filed / granted for automatic sampling systems, since 2016, taking into consideration various relevant parameters, such as type of patent, publication year, geographical location, CPC symbols, emerging focus areas, type of organization, leading players (in terms of number of patents granted / filed in the given time period) and patent characteristics. In addition, the chapter includes a detailed patent benchmarking and an insightful valuation analysis.
  • An analysis of various developments / recent trends related to automatic sampling systems, offering insights on recent global events related to automatic sampling systems, and partnerships and collaborations established within the industry.
  • A discussion on affiliated trends, key drivers and challenges, under a SWOT framework, featuring a Harvey ball analysis, highlighting the relative impact of each SWOT parameter on the overall automatic sampling systems market.
  • A qualitative analysis, highlighting the five competitive forces prevalent in this domain, including threats of new entrants, bargaining power of customers, bargaining power of automatic sampling system manufacturers, threats of substitute products and rivalry among existing competitors.

One of the key objectives of the report was to estimate the existing market size and the future opportunity for automatic sampling systems, over the coming 13 years. We have provided informed estimates of the likely evolution of the market in the short to mid-term and long term, for the period 2022-2035. Our year-wise projections of the current and future opportunity have further been segmented based on relevant parameters, such as type of monitoring method (on-line, off-line and at-line), bioprocessing method (upstream and downstream), working volume (less than 10 ml, 10-50 ml, 51-100 ml and more than 100 ml), scalability (lab scale, pilot scale and commercial scale), and key geographical regions (North America, Europe, Asia-Pacific and Rest of the World). In order to account for future uncertainties and to add robustness to our model, we have provided three market forecast scenarios, namely conservative, base and optimistic scenarios, representing different tracks of the industry's growth.

All actual figures have been sourced and analyzed from publicly available information forums and primary research discussions. Financial figures mentioned in this report are in USD, unless otherwise specified.

RESEARCH METHODOLOGY

The data presented in this report has been gathered via secondary and primary research. For all our projects, we conduct interviews with experts in the area (academia, industry and other associations) to solicit their opinions on emerging trends in the market. The information is primarily useful for us to draw out our opinion on how the market will evolve across different regions and technology segments. Wherever possible, the available data has been validated from multiple sources of information.

The secondary sources of information include:

  • Annual reports
  • Investor presentations
  • SEC filings
  • Industry databases
  • News releases from company websites
  • Government policy documents
  • Industry analysts' views

While the focus has been on forecasting the market till 2035, the report also provides our independent views on various non-commercial trends emerging in the industry. This opinion is solely based on our knowledge, research and understanding of the relevant market gathered from various secondary and primary sources of information.

KEY QUESTIONS ANSWERED

  • Who are the key players engaged in the development of automatic sampling systems?
  • What is the relative competitiveness of different automatic sampling system manufacturers?
  • Who are the leading manufacturers involved in the automatic sample collection / preparation systems?
  • How has the intellectual property landscape in this domain evolved over the years?
  • What are the key agenda items being discussed in various global events / conferences held in this domain?
  • Which partnership models are most commonly adopted by stakeholders engaged in this industry?
  • How is the current and future market opportunity, likely to be distributed across key market segments?

CHAPTER OUTLINES

  • Chapter 2 is an executive summary of the key insights captured in our research. It offers a high-level view on the current state of the automatic sampling systems market and its likely evolution in the short-mid to long term.
  • Chapter 3 provides a brief overview of automatic sampling systems and process analytical technology (PAT) in sampling. Additionally, it features comparison between manual and automatic sampling, need for automatic sampling systems, components of a sampling system, stand-alone versus integrated systems, monitoring methods for critical process parameters and quality attributes, key considerations for automatic sampling and benefits of these systems to biopharmaceutical players. Further, it also highlights the future perspectives in this domain.
  • Chapter 4 presents an overview of the current market landscape of automatic sampling systems, featuring a detailed analysis of these systems based on several parameters, such as type of monitoring method, type of sampling unit(s), availability of pump / probe, type of module, automated software, type of vessel, vessel fabrication material, type of analyte monitored, type of analyzer, number of sampling vessels, working volume, operating temperature, end user industry, scalability and applications of the system. In addition, the chapter includes analysis of automatic sampling system developers, along with information on their year of establishment, company size, location of headquarters and leading players (in terms of number of systems being offered).
  • Chapter 5 provides a competitiveness analysis of automatic sampling systems manufacturers based on various relevant parameters, such as overall experience of the company (in terms of number of years since it was established), product portfolio strength (in terms of number of automatic sampling systems manufactured and type of monitoring method) and portfolio diversity (in terms of type of sampling unit, end user industry, scalability and applications).
  • Chapter 6 includes profiles of the key players engaged in the development of automatic sampling systems (shortlisted on the basis of the company size). Each profile features a brief overview of the company, its financial information (if available), details on its product portfolio, recent developments and an informed future outlook.
  • Chapter 7 presents an overview of the current market landscape of automatic sample collection / preparation systems, based on a several relevant parameters, such as system category, system classification, type of system, type of monitoring method, type of sampling unit, type of module, working volume, type of analyzer, end user industry and scalability of the products. In addition, the chapter includes a list of players engaged in developing automatic sample collection / preparation systems along with information on their year of establishment, company size, location of headquarters. Further, it also highlights the leading manufacturers of automatic sample collection / preparation systems (in terms of the number of systems manufactured).
  • Chapter 8 includes profiles of the key players engaged in the development of automatic sample collection / preparation systems (shortlisted on the basis of the number of systems manufactured). Each profile features a brief overview of the company, details on its product portfolio, recent developments and an informed future outlook.
  • Chapter 9 features an in-depth analysis of the patents that have been filed / granted for the automatic sampling systems, since 2016. The analysis also highlights the key trends associated with the patents, such as the type of patent (granted patent, patent application and others), publication year, annual number of granted patents and patent applications, geographical location, CPC symbols, emerging focus areas of the patents, type of organization and leading players (in terms of number of patents granted / filed). In addition, it includes detailed patent benchmarking and valuation analysis based on patent characteristics.
  • Chapter 10 features analyses of instances wherein companies have entered into partnerships with other stakeholders related to automatic sampling in biopharmaceutical applications and the measurement of CQA and recent events (conferences / seminars / symposiums / webinars / workshops) that were organized by several stakeholders engaged in this domain.
  • Chapter 11 provides information on the affiliated trends, key drivers and challenges associated with automatic sampling systems, under a reliable SWOT framework. The chapter includes a Harvey ball analysis, highlighting the relative impact of each SWOT parameter on the overall automatic sampling systems market.
  • Chapter 12 provides insights on a qualitative analysis highlighting five competitive forces in this domain, including threats of new entrants, bargaining power of customers, bargaining power of automatic sampling system manufacturers, threats of substitute products and rivalry among existing competitors.
  • Chapter 13 features a detailed market forecast of the likely growth of automatic sampling systems, till the year 2035. It also includes insights on the likely distribution of the current and forecasted opportunity across the type of monitoring method (on-line, off-line and at-line), bioprocessing method (upstream and downstream), working volume (less than 10 ml, 10-50 ml, 51-100 ml and more than 100 ml), scalability (lab scale, pilot scale and commercial scale), and key geographical regions (North America, Europe, Asia-Pacific and Rest of the World).
  • Chapter 14 presents a discussion about the transition of biopharmaceutical industry from 1.0 to 5.0, highlighting different horizons of laboratory evolution. Further, it presents the comparison between Industry 4.0 and Industry 5.0.
  • Chapter 15 is a summary of the overall report, presenting insights on the contemporary market trends and the likely evolution of the automatic sampling systems market.
  • Chapter 16 provides the transcripts of the interviews conducted with senior representatives of renowned organizations that are engaged in the automatic sampling domain.
  • Chapter 17 is an appendix, that contains tabulated data and numbers for all the figures provided in the report.
  • Chapter 18 is an appendix, that contains the list of companies and organizations mentioned in the report.

TABLE OF CONTENTS

1. PREFACE

  • 1.1. Scope of the Report
  • 1.2. Market Segmentation
  • 1.3. Research Methodology
  • 1.4. Key Questions Answered
  • 1.5. Chapter Outlines

2. EXECUTIVE SUMMARY

3. INTRODUCTION

  • 3.1. Chapter Overview
  • 3.2. Process Analytical Technology in Sampling
  • 3.3. Manual Sampling versus Automatic Sampling
  • 3.4. Need for Automatic Sampling Systems
  • 3.5. Automatic Aseptic Sampling System
  • 3.6. Components of a Sampling System
  • 3.7. Stand-alone Systems versus Integrated Systems
  • 3.8. Bioprocess Monitoring and Control Methods
    • 3.8.1. At-line Monitoring
    • 3.8.2. In-line Monitoring
    • 3.8.3. Off-line Monitoring
    • 3.8.4. On-line Monitoring
  • 3.9. Key Considerations for Automatic Sampling
    • 3.9.1. Sample Volume
    • 3.9.2. Cell Removal
    • 3.9.3. Sampling Rate
    • 3.9.4. Integration of Analyzers
    • 3.9.5. Feedback to Bioreactor
    • 3.9.6. Flexibility
    • 3.9.7. Transferability
    • 3.9.8. Price
  • 3.10. Benefits of Automatic Sampling Systems
  • 3.11. Standards and Requirements
  • 3.12. Future Innovations

4. MARKET LANDSCAPE: AUTOMATIC SAMPLING SYSTEMS

  • 4.1. Chapter Overview
  • 4.2. Automatic Sampling Systems: Overall Market Landscape
    • 4.2.1. Analysis by Type of Monitoring Method
    • 4.2.2. Analysis by Type of Sampling Unit
    • 4.2.3. Analysis by Availability of Pump / Probe
    • 4.2.4. Analysis by Type of Module
    • 4.2.5. Analysis by Automated Software
    • 4.2.6. Analysis by Type of Vessel
    • 4.2.7. Analysis by Vessel Fabrication Material
    • 4.2.8. Analysis by Type of Analyte Monitored
    • 4.2.9. Analysis by Type of Analyzer
    • 4.2.10. Analysis by Number of Sampling Vessels
    • 4.2.11. Analysis by Working Volume
    • 4.2.12. Analysis by Operating Temperature
    • 4.2.13. Analysis by End User Industry
    • 4.2.14. Analysis by Scalability
    • 4.2.15. Analysis by Application(s)
  • 4.3. List of Automatic Sampling System Manufacturers
    • 4.3.1. Analysis by Year of Establishment
    • 4.3.2. Analysis by Company Size
    • 4.3.3. Analysis by Region of Headquarters
    • 4.3.4. Analysis by Company Size and Region of Headquarters
    • 4.3.5. Analysis by Location of Headquarters
    • 4.3.6. Leading Players: Analysis by Number of Automatic Sampling Systems Manufactured
    • 4.2.7. Leading Automatic Sampling System Manufacturers: Analysis by Number of End User Industries

5. COMPANY COMPETITIVENESS ANALYSIS

  • 5.1. Chapter Overview
  • 5.2. Assumptions / Key Parameters
  • 5.3. Scope and Methodology
  • 5.4. Company Competitiveness Analysis: Automatic Sampling System Manufacturers in North America
  • 5.5. Company Competitiveness Analysis: Automatic Sampling System Manufacturers in Europe
  • 5.6. Company Competitiveness Analysis: Automatic Sampling System Manufacturers in Asia-Pacific

6. COMPANY PROFILES: AUTOMATIC SAMPLING SYSTEM MANUFACTURERS

  • 6.1. Chapter Overview
  • 6.2. Agilent Technologies
    • 6.2.1. Company Overview
    • 6.2.2. Financial Information
    • 6.2.3. Product Portfolio
    • 6.2.4. Recent Developments and Future Outlook
  • 6.3. Cytiva
    • 6.3.1. Company Overview
    • 6.3.2. Product Portfolio
    • 6.3.3. Recent Developments and Future Outlook
  • 6.4. Mettler Toledo
    • 6.4.1. Company Overview
    • 6.4.2. Financial Information
    • 6.4.3. Product Portfolio
    • 6.4.4. Recent Developments and Future Outlook
  • 6.5. Pall Corporation
    • 6.5.1. Company Overview
    • 6.5.2. Product Portfolio
    • 6.5.3. Recent Developments and Future Outlook
  • 6.6. Shimadzu
    • 6.6.1. Company Overview
    • 6.6.2. Financial Information
    • 6.6.3. Product Portfolio
    • 6.6.4. Recent Developments and Future Outlook
  • 6.7. Xylem
    • 6.7.1. Company Overview
    • 6.7.2. Financial Information
    • 6.7.3. Product Portfolio
    • 6.7.4. Recent Developments and Future Outlook

7. MARKET LANDSCAPE: AUTOMATIC SAMPLE COLLECTION / PREPARATION SYSTEMS

  • 7.1. Chapter Overview
  • 7.2. Automatic Sample Collection / Preparation Systems: Overall Market Landscape
    • 7.2.1. Analysis by System Category
    • 7.2.2. Analysis by System Classification
    • 7.2.3. Analysis by Type of Monitoring Method
    • 7.2.4. Analysis by Type of Sampling Unit
    • 7.2.5. Analysis by Type of Module
    • 7.2.6. Analysis by Working Volume
    • 7.2.7. Analysis by Type of Analyzer
    • 7.2.8. Analysis by End User Industry
    • 7.2.9. Analysis by Scalability
  • 7.3. List of Automatic Sample Collection / Preparation System Manufacturers
    • 7.3.1. Analysis by Year of Establishment
    • 7.3.2. Analysis by Company Size
    • 7.3.3. Analysis by Region of Headquarters
    • 7.3.4. Analysis by Company Size and Region of Headquarters
    • 7.3.5. Analysis by Location of Headquarters
    • 7.3.6. Leading Players: Analysis by Number of Automatic Sample Collection / Preparation Systems Manufactured

8. COMPANY PROFILES: AUTOMATIC SAMPLE COLLECTION / PREPARATION SYSTEM MANUFACTURERS

  • 8.1. Chapter Overview
  • 8.2. Agilent Technologies
    • 8.2.1. Company Overview
    • 8.2.2. Product Portfolio
    • 8.2.3. Recent Developments and Future Outlook
  • 8.3. Biotage
    • 8.3.1. Company Overview
    • 8.3.2. Product Portfolio
    • 8.3.3. Recent Developments and Future Outlook
  • 8.4. Flownamics
    • 8.4.1. Company Overview
    • 8.4.2. Product Portfolio
    • 8.4.3. Recent Developments and Future Outlook
  • 8.5. MGI Tech
    • 8.5.1. Company Overview
    • 8.5.2. Product Portfolio
    • 8.5.3. Recent Developments and Future Outlook
  • 8.6. SOTAX
    • 8.6.1. Company Overview
    • 8.6.2. Product Portfolio
    • 8.6.3. Recent Developments and Future Outlook

9. PATENT ANALYSIS

  • 9.1. Chapter Overview
  • 9.2. Scope and Methodology
  • 9.3. Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA: Patent Analysis
    • 9.3.1. Analysis by Publication Year
    • 9.3.2. Analysis by Annual Number of Granted Patents and Patent Applications
    • 9.3.3. Analysis by Geographical Location
    • 9.3.4. Analysis by CPC Symbols
    • 9.3.5. Word Cloud: Emerging Focus Areas
    • 9.3.6. Analysis by Type of Organization
    • 9.3.7. Leading Industry Players: Analysis by Number of Patents
    • 9.3.8. Leading Non-Industry Players: Analysis by Number of Patents
    • 9.3.9. Leading Individual Assignees: Analysis by Number of Patents
  • 9.4. Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA: Patent Benchmarking Analysis
    • 9.4.1. Analysis by Patent Characteristics
  • 9.5. Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA: Patent Valuation Analysis
  • 9.6. Leading Patents by Number of Citations

10. RECENT DEVELOPMENTS

  • 10.1. Chapter Overview
  • 10.2. Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA: Partnership Activity
    • 10.2.1. Partnership Models
    • 10.2.2. List of Partnerships and Collaborations
      • 10.2.2.1. Analysis by Year of Partnership
      • 10.2.2.2. Analysis by Type of Partnership
      • 10.2.2.3. Analysis by Type of Product
      • 10.2.2.4. Analysis by Product and Type of Partnership
      • 10.2.2.5. Most Active Players: Analysis by Number of Partnerships
      • 10.2.2.6. Word Cloud: Emerging Focus Areas
      • 10.2.2.7. Regional Analysis
      • 10.2.2.8. Intercontinental and Intracontinental Agreements
  • 10.3. Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA: Global Events
    • 10.3.1. List of Global Events
      • 10.3.1.1. Analysis by Year of Event
      • 10.3.1.2. Analysis by Event Platform
      • 10.3.1.3. Analysis by Type of Event
      • 10.3.1.4. Analysis by Geography
      • 10.3.1.5. Word Cloud: Evolutionary Trends in Event Agenda / Key Focus Area
      • 10.3.1.6. Most Active Participants: Analysis by Number of Events
      • 10.3.1.7. Analysis by Seniority Level of Event Speakers
  • 10.4. Concluding Remarks

11. SWOT ANALYSIS

  • 11.1. Chapter Overview
  • 11.2. Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA: SWOT Analysis
    • 11.2.1. Comparison of SWOT Factors

12. PORTERS FIVE FORCES ANALYSIS

  • 12.1. Chapter Overview
  • 12.2. Methodology and Assumptions
  • 12.3. Key Parameters
    • 12.3.1. Threats of New Entrants
    • 12.3.2. Bargaining Power of Customers
    • 12.3.3. Bargaining Power of Automatic Sampling System Manufacturers
    • 12.3.4. Threats of Substitute Products
    • 12.3.5. Rivalry Among Existing Competitors
  • 12.4. Concluding Remarks

13. MARKET FORECAST AND OPPORTUNITY ANALYSIS

  • 13.1. Chapter Overview
  • 13.2. Key Assumptions and Methodology
  • 13.3. Global Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022-2035
    • 13.3.1. Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022 and 2035: Distribution by Type of Monitoring Method
      • 13.3.1.1. Automatic Sampling Market for On-line Monitoring, 2022-2035
      • 13.3.1.2. Automatic Sampling Market for Off-line Monitoring, 2022-2035
      • 13.3.1.3. Automatic Sampling Market for At-line Monitoring, 2022-2035
    • 13.3.2. Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022 and 2035: Distribution by Type of Bioprocessing Method
      • 13.3.2.1. Automatic Sampling Market for Upstream Bioprocessing, 2022-2035
      • 13.3.2.2. Automatic Sampling Market for Downstream Bioprocessing, 2022-2035
    • 13.3.3. Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022 and 2035: Distribution by Working Volume
      • 13.3.3.1. Automatic Sampling Market for Systems with less than 10 mL Working Volume, 2022-2035
      • 13.3.3.2. Automatic Sampling Market for Systems with 10-50 mL Working Volume, 2022-2035
      • 13.3.3.3. Automatic Sampling Market for Systems with 51-100 mL Working Volume, 2022-2035
      • 13.3.3.4. Automatic Sampling Market for Systems with more than 100 mL Working Volume, 2022-2035
    • 13.3.4. Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022 and 2035: Distribution by Scalability
      • 13.3.4.1. Automatic Sampling Market for Lab Scale Operations, 2022-2035
      • 13.3.4.2. Automatic Sampling Market for Pilot Scale Operations, 2022-2035
      • 13.3.4.3. Automatic Sampling Market for Commercial Scale Operations, 2022 2035
    • 13.3.5. Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022 and 2035: Distribution by Key Geographical Regions
      • 13.3.5.1. Automatic Sampling Market in North America, 2022-2035
      • 13.3.5.2. Automatic Sampling Market in Europe, 2022-2035
      • 13.3.5.3. Automatic Sampling Market in Asia-Pacific and Rest of the World, 2022 2035

14. INDUSTRIAL REVOLUTION FROM INDUSTRY 1.0 TO INDUSTRY 5.0

  • 14.1. Chapter Overview
  • 14.2. Transition from Industry 1.0 to Industry 5.0
    • 14.2.1. Industry 1.0
    • 14.2.2. Industry 2.0
    • 14.2.3. Industry 3.0
    • 14.2.4. Industry 4.0
    • 14.2.5. Industry 5.0
  • 14.3. Horizons of Lab Evolution
  • 14.4. Benefits of Industry 4.0
  • 14.5. Benefits of Industry 5.0
  • 14.6. Concluding Remarks

15. CONCLUDING REMARKS

16. EXECUTIVE INSIGHTS

17. APPENDIX 1: TABULATED DATA

18. APPENDIX 2: LIST OF COMPANIES AND ORGANIZATIONS

LIST OF TABLES

  • Table 4.1 Automatic Sampling Systems: Information on Type of Monitoring Method, Type of Sample Monitored, Type of Sampling Unit(s) and Bioprocessing Method
  • Table 4.2 Automatic Sampling Systems: Information on Key Features
  • Table 4.3 Automatic Sampling Systems: Information on Usability, Automated Software, Type of Vessel, Vessel Fabrication Material, Type of Analyte Monitored, Certification and Regulatory Compliance
  • Table 4.4 Automatic Sampling Systems: Information on Type of Analyzer
  • Table 4.5 Automatic Sampling Systems: Information on Product Specifications
  • Table 4.6 Automatic Sampling Systems: Information on End User Industry and Scalability
  • Table 4.7 Automatic Sampling Systems: Information on Sterilizability and Application(s)
  • Table 4.8 List of Automatic Sampling System Manufacturers: Information on Year of Establishment, Employee Count, Company Size, Location and Region of Headquarters
  • Table 6.1 Automatic Sampling System Manufacturers: List of Companies Profiled
  • Table 6.2 Agilent Technologies: Company Snapshot
  • Table 6.3 Agilent Technologies: 850-DS Sampling Station
  • Table 6.4 Agilent Technologies: Recent Developments and Future Outlook
  • Table 6.5 Cytiva: Company Snapshot
  • Table 6.6 Cytiva: ALIAS™
  • Table 6.7 Cytiva: Recent Developments and Future Outlook
  • Table 6.8 Mettler Toledo: Company Snapshot
  • Table 6.9 Mettler Toledo: EasySampler 1210 System
  • Table 6.10 Mettler Toledo: Recent Developments and Future Outlook
  • Table 6.11 Pall Corporation: Company Snapshot
  • Table 6.12 Pall Corporation: Allegro™ MVP Single-Use System
  • Table 6.13 Pall Corporation: Recent Developments and Future Outlook
  • Table 6.14 Shimadzu: Company Snapshot
  • Table 6.15 Shimadzu: Perfinity Workstation
  • Table 6.16 Shimadzu: Recent Developments and Future Outlook
  • Table 6.17 Xylem: Company Snapshot
  • Table 6.18 Xylem: YSI 2940/2980
  • Table 6.19 Xylem: Recent Developments and Future Outlook
  • Table 7.1 Automatic Sample Collection / Preparation Systems: Information on System Category, System Classification and Type of Monitoring Method
  • Table 7.2 Automatic Sample Collection / Preparation Systems: Information on Key Features
  • Table 7.3 Automatic Sample Collection / Preparation Systems: Information on Product Specifications, Type of Analyzer, Certification and Regulatory Compliance
  • Table 7.4 Automatic Sample Collection / Preparation Systems: Information on End User Industry and Scalability
  • Table 7.5 List of Automatic Sample Collection / Preparation System Manufacturers: Information on Year of Establishment, Employee Count, Company Size, Location and Region of Headquarters
  • Table 8.1 Automatic Sample Collection / Preparation System Manufacturers: List of Companies Profiled
  • Table 8.2 Agilent Technologies: Company Snapshot
  • Table 8.3 Agilent Technologies: AssayMAP Bravo Protein Sample Prep Platform
  • Table 8.4 Agilent Technologies: 7696A Sample Prep Workbench
  • Table 8.5 Biotage: Company Snapshot
  • Table 8.6 Biotage: Extrahera™
  • Table 8.7 Biotage: Extrahera LV-200
  • Table 8.8 Biotage: Recent Developments and Future Outlook
  • Table 8.9 Flownamics: Company Snapshot
  • Table 8.10 Flownamics: Sample-Mod™
  • Table 8.11 Flownamics: Seg-Flow® Autosampler
  • Table 8.12 Flownamics: FlowFraction™
  • Table 8.13 Flownamics: Recent Developments and Future Outlook
  • Table 8.14 MGI Tech: Company Snapshot
  • Table 8.15 MGI Tech: MGISP-960
  • Table 8.16 MGI Tech: MGISP-Smart 8
  • Table 8.17 MGI Tech: MGISP-100
  • Table 8.18 MGI Tech: Recent Developments and Future Outlook
  • Table 8.19 SOTAX: Company Snapshot
  • Table 8.20 SOTAX: TPW™ Automated Sample Preparation Workstation
  • Table 8.21 SOTAX: APW™ Automated Sample Preparation Workstation
  • Table 8.22 SOTAX: CTS Automated Sample Preparation Workstation
  • Table 9.1 Patent Analysis: Top 10 CPC Symbol Definitions
  • Table 9.2 Patent Analysis: Top Five CPC Symbols
  • Table 9.3 Patent Analysis: Top Seven CPC Classification Symbol Definitions
  • Table 9.4 Patent Analysis: Summary of Benchmarking Analysis
  • Table 9.5 Patent Analysis: Categorization based on Weighted Valuation Scores
  • Table 9.6 Patent Portfolio: List of Leading Patents (by Highest Relative Valuation)
  • Table 9.7 Patent Portfolio: List of Leading Patents (by Number of Citations)
  • Table 10.1 List of Partnerships and Collaborations, Pre-2017-2022 (till April)
  • Table 10.2 List of Partnerships and Collaborations: Information on Focus Area and Type of Product, Pre-2017-2022 (till April)
  • Table 10.3 List of Global Events related to Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA
  • Table 17.1 Automatic Sampling Systems: Distribution by Type of Monitoring Method
  • Table 17.2 Automatic Sampling Systems: Distribution by Type of Sampling Unit
  • Table 17.3 Automatic Sampling Systems: Distribution by Availability of Pump / Probe
  • Table 17.4 Automatic Sampling Systems: Distribution by Type of Module
  • Table 17.5 Automatic Sampling Systems: Distribution by Automated Software
  • Table 17.6 Automatic Sampling Systems: Distribution by Type of Vessel
  • Table 17.7 Automatic Sampling Systems: Distribution by Vessel Fabrication Material
  • Table 17.8 Automatic Sampling Systems: Distribution by Type of Analyte Monitored
  • Table 17.9 Automatic Sampling Systems: Distribution by Type of Analyzer
  • Table 17.10 Automatic Sampling Systems: Distribution by Number of Sampling Vessels
  • Table 17.11 Automatic Sampling Systems: Distribution by Working Volume (mL)
  • Table 17.12 Automatic Sampling Systems: Distribution by Operating Temperature (oC)
  • Table 17.13 Automatic Sampling Systems: Distribution by End User Industry
  • Table 17.14 Automatic Sampling Systems: Distribution by Scalability
  • Table 17.15 Automatic Sampling Systems: Distribution by Application(s)
  • Table 17.16 Automatic Sampling System Manufacturers: Distribution by Year of Establishment
  • Table 17.17 Automatic Sampling System Manufacturers: Distribution by Company Size
  • Table 17.18 Automatic Sampling System Manufacturers: Distribution by Region of Headquarters
  • Table 17.19 Automatic Sampling System Manufacturers: Distribution by Company Size and Region of Headquarters
  • Table 17.20 Automatic Sampling System Manufacturers: Distribution by Location of Headquarters
  • Table 17.21 Leading Players: Distribution by Number of Automatic Sampling Systems Manufactured
  • Table 17.22 Leading Automatic Sampling System Manufacturers: Distribution by Number of End User Industries
  • Table 17.23 Agilent Technologies: Annual Revenues, FY 2017-Q1 2022 (USD Billion)
  • Table 17.24 Mettler Toledo: Annual Revenues, 2017-2021 (USD Billion)
  • Table 17.25 Shimadzu: Annual Revenues, FY 2017-9M 2022 (JPY Billion)
  • Table 17.26 Xylem: Annual Revenues, 2017-2021 (USD Billion)
  • Table 17.27 Automatic Sample Collection / Preparation Systems: Distribution by System Category
  • Table 17.28 Automatic Sample Collection / Preparation Systems: Distribution by System Classification
  • Table 17.29 Automatic Sample Collection / Preparation Systems: Distribution by Type of Monitoring Method
  • Table 17.30 Automatic Sample Collection / Preparation Systems: Distribution by Type of Sampling Unit
  • Table 17.31 Automatic Sample Collection / Preparation Systems: Distribution by Type of Module
  • Table 17.32 Automatic Sample Collection / Preparation Systems: Distribution by Working Volume (mL)
  • Table 17.33 Automatic Sample Collection / Preparation Systems: Distribution by Type of Analyzer
  • Table 17.34 Automatic Sample Collection / Preparation Systems: Distribution by End User Industry
  • Table 17.35 Automatic Sample Collection / Preparation Systems: Distribution by Scalability
  • Table 17.36 Automatic Sample Collection / Preparation System Manufacturers: Distribution by Year of Establishment
  • Table 17.37 Automatic Sample Collection / Preparation System Manufacturers: Distribution by Company Size
  • Table 17.38 Automatic Sample Collection / Preparation System Manufacturers: Distribution by Region of Headquarters
  • Table 17.39 Automatic Sample Collection / Preparation System Manufacturers: Distribution by Company Size and Region of Headquarters
  • Table 17.40 Automatic Sample Collection / Preparation System Manufacturers: Distribution by Location of Headquarters
  • Table 17.41 Leading Players: Distribution by Number of Automatic Sample Collection / Preparation Systems Manufactured
  • Table 17.42 Patent Analysis: Distribution by Type of Patent
  • Table 17.43 Patent Analysis: Cumulative Distribution by Publication Year, 2016-2022 (till March)
  • Table 17.44 Patent Analysis: Distribution by Annual Number of Granted Patents and Patent Applications, 2016-2022 (till March)
  • Table 17.45 Patent Analysis: Distribution by Geographical Location
  • Table 17.46 Patent Analysis: Cumulative Year-wise Distribution by Type of Organization, 2016-2022 (till March)
  • Table 17.47 Leading Industry Players: Distribution by Number of Patents
  • Table 17.48 Leading Non-Industry Players: Distribution by Number of Patents
  • Table 17.49 Leading Individual Assignees: Distribution by Number of Patents
  • Table 17.50 Patent Analysis: Year-wise Distribution of Patents by Age, 2006-2021
  • Table 17.51 Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA: Patent Valuation Analysis
  • Table 17.52 Partnerships and Collaborations: Cumulative Year-wise Trend, Pre-2017-2022 (till April)
  • Table 17.53 Partnerships and Collaborations: Distribution by Type of Partnership
  • Table 17.54 Partnerships and Collaborations: Distribution by Year and Type of Partnership, Pre-2017-2022 (till April)
  • Table 17.55 Partnerships and Collaborations: Distribution by Type of Product
  • Table 17.56 Most Active Players: Distribution by Number of Partnerships
  • Table 17.57 Partnerships and Collaborations: Regional Distribution
  • Table 17.58 Partnerships and Collaborations: Intercontinental and Intracontinental Agreements
  • Table 17.59 Global Events: Cumulative Year-wise Trend, 2016-H1 2022
  • Table 17.60 Global Events: Distribution by Event Platform
  • Table 17.61 Global Events: Distribution by Type of Event
  • Table 17.62 Global Events: Regional Distribution of Events
  • Table 17.63 Most Active Industry Participants: Distribution by Number of Events
  • Table 17.64 Global Events: Distribution by Seniority Level of Event Speakers
  • Table 17.65 Global Events: Distribution by Affiliated Department of Event Speakers
  • Table 17.66 Global Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022-2035: Conservative, Base and Optimistic Scenarios (USD Million)
  • Table 17.67 Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022 and 2035: Distribution by Type of Monitoring Method
  • Table 17.68 Automatic Sampling Market for On-line Monitoring, 2022-2035: Conservative, Base and Optimistic Scenarios (USD Million)
  • Table 17.69 Automatic Sampling Market for Off-line Monitoring, 2022-2035: Conservative, Base and Optimistic Scenarios (USD Million)
  • Table 17.70 Automatic Sampling Market for At-line Monitoring, 2022-2035: Conservative, Base and Optimistic Scenarios (USD Million)
  • Table 17.71 Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022 and 2035: Distribution by Type of Bioprocessing Method
  • Table 17.72 Automatic Sampling Market for Upstream Bioprocessing, 2022-2035: Conservative, Base and Optimistic Scenarios (USD Million)
  • Table 17.73 Automatic Sampling Market for Downstream Bioprocessing, 2022-2035: Conservative, Base and Optimistic Scenarios (USD Million)
  • Table 17.74 Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022 and 2035: Distribution by Working Volume
  • Table 17.75 Automatic Sampling Market for Systems with less than 10 mL Working Volume, 2022-2035: Conservative, Base and Optimistic Scenarios (USD Million)
  • Table 17.76 Automatic Sampling Market for Systems with 10-50 mL Working Volume, 2022-2035: Conservative, Base and Optimistic Scenarios (USD Million)
  • Table 17.77 Automatic Sampling Market for Systems with 51-100 mL Working Volume, 2022-2035: Conservative, Base and Optimistic Scenarios (USD Million)
  • Table 17.78 Automatic Sampling Market for Systems with more than 100 mL Working Volume, 2022-2035: Conservative, Base and Optimistic Scenarios (USD Million)
  • Table 17.79 Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022 and 2035: Distribution by Scalability
  • Table 17.80 Automatic Sampling Market for Lab Scale Operations, 2022-2035: Conservative, Base and Optimistic Scenarios (USD Million)
  • Table 17.81 Automatic Sampling Market for Pilot Scale Operations, 2022-2035: Conservative, Base and Optimistic Scenarios (USD Million)
  • Table 17.82 Automatic Sampling Market for Commercial Scale Operations, 2022-2035: Conservative, Base and Optimistic Scenarios (USD Million)
  • Table 17.83 Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022 and 2035: Distribution by Key Geographical Regions
  • Table 17.84 Automatic Sampling Market in North America, 2022-2035: Conservative, Base and Optimistic Scenarios (USD Million)
  • Table 17.85 Automatic Sampling Market in Europe, 2022-2035: Conservative, Base and Optimistic Scenarios (USD Million)
  • Table 17.86 Automatic Sampling Market in Asia-Pacific and Rest of the World, 2022-2035: Conservative, Base and Optimistic Scenarios (USD Million)

LIST OF FIGURES

  • Figure 2.1 Executive Summary: Automatic Sampling Systems Market Landscape
  • Figure 2.2 Executive Summary: Automatic Sample Collection / Preparation Systems Market Landscape
  • Figure 2.3 Executive Summary: Patent Analysis
  • Figure 2.4 Executive Summary: Recent Developments
  • Figure 2.5 Executive Summary: Market Forecast and Opportunity Analysis
  • Figure 3.1 Manual Sampling versus Automatic Sampling
  • Figure 3.2 Automatic Aseptic Sampling System
  • Figure 3.3 Bioprocess Monitoring and Control Methods
  • Figure 3.4 Key Considerations for Automatic Sampling
  • Figure 3.5 Benefits of Automatic Sampling Systems
  • Figure 4.1 Automatic Sampling Systems: Distribution by Type of Monitoring Method
  • Figure 4.2 Automatic Sampling Systems: Distribution by Type of Sampling Unit
  • Figure 4.3 Automatic Sampling Systems: Distribution by Availability of Pump / Probe
  • Figure 4.4 Automatic Sampling Systems: Distribution by Type of Module
  • Figure 4.5 Automatic Sampling Systems: Distribution by Automated Software
  • Figure 4.6 Automatic Sampling Systems: Distribution by Type of Vessel
  • Figure 4.7 Automatic Sampling Systems: Distribution by Vessel Fabrication Material
  • Figure 4.8 Automatic Sampling Systems: Distribution by Type of Analyte Monitored
  • Figure 4.9 Automatic Sampling Systems: Distribution by Type of Analyzer
  • Figure 4.10 Automatic Sampling Systems: Distribution by Number of Sampling Vessels
  • Figure 4.11 Automatic Sampling Systems: Distribution by Working Volume (mL)
  • Figure 4.12 Automatic Sampling Systems: Distribution by Operating Temperature (oC)
  • Figure 4.13 Automatic Sampling Systems: Distribution by End User Industry
  • Figure 4.14 Automatic Sampling Systems: Distribution by Scalability
  • Figure 4.15 Automatic Sampling Systems: Distribution by Application(s)
  • Figure 4.16 Automatic Sampling System Manufacturers: Distribution by Year of Establishment
  • Figure 4.17 Automatic Sampling System Manufacturers: Distribution by Company Size
  • Figure 4.18 Automatic Sampling System Manufacturers: Distribution by Region of Headquarters
  • Figure 4.19 Automatic Sampling System Manufacturers: Distribution by Company Size and Region of Headquarters
  • Figure 4.20 Automatic Sampling System Manufacturers: Distribution by Location of Headquarters
  • Figure 4.21 Leading Players: Distribution by Number of Automatic Sampling Systems Manufactured
  • Figure 4.22 Leading Automatic Sampling System Manufacturers: Distribution by Number of End User Industries
  • Figure 5.1 Company Competitiveness Analysis: Automatic Sampling System Manufacturers in North America
  • Figure 5.2 Company Competitiveness Analysis: Automatic Sampling System Manufacturers in Europe
  • Figure 5.3 Company Competitiveness Analysis: Automatic Sampling System Manufacturers in Asia-Pacific
  • Figure 6.1 Agilent Technologies: Annual Revenues, FY 2017-Q1 2022 (USD Billion)
  • Figure 6.2 Mettler Toledo: Annual Revenues, 2017-2021 (USD Billion)
  • Figure 6.3 Shimadzu: Annual Revenues, FY 2017-9M 2022 (JPY Billion)
  • Figure 6.4 Xylem: Annual Revenues, 2017-2021 (USD Billion)
  • Figure 7.1 Automatic Sample Collection / Preparation Systems: Distribution by System Category
  • Figure 7.2 Automatic Sample Collection / Preparation Systems: Distribution by System Classification
  • Figure 7.3 Automatic Sample Collection / Preparation Systems: Distribution by Type of Monitoring Method
  • Figure 7.4 Automatic Sample Collection / Preparation Systems: Distribution by Type of Sampling Unit
  • Figure 7.5 Automatic Sample Collection / Preparation Systems: Distribution by Type of Module
  • Figure 7.6 Automatic Sample Collection / Preparation Systems: Distribution by Working Volume (mL)
  • Figure 7.7 Automatic Sample Collection / Preparation Systems: Distribution by Type of Analyzer
  • Figure 7.8 Automatic Sample Collection / Preparation Systems: Distribution by End User Industry
  • Figure 7.9 Automatic Sample Collection / Preparation Systems: Distribution by Scalability
  • Figure 7.10 Automatic Sample Collection / Preparation System Manufacturers: Distribution by Year of Establishment
  • Figure 7.11 Automatic Sample Collection / Preparation System Manufacturers: Distribution by Company Size
  • Figure 7.12 Automatic Sample Collection / Preparation System Manufacturers: Distribution by Region of Headquarters
  • Figure 7.13 Automatic Sample Collection / Preparation System Manufacturers: Distribution by Company Size and Region of Headquarters
  • Figure 7.14 Automatic Sample Collection / Preparation System Manufacturers: Distribution by Location of Headquarters
  • Figure 7.15 Leading Players: Distribution by Number of Automatic Sample Collection / Preparation Systems Manufactured
  • Figure 9.1 Patent Analysis: Distribution by Type of Patent
  • Figure 9.2 Patent Analysis: Cumulative Distribution by Publication Year, 2016-2022 (till March)
  • Figure 9.3 Patent Analysis: Distribution by Annual Number of Granted Patents and Patent Applications, 2016-2022 (till March)
  • Figure 9.4 Patent Analysis: Distribution by Geographical Location
  • Figure 9.5 Patent Analysis: Distribution by CPC Symbols
  • Figure 9.6 Word Cloud: Emerging Focus Areas
  • Figure 9.7 Patent Analysis: Cumulative Year-wise Distribution by Type of Organization, 2016-2022 (till March)
  • Figure 9.8 Leading Industry Players: Distribution by Number of Patents
  • Figure 9.9 Leading Non-Industry Players: Distribution by Number of Patents
  • Figure 9.10 Leading Individual Assignees: Distribution by Number of Patents
  • Figure 9.11 Leading Players: Benchmarking by Patent Characteristics (CPC Symbols)
  • Figure 9.12 Patent Analysis: Year-wise Distribution of Patents by Age, 2006-2021
  • Figure 9.13 Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA: Patent Valuation Analysis
  • Figure 10.1 Partnerships and Collaborations: Cumulative Year-wise Trend, Pre-2017-2022 (till April)
  • Figure 10.2 Partnerships and Collaborations: Distribution by Type of Partnership
  • Figure 10.3 Partnerships and Collaborations: Distribution by Year and Type of Partnership, Pre-2017-2022 (till April)
  • Figure 10.4 Partnerships and Collaborations: Distribution by Type of Product
  • Figure 10.5 Partnerships and Collaborations: Distribution by Product and Type of Partnership
  • Figure 10.6 Most Active Players: Distribution by Number of Partnerships
  • Figure 10.7 Word Cloud: Emerging Focus Areas
  • Figure 10.8 Partnerships and Collaborations: Regional Distribution
  • Figure 10.9 Partnerships and Collaborations: Intercontinental and Intracontinental Agreements
  • Figure 10.10 Global Events: Cumulative Year-wise Trend, 2016-H1 2022
  • Figure 10.11 Global Events: Distribution by Event Platform
  • Figure 10.12 Global Events: Distribution by Type of Event
  • Figure 10.13 Global Events: Regional Distribution of Events
  • Figure 10.14 Word Cloud: Evolutionary Trends in Event Agenda / Key Focus Area
  • Figure 10.15 Global Events: Historical Trend of Event Agendas, 2016-H1 2022
  • Figure 10.16 Most Active Industry Participants: Distribution by Number of Events
  • Figure 10.17 Global Events: Distribution by Seniority Level of Event Speakers
  • Figure 10.18 Global Events: Distribution by Affiliated Department of Event Speakers
  • Figure 11.1 Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA: SWOT Analysis
  • Figure 11.2 SWOT Factors: Harvey Ball Analysis
  • Figure 12.1 Porters Five Forces: Key Parameters
  • Figure 12.2 Porters Five Forces: Harvey Ball Analysis
  • Figure 13.1 Global Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022-2035 (USD Million)
  • Figure 13.2 Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022 and 2035: Distribution by Type of Monitoring Method
  • Figure 13.3 Automatic Sampling Market for On-line Monitoring, 2022-2035 (USD Million)
  • Figure 13.4 Automatic Sampling Market for Off-line Monitoring, 2022-2035 (USD Million)
  • Figure 13.5 Automatic Sampling Market for At-line Monitoring, 2022-2035 (USD Million)
  • Figure 13.6 Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022 and 2035: Distribution by Type of Bioprocessing Method
  • Figure 13.7 Automatic Sampling Market for Upstream Bioprocessing, 2022-2035 (USD Million)
  • Figure 13.8 Automatic Sampling Market for Downstream Bioprocessing, 2022-2035 (USD Million)
  • Figure 13.9 Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022 and 2035: Distribution by Working Volume
  • Figure 13.10 Automatic Sampling Market for Systems with less than 10 mL Working Volume, 2022-2035 (USD Million)
  • Figure 13.11 Automatic Sampling Market for Systems with 10-50 mL Working Volume, 2022-2035 (USD Million)
  • Figure 13.12 Automatic Sampling Market for Systems with 51-100 mL Working Volume, 2022-2035 (USD Million)
  • Figure 13.13 Automatic Sampling Market for Systems with more than 100 mL Working Volume, 2022-2035 (USD Million)
  • Figure 13.14 Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022 and 2035: Distribution by Scalability
  • Figure 13.15 Automatic Sampling Market for Lab Scale Operations, 2022-2035 (USD Million)
  • Figure 13.16 Automatic Sampling Market for Pilot Scale Operations, 2022-2035 (USD Million)
  • Figure 13.17 Automatic Sampling Market for Commercial Scale Operations, 2022-2035 (USD Million)
  • Figure 13.18 Automatic Sampling in Biopharmaceutical Applications and the Measurement of CQA Market, 2022 and 2035: Distribution by Key Geographical Regions
  • Figure 13.19 Automatic Sampling Market in North America, 2022-2035 (USD Million)
  • Figure 13.20 Automatic Sampling Market in Europe, 2022-2035 (USD Million)
  • Figure 13.21 Automatic Sampling Market in Asia-Pacific and Rest of the World, 2022-2035 (USD Million)
  • Figure 14.1 Transition from Industry 1.0 to Industry 5.0
  • Figure 14.2 Horizons of Lab Evolution
  • Figure 14.3 Benefits of Industry 4.0
  • Figure 14.4 Benefits of Industry 5.0
  • Figure 15.1 Concluding Remarks: Automatic Sampling Systems Market Landscape
  • Figure 15.2 Concluding Remarks: Automatic Sample Collection / Preparation Systems Market Landscape
  • Figure 15.3 Concluding Remarks: Patent Analysis
  • Figure 15.4 Concluding Remarks: Partnerships and Collaborations
  • Figure 15.5 Concluding Remarks: Global Events
  • Figure 15.6 Concluding Remarks: Porter's Five Forces Analysis
  • Figure 15.7 Concluding Remarks: Market Forecast and Opportunity Analysis