시장보고서
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1576500

세계의 디지털 바이오 제조 시장 규모, 점유율, 예측 및 동향 분석 : 제공 내용별(소프트웨어 및 하드웨어), 기능별(제품 설계 및 분석, 자동화), 용도별(MAB, 단백질, 백신), 바이오프로세스별 - 예측(-2031년)

Digital Biomanufacturing Market Size, Share, Forecast, & Trends Analysis by Offering (Software Hardware), Functionality (Product Design, Analytics, Automation), Application (MAB, Protein, Vaccine), and Bioprocess - Global Forecast to 2031

발행일: | 리서치사: Meticulous Research | 페이지 정보: 영문 226 Pages | 배송안내 : 즉시배송

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

디지털 바이오 제조 시장은 2024-2031년간 연평균 복합 성장률(CAGR) 13.3%로 성장하여 2031년까지 508억 9,000만 달러에 달할 것으로 예상됩니다.

본 보고서는 광범위한 2차 및 1차 조사, 시장 시나리오에 대한 심층 분석을 통해 주요 산업 촉진요인, 억제요인, 과제 및 기회 분석으로 구성되어 있습니다. 디지털 바이오 제조 시장의 성장은 바이오 의약품에 대한 수요 증가, 주요 기업의 바이오 의약품 공장 역량 강화, 공정 최적화에 대한 수요 증가, 품질 표준 및 규제 준수에 대한 관심 증가, 바이오 의약품의 강력한 R&D 파이프라인, 연속적인 바이오프로세스에 대한 관심 증가가 원동력이 되고 있습니다. 그러나 높은 기술 도입 비용과 복잡한 바이오의약품 개발 및 제조 공정이 이 시장의 성장을 저해하는 요인으로 작용하고 있습니다.

또한, 인더스트리 4.0 기술의 도입, 고급 데이터 분석 도구의 가용성, 바이오프로세스 4.0으로의 전환은 시장 성장의 기회를 창출할 것으로 예상됩니다. 그러나 다운스트림 공정 분석 기술(PAT) 도입의 복잡성과 바이오 의약품 제조에 필요한 집중적인 자본 요구 사항은 디지털 바이오 제조 시장의 주요 과제입니다.

목차

제1장 서론

제2장 조사 방법

제3장 주요 요약

제4장 시장 인사이트

  • 개요
  • 성장 촉진요인
  • 성장 억제요인
  • 기회
  • 과제
  • 요인 분석
  • 동향
  • 규제 분석
  • 가격 분석
  • Porter의 Five Forces 분석

제5장 디지털 바이오제조 시장 평가 : 제공 내용별

  • 개요
  • 소프트웨어
    • 유형별
      • 프로세스 분석 기술
      • 데이터 분석 소프트웨어
      • 제조 실행 시스템
      • 디지털 트윈
    • 전개 방식별
      • 클라우드 기반
      • 온프레미스
  • 하드웨어

제6장 디지털 바이오제조 시장 평가 : 기능별

  • 개요
  • 제품 설계
  • 프로세스 최적화 및 분석
  • 자동화 및 제어
  • 기타 기능

제7장 디지털 바이오제조 시장 평가 : 바이오프로세스별

  • 개요
  • Upstream 공정 바이오프로세스
  • Downstream 공정 바이오프로세스

제8장 디지털 바이오제조 시장 평가 : 용도별

  • 개요
  • 단클론항체(MAB)
  • 재조합 호르몬/단백질
  • 백신
  • 세포 기반 생물제제
  • 유전자 기반 생물제제

제9장 디지털 바이오제조 시장 평가 : 최종사용자별

  • 개요
  • 바이오의약품 기업
  • 학술기관 및 연구기관
  • CDMO 및 CRO

제10장 디지털 바이오제조 시장 평가 : 지역별

  • 개요
  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 독일
    • 프랑스
    • 영국
    • 이탈리아
    • 스페인
    • 스위스
    • 덴마크
    • 아일랜드
    • 벨기에
    • 기타 유럽(RoE)
  • 아시아태평양
    • 일본
    • 중국
    • 인도
    • 한국
    • 호주
    • 기타 아시아태평양(RoAPAC)
  • 라틴아메리카
    • 브라질
    • 멕시코
    • 기타 라틴아메리카(RoLATAM)
  • 중동 및 아프리카

제11장 경쟁 분석

  • 개요
  • 주요 성장 전략
  • 경쟁 벤치마킹
  • 경쟁 대시보드
    • 업계 리더
    • 시장 차별화 요인
    • 선행 기업
    • 신규 기업
  • 시장 점유율 분석/시장 순위, 주요 기업별(2023년)

제12장 기업 개요(기업 개요, 재무 개요, 제품 포트폴리오, 전략 전개 상황, SWOT 분석)

  • GE Healthcare Technologies, Inc.
  • Siemens Xcelerator(subsidiary of Siemens)
  • Cytiva(subsidiary of Danaher Corporation)
  • ABB Ltd.(Sweden)
  • Sanofi S.A.
  • Emerson Electric Co.
  • Honeywell International, Inc.
  • SAP SE
  • OVO Biomanufacturing Ltd.
  • Schneider Electric SE
  • Dassault Systemes
  • Oracle Corporation
  • 3M

(주 : 주요 5개사의 SWOT 분석을 게재)

제13장 부록

LSH 24.11.12

Digital Biomanufacturing Market Size, Share, Forecast, & Trends Analysis by Offering (Software [PAT, MES, Digital Twin] Hardware) Functionality (Product Design, Analytics, Automation) Application (MAB, Protein, Vaccine) Bioprocess-Global Forecast to 2031

The digital biomanufacturing market is projected to reach $50.89 billion by 2031, at a CAGR of 13.3% from 2024 to 2031.

Succeeding extensive secondary and primary research and in-depth analysis of the market scenario, the report comprises the analysis of key industry drivers, restraints, challenges, and opportunities. The growth of the digital biomanufacturing market is driven by growing demand for biologics, capacity expansions of biopharmaceutical plants by key players, increased need for process optimization, increased focus on quality standards & regulatory compliance, strong R&D pipeline for biopharmaceuticals, and rising focus on continuous bioprocessing. However, the high cost of technology deployment and the complex development and manufacturing process of biopharmaceuticals are restraining the growth of this market.

Furthermore, the introduction of industry 4.0 technologies, availability of advanced data analysis tools, and shift towards bioprocessing 4.0 are expected to generate market growth opportunities. However, complexities in process analytical technology (PAT) implementation for downstream processes and intensive capital requirements for biopharmaceutical production are major challenges in the digital biomanufacturing market.

The report offers a competitive landscape based on an extensive assessment of the product portfolio offerings, geographic presences, and key strategic developments adopted by leading market players in the industry in the past three to four years. The key players operating in the digital biomanufacturing market are GE Healthcare Technologies Inc. (U.S.), Siemens Xcelerator (Subsidiary of Siemens) (Germany), Cytiva (a subsidiary of Danaher Corporation) (U.S.), ABB Ltd. (Switzerland), Sanofi S.A. (France), Emerson Electric co. (U.S.), Honeywell International Inc. (U.S.), SAP SE (Germany), OVO Biomanufacturing. (U.S.), Schneider Electric SE (France), Dassault Systems (France), Oracle Corporation (U.S.), and 3M (U.S.).

Among all the offerings studied in this report, the software segment is expected to account for the largest share of 74.4% of the digital biomanufacturing market. The rising demand for process optimization coupled with the advantages of software in designing, planning, and manufacturing of drugs or biologics support the large share of this segment.

Among all the functionalities studied in this report, in 2024, the process optimization & analytics segment is expected to account for the largest share of the digital biomanufacturing market. Process optimization and analytics help in improving the manufacturing process by streamlining operating procedures. This involves real-time monitoring and analysis of the activities, which helps the organization in finding bugs in the process or deciding the area of improvement. Moreover, this helps in increasing the efficiency of manufacturing equipment and makes the biomanufacturing process efficient.

Among all the bioprocesses studied in this report, in 2024, the downstream bioprocess segment is expected to account for the largest share of the digital biomanufacturing market. Downstream bioprocesses are considered a complex process in nature that requires continuous monitoring. Digital biomanufacturing software helps in improving and maintaining the workflow of these bioprocesses. This also improves the quality of products. Moreover, the use of predictive technology in the software helps reduce the future complexities associated with downstream bioprocesses, which results in reducing extra costs or future loss. Such factors are driving the growth of the market.

Among all the applications studied in this report, in 2024, the monoclonal antibodies segment is expected to account for the largest share of 48.6% of the digital biomanufacturing market. The availability of funding for monoclonal antibody research and development, approvals for monoclonal antibodies, and increasing production capacity of monoclonal antibody manufacturing plants are contributing to the largest share of the segment.

Among all the end users studied in this report, in 2024, the biopharmaceutical companies segment is expected to account for the largest share of the digital biomanufacturing market. Initiatives focused on improving the adoption of biopharmaceuticals, patent expiration of biologics, and increasing awareness of biopharmaceuticals among physicians are supporting the largest share of the market.

An in-depth analysis of the geographical scenario of the digital biomanufacturing printing market provides detailed qualitative and quantitative insights into the five major geographies (North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa) along with the coverage of major countries in each region. Among all the geographies studied in this report, in 2024, North America is expected to account for the largest share of the digital biomanufacturing market. The largest share is attributed to the developed healthcare industry & infrastructure, the presence of major key players, and supportive initiatives focused on improving the adoption of biopharmaceuticals.

Scope of the Report:

Digital Biomanufacturing Market Assessment-by Offering

  • Software
    • by Type
  • Process Analytical Technologies
  • Data Analysis Software
  • Manufacturing Execution Systems
  • Digital Twin
    • by Deployment
  • Cloud-based
  • On-premise
  • Hardware

Digital Biomanufacturing Market Assessment-by Functionality

  • Product Design
  • Process Optimization & Analytics
  • Automation & Control
  • Other Functionalities

Note: Other functionalities include Quality management, predictive maintenance, and data storage.

Digital Biomanufacturing Market Assessment-by Bioprocess

  • Upstream Bioprocess
  • Downstream Bioprocess

Digital Biomanufacturing Market Assessment-by Application

  • Monoclonal Antibodies
  • Recombinant Hormones/Proteins
  • Vaccines
  • Cellular-based Biologics
  • Gene-based Biologics

Digital Biomanufacturing Market Assessment-by End User

  • Biopharmaceutical Companies
  • Academic and Research Institutes
  • CDMO &CROs

Digital Biomanufacturing Market Assessment -by Geography

  • North America
  • U.S.
  • Canada
  • Europe
  • Germany
  • France
  • U.K
  • Italy
  • Spain
  • Switzerland
  • Denmark
  • Ireland
  • Belgium
  • Rest of Europe (RoE)
  • Asia-Pacific (APAC)
  • China
  • Japan
  • India
  • Australia
  • South Korea
  • Rest of Asia-Pacific (RoAPAC)
  • Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
  • Middle East & Africa

TABLE OF CONTENTS

1. Introduction

  • 1.1. Market Definition & Scope
  • 1.2. Market Ecosystem
  • 1.3. Currency and Limitations
  • 1.4. Key Stakeholders

2. Research Methodology

  • 2.1. Research Approach
  • 2.2. Process of Data Collection & Validation
    • 2.2.1. Secondary Research
    • 2.2.2. Primary Research/Interviews with Key Opinion Leaders from the Industry
  • 2.3. Market Sizing and Forecasting
    • 2.3.1. Market Size Estimation Approach
    • 2.3.2. Growth Forecast Approach
    • 2.3.3. Market Share Analysis
  • 2.4. Assumptions for the Study

3. Executive Summary

4. Market Insights

  • 4.1. Overview
  • 4.2. Drivers
    • 4.2.1. Growing Demand for Biologics
    • 4.2.2. Capacity Expansions of Biopharmaceutical Plants by Key Players
    • 4.2.3. Increased Need for Process Optimization
    • 4.2.4. Increased Focus On Quality Standards & Regulatory Compliance
    • 4.2.5. Strong R&D Pipeline for Biopharmaceuticals
    • 4.2.6. Rising Focus on Continuous Bioprocessing
  • 4.3. Restraints
    • 4.3.1. High Cost of Technology Deployment
    • 4.3.2. Complex Development and Manufacturing Process of Biopharmaceuticals
  • 4.4. Opportunities
    • 4.4.1. Introduction of Industry 4.0
    • 4.4.2. Availability of Advanced Data Analysis Tools
    • 4.4.3. Shift Towards Bioprocessing 4.0
  • 4.5. Challenges
    • 4.5.1. Complexities in Process Analytical Technology (PAT) Implementation for Downstream Processes.
    • 4.5.2. Intensive Capital Requirements for Biopharmaceuticals Production
  • 4.6. Factor Analysis
  • 4.7. Trends
    • 4.7.1. Digital Twin Technology
    • 4.7.2. Integration of Artificial Intelligence (AI) & Machine Learning (ML)
  • 4.8. Regulatory Analysis
  • 4.9. Pricing Analysis
  • 4.10. Porter's Five Force Analysis

5. Digital Biomanufacturing Market Assessment-by Offering

  • 5.1. Overview
  • 5.2. Software
    • 5.2.1. By Type
      • 5.2.1.1. Process Analytical Technology
      • 5.2.1.2. Data Analysis Software
      • 5.2.1.3. Manufacturing Execution System
      • 5.2.1.4. Digital Twin
    • 5.2.2. By Deployment
      • 5.2.2.1. Cloud-based
      • 5.2.2.2. On-Premises
  • 5.3. Hardware

6. Digital Biomanufacturing Market Assessment-by Functionality

  • 6.1. Overview
  • 6.2. Product Design
  • 6.3. Process Optimization & Analytics
  • 6.4. Automation & Control
  • 6.5. Other Functionalities

7. Digital Biomanufacturing Market Assessment-by Bioprocess

  • 7.1. Overview
  • 7.2. Upstream Bioprocessing
  • 7.3. Downstream Bioprocessing

8. Digital Biomanufacturing Market Assessment-by Application

  • 8.1. Overview
  • 8.2. Monoclonal Antibodies
  • 8.3. Recombinant Hormones/Proteins
  • 8.4. Vaccines
  • 8.5. Cellular-based Biologics
  • 8.6. Gene-based Biologics

9. Digital Biomanufacturing Market Assessment-by End-user

  • 9.1. Overview
  • 9.2. Biopharmaceutical Companies
  • 9.3. Academic and Research Institutes
  • 9.4. CDMOs & CROs

10. Digital Biomanufacturing Market Assessment-by Geography

  • 10.1. Overview
  • 10.2. North America
    • 10.2.1. U.S.
    • 10.2.2. Canada
  • 10.3. Europe
    • 10.3.1. Germany
    • 10.3.2. France
    • 10.3.3. U.K.
    • 10.3.4. Italy
    • 10.3.5. Spain
    • 10.3.6. Switzerland
    • 10.3.7. Denmark
    • 10.3.8. Ireland
    • 10.3.9. Belgium
    • 10.3.10. Rest of Europe (RoE)
  • 10.4. Asia-Pacific
    • 10.4.1. Japan
    • 10.4.2. China
    • 10.4.3. India
    • 10.4.4. South Korea
    • 10.4.5. Australia
    • 10.4.6. Rest of Asia-Pacific (RoAPAC)
  • 10.5. Latin America
    • 10.5.1. Brazil
    • 10.5.2. Mexico
    • 10.5.3. Rest of Latin America (RoLATAM)
  • 10.6. Middle East & Africa

11. Competition Analysis

  • 11.1. Overview
  • 11.2. Key Growth Strategies
  • 11.3. Competitive Benchmarking
  • 11.4. Competitive Dashboard
    • 11.4.1. Industry Leaders
    • 11.4.2. Market Differentiators
    • 11.4.3. Vanguards
    • 11.4.4. Emerging Companies
  • 11.5. Market Share Analysis/Market Ranking, by Key Players (2023)

12. Company Profiles (Company Overview, Financial Overview, Product Portfolio, Strategic Developments, and SWOT Analysis)

  • 12.1. GE Healthcare Technologies, Inc.
  • 12.2. Siemens Xcelerator (subsidiary of Siemens)
  • 12.3. Cytiva (subsidiary of Danaher Corporation)
  • 12.4. ABB Ltd. (Sweden)
  • 12.5. Sanofi S.A.
  • 12.6. Emerson Electric Co.
  • 12.7. Honeywell International, Inc.
  • 12.8. SAP SE
  • 12.9. OVO Biomanufacturing Ltd.
  • 12.10. Schneider Electric SE
  • 12.11. Dassault Systemes
  • 12.12. Oracle Corporation
  • 12.13. 3M

(Note: SWOT analysis of the top 5 companies will be provided.)

13. Appendix

  • 13.1. Available Customization
  • 13.2. Related Reports
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