封面
市場調查報告書
商品編碼
1600646

計算生物學市場:按服務、應用和最終用途分類 - 全球預測 2025-2030

Computational Biology Market by Services (Contract, In-house), Application (Cellular Biological Simulation, Clinical Trials, Drug Discovery & Disease Modelling), End-Use - Global Forecast 2025-2030

出版日期: | 出版商: 360iResearch | 英文 185 Pages | 商品交期: 最快1-2個工作天內

價格

本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

2023年計算生物學市場規模為62.5億美元,預計2024年將達到74.2億美元,複合年成長率為18.91%,到2030年將達到210.1億美元。

計算生物學是一個跨學科領域,匯集了生物學、電腦科學、物理學和數學的力量來模擬和建模生物系統。它有助於管理和分析各種生物學研究(包括基因組學、蛋白質組學和系統生物學)產生的大量資料。對計算生物學的需求源於其加速藥物發現、個人化醫療和提高對複雜生物過程的理解的能力。計算生物學的應用涵蓋藥物發現、疾病建模和農業生物技術,影響製藥、醫療保健和農業等最終用途領域。計算生物學市場在很大程度上受到技術進步、研發投資的增加以及預測建模工具的日益採用的推動。然而,由於健康問題和個人化治療需求的增加,潛在的成長機會在於生物資訊學在臨床診斷和癌症基因組學領域的擴展。公司應專注於開發整合運算平台並增強機器學習演算法,以提高發現和預測能力。儘管前景樂觀,但市場面臨著工具和軟體成本高、生物系統複雜性以及對資料安全性的擔憂等挑戰,這些可能會降低採用率。克服這些障礙需要加強跨部門協作、改進資料整合方法以及對具有成本效益的解決方案的投資。潛在的創新領域包括合成生物學、CRISPR 技術的進步以及基因組編輯和蛋白質結構預測的人工智慧應用。在這些創新領域處於領先地位可以為業務成長帶來巨大好處。市場競爭激烈,發展迅速,企業不斷追求突破,以提高生物研究的精確度和效率。能夠應對這些挑戰並有效利用創新的公司將處於有利地位,能夠佔領重要的市場佔有率。

主要市場統計
基準年[2023] 62.5億美元
預測年份 [2024] 74.2億美元
預測年份 [2030] 210.1億美元
複合年成長率(%) 18.91%

市場動態:揭示快速發展的計算生物學市場的關鍵市場洞察

供需的動態交互作用正在改變計算生物學市場。了解這些不斷變化的市場動態可以幫助企業做出明智的投資決策、策略決策並抓住新的商機。全面了解這些趨勢可以幫助企業降低政治、地理、技術、社會和經濟領域的風險,同時消費行為及其對製造成本的影響以及對採購趨勢的影響。

  • 市場促進因素
    • 對個人化醫療的需求不斷成長
    • 擴大生物資訊學研究並增加臨床研究
    • 在癌症治療中應用計算生物學
  • 市場限制因素
    • 缺乏熟練的專業人員來操作計算工具
  • 市場機會
    • 加速生物資訊學和多尺度生物建模在細胞建模的應用
    • 增加對生物資訊學的資助和計算生物學領域的進步
  • 市場挑戰
    • 缺乏互通性和多平台功能以及缺乏明確的標準

波特五力:駕馭運算生物學市場的策略工具

波特的五力框架是了解計算生物學市場競爭格局的重要工具。波特的五力框架為評估公司的競爭地位和探索策略機會提供了清晰的方法。該框架可幫助公司評估市場動態並確定新業務的盈利。這些見解使公司能夠利用自己的優勢,解決弱點並避免潛在的挑戰,從而確保更強大的市場地位。

PESTLE分析:了解計算生物學市場的外部影響

外部宏觀環境因素在塑造計算生物學市場的績效動態方面發揮著至關重要的作用。對政治、經濟、社會、技術、法律和環境因素的分析提供了應對這些影響所需的資訊。透過調查 PESTLE 因素,公司可以更了解潛在的風險和機會。這種分析可以幫助公司預測法規、消費者偏好和經濟趨勢的變化,並為他們做出積極主動的決策做好準備。

市場佔有率分析 了解計算生物學市場的競爭格局

計算生物學市場的詳細市場佔有率分析可以對供應商績效進行全面評估。公司可以透過比較收益、客戶群和成長率等關鍵指標來揭示其競爭地位。該分析揭示了市場集中、分散和整合的趨勢,為供應商提供了製定策略決策所需的洞察力,以應對日益激烈的競爭。

FPNV 定位矩陣計算生物學市場供應商的績效評估

FPNV 定位矩陣是評估計算生物學市場供應商的重要工具。此矩陣允許業務組織根據商務策略和產品滿意度評估供應商,從而做出與其目標相符的明智決策。四個象限清楚且準確地分類供應商,幫助使用者辨識最能滿足其策略目標的合作夥伴和解決方案。

本報告提供了涵蓋關鍵重點領域的全面市場分析:

1. 市場滲透率:對當前市場環境的詳細回顧,包括行業主要企業的大量資料。

2. 市場開拓:辨識新興市場的成長機會,評估現有領域的擴張潛力,並提供未來成長的策略藍圖。

3. 市場多元化:分析近期產品發布、開拓地區、關鍵產業進展、塑造市場的策略投資。

4. 競爭評估與情報:徹底分析競爭格局,檢驗市場佔有率、業務策略、產品系列、認證、監管核准、專利趨勢、主要企業的技術進步等。

5. 產品開發與創新:重點在於有望推動未來市場成長的最尖端科技、研發活動和產品創新。

我們也回答重要問題,幫助相關人員做出明智的決策:

1.目前的市場規模和未來的成長預測是多少?

2. 哪些產品、區隔市場和地區提供最佳投資機會?

3.塑造市場的主要技術趨勢和監管影響是什麼?

4.主要廠商的市場佔有率和競爭地位如何?

5. 推動供應商市場進入和退出策略的收益來源和策略機會是什麼?

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章市場概況

第5章市場洞察

  • 市場動態
    • 促進因素
      • 對個人化醫療的需求不斷成長
      • 生物資訊學研究的進展和臨床研究的增加
      • 在腫瘤治療中採用計算生物學
    • 抑制因素
      • 缺乏熟練的專業人員來操作計算工具
    • 機會
      • 加速生物資訊學和多尺度生物建模在細胞建模的應用
      • 增加對生物資訊學的資助和計算生物學領域的進步
    • 任務
      • 缺乏互通性和多平台功能以及缺乏明確定義的標準
  • 市場區隔分析
    • 服務:受益於敏感資料和專有研究的內部計算生物學能力
    • 應用:計算生物學在簡化藥物開發平臺的重要應用
    • 最終用途:商業組織擴大採用計算生物學來應對應用研究挑戰
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社群
    • 技術的
    • 合法地
    • 環境
  • 客戶客製化

第6章計算生物學市場:依服務分類

  • 合約
  • 公司內部

第7章計算生物學市場:依應用分類

  • 細胞生物模擬
  • 臨床試驗
  • 藥物發現與疾病建模
  • 人體模擬軟體
  • 臨床前藥物開發

第8章計算生物學市場:依最終用途

  • 學術的
  • 商業的

第9章美洲計算生物學市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第10章亞太地區計算生物學市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第11章歐洲、中東和非洲的計算生物市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第12章競爭格局

  • 2023 年市場佔有率分析
  • FPNV 定位矩陣,2023
  • 競爭情境分析
    • 為年輕的加拿大研究人員提供新的資金,以在生物資訊學、計算生物學和健康資料科學領域建立職業生涯
    • Pluto 宣布獲得由 Silverton Partners主導的 370 萬美元種子輪融資
    • Accenture投資 Ocean Genomics 加速人工智慧藥物發現和個人化醫療開發

公司名單

  • Thermo Fisher Scientific Inc.
  • SOPHiA GENETICS
  • Eurofins Scientific SE
  • Chemical Computing Group Inc.
  • Nimbus Discovery Llc
  • Simulation Plus Inc.
  • Instem Group
  • Ocean Genomics
  • DNASTAR, Inc.
  • Waters Corporation
  • DNAnexus, Inc.
  • Rosa & Co. Llc
  • BGI Group
  • Dassault Systemes SE
  • Biomax Informatics AG
  • PerkinElmer, Inc.
  • ProFound Therapeutics
  • Insilico Medicine
  • WuXi NextCODE
  • Genedata AG
  • Schrodinger, Inc.
  • QIAGEN NV
  • Agilent Technologies, Inc.
  • Pluto Bioinformatics
  • Illumina, Inc.
  • Compugen Ltd.
Product Code: MRR-433AB1DC289D

The Computational Biology Market was valued at USD 6.25 billion in 2023, expected to reach USD 7.42 billion in 2024, and is projected to grow at a CAGR of 18.91%, to USD 21.01 billion by 2030.

Computational Biology is a multidisciplinary field that combines the power of biology, computer science, physics, and mathematics to simulate and model biological systems. Its scope includes genomics, proteomics, and systems biology, facilitating the management and analysis of the vast data generated through various biological research. The necessity of computational biology arises from its ability to accelerate drug discovery, personalize medicine, and enhance our understanding of complex biological processes. Its applications span across drug design, disease modeling, and agricultural biotechnology, influencing end-use sectors such as pharmaceuticals, healthcare, and agriculture. The market for computational biology is significantly driven by technological advancements, increasing investments in R&D, and a rise in the adoption of predictive modeling tools. However, potential growth opportunities lie in the expansion of bioinformatics in clinical diagnostics and cancer genomics due to increasing health concerns and the demand for personalized treatments. Companies should focus on developing integrated computational platforms and enhancing machine learning algorithms to boost discovery and predictive capabilities. Despite promising prospects, the market faces challenges such as high costs of tools and software, the complexity of biological systems, and data security concerns, which could slow down adoption rates. Overcoming these hurdles involves increasing cross-disciplinary collaborations, improving data integration methods, and investing in cost-effective solutions. Potential areas of innovation include advancements in synthetic biology, CRISPR technology, and artificial intelligence applications for genome editing and protein structure prediction. For business growth, staying ahead in these innovation fields could provide significant advantages. The nature of the computational biology market is competitive yet rapidly evolving, with players continually seeking breakthroughs to enhance precision and efficiency in biological research. Companies that address these challenges and leverage their innovations effectively are well-placed to capture significant market share.

KEY MARKET STATISTICS
Base Year [2023] USD 6.25 billion
Estimated Year [2024] USD 7.42 billion
Forecast Year [2030] USD 21.01 billion
CAGR (%) 18.91%

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Computational Biology Market

The Computational Biology Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

  • Market Drivers
    • Rising Need for Personalized Medicine
    • Growing Bioinformatics Research and Increasing Number of Clinical Studies
    • Adoption of Computational Biology in Oncology Therapeutics
  • Market Restraints
    • Dearth of Skilled Professionals to Operate Computational Tools
  • Market Opportunities
    • Accelerating Use of Bioinformatics and Multiscale Biological Modeling in Cell Modeling
    • Increased Funding in Bioinformatics Coupled with Advancements in the Field of Computational Biology
  • Market Challenges
    • Insufficiency of Interoperability and Multiplatform Capabilities and Lack of Well-Defined Standards

Porter's Five Forces: A Strategic Tool for Navigating the Computational Biology Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Computational Biology Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Computational Biology Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Computational Biology Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Computational Biology Market

A detailed market share analysis in the Computational Biology Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Computational Biology Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Computational Biology Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Key Company Profiles

The report delves into recent significant developments in the Computational Biology Market, highlighting leading vendors and their innovative profiles. These include Thermo Fisher Scientific Inc., SOPHiA GENETICS, Eurofins Scientific SE, Chemical Computing Group Inc., Nimbus Discovery Llc, Simulation Plus Inc., Instem Group, Ocean Genomics, DNASTAR, Inc., Waters Corporation, DNAnexus, Inc., Rosa & Co. Llc, BGI Group, Dassault Systemes SE, Biomax Informatics AG, PerkinElmer, Inc., ProFound Therapeutics, Insilico Medicine, WuXi NextCODE, Genedata AG, Schrodinger, Inc., QIAGEN N.V., Agilent Technologies, Inc., Pluto Bioinformatics, Illumina, Inc., and Compugen Ltd..

Market Segmentation & Coverage

This research report categorizes the Computational Biology Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Services, market is studied across Contract and In-house.
  • Based on Application, market is studied across Cellular Biological Simulation, Clinical Trials, Drug Discovery & Disease Modelling, Human Body Simulation Software, and Preclinical Drug Development.
  • Based on End-Use, market is studied across Academics and Commercial.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Rising Need for Personalized Medicine
      • 5.1.1.2. Growing Bioinformatics Research and Increasing Number of Clinical Studies
      • 5.1.1.3. Adoption of Computational Biology in Oncology Therapeutics
    • 5.1.2. Restraints
      • 5.1.2.1. Dearth of Skilled Professionals to Operate Computational Tools
    • 5.1.3. Opportunities
      • 5.1.3.1. Accelerating Use of Bioinformatics and Multiscale Biological Modeling in Cell Modeling
      • 5.1.3.2. Increased Funding in Bioinformatics Coupled with Advancements in the Field of Computational Biology
    • 5.1.4. Challenges
      • 5.1.4.1. Insufficiency of Interoperability and Multiplatform Capabilities and Lack of Well-Defined Standards
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Services: Benefits of in-house computational biology capabilities to handle sensitive data or proprietary research
    • 5.2.2. Application: Significant applications of computational biology to streamline the drug development pipeline
    • 5.2.3. End-Use: Growing adoption of computational biology in commercial entities to tackle applied research challenges
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental
  • 5.5. Client Customization

6. Computational Biology Market, by Services

  • 6.1. Introduction
  • 6.2. Contract
  • 6.3. In-house

7. Computational Biology Market, by Application

  • 7.1. Introduction
  • 7.2. Cellular Biological Simulation
  • 7.3. Clinical Trials
  • 7.4. Drug Discovery & Disease Modelling
  • 7.5. Human Body Simulation Software
  • 7.6. Preclinical Drug Development

8. Computational Biology Market, by End-Use

  • 8.1. Introduction
  • 8.2. Academics
  • 8.3. Commercial

9. Americas Computational Biology Market

  • 9.1. Introduction
  • 9.2. Argentina
  • 9.3. Brazil
  • 9.4. Canada
  • 9.5. Mexico
  • 9.6. United States

10. Asia-Pacific Computational Biology Market

  • 10.1. Introduction
  • 10.2. Australia
  • 10.3. China
  • 10.4. India
  • 10.5. Indonesia
  • 10.6. Japan
  • 10.7. Malaysia
  • 10.8. Philippines
  • 10.9. Singapore
  • 10.10. South Korea
  • 10.11. Taiwan
  • 10.12. Thailand
  • 10.13. Vietnam

11. Europe, Middle East & Africa Computational Biology Market

  • 11.1. Introduction
  • 11.2. Denmark
  • 11.3. Egypt
  • 11.4. Finland
  • 11.5. France
  • 11.6. Germany
  • 11.7. Israel
  • 11.8. Italy
  • 11.9. Netherlands
  • 11.10. Nigeria
  • 11.11. Norway
  • 11.12. Poland
  • 11.13. Qatar
  • 11.14. Russia
  • 11.15. Saudi Arabia
  • 11.16. South Africa
  • 11.17. Spain
  • 11.18. Sweden
  • 11.19. Switzerland
  • 11.20. Turkey
  • 11.21. United Arab Emirates
  • 11.22. United Kingdom

12. Competitive Landscape

  • 12.1. Market Share Analysis, 2023
  • 12.2. FPNV Positioning Matrix, 2023
  • 12.3. Competitive Scenario Analysis
    • 12.3.1. New Funds Available for Early Career Canadian Researchers Building Careers in Bioinformatics, Computational Biology, or Health Data Sciences
    • 12.3.2. Pluto Announces USD 3.7M Seed Round, Led by Silverton Partners
    • 12.3.3. Accenture Invests in Ocean Genomics to Accelerate AI-driven Drug Discovery and the Development of Personalized Medicines

Companies Mentioned

  • 1. Thermo Fisher Scientific Inc.
  • 2. SOPHiA GENETICS
  • 3. Eurofins Scientific SE
  • 4. Chemical Computing Group Inc.
  • 5. Nimbus Discovery Llc
  • 6. Simulation Plus Inc.
  • 7. Instem Group
  • 8. Ocean Genomics
  • 9. DNASTAR, Inc.
  • 10. Waters Corporation
  • 11. DNAnexus, Inc.
  • 12. Rosa & Co. Llc
  • 13. BGI Group
  • 14. Dassault Systemes SE
  • 15. Biomax Informatics AG
  • 16. PerkinElmer, Inc.
  • 17. ProFound Therapeutics
  • 18. Insilico Medicine
  • 19. WuXi NextCODE
  • 20. Genedata AG
  • 21. Schrodinger, Inc.
  • 22. QIAGEN N.V.
  • 23. Agilent Technologies, Inc.
  • 24. Pluto Bioinformatics
  • 25. Illumina, Inc.
  • 26. Compugen Ltd.

LIST OF FIGURES

  • FIGURE 1. COMPUTATIONAL BIOLOGY MARKET RESEARCH PROCESS
  • FIGURE 2. COMPUTATIONAL BIOLOGY MARKET SIZE, 2023 VS 2030
  • FIGURE 3. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 6. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2023 VS 2030 (%)
  • FIGURE 7. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2023 VS 2030 (%)
  • FIGURE 11. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. AMERICAS COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 13. AMERICAS COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. UNITED STATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 15. UNITED STATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. ASIA-PACIFIC COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 17. ASIA-PACIFIC COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. EUROPE, MIDDLE EAST & AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 19. EUROPE, MIDDLE EAST & AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 20. COMPUTATIONAL BIOLOGY MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 21. COMPUTATIONAL BIOLOGY MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. COMPUTATIONAL BIOLOGY MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. COMPUTATIONAL BIOLOGY MARKET DYNAMICS
  • TABLE 7. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY CONTRACT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY IN-HOUSE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY CELLULAR BIOLOGICAL SIMULATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY CLINICAL TRIALS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY DRUG DISCOVERY & DISEASE MODELLING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY HUMAN BODY SIMULATION SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY PRECLINICAL DRUG DEVELOPMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY ACADEMICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY COMMERCIAL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. AMERICAS COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 20. AMERICAS COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 21. AMERICAS COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 22. AMERICAS COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 23. ARGENTINA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 24. ARGENTINA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 25. ARGENTINA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 26. BRAZIL COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 27. BRAZIL COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 28. BRAZIL COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 29. CANADA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 30. CANADA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 31. CANADA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 32. MEXICO COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 33. MEXICO COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 34. MEXICO COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 35. UNITED STATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 36. UNITED STATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 37. UNITED STATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 38. UNITED STATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 39. ASIA-PACIFIC COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 40. ASIA-PACIFIC COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 41. ASIA-PACIFIC COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 42. ASIA-PACIFIC COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 43. AUSTRALIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 44. AUSTRALIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 45. AUSTRALIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 46. CHINA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 47. CHINA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 48. CHINA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 49. INDIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 50. INDIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 51. INDIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 52. INDONESIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 53. INDONESIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 54. INDONESIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 55. JAPAN COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 56. JAPAN COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 57. JAPAN COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 58. MALAYSIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 59. MALAYSIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 60. MALAYSIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 61. PHILIPPINES COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 62. PHILIPPINES COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 63. PHILIPPINES COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 64. SINGAPORE COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 65. SINGAPORE COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 66. SINGAPORE COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 67. SOUTH KOREA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 68. SOUTH KOREA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 69. SOUTH KOREA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 70. TAIWAN COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 71. TAIWAN COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 72. TAIWAN COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 73. THAILAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 74. THAILAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 75. THAILAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 76. VIETNAM COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 77. VIETNAM COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 78. VIETNAM COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 79. EUROPE, MIDDLE EAST & AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 80. EUROPE, MIDDLE EAST & AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 81. EUROPE, MIDDLE EAST & AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 82. EUROPE, MIDDLE EAST & AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 83. DENMARK COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 84. DENMARK COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 85. DENMARK COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 86. EGYPT COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 87. EGYPT COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 88. EGYPT COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 89. FINLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 90. FINLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 91. FINLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 92. FRANCE COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 93. FRANCE COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 94. FRANCE COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 95. GERMANY COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 96. GERMANY COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 97. GERMANY COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 98. ISRAEL COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 99. ISRAEL COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 100. ISRAEL COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 101. ITALY COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 102. ITALY COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 103. ITALY COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 104. NETHERLANDS COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 105. NETHERLANDS COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 106. NETHERLANDS COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 107. NIGERIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 108. NIGERIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 109. NIGERIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 110. NORWAY COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 111. NORWAY COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 112. NORWAY COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 113. POLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 114. POLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 115. POLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 116. QATAR COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 117. QATAR COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 118. QATAR COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 119. RUSSIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 120. RUSSIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 121. RUSSIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 122. SAUDI ARABIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 123. SAUDI ARABIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 124. SAUDI ARABIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 125. SOUTH AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 126. SOUTH AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 127. SOUTH AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 128. SPAIN COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 129. SPAIN COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 130. SPAIN COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 131. SWEDEN COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 132. SWEDEN COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 133. SWEDEN COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 134. SWITZERLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 135. SWITZERLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 136. SWITZERLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 137. TURKEY COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 138. TURKEY COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 139. TURKEY COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 140. UNITED ARAB EMIRATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 141. UNITED ARAB EMIRATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 142. UNITED ARAB EMIRATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 143. UNITED KINGDOM COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 144. UNITED KINGDOM COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 145. UNITED KINGDOM COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 146. COMPUTATIONAL BIOLOGY MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 147. COMPUTATIONAL BIOLOGY MARKET, FPNV POSITIONING MATRIX, 2023