查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
全球计算生物学市场 2023-2030
市场调查报告书
商品编码
1380467

全球计算生物学市场 2023-2030

Global Computational Biology Market 2023-2030
出版日期: | 出版商: Orion Market Research | 英文 194 Pages | 商品交期: 2-3个工作天内

价格

预计全球计算生物学市场在预测期内将以 15.8% 的CAGR成长。计算生物学是利用资料分析、数学建模和计算模拟来理解生物系统和关係。这是一个跨学科领域，使用计算方法来分析大量生物资料，例如基因序列、细胞群或蛋白质样本。癌症、心臟病和糖尿病等慢性疾病是全球主要的健康问题。计算生物学被用于开发慢性病的新药和治疗方法，以及改善这些疾病的诊断和管理。这是市场成长的关键驱动力之一。计算生物学工具可用于分析基因组、转录组和蛋白质资料数据的大型数据集，以识别在慢性疾病的发生和进展中发挥作用的新基因和蛋白质。一旦确定了这些新的药物标靶，研究人员就可以开始开发针对这些分子的新药。计算生物学工具可用于设计更有效且副作用更少的新药。例如，计算生物学工具可用于模拟药物分子与其目标蛋白质之间的相互作用，以识别最有效的药物结构。计算生物学工具可用于在临床试验之前预测药物的毒性和功效。这有助于节省药物开发过程中的时间和金钱。计算生物学工具可用于开发新的诊断测试并为慢性病患者制定个人化的治疗计划。例如，计算生物学工具可用于分析患者的遗传图谱，以确定对该特定患者最有效且最安全的治疗方法。

计算生物学如何用于开发治疗慢性疾病的新药物的一个例子是标靶癌症疗法的开发。标靶癌症疗法是针对参与癌细胞生长和存活的特定分子的药物。计算生物学工具被用来识别癌症的新药物标靶，设计新的癌症标靶疗法，并预测临床试验中癌症标靶疗法的疗效。计算生物学如何用于改善慢性病的诊断和管理的另一个例子是糖尿病个人化医疗方法的发展。糖尿病是一种慢性疾病，会影响人体产生或使用胰岛素（一种调节血糖水平的荷尔蒙）的能力。计算生物学工具被用来分析糖尿病患者的基因图谱，以确定针对该特定患者的最有效和最安全的治疗方法。

目录

第 1 章：报告摘要

  • 目前行业分析及成长潜力展望
  • 研究方法和工具
  • 市场区隔
    • 按细分
    • 按地区

第 2 章：市场概述与见解

  • 报告范围
  • 分析师见解和当前市场趋势
    • 主要发现
    • 建议
    • 结论

第 3 章：竞争格局

  • 主要公司分析
  • Dassault Systemes
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • Illumina, Inc.
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • QIAGEN GmbH
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • Schrodinger, LLC.
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • Thermo Fisher Scientific Inc.
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • 关键策略分析

第 4 章：市场细分

  • 全球计算生物学市场（按应用）
    • 药物发现与开发
    • 临床试验
    • 人体模拟软体
    • 临床前药物开发
    • 其他（细胞和生物模拟）
  • 全球计算生物学市场（按服务）
    • 软体平台
    • 基础设施和硬体
    • 咨询服务
  • 以最终用途分類的全球计算生物学市场
    • 学术界和研究
    • 製药和生物技术公司
    • 临床诊断公司

第 5 章：区域分析

  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 义大利
    • 西班牙
    • 法国
    • 欧洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 韩国
    • 亚太其他地区
  • 世界其他地区

第 6 章：公司简介

  • Agilent Technologies, Inc.
  • Bio-Rad Laboratories, Inc.
  • Certara, Inc.
  • Chemical Computing Group ULC ("CCG")
  • Compugen
  • DNAnexus, Inc.
  • DNASTAR
  • Genedata
  • InSilico Medicine
  • Intelisys, Inc.
  • Nimbus Therapeutics
  • Oxford Nanopore Technologies plc
  • PacBio.
  • PerkinElmer U.S. LLC.
  • PhenX
  • Simulations Plus
  • Yokogawa Insilico Biotechnology GmbH
Product Code: OMR2027853

Title: Global Computational Biology Market Size, Share & Trends Analysis Report Market by Application (Drug discovery and development, Clinical trials, Human body simulation software, Preclinical drug development, and Others (Cellular and biological simulation)), by Service (Software platforms Infrastructure and hardware, Consulting services), End-use(Academia and research, Pharmaceutical and biotechnology companies, Clinical diagnostics companies)Forecast Period (2023-2030).

The global Computational biology market is anticipated to grow at a considerable CAGR of 15.8% during the forecast period. Computational biology is the use of data analysis, mathematical modeling, and computational simulations to understand biological systems and relationships. It's an interdisciplinary field that uses computational methods to analyze large collections of biological data, such as genetic sequences, cell populations, or protein samples. Chronic diseases, such as cancer, heart disease, and diabetes, are a major global health problem. Computational biology is being used to develop new drugs and treatments for chronic diseases, as well as to improve the diagnosis and management of these diseases. This is one of the key drivers for the market growth. Computational biology tools can be used to analyze large datasets of genomic, transcriptomic, and proteomic data to identify new genes and proteins that play a role in the development and progression of chronic diseases. Once these new drug targets have been identified, researchers can begin to develop new drugs that target these molecules. Computational biology tools can be used to design new drugs that are more effective and have fewer side effects. For example, computational biology tools can be used to simulate the interaction between a drug molecule and its target protein to identify the most effective drug structure. Computational biology tools can be used to predict the toxicity and efficacy of drugs before they are tested in clinical trials. This can help to save time and money in the drug development process. Computational biology tools can be used to develop new diagnostic tests and to develop personalized treatment plans for patients with chronic diseases. For example, computational biology tools can be used to analyze the patient's genetic profile to identify the most effective and safest treatments for that particular patient.

One example of how computational biology is being used to develop new drugs for chronic diseases is the development of targeted cancer therapies. Targeted cancer therapies are drugs that target specific molecules that are involved in the growth and survival of cancer cells. Computational biology tools are being used to identify new drug targets for cancer, to design new targeted cancer therapies, and to predict the efficacy of targeted cancer therapies in clinical trials. Another example of how computational biology is being used to improve the diagnosis and management of chronic diseases is the development of personalized medicine approaches for diabetes. Diabetes is a chronic disease that affects the body's ability to produce or use insulin, a hormone that regulates blood sugar levels. Computational biology tools are being used to analyze the genetic profile of patients with diabetes to identify the most effective and safest treatments for that particular patient.

Segmental Outlook

The global Computational biology market is segmented based on application, service, and end-use. Based on the application, the market is segmented into drug discovery and development, clinical trials, human body simulation software, preclinical drug development, and others (cellular and biological simulation) and others. Based on service, the market is sub-segmented into software platforms, infrastructure, and hardware, consulting services). Based on end-use, the market is sub-segmented into academia and research, pharmaceutical and biotechnology companies, clinical diagnostics companies, and others.

The End-use Segment showed a major market share for the Computational biology market

Pharmaceutical and biotechnology companies hold the major market share in the global computational biology market by end-use. This is because pharmaceutical and biotechnology companies are at the forefront of developing new drugs and treatments for diseases, and computational biology is playing an increasingly important role in this process. One example of how pharmaceutical and biotechnology companies are using computational biology is in the drug discovery process. Traditionally, drug discovery has been a long and expensive process, involving the screening of millions of compounds to find a few that may have potential therapeutic effects. However, computational biology tools can be used to accelerate this process by helping researchers to identify promising drug targets and to design new drugs that are more likely to be effective.

Regional Outlook

The global Computational biology market is further segmented based on geography, including North America (the US and Canada), Europe (Italy, Spain, Germany, France, and others), Asia-Pacific (India, China, Japan, South Korea, and others), and the Rest of the World (the Middle East & Africa and Latin America). Among these, North America holds the major market share for many reasons, one of which is the presence of major pharmaceutical and biotechnology companies, as well as leading academic institutions.

Europe is expected to grow at a consistent pace in the global market

The European region is experiencing a consistent growth rate in the global market. The growth of the computational biology market in Europe is being driven by increasing investments in drug discovery and development, as well as the growing adoption of personalized medicine. Europe is a major hub for pharmaceutical and biotechnology companies, and these companies are investing heavily in drug discovery and development. Computational biology is playing an increasingly important role in this process, helping researchers to identify new drug targets, design new drugs, and predict the toxicity and efficacy of drugs. Personalized medicine is a new approach to healthcare that affects treatments to the individual patient's genetic profile. Computational biology tools are essential for personalized medicine, as they can be used to analyze the patient's genetic profile to identify the most effective and safest treatments for that particular patient.

Market Players Outlook

The major companies serving the global Computational biology market include: Dassault Systemes, Illumina, Inc., QIAGEN GmbH, Schrodinger, LLC., and Thermo Fisher Scientific Inc. among others. The market players are considerably contributing to the market growth by the adoption of various strategies, including mergers and acquisitions, partnerships, collaborations, and new product launches, to stay competitive in the market. For instance, in May 2022, global professional services firm ZS acquired a Danish informatics and systems biology company named Intomics. The 42 members of Intomics will join ZS's staff of 12,000 employees worldwide and strengthen its team of molecular natives who combine scientific, data science, and technology expertise with a research mindset to advance the adoption of in-silico methods in drug discovery.

The Report Covers:

  • Market value data analysis of 2022 and forecast to 2030.
  • Annualized market revenues ($ million) for each market segment.
  • Country-wise analysis of major geographical regions.
  • Key companies operating in the global computational biology market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
  • Analysis of market-entry and market expansion strategies.
  • Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1. Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Region

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion

3. Competitive Landscape

  • 3.1. Key Company Analysis
  • 3.2. Dassault Systemes
    • 3.2.1. Overview
    • 3.2.2. Financial Analysis
    • 3.2.3. SWOT Analysis
    • 3.2.4. Recent Developments
  • 3.3. Illumina, Inc.
    • 3.3.1. Overview
    • 3.3.2. Financial Analysis
    • 3.3.3. SWOT Analysis
    • 3.3.4. Recent Developments
  • 3.4. QIAGEN GmbH
    • 3.4.1. Overview
    • 3.4.2. Financial Analysis
    • 3.4.3. SWOT Analysis
    • 3.4.4. Recent Developments
  • 3.5. Schrodinger, LLC.
    • 3.5.1. Overview
    • 3.5.2. Financial Analysis
    • 3.5.3. SWOT Analysis
    • 3.5.4. Recent Developments
  • 3.6. Thermo Fisher Scientific Inc.
    • 3.6.1. Overview
    • 3.6.2. Financial Analysis
    • 3.6.3. SWOT Analysis
    • 3.6.4. Recent Developments
  • 3.7. Key Strategy Analysis

4. Market Segmentation

  • 4.1. Global Computational Biology Market by Application
    • 4.1.1. Drug discovery and development
    • 4.1.2. Clinical trials
    • 4.1.3. Human body simulation software
    • 4.1.4. Preclinical drug development
    • 4.1.5. Others (Cellular and biological simulation)
  • 4.2. Global Computational Biology Market by Service
    • 4.2.1. Software platforms
    • 4.2.2. Infrastructure and hardware
    • 4.2.3. Consulting services
  • 4.3. Global Computational Biology Market by End-use
    • 4.3.1. Academia and research
    • 4.3.2. Pharmaceutical and biotechnology companies
    • 4.3.3. Clinical diagnostics companies

5. Regional Analysis

  • 5.1. North America
    • 5.1.1. United States
    • 5.1.2. Canada
  • 5.2. Europe
    • 5.2.1. UK
    • 5.2.2. Germany
    • 5.2.3. Italy
    • 5.2.4. Spain
    • 5.2.5. France
    • 5.2.6. Rest of Europe
  • 5.3. Asia-Pacific
    • 5.3.1. China
    • 5.3.2. India
    • 5.3.3. Japan
    • 5.3.4. South Korea
    • 5.3.5. Rest of Asia-Pacific
  • 5.4. Rest of the World

 

6. Company Profiles

  • 6.1. Agilent Technologies, Inc.
  • 6.2. Bio-Rad Laboratories, Inc.
  • 6.3. Certara, Inc.
  • 6.4. Chemical Computing Group ULC ("CCG")
  • 6.5. Compugen
  • 6.6. DNAnexus, Inc.
  • 6.7. DNASTAR
  • 6.8. Genedata
  • 6.9. InSilico Medicine
  • 6.10. Intelisys, Inc.
  • 6.11. Nimbus Therapeutics
  • 6.12. Oxford Nanopore Technologies plc
  • 6.13. PacBio.
  • 6.14. PerkinElmer U.S. LLC.
  • 6.15. PhenX
  • 6.16. Simulations Plus
  • 6.17. Yokogawa Insilico Biotechnology GmbH

LIST OF TABLES

  • 1. GLOBAL COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2030 ($ MILLION)
  • 2. GLOBAL COMPUTATIONAL BIOLOGY IN DRUG DISCOVERY AND DEVELOPMENT MARKET RESEARCH AND ANALYSIS BY REGION,2023-2030 ($ MILLION)
  • 3. GLOBAL COMPUTATIONAL BIOLOGY IN CLINICAL TRIALS MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 4. GLOBAL COMPUTATIONAL BIOLOGY IN HUMAN BODY SIMULATION SOFTWARE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 5. GLOBAL COMPUTATIONAL BIOLOGY IN PRECLINICAL DRUG DEVELOPMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 6. GLOBAL COMPUTATIONAL BIOLOGY IN OTHERS (CELLULAR AND BIOLOGICAL SIMULATION) MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 7. GLOBAL COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY SERVICE, 2023-2030 ($ MILLION)
  • 8. GLOBAL COMPUTATIONAL BIOLOGY BY SOFTWARE PLATFORMS MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 9. GLOBAL COMPUTATIONAL BIOLOGY BY INFRASTRUCTURE AND HARDWARE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 10. GLOBAL COMPUTATIONAL BIOLOGY BY CONSULTING SERVICES MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 11. GLOBAL COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY END-USE, 2023-2030 ($ MILLION)
  • 12. GLOBAL COMPUTATIONAL BIOLOGY FOR ACADEMIA AND RESEARCH MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 13. GLOBAL COMPUTATIONAL BIOLOGY FOR PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 14. GLOBAL COMPUTATIONAL BIOLOGY FOR CLINICAL DIAGNOSTICS COMPANIES MARKET AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 15. GLOBAL COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2030 ($ MILLION)
  • 16. NORTH AMERICAN COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2030 ($ MILLION)
  • 17. NORTH AMERICAN COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2030 ($ MILLION)
  • 18. NORTH AMERICAN COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY SERVICE, 2023-2030 ($ MILLION)
  • 19. NORTH AMERICAN COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY END-USE, 2023-2030 ($ MILLION)
  • 20. EUROPEAN COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2030 ($ MILLION)
  • 21. EUROPEAN COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2030 ($ MILLION)
  • 22. EUROPEAN COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY SERVICE, 2023-2030 ($ MILLION)
  • 23. EUROPEAN COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY END-USE, 2023-2030 ($ MILLION)
  • 24. ASIA- PACIFIC COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2030 ($ MILLION)
  • 25. ASIA-PACIFIC COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2030 ($ MILLION)
  • 26. ASIA-PACIFIC COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY SERVICE, 2023-2030 ($ MILLION)
  • 27. ASIA-PACIFIC COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY END-USE, 2023-2030 ($ MILLION)
  • 28. REST OF THE WORLD COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2030 ($ MILLION)
  • 29. REST OF THE WORLD COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2030 ($ MILLION)
  • 30. REST OF THE WORLD COMPUTATIONAL BIOLOGY MARKET RESEARCH AND END-USE BY SERVICE, 2023-2030 ($ MILLION)
  • 31. REST OF THE WORLD COMPUTATIONAL BIOLOGY MARKET RESEARCH AND ANALYSIS BY END-USE, 2023-2030 ($ MILLION)

LIST OF FIGURES

  • 1. GLOBAL COMPUTATIONAL BIOLOGY MARKET SHARE BY APPLICATION, 2023 VS 2030 (%)
  • 2. GLOBAL COMPUTATIONAL BIOLOGY IN DRUG DISCOVERY AND DEVELOPMENT MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 3. GLOBAL COMPUTATIONAL BIOLOGY IN CLINICAL TRIALS MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 4. GLOBAL COMPUTATIONAL BIOLOGY IN HUMAN BODY SIMULATION SOFTWARE MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 5. GLOBAL COMPUTATIONAL BIOLOGY IN PRECLINICAL DRUG DEVELOPMENT MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 6. GLOBAL COMPUTATIONAL BIOLOGY IN OTHERS (CELLULAR AND BIOLOGICAL SIMULATION) MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 7. GLOBAL COMPUTATIONAL BIOLOGY MARKET SHARE BY SERVICE, 2023 VS 2030 ($ MILLION)
  • 8. GLOBAL COMPUTATIONAL BIOLOGY BY SOFTWARE PLATFORMS MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 9. GLOBAL COMPUTATIONAL BIOLOGY BY INFRASTRUCTURE AND HARDWARE MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 10. GLOBAL COMPUTATIONAL BIOLOGY BY CONSULTING SERVICES MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 11. GLOBAL COMPUTATIONAL BIOLOGY MARKET SHARE ANALYSIS BY END-USE, 2023-2030 ($ MILLION)
  • 12. GLOBAL COMPUTATIONAL BIOLOGY FOR ACADEMIA AND RESEARCH MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 13. GLOBAL COMPUTATIONAL BIOLOGY FOR PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES MARKET SHARE BY REGION, 2023 VS. 2030 (%)
  • 14. GLOBAL COMPUTATIONAL BIOLOGY FOR CLINICAL DIAGNOSTICS COMPANIES MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 15. GLOBAL COMPUTATIONAL BIOLOGY MARKET SHARE BY REGION, 2023 VS 2030 (%)
  • 16. US COMPUTATIONAL BIOLOGY MARKET SIZE, 2023-2030 ($ MILLION)
  • 17. CANADA COMPUTATIONAL BIOLOGY MARKET SIZE, 2023-2030 ($ MILLION)
  • 18. UK COMPUTATIONAL BIOLOGY MARKET SIZE, 2023-2030 ($ MILLION)
  • 19. FRANCE COMPUTATIONAL BIOLOGY MARKET SIZE, 2023-2030 ($ MILLION)
  • 20. GERMANY COMPUTATIONAL BIOLOGY MARKET SIZE, 2023-2030 ($ MILLION)
  • 21. ITALY COMPUTATIONAL BIOLOGY MARKET SIZE, 2023-2030 ($ MILLION)
  • 22. SPAIN COMPUTATIONAL BIOLOGY MARKET SIZE, 2023-2030 ($ MILLION)
  • 23. REST OF EUROPE COMPUTATIONAL BIOLOGY MARKET SIZE, 2023-2030 ($ MILLION)
  • 24. INDIA COMPUTATIONAL BIOLOGY MARKET SIZE, 2023-2030 ($ MILLION)
  • 25. CHINA COMPUTATIONAL BIOLOGY MARKET SIZE, 2023-2030 ($ MILLION)
  • 26. JAPAN COMPUTATIONAL BIOLOGY MARKET SIZE, 2023-2030 ($ MILLION)
  • 27. SOUTH KOREA COMPUTATIONAL BIOLOGY MARKET SIZE, 2023-2030 ($ MILLION)
  • 28. REST OF ASIA-PACIFIC COMPUTATIONAL BIOLOGY MARKET SIZE, 2023-2030 ($ MILLION)
  • 29. REST OF THE WORLD COMPUTATIONAL BIOLOGY MARKET SIZE, 2023-2030 ($ MILLION)