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计算生物学市场:按应用、服务和最终用途:2021-2031 年全球机会分析和行业预测Computational Biology Market By Application, By Services, By End Use : Global Opportunity Analysis and Industry Forecast, 2021-2031 |
全球计算生物学市场预计将在 2021 年达到 54.932 亿美元,在 2031 年达到 314.771 亿美元,从 2022 年到 2031 年的复合年增长率为 19.5%。
计算生物学是一门跨学科的应用科学,它使用数学、理论和计算机模拟模型来利用基础生物学的概念来研究生物系统、结构和生命过程。生物学通常涉及使用非常大规模的计算技术(例如算法)来表示和模拟生物系统以及解释实验数据。
功能预测是基于未知和已知蛋白质之间的序列和结构相似性以及蛋白质与其他分子之间的相互作用进行的。这样的分析需要很长时间,因此对计算生物学的需求正在迅速增长。因此,这些分析指导构建目标蛋白质结构的三维模型、改进模型、对它们进行排序、相互比较,最后选择预测因子的过程。生化、调控和遗传途径是高度分支、交错和动态的,需要使用高度计算的方法进行建模和分析。
COVID-19 大流行正在影响计算生物学市场。为了遏制 COVID-19 的传播,世界各国政府都实施了严格的限制措施,例如边境封锁、禁闭和严格的社会疏离措施。这些措施对全球经济产生了重大影响,影响了各个行业。製药和生物技术公司正在与世界各地的政府合作应对 COVID-19 疫情,从支持疫苗开发到规划药物供应链挑战。目前大约有 115 种候选疫苗和 155 种分子在研发中。
此外,COVID-19 爆发导致高死亡率、高传播率以及临床批准的药物和疫苗短缺。为了为这种传染病找到安全有效的治疗方法,计算生物学在更好地了解病毒的致病机制和提出新的治疗方法方面发挥着非常重要的作用。因此,随着计算机科学的进步,药物化学、药理学、生物学、遗传学和病毒学中的计算机方法涵盖了与这些领域当代研究相关的挑战。此外,由于当前的全球健康警告,这种计算技术可以加速研究,为应对冠状病毒紧急情况提供创新和中肯的方法。.因此,计算生物学将不可逆转地帮助医学科学领域找到治疗方法并促进医药市场的增长。
全球计算生物学市场的增长正在增加对基因组学、表观基因组学、蛋白质组学、宏基因组学等各个领域的计算生物学工具的需求,以提高我们对蛋白质结构和相互作用的理解。主要因素是此外,增加药物发现的研发活动、对预测模型的需求激增、人类基因组计划等人口测序项目的使用以及政府资助也促进了市场的增长。
通过在计算生物学中应用复杂的算法和统计模型来分析生物数据,研究人员可以获得可用于发现新药的重要见解。此外,机器学习和人工智能的应用将帮助研究人员更好地了解生物系统,发现新药,设计新的蛋白质来治癒疾病,了解遗传密码以帮助预测疾病。计算生物学领域的几家初创公司提供了有助于药物开发过程的软件平台。预计这将有助于扩大该市场的收益。
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此外,合同研究机构对计算生物学不断增长的需求正在推动市场的增长。合同研究机构服务提供商与客户合作,根据他们的要求制定定制计划。例如,Bioinformatics CRO, Inc. 是一家合同研究机构,为世界各地的生物技术公司提供生物信息学服务。
计算生物学软件/工具有助于构建自定义分析流程,以便从数据中获得更有意义的见解,并进一步分析和加权来自大量和单细胞 RNA-seq 的基因表达数据。它可用于执行网络分析,例如基因共表达网络分析(WGCNA)。计算生物学用于製药、生物技术和医疗器械等各个领域的产品开发。因此,这些领域的快速发展对全球计算生物学市场的增长做出了重大贡献。
然而,计算生物学无法检测到的过敏反应和术后并发症、不利的政府情景、高昂的设备初始和维护成本、缺乏标准化以及缺乏熟练劳动力都是威胁全球市场的因素。主要抑製剂。
全球计算生物学市场细分为应用、服务、最终用途和区域。按应用分为细胞/生物模拟、药物发现/疾病建模、临床前药物开发、临床试验和人体模拟软件。
细胞和生物体模拟细分为计算机、基因组学、计算蛋白质组学、药物基因组学等。药物发现和疾病建模分为目标识别、目标验证、先导发现和先导优化。临床前药物开发分为药代动力学和药效学。临床试验分为I期、II期和III期。
The global computational biology market was valued at $5,493.2 million in 2021, and is projected to reach $31,477.1 million by 2031, registering a CAGR of 19.5% from 2022 to 2031.
Computational biology is the inter-disciplinary applied science, which utilizes concepts of basic biology through the use of mathematical, theoretical, and computer simulation models to study biological systems, structures, and processes of life.. It entails the use of computational methods (e.g., algorithms) for the representation and simulation of biological systems as well as for the interpretation of experimental data, often on a very large scale.
The sequence and structural similarities of an unknown and a known protein as well as the proteins' interactions with other molecules are used to make functional predictions. As such analyses can be lengthy, the demand for computational biology has increased rapidly., Therefore, these analyses guide the process of building 3D models of the target protein structure, which are then refined, ranked, and compared with one another to select the final predictions.. Biochemical, regulatory, and genetic pathways are highly branched and interleaved, as well as dynamic, necessitating the use of advanced computational methods to model and analyze them.
The COVID-19 pandemic has had an impact on the computational biology market. To curb the spread of COVID-19, governments around the world implemented harsh restrictions such as border locks, lockdowns, and tight social distancing measures. These measures had a significant impact on the global economy, affecting a variety of industries. Pharmaceutical and biotech companies together with governments around the globe are working to address the COVID-19 outbreak, from supporting the development of vaccines to planning for medicine supply chain challenges. Currently, around 115 vaccine candidates and 155 molecules are in the R&D pipeline.
Furthermore, the outbreak of COVID-19 led to high mortality, high contagion rate, and a lack of clinically approved drugs and vaccines. To find safe and effective therapeutic options to treat this infectious disease, computational biology plays an extremely relevant role to better understand the virus pathogenic mechanism as well as to propose novel therapeutic strategies. Accordingly, due to progress in computer science, in silico methodologies in medicinal chemistry, pharmacology, biology, genetics, and virology cover relevant tasks in modern research in these fields. Furthermore, due to the current global health warning, such computational techniques could speed up research to provide innovative and targeted approaches to fight the coronavirus emergency. Hence, computational biology will help the medical science field irreversibly to find a cure and boost the growth of the pharma market.
The growth of the global computational biology market is majorly driven by rise in demand for tools of computational biology in various fields such as genomics, epi-genomics, proteomics, and meta-genomics for better understanding of protein structure and interactions.. In addition, factors fueling the market growth include rise in R&D activities for drug discovery, surge in demand for predictive models, usage in population-based sequencing projects such as human genome project, and government funding.
The application of sophisticated algorithms and statistical models in computational biology to analyze biological data enables researchers to gather critical insights, which can be utilized for discovery of new drugs. Moreover, application of machine learning and artificial intelligence allowed researchers to develop a better understanding of biological systems, discovering new drugs, designing new proteins to cure diseases, and help in understanding genetic code to predict diseases. Several start-ups in computational biology provide software platform that contributes to the pharmaceutical development process. This is expected to contribute to revenue growth of the market.
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Moreover, increase in demand from the contract research organization for computational biology drives the growth of the market. Contract research organization service providers work with clients to develop a customized plan as per the requirements. For instance, the Bioinformatics CRO, Inc. is a contract research organization that offers bioinformatics services to biotechnology companies worldwide.
The computational biology software/tools help in building custom analytical pipelines to generate more critical insights from data also it can be used to further analyze gene expression data from bulk and single-cell RNA-sequence, and perform network analysis such as Weighted Gene Co-expression Network Analysis (WGCNA). Various sectors such as the pharmaceutical, biotechnology, and medical device use computational biology for developing their products. Thus, rapid development of these sectors notably contributes toward the growth of the global computational biology market.
However, complications such as allergic reactions that cannot be detected by computational biology and other post-surgery complications, unfavorable government scenario, high initial cost & maintenance costs of the instruments, lack of standardization, and shortage of skilled workforce act as the key deterrent factors of the global market.
The global computational biology market is segmented into application, service, and end use, and region. By application, the market is segregated into cellular & biological simulation, drug discovery & disease modeling, pre-clinical drug development, clinical trials, and human body simulation software.
The cellular & biological simulation is sub-segmented into computer, genomics, computational proteomics, pharmacogenomics, and others. The drug discovery & disease modeling segregated into target identification, target validation, lead discovery, and lead optimization. The pre-clinical drug development segmented into pharmacokinetics and pharmacodynamics. The clinical trials are subcategorized into phase I, phase II, and phase III.
On the basis of services, the segment is divided into in-house services and contract. On the basis of end use the segment is divided into academics & research and commercials. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The major companies that operate in the computational biology market are Altaris Capital Partner, Compugen Ltd., Certara, Genedata AG, Dassault Systems, DNAnexus, Nimbus Discovery, Instem, Rosa & Co. Ltd, and Simulation Plus.
Key Benefits For Stakeholders
This report entails a detailed quantitative analysis along with the current computational biology market trends from 2022 to 2031 to identify the prevailing opportunities along with the strategic assessment.
The computational biology market forecast is studied from 2022 to 2031.
The market size and estimations are based on a comprehensive analysis of key developments in the computational biology industry.
A qualitative analysis based on innovative products facilitates strategic business planning.
The development strategies adopted by the key market players are enlisted to understand the competitive scenario of the computational biology market.
Key Market Segments
By Application
By Services
By End Use
By Region