市場調查報告書
商品編碼
1139888
計算生物學市場:按應用、服務和最終用途:2021-2031 年全球機會分析和行業預測Computational Biology Market By Application, By Services, By End Use : Global Opportunity Analysis and Industry Forecast, 2021-2031 |
全球計算生物學市場預計將在 2021 年達到 54.932 億美元,在 2031 年達到 314.771 億美元,從 2022 年到 2031 年的複合年增長率為 19.5%。
計算生物學是一門跨學科的應用科學,它使用數學、理論和計算機模擬模型來利用基礎生物學的概念來研究生物系統、結構和生命過程。生物學通常涉及使用非常大規模的計算技術(例如算法)來表示和模擬生物系統以及解釋實驗數據。
功能預測是基於未知和已知蛋白質之間的序列和結構相似性以及蛋白質與其他分子之間的相互作用進行的。這樣的分析需要很長時間,因此對計算生物學的需求正在迅速增長。因此,這些分析指導構建目標蛋白質結構的三維模型、改進模型、對它們進行排序、相互比較,最後選擇預測因子的過程。生化、調控和遺傳途徑是高度分支、交錯和動態的,需要使用高度計算的方法進行建模和分析。
COVID-19 大流行正在影響計算生物學市場。為了遏制 COVID-19 的傳播,世界各國政府都實施了嚴格的限制措施,例如邊境封鎖、禁閉和嚴格的社會疏離措施。這些措施對全球經濟產生了重大影響,影響了各個行業。製藥和生物技術公司正在與世界各地的政府合作應對 COVID-19 疫情,從支持疫苗開發到規劃藥物供應鏈挑戰。目前大約有 115 種候選疫苗和 155 種分子在研發中。
此外,COVID-19 爆發導致高死亡率、高傳播率以及臨床批准的藥物和疫苗短缺。為了為這種傳染病找到安全有效的治療方法,計算生物學在更好地了解病毒的致病機制和提出新的治療方法方面發揮著非常重要的作用。因此,隨著計算機科學的進步,藥物化學、藥理學、生物學、遺傳學和病毒學中的計算機方法涵蓋了與這些領域當代研究相關的挑戰。此外,由於當前的全球健康警告,這種計算技術可以加速研究,為應對冠狀病毒緊急情況提供創新和中肯的方法。.因此,計算生物學將不可逆轉地幫助醫學科學領域找到治療方法並促進醫藥市場的增長。
全球計算生物學市場的增長正在增加對基因組學、表觀基因組學、蛋白質組學、宏基因組學等各個領域的計算生物學工具的需求,以提高我們對蛋白質結構和相互作用的理解。主要因素是此外,增加藥物發現的研發活動、對預測模型的需求激增、人類基因組計劃等人口測序項目的使用以及政府資助也促進了市場的增長。
通過在計算生物學中應用複雜的算法和統計模型來分析生物數據,研究人員可以獲得可用於發現新藥的重要見解。此外,機器學習和人工智能的應用將幫助研究人員更好地了解生物系統,發現新藥,設計新的蛋白質來治癒疾病,了解遺傳密碼以幫助預測疾病。計算生物學領域的幾家初創公司提供了有助於藥物開發過程的軟件平台。預計這將有助於擴大該市場的收益。
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此外,合同研究機構對計算生物學不斷增長的需求正在推動市場的增長。合同研究機構服務提供商與客戶合作,根據他們的要求制定定制計劃。例如,Bioinformatics CRO, Inc. 是一家合同研究機構,為世界各地的生物技術公司提供生物信息學服務。
計算生物學軟件/工具有助於構建自定義分析流程,以便從數據中獲得更有意義的見解,並進一步分析和加權來自大量和單細胞 RNA-seq 的基因表達數據。它可用於執行網絡分析,例如基因共表達網絡分析(WGCNA)。計算生物學用於製藥、生物技術和醫療器械等各個領域的產品開發。因此,這些領域的快速發展對全球計算生物學市場的增長做出了重大貢獻。
然而,計算生物學無法檢測到的過敏反應和術後並發症、不利的政府情景、高昂的設備初始和維護成本、缺乏標準化以及缺乏熟練勞動力都是威脅全球市場的因素。主要抑製劑。
全球計算生物學市場細分為應用、服務、最終用途和區域。按應用分為細胞/生物模擬、藥物發現/疾病建模、臨床前藥物開發、臨床試驗和人體模擬軟件。
細胞和生物體模擬細分為計算機、基因組學、計算蛋白質組學、藥物基因組學等。藥物發現和疾病建模分為目標識別、目標驗證、先導發現和先導優化。臨床前藥物開發分為藥代動力學和藥效學。臨床試驗分為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