計算生物學的全球市場 - 市場規模，佔有率，成長分析:各用途，各終端用戶，各類服務，產業預測(2022年～2028年)

Global Computational Biology Market Size, Share, Growth Analysis, By Application(Cellular, Biological Simulation), By End-User(Academics, Commercial), By Service(In-House and Contract) - Industry Forecast 2022-2028

出版日期: 2022年12月20日 | 出版商:

SkyQuest | 英文 165 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

全球計算生物學的市場規模，2021年是53億5,000萬美金。該市場，在預測期間(2022年～2028年)預計以19.9％的年複合成長率擴大，2028年達到147億美元。

本報告提供全球計算生物學市場相關調查，市場概要，以及各用途，各終端用戶，各類服務，各地區的趨勢，及加入此市場的主要企業簡介等資訊。

Computational biology is a multidisciplinary applied field that uses ideas from basic biology to investigate biological systems through mathematical, theoretical, and computer simulation models. The demand for predictive models, their application in population-based sequencing projects like the human genome project, and government funding are all factors that are propelling the market's growth.

In computational bio-modeling, computer-aided biological models are used to precisely display simulation and examine the complexities of biological models in a virtual environment. The computational genetics subfield of computational biology focuses on the study of genomic homology and internal biological systems. One of the best examples is the Human Genome Project, in which the entire human genome was successfully sequenced.

By mapping complex interconnected pathways, computational biology is used in neurology to view and comprehend three-dimensional simulation models of the brain. Computational pharmacology simulates intricate drug-drug interactions when creating new medications using computer-aided visualisation techniques.

The market is growing due to increased investment in research and development (R&D) for pharmaceutical development, the demand for predictive models, their use in population-based sequencing initiatives like the human genome project, and government funding. Ambrx Inc., a clinical-stage biopharmaceutical company specialising in the field of protein therapies, and BeiGene, Ltd., a commercial stage pharmaceutical company engaged in the development of immuno-oncology medications, for instance, signed an R&D collaboration agreement in March 2019. The protein sequences of both E. coli and human were altered to add an artificial amino acid. Ambrx has created a patented Expanded Genetic Code platform using E. coli and Chinese Hamster Ovary (CHO) cells. With the help of this collaboration, both parties will be able to develop clinically advanced biologic therapies thanks to Ambrx's drug discovery platforms and its knowledge, experience, and resource pool.

Due to the rising costs of pharmaceuticals and the steadily rising rate of drug failure in late stages of clinical trials, participants in the pharmaceutical industry are moving away from traditional clinical trial techniques and towards predictive models. Because of the growing demand for predictive models, the global market for computational biology is growing significantly. The market is also being stimulated by the increased funding from public and private institutions for research and development in this field.

Top-down and bottom-up approaches were used to estimate and validate the size of Asia Pacific Computational biology market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined by using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Segments covered in this report:

The global computational biology market has been segmented based on application, end-user, service, and region. Based on application, the market is segmented into cellular and biological simulation, drug discovery, disease modeling, and others. Based on the end-user, the market is segmented into academics, commercial, and pharmaceutical. By service, the market is segmented into In-House and Contract. Based on region, the market is segmented into North America, Europe, Asia-Pacific, South America, and MEA.

Driver

It is anticipated that as better computational tools for genome sequencing become more accessible, demand for computational biology will rise. A wide range of tasks are carried out by computer programmes, including the creation of PCR primers, the display of restriction enzyme cut sites on any piece of DNA, the conversion of DNA sequences into amino acid sequences, and many others. Due to the expanding availability of databases and sequence analysis software, scientists can now easily access a wealth of information about the structure of genes, their encoded message, and many other topics. Computational methods increase the effectiveness of the drug development process by identifying functionally significant protein sequences in these sizable datasets. The protein targets found in the genomes of microorganisms, for example, can be used to eradicate diseases or develop beneficial enzymes that can be further commercialised. The most effective method for choosing useful proteins from extensive genetic databases is computer-based protein function prediction.

Furthermore, as sequence design tools advance more quickly, scientists can modify existing genes to improve protein expression. These computational methods enable the construction of artificial DNA sequences based on genetic elements, which serve as structural building blocks. For instance, GenoCAD, a tool that relies on formal design principles and the concept of grammars, which are collections of rules outlining the structure of DNA sequences, makes it simpler to create synthetic DNA sequences. This is anticipated to have a significant effect on the market's revenue growth over the course of the forecast period.

Restraint

Lack of skilled workers and uniformity have been major constraints on the global computational biology market. Computational biology requires a strong background in cloud computing, the biological sciences, and excellent programming, arithmetic, and statistics skills. Additionally, because it is an interdisciplinary field, the absence of a prescribed curriculum is expected to limit the skill development of recent graduates. In computational biology, there are also no well-established methods for detecting problems like allergic reactions and other post-surgery side effects. It is anticipated that these factors will restrain market revenue growth.

Market Trends

The primary driver of the global market for computational biology is the increase in clinical studies in the field of pharmacogenomics. This has increased understanding of the diverse biological make-up, biological pathways, and underlying genomes of the patient population. Due to their ability to speed up scientific research and the search for novel medications, computational biology solutions are in high demand. Additionally, the need for computational biology to understand protein structures and interactions is growing in the fields of epigenomics, proteomics, and meta-genomics. Increased investments in research and development (R&D) activities by both private and public institutions, as well as significant technological advancements in disease modelling and drug development, are also anticipated.