市场调查报告书
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1403391
2030 年总体基因体学市场预测:按产品类型、技术、应用、最终用户和地区进行的全球分析Metagenomics Market Forecasts to 2030 - Global Analysis By Product Type (Kits & Reagents, Software, Sequencing & Data Analytics Services and Other Product Types), Technology, Application, End User and By Geography |
根据Stratistics MRC预测,2023年全球总体基因体学市场规模将达20亿美元,预计在预测期内复合年增长率为18.5%,到2030年将达到65亿美元。
从环境样本中提取遗传物质的研究称为总体基因体学。这项研究的特点是作为微生物群落研究遗传和微生物途径的工具。这提供了一个强大的镜头,能够理解整个生命宇宙。科技使研究人员能够接触到各种各样的微生物,使他们能够更好地了解微生物生态系统。
根据美国国家人类基因组研究所截至 2017 年 7 月的报告,对一个人类基因组序列测定大约需要 743 Terabyte(743,000 GB) 的资料,而 2001 年人类基因计划启动时将产生 16.2 GB 的数据。
临床应用需求不断增加
总体基因体学在疾病诊断、个人化医疗以及了解人类微生物组在健康和疾病中的作用的临床实践中正在取得进展。它能够对微生物群落进行全面分析,有助于疾病识别、治疗优化和药物开发。这些生物标记有潜力作为各种疾病的诊断指标和治疗标靶。这些都是推动市场成长的因素。
道德和监管问题
敏感资讯的管理引起了必须解决的道德和隐私问题,特别是与人类微生物组资料的使用相关的问题。此外,管理遗传和资料使用的法律的地区差异资料商业化和研究倡议。此外,管理、储存和解读此类资料可能很困难,并且需要专业知识,这可能会进一步阻碍市场扩张。
提高意识和研究倡议
人们越来越关注微生物组对农业、人类健康和环境的影响,导致资金筹措和研究计划的增加。由于技术和分析技术的进步,总体基因体学学领域正在迅速发展。由于新的发现和见解,我们对微生物群落的了解不断增长。由于政府机构、学术机构和商业公司的资助不断增加,宏基因组研究市场正在不断成长。
与定序技术相关的高成本
资料分析、电脑资源和定序技术的高昂成本是小型研究机构和预算有限的公司使用它们的主要障碍。宏基因组研究产生大量资料,需要先进的计算基础设施和生物资讯知识。评估各种微生物群落的挑战之一是它们的复杂性。这是阻碍市场拓展的因素。
借助总体基因体学,识别并检测到了导致 COVID-19 的 SARS-CoV-2。研究人员利用宏基因组分析来追踪突变、发现新病毒株并了解病毒的传播。总体基因体学对于製造疫苗很有用,因为它揭示了病毒的基因组成。科学家们正在利用这些知识,透过更好地了解病毒如何随时间变化并开发免疫接种来提高疫苗的有效性。
套件和试剂部分预计将在预测期内成为最大的部分
套件和试剂部分预计将成为预测期内最大的部分。这些套件提供标准化的方法和试剂,以确保实验过程的一致性和重现性。这减少了实验和研究之间的差异。这些套件效果更好,因为它们是针对特定样本类型和定序平台量身定制的。许多零件专为困难样品而设计,可提高 DNA产量和纯度。
预测期内,鸟枪定序领域预估复合年增长率最高
预计鸟枪测序产业在预测期内将经历最高的复合年增长率。鸟枪法定序是公平的,因为它不需要事先了解样本中存在的物种。因为它捕获了所有遗传资讯,所以可以发现新的和意想不到的物种。它有助于为更有针对性的研究提出假设。透过识别群落的遗传潜力,研究人员可以专注于感兴趣的特定基因和途径进行详细研究。
预计北美在预测期内将占据最大的市场占有率。在这些栖息地中,透过总体基因体学对遗传多样性进行广泛分析有助于了解存在的各种生物体。该地区处于技术进步的前沿。定序和计算技术的技术发展允许对复杂的微生物种群进行更深入的探索和理解,从而促进了宏基因组研究。
预计亚太地区在预测期内将维持最高的复合年增长率。在中国、印度和日本等国家,调查土壤健康、发现对农业有用的微生物以及解决河流和海洋污染等环境问题,都透过总体基因体学的使用而得到促进。总体基因体学在了解人口稠密的大都会圈发现的微生物群落、促进疾病监测和检查人类微生物组的多样性方面发挥着重要作用。
According to Stratistics MRC, the Global Metagenomics Market is accounted for $2.0 billion in 2023 and is expected to reach $6.5 billion by 2030 growing at a CAGR of 18.5% during the forecast period. The study of genetic material extracted from environmental samples is known as metagenomics. To investigate genes and microbial pathways, the research is characterized as a tool for the microbial community. It offers a strong lens with the capacity to comprehend the entirety of the living universe. Researchers may now access a wide range of microbial variety and gain a better grasp of the microbial ecology thanks to technology.
According to a report from the National Human Genome Research Institute as of July 2017, approximately 743 terabytes (743,000 gigabytes) of data are generated during the sequencing of a single human genome, compared to 16.2 gigabytes at the beginning of the human genome project in 2001.
Metagenomics has gained traction in clinical settings for disease diagnostics, personalized medicine, and understanding the human microbiome's role in health and disease. It allows for comprehensive analysis of microbial communities, aiding in disease identification, treatment optimization, and drug development. These biomarkers could potentially serve as diagnostic indicators or therapeutic targets for various conditions. These are the factors propelling the growth of the market.
The management of sensitive information raises ethical and privacy concerns that must be addressed, particularly with relation to the use of human microbiome data. Furthermore, regional differences in the laws governing the use of genetic and microbiological data have an effect on commercialization and research initiatives. Furthermore, managing, preserving, and deciphering this data might be difficult and call for specific knowledge, which could further impede the market's expansion.
Growing apprehension about the effects of microbiomes on agriculture, human health, and the environment has resulted in more financing and research projects. The area of metagenomics is developing quickly due to ongoing advances in technology and analytical techniques. The understanding of microbial communities is always growing as a result of new findings and insights. The market for metagenomics research is growing as a result of increased funding from governmental bodies, academic institutions, and commercial businesses.
The high expense of data analysis, computer resources, and sequencing technology is a major hurdle that prevents smaller research organizations or businesses with tighter budgets from using them. Metagenomic investigations create enormous amounts of data, which calls for advanced computing infrastructure and bioinformatics knowledge. One of the challenges in evaluating various microbial communities is their complexity. This is the element impeding the market's expansion.
us that causes COVID-19, SARS-CoV-2, has been identified and detected thanks in large part to metagenomics. Metagenomic sequencing has been utilized by researchers to track mutations, find new strains, and comprehend the virus's dissemination. Because it sheds light on the virus's genetic composition, metagenomics has aided in the creation of vaccines. Scientists have used this knowledge to better understand how the virus could change over time and develop vaccinations, which has improved vaccine effectiveness.
The kits & reagents segment is expected to be the largest during the forecast period. Standardized methods and reagents are provided by these kits, guaranteeing uniformity and repeatability in experimental processes. This lessens variation across experiments and amongst researchers. These kits work better because they are tailored for particular kinds of samples or sequencing platforms. They frequently have parts designed specifically for difficult sample kinds, enhancing DNA yield and purity.
The shotgun sequencing segment is expected to have the highest CAGR during the forecast period. Without requiring prior knowledge of the species present in the sample, shotgun sequencing is impartial. Since it captures all genetic information, new and unexpected species can be found. It helps to produce hypotheses for more focused research. Researchers might concentrate on particular genes or pathways of interest for in-depth studies by identifying a community's genetic potential.
North America is projected to hold the largest market share during the forecast period. Understanding the wide variety of organisms present is made easier by the extensive analysis of genetic diversity provided by metagenomics in these habitats. The area is leading the way in technical advancements. Technological developments in sequencing and computational techniques facilitate metagenomic research by enabling deeper examination and comprehension of intricate microbial populations.
Asia Pacific is projected to hold the highest CAGR over the forecast period. Researching soil health, discovering useful microbes for agriculture, and addressing environmental issues like pollution in rivers and seas in nations such as China, India, and Japan are all made easier by the use of metagenomics. Metagenomics plays a crucial role in comprehending the microbial communities found in highly populated metropolitan regions, facilitating disease surveillance, and examining the variety of the human microbiome.
Some of the key players in Metagenomics market include Agilent Technologies, BGI Group, Bio-Rad Laboratories, Eurofins Scientific, F. Hoffmann-La Roche Ltd., Illumina, Inc., IntegraGen, Merck KGaA, Novogene Co., Ltd., Oxford Nanopore Technologies, PerkinElmer, Inc., Promega Corporation, Qiagen, Takara Bio, Inc., Thermo Fisher Scientific, Inc. and Trivitron Healthcare Pvt. Ltd.
In September 2022, Illumina, Inc. (US) launched the NovaSeq X series production-scale sequencers, which are capable of generating more than 20,000 whole genomes per year (which is 2.5 times the throughput of prior sequencers from Illumina).
In September 2021, Thermo Fisher Scientific, Inc. (US) and AstraZeneca(UK) co-developed an NGS-based companion diagnostic. The collaboration was focused on commercializing NGS-based diagnostics in Russia.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.