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市场调查报告书
商品编码
1636712
2030 年单细胞分析转录组学市场预测:按产品类型、样本类型、工作流程阶段、技术、应用、最终用户和地区进行的全球分析Single-Cell Analysis Transcriptomics Market Forecasts to 2030 - Global Analysis By Product, Analysis Type, Sample Type, Workflow Stage, Technology, Application, End User and By Geography |
根据 Stratistics MRC 的数据,全球单细胞分析转录组学市场预计在 2024 年达到 52.2 亿美元,到 2030 年将达到 160.1 亿美元,预测期内的复合年增长率为 20.5%。
单细胞转录组学是在单一细胞层级研究基因表现的前沿方法。这使得发现稀有细胞类型、细胞状态和分化等动态过程成为可能。各种技术使研究人员能够揭示有关发展、疾病机制和治疗目标的关键见解,为在单细胞分辨率下理解复杂的生物系统提供了前所未有的精确度。
美国癌症协会报告称,预计 2022 年美国将诊断出 190 万例新癌症病例,609,360 人死于癌症。
精准医疗需求不断成长
由于精准医疗专注于根据个别基因和分子特征制定个人化治疗方案,单细胞转录组学可以提供有关细胞异质性的关键见解,使研究人员能够了解疾病在细胞层面的表现方式。透过分析单细胞分辨率的基因表现,该技术有助于识别稀有细胞群、疾病生物标记和治疗靶点,以推进个人化治疗策略。肿瘤学、免疫学和罕见疾病领域的应用将确保更准确的诊断和治疗方案,从而增加医疗保健领域的需求。
资料分析的复杂性
单细胞转录组学资料分析的复杂性源于产生的大量资料,其解释需要先进的计算方法。细胞间的变异、脱落事件和噪音进一步使这个过程变得复杂。研究人员必须处理不同样本的资料整合、丛集和解释,这需要高级生物资讯学专业知识。对专门工具和强大的计算基础设施的需求增加了挑战。这些复杂性减缓了单细胞技术的广泛应用。
增加基因组学研究的投资
政府、私人实体和创业投资的不断增加的资金正在支持成本更低、更准确和可扩展的单细胞技术的开发。这项投资将使人们更深入了解基因表现、分化和疾病机制等复杂的生物过程。这将加速单细胞转录组学在癌症研究、免疫学和再生医学等不同领域的应用。此外,它将促进研究机构、生物技术公司和受託研究机构之间的合作,以进一步促进市场成长和应用。
道德问题
单细胞转录组学中的伦理问题主要源自于人体组织的使用,特别是在涉及遗传疾病、癌症和生殖医学等敏感情况的研究中。同意、隐私以及基因资料的潜在滥用等议题都已列入监管议程。此外,个人和可识别资料的处理存在道德复杂性,引发了对资料安全的担忧。这些因素可能会增加获得伦理核准所需的成本和时间、限制研究范围以及阻碍研究机构和行业相关人员之间的合作,从而减缓市场成长。
COVID-19 的影响
COVID-19 大流行加速了单细胞转录组学的采用,并推动了对在细胞层面上研究病毒-宿主相互作用和免疫反应的先进工具的需求。然而,市场面临的挑战包括供应链中断、研究计划延迟以及非新冠研究资金减少。儘管存在这些挫折,但这场疫情凸显了单细胞技术在应对全球健康挑战中可以发挥的重要作用,并刺激了市场的长期成长。
预计癌症基因组学将成为预测期内最大的细分市场。
预计癌症基因组学领域将在整个预测期内占据最大的市场占有率。单细胞转录组学透过提供对肿瘤异质性、克隆进化和肿瘤微环境的无与伦比的洞察,彻底改变了癌症基因组学。这种方法将识别罕见的癌细胞亚群,追踪疾病进展,并揭示抗治疗性机制。这种精确度将提高我们对癌症生物学的理解,并为个人化、标靶治疗介入铺平道路。
预计预测期内,受託研究机构(CRO)部门将以最高的复合年增长率成长。
预计委外研发机构(CRO)部门在预测期内将呈现最高的复合年增长率。 CRO 越来越多地利用单细胞转录组学来支持药物发现和开发。该技术将有助于识别分子标靶、了解疾病机制并在细胞层面评估药物疗效。透过提供生物资讯学专业知识和先进的平台,CRO 可确保高品质的结果并加速精准医疗的发展。
由于基因组学研究的投资不断增加、政府对医疗保健进步的倡议以及精准医疗的日益普及,预计亚太地区将在预测期内占据最大的市场占有率。中国、日本和印度等国家在扩大研究基础设施和产学研合作方面处于该地区领先地位。此外,慢性病和癌症的高发性也推动了对先进转录组学工具的需求。该地区拥有巨大的技术进步和市场扩张潜力。
由于强大的研究基础设施、先进基因组技术的广泛采用以及政府对精准医疗和基因组学的大力资助,预计北美将在预测期内实现最高的复合年增长率。在主要企业和学术机构的支持下,美国在癌症、免疫学和神经生物学领域开展了广泛的研究活动,在该地区处于领先地位。加拿大也正在加大对生物技术的投资,并且正在成为重要的贡献者。先进的生物资讯学工具和熟练的专业人员进一步推动了市场的成长。
According to Stratistics MRC, the Global Single-Cell Analysis Transcriptomics Market is accounted for $5.22 billion in 2024 and is expected to reach $16.01 billion by 2030 growing at a CAGR of 20.5% during the forecast period. Single-cell analysis transcriptomics is a cutting-edge approach to studying gene expression at the individual cell level. It enables the discovery of rare cell types, cell states, and dynamic processes such as differentiation. By using various technologies, researchers can uncover critical insights into development, disease mechanisms, and therapeutic targets, offering unprecedented precision in understanding complex biological systems at a single-cell resolution.
According to the American Cancer Society report, in 2022, there were an estimated 1.9 million new cancer cases diagnosed and 609,360 cancer deaths in the U.S.
Rising demand for precision medicine
As precision medicine focuses on tailoring treatments based on individual genetic and molecular profiles, single-cell transcriptomics provides critical insights into cellular heterogeneity, enabling researchers to understand how diseases manifest at the cellular level. By analyzing gene expression at single-cell resolution, this technology helps identify rare cell populations, disease biomarkers, and therapeutic targets, advancing personalized treatment strategies. Its application in oncology, immunology, and rare diseases further fuels the market's expansion, ensuring more accurate diagnostics and treatment options, which boosts demand in the healthcare sector.
Complexity of data analysis
The complexity of data analysis in single-cell analysis transcriptomics arises from the large volume of data generated, which requires sophisticated computational methods to interpret. Variability between cells, dropout events, and noise further complicate the process. Researchers must handle data integration, clustering, and interpretation across diverse samples, demanding advanced bioinformatics expertise. The need for specialized tools and high-performance computing infrastructure adds to the challenge. This complexity thereby slowdowns widespread adoption of single-cell technologies
Growing investments in genomics research
Increased funding from governments, private organizations, and venture capital firms supports the development of more affordable, precise, and scalable single-cell technologies. This investment enables better understanding of complex biological processes, such as gene expression, differentiation, and disease mechanisms. As a result, it accelerates the adoption of single-cell transcriptomics in diverse fields, including cancer research, immunology, and regenerative medicine. Moreover, it fosters collaborations between research institutions, biotechnology companies, and contract research organizations, further advancing the market's growth and application.
Ethical concerns
Ethical concerns in single-cell analysis transcriptomics arise mainly from the use of human tissues, especially for research involving sensitive conditions like genetic diseases, cancer, and reproductive health. Issues like consent, privacy, and the potential for misuse of genetic data create regulatory challenges. The ethical complexity of handling personal and identifiable data also raises concerns about data security. These factors can slow market growth by increasing the costs and time required to obtain ethical approvals, limit the scope of research, and deter collaboration between institutions and industry players.
Covid-19 Impact
The covid-19 pandemic accelerated the adoption of single-cell analysis transcriptomics, driving demand for advanced tools to study viral-host interactions and immune responses at cellular resolution. However, the market faced challenges such as disrupted supply chains, delayed research projects, and reduced funding for non-covid studies. Despite these setbacks, the pandemic underscored the critical role of single-cell technologies in addressing global health challenges, fostering long-term market growth.
The cancer genomics segment is expected to be the largest during the forecast period
The cancer genomics segment is predicted to secure the largest market share throughout the forecast period. Single-cell analysis transcriptomics is revolutionizing cancer genomics by providing unparalleled insights into tumor heterogeneity, clonal evolution, and the tumor microenvironment. This approach identifies rare cancer cell subpopulations, tracks disease progression, and uncovers mechanisms of therapy resistance. This precision enhances understanding of cancer biology, paving the way for personalized and targeted therapeutic interventions.
The contract research organizations (CROs) segment is expected to have the highest CAGR during the forecast period
The contract research organizations (CROs) segment is anticipated to witness the highest CAGR during the forecast period. CROs are increasingly leveraging single-cell analysis transcriptomics to support drug discovery and development. This technology aids in identifying molecular targets, understanding disease mechanisms, and evaluating drug efficacy at a cellular resolution. By offering expertise in bioinformatics and advanced platforms, CROs ensure high-quality results, facilitating the development of precision medicines.
Asia Pacific is expected to register the largest market share during the forecast period fuelled by increasing investments in genomics research, government initiatives to advance healthcare, and the rising adoption of precision medicine. Countries like China, Japan, and India are leading the region with growing research infrastructure and collaborations between academia and industry. Additionally, the high prevalence of chronic diseases and cancer drives the demand for advanced transcriptomic tools. The region presents immense potential for technological advancements and market expansion.
North America is expected to witness the highest CAGR over the forecast period driven by robust research infrastructure, high adoption of advanced genomic technologies, and strong government funding for precision medicine and genomics. The U.S. leads the region with extensive research activities in cancer, immunology, and neurobiology, supported by key players and academic institutions. Canada is also emerging as a significant contributor with growing investments in biotechnology. The presence of advanced bioinformatics tools and skilled professionals further accelerates market growth.
Key players in the market
Some of the key players profiled in the Single-Cell Analysis Transcriptomics Market include Thermo Fisher Scientific, Bio-Rad Laboratories, Becton, Dickinson and Company, QIAGEN N.V., Illumina Inc., PerkinElmer Inc., Agilent Technologies, Pacific Biosciences, Sartorius AG, Promega Corporation, Luminex Corporation, Merck KGaA, Zephyrus Biosciences, Miltenyi Biotec, Oxford Nanopore Technologies, Novogene Corporation, Fluidigm Corporation, Cell Signaling Technology Inc., 10x Genomics and NanoString Technologies.
In October 2024, Cell Signaling Technology (CST) has announced the launch of InTraSeq(TM) Single Cell Analysis Reagents, a reliable, efficient and convenient way to simultaneously detect and study intracellular proteins and the transcriptome in a single-cell experiment, while guaranteeing a robust RNA signal.
In June 2024, Bio-Rad Laboratories, Inc. launched the ddSEQTM Single-Cell 3' RNA-Seq Kit and complementary Omnition v1.1 analysis software for single-cell transcriptome and gene expression research. Designed to be run on Bio-Rad's droplet-based single-cell isolation system, the ddSEQ Cell Isolator, the ddSEQ Single-Cell 3' RNA-Seq Kit delivers high-quality single-cell 3' RNA-Seq libraries in a fast, efficient, and affordable workflow, allowing researchers to easily conduct single-cell gene expression and regulation analyses.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.