![]() |
市场调查报告书
商品编码
1856966
全球单细胞定序市场:预测至2032年-依产品、细胞类型、工作流程、技术、应用、最终使用者和地区进行分析Single Cell Sequencing Market Forecasts to 2032 - Global Analysis By Product (Instruments, Reagents & Consumables, Software & Services and Other Products), Cell Type, Workflow, Technology, Application, End User and By Geography |
||||||
根据 Stratistics MRC 的数据,预计到 2025 年,全球单细胞定序市场规模将达到 21 亿美元,到 2032 年将达到 54 亿美元,预测期内复合年增长率为 14.2%。
单细胞定序是一种先进的基因组学技术,用于分析单一细胞的遗传物质,从而深入了解细胞多样性、基因表现和功能。与传统的批量定序(对多个细胞的讯号进行平均)不同,单细胞定序能够捕捉单一细胞层级的变化,揭示组织和复杂生物系统内部的异质性。此技术分离单一细胞,扩增其核酸,并对其DNA或RNA进行定序,以研究其基因组、转录组和表观基因组特征。它在理解发育生物学、癌症演变、免疫反应和神经系统疾病方面发挥关键作用,并推动了精准医疗和标靶治疗的发展。
精准医疗、肿瘤学和免疫学领域的需求日益增长
科学家正利用单细胞平台揭示细胞异质性、识别稀有细胞群,并绘製癌症和自体免疫疾病中的免疫反应图谱。与空间转录组学和多组体学工具的整合正在提高解析度和生物学洞察力。製药公司正利用单细胞数据优化药物标靶和生物标记的发现。这些能力正在推动个人化医疗和转化研究领域的创新。
数据分析的复杂性与生物资讯瓶颈
高维度资料集需要先进的计算工具和专业人员进行预处理、标准化和解读。缺乏标准化的流程和註释框架阻碍了研究结果的可重复性和可比性。大规模实验的储存和处理成本仍然很高。小型实验室和医院在将单细胞工作流程整合到现有基础设施时面临许多挑战。这些限制阻碍了营运效率和平台应用。
增加研究经费和政府支持
国家基因组学计画和癌症登月计画正将资源投入单细胞平台,用于疾病定位和治疗方法研发。官民合作关係正在支持学术界和临床网路之间的工具开发、培训和数据共用。对开放原始码生物资讯学和云端基础分析平台的投资正在提高其可近性和可扩展性。这些趋势正在推动基础科学、诊断和药物研发的长期发展。
缺乏标准化和可重复性
样本製备、文库建构和定序深度的差异会导致结果不一致。缺乏通用基准或参考资料集使得跨平台比较变得复杂。可重复性方面的挑战会延缓监管机构的批准和临床转化。日誌和科学研究津贴机构正在加强对数据品质和透明度的审查。这些风险持续阻碍高影响力应用领域的可靠性和后续效用。
疫情加速了人们对单细胞定序的兴趣,研究人员希望藉此了解免疫反应和病毒致病机制。单细胞平台被用于分析新冠肺炎患者样本,并识别与疾病严重程度和康復相关的免疫特征。公共和私人机构对感染疾病研究和免疫学的投资激增。由于实验室持续关闭,远端协作和云端基础的分析工具已广泛应用。疫情后的策略已将单细胞定序纳入长期应对和生物医学创新策略。这种转变正在加速单细胞定序融入临床和转化工作流程。
预计在预测期内,设备板块将是最大的板块。
由于仪器设备在单细胞工作流程中发挥至关重要的作用,包括样本分离、文库建构和定序,预计在预测期内,仪器设备领域将占据最大的市场份额。微射流、液滴系统和雷射捕获技术等平台正在学术和商业实验室中广泛应用。供应商提供支援多体学和空间整合的模组化仪器。肿瘤学、神经病学、干细胞研究等领域对高通量、低起始量系统的需求日益增长。这些优势正在巩固仪器设备领域在全球定序基础设施中的主导地位。
预计下游数据分析领域在预测期内将实现最高的复合年增长率。
预计在预测期内,下游数据分析领域将迎来最高的成长率,因为研究人员正在寻求从高维度单细胞数据集中获得可扩展且可解释的见解。生物资讯平台能够实现跨细胞群体的丛集、基因位点推论和差异表达分析。与机器学习和云端运算的整合正在提高速度和可重复性。供应商正在为非专业用户推出用户友好的介面和自动化流程。多中心研究和转化专案正在推动对即时协作分析的需求。这些因素正在加速以数据为中心的定序应用的发展。
在预测期内,北美预计将占据最大的市场份额,这主要得益于其先进的研究基础设施、资金筹措体系和强大的供应商网路。美国的研究机构正在癌症中心、学术实验室和生物技术公司部署单细胞平台。美国国立卫生研究院 (NIH) 和私人基金会正在资助大规模的细胞图谱和免疫学计划。主要仪器和软体供应商的存在正在推动创新和标准化。监管政策的明确和临床试验的整合正在推动转化应用。这些因素共同促成了北美在单细胞定序部署领域的领先地位。
预计亚太地区在预测期内将呈现最高的复合年增长率,这主要得益于基因组学投资、医疗数位化和学术扩张的融合。中国、日本、韩国和印度等国家正在肿瘤学、感染疾病和干细胞研究领域大力发展单细胞平台。政府支持的计画为机构间的基础设施建设、培训和资料共用。本地供应商正在推出价格适中的设备和云端基础的分析工具,以满足区域需求。公营和私营部门对精准诊断和个人化治疗的需求都在不断增长。这些趋势正在推动整个单细胞定序生态系的区域性发展。
According to Stratistics MRC, the Global Single Cell Sequencing Market is accounted for $2.1 billion in 2025 and is expected to reach $5.4 billion by 2032 growing at a CAGR of 14.2% during the forecast period. Single-cell sequencing is an advanced genomic technique used to analyze the genetic material of individual cells, providing detailed insights into cellular diversity, gene expression, and function. Unlike traditional bulk sequencing, which averages signals from multiple cells, single-cell sequencing captures variations at the single-cell level, revealing heterogeneity within tissues and complex biological systems. This technology involves isolating individual cells, amplifying their nucleic acids, and sequencing DNA or RNA to study genomic, transcriptomic, or epigenomic profiles. It plays a crucial role in understanding developmental biology, cancer evolution, immune responses, and neurological disorders, enabling precision medicine and targeted therapeutic advancements.
Rising demand in precision medicine, oncology & immunology
Scientists are using single-cell platforms to uncover cellular heterogeneity, identify rare cell populations, and map immune responses in cancer and autoimmune diseases. Integration with spatial transcriptomics and multi-omics tools is improving resolution and biological insight. Pharmaceutical companies are leveraging single-cell data to optimize drug targets and biomarker discovery. These capabilities are propelling innovation across personalized medicine and translational research.
Complexity of data analysis and bioinformatics bottlenecks
High-dimensional datasets require advanced computational tools and skilled personnel for preprocessing, normalization, and interpretation. Lack of standardized pipelines and annotation frameworks slows reproducibility and cross-study comparison. Storage and processing costs remain high for large-scale experiments. Smaller labs and hospitals face challenges in integrating single-cell workflows into existing infrastructure. These constraints continue to hinder operational efficiency and platform adoption.
Increasing research funding & government support
National genomics programs and cancer moonshots are allocating resources to single-cell platforms for disease mapping and therapeutic development. Public-private partnerships are supporting tool development, training, and data sharing across academic and clinical networks. Investment in open-source bioinformatics and cloud-based analysis platforms is improving accessibility and scalability. These trends are fostering long-term growth across basic science, diagnostics, and drug development.
Lack of standardization and reproducibility
Variability in sample preparation, library construction, and sequencing depth can lead to inconsistent results. Absence of universal benchmarks and reference datasets complicates cross-platform comparison. Reproducibility challenges slow regulatory acceptance and clinical translation. Journals and funding bodies are increasing scrutiny around data quality and transparency. These risks continue to hamper confidence and downstream utility in high-impact applications.
The pandemic accelerated interest in single cell sequencing as researchers sought to understand immune responses and viral pathogenesis. Single-cell platforms were used to profile COVID-19 patient samples and identify immune signatures linked to severity and recovery. Investment in infectious disease research and immunology surged across public and private sectors. Remote collaboration and cloud-based analysis tools gained traction during lab closures. Post-pandemic strategies now include single-cell sequencing as part of long-term preparedness and biomedical innovation. These shifts are accelerating integration into clinical and translational workflows.
The instruments segment is expected to be the largest during the forecast period
The instruments segment is expected to account for the largest market share during the forecast period due to their foundational role in enabling sample isolation, library preparation, and sequencing across single-cell workflows. Platforms such as microfluidics, droplet-based systems, and laser capture technologies are being adopted across academic and commercial labs. Vendors are offering modular instruments that support multi-omics and spatial integration. Demand for high-throughput, low-input systems is rising across oncology, neurology, and stem cell research. These capabilities are boosting instrument segment dominance across global sequencing infrastructure.
The downstream data analysis segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the downstream data analysis segment is predicted to witness the highest growth rate as researchers seek scalable and interpretable insights from high-dimensional single-cell datasets. Bioinformatics platforms are enabling clustering, trajectory inference, and differential expression analysis across cell populations. Integration with machine learning and cloud computing is improving speed and reproducibility. Vendors are launching user-friendly interfaces and automated pipelines for non-specialist users. Demand for real-time, collaborative analysis is rising across multi-site studies and translational programs. These dynamics are accelerating growth across data-centric sequencing applications.
During the forecast period, the North America region is expected to hold the largest market share due to its advanced research infrastructure, funding ecosystem, and vendor presence. U.S. institutions are deploying single-cell platforms across cancer centers, academic labs, and biotech firms. NIH and private foundations are funding large-scale cell atlas and immunology projects. Presence of leading instrument and software vendors is driving innovation and standardization. Regulatory clarity and clinical trial integration are supporting translational adoption. These factors are boosting North America's leadership in single-cell sequencing deployment.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR as genomics investment, healthcare digitization, and academic expansion converge. Countries like China, Japan, South Korea, and India are scaling single-cell platforms across oncology, infectious disease, and stem cell research. Government-backed programs are supporting infrastructure, training, and data sharing across institutions. Local vendors are launching affordable instruments and cloud-based analysis tools tailored to regional needs. Demand for precision diagnostics and personalized therapies is rising across public and private sectors. These trends are accelerating regional growth across single-cell sequencing ecosystems.
Key players in the market
Some of the key players in Single Cell Sequencing Market include 10x Genomics, Illumina, Thermo Fisher Scientific, QIAGEN, Fluidigm, Takara Bio, Bio-Rad Laboratories, Roche, BGI Group / Complete Genomics, Parse Biosciences, Singleron Biotechnologies, Mission Bio, STRATEC SE and Agilent Technologies.
In April 2025, 10x Genomics introduced new enhancements to its Chromium and Visium platforms, supporting multi-omic single-cell analysis. These upgrades enabled researchers to simultaneously profile gene expression, epigenetic markers, and spatial context, improving resolution and throughput for oncology, immunology, and neuroscience applications.
In August 2024, Illumina announced a new research partnership with the Broad Institute of MIT and Harvard to accelerate single-cell sequencing applications. The collaboration focuses on multiomics integration, enabling researchers to combine transcriptomic, epigenomic, and spatial data for deeper insights into cell function and disease mechanisms.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.