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市場調查報告書
商品編碼
1856966
全球單細胞定序市場:預測至2032年-依產品、細胞類型、工作流程、技術、應用、最終使用者和地區進行分析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 |
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根據 Stratistics MRC 的數據,預計到 2025 年,全球單細胞定序市場規模將達到 21 億美元,到 2032 年將達到 54 億美元,預測期內複合年成長率為 14.2%。
單細胞定序是一種先進的基因組學技術,用於分析單一細胞的遺傳物質,從而深入了解細胞多樣性、基因表現和功能。與傳統的批量定序(對多個細胞的訊號進行平均)不同,單細胞定序能夠捕捉單一細胞層級的變化,揭示組織和複雜生物系統內部的異質性。此技術分離單一細胞,擴增其核酸,並對其DNA或RNA進行定序,以研究其基因組、轉錄組和表觀基因組特徵。它在理解發育生物學、癌症演變、免疫反應和神經系統疾病方面發揮關鍵作用,並推動了精準醫療和標靶治療的發展。
精準醫療、腫瘤學和免疫學領域的需求日益成長
科學家正利用單細胞平台揭示細胞異質性、識別稀有細胞群,並繪製癌症和自體免疫疾病中的免疫反應圖譜。與空間轉錄組學和多組體學工具的整合正在提高解析度和生物學洞察力。製藥公司正利用單細胞數據最佳化藥物標靶和生物標記的發現。這些能力正在推動個人化醫療和轉化研究領域的創新。
數據分析的複雜性與生物資訊瓶頸
高維度資料集需要先進的計算工具和專業人員進行預處理、標準化和解讀。缺乏標準化的流程和註釋框架阻礙了研究結果的可重複性和可比性。大規模實驗的儲存和處理成本仍然很高。小型實驗室和醫院在將單細胞工作流程整合到現有基礎設施時面臨許多挑戰。這些限制阻礙了營運效率和平台應用。
增加研究經費和政府支持
國家基因組學計畫和癌症登月計畫正將資源投入單細胞平台,用於疾病定位和治療方法研發。官民合作關係正在支持學術界和臨床網路之間的工具開發、培訓和數據共用。對開放原始碼生物資訊學和雲端基礎分析平台的投資正在提高其可近性和可擴展性。這些趨勢正在推動基礎科學、診斷和藥物研發的長期發展。
缺乏標準化和可重複性
樣本製備、文庫建構和定序深度的差異會導致結果不一致。缺乏通用基準或參考資料集使得跨平台比較變得複雜。可重複性方面的挑戰會延緩監管機構的批准和臨床轉化。日誌和科學研究津貼機構正在加強對數據品質和透明度的審查。這些風險持續阻礙高影響力應用領域的可靠性和後續效用。
疫情加速了人們對單細胞定序的興趣,研究人員希望藉此了解免疫反應和病毒致病機制。單細胞平台被用於分析新冠肺炎患者樣本,並識別與疾病嚴重程度和康復相關的免疫特徵。公共和私人機構對感染疾病研究和免疫學的投資激增。由於實驗室持續關閉,遠端協作和雲端基礎的分析工具已廣泛應用。疫情後的策略已將單細胞定序納入長期應對和生物醫學創新策略。這種轉變正在加速單細胞定序融入臨床和轉化工作流程。
預計在預測期內,設備板塊將是最大的板塊。
由於儀器設備在單細胞工作流程中發揮至關重要的作用,包括樣本分離、文庫建構和定序,預計在預測期內,儀器設備領域將佔據最大的市場佔有率。微射流、液滴系統和雷射捕獲技術等平台正在學術和商業實驗室中廣泛應用。供應商提供支援多體學和空間整合的模組化儀器。腫瘤學、神經病學、幹細胞研究等領域對高通量、低起始量系統的需求日益成長。這些優勢正在鞏固儀器設備領域在全球定序基礎設施中的主導地位。
預計下游數據分析領域在預測期內將實現最高的複合年成長率。
預計在預測期內,下游數據分析領域將迎來最高的成長率,因為研究人員正在尋求從高維度單細胞資料集中獲得可擴展且可解釋的見解。生物資訊平台能夠實現跨細胞群體的叢集、基因位點推論和差異表達分析。與機器學習和雲端運算的整合正在提高速度和可重複性。供應商正在為非專業用戶推出方便用戶使用的介面和自動化流程。多中心研究和轉化專案正在推動對即時協作分析的需求。這些因素正在加速以數據為中心的定序應用的發展。
在預測期內,北美預計將佔據最大的市場佔有率,這主要得益於其先進的研究基礎設施、資金籌措體系和強大的供應商網路。美國的研究機構正在癌症中心、學術實驗室和生物技術公司部署單細胞平台。美國國立衛生研究院 (NIH) 和私人基金會正在資助大規模的細胞圖譜和免疫學計劃。主要儀器和軟體供應商的存在正在推動創新和標準化。監管政策的明確和臨床試驗的整合正在推動轉化應用。這些因素共同促成了北美在單細胞定序部署領域的領先地位。
預計亞太地區在預測期內將呈現最高的複合年成長率,這主要得益於基因組學投資、醫療數位化和學術擴張的融合。中國、日本、韓國和印度等國家正在腫瘤學、感染疾病和幹細胞研究領域大力發展單細胞平台。政府支持的計畫為機構間的基礎設施建設、培訓和資料共用。本地供應商正在推出價格適中的設備和雲端基礎的分析工具,以滿足區域需求。公營和私營部門對精準診斷和個人化治療的需求都在不斷成長。這些趨勢正在推動整個單細胞定序生態系的區域性發展。
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.