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商品編碼
2024191

單細胞基因組學市場：按分析物、產品、工作流程、使用者、應用和國家/地區分類的預測 - 高階主管指南、顧問指南以及人工智慧 (AI) 的影響 (2026–2030)

Single Cell Genomics Markets. Forecasts by Analyte, Product, Workflow, User, Application and Country. With Executive and Consultant Guides and Impact of Artificial Intelligence. 2026 to 2030
出版日期: | 出版商: Howe Sound Research | 英文 315 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

市場概況：

單細胞定序是指一系列基因組學技術，用於分析單一細胞層級的DNA、RNA、表觀遺傳標記或其他分子特徵。與測量大規模細胞平均訊號的傳統批量定序方法不同，單細胞定序使研究人員能夠識別細胞異質性，並檢測可能在疾病發展和治療反應中發揮關鍵作用的稀有細胞群。這項能力使單細胞定序成為現代基因組學和分子生物學領域最重要的技術進步之一。

近年來，受學術研究、藥物研發和新興臨床應用領域日益廣泛的採用所推動，全球單細胞定序市場發展迅速。目前，該市場規模估計為每年47億美元，預計到2030年將以16.5%的複合年成長率成長。科技的持續進步和精準醫療領域應用的不斷拓展有望支撐其長期強勁成長。

單細胞定序在細胞多樣性至關重要的研究領域中特別有用，例如腫瘤學、免疫學、神經科學、幹細胞生物學、發育生物學和感染疾病研究。透過分析單一細胞，研究人員可以更深入地了解複雜的生物系統，並識別與疾病進展、治療抗藥性或免疫反應相關的細胞亞群。

技術概述

在單細胞定序工作流程中，通常會先分離單一細胞，擴增其遺傳物質，然後定序。由於單一細胞中DNA和RNA的含量極低，因此需要專門的擴增技術才能獲得足夠的材料進行定序分析。

單細胞定序工作流程中會用到多種細胞分離技術。微流體技術利用微流控通道將單一細胞分離到獨立的反應室。液滴技術將單一細胞封裝在微小液滴中，從而實現對數千個細胞的高通量同時處理。螢光活化細胞分選（FACS）技術則根據特定的表面標誌物或螢光特性分離細胞。

細胞分離後，利用次世代定序（NGS）平台擴增核酸並定序。然後使用生物資訊工具分析定序數據，以識別基因表現模式、遺傳變異或表觀遺傳修飾。

單細胞RNA定序（scRNA-seq）是應用最廣泛的技術之一，能夠分析單一細胞中的基因表現模式。單細胞DNA定序（scDNA-seq）能夠檢測基因組變異，例如拷貝數變化和突變。單細胞表觀基因定序則分析染色質可及性和DNA甲基化模式。

空間轉錄組學技術正在成為一種補充方法，它保留了有關細胞在組織內位置的信息，從而進一步揭示了組織結構和細胞間相互作用。

主要應用領域

單細胞定序廣泛應用於腫瘤學研究，以揭示腫瘤異質性並識別與轉移和抗藥性相關的細胞群。腫瘤通常包含多種細胞群，每種細胞群都有獨特的遺傳和分子特徵。單細胞技術使研究人員能夠表徵這些亞群並識別潛在的治療標靶。

在免疫學領域，單細胞定序被用於分析免疫細胞群，並闡明身體對感染疾病和癌症的免疫反應。了解免疫細胞的多樣性對於免疫療法和疫苗的研發至關重要。

在幹細胞研究中，單細胞定序對於研究細胞分化途徑和發育過程至關重要。單細胞分析能夠辨識中間細胞狀態以及控制細胞命運的調控機制。

神經科學研究人員正在利用單細胞定序來識別神經細胞類型並研究神經系統疾病。

此外，在藥物發現領域，單細胞定序用於評估細胞對候選治療藥物的反應，並識別與治療反應相關的生物標記。

潛在的新臨床應用包括癌症診斷、罕見疾病研究以及細胞和基因治療產品的監測。

市場促進因素

推動單細胞定序市場成長的因素有很多。

精準醫療方法的日益普及，催生了對能夠以高解析度分析生物變異的技術的需求。

製藥公司正在利用單細胞定序來支持其藥物發現和開發項目。

微流體、定序化學和生物資訊學的技術進步提高了工作流程效率，降低了每次實驗的成本。

基因組學和細胞生物學研究經費的增加正在推動先進定序技術的應用。

細胞療法和基因療法研究的不斷深入，對高解析度細胞表徵工具的需求也日益成長。

多體學技術的進步使得在單細胞層級同時分析多個分子特徵成為可能。

市場區隔

單細胞定序市場可以按技術類型、應用領域、最終用戶和地區進行細分。

從技術角度來看，單細胞RNA定序是最大的細分領域之一，因為它在基因表現研究中得到了廣泛應用。其他細分領域包括單細胞DNA定序、單細胞表觀基因定序和空間轉錄組學。

就應用領域而言，腫瘤學是最大的應用領域之一，因為腫瘤異質性在癌症研究中至關重要。其他重要的應用領域包括免疫學、神經科學、幹細胞生物學和發育生物學。

最終用戶包括學術研究機構、生物技術公司、製藥公司和受託研究機構。

北美是最大的區域市場，這得歸功於其充裕的研究經費和完善的基因組分析基礎設施。此外，隨著生物技術研究投資的增加，歐洲和亞太地區的市場也不斷擴大。

競爭格局

單細胞定序市場包括儀器製造商、試劑供應商、微流體技術開發商和生物資訊軟體供應商。

競爭的驅動力在於吞吐量、靈敏度、成本效益和數據分析能力的提升。

各公司正擴大提供將樣品製備技術、定序平台和生物資訊學工具相結合的整合工作流程。

鑑於單細胞分析在藥物發現中的重要性，基因組學公司與製藥公司之間的策略合作十分常見。

與微流體技術和定序化學相關的智慧財產權是一個重要的競爭因素。

未來展望

隨著技術進步和新應用的湧現，單細胞定序市場預計將持續擴張。多組體學整合和空間生物學的進步有望加深我們對細胞間相互作用和疾病機制的理解。

工作流程自動化可以降低技術複雜性，並有可能加速其在研究實驗室和臨床檢查室的應用。

人工智慧（AI）工具有望提高對複雜單細胞資料集的解讀能力。

隨著臨床應用的擴展，對標準化工作流程和法律規範的需求可能會越來越大。

總體而言，單細胞定序是基因組學市場中一個快速發展的領域，能夠為理解生物複雜性和疾病機制提供關鍵資訊。定序技術、生物資訊學工具和多體學方法的持續進步有望支撐該市場的持續成長。

目錄

第1章 市集指南

  • 情境分析
  • 高階主管和行銷負責人的指南
  • 投資分析師和管理顧問指南
  • 人工智慧的影響

第2章：引言與市場定義

  • 什麼是單細胞基因體學？
  • SCG——一切才剛開始
  • 市場定義
  • 調查方法
  • 基因組大小——並非您想像的那樣

第3章：單細胞基因體學—技術指南

  • 單細胞分離
  • 放大
  • PCR
  • NGS
  • 微陣列
  • 數位空間剖析（DSP）技術

第4章 行業概覽

  • 參與企業充滿活力的市場
    • 學術研究辦公室
    • 診斷測試開發人員
    • 測量儀器供應商
    • 化學品/試劑供應商
    • 病理檢測用品供應商
    • 獨立臨床實驗室
    • 國家/地區公共研究機構
    • 醫院檢查室
    • 醫師診所檢查室(POLS)
    • 審計機構
    • 認證機構

第5章 市場趨勢

  • 成長促進因素
  • 成長阻礙因素
  • 技術發展
  • 測量儀器、自動化和診斷技術的發展趨勢

第6章：單細胞基因體學的最新進展

第7章：主要單細胞基因體學公司簡介

  • 10x Genomics, Inc.
  • Admera Health, LLC
  • Agilent
  • Beckman Coulter Diagnostics（Danaher）
  • Becton, Dickinson and Company
  • Berkley Lights
  • BGI Genomics Co. Ltd
  • BioGenex
  • Bio-Rad Laboratories, Inc
  • BioSkryb Genomics
  • Bitbiome
  • Bruker
  • Cell Microsystems
  • Cellenion（BICO）
  • CellSorter
  • Cytek Biosciences
  • Cytena
  • Deepcell
  • Dolomite Bio（Unchained Labs）
  • Element Biosciences
  • Epic Sciences
  • Fluent Biosciences
  • Fluxion Biosciences（Cell Microsystems）
  • Honeycomb Biotechnologies
  • Illumina
  • Incell Dx
  • Leica Biosystems
  • Menarini Silicon Biosystems
  • MGI
  • Miltenyi Biotec
  • Mission Bio
  • Myllia Biotechnology
  • Namocell
  • NanoCellect Biotechnology
  • Nanostring
  • New England Biolabs, Inc.
  • Novogene
  • Oxford Nanopore Technologies
  • Pacific Biosciences
  • Parse Biosciences
  • Partek
  • Qiagen
  • Revvity
  • Roche Diagnostics
  • S2 Genomics
  • Scale Biosciences
  • Singleron Biotechnologies
  • Singular Genomics
  • Singulomics
  • Sony Biotechnology
  • Standard BioTools
  • Stemcell Technologies
  • Takara Bio
  • Thermo Fisher Scientific
  • Ultima Genomics
  • Vizgen
  • Watchmaker Genomics

第8章：全球單細胞基因體學市場規模

  • 全球各國市場概覽
  • 全球分析物質市場規模概述
  • 全球市場概覽（按產品類別分類）
  • 全球市場概覽（依工作流程分類）
  • 終端用戶市場概覽
  • 全球市場概覽（按應用領域分類）

第9章 全球分析物質市場

  • DNA市場
  • RNA市場
  • 表觀遺傳市場
  • 蛋白質體學市場
  • 多組體學市場
  • 其他

第10章：單細胞基因體學市場（依產品分類）

  • 設備市場
  • 試劑市場
  • 軟體及其他市場

第11章：依工作流程分類的單細胞基因體學市場

  • 細胞分離市場
  • 樣品製備市場
  • 基因組分析市場

第12章：依最終用戶分類的單細胞基因體學市場

  • 研究市場
  • 生物製藥市場
  • 臨床市場
  • 其他

第13章 按應用分類的全球市場

  • 腫瘤市場
  • 免疫學市場
  • 微生物市場
  • 細胞市場
  • 幹細胞市場
  • 神經病學市場
  • 其他

第14章附錄

表格一覽

圖表清單

簡介目錄
Product Code: GENSING 426

Market Overview:

Single cell sequencing refers to a group of genomic technologies that analyze DNA, RNA, epigenetic markers, or other molecular features at the level of individual cells. Unlike traditional bulk sequencing methods, which measure averaged signals across large cell populations, single cell sequencing enables researchers to identify cellular heterogeneity and detect rare cell populations that may play critical roles in disease development and therapeutic response. This capability has made single cell sequencing one of the most important technological advances in modern genomics and molecular biology.

The global single cell sequencing market has grown rapidly in recent years due to increasing adoption in academic research, pharmaceutical development, and emerging clinical applications. The market is currently estimated to be USD 4.7 billion annually, with projected compound annual growth rates of 16.5% to 2030. Continued technological advances and expanding applications in precision medicine are expected to support strong long-term growth.

Single cell sequencing is particularly valuable in research areas where cellular diversity plays an important role, including oncology, immunology, neuroscience, stem cell biology, developmental biology, and infectious disease research. By enabling analysis of individual cells, researchers can better understand complex biological systems and identify cellular subpopulations associated with disease progression, therapeutic resistance, or immune response.

Technology Overview

Single cell sequencing workflows typically involve isolation of individual cells followed by amplification and sequencing of genetic material. Because individual cells contain extremely small amounts of DNA or RNA, specialized amplification techniques are required to generate sufficient material for sequencing analysis.

Several cell isolation approaches are used in single cell sequencing workflows. Microfluidics-based technologies use miniature fluid channels to isolate individual cells into separate reaction chambers. Droplet-based technologies encapsulate individual cells within microscopic droplets, enabling high-throughput processing of thousands of cells simultaneously. Fluorescence-activated cell sorting (FACS) technologies separate cells based on specific surface markers or fluorescence characteristics.

Following cell isolation, nucleic acids are amplified and sequenced using next-generation sequencing (NGS) platforms. Bioinformatics tools are then used to analyze sequencing data and identify gene expression patterns, genetic variants, or epigenetic modifications.

Single cell RNA sequencing (scRNA-seq) represents one of the most widely used approaches, enabling analysis of gene expression patterns across individual cells. Single cell DNA sequencing (scDNA-seq) allows detection of genomic variations such as copy number changes or mutations. Single cell epigenomic sequencing methods analyze chromatin accessibility and DNA methylation patterns.

Spatial transcriptomics technologies are emerging as complementary approaches that preserve information about cellular location within tissues, providing additional insight into tissue organization and cell-cell interactions.

Key Applications

Single cell sequencing is widely used in oncology research to understand tumor heterogeneity and identify cell populations associated with metastasis or drug resistance. Tumors often contain diverse cell populations with distinct genetic and molecular characteristics. Single cell technologies enable researchers to characterize these subpopulations and identify potential therapeutic targets.

In immunology, single cell sequencing is used to analyze immune cell populations and characterize immune responses to infection or cancer. Understanding immune cell diversity is important for development of immunotherapies and vaccines.

Stem cell research relies heavily on single cell sequencing to study cellular differentiation pathways and developmental processes. Single cell analysis enables identification of intermediate cell states and regulatory mechanisms controlling cell fate.

Neuroscience researchers use single cell sequencing to characterize neuronal cell types and study neurological disorders.

Single cell sequencing is also used in drug discovery to evaluate cellular responses to candidate therapeutics and identify biomarkers associated with treatment response.

Emerging clinical applications include cancer diagnostics, rare disease research, and monitoring of cell and gene therapy products.

Market Drivers

Several factors are driving growth in the single cell sequencing market.

Increasing adoption of precision medicine approaches is creating demand for technologies capable of characterizing biological variation at high resolution.

Pharmaceutical companies are using single cell sequencing to support drug discovery and development programs.

Technological advances in microfluidics, sequencing chemistry, and bioinformatics have improved workflow efficiency and reduced cost per experiment.

Growing research funding in genomics and cell biology is supporting adoption of advanced sequencing technologies.

Expansion of cell therapy and gene therapy research is increasing demand for high-resolution cellular characterization tools.

Advances in multi-omics technologies are enabling simultaneous analysis of multiple molecular features at the single cell level.

Market Segmentation

The single cell sequencing market can be segmented by technology type, application area, end user, and geographic region.

By technology, single cell RNA sequencing represents one of the largest segments due to widespread use in gene expression studies. Other segments include single cell DNA sequencing, single cell epigenomic sequencing, and spatial transcriptomics.

By application, oncology represents one of the largest segments due to importance of tumor heterogeneity in cancer research. Other important application areas include immunology, neuroscience, stem cell biology, and developmental biology.

End users include academic research institutions, biotechnology companies, pharmaceutical companies, and contract research organizations.

North America represents the largest regional market due to strong research funding and advanced genomics infrastructure. Europe and Asia-Pacific markets are also expanding as investment in biotechnology research increases.

Competitive Landscape

The single cell sequencing market includes instrument manufacturers, reagent suppliers, microfluidics technology developers, and bioinformatics software providers.

Competition is driven by improvements in throughput, sensitivity, cost efficiency, and data analysis capabilities.

Companies are increasingly offering integrated workflows that combine sample preparation technologies, sequencing platforms, and bioinformatics tools.

Strategic partnerships between genomics companies and pharmaceutical firms are common due to the importance of single cell analysis in drug discovery.

Intellectual property related to microfluidics technologies and sequencing chemistry represents an important competitive factor.

Future Outlook

The single cell sequencing market is expected to continue expanding as technologies improve and new applications emerge. Advances in multi-omics integration and spatial biology are expected to improve understanding of cellular interactions and disease mechanisms.

Automation of workflows may reduce technical complexity and support broader adoption in research and clinical laboratories.

Artificial intelligence tools are expected to improve interpretation of complex single cell datasets.

Expansion of clinical applications may increase demand for standardized workflows and regulatory frameworks.

Overall, single cell sequencing represents a rapidly evolving segment of the genomics market that provides important insights into biological complexity and disease mechanisms. Continued advances in sequencing technologies, bioinformatics tools, and multi-omics approaches are expected to support sustained market growth.

Table of Contents

1 Market Guides

  • 1.1 Situation Analysis
    • 1.1.1 Strategic Importance in Life Sciences Research and Precision Medicine
    • 1.1.2 Technology Complexity and Workflow Challenges
    • 1.1.3 Cost Structure and Economic Barriers
    • 1.1.4 Data Analysis and Bioinformatics Bottlenecks
    • 1.1.5 Competitive Landscape and Technology Differentiation
    • 1.1.6 Transition from Research to Clinical Applications
    • 1.1.7 Role in Drug Discovery and Pharmaceutical Development
    • 1.1.8 Geographic Market Dynamics
    • 1.1.9 Outlook and Strategic Implications
  • 1.2 Guide for Executives and Marketing Staff
  • 1.3 Guide for Investment Analysts and Management Consultants
  • 1.4 Impact of Artificial Intelligence

2 Introduction and Market Definition

  • 2.1 What is Single Cell Genomics?
  • 2.2 SCG - Still Early Days
  • 2.3 Market Definition
    • 2.3.1 Market Size
    • 2.3.2 Currency
    • 2.3.3 Years
  • 2.4 Methodology
    • 2.4.1 Methodology
    • 2.4.2 Sources
    • 2.4.3 Authors
  • 2.5 Sizing the Genome - Not What You Think
    • 2.5.1 Cost, Price and Genome Size, Pricing Practice

3 Single Cell Genomics - Guide to Technology

  • 3.1 Isolating Single Cells
    • 3.1.1 FACS
    • 3.1.2 LCM
    • 3.1.3 Micromanipulators
    • 3.1.4 Microfluidics
  • 3.2 Amplification
    • 3.2.1 WTA - Whole Transcriptome Amplification
    • 3.2.2 WGA - Whole Genome Amplification
  • 3.3 PCR
  • 3.4 NGS
  • 3.5 Microarray
  • 3.6 Digital Spatial Profiling (DSP) Technology

4 Industry Overview

  • 4.1 Players in a Dynamic Market
    • 4.1.1 Academic Research Lab
    • 4.1.2 Diagnostic Test Developer
    • 4.1.3 Instrumentation Supplier
    • 4.1.4 Chemical/Reagent Supplier
    • 4.1.5 Pathology Supplier
    • 4.1.6 Independent Clinical Laboratory
    • 4.1.7 Public National/regional Laboratory
    • 4.1.8 Hospital Laboratory
    • 4.1.9 Physicians Office Lab (POLS)
    • 4.1.10 Audit Body
    • 4.1.11 Certification Body

5 Market Trends

  • 5.1 Factors Driving Growth
    • 5.1.1 Immuno-oncology
    • 5.1.2 Research Range
    • 5.1.3 Technology Maturity & Convergence
    • 5.1.4 Declining Costs
  • 5.2 Factors Limiting Growth
    • 5.2.1 Competition
    • 5.2.2 Instrument Integration
    • 5.2.3 Technology Shift
    • 5.2.4 Technology Limitations
  • 5.3 Technology Development
    • 5.3.1 Spatial Profiling
    • 5.3.2 Integration
    • 5.3.3 Big Data
    • 5.3.4 Kits and Commodities
  • 5.4 Instrumentation, Automation and Diagnostic Trends
    • 5.4.1 Traditional Automation and Centralization
    • 5.4.2 The New Automation, Decentralization and Point Of Care
    • 5.4.3 Instruments Key to Market Share
    • 5.4.4 Bioinformatics Plays a Role
    • 5.4.5 PCR Takes Command
    • 5.4.6 Next Generation Sequencing Fuels a Revolution
    • 5.4.7 NGS Impact on Pricing
    • 5.4.8 Whole Genome Sequencing, A Brave New World
    • 5.4.9 Companion Diagnostics Blurs Diagnosis and Treatment
    • 5.4.10 Shifting Role of Diagnostics

6 Single Cell Genomics Recent Developments

  • 6.1 Recent Developments - Importance and How to Use This Section
    • 6.1.1 Importance of These Developments
    • 6.1.2 How to Use This Section
  • 6.2 Mission Bio and Integrated DNA Technologies Partner
  • 6.3 Billion Cells Project Launched
  • 6.4 Illumina and Broad Clinical Labs rapidly scale single-cell solutions
  • 6.5 Takara Bio Acquires Curio Bioscience
  • 6.6 10x Genomics Announces New Chromium Launches
  • 6.7 '100 Million Cell Challenge' Announced
  • 6.8 Scale Biosciences announces ScalePlex to simplify single cell genomics
  • 6.9 10x Genomics Launches 5,000-Plex Gene Panel for Xenium
  • 6.10 NIH researchers develop AI drug matching tool
  • 6.11 Curio Bioscience to Transform Single-Cell Sequencing Data into Spatial Context
  • 6.12 Factorial Biotechnologies Unveils Mosaic
  • 6.13 Deepcell and NVIDIA collaborate to advance AI in single cell research
  • 6.14 OWKIN Integrates 10x Genomics Spatial Omics and Single-Cell Technologies
  • 6.15 Beckman Coulter and 10x Genomics partner
  • 6.16 MGI and Xpress Genomics to Advance Single-cell RNA-Sequencing
  • 6.17 Single-Cell Sequencing Reveals Traits in Cereal Crops
  • 6.18 Single-cell Genomics meets Human Genetics
  • 6.19 Singular Genomics Launches Kits for Single Cell Sequencing
  • 6.20 Scale Biosciences Introduces Disruptive Single-Cell Profiling Solutions
  • 6.21 Singleron showcases latest single cell sequencing technology
  • 6.22 Oxford Nanopore to Make Single-cell Sequencing Accessible to Any Laboratory
  • 6.23 Single-Cell RNA-seq Method Enables Profiling Live Cells
  • 6.24 Novogene Launches New Single-Cell Lab
  • 6.25 New DNA Atlas Provides Clues for Heart Disease Risk
  • 6.26 BioSkryb Genomics Launches ResolveOME
  • 6.27 Parse Biosciences Expands Single-Cell Product Line
  • 6.28 Massively Multiplexed Single-Cell In Situ Spatial Genomics Now in U.S. Market
  • 6.29 Pfizer Centralizes Single Cell Data on Seven Bridges System
  • 6.30 Consortium to Standardize Single-Cell Sequencing
  • 6.31 Scienion, Cellenion Enter Licensing Deal
  • 6.32 Immunai Acquires Swiss Bioinformatics Firm Nebion
  • 6.33 Startup MiCareo Targets Rare Cell Isolation Market
  • 6.34 Parse Biosciences Lowers Cost Barriers to Single-Cell Transcriptomics
  • 6.35 Deepcell Advancing Tech for Single-Cell Genomics
  • 6.36 10x Genomics Outlines 2021 Growth Plans
  • 6.37 Single-Cell Genomics Firm Analytical Biosciences Inks Deal with BioMap
  • 6.38 IsoPlexis Features Cheaper, More Flexible Single-Cell Proteomic Systems
  • 6.39 DNTR-Seq Combines WGS, Transcriptomics in Single Cells
  • 6.40 BitBiome Builds Single-Cell Bacterial Sequencing Business
  • 6.41 S2 Genomics Signs Distribution Agreements for Asia-Pacific
  • 6.42 Single-Cell COVID-19 Study Investigates Immune Hyperactivation
  • 6.43 Levitas Bio to Launch Magnetic Levitation Cell Separation Platform
  • 6.44 Single-Cell and Spatial Genomics
  • 6.45 Single-Cell Genomics
  • 6.46 Namocell, Takara Bio, HepaTx Partner on Single-Cell Genomics
  • 6.47 Vizgen Launches With $14M Series A Financing
  • 6.48 SeqWell Raises $9M in Series B Round

7 Profiles of Key Single Cell Genomics Companies

  • 7.1 10x Genomics, Inc.
  • 7.2 Admera Health, LLC
  • 7.3 Agilent
  • 7.4 Beckman Coulter Diagnostics (Danaher)
  • 7.5 Becton, Dickinson and Company
  • 7.6 Berkley Lights
  • 7.7 BGI Genomics Co. Ltd
  • 7.8 BioGenex
  • 7.9 Bio-Rad Laboratories, Inc
  • 7.10 BioSkryb Genomics
  • 7.11 Bitbiome
  • 7.12 Bruker
  • 7.13 Cell Microsystems
  • 7.14 Cellenion (BICO)
  • 7.15 CellSorter
  • 7.16 Cytek Biosciences
  • 7.17 Cytena
  • 7.18 Deepcell
  • 7.19 Dolomite Bio (Unchained Labs)
  • 7.20 Element Biosciences
  • 7.21 Epic Sciences
  • 7.22 Fluent Biosciences
  • 7.23 Fluxion Biosciences (Cell Microsystems)
  • 7.24 Honeycomb Biotechnologies
  • 7.25 Illumina
  • 7.26 Incell Dx
  • 7.27 Leica Biosystems
  • 7.28 Menarini Silicon Biosystems
  • 7.29 MGI
  • 7.30 Miltenyi Biotec
  • 7.31 Mission Bio
  • 7.32 Myllia Biotechnology
  • 7.33 Namocell
  • 7.34 NanoCellect Biotechnology
  • 7.35 Nanostring
  • 7.36 New England Biolabs, Inc.
  • 7.37 Novogene
  • 7.38 Oxford Nanopore Technologies
  • 7.39 Pacific Biosciences
  • 7.40 Parse Biosciences
  • 7.41 Partek
  • 7.42 Qiagen
  • 7.43 Revvity
  • 7.44 Roche Diagnostics
  • 7.45 S2 Genomics
  • 7.46 Scale Biosciences
  • 7.47 Singleron Biotechnologies
  • 7.48 Singular Genomics
  • 7.49 Singulomics
  • 7.50 Sony Biotechnology
  • 7.51 Standard BioTools
  • 7.52 Stemcell Technologies
  • 7.53 Takara Bio
  • 7.54 Thermo Fisher Scientific
  • 7.55 Ultima Genomics
  • 7.56 Vizgen
  • 7.57 Watchmaker Genomics

8 Single Cell Genomics Global Market Size

  • 8.1 Global Market Overview by Country
    • 8.1.1 Table - Global Market by Country
    • 8.1.2 Chart - Global Market by Country
  • 8.2 Global Market Size by Analyte - Overview
    • 8.2.1 Table - Global Market by Analyte
    • 8.2.2 Chart - Global Market by Analyte - Base/Final Year Comparison
    • 8.2.3 Chart - Global Market by Analyte - Base Year
    • 8.2.4 Chart - Global Market by Analyte - Final Year
    • 8.2.5 Chart - Global Market by Analyte - Share by Year
    • 8.2.6 Chart - Global Market by Analyte - Segment Growth
  • 8.3 Global Market by Product - Overview
    • 8.3.1 Table - Global Market by Product
    • 8.3.2 Chart - Global Market by Product - Base/Final Year Comparison
    • 8.3.3 Chart - Global Market by Product - Base Year
    • 8.3.4 Chart - Global Market by Product - Final Year
    • 8.3.5 Chart - Global Market by Product - Share by Year
    • 8.3.6 Chart - Global Market by Product - Segment Growth
  • 8.4 Global Market by Workflow - Overview
    • 8.4.1 Table - Global Market by Workflow
    • 8.4.2 Chart - Global Market by Workflow - Base/Final Year Comparison
    • 8.4.3 Chart - Global Market by Workflow - Base Year
    • 8.4.4 Chart - Global Market by Workflow - Final Year
    • 8.4.5 Chart - Global Market by Workflow - Share by Year
    • 8.4.6 Chart - Global Market by Workflow - Segment Growth
  • 8.5 Global Market by End User - Overview
    • 8.5.1 Table - Global Market by End User
    • 8.5.2 Chart - Global Market by End User - Base/Final Year Comparison
    • 8.5.3 Chart - Global Market by End User - Base Year
    • 8.5.4 Chart - Global Market by End User - Final Year
    • 8.5.5 Chart - Global Market by End User - Share by Year
    • 8.5.6 Chart - Global Market by End User - Segment Growth
  • 8.6 Global Market by Application - Overview
    • 8.6.1 Table - Global Market by Application
    • 8.6.2 Chart - Global Market by Application - Base/Final Year Comparison
    • 8.6.3 Chart - Global Market by Application - Base Year
    • 8.6.4 Chart - Global Market by Application - Final Year
    • 8.6.5 Chart - Global Market by Application - Share by Year
    • 8.6.6 Chart - Global Market by Application - Segment Growth

9 Global Market by Analyte

  • 9.1 DNA Market
    • 9.1.1 Table - DNA Market by Country
    • 9.1.2 Chart - DNA Market by Country
  • 9.2 RNA Market
    • 9.2.1 Table - RNA Market by Country
    • 9.2.2 Chart - RNA Market Growth
  • 9.3 Epigenetic Market
    • 9.3.1 Table - Epigenetic Market by Country
    • 9.3.2 Chart - Epigenetic Market Growth
  • 9.4 Proteomic Market
    • 9.4.1 Table - Proteomic Market by Country
    • 9.4.2 Chart - Proteomic Market Growth
  • 9.5 Multiomics Market
    • 9.5.1 Table - Multiomics Market by Country
    • 9.5.2 Chart - Multiomics Market Growth
  • 9.6 Other Analyte Market
    • 9.6.1 Table - Other Analyte Market by Country
    • 9.6.2 Chart - Other Analyte Market Growth

10 Single Cell Genomics Market by Product

  • 10.1 Instrument Market
    • 10.1.1 Table - Instrument Market by Country
    • 10.1.2 Chart - Instrument Market Growth
  • 10.2 Reagent Market
    • 10.2.1 Table - Reagent Market by Country
    • 10.2.2 Chart - Reagent Market Growth
  • 10.3 Software & Other Market
    • 10.3.1 Table - Software & Other Market by Country
    • 10.3.2 Chart - Software & Other Market Growth

11 Single Cell Genomics Market by Workflow

  • 11.1 Cell Isolation Market
    • 11.1.1 Table - Cell Isolation Market by Country
    • 11.1.2 Chart - Cell Isolation Market Growth
  • 11.2 Sample Preparation Market
    • 11.2.1 Table - Sample Preparation Market by Country
    • 11.2.2 Chart - Sample Preparation Market Growth
  • 11.3 Genomic Analysis Market
    • 11.3.1 Table - Genomic Analysis Market by Country
    • 11.3.2 Chart - Genomic Analysis Market Growth

12 Single Cell Genomics Market by End User

  • 12.1 Research Market
    • 12.1.1 Table - Research Market by Country
    • 12.1.2 Chart - Research Market Growth
  • 12.2 BioPharma Market
    • 12.2.1 Table - BioPharma Market by Country
    • 12.2.2 Chart - BioPharma Market Growth
  • 12.3 Clinical Market
    • 12.3.1 Table - Clinical Market by Country
    • 12.3.2 Chart - Clinical Market Growth
  • 12.4 Other End User Market
    • 12.4.1 Table - Other End User Market by Country
    • 12.4.2 Chart - Other End User Market Growth

13 Global Market by Application

  • 13.1 Oncology Market
    • 13.1.1 Table - Oncology Market by Country
    • 13.1.2 Chart - Oncology Market by Country
  • 13.2 Immunology Market
    • 13.2.1 Table - Immunology Market by Country
    • 13.2.2 Chart - Immunology Market Growth
  • 13.3 Microbiology Market
    • 13.3.1 Table - Microbiology Market by Country
    • 13.3.2 Chart - Microbiology Market Growth
  • 13.4 Cell Market
    • 13.4.1 Table - Cell Market by Country
    • 13.4.2 Chart - Cell Market Growth
  • 13.5 Stem Cell Market
    • 13.5.1 Table - Stem Cell Market by Country
    • 13.5.2 Chart - Stem Cell Market Growth
  • 13.6 Neurology Market
    • 13.6.1 Table - Neurology Market by Country
    • 13.6.2 Chart - Neurology Market Growth
  • 13.7 Other Application Market
    • 13.7.1 Table - Other Application Market by Country
    • 13.7.2 Chart - Other Application Market Growth

14 Appendices

  • 14.1 FDA Cancer Drug Approvals by Year
  • 14.2 Clinical Trials Started Historical
  • 14.3 Prevalence of Cancer Treatments

Table of Tables

  • Table 1 Cell Isolation Overview
  • Table 2 Market Players by Type
  • Table 3 Five Factors Driving Growth
  • Table 4 Three Factors Limiting Growth
  • Table 5 Seven Key Diagnostic Laboratory Technology Trends
  • Table 6 Single Cell Genomics Global Market by Country/Region
  • Table 7 Single Cell Genomics Global Market by Analyte
  • Table 8 Global Market by Product
  • Table 9 Global Market by Workflow
  • Table 10 Global Market by End User
  • Table 11 Global Market by Application
  • Table 12 DNA Market by Country
  • Table 13 RNA Market by Country
  • Table 14 Epigenetic Market by Country
  • Table 15 Proteomic Market by Country
  • Table 16 Multiomics Market by Country
  • Table 17 Other Analyte Market by Country
  • Table 18 Instrument Market by Country
  • Table 19 Reagent Market by Country
  • Table 20 Software & Other Market by Country
  • Table 21 Cell Isolation Market by Country
  • Table 22 Sample Preparation Market by Country
  • Table 23 Genomic Analysis Market by Country
  • Table 24 Research Market by Country
  • Table 25 BioPharma Market by Country
  • Table 26 Clinical Market by Country
  • Table 27 Other End User Market by Country
  • Table 28 Oncology Market by Country
  • Table 29 Immunology Market by Country
  • Table 30 Microbiology Market by Country
  • Table 31 Cell Market by Country
  • Table 32 Stem Cell Market by Country
  • Table 33 Neurology Market by Country
  • Table 34 Other Application Market by Country

Table of Figures

  • Figure 1 Size of Different Genomes
  • Figure 2 Flourescence Activated Sorter
  • Figure 3 The Road to Diagnostics
  • Figure 4 Centralized vs. Decentralized Laboratory Service
  • Figure 5 A Highly Multiplexed Syndromic Testing Unit
  • Figure 6 The Real Cost to Sequence the Human Genome
  • Figure 7 The Codevelopment Process
  • Figure 8 Comparing MDx Diagnostic and Traditional Testing
  • Figure 9 Market Size by Country
  • Figure 10 Global Market by Analyte - Base vs. Final Year
  • Figure 11 Analyte Market Base Year
  • Figure 12 Analyte Market Final Year
  • Figure 13 Analyte Share by Year
  • Figure 14 Analyte Segment Growth
  • Figure 15 Product - Base vs. Final Year
  • Figure 16 Product Market Base Year
  • Figure 17 Product Market Final Year
  • Figure 18 Product Share by Year
  • Figure 19 Product Segment Growth
  • Figure 20 Workflow - Base vs. Final Year
  • Figure 21 Workflow Market Base Year
  • Figure 22 Workflow Market Final Year
  • Figure 23 Workflow Share by Year
  • Figure 24 Workflow Segment Growth
  • Figure 25 End User - Base vs. Final Year
  • Figure 26 End User Market Base Year
  • Figure 27 End User Market Final Year
  • Figure 28 End User Share by Year
  • Figure 29 End User Segment Growth
  • Figure 30 Application - Base vs. Final Year
  • Figure 31 Application Market Base Year
  • Figure 32 Application Market Final Year
  • Figure 33 Application Share by Year
  • Figure 34 Application Segment Growth
  • Figure 35 Chart - DNA Market Growth
  • Figure 36 Chart RNA Market Growth
  • Figure 37 Chart - Epigenetic Market Growth
  • Figure 38 Chart - Proteomic Market Growth
  • Figure 39 Chart - Multiomics Market Growth
  • Figure 40 Chart - Other Analyte Market Growth
  • Figure 41 Chart - Instrument Market Growth
  • Figure 42 Chart - Reagent Market Growth
  • Figure 43 Chart - Software & Other Market Growth
  • Figure 44 Chart - Cell Isolation Market Growth
  • Figure 45 Chart - Sample Preparation Market Growth
  • Figure 46 Chart - Genomic Analysis Market Growth
  • Figure 47 Chart - Research Market Growth
  • Figure 48 Chart - BioPharma Market Growth
  • Figure 49 Chart - Clinical Market Growth
  • Figure 50 Chart - Other End User Market Growth
  • Figure 51 Chart - Oncology Market Growth
  • Figure 52 Chart Immunology Market Growth
  • Figure 53 Chart - Microbiology Market Growth
  • Figure 54 Chart - Cell Market Growth
  • Figure 55 Chart - Stem Cell Market Growth
  • Figure 56 Chart - Neurology Market Growth
  • Figure 57 Chart - Other Application Market Growth
  • Figure 58 FDA Cancer Drug Approvals by Year
  • Figure 59 Clinical Trials for Immunotherapy by Year
  • Figure 60 Pie Chart of Prevalence of Cancer Treatments