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Single Cell Genomics Market Report: 2027-2031 Forecast, Technology and Policy Outlook by Analyte, Product, Workflow, End User, Field and Country - Strategic Analysis of 33 Companies

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    Report

  • 264 Pages
  • October 2026
  • Region: Global
  • Howe Sound Research
  • ID: 5472972

Single cell genomics is becoming an industrial data business. The market grows from $3,860 million in 2026 to $9,200 million in 2031, at 19% a year.

Single cell genomics is becoming an industrial data business. Diversified tools companies have bought most of the independent platform makers, the market leader is betting on a new spatial platform, and the biggest new buyers are pharmaceutical and AI companies building perturbation datasets to train models of the cell. Multi-omic assays gain the most share, and Biopharma overtakes academic research as the largest customer.

Market Size and Growth Outlook

This report estimates the global single cell genomics market at $3.86 billion in 2026, growing at 19% a year to $9.20 billion in 2031.

Market Size 2026: USD $3.86B Market Size 2031: USD $9.2B CAGR: 19%

Key Market Drivers

  • Tools Companies Have Bought the Platform Makers: Waters completed its combination with BD's Biosciences business, including BD Rhapsody, and QIAGEN bought Parse Biosciences for about $225 million.
  • The Leader Is Between Product Cycles: 10x Genomics' instrument revenue fell to $7.7 million in the second quarter of 2026, and it began shipping its Atera spatial platform in September.
  • Perturbation Data Is the New Demand: Illumina's Billion Cell Atlas, Xaira's X-Cell model and Biohub's $1.8 billion Virtual Biology Initiative consume reagents by the million cells.
  • Patents Shape the Market: 10x Genomics and Roche sued Illumina, 10x won a jury verdict against Parse and sued Element Biosciences.
  • Multi-Omics Moves to the Centre: Multi-omic assays grow 26.6% a year, from 20.5% to 28% of the market.

Market Segmentation

The report forecasts the market by analyte, product, workflow, end user and field, for 14 countries and regions. Biopharma rises from 37.5% to 40.5% of spending and Research falls from 45.5% to 36.5%, while clinical use grows fastest at 28.1% a year.

Competitive Landscape

10x Genomics holds the largest installed base and is betting its growth on the Atera spatial platform. Waters (BD Rhapsody), QIAGEN (Parse) and Illumina are diversified tools companies that now own most of the competing platforms. Illumina, Biohub, Arc Institute and Tahoe Therapeutics build the very large perturbation datasets driving new demand, and Xaira Therapeutics and NVIDIA turn single-cell data into AI models of the cell. Mission Bio, BioSkryb and Standard BioTools are smaller specialists facing a choice between clinical niches and consolidation. The report profiles 33 companies.

Questions This Report Answers

  • How fast will single cell genomics grow, and which analytes and workflow steps gain share?
  • How much demand will perturbation screens and AI virtual cell models create?
  • Will Biopharma overtake academic research as the largest customer, and when?
  • How will consolidation and patent litigation change which platforms customers buy?
  • How large is each country market, and how fast is China growing?

What's Inside

264 pages, 23 chapters, 59 tables and 50 figures. Single-cell platforms and technologies, spatial biology and multi-omics, applications by field, biopharma, perturbation screens and AI virtual cells, data analysis, clinical translation and research funding, and China and Asia-Pacific. 10 market-moving developments from 2025 and 2026, SWOT, Porter's Five Forces and strategic recommendations, and 33 company profiles.

Table of Contents

1. Executive Summary
1.1 Situation Analysis
1.2 Market Snapshot
1.3 Key Findings
1.4 Investment & Strategic Thesis
2. Research Methodology & Scope
2.1 Scope & Market Definition
2.2 Relationship to Other Howe Sound Research Reports
2.3 Value Basis
2.4 Market Segments
2.5 Geographic Coverage
2.6 Methodology
2.7 Sources
2.8 Author
2.9 Limitations
3. Introduction to Single Cell Genomics
3.1 Why Single Cells
3.2 How Cells Are Isolated and Barcoded
3.3 What Is Measured: RNA, Chromatin, DNA, Protein and Multi-omics
3.4 Spatial Methods
3.5 A Short History
3.6 The Industry
4. The Global Market for Single Cell Genomics
4.1 Global Market Overview by Country
4.2 Global Market by Analyte - Overview
4.3 Global Market by Product - Overview
4.4 Global Market by Workflow - Overview
4.5 Global Market by End User - Overview
4.6 Global Market by Field - Overview
5. Single-cell Platforms & Technologies
5.1 How to Compare Single-cell Platforms
5.2 10x Genomics: Chromium, Flex and Scale
5.3 Waters Biosciences, Qiagen (Parse) and Illumina
5.4 Specialist and Regional Platforms
5.5 Platform Comparison
5.6 Technology Trends and Outlook
6. Spatial Biology & Multi-omics
6.1 Why Spatial Context Matters
6.2 10x Genomics: Visium, Xenium and Atera
6.3 Bruker Spatial Biology, Vizgen and Quanterix/Akoya
6.4 Element AVITI24, Curio and New Entrants
6.5 Protein and Epigenomic Layers
6.6 Outlook for Spatial and Multi-omic Analysis
7. Applications by Field
7.1 Where Single Cell Methods Earn Their Keep
7.2 Oncology: Tumour Heterogeneity and Resistance
7.3 Immunology and Cell Therapy
7.4 Neurology, Stem Cells and Development
7.5 Cell Biology, Microbiology and Other Fields
7.6 Cell Atlases as Shared Infrastructure
8. Biopharma, Perturbation Screens & AI Virtual Cells
8.1 Pharma Becomes the Driving Customer
8.2 Perturb-seq and the Industrialisation of Screens
8.3 Billion-Cell Datasets
8.4 Virtual Cell Models
8.5 Funders and Pharma Demand
9. Data Analysis, Software & Foundation Models
9.1 The Analysis Bottleneck
9.2 Vendor Pipelines and Open-Source Tools
9.3 Cloud Platforms and Data Commons
9.4 Single-Cell Foundation Models
9.5 Data Scale and Storage
10. Clinical Translation, Regulation & Research Funding
10.1 From Discovery Tool to Clinical Use
10.2 Clinical Applications Today
10.3 Regulatory Pathways
10.4 Research Funding
10.5 Outlook for Clinical Translation
11. China & Asia-Pacific Single Cell Markets
11.1 Regional Overview
11.2 China: Domestic Suppliers and Services
11.3 Domestic Substitution, Trade and the BIOSECURE Act
11.4 Japan, South Korea, Singapore, Australia and India
11.5 Outlook for Asia-Pacific
12. Recent Developments
12.1 Waters Completes Its Combination with BD's Biosciences & Diagnostic Solutions Businesses
12.2 QIAGEN Acquires Parse Biosciences
12.3 10x Genomics Launches and Ships Atera
12.4 Illumina Introduces the Billion Cell Atlas
12.5 10x Genomics and Roche Sue Illumina over Single-cell Patents
12.6 Biohub Expands Its Virtual Biology Initiative to $1.8 Billion
12.7 10x Genomics Reports Second-quarter 2026 Results
12.8 Standard BioTools Agrees a Merger with Treeline and Sells Its Mass Cytometry Business
12.9 Xaira Therapeutics Launches the X-Cell Virtual Cell Model
12.10 Tahoe Therapeutics, Arc Institute and Biohub Partner on a Large Perturbation Dataset
13. Operations, Sample Preparation & Supply Chain
13.1 The Single-Cell Workflow and Where the Money Goes
13.2 Sample Preparation: Dissociation, Fixation and Stability
13.3 Cell Isolation, Throughput and Cost per Cell
13.4 Sequencing Depth and Data
13.5 Reagent Supply Chain
13.6 Core Facilities, Services, Staffing and Outlook
14. Competitive Landscape
14.1 Structure of Competition
14.2 Tiers of Players
14.3 Leading Players by Role
14.4 Consolidation and Notable Acquisitions
14.5 Competitive Dynamics
14.6 Outlook for Competition
15. SWOT, Porter's Five Forces & Investment Risk Analysis
15.1 SWOT Analysis
15.2 Porter's Five Forces
15.3 Investment Risk Analysis
16. Strategic Recommendations
16.1 Guidance for Executives, Marketing, Sales and Business Development
16.2 Guidance for Management Consultants and Investment Advisors
17. Market Forecast by Analyte, 2026-2031
17.1 DNA
17.2 RNA
17.3 Epigenomic
17.4 Protein
17.5 Multi-omic
17.6 Other
18. Market Forecast by Product, 2026-2031
18.1 Instruments
18.2 Reagents & Kits
18.3 Software & Other
19. Market Forecast by Workflow, 2026-2031
19.1 Cell Isolation
19.2 Library Preparation
19.3 Analysis
20. Market Forecast by End User, 2026-2031
20.1 Research
20.2 Biopharma
20.3 Clinical
20.4 Other
21. Market Forecast by Field, 2026-2031
21.1 Oncology
21.2 Immunology
21.3 Microbiology
21.4 Cell Biology
21.5 Stem Cells
21.6 Neurology
21.7 Other
22. Company Profiles
22.1 10x Genomics (including Scale Biosciences)
22.2 Arc Institute
22.3 Azenta Life Sciences (GENEWIZ)
22.4 BGI Genomics
22.5 Biohub (Chan Zuckerberg Biohub)
22.6 Bio-Rad Laboratories
22.7 BioSkryb Genomics
22.8 Bio-Techne
22.9 Bruker (Bruker Spatial Biology)
22.10 Cellanome
22.11 DNAnexus
22.12 Element Biosciences
22.13 Illumina
22.14 MGI Tech
22.15 Miltenyi Biotec
22.16 Mission Bio
22.17 Novogene
22.18 NVIDIA (BioNeMo / Parabricks)
22.19 Qiagen (Parse Biosciences)
22.20 Quanterix (including Akoya Biosciences)
22.21 Revvity (including BioLegend)
22.22 Singleron Biotechnologies
22.23 Singular Genomics
22.24 Standard BioTools (merging with Treeline Biosciences)
22.25 STEMCELL Technologies
22.26 Tahoe Therapeutics
22.27 Takara Bio (including Curio Bioscience)
22.28 Thermo Fisher Scientific
22.29 Ultima Genomics
22.30 Velsera (Seven Bridges)
22.31 Vizgen
22.32 Waters Corporation (Waters Biosciences, BD Rhapsody)
22.33 Xaira Therapeutics
23. Appendix
23.1 Abbreviations
23.2 Developments Archive
23.3 Report Limitations Restated
List of Tables
Table 1 Key Market Indicators (constant 2026 US$)
Table 2 Global Market by Segment, 2026 and 2031 (US$ millions, constant 2026 dollars)
Table 3 Main Single-cell Isolation and Barcoding Approaches
Table 4 Global Market by Country
Table 5 Global Market by Analyte
Table 6 Global Market by Product
Table 7 Global Market by Workflow
Table 8 Global Market by End User
Table 9 Global Market by Field
Table 10 Single-cell Platforms Compared, October 2026
Table 11 Main Spatial Biology Platforms
Table 12 Single Cell Genomics Market by Field, 2026 and 2031 (US$ millions)
Table 13 Single Cell Applications by Field
Table 14 Single Cell Genomics Market by End User, 2026 and 2031 (US$ millions)
Table 15 Large Single-Cell Perturbation and Atlas Datasets for AI
Table 16 Analysis and Software Segments in Context, 2026 and 2031 (US$ millions)
Table 17 Single-Cell Analysis Software Stack
Table 18 Selected Single-Cell Foundation and Virtual Cell Models
Table 19 Global Single Cell Genomics Market by End User, 2026 and 2031
Table 20 Clinical Uses of Single Cell Genomics
Table 21 Regulatory Routes for Clinical Single Cell Tests
Table 22 Asia-Pacific Single Cell Genomics Market by Country, 2026 and 2031
Table 23 Single Cell Genomics in Selected Asia-Pacific Markets
Table 24 Recent Developments at a Glance
Table 25 Global Single Cell Genomics Market by Workflow, 2026 and 2031
Table 26 Single-Cell Isolation Approaches Compared
Table 27 Competitive Structure by Segment
Table 28 Tiers of Single Cell Genomics Competitors
Table 29 Leading Single-cell and Spatial Platform Suppliers
Table 30 Notable Acquisitions in Single Cell Genomics and Spatial Biology, 2024-2026
Table 31 SWOT Analysis - Strengths and Weaknesses
Table 32 SWOT Analysis - Opportunities and Threats
Table 33 Porter's Five Forces Ratings
Table 34 Investment Risk Matrix
Table 35 Selected Growth Opportunities
Table 36 DNA by Country
Table 37 RNA by Country
Table 38 Epigenomic by Country
Table 39 Protein by Country
Table 40 Multi-omic by Country
Table 41 Other by Country
Table 42 Instruments by Country
Table 43 Reagents & Kits by Country
Table 44 Software & Other by Country
Table 45 Cell Isolation by Country
Table 46 Library Preparation by Country
Table 47 Analysis by Country
Table 48 Research by Country
Table 49 Biopharma by Country
Table 50 Clinical by Country
Table 51 Other by Country
Table 52 Oncology by Country
Table 53 Immunology by Country
Table 54 Microbiology by Country
Table 55 Cell Biology by Country
Table 56 Stem Cells by Country
Table 57 Neurology by Country
Table 58 Other by Country
Table 59 Developments Archive: Items from 2023-2025 in the Previous Edition
List of Figures
Figure 1 Key Graphic - Multi-omics Moves to the Centre: Single Cell Genomics Market by Analyte, 2026 vs 2031
Figure 2 Global Market Pareto Chart
Figure 3 Global Market by Analyte - Base vs. Final
Figure 4 Global Market by Analyte Base Year
Figure 5 Global Market by Analyte End Year
Figure 6 Analyte Share by Year
Figure 7 Analyte Segments Growth
Figure 8 Global Market by Product - Base vs. Final
Figure 9 Global Market by Product Base Year
Figure 10 Global Market by Product End Year
Figure 11 Product Share by Year
Figure 12 Product Segments Growth
Figure 13 Global Market by Workflow - Base vs. Final
Figure 14 Global Market by Workflow Base Year
Figure 15 Global Market by Workflow End Year
Figure 16 Workflow Share by Year
Figure 17 Workflow Segments Growth
Figure 18 Global Market by End User - Base vs. Final
Figure 19 Global Market by End User Base Year
Figure 20 Global Market by End User End Year
Figure 21 End User Share by Year
Figure 22 End User Segments Growth
Figure 23 Global Market by Field - Base vs. Final
Figure 24 Global Market by Field Base Year
Figure 25 Global Market by Field End Year
Figure 26 Field Share by Year
Figure 27 Field Segments Growth
Figure 28 DNA Growth
Figure 29 RNA Growth
Figure 30 Epigenomic Growth
Figure 31 Protein Growth
Figure 32 Multi-omic Growth
Figure 33 Other Growth
Figure 34 Instruments Growth
Figure 35 Reagents & Kits Growth
Figure 36 Software & Other Growth
Figure 37 Cell Isolation Growth
Figure 38 Library Preparation Growth
Figure 39 Analysis Growth
Figure 40 Research Growth
Figure 41 Biopharma Growth
Figure 42 Clinical Growth
Figure 43 Other Growth
Figure 44 Oncology Growth
Figure 45 Immunology Growth
Figure 46 Microbiology Growth
Figure 47 Cell Biology Growth
Figure 48 Stem Cells Growth
Figure 49 Neurology Growth
Figure 50 Other Growth

Companies Mentioned

  • 10x Genomics (including Scale Biosciences)
  • Arc Institute
  • Azenta Life Sciences (GENEWIZ)
  • BGI Genomics
  • Biohub (Chan Zuckerberg Biohub)
  • Bio-Rad Laboratories
  • BioSkryb Genomics
  • Bio-Techne
  • Bruker (Bruker Spatial Biology)
  • Cellanome
  • DNAnexus
  • Element Biosciences
  • Illumina
  • MGI Tech
  • Miltenyi Biotec
  • Mission Bio
  • Novogene
  • NVIDIA (BioNeMo / Parabricks)
  • Qiagen (Parse Biosciences)
  • Quanterix (including Akoya Biosciences)
  • Revvity (including BioLegend)
  • Singleron Biotechnologies
  • Singular Genomics
  • Standard BioTools (merging with Treeline Biosciences)
  • STEMCELL Technologies
  • Tahoe Therapeutics
  • Takara Bio (including Curio Bioscience)
  • Thermo Fisher Scientific
  • Ultima Genomics
  • Velsera (Seven Bridges)
  • Vizgen
  • Waters Corporation (Waters Biosciences, BD Rhapsody)
  • Xaira Therapeutics

Table Information