Single-Cell Multiomics Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

The Single-Cell Multiomics Market Report is Segmented by Product (Instruments & Platforms and More), Technology Platform (Droplet-Based Microfluidics, and More), Omics Modality (Genomics, and More), Application (Oncology, Neurology, and More), Workflow Step (Cell Isolation & Sorting, and More), End User (Academic & Research Institutes, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Single-Cell Multiomics Market Size and Share

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Single-Cell Multiomics Market Analysis by Mordor Intelligence

The single-cell multiomics market stood at USD 1.33 billion in 2025 and is expected to reach USD 3.21 billion by 2030, advancing at a 19.31% CAGR. Adoption accelerates as spatial biology platforms deliver sub-cellular resolution, long-read sequencers push accuracy thresholds, and AI-enhanced analytics streamline data interpretation. Sustained declines in sequencing costs, coupled with cloud-based bioinformatics, lower the entry barriers for laboratories. Vendors now bundle hardware, reagents, and software into integrated ecosystems, creating switching costs that deepen customer lock-in. Oncology programs dominated early uptake, yet brain-mapping consortia, autoimmune research, and population-scale immunity projects now diversify demand. Regulatory conversations around genomic-data privacy add caution but also encourage investment in secure data-handling frameworks that can unlock cross-border collaborations.

Key Report Takeaways

  • By product, instruments and platforms commanded 46.12% of the single-cell multiomics market share in 2024, while software and services are projected to grow at a 23.45% CAGR through 2030.
  • By technology platform, droplet-based microfluidics held 58.33% of the single-cell multiomics market share in 2024; spatial-omics platforms are forecast to expand at a 24.56% CAGR to 2030.
  • By omics modality, single-cell genomics led with 44.62% of the single-cell multiomics market share in 2024, whereas proteomics is advancing at a 24.12% CAGR through 2030.
  • By application, oncology accounted for 36.45% of the single-cell multiomics market size in 2024, and neurology is projected to grow at a 22.23% CAGR between 2025-2030.
  • By workflow step, cell isolation and sorting captured 33.23% of the single-cell multiomics market share in 2024, while data analysis and visualization record the highest projected CAGR at 23.05% to 2030.
  • By end user, academic and research institutes held 51.24% of the single-cell multiomics market share in 2024, whereas biotechnology and pharmaceutical companies are expanding fastest at a 21.63% CAGR through 2030.
  • By geography, North America led with 41.23% of the single-cell multiomics market share in 2024, while Asia Pacific is forecast to post the quickest growth at a 21.44% CAGR to 2030.

Segment Analysis

By Product: Platforms Anchor Hardware Dominance

Instruments and platforms accounted for 46.12% of the single-cell multiomics market share in 2024, reflecting the indispensable role of precision hardware in assay quality. Broadening assay menus and integration of sequencing and imaging into unified chassis further cement their position. Software and services, though smaller, are growing fastest at 23.45% CAGR as cloud pipelines and AI dashboards become routine. The single-cell multiomics market size for software and services is projected to add USD 0.68 billion between 2025-2030, mirroring lab demand for turnkey analytics. Recurring reagent revenue underpins vendor profitability, funding next-gen platform R&D that widens performance gaps against earlier models.

Continuous hardware innovation—illustrated by platforms that process 20,000 cells per run while capturing transcriptome and protein data—keeps capital budgets directed toward upgrades. On the services front, contract analytics groups scale by offering pay-per-dataset models, allowing small biotech teams to tap advanced pipelines without infrastructure. Synergy between hardware and cloud software fosters ecosystem lock-in, reinforcing the expansion trajectory of the single-cell multiomics market.

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Note: Segment shares of all individual segments available upon report purchase

By Technology Platform: Droplets Maintain the Standard

Droplet-based workflows captured 58.33% revenue in 2024, benefiting from mature chemistries, abundant reagent kits, and proven scalability. High-throughput labs favor droplet systems for population-scale atlases that demand millions of barcoded cells. Spatial-omics, while newer, is rising at 24.56% CAGR as tumor-microenvironment mapping moves toward the clinic. The single-cell multiomics market size for spatial-omics is expected to triple by 2030, supported by tissue-context biomarkers in oncology.

Hybrid strategies now emerge: instruments inject droplet-partitioned cells onto slides for secondary spatial staining, combining throughput with context. Nanowell and combinatorial indexing platforms remain options where cost or sample type mandates alternative formats. Yet droplet incumbents invest heavily in R&D, extending chemistry lifecycles and defending their hold on the single-cell multiomics market.

By Omics Modality: Genomics Leads, Proteomics Surges

Genomics retained 44.62% revenue in 2024, a reflection of entrenched sequencing infrastructure and widely accepted variant-calling pipelines. Proteomics, however, posts the fastest 24.12% CAGR as sensitivity breakthroughs bring single-cell protein coverage beyond 2,000 proteins per cell. Transcriptomics sits between the two, offering functional snapshots that complement DNA variation data, while metabolomics lags because of detection-limit challenges.

Proteomics momentum owes to antibody-oligo conjugate panels that plug into existing sequencers, minimizing new-instrument spend. Genomics revenue growth now leans on long-read detection of structural variants, adding layers of insight to cancer genome studies. As assay multiplexing becomes routine, multi-modal kits push average selling prices upward, elevating the overall single-cell multiomics market.

By Application: Oncology Holds Ground, Neurology Accelerates

Oncology delivered 36.45% of 2024 revenue, buoyed by biomarker-driven immunotherapy trials that require cell-level resolution. Spatial gene-expression maps now inform biopsy grading protocols, embedding single-cell assays in diagnostic algorithms. Neurology’s 22.23% CAGR reflects global brain-mapping initiatives that catalog neuronal subtypes and synaptic circuits. The single-cell multiomics market size for neurology applications could surpass USD 0.7 billion by 2030 if current funding trajectories persist.

Non-oncology immunology has also grown as autoimmune and infectious-disease projects leverage single-cell atlases to deconvolute complex immune landscapes. Developmental-biology studies round out demand, providing insights into congenital disorders and regenerative pathways. Diversification across therapeutic areas reduces revenue concentration risk and broadens the single-cell multiomics market customer base.

By Workflow Step: Isolation Dominates, Analytics Gains Speed

Cell isolation and sorting contributed 33.23% revenue in 2024, underscoring the foundational need for viable single-cell suspensions. Novel acoustic and optical methods now sort 100,000 cells per minute, lowering sample-prep time. Data analysis and visualization, while smaller, expand at 23.05% CAGR as AI pipelines commoditize interpretation tasks. Instruments that automate library prep, sequencing, and primary analytics in a closed loop are redefining standard operating procedures across the single-cell multiomics market.

Integrated workflows decrease error rates tied to manual handling, while cloud dashboards democratize access to high-performance compute clusters. The result is a leveling of analytical capacity between resource-rich academic centers and smaller regional hospitals, fueling downstream adoption and revenue growth.

Single-Cell Multiomics Market: Market Share by Workflow Step
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Note: Segment shares of all individual segments available upon report purchase

By End User: Academia Commands, Pharma Scales Up

Academic and research centers represented 51.24% of 2024 spending, anchored by federal grants and philanthropic initiatives. Core facilities often act as regional hubs, servicing multiple institutes and sharing capital costs. Pharmaceutical and biotech firms, however, post a 21.63% CAGR as translational endpoints validate commercial ROI. The single-cell multiomics industry leverages these corporate budgets to underwrite late-stage validation studies crucial for regulatory acceptance.

Contract research organizations bridge capacity gaps, offering flexible access to platforms and specialized expertise. Their rise accelerates project throughput but exerts pricing pressure on service contracts, prompting differentiation through proprietary analysis pipelines. The shifting user mix keeps the single-cell multiomics market dynamic and expands total addressable demand.

Geography Analysis

North America accounted for 41.23% revenue in 2024, underpinned by NIH-funded precision-medicine programs, deep venture capital pools, and early technology adoption. Collaborations between sequencer manufacturers and cloud-compute vendors normalize AI-enabled genomics dashboards, positioning the region at the forefront of integrative workflows. Academic–industry consortia translate bench discoveries into clinical assays at a pace unmatched elsewhere, sustaining premium pricing within the single-cell multiomics market.

Asia Pacific, projected to grow at 21.44% CAGR, benefits from government-backed cell-atlas projects and domestic instrument manufacturing. China’s multi-billion-cell initiatives harness large-scale sequencing to chart tissue diversity, while Japanese centers target age-related neurological disorders with single-cell resolution. Price-sensitive sub-markets spur demand for cost-optimized kits, prompting global vendors to localize production. These dynamics expand the regional single-cell multiomics market despite infrastructure disparities across countries.

Europe occupies a technologically sophisticated but regulation-intensive landscape. Horizon grants sustain academic demand, and pharma clusters in Germany and the United Kingdom integrate single-cell assays into drug-discovery pipelines. Yet GDPR compliance hurdles complicate cross-border data exchanges, slowing multi-site oncology studies and nudging enterprises toward privacy-enhancing computation stacks. Despite these frictions, high-value proteomics acquisitions signal investor confidence, anchoring Europe as a stable, if slower-growing, node in the global single-cell multiomics market.

Single-Cell Multiomics Market CAGR (%), Growth Rate by Region
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Competitive Landscape

The market remains moderately concentrated: the top five providers control roughly 45% of global revenue, yielding substantial yet contestable sway. Leaders such as 10x Genomics extend chemistry roadmaps and integrate automation partners, deepening their installed-base moat. Illumina couples new spatial platforms with GPU-accelerated analysis suites, signaling ambitions beyond sequencing. Spatial specialists Vizgen and Ultivue merged to consolidate imaging probes and software stacks, intensifying competition in tissue-context assays.

Start-ups focus on white-space modalities: Deepcell’s AI-based morphology sorting augments label-free workflows, while Scale Biosciences expands high-parameter proteomics kits. Partnerships are a favored route—e.g., BioSkryb with Tecan—to weave complementary competencies and accelerate commercialization. Data-privacy regulation spurs differentiation; providers offering compliant, sovereign-cloud platforms gain footholds in Europe. Collectively, these maneuvers raise the innovation bar and shape the trajectory of the single-cell multiomics market.

Single-Cell Multiomics Industry Leaders

  1. Bio-Rad Laboratories, Inc.

  2. Illumina Inc

  3. BD

  4. Qaigen N.V.

  5. 10x Genomics

  6. *Disclaimer: Major Players sorted in no particular order
Single-Cell Multiomics Market Concentration
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Recent Industry Developments

  • April 2025: Arc Institute partnered with 10x Genomics and Ultima Genomics to evolve the Virtual Cell Atlas for multi-omics data integration.
  • April 2025: BioSkryb Genomics and Tecan launched a high-throughput single-cell workflow delivering sequencing-ready libraries in under 10 hours.
  • February 2025: Illumina unveiled a spatial transcriptomics platform slated for 2026 release and began collaborating with Broad Institute for large-scale datasets.
  • February 2025: Chan Zuckerberg Initiative, 10x Genomics, and Ultima Genomics announced the Billion Cells Project to profile cellular diversity at unprecedented scale.

Table of Contents for Single-Cell Multiomics Industry Report

1. Introduction

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. Research Methodology

3. Executive Summary

4. Market Landscape

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Growing R&D And Technological Advances In Single-Cell Analysis
    • 4.2.2 Rising Burden Of Chronic & Infectious Diseases
    • 4.2.3 Rapid Adoption Of Multiomics In Precision Oncology & Immunology
    • 4.2.4 Sequencing-Cost Reductions & Ultra-High-Throughput Platforms
    • 4.2.5 AI-Enabled Analytics Pipelines Streamline Multiomic Workflows
    • 4.2.6 Commercialisation Of Spatial Multiomics With In-Situ Resolution
  • 4.3 Market Restraints
    • 4.3.1 High Capital & Reagent Costs Of Single-Cell Workflows
    • 4.3.2 Data-Analysis Complexity & Bioinformatics-Talent Shortage
    • 4.3.3 Sample-Prep Biases Causing Loss Of Fragile Cell Populations
    • 4.3.4 Heightened Privacy Regulations On Genomic Data Sharing
  • 4.4 Value / Supply-Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technology Outlook
  • 4.7 Porter’s Five Forces Analysis
    • 4.7.1 Bargaining Power of Suppliers
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Threat of New Entrants
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Intensity of Competitive Rivalry

5. Market Size and Growth Forecasts (Value-USD)

  • 5.1 By Product
    • 5.1.1 Instruments & Platforms
    • 5.1.2 Reagents & Consumables
    • 5.1.3 Software & Services
  • 5.2 By Technology Platform
    • 5.2.1 Droplet-based Microfluidics
    • 5.2.2 Nanowell / Combinatorial Indexing
    • 5.2.3 Spatial-omics Platforms
  • 5.3 By Omics Modality
    • 5.3.1 Genomics
    • 5.3.2 Transcriptomics
    • 5.3.3 Proteomics
    • 5.3.4 Metabolomics
  • 5.4 By Application
    • 5.4.1 Oncology
    • 5.4.2 Neurology
    • 5.4.3 Cell Biology & Developmental Biology
    • 5.4.4 Immunology & Infectious Disease
  • 5.5 By Workflow Step
    • 5.5.1 Cell Isolation & Sorting
    • 5.5.2 Library Preparation & Barcoding
    • 5.5.3 Sequencing & Imaging Platforms
    • 5.5.4 Data Analysis & Visualisation
  • 5.6 By End User
    • 5.6.1 Academic & Research Institutes
    • 5.6.2 Biotechnology & Pharmaceutical Companies
    • 5.6.3 Contract Research Organisations
  • 5.7 By Geography
    • 5.7.1 North America
    • 5.7.1.1 United States
    • 5.7.1.2 Canada
    • 5.7.1.3 Mexico
    • 5.7.2 Europe
    • 5.7.2.1 Germany
    • 5.7.2.2 United Kingdom
    • 5.7.2.3 France
    • 5.7.2.4 Italy
    • 5.7.2.5 Spain
    • 5.7.2.6 Rest of Europe
    • 5.7.3 Asia-Pacific
    • 5.7.3.1 China
    • 5.7.3.2 Japan
    • 5.7.3.3 India
    • 5.7.3.4 Australia
    • 5.7.3.5 South Korea
    • 5.7.3.6 Rest of Asia-Pacific
    • 5.7.4 Middle East and Africa
    • 5.7.4.1 GCC
    • 5.7.4.2 South Africa
    • 5.7.4.3 Rest of Middle East and Africa
    • 5.7.5 South America
    • 5.7.5.1 Brazil
    • 5.7.5.2 Argentina
    • 5.7.5.3 Rest of South America

6. Competitive Landscape

  • 6.1 Market Concentration
  • 6.2 Market Share Analysis
  • 6.3 Company profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
    • 6.3.1 10x Genomics Inc.
    • 6.3.2 Illumina Inc.
    • 6.3.3 BD
    • 6.3.4 NanoString Technologies Inc.
    • 6.3.5 Standard BioTools Inc.
    • 6.3.6 Mission Bio Inc.
    • 6.3.7 Vizgen Inc.
    • 6.3.8 Qiagen N.V.
    • 6.3.9 Takara Bio Inc.
    • 6.3.10 Bio-Rad Laboratories Inc.
    • 6.3.11 BGI Genomics Co. Ltd.
    • 6.3.12 Parse Biosciences Inc.
    • 6.3.13 Singular Genomics Systems Inc.
    • 6.3.14 Pacific Biosciences (PacBio)
    • 6.3.15 F. Hoffmann-La Roche Ltd
    • 6.3.16 Cellenion SAS
    • 6.3.17 Olink Proteomics AB
    • 6.3.18 Dolomite Bio
    • 6.3.19 Fluent BioSciences
    • 6.3.20 STRATEC SE

7. Market Opportunities & Future Outlook

  • 7.1 White-space & Unmet-Need Assessment
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Global Single-Cell Multiomics Market Report Scope

Single-cell multiomics technologies measure various molecules from the same individual cell, providing deeper biological insights than analyzing separate molecular layers from different cells. Additionally, these technologies uncover cellular heterogeneity across multiple molecular layers within a cell population, highlighting how variations are interconnected or distinct between the captured omic layers. 

The single-cell multiomics market is segmented by type, application, end user, and geography. The type segment is further segmented into single-cell genomics, single-cell proteomics, single-cell transcriptomics, and single-cell metabolomics. By application, the market is segmented into cell biology, neurology, oncology, and other applications. The end-user segment is divided into academic & research institutes, biotechnology & pharmaceutical companies, and other end users. The geography segment is further divided into North America, Europe, Asia-Pacific, Middle East and Africa, and South America. The report offers the value (USD) for all the above segments.

By Product Instruments & Platforms
Reagents & Consumables
Software & Services
By Technology Platform Droplet-based Microfluidics
Nanowell / Combinatorial Indexing
Spatial-omics Platforms
By Omics Modality Genomics
Transcriptomics
Proteomics
Metabolomics
By Application Oncology
Neurology
Cell Biology & Developmental Biology
Immunology & Infectious Disease
By Workflow Step Cell Isolation & Sorting
Library Preparation & Barcoding
Sequencing & Imaging Platforms
Data Analysis & Visualisation
By End User Academic & Research Institutes
Biotechnology & Pharmaceutical Companies
Contract Research Organisations
By Geography North America United States
Canada
Mexico
Europe Germany
United Kingdom
France
Italy
Spain
Rest of Europe
Asia-Pacific China
Japan
India
Australia
South Korea
Rest of Asia-Pacific
Middle East and Africa GCC
South Africa
Rest of Middle East and Africa
South America Brazil
Argentina
Rest of South America
By Product
Instruments & Platforms
Reagents & Consumables
Software & Services
By Technology Platform
Droplet-based Microfluidics
Nanowell / Combinatorial Indexing
Spatial-omics Platforms
By Omics Modality
Genomics
Transcriptomics
Proteomics
Metabolomics
By Application
Oncology
Neurology
Cell Biology & Developmental Biology
Immunology & Infectious Disease
By Workflow Step
Cell Isolation & Sorting
Library Preparation & Barcoding
Sequencing & Imaging Platforms
Data Analysis & Visualisation
By End User
Academic & Research Institutes
Biotechnology & Pharmaceutical Companies
Contract Research Organisations
By Geography
North America United States
Canada
Mexico
Europe Germany
United Kingdom
France
Italy
Spain
Rest of Europe
Asia-Pacific China
Japan
India
Australia
South Korea
Rest of Asia-Pacific
Middle East and Africa GCC
South Africa
Rest of Middle East and Africa
South America Brazil
Argentina
Rest of South America
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Key Questions Answered in the Report

1. What is the projected size of the single-cell multiomics market by 2030?

The market is forecast to reach USD 3.21 billion by 2030, expanding at a 19.31% CAGR.

2. Which product category currently generates the most revenue?

Instruments and platforms lead, holding 46.12% of the single-cell multiomics market share in 2024.

3. Why are spatial-omics platforms growing so quickly?

Spatial-omics links molecular profiles with tissue context, improving biomarker discovery and thereby driving a 24.56% CAGR for these platforms.

4. Which region is expected to grow fastest through 2030?

Asia Pacific is projected to advance at 21.44% CAGR, propelled by large-scale cell-atlas projects and expanding research infrastructure.

5. What is the main barrier to wider adoption of single-cell multiomics in emerging markets?

High capital and reagent costs remain the chief obstacles, subtracting an estimated 2.8% from the global CAGR forecast.

Page last updated on: July 8, 2025