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Single-Cell Multi-Omics Market by Product, Technology, Application, End User, Workflow - Global Forecast to 2030

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  • 192 Pages
  • May 2025
  • Region: Global
  • 360iResearch™
  • ID: 6011749
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The Single-Cell Multi-Omics Market grew from USD 3.18 billion in 2024 to USD 3.54 billion in 2025. It is expected to continue growing at a CAGR of 10.99%, reaching USD 5.94 billion by 2030.

Unveiling the Single-Cell Multi-Omics Landscape

The single-cell multi-omics field has emerged as a cornerstone of modern biological research, offering unprecedented resolution into cellular heterogeneity and functional dynamics. By combining genomic, transcriptomic, proteomic, and spatial readouts at the individual cell level, researchers can dissect complex biological systems and uncover mechanistic insights that drive next-generation therapeutic discovery.

Recent technological breakthroughs, including high-throughput sequencing, imaging mass spectrometry, and advanced mass cytometry platforms, have accelerated adoption across academic institutions, clinical diagnostics, and pharmaceutical development. The synergy of these technologies with AI-enabled data analysis pipelines has further democratized access to multi-dimensional datasets, reducing the barrier to entry for laboratories seeking to implement comprehensive single-cell workflows.

Despite rapid progress, the field faces challenges related to sample preparation, data integration, and regulatory compliance. Achieving reproducible results requires standardized protocols for cell isolation, library construction, and quality control. Moreover, the proliferation of data demands robust bioinformatics frameworks and cloud-based infrastructures that ensure security and scalability without compromising analytical depth.

This executive summary distills the transformative shifts, economic influences, segmentation insights, regional trends, and competitive dynamics defining the single-cell multi-omics landscape. By illuminating key drivers and actionable opportunities, this analysis empowers decision makers to navigate complexities, optimize investments, and capitalize on the emerging potential of single-cell multi-omics solutions.

Transformative Shifts Reshaping the Market Ecosystem

The single-cell multi-omics landscape is undergoing rapid transformation driven by the convergence of spatial profiling and high-throughput microfluidics. Innovations such as imaging mass spectrometry and spatial transcriptomics are enabling contextual analysis of molecular signatures within intact tissue architecture. At the same time, microfluidic droplet systems have enhanced throughput and sensitivity, allowing researchers to process thousands of individual cells in parallel with minimal input requirements.

Instrumentation advances have lowered the entry barrier for laboratories by integrating modular platforms that support seamless transitions between genomic, proteomic, and spatial assays. Next-generation sequencers now offer optimized chemistry for ultra-low input samples, while high-parameter mass cytometers deliver single-cell proteomic profiles with subcellular resolution. These developments are fostering a new class of hybrid instruments capable of multi-omic readouts on a single platform.

On the data analysis front, AI and machine learning algorithms are revolutionizing the interpretation of complex datasets, enabling automated cell type classification and trajectory inference. Cloud-based bioinformatics environments and open-source software ecosystems have improved collaboration and reproducibility, reducing the time from raw data acquisition to actionable insights. Integration of multi-modal data is now more efficient, facilitating the discovery of novel biomarkers and therapeutic targets.

These transformative shifts are reshaping research priorities and commercial strategies across academia, clinical diagnostics, and pharmaceutical pipelines. Organizations that embrace end-to-end solutions and invest in scalable infrastructure are poised to lead in biomarker discovery and personalized medicine, accelerating the translation of single-cell multi-omics breakthroughs into real-world applications.

Assessing US Tariff Effects on Market Dynamics

The introduction of new United States tariffs in 2025 on imported laboratory instruments and reagents has introduced a critical economic variable into the global single-cell multi-omics market. Tariffs on key components, from high-precision optics to specialized reagents, are expected to increase the landed cost of end-to-end workflows. This economic shift necessitates a reassessment of sourcing strategies and pricing models across the value chain.

With import duties impacting consumables and instruments alike, academic and commercial laboratories face potential budget constraints that could delay or downscale high-throughput projects. Suppliers may experience margin compression, prompting renegotiation of distributor agreements and exploring local manufacturing partnerships. The ripple effect extends to reagent kits, sequencing flow cells, and mass spectrometry consumables, where even marginal cost increases can significantly affect operational budgets.

Instrument manufacturers are evaluating cost structures and considering regional assembly hubs to circumvent tariff barriers. Strategic alliances with domestic service providers are gaining traction as a means to offer competitive pricing on support and maintenance contracts. In parallel, reagent suppliers are investigating alternative sourcing regions and bulk procurement models to mitigate exposure to fluctuating trade policies.

Proactive measures, such as dual sourcing agreements, hybrid pricing strategies, and the adoption of in-house reagent synthesis, can buffer against tariff-induced price volatility. By fostering closer collaboration across suppliers, end users, and logistics partners, stakeholders can maintain project continuity and preserve momentum in single-cell research initiatives despite the evolving trade landscape. These initiatives will be critical as the market adjusts to changing economic conditions and demand patterns.

Deep Dive into Market Segmentation Nuances

The product landscape of single-cell multi-omics can be delineated into consumables and reagents, instruments, and services. Within consumables and reagents, research kits and specialized reagents for library preparation and labeling drive recurring revenue streams, supporting high-throughput workflows. Instruments range from flow cytometers and mass spectrometers to advanced sequencers, each offering unique sensitivity and throughput profiles suited to different research objectives. Complementing these offerings, services encompass data analysis solutions and support and maintenance programs that ensure continuous operation and analytical accuracy.

Technological segmentation reveals distinct trajectories for single-cell genomics, proteomics, transcriptomics, and spatial multi-omics. Genomic applications leverage techniques such as scATAC-seq and scDNA-seq to map chromatin accessibility and genomic variations at single-cell resolution. Proteomic methods, including label-free proteomics and mass cytometry, enable quantitative profiling of the cellular proteome. Transcriptomic workflows-both droplet-based and plate-based-offer flexible approaches for RNA sequencing, while spatial multi-omics techniques like imaging mass spectrometry and spatial transcriptomics bridge molecular profiling with tissue context.

Application-driven segmentation underscores the importance of biomarker discovery, disease research, and drug discovery and development. Diagnostic and prognostic biomarker identification remains a cornerstone for precision medicine initiatives, while neurology and oncology research benefit from elucidating cellular heterogeneity in disease pathways. In drug discovery, lead optimization and target identification workflows harness single-cell multi-omics to accelerate candidate selection and validate mechanisms of action, reducing attrition rates and streamlining clinical translation.

End-user segmentation spans academic and research institutes, clinical diagnostics laboratories, and pharmaceutical and biotech firms. Government laboratories and universities drive basic science innovation, whereas hospital and independent labs focus on translational and diagnostic applications. Biotech enterprises and large pharmaceutical companies invest in integrated platforms to support expansive research programs. Across all end users, workflows such as sample preparation, library preparation, and data analysis are underpinned by AI and machine learning solutions, barcoding kits, cell isolation technologies, and advanced bioinformatics tools that enhance throughput and ensure data fidelity.

Regional Dynamics Driving Market Trajectories

In the Americas, robust public funding and a concentration of leading research institutions have established a strong foundation for single-cell multi-omics growth. The United States, in particular, benefits from extensive academic-industry collaborations and government initiatives supporting precision medicine. This environment has catalyzed the adoption of high-throughput platforms and spurred demand for consumables, reagents, and advanced analytical services, making it the largest regional contributor to global single-cell multi-omics activity.

The Europe, Middle East and Africa region exhibits diverse market dynamics shaped by varying healthcare infrastructures and research priorities. Western European countries lead in academic research and clinical validation of multi-omic biomarkers, supported by integrated funding mechanisms. Emerging markets in the Middle East and Africa are investing in capacity building, focusing on translational applications in oncology and infectious disease research. Regional collaborations and pan-European consortia are fostering cross-border projects and shared technology platforms.

Asia-Pacific is experiencing the fastest growth trajectory, driven by increasing R&D investment, expanding biotechnology hubs, and favorable regulatory environments. Key markets such as China, Japan and Australia are scaling up single-cell platforms and establishing domestic manufacturing capabilities for consumables and instruments. Rapid adoption of digital health initiatives and precision oncology programs is propelling demand for spatial multi-omics and AI-driven data analysis services across the region.

Competitive Landscape and Key Player Strategies

10x Genomics has maintained its leadership position by unveiling next-generation droplet-based single-cell platforms that enhance throughput while reducing reagent consumption. Illumina has fortified its sequencing portfolio with optimized flow cells and library prep kits tailored for single-cell applications, leveraging strategic partnerships to extend analytical pipelines. Thermo Fisher Scientific has complemented its offerings with expanded mass spectrometry capabilities and bioinformatics services, ensuring that end users benefit from comprehensive multi-omic solutions under a unified support framework.

Becton Dickinson has advanced its flow cytometry systems to support high-parameter proteomic assays, integrating AI-driven automation for sample handling and data acquisition. Fluidigm has deepened its footprint in spatial proteomics with imaging mass cytometry enhancements, expanding reagent compatibility and throughput. Bio-Rad Laboratories has reinforced its position through collaborations that enhance software interoperability and by introducing service models that combine preventive maintenance with real-time analytics support, catering to the evolving needs of high-throughput laboratories.

Emerging innovators such as NanoString Technologies and Resolve Biosciences are disrupting established paradigms with spatial transcriptomics and three-dimensional molecular mapping solutions, respectively. These agile players are forging partnerships with academic centers to validate novel workflows and accelerate clinical applications. By focusing on niche areas and leveraging modular architectures, they are poised to capture growth segments and drive the next wave of single-cell multi-omics advancements.

Strategic Imperatives for Industry Leadership

Industry leaders should prioritize investment in end-to-end platforms that seamlessly integrate sample preparation, multi-omic profiling, and advanced data analysis. By adopting modular systems that support cross-platform interoperability, organizations can reduce workflow complexity, enhance reproducibility, and accelerate time to insight. Allocating resources to validate integrated solutions in pilot studies will streamline scale-up and foster confidence in broader deployment across diverse research settings.

To mitigate the impact of evolving trade policies, companies must diversify their supplier networks and consider regional manufacturing hubs for critical consumables and instrument components. Establishing dual sourcing agreements and collaborating with local partners can buffer against tariff volatility while maintaining supply chain resilience. Transparent cost-sharing frameworks with end users will facilitate pricing flexibility and sustain adoption of high-value reagents and technologies.

Strengthening data analytics capabilities is essential to unlock the full potential of single-cell multi-omics. This entails investing in AI-driven platforms that automate cell type annotation, trajectory mapping, and multi-modal integration. Developing customizable bioinformatics pipelines and embedding real-time quality control metrics will empower researchers to generate robust, reproducible results. Collaboration with software vendors to tailor solutions to specific applications can further enhance analytical accuracy.

Fostering cross-sector partnerships among instrument manufacturers, reagent suppliers, and end users will accelerate standardization and regulatory acceptance. Industry consortia focused on protocol harmonization, data sharing, and workforce training can address key bottlenecks in reproducibility and compliance. By collectively defining best practices and establishing certification programs, stakeholders can build trust and drive the widespread adoption of single-cell multi-omics solutions across research and clinical settings.

Robust Methodology Underpinning Market Insights

The research underpinning this analysis employed a comprehensive secondary research phase, encompassing peer-reviewed publications, patent filings, industry report extracts, and regulatory filings. This phase established a foundational understanding of technological innovations, competitive developments, and policy frameworks shaping the single-cell multi-omics domain. Detailed vendor catalogs and publicly available financial documents were systematically reviewed to map key product introductions and partnership activities.

Primary research consisted of in-depth interviews with senior leaders from instrument manufacturers, reagent suppliers, academic researchers, and clinical end users. These conversations provided nuanced insights into real-world application challenges, purchasing criteria, and strategic priorities. Supplemental surveys targeted R&D heads and procurement teams to quantify preferences for specific workflows, technology attributes, and support services.

Data triangulation techniques were applied to reconcile secondary and primary inputs, ensuring consistency and reliability. Analytical frameworks incorporated qualitative and quantitative validation steps, leveraging cross-reference checks against industry benchmarks and historical adoption rates. A collaborative review process with subject matter experts further refined assumptions and bolstered the credibility of key findings.

Quality assurance protocols were integral throughout the research process, with periodic updates to reflect emerging trends and regulatory changes. Rigorous editorial and methodology audits were conducted to maintain transparency and reproducibility. This robust methodological foundation ensures that the insights presented are both actionable and grounded in empirical evidence.

Synthesizing Findings and Future Outlook

The analysis of the single-cell multi-omics market has revealed a field in dynamic evolution, driven by technological convergence, expanding application domains, and strategic market movements. Key segments such as spatial multi-omics and AI-enabled data analysis are accelerating adoption across academia, clinical diagnostics, and pharmaceutical research. Regional dynamics underscore differentiated growth patterns, with Asia-Pacific emerging as a high-growth frontier.

Economic factors, including the implementation of US tariffs, have introduced new considerations for cost management and supply chain design. Organizations that proactively embrace diversified sourcing, regional manufacturing, and flexible pricing structures are best positioned to sustain momentum. Meanwhile, competitive activity among established and emerging players continues to fuel innovation and broaden the solution ecosystem.

In the long term, the maturation of standardized protocols, regulatory frameworks, and data-sharing consortia will be pivotal to unlock the full potential of single-cell multi-omics. As workflows become more streamlined and cost-efficient, the technology is poised to transition from discovery-focused research to routine clinical applications, enhancing personalized medicine initiatives and delivering tangible patient benefits.

This executive summary provides a strategic roadmap for stakeholders seeking to navigate the complexities of the single-cell multi-omics landscape. Armed with these insights, decision makers can align investments, forge impactful collaborations, and capitalize on emerging opportunities that will define the next chapter of precision biology.

Market Segmentation & Coverage

This research report categorizes to forecast the revenues and analyze trends in each of the following sub-segmentations:
  • Product
    • Consumables & Reagents
      • Kits
      • Reagents
    • Instruments
      • Flow Cytometers
      • Mass Spectrometers
      • Sequencers
    • Services
      • Data Analysis Services
      • Support & Maintenance
  • Technology
    • Single-cell Genomics
      • scATAC-seq
      • scDNA-seq
    • Single-cell Proteomics
      • Label-free Proteomics
      • Mass Cytometry
    • Single-cell Transcriptomics
      • Droplet-based
      • Plate-based
    • Spatial Multi-omics
      • Imaging Mass Spectrometry
      • Spatial Transcriptomics
  • Application
    • Biomarker Discovery
      • Diagnostic Biomarkers
      • Prognostic Biomarkers
    • Disease Research
      • Neurology
      • Oncology
    • Drug Discovery & Development
      • Lead Optimization
      • Target Identification
  • End User
    • Academic & Research Institute
      • Government Labs
      • Universities
    • Clinical Diagnostics Laboratories
      • Hospital Labs
      • Independent Labs
    • Pharma & Biotech
      • Biotech Firms
      • Large Pharma
  • Workflow
    • Data Analysis
      • AI & ML Solutions
      • Bioinformatics Tools
    • Library Preparation
      • Barcoding Kits
      • cDNA Synthesis
    • Sample Preparation
      • Cell Isolation
      • Cell Sorting
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-regions:
  • Americas
    • United States
      • California
      • Texas
      • New York
      • Florida
      • Illinois
      • Pennsylvania
      • Ohio
    • Canada
    • Mexico
    • Brazil
    • Argentina
  • Europe, Middle East & Africa
    • United Kingdom
    • Germany
    • France
    • Russia
    • Italy
    • Spain
    • United Arab Emirates
    • Saudi Arabia
    • South Africa
    • Denmark
    • Netherlands
    • Qatar
    • Finland
    • Sweden
    • Nigeria
    • Egypt
    • Turkey
    • Israel
    • Norway
    • Poland
    • Switzerland
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Indonesia
    • Thailand
    • Philippines
    • Malaysia
    • Singapore
    • Vietnam
    • Taiwan
This research report categorizes to delves into recent significant developments and analyze trends in each of the following companies:
  • 10x Genomics, Inc.
  • Illumina, Inc.
  • Bio-Rad Laboratories, Inc.
  • Becton, Dickinson and Company
  • Standard BioTools Inc.
  • NanoString Technologies, Inc.
  • Takara Bio Inc.
  • Mission Bio, Inc.
  • IsoPlexis Corporation
  • Resolve Biosciences Ltd.

 

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Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Market Sizing & Forecasting
5. Market Dynamics
6. Market Insights
6.1. Porter’s Five Forces Analysis
6.2. PESTLE Analysis
7. Cumulative Impact of United States Tariffs 2025
8. Single-Cell Multi-Omics Market, by Technology
8.1. Introduction
8.2. Epigenomics
8.3. Metabolomics
8.4. Proteomics
8.5. Transcriptomics
9. Single-Cell Multi-Omics Market, by Applications
9.1. Introduction
9.2. Agriculture
9.3. Clinical Research
9.3.1. Cardiology
9.3.2. Immunology
9.3.3. Oncology
9.4. Diagnostics
9.5. Drug Discovery
9.5.1. Biomarker Identification
9.5.2. Target Validation
10. Single-Cell Multi-Omics Market, by End-User
10.1. Introduction
10.2. Academic & Research Institutions
10.3. CROs (Contract Research Organizations)
10.4. Hospitals & Diagnostic Centers
10.5. Pharmaceutical & Biotechnology Companies
11. Single-Cell Multi-Omics Market, by Technology Platforms
11.1. Introduction
11.2. Flow Cytometry
11.3. Mass Spectrometry
11.4. Microfluidics
11.5. Next Generation Sequencing
12. Single-Cell Multi-Omics Market, by Data Analysis & Integration
12.1. Introduction
12.2. Bioinformatics Tools
12.3. Data Management Systems
12.4. Machine Learning Algorithms
12.4.1. Supervised Learning
12.4.2. Unsupervised Learning
12.5. Statistical Analysis Software
13. Single-Cell Multi-Omics Market, by Sample Type
13.1. Introduction
13.2. Blood Samples
13.3. Cell Lines
13.4. Tissue Samples
13.5. Urine Samples
13.5.1. 24-hour Collection
13.5.2. Spot Urine
14. Single-Cell Multi-Omics Market, by Market Participants
14.1. Introduction
14.2. Instrument Manufacturers
14.3. Reagents & Consumables Suppliers
14.4. Service Providers
14.5. Software Developers
15. Single-Cell Multi-Omics Market, by Discoveries & Innovations
15.1. Introduction
15.2. CRISPR Technologies
15.3. Gene Editing Technologies
15.4. Single-Cell RNA Sequencing
16. Single-Cell Multi-Omics Market, by Challenges & Solutions
16.1. Introduction
16.2. Data Management Challenges
16.3. Data Security
16.4. Scalability Issues
17. Americas Single-Cell Multi-Omics Market
17.1. Introduction
17.2. Argentina
17.3. Brazil
17.4. Canada
17.5. Mexico
17.6. United States
18. Asia-Pacific Single-Cell Multi-Omics Market
18.1. Introduction
18.2. Australia
18.3. China
18.4. India
18.5. Indonesia
18.6. Japan
18.7. Malaysia
18.8. Philippines
18.9. Singapore
18.10. South Korea
18.11. Taiwan
18.12. Thailand
18.13. Vietnam
19. Europe, Middle East & Africa Single-Cell Multi-Omics Market
19.1. Introduction
19.2. Denmark
19.3. Egypt
19.4. Finland
19.5. France
19.6. Germany
19.7. Israel
19.8. Italy
19.9. Netherlands
19.10. Nigeria
19.11. Norway
19.12. Poland
19.13. Qatar
19.14. Russia
19.15. Saudi Arabia
19.16. South Africa
19.17. Spain
19.18. Sweden
19.19. Switzerland
19.20. Turkey
19.21. United Arab Emirates
19.22. United Kingdom
20. Competitive Landscape
20.1. Market Share Analysis, 2024
20.2. FPNV Positioning Matrix, 2024
20.3. Competitive Analysis
20.3.1. 10x Genomics
20.3.2. Agilent Technologies, Inc.
20.3.3. Akoya Biosciences
20.3.4. Becton, Dickinson and Company
20.3.5. Berkeley Lights Inc.
20.3.6. BGI Genomics Co., Ltd.
20.3.7. Bio-Rad Laboratories, Inc.
20.3.8. Bruker Corporation
20.3.9. Cytena by Bico Group
20.3.10. Danaher Corporation
20.3.11. Dolomite Bio
20.3.12. Epicypher Inc.
20.3.13. Illumina, Inc
20.3.14. Merck KGaA
20.3.15. Miltenyi Biotec B.V. & CO.
20.3.16. Mission Bio, Inc.
20.3.17. Nanostring Technologies, Inc.
20.3.18. Olink Holding AB
20.3.19. Parse Bioscience
20.3.20. Qiagen NV
20.3.21. Standard BioTools Inc.
20.3.22. Takara Holdings Inc.
20.3.23. Thermo Fisher Scientific Inc.
20.3.24. Vizgen Inc.
21. ResearchAI
22. ResearchStatistics
23. ResearchContacts
24. ResearchArticles
25. Appendix
List of Figures
FIGURE 1. SINGLE-CELL MULTI-OMICS MARKET MULTI-CURRENCY
FIGURE 2. SINGLE-CELL MULTI-OMICS MARKET MULTI-LANGUAGE
FIGURE 3. SINGLE-CELL MULTI-OMICS MARKET RESEARCH PROCESS
FIGURE 4. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 5. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 6. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 7. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2024 VS 2030 (%)
FIGURE 8. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 9. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2024 VS 2030 (%)
FIGURE 10. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 11. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2024 VS 2030 (%)
FIGURE 12. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 13. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2024 VS 2030 (%)
FIGURE 14. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 15. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2024 VS 2030 (%)
FIGURE 16. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 17. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2024 VS 2030 (%)
FIGURE 18. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 19. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2024 VS 2030 (%)
FIGURE 20. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 21. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2024 VS 2030 (%)
FIGURE 22. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 23. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2024 VS 2030 (%)
FIGURE 24. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 25. AMERICAS SINGLE-CELL MULTI-OMICS MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 26. AMERICAS SINGLE-CELL MULTI-OMICS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 27. UNITED STATES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY STATE, 2024 VS 2030 (%)
FIGURE 28. UNITED STATES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 29. ASIA-PACIFIC SINGLE-CELL MULTI-OMICS MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 30. ASIA-PACIFIC SINGLE-CELL MULTI-OMICS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 31. EUROPE, MIDDLE EAST & AFRICA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 32. EUROPE, MIDDLE EAST & AFRICA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 33. SINGLE-CELL MULTI-OMICS MARKET SHARE, BY KEY PLAYER, 2024
FIGURE 34. SINGLE-CELL MULTI-OMICS MARKET, FPNV POSITIONING MATRIX, 2024
List of Tables
TABLE 1. SINGLE-CELL MULTI-OMICS MARKET SEGMENTATION & COVERAGE
TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
TABLE 3. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, 2018-2030 (USD MILLION)
TABLE 4. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
TABLE 5. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 6. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 7. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY EPIGENOMICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 8. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY METABOLOMICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 9. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY PROTEOMICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 10. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TRANSCRIPTOMICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 11. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 12. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY AGRICULTURE, BY REGION, 2018-2030 (USD MILLION)
TABLE 13. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, BY REGION, 2018-2030 (USD MILLION)
TABLE 14. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CARDIOLOGY, BY REGION, 2018-2030 (USD MILLION)
TABLE 15. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY IMMUNOLOGY, BY REGION, 2018-2030 (USD MILLION)
TABLE 16. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY ONCOLOGY, BY REGION, 2018-2030 (USD MILLION)
TABLE 17. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 18. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DIAGNOSTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 19. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, BY REGION, 2018-2030 (USD MILLION)
TABLE 20. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY BIOMARKER IDENTIFICATION, BY REGION, 2018-2030 (USD MILLION)
TABLE 21. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TARGET VALIDATION, BY REGION, 2018-2030 (USD MILLION)
TABLE 22. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 23. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 24. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY ACADEMIC & RESEARCH INSTITUTIONS, BY REGION, 2018-2030 (USD MILLION)
TABLE 25. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CROS (CONTRACT RESEARCH ORGANIZATIONS), BY REGION, 2018-2030 (USD MILLION)
TABLE 26. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY HOSPITALS & DIAGNOSTIC CENTERS, BY REGION, 2018-2030 (USD MILLION)
TABLE 27. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES, BY REGION, 2018-2030 (USD MILLION)
TABLE 28. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 29. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY FLOW CYTOMETRY, BY REGION, 2018-2030 (USD MILLION)
TABLE 30. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MASS SPECTROMETRY, BY REGION, 2018-2030 (USD MILLION)
TABLE 31. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MICROFLUIDICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 32. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY NEXT GENERATION SEQUENCING, BY REGION, 2018-2030 (USD MILLION)
TABLE 33. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 34. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY BIOINFORMATICS TOOLS, BY REGION, 2018-2030 (USD MILLION)
TABLE 35. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA MANAGEMENT SYSTEMS, BY REGION, 2018-2030 (USD MILLION)
TABLE 36. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, BY REGION, 2018-2030 (USD MILLION)
TABLE 37. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SUPERVISED LEARNING, BY REGION, 2018-2030 (USD MILLION)
TABLE 38. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY UNSUPERVISED LEARNING, BY REGION, 2018-2030 (USD MILLION)
TABLE 39. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 40. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY STATISTICAL ANALYSIS SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
TABLE 41. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 42. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY BLOOD SAMPLES, BY REGION, 2018-2030 (USD MILLION)
TABLE 43. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CELL LINES, BY REGION, 2018-2030 (USD MILLION)
TABLE 44. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TISSUE SAMPLES, BY REGION, 2018-2030 (USD MILLION)
TABLE 45. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, BY REGION, 2018-2030 (USD MILLION)
TABLE 46. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY 24-HOUR COLLECTION, BY REGION, 2018-2030 (USD MILLION)
TABLE 47. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SPOT URINE, BY REGION, 2018-2030 (USD MILLION)
TABLE 48. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 49. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 50. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY INSTRUMENT MANUFACTURERS, BY REGION, 2018-2030 (USD MILLION)
TABLE 51. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY REAGENTS & CONSUMABLES SUPPLIERS, BY REGION, 2018-2030 (USD MILLION)
TABLE 52. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SERVICE PROVIDERS, BY REGION, 2018-2030 (USD MILLION)
TABLE 53. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SOFTWARE DEVELOPERS, BY REGION, 2018-2030 (USD MILLION)
TABLE 54. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 55. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CRISPR TECHNOLOGIES, BY REGION, 2018-2030 (USD MILLION)
TABLE 56. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY GENE EDITING TECHNOLOGIES, BY REGION, 2018-2030 (USD MILLION)
TABLE 57. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SINGLE-CELL RNA SEQUENCING, BY REGION, 2018-2030 (USD MILLION)
TABLE 58. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 59. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA MANAGEMENT CHALLENGES, BY REGION, 2018-2030 (USD MILLION)
TABLE 60. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA SECURITY, BY REGION, 2018-2030 (USD MILLION)
TABLE 61. GLOBAL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SCALABILITY ISSUES, BY REGION, 2018-2030 (USD MILLION)
TABLE 62. AMERICAS SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 63. AMERICAS SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 64. AMERICAS SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 65. AMERICAS SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 66. AMERICAS SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 67. AMERICAS SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 68. AMERICAS SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 69. AMERICAS SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 70. AMERICAS SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 71. AMERICAS SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 72. AMERICAS SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 73. AMERICAS SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 74. AMERICAS SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 75. AMERICAS SINGLE-CELL MULTI-OMICS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 76. ARGENTINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 77. ARGENTINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 78. ARGENTINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 79. ARGENTINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 80. ARGENTINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 81. ARGENTINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 82. ARGENTINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 83. ARGENTINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 84. ARGENTINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 85. ARGENTINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 86. ARGENTINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 87. ARGENTINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 88. ARGENTINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 89. BRAZIL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 90. BRAZIL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 91. BRAZIL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 92. BRAZIL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 93. BRAZIL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 94. BRAZIL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 95. BRAZIL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 96. BRAZIL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 97. BRAZIL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 98. BRAZIL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 99. BRAZIL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 100. BRAZIL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 101. BRAZIL SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 102. CANADA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 103. CANADA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 104. CANADA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 105. CANADA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 106. CANADA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 107. CANADA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 108. CANADA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 109. CANADA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 110. CANADA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 111. CANADA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 112. CANADA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 113. CANADA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 114. CANADA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 115. MEXICO SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 116. MEXICO SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 117. MEXICO SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 118. MEXICO SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 119. MEXICO SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 120. MEXICO SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 121. MEXICO SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 122. MEXICO SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 123. MEXICO SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 124. MEXICO SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 125. MEXICO SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 126. MEXICO SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 127. MEXICO SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 128. UNITED STATES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 129. UNITED STATES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 130. UNITED STATES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 131. UNITED STATES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 132. UNITED STATES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 133. UNITED STATES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 134. UNITED STATES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 135. UNITED STATES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 136. UNITED STATES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 137. UNITED STATES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 138. UNITED STATES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 139. UNITED STATES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 140. UNITED STATES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 141. UNITED STATES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
TABLE 142. ASIA-PACIFIC SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 143. ASIA-PACIFIC SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 144. ASIA-PACIFIC SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 145. ASIA-PACIFIC SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 146. ASIA-PACIFIC SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 147. ASIA-PACIFIC SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 148. ASIA-PACIFIC SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 149. ASIA-PACIFIC SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 150. ASIA-PACIFIC SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 151. ASIA-PACIFIC SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 152. ASIA-PACIFIC SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 153. ASIA-PACIFIC SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 154. ASIA-PACIFIC SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 155. ASIA-PACIFIC SINGLE-CELL MULTI-OMICS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 156. AUSTRALIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 157. AUSTRALIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 158. AUSTRALIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 159. AUSTRALIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 160. AUSTRALIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 161. AUSTRALIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 162. AUSTRALIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 163. AUSTRALIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 164. AUSTRALIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 165. AUSTRALIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 166. AUSTRALIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 167. AUSTRALIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 168. AUSTRALIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 169. CHINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 170. CHINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 171. CHINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 172. CHINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 173. CHINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 174. CHINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 175. CHINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 176. CHINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 177. CHINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 178. CHINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 179. CHINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 180. CHINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 181. CHINA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 182. INDIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 183. INDIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 184. INDIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 185. INDIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 186. INDIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 187. INDIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 188. INDIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 189. INDIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 190. INDIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 191. INDIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 192. INDIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 193. INDIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 194. INDIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 195. INDONESIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 196. INDONESIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 197. INDONESIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 198. INDONESIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 199. INDONESIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 200. INDONESIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 201. INDONESIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 202. INDONESIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 203. INDONESIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 204. INDONESIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 205. INDONESIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 206. INDONESIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 207. INDONESIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 208. JAPAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 209. JAPAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 210. JAPAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 211. JAPAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 212. JAPAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 213. JAPAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 214. JAPAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 215. JAPAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 216. JAPAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 217. JAPAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 218. JAPAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 219. JAPAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 220. JAPAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 221. MALAYSIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 222. MALAYSIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 223. MALAYSIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 224. MALAYSIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 225. MALAYSIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 226. MALAYSIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 227. MALAYSIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 228. MALAYSIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 229. MALAYSIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 230. MALAYSIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 231. MALAYSIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 232. MALAYSIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 233. MALAYSIA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 234. PHILIPPINES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 235. PHILIPPINES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 236. PHILIPPINES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 237. PHILIPPINES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 238. PHILIPPINES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 239. PHILIPPINES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 240. PHILIPPINES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 241. PHILIPPINES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 242. PHILIPPINES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 243. PHILIPPINES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 244. PHILIPPINES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 245. PHILIPPINES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 246. PHILIPPINES SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 247. SINGAPORE SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 248. SINGAPORE SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 249. SINGAPORE SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 250. SINGAPORE SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 251. SINGAPORE SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 252. SINGAPORE SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 253. SINGAPORE SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 254. SINGAPORE SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 255. SINGAPORE SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 256. SINGAPORE SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 257. SINGAPORE SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 258. SINGAPORE SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 259. SINGAPORE SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 260. SOUTH KOREA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 261. SOUTH KOREA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 262. SOUTH KOREA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 263. SOUTH KOREA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 264. SOUTH KOREA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 265. SOUTH KOREA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 266. SOUTH KOREA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 267. SOUTH KOREA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 268. SOUTH KOREA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 269. SOUTH KOREA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 270. SOUTH KOREA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 271. SOUTH KOREA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 272. SOUTH KOREA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 273. TAIWAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 274. TAIWAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 275. TAIWAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 276. TAIWAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 277. TAIWAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 278. TAIWAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 279. TAIWAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 280. TAIWAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 281. TAIWAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 282. TAIWAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 283. TAIWAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 284. TAIWAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 285. TAIWAN SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 286. THAILAND SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 287. THAILAND SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 288. THAILAND SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 289. THAILAND SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 290. THAILAND SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 291. THAILAND SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 292. THAILAND SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 293. THAILAND SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 294. THAILAND SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 295. THAILAND SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 296. THAILAND SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 297. THAILAND SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 298. THAILAND SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 299. VIETNAM SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 300. VIETNAM SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 301. VIETNAM SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 302. VIETNAM SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 303. VIETNAM SINGLE-CELL MULTI-OMICS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 304. VIETNAM SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY PLATFORMS, 2018-2030 (USD MILLION)
TABLE 305. VIETNAM SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DATA ANALYSIS & INTEGRATION, 2018-2030 (USD MILLION)
TABLE 306. VIETNAM SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
TABLE 307. VIETNAM SINGLE-CELL MULTI-OMICS MARKET SIZE, BY SAMPLE TYPE, 2018-2030 (USD MILLION)
TABLE 308. VIETNAM SINGLE-CELL MULTI-OMICS MARKET SIZE, BY URINE SAMPLES, 2018-2030 (USD MILLION)
TABLE 309. VIETNAM SINGLE-CELL MULTI-OMICS MARKET SIZE, BY MARKET PARTICIPANTS, 2018-2030 (USD MILLION)
TABLE 310. VIETNAM SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DISCOVERIES & INNOVATIONS, 2018-2030 (USD MILLION)
TABLE 311. VIETNAM SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CHALLENGES & SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 312. EUROPE, MIDDLE EAST & AFRICA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 313. EUROPE, MIDDLE EAST & AFRICA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
TABLE 314. EUROPE, MIDDLE EAST & AFRICA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY CLINICAL RESEARCH, 2018-2030 (USD MILLION)
TABLE 315. EUROPE, MIDDLE EAST & AFRICA SINGLE-CELL MULTI-OMICS MARKET SIZE, BY DRUG DISCOVERY, 201

Companies Mentioned

The companies profiled in this Single-Cell Multi-Omics market report include:
  • 10x Genomics, Inc.
  • Illumina, Inc.
  • Bio-Rad Laboratories, Inc.
  • Becton, Dickinson and Company
  • Standard BioTools Inc.
  • NanoString Technologies, Inc.
  • Takara Bio Inc.
  • Mission Bio, Inc.
  • IsoPlexis Corporation
  • Resolve Biosciences Ltd.

Methodology

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Table Information