U.S. Multiomics Market Size, Share & Trends Analysis Report By Product & Service (Instruments, Consumables), By Type (Single-cell, Bulk), By Platform, By Application, By End-use, - Industry Analysis, Size, Share, Growth, Trends, and Forecast 2024-2033

U.S. Multiomics Market Size & Trends
The U.S. multiomics market size was exhibited at USD 1.15 billion in 2023 and is projected to hit around USD 4.88 billion by 2033, growing at a CAGR of 15.56% during the forecast period 2024 to 2033.

Key Takeaways:

Based on products & services, the product segment held the largest revenue share in the market in 2023.
The service segment is anticipated to register the fastest CAGR of 17.63% over the forecast period.
The bulk multiomics segment dominated the market in 2023.
The single-cell multiomics segment is anticipated to grow at the fastest CAGR of 18.17% over the forecast period.
The genomics segment dominated the market in 2023 with a revenue share of 39.8%.
The metabolomics segment is expected to grow at the fastest CAGR over the forecast period.
The oncology segment dominated in 2023 with a market share of 40.7% in 2023 and is anticipated to grow at the fastest CAGR over the forecast period.
The neurology segment is anticipated to grow at a significant CAGR over the forecast period.
The academic & research institutes dominated the segment with a market share of 49.11% in 2023.
The pharmaceutical & biotechnology companies segment is expected to grow at the fastest CAGR over the forecast period.

Market Overview
The U.S. multiomics market is emerging as a cornerstone of modern biomedical research and clinical diagnostics, integrating multiple layers of biological information such as genomics, transcriptomics, proteomics, and metabolomics. This convergence enables researchers and clinicians to understand complex biological systems more holistically and precisely. Multiomics approaches support early disease detection, personalized medicine, and drug development by providing comprehensive datasets that reveal the interplay between various molecular mechanisms.
In the United States, the market is being fueled by a surge in investments from both public and private sectors. Significant advancements in high-throughput technologies, computational biology, and bioinformatics are enabling scalable and cost-efficient analysis of omics data. Moreover, the presence of top-tier research institutions, well-established healthcare infrastructure, and a proactive regulatory environment encourages adoption across pharmaceutical companies, research centers, and clinical laboratories.
A notable shift in healthcare from reactive to predictive and preventive models is also playing a pivotal role in expanding the market. Multiomics tools are increasingly being employed to detect diseases at an earlier stage, tailor therapies to individual patients’ molecular profiles, and understand disease progression with greater clarity. This paradigm shift is opening up expansive avenues for multiomics platforms and services in the U.S. market.
Major Trends in the Market

Rising Integration of AI and Machine Learning in Omics Analysis: AI-driven algorithms are being increasingly used to process and interpret large multiomics datasets for actionable insights.

Expansion of Single-cell Multiomics: Single-cell sequencing combined with other omics layers is transforming cell-level disease modeling, especially in oncology and immunology.

Growing Popularity of Cloud-based Bioinformatics Platforms: To manage the computational complexity of multiomics data, organizations are rapidly shifting to scalable, cloud-enabled solutions.

Pharmaceutical Collaborations with Tech Startups: A growing number of partnerships between pharmaceutical giants and multiomics startups is accelerating drug discovery and development.

Increased Application in Personalized Cancer Therapies: Multiomics is at the core of developing personalized cancer treatments, combining genetic and proteomic data for targeted intervention.

Government-funded Multiomics Initiatives: Initiatives such as the NIH’s All of Us program are promoting longitudinal studies involving genomics, proteomics, and metabolomics data.

Miniaturization and Portability of Multiomics Instruments: Hardware innovation is leading to compact instruments suitable for point-of-care and decentralized testing environments.

Report Scope of U.S. Multiomics Market

Report Coverage
Details

Market Size in 2024
USD 1.33 Billion

Market Size by 2033
USD 4.88 Billion

Growth Rate From 2024 to 2033
CAGR of 15.56%

Base Year
2023

Forecast Period
2024-2033

Segments Covered
Product & Services, Type, Platform, Application, End-use

Market Analysis (Terms Used)
Value (US$ Million/Billion) or (Volume/Units)

Regional Scope
U.S.

Key Companies Profiled
BD; Thermo Fisher Scientific, Inc.; Illumina, Inc; Danaher (Beckman Coulter); PerkinElmer, Inc; Shimadzu Corporation; Bruker; QIAGEN; Agilent Technologies, Inc.; BGI Genomics

Key Market Driver – Advancing Precision Medicine
One of the strongest drivers in the U.S. multiomics market is the growing emphasis on precision medicine. As healthcare systems strive to move away from the one-size-fits-all approach, multiomics platforms provide a powerful toolkit for customizing treatments based on an individual's molecular profile. The integration of data across multiple biological layers enables clinicians to predict disease risks, diagnose conditions earlier, and prescribe therapies that are most likely to be effective for a specific patient.
For instance, in oncology, multiomics can identify specific mutations, expression patterns, and metabolic profiles of tumors, which in turn influence the choice of chemotherapy or immunotherapy. These insights are invaluable for monitoring drug efficacy and detecting resistance mechanisms. The growing body of clinical evidence supporting the efficacy of personalized treatment strategies is driving widespread adoption of multiomics in precision medicine initiatives across leading U.S. hospitals and research networks.
Key Market Restraint – Data Integration and Interpretation Challenges
Despite its promise, one of the significant restraints in the multiomics market is the complexity associated with data integration and interpretation. Each omics layer be it genomics, proteomics, or metabolomics generates vast, heterogeneous datasets with unique formats, scales, and biological relevance. Combining these data into a coherent, interpretable structure remains a technological and analytical bottleneck.
Moreover, the lack of standardized data formats and inadequate interoperability among various software tools can lead to inconsistencies in findings. Interpreting integrated multiomics data requires interdisciplinary expertise in biology, statistics, and data science, which is still in limited supply. These challenges not only impact research timelines but also introduce regulatory hurdles for clinical adoption, especially for diagnostics and therapeutics relying on multiomics data.
Key Market Opportunity – Expansion in Immunology and Autoimmune Disease Research
The application of multiomics in immunology and autoimmune disorders presents a compelling growth opportunity in the U.S. market. Diseases such as lupus, rheumatoid arthritis, and multiple sclerosis are complex and multifactorial, involving genetic predispositions, environmental triggers, and dysregulated immune responses. Multiomics approaches can unravel these complexities by analyzing interactions between various molecular entities across different omics layers.
Emerging studies utilizing transcriptomics and proteomics in immune cells are helping researchers identify biomarkers for disease progression and treatment response. Companies and academic labs are now focusing on integrating omics data to better stratify patients and tailor immunotherapies. Given the growing incidence of autoimmune conditions in the U.S. population and the rising demand for precision immunology, this segment holds substantial untapped potential.
U.S. Multiomics Market By Product & Services Insights
The services segment dominates the U.S. multiomics market due to the increasing outsourcing of omics data processing, integration, and interpretation tasks to specialized service providers. Many academic institutes and biopharma companies prefer outsourcing due to the lack of in-house expertise and the high cost of setting up multiomics workflows. Contract research organizations (CROs) offer bundled services ranging from sample collection and sequencing to data analysis and visualization. The rise in longitudinal studies and clinical trials integrating multiomics data is further strengthening the demand for customized services.
Meanwhile, the software segment is emerging as the fastest-growing due to the critical need for data interpretation and visualization platforms. With the increasing volume of multiomics data, advanced software platforms are necessary to perform integrative analyses, enable collaboration, and generate predictive models. Software equipped with machine learning and artificial intelligence capabilities is being rapidly adopted, especially by research institutions looking to extract deeper insights from complex datasets.
U.S. Multiomics Market By Type Insights
Single-cell multiomics has taken the lead in the market, driven by its ability to deliver high-resolution insights at the cellular level. In fields like oncology, this technology is revolutionizing tumor heterogeneity analysis, enabling the identification of rare cancer cell populations and therapeutic targets. The U.S. has been a major adopter of this approach, especially in research labs focused on cancer immunotherapy and neurodegenerative diseases. Major companies like 10x Genomics are pioneering single-cell platforms that combine transcriptomics and epigenomics, further expanding its application base.
On the other hand, bulk multiomics is gaining traction in population-scale research and longitudinal studies. While it lacks the resolution of single-cell approaches, bulk multiomics is cost-effective and suitable for analyzing tissue-level responses. Its scalability makes it ideal for clinical research and drug development pipelines, particularly in studies involving thousands of samples across timepoints or patient cohorts.
U.S. Multiomics Market By Platform Insights
Genomics has remained the dominant platform within the multiomics landscape, owing to its foundational role in identifying disease-associated variants and biomarkers. Advancements in next-generation sequencing (NGS) technologies and cost reduction in genome sequencing have significantly expanded the scope of genomics-based diagnostics and therapeutics in the U.S. Genomics serves as the entry point for most multiomics workflows, often layered with transcriptomics or proteomics data for enhanced resolution.
The integrated omics platform is the fastest-growing segment due to its ability to synthesize data from multiple omics layers into a cohesive framework. These platforms are increasingly being used in systems biology, translational research, and complex disease modeling. Startups and software vendors are focusing on building integrated platforms that cater to both academic researchers and commercial pharmaceutical clients, enabling more holistic data interpretation.
U.S. Multiomics Market By Application Insights
Oncology is the dominant application area for multiomics in the U.S. market. Cancer is a multifaceted disease involving genetic mutations, epigenetic changes, protein expression variability, and metabolic shifts. Multiomics analysis enables oncologists to decode this complexity by integrating data from various biological layers. It allows for better tumor characterization, personalized treatment plans, and the identification of resistance mechanisms. Companies like Tempus and Foundation Medicine are at the forefront of integrating genomics and transcriptomics in cancer diagnostics.
Cell biology is emerging as the fastest-growing application, primarily due to its relevance in stem cell research, developmental biology, and regenerative medicine. Multiomics tools are being employed to map the cell differentiation process, understand cellular reprogramming, and design cell-based therapies. Academic researchers are increasingly using multiomics to study disease mechanisms at the cellular level, particularly in developmental disorders and neurobiology.
U.S. Multiomics Market By End-use Insights
Pharmaceutical and biotechnology companies are the largest end-users in the U.S. multiomics market. They utilize multiomics platforms for target identification, biomarker discovery, patient stratification, and drug efficacy studies. As the industry moves toward precision medicine and biologics, multiomics offers unparalleled tools for streamlining the drug development pipeline. Numerous collaborations and licensing deals between pharma companies and omics tech firms are fueling this trend.

At the same time, academic and research institutes are the fastest-growing segment. With increased federal and state funding for biomedical research, institutions are investing in multiomics technologies to explore disease etiology, develop diagnostic tools, and study treatment mechanisms. The growing emphasis on translational research is further encouraging the use of integrated omics workflows in academic labs across the U.S.
Country-Level Analysis
The U.S. has cemented its leadership in the global multiomics ecosystem due to a combination of technological innovation, robust research funding, and a mature biotechnology industry. Government programs like the National Institutes of Health (NIH) and Precision Medicine Initiative have laid the groundwork for large-scale adoption. The country is also home to top universities and research centers Harvard, Stanford, Johns Hopkins, and others that are actively developing and applying multiomics in various domains of healthcare.
Moreover, venture capital firms in the U.S. are investing heavily in multiomics startups focusing on drug development, diagnostics, and AI-powered data platforms. Regions such as Boston, San Diego, and San Francisco are acting as multiomics innovation hubs. With strong regulatory frameworks, reimbursement policies evolving in favor of molecular diagnostics, and increasing patient demand for personalized therapies, the U.S. remains a hotbed of multiomics activity and commercialization.
Recent Developments

February 2025 – 10x Genomics announced the release of its next-generation Xenium platform, enabling high-throughput spatial multiomics at single-cell resolution. The platform has already been adopted by several U.S. cancer research centers.

January 2025 – Illumina partnered with Mayo Clinic to co-develop multiomics-based diagnostics for rare genetic disorders, leveraging Illumina’s sequencing technology and Mayo’s clinical network.

November 2024 – Thermo Fisher Scientific launched a new suite of integrated omics instruments and cloud-enabled bioinformatics tools aimed at clinical research applications.

October 2024 – Bruker Corporation expanded its proteomics and metabolomics services portfolio through the acquisition of a U.S.-based AI-powered data analytics company, enhancing its capacity for integrated omics interpretation.

Some of the prominent players in the U.S. multiomics market include:

BD
Thermo Fisher Scientific, Inc.
Illumina, Inc
Danaher (Beckman Coulter)
PerkinElmer, Inc
Shimadzu Corporation
Bruker
QIAGEN
Agilent Technologies, Inc.
BGI Genomics

Segments Covered in the Report
This report forecasts revenue growth at country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Nova one advisor, Inc. has segmented the U.S. multiomics market
Product & Services

Products

Instruments
Consumables
Software

Services

Type

Single-cell Multiomics
Bulk Multiomics

Platform

Genomics
Transcriptomics
Proteomics
Metabolomics
Integrated Omics Platforms

Application

Cell Biology
Oncology
Neurology
Immunology

End-use

Academic & Research Institutes
Pharmaceutical & Biotechnology Companies
Others


Chapter 1. Methodology and Scope
1.1. Market Segmentation and Scope
1.1.1. Product & Services Segment
1.1.2. Type Segment
1.1.3. Platform Segment
1.1.4. Application Segment
1.1.5. End-use Segment
1.2. Estimates and Forecast Timeline
1.3. Research Methodology
1.4. Information Procurement
1.4.1. Purchased Database
1.4.2. Internal Database
1.4.3. Primary Research
1.5. Information or Data Analysis:
1.5.1. Data Analysis Models
1.6. Market Formulation & Validation
1.7. Model Details
1.7.1. Commodity Flow Analysis
1.8. List of Secondary Sources
1.9. List of Abbreviations
1.10. Objective
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Snapshot
2.3. Competitive Landscape Snapshot
Chapter 3. Market Variables, Trends, & Scope
3.1. Market Lineage Outlook
3.1.1. Parent Market Outlook
3.1.2. Related/Ancillary Market Outlook
3.2. Market Dynamics
3.2.1. Market Driver Analysis
3.2.1.1. The increasing interest of researchers in the field of single-cell genomics
3.2.1.2. Rising incidence of chronic diseases
3.2.1.3. Technological advancements
3.2.2. Market Restraint Analysis
3.2.2.1. High initial costs
3.2.2.2. Stringent government policies and regulations
3.3. Industry Analysis Tools
3.3.1. Porter’s Five Forces Analysis
3.3.2. PESTEL Analysis
3.3.3. COVID-19 Impact Analysis
Chapter 4. Product & Services Business Analysis
4.1. Product & Services Segment Dashboard
4.2. U.S. Multiomics Market Product & Services Movement Analysis
4.3. U.S. Multiomics Market Size & Trend Analysis, by Product & Services, 2021 to 2033
4.4. Product
4.4.1. Product market estimates and forecasts, 2021 - 2033
4.4.2. Instruments
4.4.2.1. Instruments market estimates and forecasts, 2021 - 2033
4.4.3. Consumables
4.4.3.1. Consumables market estimates and forecasts, 2021 - 2033
4.4.4. Software
4.4.4.1. Software market estimates and forecasts, 2021 - 2033
4.5. Services
4.5.1. Services market estimates and forecasts, 2021 - 2033
Chapter 5. Type Business Analysis
5.1. Type Segment Dashboard
5.2. U.S. Multiomics Market Type Movement Analysis
5.3. U.S. Multiomics Market Size & Trend Analysis, by Type, 2021 to 2033
5.4. Single-cell Multiomics
5.4.1. Single-cell multiomics market estimates and forecasts, 2021 - 2033
5.5. Bulk Multiomics
5.5.1. Bulk multiomics market estimates and forecasts, 2021 - 2033
Chapter 6. Platform Business Analysis
6.1. Platform Segment Dashboard
6.2. U.S. Multiomics Market Platform Movement Analysis
6.3. U.S. Multiomics Market Size & Trend Analysis, by Platform, 2021 to 2033
6.4. Genomics
6.4.1. Genomics market estimates and forecasts, 2021 - 2033
6.5. Transcriptomics
6.5.1. Transcriptomics market estimates and forecasts, 2021 - 2033
6.6. Proteomics
6.6.1. Proteomics market estimates and forecasts, 2021 - 2033
6.7. Metabolomics
6.7.1. Metabolomics market estimates and forecasts, 2021 - 2033
6.8. Integrated Omics Platform
6.8.1. Integrated omics platform market estimates and forecasts, 2021 - 2033
Chapter 7. Application Business Analysis
7.1. Application Segment Dashboard
7.2. U.S. Multiomics Market Application Movement Analysis
7.3. U.S. Multiomics Market Size & Trend Analysis, by Application, 2021 to 2033
7.4. Cell Biology
7.4.1. Cell biology market estimates and forecasts, 2021 - 2033
7.5. Oncology
7.5.1. Oncology market estimates and forecasts, 2021 - 2033
7.6. Neurology
7.6.1. Neurology market estimates and forecasts, 2021 - 2033
7.7. Immunology
7.7.1. Immunology market estimates and forecasts, 2021 - 2033
Chapter 8. End-Use Business Analysis
8.1. End-Use Segment Dashboard
8.2. U.S. Multiomics Market End-Use Movement Analysis
8.3. U.S. Multiomics Market Size & Trend Analysis, by End-Use, 2021 to 2033
8.4. Academic & Research Institutes
8.4.1. Academic & research institutes market estimates and forecasts, 2021 - 2033
8.5. Pharmaceutical & Biotechnology Companies
8.5.1. Pharmaceutical & biotechnology companies market estimates and forecasts, 2021 - 2033
8.6. Others
8.6.1. Others market estimates and forecasts, 2021 - 2033
Chapter 9. Competitive Landscape
9.1. Company Categorization
9.2. Strategy Mapping
9.3. Company Market Position Analysis, 2024
9.4. Company Profiles/Listing
9.4.1. BD
9.4.1.1. Overview
9.4.1.2. Financial Performance
9.4.1.3. Product Benchmarking
9.4.1.4. Strategic Initiatives
9.4.2. Thermo Fisher Scientific Inc.
9.4.2.1. Overview
9.4.2.2. Financial Performance
9.4.2.3. Product Benchmarking
9.4.2.4. Strategic Initiatives
9.4.3. Illumina, Inc
9.4.3.1. Overview
9.4.3.2. Financial Performance
9.4.3.3. Product Benchmarking
9.4.3.4. Strategic Initiatives
9.4.4. Danaher
9.4.4.1. Overview
9.4.4.2. Financial Performance
9.4.4.3. Product Benchmarking
9.4.4.4. Strategic Initiatives
9.4.5. PerkinElmer Inc.
9.4.5.1. Overview
9.4.5.2. Financial Performance
9.4.5.3. Product Benchmarking
9.4.5.4. Strategic Initiatives
9.4.6. Shimadzu Corporation
9.4.6.1. Overview
9.4.6.2. Financial Performance
9.4.6.3. Product Benchmarking
9.4.6.4. Strategic Initiatives
9.4.7. Bruker
9.4.7.1. Overview
9.4.7.2. Financial Performance
9.4.7.3. Product Benchmarking
9.4.7.4. Strategic Initiatives
9.4.8. QIAGEN
9.4.8.1. Overview
9.4.8.2. Financial Performance
9.4.8.3. Product Benchmarking
9.4.8.4. Strategic Initiatives
9.4.9. Agilent Technologies, Inc.
9.4.9.1. Overview
9.4.9.2. Financial Performance
9.4.9.3. Product Benchmarking
9.4.9.4. Strategic Initiatives
9.4.10. BGI
9.4.10.1. Overview
9.4.10.2. Financial Performance
9.4.10.3. Product Benchmarking
9.4.10.4. Strategic Initiatives

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