The global single-cell omics market size was evaluated at US$ 4.16 billion in 2023 and is expected to attain around US$ 35.11 billion by 2033, growing at a CAGR of 23.96% from 2024 to 2033.

The development of high-throughput single-cell sequencing technology has catalyzed the emergence of single-cell omics as a potent tool for understanding cellular mechanisms and refining our knowledge of diverse cell states. This technology enables the identification of multiple risk genes associated with diseases such as Parkinson’s, ALS, and schizophrenia through transcriptomics analysis.

Moreover, single-cell genome and scRNA-seq reveal how somatic mutations accumulate with age and disease, while chromatin modification analysis highlights the increase in chromatin marker variation with aging, leading to a loss of transcriptional regulation. These factors collectively drive the growth of the single-cell omics market by providing a comprehensive and clear picture of aging-related research and enhancing our understanding of biological regulatory networks.

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Market Overview

The rapid growth of the single-cell omics market is driven by the unique insights it provides into cellular heterogeneity across tissues. Unlike traditional omics analyses conducted on whole tissues or organs, single-cell omics allows for the examination of individual cells, offering a more detailed understanding of molecular states. Omics encompasses various molecular analyses, including genomics, transcriptomics, proteomics, lipidomics, and metabolomics. Transcriptomics, for instance, examines the expression patterns of numerous genes rather than focusing on a single gene, providing comprehensive insights into cellular regulation mechanisms.

With advancements in single-cell isolation and molecular technologies, omics analyses can now be conducted at single-cell resolution. This approach unveils the diverse molecular states of cells within tissues, offering valuable insights into cellular heterogeneity.

Single-cell omics methods offer several advantages over bulk methods, particularly in understanding tumor heterogeneity, a crucial topic in oncology research. Tumors comprise not only tumor cells but also various immune cells in their microenvironment. Single-cell transcriptomics, along with other omics analyses, elucidates the intricate interactions between different cell types within tumors.

Key Insights

• North America has accounted revenue share of 47.14% in 2023.
• U.S. single-cell omics market size was valued at USD 2.92 billion in 2023
• U.S. single-cell omics market size is expected to be worth around USD 25.11 billion by 2033 and growing at a CAGR of 24.2% from 2024 to 2033.
• Asia Pacific expected to expand at the fastest-growing CAGR.
• By product, the single-cell genomics segment dominates the global market.
• By application, the oncology segment held the largest share of the market in 2023.
• By end-user, the academic and research organizations segment accounted 43% revenue share in 2023.

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Regional Stance

North America stands at the forefront of the global single-cell omics market, driving innovation and application in this dynamic field. With its exciting and multi-faceted nature, single-cell omics offers invaluable insights to both scientists and clinicians, addressing fundamental questions in various disciplines. The rapid growth witnessed in North America can be attributed to the widespread adoption of next-generation sequencing (NGS) and third-generation sequencing technologies. These advancements have enabled genomic analysis at the single-cell level, opening new avenues for research and discovery.

An intriguing trend in the region is the emergence of single-cell multiomics, which seeks to enhance efficiency and data quality by studying multiple analytes simultaneously. This approach encompasses combined analysis, sample splitting, and the conversion of one class of analytes into another, fostering deeper insights into cellular processes.

Advances in omics technologies have facilitated the generation of highly contiguous genome assemblies, transcript detection, metabolite analysis at the single-cell level, and the precise determination of gene regulatory features.

The proposed research programs in North America are addressing the growing demand for biotechnology personnel by training highly skilled and multidisciplinary individuals. This initiative not only provides direct training opportunities but also stimulates additional funding through grants and economic ventures. Consequently, it attracts and cultivates a larger pool of researchers and highly skilled technicians, bolstering the region’s position as a leader in single-cell omics research and application.

The Asia-Pacific region is witnessing rapid growth in the single-cell omics market, driven by several key factors. Significant advancements in single-cell analysis have effectively addressed the challenges associated with cellular heterogeneity, particularly within large and diverse populations. These advancements have led to unbiased, high-throughput, and high-resolution characterization of cellular heterogeneity at the individual cell level, propelling research and applications forward.

The region has experienced swift progress in genetic and genomic technologies, transforming healthcare services across low and middle-income countries (LMICs) in the Asia-Pacific. Initially focused on population-based disease prevention strategies, genetic services have evolved to encompass clinic-based and therapeutics-oriented approaches. Despite initial struggles with noncommunicable diseases, many LMICs are now adapting to meet the demands of clinical genetic services.

Report Highlights

The single-cell genomics segment, in 2023, represented as the leading segment within the market, offering researchers unparalleled capabilities to study individual cells. These cutting-edge genomic technologies provide unprecedented resolution, enabling the detailed exploration of cellular composition, identities, and states within tissues. Advancements in single-cell genomic technologies have reached a point where researchers can analyze samples at a population level, across thousands of individuals simultaneously. This scalability opens up new avenues for understanding the genetic underpinnings of various biological processes and diseases.

The integration of single-cell information with genotype data on such a large scale offers significant opportunities to uncover links between genetic variation and cellular processes, shedding light on key aspects of human biology and disease pathology. Relatively young age, the field of single-cell genomics has matured rapidly. Originating from pioneering experiments that initially allowed for the detection of gene expression in single cells using microarrays, the field has now entered its teenage years, demonstrating clear signs of maturity and continued growth.

By Application

The oncology segment held a significant share of the market in 2023. In the field of oncology, single-cell multi-omics technologies are poised to dominate during the forecast period, offering transformative capabilities in cancer research. These technologies have revolutionized our approach by enabling the examination of individual cells at a molecular level, providing insights that were previously unattainable. Unlike traditional bulk omics approaches that analyze populations of cells collectively, single-cell multi-omics allows for the precise exploration of tumor heterogeneity. By uncovering the unique molecular characteristics of different cell populations within tumors, researchers can identify rare subpopulations of cells that play crucial roles in tumor growth, metastasis, and resistance to therapy.

By End User

In the single-cell omics market, the academic and research organizations segment held the largest share driving innovation and advancement in the field. Through single-cell omic methodologies, scientists can map disease-associated SNPs or genes to specific cell types at the single-cell level, unveiling the heterogeneity among cells across multiple omic levels and elucidating their various associations and variations. These insights offer new avenues for functional genetic research in human diseases and animal models, shaping the direction of scientific inquiry and therapeutic development.

Single-cell analyses represent a complex and multidisciplinary approach that draws upon fundamental knowledge from biology, medicine, chemistry, physics, informatics, and associated technologies. This burgeoning research field is evolving from traditional omics studies conducted on populations of thousands to millions of cells, which often provide limited sensitivity for detecting biomolecules.

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Market Dynamics

Single-cell omics applications in precision medicine

Single-cell omics applications are driving significant growth in the market, particularly in fields such as pre-implantation development, brain science, cancer research, and drug development. For instance, in rare diseases like Primary Central Nervous System Lymphoma (PCNSL), single-cell RNA sequencing and spatial transcriptomics reveal intratumor heterogeneity, aiding in personalized treatment strategies. Similarly, in Cutaneous T-cell Lymphoma (CTCL), single-cell analysis unveils molecular drivers and microenvironmental interactions, paving the way for precision medicine approaches. With advancements in reproductive biology, developmental biology, and precision medicine, single-cell omics is poised to play an increasingly pivotal role in human growth, development, and tumor research, thus propelling market growth.

Privacy concerns and ethical challenges

Privacy concerns and ethical dilemmas surrounding the leakage of genetic information pose significant restraints on the growth of the single-cell omics market. With modern multi-modal sequencing platforms like bulk RNA sequencing (RNA-seq), single-cell RNA sequencing (scRNA-seq), and spatial transcriptomics, there’s an increased risk of exposing potentially private genetic data as more datasets are published. Moreover, the widespread application of machine learning (ML), particularly deep learning, exacerbates these concerns by leveraging large datasets for various purposes such as genomics and healthcare. The evolving landscape of ML models and applications further limits the market growth by raising ethical questions regarding data privacy and genetic discrimination.

Recent advances in single-cell omics technologies present a significant opportunity for market growth by revolutionizing molecular profiling. These cutting-edge techniques offer high-resolution insights into cellular heterogeneity and complexity, surpassing the limitations of traditional bulk omics approaches. By analyzing individual cells, single-cell omics studies unveil diverse cell types, dynamic cellular states, and rare cell populations with unprecedented resolution and sensitivity. The integration of multimodal omics data within a single cell enhances our understanding of cellular processes by providing a comprehensive view of molecular landscapes. This integrative approach enables researchers to elucidate complex cellular interactions, regulatory networks, and molecular mechanisms, from development to disease. As single-cell omics continues to advance, it opens up new opportunities for innovation and discovery in various fields, driving market growth and expanding its applications in molecular profiling.

Recent Developments

· In April 2023, Fulgent Genetics unveiled the Mission Bio Platform, aimed at broadening the accessibility of single-cell multi-omics for drug development and clinical research.

· In August 2023, Scale Biosciences expanded its commercial reach by introducing innovative single-cell methylation and single-cell RNA sequencing solutions.

· In April 2024, BioBam launched OmicsBox 3.2, simplifying single-cell transcriptomics.

Key Players in the market

• 1CellBio
• Celsee, Inc
• QIAGEN N.V
• Illumina, Inc
• 10X Genomics, Inc
• GE LifeSciences
• Mission Bio
• Takara Bio
• Fluidigm Corporation
• Bio-Rad Laboratories, Inc
• NanoString Technologies, Inc
• Fluxion Biosciences
• BGI Genomics Co. Ltd

Market Segmentation

• By Product
  • Single-Cell Genomics
  • Single-Cell Proteomics
  • Single-Cell Metabolomics
  • Single-Cell Transcriptomics

• By Application
  • Immunology
  • Cell Biology
  • Oncology
  • Neurology

• By End-User
  • Hospital and Diagnostic Laboratories
  • Academic and Research Organizations
  • Pharmaceutical & Biotechnology Companies
  • Others

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