PUBLISHER: IMARC | PRODUCT CODE: 1800768
PUBLISHER: IMARC | PRODUCT CODE: 1800768
The global proteomics market size reached USD 41.5 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 139.4 Billion by 2033, exhibiting a growth rate (CAGR) of 13.68% during 2025-2033. North America currently dominates the market, driven by its robust research infrastructure and strong presence of pharmaceutical and biotech companies. The market is primarily driven by rapid technological advancements in mass spectrometry, increasing incidents of chronic diseases, and rapid shift towards personalized medicines. Moreover, increasing integration of machine learning (ML) and artificial intelligence (AI) are upgrading protein analysis and data interpretation.
The proteomics market is expanding due to the rise of single-cell proteomics, which offers deep insights into cellular heterogeneity, enabling more accurate disease modeling and therapeutic targeting. Collaborations between academic institutions and biotech companies are accelerating innovations, allowing quicker translation of research into practical diagnostic and therapeutic solutions. Technological advancements in mass spectrometry, protein microarrays, and NGS are also enhancing data accuracy, throughput, and cost-efficiency. Improved automation and miniaturization of proteomics instruments are refining efficiency, reducing sample volumes, and lowering operational costs. Moreover, the integration of proteomics with other omics platforms like genomics and metabolomics is enabling comprehensive biological analysis, further broadening its applications. Government funding, regulatory support for biomarker discovery, and increasing utilization of proteomics in agriculture and environmental monitoring are also contributing to the market growth.
Growing incidence of chronic and infectious diseases
High incidence of chronic and infectious ailments is significantly fueling the growth of the market. As conditions like cancer, diabetes, cardiovascular disorders, and infectious diseases are becoming more widespread, there is a rising need to understand disease mechanisms at the molecular level. As per the NIH, in 2024, it was anticipated that there would be 2,001,140 new cancer cases in the United States. Proteomics enables researchers and clinicians to identify disease-specific biomarkers, monitor disease progression, and develop targeted therapies. It also aids in early diagnosis, which is critical in managing chronic illnesses effectively. The demand for personalized medicine and precision treatment is further promoting the use of proteomics tools, as they allow a deeper analysis of protein interactions and functions.
Increasing pharmaceutical R&D activities
The growing pharmaceutical R&D activities are positively influencing the market. As stated in the Swiss Biotech Report 2025, R&D expenditure in Switzerland amounted to SFr2.6 Billion (USD 3.16 Billion) in 2024, with SFr1.4 Billion contributed by private companies. As pharmaceutical companies are wagering on drug discovery and development, there is a rising demand for advanced tools that can offer insights into protein structures, functions, and interactions. Proteomics enables researchers to identify and validate potential drug targets, understand disease pathways, and assess drug efficacy and toxicity at the molecular level. With a strong focus on developing targeted therapies, proteomics is becoming essential for detecting disease-specific biomarkers and tailoring treatments accordingly. Additionally, the adoption of biologics and biosimilars has further intensified the need for precise protein analysis.
Rising AI adoption
Increasing AI adoption is streamlining data analysis, improving pattern recognition, and accelerating biomarker discovery. As per the IMARC Group, the global AI market size was valued at USD 115.62 Billion in 2024. Proteomics generates massive, complex datasets that require advanced computational tools for accurate interpretation. AI algorithms, particularly ML, help identify subtle protein expression patterns linked to specific diseases, enabling faster and more precise diagnostics and drug development. AI also enhances predictive modeling in personalized medicine by integrating proteomic data with other biological datasets. This technological synergy reduces research timelines and boosts efficiency in both academic and pharmaceutical research. Furthermore, AI-oriented automation minimizes human error and lowers operational costs. As organizations are integrating AI into their proteomics workflows, innovations in disease detection and treatment continue to advance rapidly. According to the proteomics market report, this technological trend plays an important role in shaping the future of the industry.
Partnerships between academic institutes and biotech companies
Increasing alliances between academic institutes and biotech companies are significantly bolstering the proteomics market growth by combining research innovations with commercial execution. Academic institutions offer deep scientific knowledge and cutting-edge discoveries, while biotech firms provide resources, infrastructure, and expertise to translate these findings into market-ready applications. Such partnerships accelerate the development of novel proteomic technologies, diagnostic tools, and therapeutics. Joint ventures help bridge the gap between basic research and real-world clinical needs, leading to faster innovation cycles. These collaborations often attract funding from both public and private sectors, enabling large-scale proteomic studies and advanced biomarker identification. The shared access to talent, equipment, and databases is further strengthening research output and commercial potential.
Emergence of single-cell proteomics
The emergence of single-cell proteomics is allowing researchers to analyze proteins at an individual cell level, offering insights into cellular heterogeneity and disease mechanisms. Unlike bulk analysis, which averages signals from numerous cells, single-cell techniques capture the unique proteomic profile of each cell, enabling deeper understanding of cell behavior, immune responses, and cancer progression. This level of granularity is crucial for developing personalized medicine, as it helps identify rare cell types or subpopulations involved in disease. The growing utilization of high-resolution mass spectrometry and microfluidic platforms has made single-cell proteomics more feasible and scalable. As researchers and pharmaceutical companies are adopting this approach, it is opening new avenues for biomarker discovery and therapeutic targeting.
Technological advancements in NGS
Technological advancements in NGS are enhancing multi-omics integration and expanding the depth of biological insights. While NGS is primarily used for genomic and transcriptomic analysis, its synergy with proteomics allows a more complete understanding of cellular function. Researchers can correlate gene expression data with protein expression and modifications, leading to improved biomarker identification and disease modeling. Innovations, such as single-cell sequencing and spatial transcriptomics, are enabling high-resolution mapping of gene and protein networks within tissues. These technologies make it easier to design proteomic experiments informed by genomic context, enhancing accuracy and relevance. The widespread availability of NGS also fosters data-driven research strategies, driving the demand for complementary proteomics tools. As NGS platforms are evolving, they continue to support and broaden applications in the proteomics market.
Structural proteomics is concerned with detailed analysis of protein interactions, structures, and functions. This field is required for studying disease mechanism and drug development. Advanced instruments and techniques boost growth, facilitating high-resolution structural comprehensions. Leading research institutions and companies are globally investing in structural proteomics to develop innovative therapeutic solutions.
Functional proteomics emphasizes on recognizing protein interactions and functions within a biological context. This discipline leverages advanced techniques to examine the dynamics of protein modifications, activities, and networks. In the global proteomics market, functional proteomics plays a crucial role by spurring innovations in personalized medicine, drug discovery, and disease diagnostics. By offering discernments into protein pathways and mechanisms, it encourages the development of targeted therapies and biomarker identification, substantially improving the efficacy and accuracy of medical treatments.
Protein expression proteomics examines the qualitative and quantitative aspects of protein formation within cells. It includes high-throughput techniques to compare and profile protein expression levels across various treatments or conditions. In the global proteomics market outlook, this subfield is pivotal for comprehending disease mechanisms, identifying biomarkers, and innovating novel therapeutic strategies. The proficiency of monitoring protein expression changes in response to numerous stimuli facilitates the development of enhanced and effective personalized medical initiatives and early detection of diseases.
Core proteomics services include the protein identification, quantification, and analysis by leveraging advanced techniques such as chromatography and mass spectrometry. These services permit researchers to interpret complex protein interactions and functions, streamlining discoveries in therapeutic targets, disease mechanisms, and biomarker identification. Specialization in data acquisition, interpretation, and sample preparation is crucial for accurate results.
Bioinformatics software and related services provide crucial tools for data visualization and analysis. These services feature algorithms for protein structural prediction, sequence alignment, and functional annotation. Incorporating bioinformatics with proteomics propels research by reconfiguring raw data into meaningful biological insights, endorsing advancements in drug development and personalized medicine. For instance, in October 2023, Ionpath, a high-definition spatial proteomics developer, launched user-friendly bioinformatics tools named MIBIplus and MIBIsight that offers controlled data interpretation by using mass spectrometry to study various proteins associated with immune-oncology.
Protein microarrays represent the leading market segment
Protein microarrays demonstrate a high-throughput platform in proteomics market, allowing simultaneous analysis of numerous protein samples. By immobilizing proteins on solid surfaces, these arrays foster rapid quantification and detection, promoting therapeutic development, biomarker discovery and diagnostics within the global proteomics market. For instance, in February 2024, Infinity Bio launched new technology, based on MIPSA technology, that leverages protein microarray method to analyze antibody-antigen binding. Maryland-based PTX Capital and Blackbird BioVentures granted USD 4 million fund to Infinity for the development of this technology, allowing the production of large arrays of proteins or peptides in a highly programmed manner. It also aids in combining full-length proteins and peptides in a single reaction, which allows researchers to study antibodies interaction with the 3D structure of full proteins and collect information on the specific peptide sequences that function as antibody epitopes.
Protein expression profiling is a pivotal technique permitting the quantification and identification of proteins within a specific biological sample. This process offers valuable analysis of disease mechanisms and cellular functions, promoting the development of personalized medicine and targeted therapeutics by locating specific protein markers associated with numerous conditions.
Proteome mining is an inclusive approach that encompasses the systematic assessment of the entire proteome to discover novel proteins and apprehend their functions. This method propels advancements in drug development and biomarker discovery, presenting an in-depth understanding of potential therapeutic targets and biological processes for numerous diseases.
Post-translational modification (PTM) analysis targets the chemical modifications post the synthesis of proteins. These modifications greatly influence protein stability, function, and interactions. In the global proteomics market, PTM analysis aids in elucidating complex regulatory mechanisms, promoting the development of innovative diagnostics and treatments.
Research organizations dominate the market
By utilizing proteomic data, research organizations uncover new drug targets, expound disease mechanisms, and boost the development of effective treatments, consequently spurring advancements in biotechnological and pharmaceutical sectors. For instance, in July 2024, Olink Holding AB, a leading proteomics company, launched its network of Olink Certified Service Providers that will represent service labs and contract research organization (CROs) worldwide.
North America leads the market, accounting for the largest proteomics market share
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America represents the largest regional market, holding the largest share of the proteomics market revenue.
The market in North America is undergoing notable growth, principally driven by significant investments in research and development, and upgraded healthcare infrastructure. Furthermore, the increasing incidents of chronic diseases and intensifying focus on personalized medicine is boosting the market growth. In additional, robust support by government and funding initiatives escalate the utilization of proteomics technology in academic and clinical research. For instance, in September 2023, Multiomics CRO Psomagen launched its Spatial Biology services for 10X Genomics Xenium in North America. Psomagen's Xenium Service integrates various omics platforms, including proteomics, genomics, and transcriptomics.
(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)