Latin America Multiomics Market size is projected at USD 357.38 million in 2026 and is expected to hit USD 1,188.07 million by 2034 with a CAGR of 16.2%. The industry advances from USD 307.56 million in 2025, representing an absolute increase of USD 880.51 million through 2034. Decision-making increasingly requires country-level, omics-level, application, technology, offering, and end-user data alongside competitive benchmarking to identify commercially attractive research and clinical opportunities.
Multiomics combines two or more molecular layers—including genomics, transcriptomics, proteomics, metabolomics and epigenomics—to characterize biological systems more comprehensively than single-omics approaches. The supplied country dataset places Latin America at USD 307.56 million in 2025 and USD 357.38 million in 2026. Brazil and Mexico jointly contribute approximately 76.0% of the 2026 country total. Within the supplied omics dataset, genomics contributes approximately 34.9% of USD 356.34 million in 2026, transcriptomics 19.8%, proteomics 12.3%, and metabolomics 11.0%. Multiomics increasingly integrates genomic, transcriptomic, epigenomic and proteomic information within unified research workflows.
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Multi-layer biology is moving from disconnected analytical pipelines toward cloud-based, AI-assisted integration. Illumina Connected Multiomics entered full customer release in January 2026 after input from 40 early-access users, while its February 2026 v1.1 release added AI-assisted workflow suggestions. The shift addresses datasets spanning at least 4 major molecular layers—genomics, transcriptomics, proteomics and epigenomics—and reduces dependence on manually stitching together multiple specialist tools.
Single-cell and spatial technologies are simultaneously increasing experimental scale. Parse Biosciences' 2026 Evercode Whole Transcriptome v4 supports up to 5 million cells and 384 samples in one run, while Illumina's spatial transcriptomics roadmap targets millions of cells per slide, a 9-times larger capture area and 4-times greater resolution than referenced existing technologies. These capabilities strengthen demand from oncology, drug discovery, biomarker research and precision-medicine programs.
Increasing experimental scale is accelerating adoption across pharmaceutical research and translational science. Evercode v4 can process up to 5 million cells and 384 samples per run, while QIAGEN reports Parse technologies are used by more than 3,000 customers. QIAsprint Connect can automate purification of up to 192 DNA or RNA samples per run. In proteomics, Bruker's timsUltra AIP delivers up to 35% more peptide and 20% more protein identifications, supporting higher-sensitivity single-cell workflows and increasing the quantity and complexity of biological information available for integrated analysis.
Multi-layer analysis generates substantially larger computational requirements than isolated assays, creating pressure on bioinformatics expertise, storage and instrument budgets. Commercial platforms are responding with integrated software, yet adoption still requires sequencing, mass spectrometry, sample preparation and analysis infrastructure. Recent technology development illustrates the performance-cost tradeoff: spatial systems are targeting 9-times larger capture areas and 4-times greater resolution, while advanced proteomics systems report 20% more protein and 35% more peptide identifications. Such improvements increase analytical capacity but reinforce requirements for trained personnel and scalable computing.
Population-scale research creates opportunities to connect sequencing with proteomic and clinical datasets. Thermo Fisher's 2026 collaboration with PRECISE-SG100K integrates population-scale proteomics with a major biobank initiative, while QIAGEN expects Parse to contribute approximately USD 40 million in 2026 sales following its approximately USD 225 million upfront acquisition, with potential milestone payments of up to USD 55 million. These investments demonstrate commercial momentum around scalable single-cell, AI and biomarker platforms that can be adapted to increasingly diverse population datasets.
Interoperability remains difficult as laboratories combine sequencing, single-cell, proteomics and metabolomics outputs generated at different scales. A single Evercode v4 workflow can cover 384 samples and 5 million cells, while biocrates assays acquired by Bruker cover more than 1,000 metabolites across over 40 metabolite classes. Harmonizing metadata, normalization, quality control and clinical interpretation across these highly dimensional datasets remains a central technical challenge despite rapid progress in cloud and AI-enabled analytical platforms.
| Report Metric | Details |
|---|---|
| Market Size in 2025 | USD 307.56 Million |
| Market Size in 2026 | USD 357.38 Million |
| Market Size in 2034 | USD 1188.07 Million |
| CAGR | 16.2% (2026-2034) |
| Base Year for Estimation | 2025 |
| Historical Data | 2022-2024 |
| Forecast Period | 2026-2034 |
| Report Coverage | Revenue Forecast, Competitive Landscape, Supply Chain Disruption, Growth Factors, Environment & Regulatory Landscape and Trends |
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The industry is segmented by omics type, application, technology, offering and end user. Based on supplied numerical data, genomics represents approximately 34.9% of the USD 356.34 million omics total in 2026, followed by transcriptomics at approximately 19.8%. Proteomics accounts for approximately 12.3%, metabolomics 11.0%, epigenomics 9.1%, lipidomics 6.4% and microbiomics 6.4%.
Genomics is the largest supplied category, increasing from USD 107.46 million in 2025 to USD 124.34 million in 2026 and USD 399.56 million by 2034 at 15.71% CAGR. Transcriptomics follows at USD 70.55 million in 2026 and USD 225.13 million by 2034, reflecting a 15.61% CAGR.
Lipidomics records the fastest supplied CAGR at 16.40%, advancing from USD 22.84 million in 2026 to USD 76.96 million by 2034. Microbiomics follows at 16.30%, while proteomics expands at 16.09% and metabolomics at 16.03%.
Applications comprise drug discovery and development, precision medicine and personalized therapy, biomarker identification, clinical diagnostics, agriculture and crop research, nutrigenomics, infectious-disease surveillance and systems-biology research. The input provides 8 application categories but no application-level revenue or CAGR figures; consequently, numerical subsegment values are not extrapolated or fabricated.
Technology segmentation covers 6 categories: next-generation sequencing, mass spectrometry, microarrays, single-cell analysis, real-time PCR and integration platforms. NGS supports genomic and transcriptomic profiling, while mass spectrometry enables proteomic, metabolomic and lipidomic workflows. No technology-specific revenue or CAGR data were supplied, so quantitative leadership is not assigned.
The offering landscape comprises 3 categories—software and services, instruments and consumables. Cloud analytics and AI are strengthening software integration, while sequencing and mass-spectrometry systems remain core laboratory infrastructure. The supplied tables contain no offering-level monetary values or CAGR, preventing unsupported quantitative ranking.
The 5 specified end-user groups are pharmaceutical and biotechnology companies, academic and research institutions, contract research organizations, hospitals and clinics, and government and public-health agencies. Their requirements range from discovery-scale screening to clinical diagnostics and surveillance; however, no end-user revenue or CAGR values were provided.
The supplied regional instruction lists UAE, Turkey, Saudi Arabia, South Africa, Egypt and Nigeria, which are outside Latin America and have no values in the mandatory dataset. To preserve geographic and numerical integrity, the outlook therefore covers the five supplied Latin America countries rather than fabricating figures for unrelated geographies.
Brazil leads at USD 137.91 million in 2026 versus USD 118.35 million in 2025 and is forecast at USD 468.93 million by 2034, registering 16.53% CAGR. It represents approximately 38.6% of the USD 357.38 million 2026 supplied country total.
Mexico reaches USD 133.82 million in 2026 from USD 115.24 million in 2025 and is projected at USD 442.35 million by 2034. Its approximately 37.4% contribution in 2026 and 16.12% CAGR position it close behind Brazil.
Argentina contributes approximately 10.0% of the supplied 2026 total, with revenue rising from USD 30.76 million in 2025 to USD 35.67 million in 2026. The country is projected to reach USD 116.62 million by 2034 at 15.96% CAGR.
Colombia reaches USD 24.94 million in 2026 and USD 80.80 million by 2034 at 15.83% CAGR, while Chile advances from USD 25.04 million to USD 79.37 million at 15.51%. Together, the two countries contribute approximately 14.0% of the supplied 2026 country total.
A verified Latin America company-level percentage share is not available in the supplied dataset and therefore is not fabricated. Illumina maintains strong positioning through NGS, single-cell, spatial and integrated analytics. Connected Multiomics launched commercially in January 2026 after engagement with 40 early-access users, followed by AI-assisted functionality in v1.1. Its spatial roadmap targets a 9-times larger capture area and 4-times greater resolution, supporting integration across genomic, transcriptomic and epigenomic research.
No verified company-level Latin America percentage is supplied, so a numerical competitive share cannot responsibly be assigned. Thermo Fisher is positioned across mass spectrometry, proteomics, sequencing-related workflows and analytical software. At ASMS 2026, it introduced Orbitrap Tribrid Apex and Orbitrap Excedion systems alongside AI-enabled analytics and Olink proteomics, strengthening population-scale and drug-discovery workflows. Its PRECISE-SG100K collaboration further expands integration of proteomic, clinical and population datasets.
The assessment applies a base year of 2025, current year of 2026 and forecast horizon of 2026–2034. Mandatory country and omics figures were taken directly from the supplied tables, while calculated percentages use those figures without altering source values. Public primary-company materials were used for technology, competitive and development context. Where application, technology, offering, end-user or company-level Latin America revenues were not supplied or independently verified, no unsupported numerical estimates were created. The resulting framework evaluates 5 supplied Latin America countries, 7 omics categories, 8 applications, 6 technologies, 3 offerings and 5 end-user categories.
Senior Market Research Analyst | 8 Years Experience | Digital Therapeutics and Connected Medical Devices
Jenny specializes in digital therapeutics, remote monitoring devices and healthcare IT platforms. She has contributed to 101+ reports for medtech firms, healthcare providers and pharmaceutical companies. Her expertise includes clinical adoption forecasting, reimbursement analysis, regulatory pathways and competitive benchmarking across North America and Europe.