Multiomics-based Drug Discovery And Development: Emerging Opportunities & Competitive LandscapeReport

Multiomics-based Drug Discovery And Development: Emerging Opportunities & Competitive Landscape

  • Published: Oct, 2025
  • Report ID: GVR-MT-100457
  • Format: PDF/Excel databook
  • No. of Pages/Datapoints: 50
  • Report Coverage: 2024 - 2030

Report Overview

The drug discovery and development landscape is undergoing a paradigm shift, driven by the convergence of multiomics technologies including genomics, transcriptomics, proteomics, metabolomics, and epigenomics. These integrative approaches provide a comprehensive molecular understanding of disease biology, enabling the discovery of novel drug targets, predictive biomarkers, and patient stratification strategies with unprecedented precision.

Multiomics-based approaches are accelerating the transition from one-size-fits-all therapies to precision and systems medicine. Advances in next-generation sequencing (NGS), mass spectrometry, single-cell technologies, and computational biology have made it feasible to generate, integrate, and analyze large-scale omics datasets. When combined with AI and machine learning, multiomics can uncover complex biological networks and causal mechanisms that traditional methods often overlook.

While adoption is rapidly increasing, challenges remain in terms of data integration, standardization, clinical validation, and regulatory acceptance. Nonetheless, multiomics is attracting significant attention from pharmaceutical companies, biotech startups, and research consortia aiming to de-risk R&D pipelines and improve drug efficacy and safety profiles.

Application Insights

Multiomics is transforming every stage of the drug development value chain-from target identification to post-marketing surveillance. By integrating different omics layers, researchers can better understand disease heterogeneity and tailor therapeutic interventions accordingly.

Table 1: Key application areas for omics technologies

Application Area

Omics Technologies

Key Functions

Example Companies

Target Discovery

Genomics, Proteomics

Identification of disease-driving genes and proteins

Insitro, Verge Genomics

Biomarker Discovery

Transcriptomics, Metabolomics

Stratification of patient subgroups, prediction of drug response

SomaLogic, Caris Life Sciences

Mechanism of Action

Proteomics, Metabolomics

Unraveling biological pathways and drug mechanisms

Biognosys, Evotec

Clinical Trial Optimization

Multiomics + AI

Patient selection, toxicity prediction, responder analysis

Tempus, Owkin

Personalized Therapies

Genomics, Epigenomics

Tailored treatments based on individual molecular profiles

Foundation Medicine, Helix

 

Key Growth Areas

The evolution of multiomics is being driven by innovations in both wet lab and computational domains. As technologies mature, they are enabling deeper biological insights and more robust translational applications.

 

Technology

Key Benefit

Use Case Example

Notable Players

Single-cell Multiomics

High-resolution cellular insights

Tumor heterogeneity profiling

10x Genomics, Mission Bio

Spatial Transcriptomics

Spatial context of gene expression

Tumor microenvironment mapping

NanoString, Vizgen

AI-based Integration

Predictive disease modeling

Drug response prediction

Owkin, PathAI

Cloud-based Analysis Platforms

Scalable, collaborative analytics

Cross-institutional drug studies

DNAnexus, Lifebit

Metabolomics Platforms

Real-time metabolic profiling

Metabolic biomarkers

Metabolon, Nightingale Health

 

Commercialization Landscape

With multiomics entering clinical and translational research workflows, the commercial landscape is expanding rapidly. Several pharma companies are forming strategic partnerships with omics tech providers and bioinformatics firms to co-develop precision therapies and diagnostics.

  • Big Pharma Partnerships: Roche’s acquisition of Flatiron Health and Foundation Medicine reflects a strategic shift toward data-driven R&D. Similarly, Pfizer, Novartis, and Merck are investing in multiomics-based platforms to bolster oncology and rare disease pipelines.

  • Startup Activity: AI-native drug discovery startups like Insitro, Recursion, and Deep Genomics are integrating multiomics data from the outset, redefining early-stage R&D.

  • Research Collaborations: Initiatives like the UK Biobank and NIH's All of Us program are building massive multiomics datasets for population-scale drug discovery. 

Competitive Analysis: Thermo Fisher Scientific, Inc.

Company Overview:

  • Headquarter: Massachusetts, U.S.

  • Establishment Year: 1956

  • Employee Strength: 125,000

  • Business Overview: Thermo Fisher Scientific, Inc. is a global leader in the life sciences and biotechnology industry, offering a comprehensive suite of products and services that empower researchers across the multiomics landscape including genomics, transcriptomics, proteomics, metabolomics, and epigenomics. The company plays a pivotal role in enabling multiomics-based drug discovery and precision medicine by providing advanced instrumentation, reagents, analytical platforms, and bioinformatics tools.

Its offerings in the multiomics market include:

  • Next-Generation Sequencing (NGS) systems (Ion Torrent platform)

  • Mass Spectrometry and Chromatography systems for proteomics and metabolomics

  • Microarray technologies, RNA-seq, and single-cell omics solutions

  • Cloud-based data analysis platforms (e.g., Thermo Fisher Connect)

  • Bioinformatics pipelines for multi-layered omics data integration

Thermo Fisher serves pharmaceutical and biotech firms, academic institutions, clinical research organizations, and government agencies working in target discovery, biomarker identification, clinical diagnostics, and patient stratification. With continuous innovation and acquisitions (e.g., PPD, Patheon), Thermo Fisher is strategically positioned to capitalize on the growing demand for integrated multiomics solutions in drug development pipelines.

SWOT Analysis

 

SWOT Analysis - Thermo Fisher Scientific, Inc.

Strengths

Weaknesses

  • Market leadership in genomics, proteomics, and metabolomics technologies through advanced platforms (e.g., Orbitrap MS, Ion Torrent).
  • Vertical integration across the drug development lifecycle, from discovery to manufacturing.

 

  • High-cost infrastructure may limit adoption of high-end systems in emerging markets.
  • Integration across omics data layers remains complex, with some limitations in end-to-end multiomics workflows.

Opportunities

Threats

  • Expanding demand for precision medicine and systems biology approaches opens new revenue streams in pharma R&D.
  • Strategic partnerships with hospitals, research consortia, and AI-driven drug discovery startups can accelerate adoption of multiomics-based workflows.

 

  • Competition from specialized omics technology providers (e.g., Illumina in genomics, Bruker in proteomics).
  • Data privacy regulations and lack of harmonized standards could slow market uptake of cloud-based multiomics platforms.

 

Financial Performance

Key Financials (Thermo Fisher Scientific, Inc.)

2024 (USD million

2023 (USD million)

2022 (USD million)

Revenue

42,879

42,857

44,915

Operating Income/Loss

7,338

6,859

8,393

EBIT/EBITA

7,037

6,298

7,835

Net Income/Loss

6,335

5,955

6,960

 

List of top 15 companies involved in multiomics-based drug discovery & development industry:

  • Thermo Fisher Scientific 

  • Illumina 

  • Bruker Corporation 

  • Agilent Technologies 

  • 10x Genomics 

  • SomaLogic 

  • Nightingale Health 

  • NanoString Technologies 

  • Insitro 

  • Verge Genomics 

  • Recursion Pharmaceuticals 

  • Owkin 

  • Deep Genomics 

  • Foundation Medicine

  • Caris Life Sciences

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