Table of Content

1.0 Strategic Imperatives
1.1 The Strategic Imperative 8™
1.2 The Strategic Imperative 8™
1.3 The Impact of the Top 3 Strategic Imperatives on Omics Technologies in Drug Discovery
1.4 Growth Opportunities Fuel the Growth Pipeline Engine™
1.5 Research Methodology

2.0 Growth Environment Analysis
2.1 Research Context
2.1 Research Context (continued)
2.2 Findings
2.2 Findings (continued)
2.3 Omics Technologies Help Researchers Understand Diseases and Develop Therapies
2.4 Genomics is One of the Most Widely Used Omics Technologies
2.5 Glycomics and Lipidomics Are Gaining Stakeholder Interest
2.6 Trends Driving the Omics Landscape in Drug Discovery

3.0 Need for Omics Technologies in Drug Discovery
3.1 Omics Technologies Can Reduce Drug Discovery Timelines
3.2 Biological Data are Driving Drug Discovery
3.3 Role of Omics in Drug Discovery
3.4 The Advantages of Omics-based Drug Discovery
3.5 The Challenges of Implementing Omics-based Approaches

4.0 Technology Analysis
4.1 Genomics is Driving Changes in the Drug Discovery Landscape
4.2 The Role of Genomics Data in the Future of Drug Discovery
4.3 Companies Working on Genomics Data for Drug Discovery
4.4 Transcriptomics is Providing Insights on RNA Interactions for Drug Discovery
4.5 The Potential of Transcriptomics Data in Drug Discovery
4.6 Companies Providing Transcriptomics Data Analysis Platforms to Achieve a Sophisticated Drug Discovery Pipeline
4.7 Proteomics Will Improve the Current Understanding of Drug Responses
4.8 The Potential of Proteomics Data in Drug Discovery
4.9 Companies Working on Proteome Analysis for Drug Discovery
4.10 Metabolomics Helps by Providing Real-time Biological Pathway Information for Drug Discovery
4.11 The Potential of Metabolomics Data in Drug Discovery
4.12 Metabolomics Companies
4.13 Glycomics Has Potential in Cancer Screening and Therapies
4.14 The Potential of Glycomics Data in Drug Discovery
4.15 Lipidomics Helps Identify Biomarkers
4.16 The Potential of Lipidomics Data in Drug Discovery
4.17 Lipidomics Companies
4.18 Multi-omics Helps Validate and Test Targets Faster
4.19 The Potential of Multi-omics Data in Drug Discovery

5.0 Technology Enablers Influencing Omics Platform Adoption
5.1 Microfluidics and Bioinformatics Are Essential for Comprehending Multi-omics Data
5.2 AI Enables Accurate and Efficient Analysis of Data Set Patterns
5.3 Major Players Enabling Omics Data Interpretation Using AI and Bioinformatics
5.4 Stakeholders Facilitating Multi-omics Data Interpretation Using AI and Bioinformatics

6.0 Omics Platforms Enabling Precision Medicine
6.1 Single-cell Analysis
6.2 Omics Platforms Are Facilitating Precision Medicine
6.3 Omics Platforms Are Influencing Precision Medicine Outcomes

7.0 Omics Technologies—IP Analysis and Stakeholder Activities Snapshot
7.1 The Patent Landscape for Omics Technologies
7.2 Patenting Trends of Various Omics Technologies
7.3 Investments and Funding Activities Are Gaining Attention
7.4 Ongoing Collaborations in Multi-omics Data Analysis for Product Development

8.0 Growth Opportunity Universe
8.1 Growth Opportunity 1: Building an Omics Data Center for Precision Medicine
8.1 Growth Opportunity 1: Building an Omics Data Center For Precision Medicine (continued)
8.2 Growth Opportunity 2: Remodeling Drug Discovery with Omics Data Adoption
8.2 Growth Opportunity 2: Remodeling Drug Discovery with Omics Data Adoption (continued)
8.3 Growth Opportunity 3: Advances in High Throughput Single-cell Multi-omics Platforms
8.3 Growth Opportunity 3: Advances in High Throughput Single-cell Multi-omics Platforms (continued)

9.0 Appendices
9.1 TRL: Explanation

10.0 Key Contacts
10.1 Industry Contacts

11.0 Next Steps
11.1 Your Next Steps

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