Technological advancements in single-cell analysis propel new diagnostic and therapeutic opportunities.
30-Nov-2023
Global
Market Research
DAC1-01-00-00-00
HC_2023_369
Single-cell analysis can diagnose a condition in heterogenous cell population samples by studying genomics, transcriptomics, proteomics, metabolomics, and other cellular interactions in cells. It helps to understand a tumor microenvironment better and develop drugs based on newly uncovered knowledge of various types of tumors. The rich data provided through this method of analysis gives in-depth insight into gene expression and other factors determining a pathological condition.
As this method is an advancement to already existing methods of diagnosis and drug discovery, it is gaining the attention of investors and research institutions, although there are a few challenges in terms of technology (which must be navigated through advancements in technology platforms) and the monopoly of large sequencing companies that have grown to provide end-to-end solutions that cannot be provided by small and mid-sized companies, creating an intensely competitive environment.
Many companies perform single-cell analysis at the genomic and transcriptomic levels; however, only a few do the same in proteomic and multi-omics single-cell resolution. Technology advancements are helping to bypass tedious processes, such as single-cell separation through a unique barcoding process during library preparation. Modern methods, including spatial omics and live-cell sequencing, are also complementing the existing single-cell analysis process. One of the major challenges in this method is the data analysis of sequenced results, which is being tackled through cloud platforms that operate without the need for prior bioinformatics experience. There is significant scope for research on topics that are underexplored in this method of analysis, which ensures good growth of this technique in the next decade and promises improved diagnosis not only for cancer but also for other diseases.
This study identifies the challenges, drivers, new technology platforms, and growth opportunities in this space and foresees a growth outlook. It also provides an overview of the stakeholder ecosystem, identifying notable mergers and acquisitions, funding, and partnerships for stakeholders and market participants to leverage.
Why Is It Increasingly Difficult to Grow?The Strategic Imperative 8™: Factors Creating Pressure on Growth
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on the Single-cell Analysis Industry
Growth Opportunities Fuel the Growth Pipeline Engine™
Research Methodology
Context and Scope of Analysis
Segmentation
Growth Drivers
Growth Restraints
Introduction to Single-cell Analysis and the Need for It
Single-cell Sequencing Process Development Time Line
Single-cell Analysis Applications
Single-cell Isolation
Single-cell Isolation (continued)
Single-cell Isolation Technologies—Commercialized Solutions
Single-cell Isolation Technologies—Commercialized Solutions (continued)
Single-cell Library Preparation
Single-cell Library Preparation—Innovation
Single-cell Sequencing
Single-cell Sequencing (continued)
Single-cell Sequencing Platforms
Single-cell Sequencing Platforms (continued)
Single-cell Bioinformatics
Bioinformatics Tools Used in Single-cell Analysis
Growing Influence of AI and ML in Single-cell Analysis
Spatial Omics Technologies Evolving to Compliment Single-cell Analysis Technology
Microfluidic Technologies in Single-cell Analysis
Live-cell Sequencing or Temporal Analysis Providing Spatial Information Without Damaging Cells
A Combination of Single-cell and Other Technologies Providing Deeper Insights for Therapy Development
3D Genome Technologies Offering a Better Depiction of the Cell Environment and Its Heterogeneity
Single-cell Exploratory Research Landscape
Snapshot of University Research in Single-cell Analysis
Increasing Number of Platform Developments in the Last 5 Years
Applications of Single-cell Analysis to Expand Beyond Oncology
Improved Single-cell and Spatial Analysis to Strengthen Precision Medicine Through New Discoveries
Stakeholder Ecosystem
Single-cell Analysis Strategic Partnerships
Funding Ecosystem
Funding Ecosystem (continued)
Integrated Solution Providers Dominating M&As in Single-cell and Spatial Genomics
Steadily Increasing Patent Filings and Grants for Single-cell Analysis
Landscape of the Single-cell Analysis Stakeholder Ecosystem
Growth Opportunity 1: Advances in Single-cell Isolation and Library Preparation Improving Overall Workflow
Growth Opportunity 1: Advances in Single-cell Isolation and Library Preparation Improving Overall Workflow (continued)
Growth Opportunity 2: Widening Applicability of Single-cell Analysis Beyond Precision Oncology
Growth Opportunity 2: Widening Applicability of Single-cell Analysis Beyond Precision Oncology (continued)
Growth Opportunity 3: Improvement in Single-cell Data Science for Rapid and Meaningful Insights of Sequenced Data
Growth Opportunity 3: Improvement in Single-cell Data Science for Rapid and Meaningful Insights of Sequenced Data (continued)
Technology Readiness Levels (TRL): Explanation
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| Deliverable Type | Market Research |
|---|---|
| Author | Lonita lawrence |
| Industries | Healthcare |
| No Index | No |
| Is Prebook | No |
| Keyword 1 | Single Cell Analysis |
| Keyword 2 | Single Cell Technology |
| Keyword 3 | Single Cell Analysis Industry |
| Podcast | No |
| WIP Number | DAC1-01-00-00-00 |
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