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.
Strategic Imperatives
Why Is It Increasingly Difficult to Grow?
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
Scope and Segmentation
Context and Scope of Analysis
Segmentation
Growth Opportunity Analysis
Growth Drivers
Growth Restraints
Introduction
Introduction to Single-cell Analysis and the Need for It
Single-cell Sequencing Process Development Time Line