Gene Expression Market size is poised to depict over 7% CAGR from 2024-2032, on account of the rising adoption of next-generation sequencing (NGS) technologies for high-throughput sequencing of RNA samples to provide comprehensive transcriptomic data. Gene expression analysis is playing a critical role in clinical research and diagnostics, particularly in the fields of cancer, infectious diseases, and rare genetic disorders. Rising efforts by academic institutions, research organizations, and biotech companies for advancements in gene expression analysis like access to cutting-edge technologies, and translation into clinical applications will drive the market growth. To illustrate, in August 2023, a new study initiated by the University of Maryland (UMD) shed light on the intricate processes underpinning gene expression for broadening applications in medicine.
The overall industry is segmented into process, product, application, technique, capacity, end-user, and region.
In terms of process, the gene expression market value from the sample collection segment will witness 6.4% CAGR through 2032. The growth can be ascribed to the intensifying need for providing valuable insights into the activity of genes. Blood samples are frequently used for gene expression analysis by deploying venipuncture. With the study of the expression of genes in healthy and diseased tissues, researchers are identifying potential drug targets to assess the efficacy of candidate drugs. To that end, the rising development of personalized medicine approaches to improve treatment outcomes will add to the segment growth.
With respect to application, the gene expression industry from the clinical diagnostics segment is expected to expand at 7.5% CAGR from 2024 to 2032. By analyzing gene expression patterns, clinicians can identify specific gene signatures associated with different disease subtypes to render more accurate diagnosis and personalized treatment. This technique also helps identify prognostic and predictive biomarkers to provide valuable information about the progression of diseases and the efficacy of certain treatments.
Regionally, the Asia Pacific gene expression market size is expected to observe 7.5% CAGR from 2024 to 2032, due to the increasing demand for personalized medicine. The presence of diverse patient population across the region due to the rising prevalence of chronic diseases makes it an attractive destination for clinical studies. It has been estimated that the doctor-population ratio in India was 1:834 in 2022. The escalating government support for actively promoting and funding genomics research will further contribute to the regional industry growth.
Chapter 1 Methodology & Scope
1.1 Market scope & definitions
1.2 Base estimates & calculations
1.3 Data collection
1.4 Forecast parameters
1.5 Data validation
1.6 Data sources
1.6.1 Primary
1.6.2 Secondary
1.6.2.1 Paid sources
1.6.2.2 Public sources
Chapter 2 Executive Summary
2.1 Industry 360 degree synopsis
Chapter 3 Industry Insights
3.1 Industry ecosystem analysis
3.2 Industry impact forces
3.2.1 Growth drivers
3.2.1.1 Technological advances that enhance gene expression
3.2.1.2 Growing adoption of personalized medicine
3.2.1.3 High investment in genomic research
3.2.2 Industry pitfalls & challenges
3.2.2.1 High cost of the instruments
3.2.2.2 Lack of skilled labor
3.3 Growth potential analysis
3.4 Regulatory landscape
3.5 Porter's analysis
3.5.1 Supplier power
3.5.2 Buyer power
3.5.3 Threat of new entrants
3.5.4 Threat of substitutes
3.5.5 Industry rivalry
3.6 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
4.1 Introduction
4.2 Company matrix analysis
4.3 Competitive positioning matrix
4.4 Strategic dashboard
Chapter 5 Market Estimates and Forecast, By Process, 2018 - 2032 ($ Million)
5.1 Key trends
5.2 Sample collection
5.3 Purification
5.4 cDNA synthesis & conversion
5.5 PCR analysis
5.6 Data analysis & interpretation
Chapter 6 Market Estimates and Forecast, By Product, 2018 - 2032 ($ Million)
6.1 Key trends
6.2 Consumables
6.2.1 Reagents
6.2.2 DNA chips
6.3 Instruments
6.3.1 PCR
6.3.2 NGS
6.3.3 DNA microarray
6.3.4 Other instruments
6.4 Services
Chapter 7 Market Estimates and Forecast, By Application, 2018 - 2032 ($ Million)
7.1 Key trends
7.2 Drug discovery & development
7.3 Clinical diagnostics
7.4 Biotech & microbiology
7.5 Other applications
Chapter 8 Market Estimates and Forecast, By Technique, 2018 - 2032 ($ Million)
8.1 Key trends
8.2 RNA expression
8.3 Promoter analysis
8.4 Protein expression & posttranslational modification analysis
Chapter 9 Market Estimates and Forecast, By Capacity, 2018 - 2032 ($ Million)
9.1 Key trends
9.2 Low- to mid- plex
9.3 High-plex
Chapter 10 Market Estimates and Forecast, By End-User, 2018 - 2032 ($ Million)
10.1 Key trends
10.2 Pharmaceutical and biotechnology companies
10.3 Diagnostic laboratories
10.4 Academic research centers
Chapter 11 Market Estimates and Forecast, By Region, 2018 - 2032 ($ Million)