The global gene expression market to grow at a CAGR of 10.56% during the period 2017-2021.
Global Gene Expression Market 2017-2021, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.
One trend in the market is emergence of advanced genome editing techniques and genetic screening programs. A high precision and cost-effective technique, CRISPR-Cas9, is a game-changing form of gene editing and is dispersing throughout biotech laboratories and biotech start-ups globally. It has enormous potential as it can detect mutations at the granular level in the human genome, thus creating highly sophisticated results.
According to the report, one driver in the market is decreasing cost of DNA sequencing. Since DNA sequencing is an essential step in the gene expression protocol, researchers consider the cost of sequencing as an essential parameter when designing their experiments. In the past, after the completion of the human genome project, sequencing techniques involved several trial and error methods, and thus, the resultant cost of the technique was high, resulting in huge cost burden for researchers. However, this scenario has changed drastically due to advancements in science and molecular biology.
Further, the report states that one challenge in the market is shortage of trained healthcare professionals in genomics. Gene expression techniques are highly technical in nature and care must be taken at each step to facilitate a successful experiment and generate reproducible results. It is doubtful whether healthcare professionals in the global genomics market are competent enough to make sense of the huge amount of genomic data being generated from multiple experiments undertaken globally. Priorities in national healthcare systems, access to genomic technologies, and differences in education and training systems among countries further contribute to the inconsistent understanding of genomic data.