In parallel to declining research and development productivity, surge in research and development outsourcing by biotechnological and pharmaceutical companies will propel growth of the global cell free protein expression market in the coming years. In addition, drop in sales of patent cliff, which has led to surge in the intensity of research and in the pharmaceuticals sector will lead to an upsurge in demand for cell free protein expression globally in the coming years. Moreover, surge in expenditure related to development of biosimilars will further fuel demand for cell free protein expression globally in the span of eight years.
The global cell free protein expression market is expected to grow at 6.0% CAGR in the span of next eight years. Mammalian cell free protein expression system among other types will grow at a relatively fast CAGR in the coming years. Whereas, wheat germ cell-free protein expression systems will grow at 5.8% CAGR in the span of next eight years. Among various applications, the protein-protein interaction will grow at a relatively high CAGR of 6.0%, attributed to proteomic studies in the coming years. Academic/research institutes among various end users will grow at 6.1% CAGR in the span of next eight years.
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Various trends propelling growth of the global cell free protein expression market includes,
- Multiple Purposes:
With the developing biotechnology, cell free protein expressions widely find application in various domains. In addition, the cell free protein expression technology is increasingly being used for research purposes significantly. The cell free protein expression technique was recently used to investigate the expression of ribosomal proteins in a range of human tissues inclusive of tumors. Such investigations helped in discovering cancer type specific signature.
Moreover, increasing adoption of cell programming techniques will further fuelled adoption of cell free protein expression in the coming years. Recently, scientists through investigations and experiments could roll back time of live mice through the technique of systematic cellular programming. Additionally, the technique of cellular programming can extend lifespan of mice on an average from 18 to 24 weeks longer.
- Research and Academic Purposes:
Attributed to surge in need for cell free protein expression techniques for research purposes, cell free protein expression is witnessing an upsurge in demand in the coming years. In addition, due to surge in proteomic studies, cell free protein expression will witness an upsurge in demand in the span of next eight years. Simple presentation of cell free protein expression system makes the process of integrating them in high throughput platforms convenient for efficient proteomics and biologic studies.
The protein-protein interaction will grow at a relatively high CAGR of 6.0% in the coming years, due to surge in number of proteomics studies. Academic/research institutes will account for relatively high market share in the coming years. Moreover, the academic/research institutes will grow at 6.1% CAGR, owing to major application in protein libraries generation for research purposes for customized drug development studies, expression of virus-like particles, and functional genomics studies among other applications.
- Regional Analysis:
Europe and North America retained dominance in the cell free protein expression market globally, and accounted for major market share in 2016. Moreover, Europe and North America collectively accounted for over 65% of the revenue share in the overall cell free protein expression market in 2016. Additionally, Asia Pacific among other emerging markets will grow at a relatively high CAGR of 6.1%, due to surge in expenditure on research and development in the span of eight years.
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Cell-free protein expression systems enable protein screening without imposing gene cloning steps, which enables attractive opportunities for market players in the coming years. Moreover, major market players are mainly focussing on initiatives to increase sales, and enhance distribution base in the span of