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Microarray Analysis Market : Key Growth Drivers, Opportunities And Challenges
The global microarray analysis market is expected to reach USD
5.52 billion by 2023 from USD 3.82 billion in 2018, at a CAGR of 7.6%.
The major factors driving the growth of this market are the increasing
incidence of cancer, increasing funding for genomic
and proteomic research, and growing application areas of microarrays.
By product and service, the market is segmented into consumables,
software & services, instruments. In 2018, the consumables segment
is estimated to command the largest share of the microarray analysis market.
The large share of this segment can be attributed to the growing
applications of microarray in various fields and the regular, repeated,
& bulk purchases of consumables.
Drivers:
1.Increasing incidence of cancer
DNA
microarrays are used for the diagnosis of various types of cancers. As a
result, the rising incidence of cancer across the globe is expected to
support the growth of the microarray analysis market during the forecast
period. According to the WHO, cancer is the second-leading cause of
death globally and accounted for 8.8 million deaths in 2015. Also,
globally, the incidence of cancer is expected to increase from 14.1
million in 2012 to 21.7 million by 2030. As of 2015, 15.2 million cancer
cases were diagnosed globally, with 57.0% of them being reported across
developing countries in Africa, Latin America, and Asia (Source:
GLOBOCAN, 2012).
2.Growing application areas of microarrays
The
microarray technology is primarily used in genome mapping and
sequencing applications. However, over the last few years, this
technology is increasingly being used in the diagnosis of infectious and
genetic diseases, drug discovery, pharmacogenomic research, cancer
diagnostics, and forensic applications. Additionally, the microarray
technology is also used in immunology research such as the study of the
relation between phenotype and gene expression, activation and
differentiation of immune cells, regulation of immune responses,
analysis of the molecular mechanisms of allergy, and immunological
pharmacology.
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OPPORTUNITIES:
-Personalized
medicine enables medical practitioners to identify the exact needs of a
patient and then prescribe medicines and treatments accordingly. This
approach guarantees better care outcomes. Moreover, advancements in the
field of gene therapy are believed to hold the potential for replacing
traditional drugs and surgeries by enabling doctors to treat a disorder
by inserting a gene into a patient’s cell. DNA microarray and protein
microarray are some of the technologies used in the development of
personalized medicine. For instance, in the field of personalized cancer
management, testing for disease-causing mutations in the BRCA1 and
BRCA2 genes is done using the DNA microarray technology. Also, DNA
microarray chips enable researchers to analyze patients for the
expression of genes associated with a good response to various
anti-cancer drugs. For instance, Thermo Fisher Scientific’s GENE CHIP
products offer solutions for cancer research on a standard microarray
platform.
ChallengeS:
-Growing adoption of next-generation sequencing
Over
the last decade, the adoption of next-generation sequencing (NGS) has
increased significantly in genomic applications. This can primarily be
attributed to the technological advancements in NGS platforms and the
significant reduction in the cost of sequencing. Moreover, as NGS offers
more accurate data, better analysis, and faster results, its demand is
increasing among laboratories of all sizes for genomic applications.
Though
NGS offers various advantages over microarrays, the latter is an
established technology preferred by several researchers as they have
gained proficiency in its operation and analysis of results. Also,
microarrays involve easier operations, less-complicated sample
preparation, and easier data analysis. Hence, though NGS has emerged as a
strong alternative to microarrays, various end users will still prefer
the use of microarrays for different applications.
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