Life Science Analytics Market Shows Strong Growth with Leading Players
Life science analytics are software used to interpret huge
volumes of data in the life sciences industry. Early detection of patterns of
virus strains to predict its malignancy level as well as demand for proactive
care can induce its demand. The global life
science analytics market report by Market Research Future (MRFR) outlines
numerous growth drivers, challenges, and opportunities for the period of 2019
to 2025 (forecast period).
Competitive Outlook
CitiusTech Inc., IBM, Inovalon, Saama Technologies, Inc.,
IQVIA, Optum, Inc., Oracle, SCIOInspire, Corp., McKesson Corporation, SAS
Institute Inc., Allscripts Healthcare, LLC, Cerner Corporation, and Health
Catalyst are prominent players of the global life science analytics market.
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Market Scope
The global life science analytics market size can reach to
new heights by 2025 while exhibiting a CAGR of 11.91% during the forecast
period. Emergence of personalized medicine and precision medicine have created
new opportunities for the market to thrive. The need for advanced tools in
clinical research institutes can drive the demand for life science analytics.
Rise of clinical trials by pharmaceutical companies,
adoption of the software and its assistance in sales & marketing, improved
data standardization, and impending need for higher patient outcomes can drive
the global life science analytics market demand. Adoption of big data can
influence the global market growth significantly. High pressure to curtail
healthcare costs can be a decisive indicator of the large potential of life
science analytics.
But data privacy concerns and lack of skilled personnel for
handling the software can hamper the global market growth.
Life Science Analytics Market Segmentation
The global life science analytics market is segmented by
type of analytics, application, component, deployment model, and end user.
By type of analytics, it is segmented into descriptive,
predictive, and prescriptive. Descriptive analytics held the largest share of
the market in 2018. The segment can enjoy a stable growth rate during the
forecast period owing to its use by life science companies for assessing past
trends as well as real-time trends. However, predictive analytics can command a
pretty large market share due to the necessity of understanding customer
behavior.
By application, it is segmented into supply chain optimization,
sales & marketing, pharmacovigilance, regulatory compliance, and research
& development. Research & development can command a high demand for
life science analytics due to its use in R&D activities. The large volume
of clinical and preclinical trials is deemed to drive the application growth in
the global life science analytics market growth. Regulatory compliance can
contribute to market growth due to the array of tools in life science analytics
software to adhere to latest regulations while ensuring constant productivity.
By component, it is segmented into software, hardware, and
services. The software held the highest market share due to its low cost and
implementation. Services include maintenance of hardware and software and its
smooth functioning for analytical systems.
By deployment model, it is segmented into cloud and
on-premise. The latter holds the larger share of the global life science
analytics market due to preference by end-users for its user-friendliness.
By end-user, it is segmented pharmaceutical, biotechnology
& medical device companies, hospitals and clinics, and others. Hospitals
& clinics can dominate till the end of the forecast period due to its
assistance in lowering errors and increasing productivity.
Regional Analysis
The Americas, the Middle East & Africa (MEA), Asia
Pacific (APAC), and Europe are major regions covered in the global life science
analytics market report.
The Americas can lead the global life science analytics
market due to large healthcare spending and adoption of healthcare IT solutions
by life science companies. Efforts to reduce healthcare costs per person is the
prime factor driving the demand for life science analytics.
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