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supply chain analytics

North America region accounted for largest market share of global supply chain analytics market in 2016 due to wide application of supply chain in healthcare sector
Supply Chain Analytics Market- Global Industry Insights,
Trends, 2017 – 2025
Supply chain analytics is an algorithm that consists of mathematics, statistics, predictive
modeling and machine-learning techniques. It helps convert business data including order,
shipment, and transactional data of several industries such as, manufacturing, retail &
consumer, healthcare, and transportation into meaningful insights.
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Supply chain analytics analyses data to provide accurate forecasting that is in tune with
current and future market trends. Moreover, supply chain analytics solution is involved in
providing real time analysis for huge data set. Rampant growth of unstructured data set
through the data or record management of forecasting, transportation logistics, retail and
manufacturing, data or transaction of banks and finance, and business tax are expected to
boost the growth of overall supply chain analytics market globally, owing to the requirement
of analysis and management of huge unstructured data set in shorter time span, which is labor
intensive. For instance, machine learning algorithms are used in warehouses to demonstrate
an intelligent stock management system for the prediction of resupply requirement in future.
In Finance sector, supply chain analytics are used to predict capital costs or the probability of
working capital, which helps to target the best suppliers and also provides prompt warning of
budget overruns. In transportation, supply chain analytics software can forecast the impact of
weather on shipments.
However, data security concern is the factor, which may restraint the growth of global supply
chain analytics market.
Supply Chain Analytics Market Taxonomy
On the basis of component, the global supply chain analytics market is segmented into:
● Services
● Solutions
On the basis of deployment mode, the global supply chain analytics market is segmented
● Cloud
● On-Premises
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On the basis of end user industry, the global supply chain analytics market is segmented into:
Retail and Consumer Packaged Goods (CPG)
Healthcare and Life Sciences
High Tech and Electronics
Aerospace and Defense
Supply chain analytics market is expected to witness rampant growth due to growing
healthcare sector in the near future.
On the basis of regions, the global supply chain analytics market is segmented into North
America, Europe, Asia Pacific, Latin America, Middle East, and Africa. North America
region accounted for largest market share of global supply chain analytics market in 2016 due
to wide application of supply chain in healthcare sector. Accuracy is one of the major
concerns in the healthcare sector. Machine learning have the capabilities to provide more
accurate diagnosis and healthcare services, which in turn has augmented demand for supply
chain analytics in healthcare sector. For instance, diagnosis of diabetic eye disease requires
frequent examination of pictures at the back of an eye by the specialist. The features in the
image helps to identify sensitivity of disease, which indicates fluid leakage and bleeding. In
2016, Google has developed a deep learning algorithm, which analyze images and provides
training to the system by using a data set of 128,000 images. Thus, the system diagnose the
disease with a level of accuracy similar to human ophthalmologists. Google healthcare sector
is focused on developing a deep learning algorithm for early diagnosis of skin cancer and
breast cancer.
Major players operating in the global supply chain analytics market are IBM Corporation,
Microstrategy, Oracle Corporation, SAP SE, SAS Institute, INC., Capgemini Inc., Genpact,
Kinaxis INC., Tableau Software, and Birst, Inc.
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