Spend Analytics Market: Snapshot
With the rising popularity of predictive analytics, the
global market for spend
analytics is observing a tremendous rise. The augmenting usage
of predictive analytics in business, as a number of enterprises recognize the
positive impact of analytics and data on their decision making, is boosting
this market remarkably. Since predictive analytics enables companies to make
radical discoveries about themselves and discard and resolve complex business
issues, allowing them to take up rewarding strategies and put forward improved
business performance, its demand is likely to increase manifolds in the years
to come.
The increasing need for business intelligence is also
projected to fuel the demand for spend analytics over the next few years. The
rising prominence of big data and the cloud computing technology are some of
the important factors that are influencing the demand for business intelligence
in enterprises. On the whole, the market looks thriving, currently, however, it
may face tough challenge from the poor quality of data in the years to come.
Since, the issue is closely related to the count of data sources that possess
spend information, it may affect the uptake of spend analytics among
enterprises over the next few years. Nonetheless, the increasing demand for
cloud computing is expected to support this market considerably over the
forthcoming years
Spend analysis is a process of cleansing, collection,
analyzing and classifying expenditure data with a purpose of improving
efficiency, decreasing procurement costs and monitoring compliance. Spend
analysis is executed by companies to upsurge profitability through recognizing
flagging contracts and wasteful spending that can be renegotiated. CFOs and
CPIOs use spend analysis to aid the global hospitals, companies and small
businesses with whom they work. Spend analysis expending reliable data is vital
to control supply chain performance, reduce cost and manage business risk.
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Increasing demand of predictive analytics is one of the
primary factors driving the spend analytics market across the globe. Use of
predictive analytics in business is on the rise since many companies identifies
the competitive benefits that the analytics and data offers to their decision
making. Predictive analytics allows companies to make drastic discoveries about
the companies and deselect and solve complicated business problems, thereby
allowing superior business performance and strategies. Predictive analytics are
dominant when a company gathers the correct data and then its employees apply
and interpret data-driven discoveries to boost the growth. Companies that
strive for to create important business insights require to shift from larger
to improved data and balance analysis with perception.
Increasing need for business intelligence is also another
major factors bolstering the spend analytics market during the forecast period.
Rapid growth of big data, cloud computing are the few factors responsible for
the rising demand of business intelligence which thereby, is boosting the
demand of spend analytics market.
Poor quality of data is a major challenge in the spend
analytics market during the forecast period. The problem is closely related to
the number of data sources that house the spend information. Since the data is
collected from various sources there are chances that the quality of the data
is incorrect or poor in quality.
Increasing demand of cloud computing and advancement in
cloud computing is likely to be one of the important opportunities in the
global market. Moreover, increasing use of mobile application is also creating
ample opportunities in the global market.
Some of the key companies in the global spend analytics
market comprises SAS Institute, Inc. (U.S.), SAP SE (Germany), IBM Corporation (US),
Coupa Software Inc. (U.S.), Oracle Corporation (U.S.), Zycus Inc. (U.S.),
Empronc Solutions Pvt. Ltd. (India), Rosslyn Analytics, Ltd. (U.K.), JAGGAER
(U.S.), Proactis (U.K.), Ivalua Inc. (U.S.), and BravoSolution SPA (U.S.).
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