Operational intelligence (OI) provides real-time dynamic business
analytics of streaming events and business operations along with
insight and visibility into the data. Operational intelligence is
designed and developed to improve the overall efficiency of the
organization by focusing on operational information and data of the
organization. Operational intelligence enhances the organizations
ability to make critical decisions based on the analytic insights,
through automated or manual actions. It also enables organizations to
gain further relevant information from machine data and reduce the
time to detect important events.
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Operational intelligence market supports automation of
decision-making process, which improves decision making, enhances
market responses and reduces process delays. These solutions are
strategically used by organizations to upgrade business processes and
enhance their performance. Additionally, OI supports automation of
operational data collection and data delivery consequently improving
the visibility of performance and operating costs of the process.
Rising adoption of big data and artificial intelligence in industries
due to increasing need for operational efficiency and escalating
demand for centralized control and monitoring systems are driving the
global operational intelligent market. The other factors driving the
growth of operational intelligent market are advancement in
technology, rising complexity of manufacturing process, increase in
adoption of operational intelligence in financial sector, growing
demand for real time remote monitoring of industrial activities.
Moreover, growing automation in industrial sectors to avoid mishaps
and provide safety of product and employees is also contributing to
growth of operational intelligent market. However, lack of
infrastructure, lack of skilled professionals, reluctance to expose
operational data and difficulty in consolidation are restraining the
growth of global operational intelligent market. The evolving
operational intelligent systems platform and rising amount of machine
generated data is expected to provide opportunities for expanding
operational intelligent systems market.
The global Operational intelligence market is segmented on the basis
of end-use adoption, deployment type and geography. In terms of
end-use adoption, the global operational intelligence market is
segmented into IT and telecommunication industry, travel and
financial industry, retail industry, healthcare industries and
others. The other segment includes manufacturing, energy and power,
and logistics industries. Based on deployment type, the global
operational intelligence market is segmented into on-premise
operational intelligent systems, cloud based operational intelligent
systems and hybrid operational intelligent systems. Moreover, in
terms of geographic regions the global operational intelligence
market is classified into North America, Europe, Middle East and
Africa, Asia Pacific and Latin America. North America and Europe is
expected to show sustainable growth due to growth in the adoption of
operational intelligence tools and focus on improving overall process
efficiency. Moreover, Middle East, Africa and Latin America are
expected to show moderate growth in operational intelligence market
during the forecast period due to increasing demand for analytics and
mobile business intelligence.
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The key players in global operational intelligence market are
concentrating on research and development activities to encounter the
increasing demand for operational intelligence systems from the
consumers. The key players in operational intelligence market are
OpsVeda, Inc., Splunk Inc, SQLsteam, Vitria technology, Inc., Flexeye
Ltd., Axway Inc., Intelligent InSites, Inc., Starview Inc., Oversight
Systems, Inc., Space Time Insight, Inc., Software AG, OpenText Corp.
and VisionWaves B.V.
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