IT
operations analytics (ITOA) software analyze the data generated from IT
operations and turn them into relevant information and insights so as to act
accordingly. These analytics software utilize cognitive computing capabilities
for learning the IT systems behavior over the time and provide quick warnings
on any abnormal behavior. The modern digital business suffuses technology in
every step of any enterprise’s value chain. This unparalleled use of technology
generates challenges for IT Infrastructure, as it becomes difficult to collect
as well as organize the excessive data generated by the latest digital business
systems. ITOA helps in delivering the right information to the operation
management teams at right time. It also allows them to enhance their efforts,
reduce the problems solving time, quick identification of issues and optimize
system as well as application performance in order to meet business needs.
There are various applications
of ITOA systems used by IT operations teams which include root cause analysis,
active service performance and availability control, problem assignment,
service impact analysis, real time application behavior learning, and
dynamically baselines threshold. Under the root cause analysis applications,
the models or structures of IT infrastructure or application stack are
monitored by the ITOA systems, which helps the users to locate the unknown root
causes of overall system behavior. Similarly, in active service performance and
availability control, the ITOA systems can predict upcoming system conditions
and the impact of those conditions on the performance. ITOA systems can also
determine a problem’s solution, and the results of implications to the
appropriate individuals in the enterprise for problem resolution. The ITOA
market can be segmented on the basis of types which include unstructured text
indexing and inference search (UTISI), log analysis, multidimensional database
search and analysis (MDSA), topological analysis (TA), ) statistical pattern
discovery and recognition (SPDR) and complex operations event processing
(COEP).
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The
increasing growth of IT data has swelled the demand for analytical solutions to
be deployed on IT operations so as to generate benefits. The evolution of big
data analytics technology has also attributed significantly toward the ITOA
market growth. Today, organizations are facing challenges in solving IT
associated problems, which has resulted into high IT data losses. Therefore,
organizations have started adopting the advanced ITOA solutions for improving
the application performance, quick network identification, and reducing
security threats and increasing infrastructural management, further
contributing to the market growth. In September 2015, Splunk Inc. launched
analytics service for IT operations so as to enhance its machine learning
tools. The company's IT service intelligence tool provides visualization as
well as analytics for tracking the technology infrastructure. Asia Pacific is
in the significant growth phase in the global ITOA market as there is an
increasing demand for advanced analytical solutions across all IT operations as
well as growing data centers numbers in this region. According to the Cisco
Global Cloud Index estimates, Asia Pacific would be the fastest growing region
in terms of data center workloads during the coming years.
The major participants in the
ITOA software market include Oracle Corporation, IBM Corporation, Hewlett
Packard Company, Splunk, Inc., SAP SE, Evolven Software, Microsoft Corporation,
VMware, Inc., ExtraHop Networks, Inc., AccelOps, Inc., Nexthink, Bay
Dynamics, Sumo Logic and AppDynamics, Inc.
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