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Source: Gil Press, Contributor
The big data and analytics market will reach $125 billion worldwide in 2015, according to IDC. Both IDC and The International Institute of Analytics (IIA) discussed their big data and analytics predictions for 2015 in separate webcasts yesterday. Here are the highlights:
Security will become the killer app for big data analytics
Big
data analytics tools will be the first line of defense, combining
machine learning, text mining and ontology modeling to provide holistic
and integrated security threat prediction, detection, and deterrence and
prevention programs. (IIA)
IoT analytics will be hot, with a five-year CAGR of 30%
The
Internet of Things (IoT) will be the next critical focus for
data/analytics services. (IDC) While the IoT trend has focused on the
data generation and production (sensors) side of the equation, the
“Analytics” of Things is a particular form of big data analytics that
often involves anomaly detection and “bringing the data to the
analytics.” (IIA)
Adoption
of technology to continuously analyze streams of events will accelerate
in 2015—it’s all about speed and small units of data. IoT back end as a
service (BaaS) will emerge, as players—including Amazon, IBM IBM -1.2%, andMicrosoft MSFT -1.2%—continue
to stitch together a wider variety of platform as a service (PaaS)
services, including stream processing, data triggers, indexing and
synchronization, and notifications, into more tightly integrated
offerings directly marketed to the growing community of IoT developers.
(IDC)
Buying and selling data will become the new business bread and butter 70%
of large organizations already purchase external data and 100% will do
so by 2019. In parallel, more organizations will begin to monetize their
data by selling them or providing value added content. (IDC) Companies
will double their investment in generating new and unique data. “You
can’t go into a data-based business without some unique data that gives
you competitive differentiation.” 2015 will mark an inflection point of
intentional investment by mainstream firms in generating and monetizing
new and unique data sources. (IIA)
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