The widespread adoption of machine-to-machine (M2M) communication, a shift from reactive to predictive analytics for the Internet of Things (IoT), and continuing virtualization of network functions are leading service providers to look for advanced testing solutions for big data and cloud analytics, according to a new study from Frost & Sullivan.

The report, Global Big Data and Cloud Analytics Test Services Market and Monitoring Equipment Market, finds that the market earned revenue of $650.1 million in 2014 and estimates that it will reach $1.63 billion by 2019.

The market includes testing technologies and services that help in the overall visibility of networks, as well as probe-based network infrastructure testing and service assurance, which aids in the monitoring of network metrics that will be collected for data analytics.

As M2M communications enabled by IoT becomes ubiquitous across industries, the huge amounts of digital data have begun to strain networks, the report says. The issue is exacerbated by the deployment of self-organizing networks (SON) and cloud radio access networks (C-RAN) technologies.

Network operators need to actively offer exceptional quality of experience and service, said Rohan Joy Thomas, Frost & Sullivan measurement and instrumentation research analyst.

“They can no longer afford to rely on traditional analytics solutions; innovative solutions that can aggregate relevant information from heaps of data in a smaller window, as well as make forecasts by visualizing patterns among end users, are becoming vital,” Thomas said.

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