Light Reading

Telco Big Data Market to Thrive

Ray Le Maistre
1/22/2014
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The market for big data technology and services in the communications sector is set to grow by more than 400% in the next seven years, according to a market forecast by Heavy Reading.

Senior analyst Ari Banerjee, a specialist in the Service Provider Information Technology (SPIT) market, said today during a live message board chat session focused on the big data challenges facing the communications service providers and their suppliers that Heavy Reading "expects the big data technology and services market to grow from $1.95 billion in 2013 to $9.83 billion in 2020" for the communications sector alone. (You can see the full transcript of the Q&A session with Banerjee right here.)

That expected growth is driven by the need for communications service providers (CSPs) of all types (fixed, mobile, cable) to harness the massive volumes of network, service, and subscriber data at their disposal and put it to good use, including generating new business. Banerjee said several major US operators are already deriving new revenue from aggregated data. (See AT&T Eyes Big Data Revenues, Sprint Plays by Its Own Rules, Too, and JDSU Urges Ops to Sell Their Location Data.)

Banerjee believes he may be a little conservative in his forecast, the details of which will be featured in an upcoming Heavy Reading report. Even so, his projections show a magnitude of growth that is certainly good news for the many companies looking to sell data warehousing platforms and big data analytics tools to CSPs, including Amdocs Ltd. (NYSE: DOX), Gigamon Systems LLC , Guavus Inc. , Hewlett-Packard Co. (NYSE: HPQ), IBM Corp. (NYSE: IBM), SAS Institute Inc. , SAP AG (NYSE/Frankfurt: SAP), Splunk Inc. , and Teradata (NYSE: TDC), to name but a few.

Look out for more coverage of the big data and analytics market in the coming weeks.

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— Ray Le Maistre, Editor-in-Chief, Light Reading

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R Clark
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R Clark,
User Rank: Blogger
1/22/2014 | 8:46:58 PM
SK Telecom
SK Telecom is claiming impressive results - churn forecasting and reduction up fourfold from big data analytics.

But it has the ability to use customer search data. It has figured out that when customers start searching for 'data plan' or visits operator comparison sites, a switch is imminent. Not sure if western operators would even be allowed to do that.
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