Home >Companies >Intel to tap India’s big data market

New Delhi: Intel Corp., the world’s biggest chip maker, plans to tap India’s big data market with its new real-time data analytics platform to drive growth in the country after missing the smartphone opportunity.

Big data is expected to be a market worth $1 billion in India by 2015, growing at a compounded annual growth rate of 83% from 2012, according to a report by industry lobby Nasscom. Big data is a term used to describe the value in analysing large amounts of information produced by companies and individuals with the help of algorithms.

“With increase in big data analytics, we view this as an opportunity to increase our core business, which is PC-clients-servers," said Rajiv Bhalla, director, market development, Intel South Asia. “We also see this as an opportunity to move from our core business into the services and the software space."

The combined desk-based and mobile personal computer market in India declined 19.9% in the fourth quarter of 2013 from the year-ago period, according to technology market researcher Gartner Inc.

“Over the past couple of years, we have seen enterprises realize that data can be leveraged as a strategic tool to improve internal operations and processes, retain, sustain and acquire new clients, take faster decisions and find new business avenues," said Bhalla. “In the past, IT (information technology) used to be an enabler for other verticals but now it has become a competetive differentiator. CIOs (chief information officers) now contribute to the bottom lines." “With this processor, we have created a platform which will help industries to get into data analytics in a low-cost way. Our go-to-market strategy is to offer big data solutions to enterprises."

Intel on Wednesday introduced the platform, a new family of processors called Xeon Processor E7 v2, which can provide real-time analytics with its in-built memory support of 1.5 terabytes per socket, the largest in the industry. A terabyte is a measure of computer storage capacity capable of holding a massive amount of data.

“Previously these data sets used to reside in physical disks, which used to be slow," he said. “Today they have moved into in-memory computing from where data is retrieved instantaneously and organizations can do predictive and prescriptive solutioning using the data. This vastly shortens query response times, allowing business intelligence and analytic applications to support faster business decisions."

Gartner expects 35% of mid- to large-sized companies will adopt in-memory analytics by 2015, up from 10% in 2012 and predicts that at least 50% of Global 2,000 companies will use in-memory computing to deliver significant additional benefits from investments in enterprise resource planning.

“The big data market is for real, but the question is how and when it will play out to be. From the demand perspective, India is going to be seeing data explosion. For example, India is one of the top three countries for Facebook, which is one of the biggest sources of unstructured data," said Vikash Jain, principal at the Boston Consulting Group. “For Intel, it seems to be right strategy for mid to long term to be in the country."

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