Mobile internet to drive demand for Big Data
With an increase in the internet of things (IoT) spending worldwide, big data and analytics in telecom industry is anticipated to rake in a healthy share of the pie. The rapidly increasing internet usage on handheld devices such as smartphones and tablets has increased the need for big data analytics. Big data helps in storing, mining, and analyzing data along with enhancing customer experience and reducing costs. Moreover, the emergence of AaaS is allowing companies to implement big data analytics solutions tailored to their business needs, thereby fuelling the demand big data analytics in telecom industry.
On the other hand, the lack of proper strategy is limiting the wide-scale adoption of big data analytics. Since most of the data coming from different sources is unstructured, it introduces speed and complexity-related challenges for communications service providers (CSPs). Moreover, there is a shortage of skilled analytics professionals, who can understand the technology of data analytics and comply it with the business objectives of telecom companies. This factor is likely to hamper the growth of big data and analytics in telecom industry. However, with the increasing penetration of agile data analytics, the market is anticipated to augur well in the near future.
The report offers insight into historical data, development trends, and competitive landscape of the big data and analytics in telecom industry at global as well as China level. The authors have meticulously performed news, policy, and economy analysis for big data analytics in telecom industry at the global level. Key players offering big data analytics to the telecom industry discussed in the report include Cisco Systems, Accenture, SAS Institute, and Informatica. Some other prominent vendors are EMC, Teradata, Salesforce, and Musigma.
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