Indian business intelligence (BI) software revenue is forecast to reach $150 million in 2015, a 15-percent increase over the 2014 revenue of $133.8 million, says Gartner.
This forecast includes revenue for BI platforms, advanced analytics, analytic applications and corporate performance management (CPM) software.
“The BI and analytics market is undergoing significant change. The development of mobile, information, cloud and social media technologies has disrupted the market and shifted it toward self-service, cloud and analytics applications tailored for business users and information workers,” Bhavish Sood, research director at Gartner, said.
Gartner analysts examined the key issues facing the business analytics and information management market during the Gartner Business Intelligence and Information management Summit here on Tuesday.
The BI platforms segment continues to lead the BI software market in India, as BI platforms revenue is forecast to reach $92.7 billion in 2015, a statement issued by the information technology research and advisory company Gartner said.
“We see signs of the emerging importance of BI in India as senior executives are increasingly exploring the different styles of analytics to resolve their business imperatives,” Sood said.
“There is an increased emphasis on metrics management and the growing use of performance management. Early big data use cases have started emerging and have executive visibility. This is leading to more investments in BI and information management,” he added.
Two major trends are further shaping the BI and analytics market.
“One is the inexorable move to the cloud and software-as-a-service (SaaS); the other is the widening of access to analytics. More than half of the employees in many organisations now have access to BI. The buying of analytics is becoming influenced by business departments,” the statement said.
“Indian enterprises adopting BI have the advantage of benefiting from earlier adopters in developed markets, rather than needing to build their approaches from the ground up. In order to increase adoption, enterprises should evaluate data discovery, geospatial and mobile-based approaches,” it added.
