Gartner forecasts Indian BI software revenue to reach $214 min in '16

07 Jun 2016

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The Indian business intelligence (BI) software revenue is forecast to grow by 18.6 per cent to touch $213.8 million in 2016 from $180.2 million posted in 2015, with the BI platforms segment continuing to lead.

The BI platforms revenue is forecast to reach $136.8 million in 2016, while all segments of the BI software market in India are expected to post double-digit growth in the next 2 years, according to a forecast by Gartner.

The forecast includes revenue for BI platforms, advanced analytics platforms, analytic applications and corporate performance management (CPM) software.

''The BI and analytics market is undergoing significant change. Adoption of machine learning techniques, and the emergence of smart data discovery solutions are fueling next round of investments,'' said Bhavish Sood, research director at Gartner.

''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,'' said Sood.

''There is an increased emphasis on metrics management and the growing use of performance management. Big data use cases are maturing and have executive visibility. This is leading to more investments in BI and information management,'' he added.
Purchasing decisions continue to move from IT leaders to line-of-business executives and users who want more agility and more flexible personalised options - making the land-and-expand model the new norm.

This is in stark contrast to the large, enterprise-scale deals that fuelled double-digit growth at a time when IT had larger budgets and wielded much more influence in buying decisions.

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. They are increasing BI adoption through data discovery, geospatial and mobile based approaches.

Market awareness and adoption of smart data discovery will extend data discovery to a wider range of users, increasing the reach and impact of analytics, while primary drivers of new growth are being influenced by an increase in need for governance will serve as the catalyst for renewed IT engagement as business-user-led deployments expand.

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