Gartner Says India Business Intelligence and Analytics Software Revenue to Reach $245 Million in 2017

Press Release

Mumbai, India, June 6, 2017 View All Press Releases

Analysts Discuss the Latest and Emerging Data and Analytics trends at the Gartner Data and Analytics Summit 6-7 June 2017 Mumbai, India

Indian business intelligence (BI) software revenue is forecast to reach US$245 million (in constant currency) in 2017, a 24.4 percent increase over 2016 revenue of US$206 million, according to Gartner, Inc. This forecast includes revenue for BI platforms (comprising of traditional and modern BI platforms), data science platforms, analytic applications and CPM Suites.

Gartner analysts are examining the key issues facing the data and analytics market during the Gartner Data and Analytics Summit, which is taking place here through Wednesday.

This year the summit theme has shifted from solely BI/analytics and incorporates the key elements of data management, such as data integration, data quality, data governance, master data management (MDM), and the upcoming tools, architectures, processes, skills and roles that together allow organizations to leverage data as an asset. Digital business dynamics are changing the complete field of data and analytics.

Indian chief information officers (CIOs), chief data officers (CDOs), and other data and analytics leaders must evolve traditional approaches to focus on business outcomes, go with the market trends, benefit from algorithmic business, adopt new technologies and most importantly build trust.

“The data and analytics market is undergoing a significant change. Adoption of machine learning techniques for data management and analytics, the settling of hype around big data through more mature data storage, and processing and analysis solutions are a few of the changes. We are also seeing the rapid shift to the cloud and hybrid data management through focused offerings, and the emergence of modern BI platforms, smart data discovery and self-service data preparation solutions, which are all fueling the next round of investments,” said Ehtisham Zaidi, principal research analyst at Gartner.

“We are also seeing a huge focus on Internet of Things (IoT) data integration, data management and analytics by Indian companies, particularly in the consumer packaged goods (CPG) and manufacturing sector, who are determined the lead the market through competitive differentiation in these key areas,” Mr. Zaidi said.

The BI platforms segment (comprising of modern and traditional BI platforms) continues to lead the BI software market in India (see Table 1). All segments of the BI software market (other than the traditional BI segment) are expected to experience double-digit growth in the next two years in India.

Table 1

India BI Software Revenue Forecast Estimates (Millions of Dollars)** **

Sub segment

Revenue** **

2016 YR

2017 YR

2018 YR

Traditional BI Platforms

Revenue (M) Constant Currency

94.7

101.1 ****

106.6

Growth (%) Constant Currency

6.79% ****

5.39%

Modern BI Platforms

Revenue (M) Constant Currency

32.8

49.1 ****

67.1

Growth (%) Constant Currency

49.99% ****

36.55%

Analytic Applications

Revenue (M) Constant Currency

22.2

26.5 ****

31.6

Growth (%) Constant Currency

19.74% ****

18.91%

Data Science Platforms

Revenue (M) Constant Currency

22.9

30.0 ****

39.0

Growth (%) Constant Currency

30.91% ****

29.93%

CPM Suites

Revenue (M) Constant Currency

33.3

38.2 ****

43.5

Growth (%) Constant Currency

14.58% ****

13.89%

Revenue (M) Constant Currency

205.9

245.0** **

287.7

Growth (%) Constant Currency

24.40%** **

20.93%

Source: Gartner (June 2017)

“We see signs of the emerging importance of data management and analytics in India as senior executives are increasingly exploring the different styles of analytics to resolve their business imperatives,” said Mr. Zaidi. “There is an increased emphasis on the ability to access, monitor, process and analyze the ever growing organizational data due to the advent of IoT, big data and cloud for business management, and strides towards a digital business. Big data use cases are maturing and have executive visibility. This is leading to more investments in data management and analytics.”

Purchasing decisions continue to move from IT leaders to line-of-business executives and users who want more agility and more flexible personalized options — making the land-and-expand model the new norm. This is in stark contrast to the large, enterprise-scale deals that fueled double-digit growth at a time when IT had larger budgets and wielded much more influence in buying decisions,” Mr. Zaidi said.

Gartner analysts will provide additional analysis on data and analytics leadership trends at the Gartner Data & Analytics Summit 2017, taking place June 6-7 in Mumbai, June 20-21 in Sao Paulo, Brazil and November 20-21 in Frankfurt. Follow news and updates from the events on Twitter using #GartnerDA.

Members of the media can register to attend the event by contacting sony.shetty@gartner.com.

Contacts

• Sony Shetty
• Gartner
• 919820900036
• sony.shetty@gartner.com

About Gartner

Gartner, Inc. (NYSE: IT) is the world's leading research and advisory company. The company helps business leaders across all major functions in every industry and enterprise size with the objective insights they need to make the right decisions. Gartner's comprehensive suite of services delivers strategic advice and proven best practices to help clients succeed in their mission-critical priorities. Gartner is headquartered in Stamford, Connecticut, U.S.A., and has more than 13,000 associates serving clients in 11,000 enterprises in 100 countries. For more information, visit www.gartner.com.

Comments or opinions expressed on this blog are those of the individual contributors only, and do not necessarily represent the views of Gartner, Inc. or its management. Readers may copy and redistribute blog postings on other blogs, or otherwise for private, non-commercial or journalistic purposes. This content may not be used for any other purposes in any other formats or media. The content on this blog is provided on an "as-is" basis. Gartner shall not be liable for any damages whatsoever arising out of the content or use of this blog.