Big Data Market Segment LS
Big Data Market Segment RS
Tuesday, 18 September 2018 22:48

IDC says SAS leads predictive analytics at twice market share of nearest competitor

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Global market intelligence advisory service IDC has released its findings on the worldwide big data and analytics software market share for 2017, revealing the number one vendor beats the market with more than twice the share of its nearest competitor.

IDC — or International Data Corporation — released its Worldwide Big Data and Analytics Software 2017 Market Shares: Healthy Growth Across the Board report this month.

It defines the big data and analytics software market as an aggregation of several software tools and application markets with the functionality to aggregate, manage, organise, analyse, access, and deliver structured and unstructured data.

IDC reported SAS led the advanced and predictive analytics category in 2017 with a market share of 30.8%, followed by IBM (12.4%), Mathiworks (11.1%) and Microsoft (3.1%). This places SAS at twice the market share of its nearest competitor, and in fact, a higher market share than its closest four competitors combined.

SAS has operated for over 40 years and remains a privately owned company. It has customers in 147 countries and is used by over 83,000 business, government and university sites.

The latest report continues SAS’ unbroken lead in the category, holding the position every year since IDC began tracking the market in 1997.

“SAS has been able to retain authority in the advanced and predictive analytics market and continue to grow year over year,” said Chandana Gopal, Research Manager for Business Analytics at IDC. “This is not an easy feat given the rise in the number of competitors entering the market. SAS’ tools now make it easier for users to develop in open source tools and then integrate their models into the SAS Platform. Capabilities like this help SAS stay at the top of the category.”

SAS reinvests in research and development more than twice the average for major technology firms. In 2017, SAS devoted 26% of its overall revenue of US$3.24 billion into developing AI, IoT, data management and analytics software.

“We continue to work closely with our customers to transform a world of data into a world of intelligence,” said Jim Goodnight, chief executive of SAS.

“Over the years, SAS has developed and refined an incredibly deep set of capabilities in advanced analytics that has propelled us to the top of the market. But we are not content to stand still. A curiosity about what’s possible, and a passion for analytics shared with our customers, means ceaseless development in emerging areas like AI, machine learning, IoT, risk management, fighting fraud and more.”

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David M Williams

David has been computing since 1984 where he instantly gravitated to the family Commodore 64. He completed a Bachelor of Computer Science degree from 1990 to 1992, commencing full-time employment as a systems analyst at the end of that year. David subsequently worked as a UNIX Systems Manager, Asia-Pacific technical specialist for an international software company, Business Analyst, IT Manager, and other roles. David has been the Chief Information Officer for national public companies since 2007, delivering IT knowledge and business acumen, seeking to transform the industries within which he works. David is also involved in the user group community, the Australian Computer Society technical advisory boards, and education.

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