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.
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.”