Machine learning will disrupt big data analytics landscape in 2017: Ovum

Streaming analytics is primed to be the big breakout use case for big data in 2017, but the big disruptor in the big data landscape will be machine learning, according to Ovum. Ovum's new 2017 Trends to Watch: Big Data report says that big data remains the fastest-growing segment of the information management software market, and is forecast to grow from $1.7 billion in 2016 to $9.4 billion by 2020, comprising 10% of the overall market for information management tooling. The most disruptive trend, however – and the one driving many of the above – is going to be machine learning, Ovum says. Under the covers, machine learning is already becoming ubiquitous as it is embedded in many services that consumers take for granted. Increasingly, machine learning is becoming embedded in enterprise software and tooling for integrating and preparing data.