The enterprise software industry is in a state of dramatic disruption, with top players such as Dell, Cisco, IBM and others struggling to remain competitive in a sea of hot startups making their play for what is $300 billion in annual IT spending across the world. Many of these startups mentioned above operate in dynamic areas including cloud computing, big data, and open source technology sending big conglomerates into a relative scramble. Below we will outline these areas in particular which are ripe for disruption for enterprise software in 2016.
With hundreds of billions of dollars in data center spending shifting almost entirely to the cloud, players such as Microsoft are working hard to catch up with Amazon Web Services, the current leader in the cloud computing space. As it stands, Amazon is on track to set another record breaking year of growth. With that in mind, I’d not be surprised if we see some notable acquisitions on Microsoft’s part of perhaps a private-cloud leader in order to supercharge their stack and compete in this arena.
Open source technology is quickly becoming the standard for infrastructure software. Many early to market leaders who have found a way to monetize are set to go public in the coming year, setting a strong precedent for others in the impending future. These include both new players as well as those currently experiencing millions of downloads but no revenue streams to date who need to figure out a way to monetize themselves. It should be a profound year for open source technology, overall.
It is without question we are currently living in an age of big data. By big data I mean exponentially large data sets made possible by considerable advances in technology. The challenge is, how as an enterprise to harness this data for the better, as doing so can serve to revolutionize business practices, improve enterprise efficiency, gain competitive advantages, and other invaluable benefits. For that, comes a hot industry known as big data analytics, or the process of examining large data sets to unearth correlations, patterns, trends, and other useful information. Leaders in the space serve to help businesses make more informed decisions by utilizing sources of data typically left untapped given their insurmountable volume. Up until now, combing through such substantial data sets was next to impossible. Today, advances in analytical software and technology in general has now made it a reality, able to process huge volume rapidly with instant, sound, actionable advice.