By now, it seems clear that Big Data isn't just another buzzword. In fact, the market for Big Data solutions shows no signs of waning in coming years, with Wikibon predicting that it will reach $28.5 billion by 2017, a 38 percent CAGR since 2011. It's a booming market, and VARs able to leverage the technology stand to grow their revenues along with the growth of Big Data itself. Here's where we see Big Data headed in the next five years.
Big Data in the Enterprise
Big Data solutions will continue to penetrate further into all sectors of the enterprise, from retail all the way to government. There are several reasons for this. The continued maturation of both Big Data infrastructure and application pieces and the continued success of Big Data implementations will continue to erode barriers to entry for the more conservative buyers in the market. Meanwhile, the growth of the Big Data ecosystem will create a larger selection of Big Data solutions, allowing more organizations to find tools suited to their needs. And as Big Data continues to demonstrate its overall value in providing real-time intelligence and informing actionable business decisions, more organizations will be willing to invest in the technologies.
Custom Big Data Solutions Will Proliferate
Speaking of Big Data solutions, the diversity of use cases for Big Data in the enterprise will force the development of ever more tailored and customized solutions for various business sizes, sectors, and purposes. VARs who add development to their Big Data roadmap will be in a strong position to capitalize on this trend, but even those who don't will benefit from a thorough understanding of how Big Data can meet their customers' needs. "Business Intelligence" is a compelling but rather broad term. Civil engineers and state governments will have different intelligence needs, for example, than retailers, and brick-and-mortar retailers will have different needs than online sellers. Where there is a demand, the market will respond. So can VARs.
Big Data Will Join Forces with the Cloud
Depending on their purpose and scope, Big Data can demand quite a lot from the infrastructure they run on. That infrastructure alone can represent a significant investment for organizations. Virtualization and the cloud can address this challenge in a more flexible and cost-effective way than physical infrastructure alone, and private cloud can mitigate security concerns around cloud deployments. VARs interested in leveraging the Big Data movement should, therefore, look to learning all they can about how data center technologies like cloud, virtualization, network virtualization, network functions virtualization (NFV), and software defined networking (SDN) can benefit Big Data solutions.
The technology trends of recent years, like Big Data, cloud, and virtualization, look set to transform the way businesses run and the way their data centers support those operations. It can be a lot to take in, but the rewards of getting up to speed on the latest technologies and their relevance for VARs are worth it. Are you ready to take advantage? If you're not sure your expertise is up to scratch, contact an Ingram Micro data center specialist for training, resources, and support.
Where do you see Big Data solutions headed in the next five years? Tell us your thoughts in the comments.