Skip to main content

Hyperconverged Platforms Enable Digital Transformation

More informed CEOs and their leadership teams are asking the CIO to step-up and take on new bold goals. Meanwhile, evolving senior executive needs for substantive business-led digital transformation projects continue to fuel ongoing opportunities for hybrid cloud infrastructure vendors.

Fulfilling these specific Line-of-Business (LOB) requirements is prompting IT organization shifts from traditional, stand-alone data center infrastructure to operationally efficient hyperconverged platforms, according to the latest worldwide market study by Technology Business Research (TBR).

In turn, this transition creates a market that will grow at a 60.1 percent CAGR from 2014 to 2019, according to TBR's latest global market forecast.

Growing Demand for Efficient IT Infrastructure

"The typical customer of hyperconverged platforms requires ongoing infrastructure transformation to improve efficiency of internal processes and management of operations," said Christian Perry, practice manager and principal analyst at TBR.

TBR analysts say that the customers they've surveyed already consider hyperconverged solutions to be enablers of that transformation and the next step to achieving their desired business outcomes. Quickly deployed and efficiently managed IT infrastructure is now seen as a key to long-range growth initiatives.

Traditional IT challenges -- such as maintaining the aging legacy computing systems -- continue to influence purchases of more capable data center infrastructure, including stand-alone servers and more efficient object storage solutions.

IT Systems and Operation Practices Evolve

As today's IT organizations encounter detailed requests from internal LOBs or for specific new workload types, the need for agile systems deployment and streamlined, consolidated management becomes paramount.

Moreover, application development updates and workload enhancement must occur on shorter cycles, and that's why the adoption of DevOps methodologies are typically part of the transition to these latest hyperconverged platforms.

Many vendor customers now say that they recognize hyperconverged platforms are a viable solution to their legacy IT challenges, reporting high satisfaction with most aspects of the procurement experience -- from solution evaluation, to purchase and eventual deployment.

As the hyperconverged platforms market evolves, there's an apparent shift toward the deployment of business-centric workloads, such as ERP and CRM. As more enterprise customers expand their hyperconverged platforms footprint -- and grow more comfortable with the technology -- they seek to extend the inherent IT management benefits to larger portions of their overall workload ecosystems.

TBR expects this transition to hyperconverged platforms will continue throughout 2016. Their scheduled ongoing customer research includes analyzing more than 400 surveys and in-depth discussions with current owners of hyperconverged platforms.

The research includes extensive findings on purchase drivers; customer satisfaction; procurement challenges; attach rates for services, hardware and software; also the displacement consequences from a typical deployment.

Popular posts from this blog

Frontier AI Peaked. Here's What Comes Next

The prevailing narrative around artificial intelligence (AI) has been one of relentless scale. Bigger models, bigger clusters, bigger budgets. The assumption, largely unchallenged until recently, was that raw parameter count translated directly into competitive advantage. New research from Omdia suggests it's time to retire that assumption. According to the latest market study by Omdia, parameter growth in frontier AI models has slowed to around 5 percent annually since 2021, a stark contrast to the more than hundredfold expansion seen between 2019 and 2021. Enterprise AI Market Development For executives who have been making infrastructure and investment decisions based on the assumption that AI would keep demanding ever-larger, ever-more-expensive hardware, this finding deserves serious attention. The race to the top of the model size leaderboard has, at least for now, plateaued. Crucially, Omdia's analysts are not reading this as an AI winter. Alexander Harrowell, senior pri...