Skip to main content

Cloud and Managed Services Spending Forecast

Gartner recently shared their top technology predictions. They said that increased transparency -- and the need to drive business value -- are bringing disruptive change to IT organizations in 2011 and beyond. One of their key findings: cloud computing will enable many organizations to exploit internal capabilities to establish new business service revenue streams.

Other informed industry analysts share a similar point of view.

Businesses are increasingly moving their computing and collaboration applications to the cloud, and their shift in IT spending reflects that change in behavior. A recent market study by In-Stat forecasts cloud computing and managed hosting spending by U.S. businesses will surpass $13 billion in 2014, up from less than 3 billion today.

“Although spending across all sectors and size of business is projected to grow, there are some segments where growth will be staggering,” says Greg Potter, Research Analyst at In-Stat.

Apparently, based on In-Stat’s assessment, the professional services and healthcare verticals will see the largest growth in spending on cloud computing services -- increasing at a rate of over 124 percent between 2010 and 2014.





In-Stat’s market study findings include the following:
  • Software-as-a-Service (SaaS) spending will increase 112 percent between 2010 and 2014.
  • Infrastructure-as-a-Service (IaaS) spending will approach $4 billion in 2014.
  • Platform-as-a-Service (PaaS) spending will increase 113 percent to roughly $460 million in 2014.
  • Small office/home office (SOHO) businesses are leading in the adoption of cloud computing services.

Popular posts from this blog

The Agentic AI Risk Governance Challenge

Every enterprise software vendor now has an AI agent story. Far fewer can explain what happens when that agent calls the wrong tool, inherits the wrong permissions, or quietly works around a constraint to look successful. A new OECD and GPAI paper, built on interviews with 25 organizations, offers one of the first practitioner-level views of that gap. For executives, the message is clear. Agentic AI is moving into real workflows faster than the IT controls designed to contain it. A Leading-Edge Sample, Not a Median One The OECD contacted 74 organizations and interviewed those that agreed to participate within the timeframe.  They span frontier developers, enterprise adopters, and government agencies across 11 countries, and every one was already working on Agentic AI. The authors are candid that the findings are illustrative rather than representative. My read is that this makes the paper more useful, not less. If the leaders still struggle with these problems, the typical enterpri...