IT spending to hit $2.5 trillion next year: Gartner
Worldwide enterprise IT spending is forecast to reach $2.5 trillion next year - a 3.1 per cent increase from a $2.4 trillion outlay in 2010, according to analyst Gartner, itself a 2.4 per cent increase from 2009.
By 2015, enterprise IT spending will represent a period of timid and at times lackluster growth with spending totaling $2.8 trillion in 2014, the market-watcher adds.
"Several key vertical industries, such as manufacturing and financial services will not see IT budgets recover to pre-2008 levels before 2012 or 2013. Emerging economies continue to be the locomotive of enterprise IT spending, substantially outpacing developed economies," the Gartner senior vice president Peter Sondergaard told audiences at this week’s Gartner Symposiom/ITxpo. "The transformation in IT spending will accelerate individual corporate change. We are on a one-way trip towards the IT-driven intelligence society."
Improvements in IT access and skills can, directly or indirectly, contribute to individual welfare, increase national productivity and output and improve productivity. A broad range of socio-economic benefits are also apparent, including better educational performance and other developmental goals.
"At the heart of the change, the next 20 years will be intelligence drawn from information," Mr. Sondergaard said. "Information will be the ‘oil of the 21st century’. It will be the resource running our economy in ways not possible in the past."
Sondergaard predicts that four broad technology trends will support change in IT, and in the economy, over the next decade:
- Cloud Computing
- Business impact of social computing technology
- Context-aware computing technology
- Pattern-based strategy
Social computing - not Facebook, or Twitter, or LinkedIn, but the technologies and principals behind them - will be implemented across and between all organisations, Sondergaard says, unleashing "yet to be realised productivity growth, it will contribute to economic growth".
Pattern-Based Strategy provides a framework to proactively seek patterns from traditional and non-traditional sources, model their impact, and adapt according to the needs of the pattern, Sondergaard adds. This builds on pattern-based technologies such as social network analysis, context aware technologies and predictive analytic tools. It will allow IT leaders to seek-out patterns amidst the burgeoning information sources and model future possibilities.