Wednesday 27 September 2017

*NEW RESEARCH*: Software & App Services Market Trends & Forecasts 2017

The Enterprise Software & Application Services Market Trends & Forecasts 2017 report is hot off the keyboard and ready for download HERE.

logoWith growth of just 2.5% last year, the software and application services sector did outperform the overall UK SITS market but there is no room for complacency. The market remains a tough place to operate in because scaled up digital deployments haven’t really materialised. We’re still in the realms of small scale serial digital projects and while volumes are rising they are not substantial – yet. The growth in digital consulting demonstrates intense interest however and points to building demand, while the level of SaaS adoption (a foundation digital component) is having a more decided impact. The challenge for suppliers is converting digital interest to major revenue.    

The report includes recommendations for suppliers to act on. Making the most of existing assets has long been a requirement for suppliers and enterprises. As we look at the 2017-2020 timeframe the top priority will be making use of the substantial data assets held within each and every enterprise. Those data assets will rapidly expand as businesses make the shift to data-producing digital business models. Insight from data is the most valuable output from digital transformation. As our ‘Unlocking the Intelligence’ research theme stresses, helping unlock its value through analysis to provide actionable insight is the surest way for suppliers to prove the digital transformation business case and scale digital projects across the enterprise.

Enterprise Software & Application Services Market Trends & Forecasts 2017 is available to TechMarketView subscribers who take the ESASViews research stream. If you don’t have a subscription and would like details please contact Deborah Seth.

Posted by Angela Eager at '07:59' - Tagged: markettrends   software   forecasts   ApplicationServices   data   digitaltransformation   machineintelligence