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Enterprise Spending on Application Development and Maintenance Increases, Driven by Interest in AI

Enterprise Spending on Application Development and Maintenance Increases, Driven by Interest in AI

ISG study finds IT service management and ERP applications key areas for cost optimization

New survey research from leading global technology research and advisory firm Information Services Group (ISG) finds planned enterprise spending on application development will rise by nearly five percent in the coming year, driven by interest in realizing the business benefits of AI technologies.

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“Enterprise priorities for ADM center on developing and deploying AI, improving use of data and supporting customer experience”

The ISG Application Development and Maintenance (ADM) Study, conducted globally last month, asked 200 executives with decision-making responsibility for application development, maintenance, management and operations about their priorities, budgets, performance and challenges, their use of managed services and their next-generation approach.

Despite ongoing cost optimization efforts, the ISG study found ADM spending continues to increase, driven in part by interest in AI. Planned development spending is accelerating faster than maintenance spending, rising at 4.6 percent, compared to 1.6 percent for maintenance.

“Enterprise priorities for ADM center on developing and deploying AI, improving use of data and supporting customer experience,” said Alex Bakker, ISG Distinguished Analyst and co-author of the ISG study. “However, AI interest is not universal within organizations. Our survey found business line decision-makers prioritize customer experience and use of data, while enterprise executives are more focused on developing AI capabilities. This suggests that different audiences may be prioritizing different time horizons in their ADM contracts.”

Fifty-five percent of respondents said developing and rolling out AI capabilities is one of their top five focus areas for their enterprise application portfolios between now and year-end 2024. Other top priorities for 2024 are improving data usage and access (a top priority for 50 percent of respondents); supporting an improved customer experience (49 percent); application portfolio cost reduction (46 percent) and migrating applications to the cloud (45 percent).

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Organizations rated ERP, customer relationship management (CRM), and IT service management (ITSM) applications as meeting their needs most often, with around 60 percent indicating they were meeting most or all business needs. However, of these three application categories, ERP and ITSM were also identified as top targets for cost optimization, with 39 percent and 31 percent of respondents targeting them, respectively.

In contrast, only 25 percent of respondents say their business expectations are being met by their AI and data products development applications, and these applications were expected to get the greatest level of investment, with greater than 60 percent of enterprises expecting to prioritize investment in them over the next two years.

“With relatively fewer enterprises reporting their business expectations are being met at least in part by their AI and data products applications, it is no surprise that they, along with broader BI, ML and analytics applications, are the top enterprise application priorities for the next two years,” said Michael Dornan, principal analyst and co-author of the study. “Enterprises will typically embed AI capabilities into their current application portfolio rather than rebuild from scratch, which will cause spending on application development to increase.”

Sixty-five percent of respondents said BI, analytics, ML and AI will be an application development priority over the next two years, and 60 percent cited AI and data products development.

Legacy applications are still a significant cost burden, with a third of respondents (33 percent) reporting their organization continues to support 100 or more “end of life” applications due to legacy data in those applications (reported by 54 percent of respondents), the cost of transitioning users to a new application (44 percent) or employee resistance to the transition (38 percent).

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