A new report by IDG/Foundry has revealed that the United States is increasingly moving towards edge computing, with an average of 35% of computing resources now residing at the edge.
The report, commissioned by solutions integrator Insight Enterprises, found that more respondents listed the need to process data from edge devices as a top objective in 2022 than in 2021, indicating an increase from 27% to 36%. This marks the largest year-over-year increase in IT priorities among all of the changes the survey measured.
The survey polled 400 senior IT decision makers to identify the challenges they face when guiding digital transformation in their organizations. Respondents also weighed in on what IT investments they believe will bring in more money and foster technological innovation.
The survey organizers arrived at the 35% average by polling organizations on what percentage of their data estate was driven by edge workloads. Breaking it down further, 46% of organizations keep 25%–50% of their data estate in edge workloads, while a further 29% said half or more of their data estate is driven by edge workloads.
A majority (64%) of respondents expect the amount of data stored on the edge to increase in the next 12 months, while 27% expect to store the same amount of data on the edge this year as last year, and 5% expect the amount to decrease. The remaining 4% responded with “don’t know.”
Additionally, the survey found that AI, machine learning, and the Internet of Things are also high priorities, with 51% of respondents choosing them as being among their top IT objectives for 2023.
Meanwhile, many respondents (62%) stated they want to accelerate switching from on-premises to cloud-based solutions in response to the overall market environment. On average, 54% of data at respondents’ organizations resided in a public or hybrid cloud when the survey was conducted at the end of 2022.
However, IT leaders face several challenges and blockers to digital transformation, including gaps in technology skills and knowledge (45%), budget constraints (42%), technical debt resulting from siloed, legacy systems and processes (39%), cultural misalignment/disconnects between IT operations and development teams (39%), and inadequate data analysis capabilities for decision-making (38%).
The sources for this piece include an article in TechRepublic.
