Enterprise Technology Research (ETR), a technology market research firm, released its Technology Spending Intentions Survey (TSIS). The TSIS shows cybersecurity leads as the highest IT priority, followed by a significant increase in network spending. The survey also reveals that tech hiring is at the highest levels ever reported in TSIS, and 64 percent of the workforce will embrace some form of remote work permanently.
Designed to provide quantitative data to predict IT spending, the TSIS is issued four times each year. The current TSIS polled 1,200 IT decision-makers, including 33 percent of respondents at the C-suite level and 45 percent at the vice president or director level.
Highlights from the survey include:
- Second-quarter growth in IT spending is projected to be 5.5 percent, down from a projected 6.8 percent growth a survey ago; total IT spending projections for 2022 are at 6.7 percent overall growth, down from 8.3 percent projected last survey.
- Cybersecurity is cited as the highest priority for IT professionals, followed by cloud migration.
- Network spending saw a jump in spending intentions and has been rising since September 2021.
- Surprisingly, the industry sector projecting the highest spending is Energy & Utilities, which is traditionally very conservative.
TSIS also shows changing trends in IT hiring. Its latest report shows demand for skilled IT talent to be at the highest levels recorded by ETR. According to the U.S. Bureau of Labor Statistics, more than 667,600 IT jobs are expected to be added between 2020 and 2030, a 13 percent growth rate.
ETR is also the first company to track work-from-home trends among IT decision-makers starting in March 2020. The TSIS report shows that 42 percent of IT employees are fully remote, 31 percent are working at home and in the office, and 27 percent are back in the office full-time.
The survey shows that permanently remote IT workers will stabilize at 25 percent, and employees with a hybrid model will stabilize at 39 percent, which is a dramatic shift from the pre-pandemic labor model.