1. Your product¿A high IT element in products (insurance and financial products, for example) usually means higher IT costs.2. Business volatilityIf you are absorbing another company in an acquisition, your spending will be higher than normal.3. Organizational structureA decentralized IT structure is more expensive to operate than a centralized one. SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe 4. Competitive pressureIf your company focuses on using IT to add new business capabilities, your spending will be higher. 5. GeographyA global enterprise’s IT is more expensive than that of a local or regional company.6. SizeSmaller companies tend to spend more on IT as a percent of revenue than larger companies in their industry. (Big companies tend to spend more per employee because they tend to be more complex.) 7. ComplexityHighly complex IT infrastructures (many different systems, many older systems) cost up to 50% more to maintain than low-complexity infrastructures (standardized, few applications).8. Appetite for riskAggressive adopters of new technology may outspend mainstream adopters by 30% and risk-averse companies by 50%.9. Service levelsHigh service levels (for mission-critical IT) cost more to maintain than low service levels.10. Blip spendingUpgrading a system or refreshing all the old PCs across the company can raise costs temporarily.11. Rogue spendingCompanies where IT is decentralized and business functions have the power to buy their own IT will spend more. 12. Revenue per employeeCompanies with high revenue per employee will tend to have more knowledge workers who use IT intensively, thus pushing up IT spending levels per employee.Sources: Aberdeen Group, Forrester, Gartner Related content feature Mastercard preps for the post-quantum cybersecurity threat A cryptographically relevant quantum computer will put everyday online transactions at risk. Mastercard is preparing for such an eventuality — today. By Poornima Apte Sep 22, 2023 6 mins CIO 100 CIO 100 CIO 100 feature 9 famous analytics and AI disasters Insights from data and machine learning algorithms can be invaluable, but mistakes can cost you reputation, revenue, or even lives. These high-profile analytics and AI blunders illustrate what can go wrong. By Thor Olavsrud Sep 22, 2023 13 mins Technology Industry Generative AI Machine Learning feature Top 15 data management platforms available today Data management platforms (DMPs) help organizations collect and manage data from a wide array of sources — and are becoming increasingly important for customer-centric sales and marketing campaigns. By Peter Wayner Sep 22, 2023 10 mins Marketing Software Data Management opinion Four questions for a casino InfoSec director By Beth Kormanik Sep 21, 2023 3 mins Media and Entertainment Industry Events Security Podcasts Videos Resources Events SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe