Budget
We've curated 206 cybersecurity statistics about Budget to help you understand how organizations are allocating resources to combat cyber threats and what strategies are proving effective in maximizing their security investments in 2025.
Showing 21-40 of 206 results
57% of organizations in Canada report security funding as good or readily available.
20% of IT budgets are now dedicated to security among organizations in Canada.
The dominant investment priorities for midmarket organizations are AI and automation (49%) and adding new solutions (33%).
91% of security leaders report that recent high-profile ransomware incidents are moderately or significantly influencing their buying decisions.
55% of organizations are cutting or not increasing investment in red and purple teaming.
48% of businesses say the CEO now makes the final decision on cyber budgets.
80% of organizations increased cybersecurity budgets in 2026.
59% of organizations are increasing spending on cloud and third-party security.
64% of U.S.-based cybersecurity leaders report sufficient budget for AI.
89% of midmarket security leaders report increasing budgets.
52% of organizations are cutting or not increasing investment in identity access management controls and zero-trust architecture.
70% expect insider risk budgets to rise again in 2026, with 28% anticipating increases of 10% or more.
74% of organizations are seeing double-digit cybersecurity budget growth in 2026.
44% of organizations identify AI as the top driver of cybersecurity budget increases.
30% of companies dedicate specific budgets to AI security.
56% of organizations invest in agentic discoverability, 55% invest in API security, and 54% invest in web application firewalls.
64% increased insider risk budgets in 2025, yet 45% still view funding as insufficient.
95% of organizations are increasing cybersecurity budgets in 2026.
44% of organizations would cut AI investment first if cybersecurity budgets tightened.
46% of internal audit leaders cite limited financial budget as a barrier to AI-specific risk management efforts.