48% of organizations cite data security and privacy issues as a top data challenge.

25% of organisations across surveyed markets say their responses to digital disruption largely go to plan

In the last six months, Microsoft Teams attacks escalated by 41%.

91% of enterprises experience workflow bottlenecks despite deploying AI and automation.

Only 9% of enterprises report no significant workflow delays.

35% of organizations have fully implemented an identity-based Attack Path Management (APM) solution, up from 21% in 2025.

54% of organizations are actively developing plans to strengthen their security posture and risk mitigation strategies for quantum computing.

In Q4 2025, 70% of consumers said they were at least somewhat comfortable with AI agents making purchases on their behalf

Only 31% of IT leaders feel confident in their ability to manage cybersecurity risks linked to AI.

Impersonation breaches or attacks were significantly down among charities compared with the previous two years (7% this year down from 11% in 2024/2025 and 12% in 2023/2024).

51% of small business owners say business owners themselves are "very responsible" for preventing and protecting against fraud.

89% of organizations describe their approach to AI as "learning as we go."

65% of CIOs are not strongly confident in their ability to scale AI beyond pilots and proofs-of-concepts.

Software spending is forecast to reach $1.44362 trillion in 2026, growing 15.1% year-over-year.

Spending growth in GenAI model development is forecast to more than double year-over-year.

Only 25% of UK IT decision makers report having strong governance frameworks for agentic AI.

95% of enterprises provide cybersecurity hygiene training.

Almost one-third of organizations report extensive AI use across most or all threat detection and incident response activities, up from 25% last year.

46% of organizations cite insufficient data management and governance as a top data challenge.

39% of organizations actively using, piloting, or exploring AI say most AI-enabled workflows still rely on separate, standalone tools.