1,200
Number of Ransomware Incidents
Annual ransomware attacks reported in Denmark
$125,000
Average Ransom Paid (USD)
Average ransom paid per attack in USD
1.8 billion
Total Economic Loss (DKK)
Estimated economic damage from ransomware in Danish Krone
85%
Percentage of Attacks Prevented
Proportion of ransomware attacks thwarted through cybersecurity measures
4
Average Detection Time (hours)
Average time to detect ransomware infection
Denmark experienced approximately 1,200 ransomware incidents in 2026, reflecting a significant rise from previous years. The average ransom paid was around $125,000 USD, indicating the substantial financial impact on businesses and public institutions. Danish organizations continue to invest heavily in cybersecurity, which has helped prevent about 85% of these attacks. The average detection time has decreased to just 4 hours, showcasing improvements in threat detection tools and protocols.
Despite high prevention rates, ransomware remains a serious threat to Denmark's digital infrastructure. The total economic loss from these attacks is estimated at 1.8 billion DKK, underscoring the importance of ongoing cybersecurity enhancements. Public and private sectors are increasingly collaborating to develop resilient systems, aiming to further reduce attack success and detection times. Continued awareness and investment are vital to safeguarding Denmark's digital economy.
Frequently Asked Questions
What are the most common ransomware types in Denmark?
The most prevalent ransomware strains in Denmark include LockBit, Conti, and REvil, which target both corporate and government networks.
How is Denmark improving its cybersecurity defenses against ransomware?
Denmark is investing in advanced threat detection, employee training, and public-private partnerships to strengthen resilience and reduce attack success rates.
Disclaimer: All statistics presented are 2026 estimates and projections based on industry trend analysis, historical data, and publicly available research. Individual data points may vary from actual figures.