Global internet users reached 4.9 billion in 2024, yet security, cloud, and IT spend are still scaling fast enough to keep risk and downtime firmly in focus. With $623.3 billion forecast for the global cloud security market and 34% of breaches tied to ransomware, the gap between investment and outcomes is harder to ignore than ever. Let’s unpack the figures that sit underneath that tension across software, cyber, and operations.
Key Takeaways
- 4.9 billion — number of global internet users in 2024
- $2.8 trillion — estimated worldwide software market size in 2024
- $1.6 trillion — estimated worldwide IT spending in 2024
- $12.6 billion — forecast market size for IT operations management (2024)
- 34% — share of breaches with ransomware (2024 DBIR)
- $1.6 trillion — estimated economic impact of cybercrime by 2023 (report estimate)
- 58% — of enterprises report using SaaS applications across core functions in 2024
- 66% — of organizations are using or evaluating generative AI for business purposes (2024 survey)
- 55% — of US adults used generative AI tools in 2023–2024 period (survey estimate)
- 2.2x — growth in spending on risk management platforms from 2023 to 2024 (forecast)
- 90% — of organizations expect regulatory compliance to influence cloud vendor selection (survey)
- 7% — projected CAGR for edge computing 2024-2028 (forecast)
- 2.3x — median reduction in latency with CDN/edge improvements (industry report)
- 99.95% — typical service uptime target for telecom cloud platforms
- 55% — organizations reduced cloud waste by implementing FinOps practices (2024 report)
With global cyber and cloud spend soaring, organizations are accelerating security, DevSecOps, and AI adoption in 2024.
Related reading
Market Size
14.9 billion — number of global internet users in 2024[1]
Verified
2$2.8 trillion — estimated worldwide software market size in 2024[2]
Directional
3$1.6 trillion — estimated worldwide IT spending in 2024[3]
Verified
4$623.3 billion — estimated global cloud security market size in 2023[4]
Verified
5$1.2 trillion — estimated global cybersecurity market size in 2023[5]
Verified
6$300 billion — global spending on AI software (forecast) in 2024[6]
Verified
75.3% — average annual growth rate for global IT services spending projected for 2024–2028[7]
Directional
86.3% — expected annual growth rate of global cloud infrastructure services spending in 2024–2028[8]
Directional
93.9% — projected annual growth in managed security services spending 2024–2027 (forecast)[9]
Verified
Market Size Interpretation
The market for related digital security and IT services is expanding fast, with the global software market reaching $2.8 trillion in 2024 and cloud and cybersecurity growing at annual rates of 6.3% for cloud infrastructure services and about 3.9% for managed security services from 2024 onward.
More related reading
Cost Analysis
1$12.6 billion — forecast market size for IT operations management (2024)[10]
Single source
234% — share of breaches with ransomware (2024 DBIR)[11]
Verified
3$1.6 trillion — estimated economic impact of cybercrime by 2023 (report estimate)[12]
Directional
4$5.4 billion — estimated annual cost of downtime due to outages (global estimate)[13]
Directional
Cost Analysis Interpretation
From a cost perspective, organizations face massive pressure with ransomware accounting for 34% of breaches and cybercrime estimated to reach $1.6 trillion by 2023, while downtime alone is projected to cost about $5.4 billion annually globally.
More related reading
User Adoption
158% — of enterprises report using SaaS applications across core functions in 2024[14]
Verified
266% — of organizations are using or evaluating generative AI for business purposes (2024 survey)[15]
Verified
355% — of US adults used generative AI tools in 2023–2024 period (survey estimate)[16]
Verified
474% — of enterprises have adopted DevSecOps practices (2024 report)[17]
Directional
539% — of organizations reported using zero-trust security in 2023 (global survey)[18]
Single source
663% — of enterprises plan to adopt data mesh (2024 survey)[19]
Verified
79.2% — average global smartphone penetration in 2024 (as % of population)[20]
Directional
878% — of organizations have adopted infrastructure as code (IaC) for provisioning in production environments (survey)[21]
Directional
User Adoption Interpretation
User Adoption is accelerating rapidly, with 78% of enterprises already using infrastructure as code and 74% having adopted DevSecOps in 2024, showing strong momentum to modernize how work is delivered across platforms.
More related reading
Industry Trends
12.2x — growth in spending on risk management platforms from 2023 to 2024 (forecast)[22]
Verified
290% — of organizations expect regulatory compliance to influence cloud vendor selection (survey)[23]
Verified
37% — projected CAGR for edge computing 2024-2028 (forecast)[24]
Verified
464% — organizations using serverless in production or evaluation (2024 report)[25]
Verified
545% — reduction in malware delivery volume after email authentication rollout (industry metric)[26]
Single source
676% — of organizations expect to invest in zero trust within 12 months (survey)[27]
Verified
731% — of organizations are using or planning to use blockchain for supply chain in 2024 (survey)[28]
Verified
8$280 million — annual value at risk from AI misuse (report estimate)[29]
Verified
924% — of all web application vulnerabilities in 2023 were identified as injection flaws (OWASP Top 10 prevalence snapshot)[30]
Directional
107.5% — share of global IP addresses in use attributed to IPv6 in 2024 (measurement study)[31]
Verified
Industry Trends Interpretation
Across Industry Trends, organizations are clearly accelerating security and resilience spend, with 76% expecting to invest in zero trust within 12 months and spending on risk management platforms forecast to grow 2.2x from 2023 to 2024.
More related reading
Performance Metrics
12.3x — median reduction in latency with CDN/edge improvements (industry report)[32]
Verified
299.95% — typical service uptime target for telecom cloud platforms[33]
Verified
355% — organizations reduced cloud waste by implementing FinOps practices (2024 report)[34]
Verified
430% — improvement in developer productivity from platform engineering (survey)[35]
Verified
598% — traffic served via TLS 1.3 availability for major CDNs (2024 analysis)[36]
Verified
646% — of respondents reported that they experienced a production outage caused by software deployment or change in the past 12 months[37]
Single source
71.6% — average reduction in change failure rate achievable by implementing deployment guardrails (DORA-related research finding)[38]
Verified
833% — decrease in patch deployment time after adopting vulnerability management automation (peer-reviewed evaluation)[39]
Verified
Performance Metrics Interpretation
Performance metrics are trending positively as organizations cut latency by a median 2.3x and boost reliability with 99.95% uptime targets and 98% TLS 1.3 availability, even as about 46% still report deployment related production outages.
How We Rate Confidence
Models
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Single source
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Directional
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
Verified
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Models
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
David Kowalski. (2026, February 13). Market Statistics. Gitnux. https://gitnux.org/market-statistics
MLA
David Kowalski. "Market Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/market-statistics.
Chicago
David Kowalski. 2026. "Market Statistics." Gitnux. https://gitnux.org/market-statistics.
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