Worldwide public cloud end user spending is forecast to reach $832.1 billion in 2025, growing at a 5.9% CAGR over 2024–2028. Yet adoption is anything but uniform with 62% of organizations having migrated at least one application, while cloud costs are still the top concern for 36% of IT decision makers. Layer in the fact that cloud security services alone are projected to hit $73.2 billion in 2024 and the picture starts to look more complicated than a simple “move to cloud” decision.
Key Takeaways
- 5.9% projected CAGR for worldwide public cloud end-user spending over 2024–2028 (forecast)
- $832.1 billion worldwide public cloud end-user spending in 2025 (forecast)
- $411.4 billion global cloud infrastructure services market size in 2024 (forecast by IDC)
- 62% of respondents say they have migrated at least one application to the cloud
- 74% of organizations have adopted cloud for at least one business function (survey result), showing broad penetration
- In the OECD, 42% of firms reported using cloud computing services in 2023 (OECD Broadband and Digital report dataset), indicating cross-country adoption
- 38% of organizations expect to use generative AI in production within 12 months (survey share)
- 31% of organizations say cloud-based AI/ML is already in production (survey share)
- 53% of enterprise architects say they will prioritize container adoption over the next 12–18 months (survey share)
- 99.95% availability is a common target stated in major cloud service level agreements for IaaS compute instances (SLA figure)
- 99.99% availability is the SLA for Google Cloud Load Balancing (SLA figure)
- 99.9% availability is the SLA for Amazon EC2 (SLA figure)
- AWS Savings Plans can provide up to 72% savings versus On-Demand pricing (provider-reported figure)
- Azure Reserved VM instances provide discounts up to 72% compared with pay-as-you-go (provider-reported figure)
- 3.8 million cloud job openings in the U.S. in 2023, a 96% year-over-year increase (LinkedIn Economic Graph data), indicating rapid demand for cloud-skilled roles
Public cloud spending is surging with growing adoption, generative AI deployment, and higher availability expectations.
Related reading
01 · Category
Market Size8 stats
01
5.9% projected CAGR for worldwide public cloud end-user spending over 2024–2028 (forecast)https://www.gartner.com/en/newsroom/press-releases/2024-11-14-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-total-679-billion-in-2024
02
$832.1 billion worldwide public cloud end-user spending in 2025 (forecast)https://www.gartner.com/en/newsroom/press-releases/2025-11-12-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-total-832-billion-in-2025
03
$411.4 billion global cloud infrastructure services market size in 2024 (forecast by IDC)https://www.idc.com/getdoc.jsp?containerId=prUS52547724
04
$300.2 billion global spending on cloud software in 2024 (forecast by IDC)https://www.idc.com/getdoc.jsp?containerId=prUS52533024
05
$97.4 billion global cloud platform services market size in 2024 (forecast by IDC)https://www.idc.com/getdoc.jsp?containerId=prUS52533724
06
$73.2 billion global cloud security services market size in 2024 (forecast by IDC)https://www.idc.com/getdoc.jsp?containerId=prUS52528224
07
$93.4 billion global cloud managed services market size in 2024 (forecast by IDC)https://www.idc.com/getdoc.jsp?containerId=prUS52536524
08
The global public cloud services market reached $685.6 billion in 2022 (market sizing from a peer-reviewed industry economics paper), reflecting mainstream adoptionhttps://ieeexplore.ieee.org/document/10227359
Interpretation
Market Size Interpretation
Market size signals strong and sustained momentum as worldwide public cloud end-user spending is forecast to reach $832.1 billion in 2025 with a 5.9% projected CAGR through 2028, building on the $685.6 billion global public cloud services market already reached in 2022.
02 · Category
User Adoption3 stats
01
62% of respondents say they have migrated at least one application to the cloudhttps://www.gartner.com/en/articles/cloud-migration-what-the-data-says
02
74% of organizations have adopted cloud for at least one business function (survey result), showing broad penetrationhttps://www.salesforce.com/resources/research-reports/state-of-service/
03
In the OECD, 42% of firms reported using cloud computing services in 2023 (OECD Broadband and Digital report dataset), indicating cross-country adoptionhttps://www.oecd.org/sti/broadband/broadband-and-digital-society-statistics/
Interpretation
User Adoption Interpretation
User adoption of cloud is already widespread, with 62% of respondents migrating at least one application and 74% using cloud for at least one business function, while OECD data shows 42% of firms using cloud services in 2023 across countries.
03 · Category
Industry Trends5 stats
01
38% of organizations expect to use generative AI in production within 12 months (survey share)https://www.gartner.com/en/newsroom/press-releases/2024-10-23-gartner-generative-ai-is-entering-the-experimentation-to-production-phase/
02
31% of organizations say cloud-based AI/ML is already in production (survey share)https://www.ibm.com/blog/ai-adoption-survey-2024/
03
53% of enterprise architects say they will prioritize container adoption over the next 12–18 months (survey share)https://www.hashicorp.com/resources/state-of-terraform-automation
04
8.1% of all global internet traffic was served from cloud-hosted providers (cdn/cloud infrastructure share) in 2023 (Cloudflare / industry measurement report)https://www.cloudflare.com/learning/traffic/average-cloud-traffic/
05
34% of respondents said they used Kubernetes in production (Stack Overflow Developer Survey, 2024), showing cloud-native operations adoptionhttps://survey.stackoverflow.co/2024/
Interpretation
Industry Trends Interpretation
Within industry trends for cloud computing, adoption is accelerating fast as 38% of organizations expect to run generative AI in production within 12 months and 31% already have cloud-based AI and ML in production.
04 · Category
Performance Metrics3 stats
01
99.95% availability is a common target stated in major cloud service level agreements for IaaS compute instances (SLA figure)https://cloud.google.com/compute/sla
02
99.99% availability is the SLA for Google Cloud Load Balancing (SLA figure)https://cloud.google.com/load-balancing/sla
03
99.9% availability is the SLA for Amazon EC2 (SLA figure)https://aws.amazon.com/ec2/sla/
Interpretation
Performance Metrics Interpretation
Under the Performance Metrics category, the most common availability targets cluster at extremely high levels, with 99.95% typical for IaaS compute, 99.99% for Google Cloud Load Balancing, and 99.9% for Amazon EC2, showing a clear industry emphasis on near constant uptime for critical cloud services.
More related reading
05 · Category
Cost Analysis2 stats
01
AWS Savings Plans can provide up to 72% savings versus On-Demand pricing (provider-reported figure)https://aws.amazon.com/savingsplans/
02
Azure Reserved VM instances provide discounts up to 72% compared with pay-as-you-go (provider-reported figure)https://azure.microsoft.com/en-us/pricing/reserved-vm-instances/
Interpretation
Cost Analysis Interpretation
For cost analysis, both AWS and Azure show strong potential savings, with AWS Savings Plans reaching up to 72% versus On-Demand and Azure Reserved VM instances offering discounts up to 72% versus pay-as-you-go.
06 · Category
Workforce Adoption1 stats
01
3.8 million cloud job openings in the U.S. in 2023, a 96% year-over-year increase (LinkedIn Economic Graph data), indicating rapid demand for cloud-skilled roleshttps://www.linkedin.com/news/story/cloud-job-growth-data-2023-2024-6779820/
Interpretation
Workforce Adoption Interpretation
In the workforce adoption category, the U.S. saw 3.8 million cloud job openings in 2023, up 96% year over year, showing a surge in demand for cloud-skilled talent.
07 · Category
Security & Risk3 stats
01
2,200+ publicly reported cloud data breaches since 2010 (including cloud service provider and cloud-hosting related breaches), as tracked by IBM’s X-Force incident datasethttps://www.ibm.com/reports/data-breach
02
The U.S. Federal Risk and Authorization Management Program (FedRAMP) had 400+ authorized cloud offerings as of 2024 (FedRAMP status report), demonstrating marketplace maturityhttps://www.fedramp.gov/marketplace/
03
NIST SP 800-53 Rev. 5 provides a baseline set of security and privacy controls used in cloud environments, totaling 20 control families and 1439 controls (publication count), supporting compliant adoptionhttps://csrc.nist.gov/publications/detail/sp/800-53/rev-5/final
Interpretation
Security & Risk Interpretation
Security and risk concerns in cloud computing remain acute, with 2,200+ publicly reported cloud data breaches since 2010 underscoring the need for strong controls even as the ecosystem matures through 400+ FedRAMP authorized offerings and the comprehensive 1439 controls in NIST SP 800-53 Rev. 5.
08 · Category
Cost & Optimization1 stats
01
36% of enterprise IT decision makers cite cloud costs as the top concern (2023 survey by (ISC)² / industry survey), indicating cost pressure in adoption decisionshttps://www.isc2.org/Research/Cloud-Computing-Security
Interpretation
Cost & Optimization Interpretation
With 36% of enterprise IT decision makers citing cloud costs as their top concern in 2023, the data clearly shows that Cost and Optimization are major deciding factors in whether organizations move to cloud.
Reference
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
Marcus Engström. (2026, February 13). Cloud Computing Adoption Statistics. Gitnux. https://gitnux.org/cloud-computing-adoption-statistics
MLA
Marcus Engström. "Cloud Computing Adoption Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/cloud-computing-adoption-statistics.
Chicago
Marcus Engström. 2026. "Cloud Computing Adoption Statistics." Gitnux. https://gitnux.org/cloud-computing-adoption-statistics.
Sources & references
26 datasets cited across this report
+10 additional datasets cited (not shown individually)
