Key Takeaways
- 36% of global final energy consumption is used in buildings in 2021
- 99.9% of Microsoft’s datacenter electricity was matched with renewable energy by 2023 (company target status)
- 21% of global electricity is produced from solar power in 2023 (Ember dataset)
- 50% of energy in a typical data center can be attributed to cooling and power systems (IEA benchmark/analysis)
- 64% of organizations say they are increasing investment in energy efficiency for IT in 2023
- 31% of cloud consumers reported increased adoption of virtualization/consolidation to reduce energy use in 2022 (survey result)
- 10% to 20% carbon reduction is projected from virtualizing servers instead of running dedicated infrastructure for equivalent workloads (modeled LCA findings)
- 2.5x higher resource utilization is reported for cloud-based systems compared with baseline underutilized on-prem environments (industry benchmarking study)
- 40% average server utilization reduction from consolidation programs is reported in a peer-reviewed study (utilization improvements)
- 40% of organizations report using serverless functions for at least one production workload in 2023 (survey result)
- 22% year-over-year growth in cloud data center demand for power in North America is reported by a leading grid/load forecast (forecast figure)
- 60% of companies say their sustainability goals influence their IT buying decisions (survey result)
- 31% of the world’s final energy consumption is consumed by the industry sector (2019), making it the largest end-use sector and a major driver of emissions relevant to decarbonizing computing infrastructure
- 31% of global electricity generation comes from renewables (2022), indicating the decarbonization pathway available to cloud operators via power procurement
- 6.9% of global electricity generation was from nuclear power in 2022, supporting the low-carbon grid mix options that reduce the emissions intensity of computing workloads
Cloud energy use and emissions are rising, but energy efficient and carbon aware strategies can significantly cut impacts.
Related reading
- Technology Digital MediaCloud Computing Industry Statistics
- Sustainability In IndustrySustainability In The Industrial Industry Statistics
- Sustainability In IndustrySustainability In The Commercial Industry Statistics
- Digital Transformation In IndustryDigital Transformation In The Cloud Computing Industry Statistics
01 · Category
Emissions Accounting5 stats
Emissions Accounting Interpretation
02 · Category
Cooling Efficiency1 stats
Cooling Efficiency Interpretation
03 · Category
Sustainability Adoption1 stats
Sustainability Adoption Interpretation
04 · Category
Cost Analysis1 stats
Cost Analysis Interpretation
05 · Category
Performance Metrics6 stats
Performance Metrics Interpretation
06 · Category
Industry Trends3 stats
Industry Trends Interpretation
More related reading
07 · Category
Energy & Emissions6 stats
Energy & Emissions Interpretation
08 · Category
Adoption & Procurement1 stats
Adoption & Procurement Interpretation
09 · Category
Market Size & Forecasts3 stats
Market Size & Forecasts Interpretation
10 · Category
Policy & Standards2 stats
Policy & Standards Interpretation
11 · Category
Performance & Efficiency3 stats
Performance & Efficiency Interpretation
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.
Nathan Caldwell. (2026, February 13). Sustainability In The Cloud Computing Industry Statistics. Gitnux. https://gitnux.org/sustainability-in-the-cloud-computing-industry-statistics
Nathan Caldwell. "Sustainability In The Cloud Computing Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/sustainability-in-the-cloud-computing-industry-statistics.
Nathan Caldwell. 2026. "Sustainability In The Cloud Computing Industry Statistics." Gitnux. https://gitnux.org/sustainability-in-the-cloud-computing-industry-statistics.
Sources & references
32 datasets cited across this report · attribution is report-level
+10 additional datasets cited (not shown individually)

