Key Takeaways
- Global e-waste generated 62 million metric tons in 2022, with IT/electronics 53.6%
- Only 22.3% of 2022 global e-waste was formally recycled, leaving 48 million tons unmanaged
- Mobile phones e-waste reached 7.8 million tons in 2022, but recycling rate under 5%
- Global data centers accounted for 1-1.3% of total electricity demand in 2022, consuming between 240-340 TWh annually
- In 2021, U.S. data centers used about 17 GW of power at peak times, representing 2.5% of total U.S. electricity consumption
- Hyperscale data centers worldwide grew their power demand by 12% year-over-year in 2023, reaching over 9 GW total
- Data centers emitted 180 million metric tons of CO2 in 2020, projected to double by 2025 without interventions
- Google's 2022 Scope 1 and 2 emissions were 14.3 million tCO2e, with data centers primary contributor
- AWS reported 51.3 million metric tons CO2e in 2022 from operations and supply chain
- 70% of Google's data centers ran on carbon-free energy 24/7 in 2023
- Microsoft aims for 100% renewable energy by 2025, achieving 44% in FY2023
- AWS matched 100% of electricity with renewables in 2022 via PPAs
- Global data centers used 1.7 billion cubic meters of water for cooling in 2021
- Google's data centers consumed 5 billion gallons of water in 2022, up 20% YoY
- Microsoft's water use hit 1.7 billion gallons in FY2023, mostly hyperscale cooling
In 2022, e-waste and electricity use surged, while most devices were not properly recycled.
E-Waste Management
E-Waste Management Interpretation
Energy Consumption
Energy Consumption Interpretation
Greenhouse Gas Emissions
Greenhouse Gas Emissions Interpretation
Renewable Energy Adoption
Renewable Energy Adoption Interpretation
Water Usage
Water Usage Interpretation
How We Rate Confidence
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.
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
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
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
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.
Isabelle Moreau. (2026, February 13). Sustainability In The Information Industry Statistics. Gitnux. https://gitnux.org/sustainability-in-the-information-industry-statistics
Isabelle Moreau. "Sustainability In The Information Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/sustainability-in-the-information-industry-statistics.
Isabelle Moreau. 2026. "Sustainability In The Information Industry Statistics." Gitnux. https://gitnux.org/sustainability-in-the-information-industry-statistics.
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