Key Takeaways
- In 2022, the global pharmaceutical industry generated 78 million tonnes of CO2 equivalent emissions, accounting for 3.4% of total healthcare sector emissions.
- Pfizer reported a 23% reduction in Scope 1 and 2 GHG emissions per API kg from 2015 to 2022, achieving 0.12 tCO2e per kg.
- GSK's absolute Scope 1 and 2 emissions decreased by 15% from 2019 to 2022, totaling 1.2 million tCO2e.
- Global pharma water withdrawal averages 1.5 billion cubic meters annually, with 70% for cooling in manufacturing.
- Pfizer recycled 85% of its water in 2022, reducing freshwater use to 2.1 billion liters.
- GSK withdrew 1.8 billion liters of water in 2022, with zero discharge to freshwater in 90% of sites.
- Global pharma industry generated 250,000 tonnes of hazardous waste in 2021.
- Pfizer diverted 98% of non-hazardous waste from landfill in 2022.
- GSK reduced waste intensity by 25% since 2015 to 45 kg per million CHF sales.
- Pharma industry energy consumption totals 200 TWh annually, 2% of global industrial use.
- Pfizer sourced 45% renewable electricity in 2022, up from 20% in 2019.
- GSK achieved 100% renewable electricity globally by 2022.
- 52% of pharma companies use recycled plastics in packaging by 2023.
- Pfizer sources 30% sustainable palm oil for packaging.
- GSK 100% responsibly sourced priority materials by 2022.
The pharmaceutical industry has a major environmental impact but makes steady progress.
Carbon Emissions and Climate Change
Carbon Emissions and Climate Change Interpretation
Energy Consumption and Renewables
Energy Consumption and Renewables Interpretation
Supply Chain and Sustainable Materials
Supply Chain and Sustainable Materials Interpretation
Waste Reduction and Management
Waste Reduction and Management Interpretation
Water Usage and Management
Water Usage and Management 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.
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.
Sophie Moreland. (2026, February 13). Sustainability In The Pharmaceutical Industry Statistics. Gitnux. https://gitnux.org/sustainability-in-the-pharmaceutical-industry-statistics
Sophie Moreland. "Sustainability In The Pharmaceutical Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/sustainability-in-the-pharmaceutical-industry-statistics.
Sophie Moreland. 2026. "Sustainability In The Pharmaceutical Industry Statistics." Gitnux. https://gitnux.org/sustainability-in-the-pharmaceutical-industry-statistics.
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