Key Takeaways
- 4.5% annual increase in U.S. pet industry spending from 2023 to 2024 (projected)
- 3.8% inflation in veterinary services in the U.S. (annual rate, reported by BLS)
- $3,000+ annual vet-care spend reported by 7% of U.S. pet households (survey)
- 28% of U.S. dog owners and 30% of U.S. cat owners report spending on pet treats monthly (survey)
- $160 average monthly spend on pet supplies by U.S. pet owners with incomes $50k-$100k (survey)
- $2.1 billion U.S. online pet products sales in 2023 (reported)
- Pet e-commerce accounted for 25% of all pet supplies sales in 2023 (reported)
- Amazon captured a majority share of online pet supply spend in 2023 (reported)
- $29.6 billion global pet food market size in 2024 (forecast)
- $19.8 billion global pet care market size in 2023 (estimated)
- 8.9% CAGR projected for the global pet grooming market from 2024 to 2032 (forecast)
- 56% of U.S. pet owners report buying pet food online (survey result reported by Packaged Facts)
- 27% of U.S. pet owners say they have purchased pet treats online in the past year (survey data reported by Packaged Facts)
- 19% of U.S. pet owners say they have purchased pet toys online in the past year (survey data reported by Packaged Facts)
- 3.9% of dogs and 3.5% of cats in the UK had pet insurance in 2023 (reported by the Association of British Insurers and cited by industry bodies)
U.S. pet spending is projected to rise 4.5% in 2024 as more owners buy online, with strong growth in grooming, insurance, and treats.
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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.
Margot Villeneuve. (2026, February 13). Pet Spending Statistics. Gitnux. https://gitnux.org/pet-spending-statistics
Margot Villeneuve. "Pet Spending Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/pet-spending-statistics.
Margot Villeneuve. 2026. "Pet Spending Statistics." Gitnux. https://gitnux.org/pet-spending-statistics.
Sources & references
36 datasets cited across this report · attribution is report-level
+11 additional datasets cited (not shown individually)

