Key Takeaways
- $129.2 billion global arboriculture/vegetation management services market estimated in 2023 (includes tree care/arboriculture-related services)
- $89.7 billion global landscape services market estimated in 2023 (adjacent outdoor amenity services including tree care)
- $20.7 billion U.S. landscaping services revenue (NAICS 561730) in 2022
- 65% of U.S. homeowners report hiring a landscaping professional at least once in the past 12 months (tree care included in outdoor landscaping services)
- $3.5 billion: estimated global arboriculture industry revenue driven by infrastructure, municipalities, and utilities (tree risk management demand) in 2023
- 47% of utilities in the U.S. report spending on vegetation management to maintain reliability and reduce outages (survey of electric utilities)
- 27% of U.S. tree service customers use online reviews to choose a vendor (BrightLocal survey results)
- 4.7/5 average rating score for leading tree service providers on HomeAdvisor/Angi platforms (platform ratings summary)
- 30% faster estimate turnaround when using digital estimating software vs. paper quotes (industry SaaS case study)
- $1,000 average residential arborist service bill reported by HomeAdvisor/Angi for tree removal in 2024
- $500 average cost to trim a medium-sized tree in the U.S. reported by Angi for 2024
- $123 per tree per year net ecosystem service value for urban trees in U.S. meta-analyses (peer-reviewed synthesis)
- $1.2B: total annual OSHA workplace injuries cost for falls in the U.S. (risk relevant to tree climbing/work-at-height)
- 6,000+ tree workers are estimated in the U.S. (NAICS 561710/561730 arboriculture-related workforce estimates)
- 5.9% of tree workers report being injured on the job in a year (survey-based estimate)
With strong growth and demand from homeowners and utilities, urban tree services are expanding fast.
Related reading
Market Size
Market Size Interpretation
Industry Trends
Industry Trends Interpretation
Operational Performance
Operational Performance Interpretation
More related reading
Cost Analysis
Cost Analysis Interpretation
Safety & Compliance
Safety & Compliance Interpretation
Industry Structure
Industry Structure Interpretation
More related reading
Utility & Risk
Utility & Risk Interpretation
Workforce Safety
Workforce Safety Interpretation
Demand & Pricing
Demand & Pricing Interpretation
More related reading
Market Supply
Market Supply Interpretation
Program Impact
Program Impact 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.
Sophie Moreland. (2026, February 13). Tree Care Industry Statistics. Gitnux. https://gitnux.org/tree-care-industry-statistics
Sophie Moreland. "Tree Care Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/tree-care-industry-statistics.
Sophie Moreland. 2026. "Tree Care Industry Statistics." Gitnux. https://gitnux.org/tree-care-industry-statistics.
References
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