Based on anonymized data from over 15,000 employees across 12 industries, this report provides the most comprehensive view of workforce productivity trends available today. Understand how your organization compares to peers, identify the metrics that truly matter, and discover the management practices that distinguish high-performing teams from average ones. Updated for 2026 with new sections on AI-augmented productivity and hybrid work optimization.
Workforce productivity is undergoing a fundamental transformation. The convergence of AI-augmented workflows, hybrid work models, and evolving employee expectations has created a landscape where traditional productivity metrics are increasingly insufficient. Organizations that continue to measure output solely through hours-worked or tasks-completed are missing the full picture.
This report analyzes anonymized productivity data from 15,247 employees across 12 industries, collected between January and December 2024. The findings reveal significant variation in productivity patterns across sectors, company sizes, and work models, with actionable insights for leaders seeking to optimize workforce performance.
Our analysis surfaced several critical findings that challenge conventional assumptions about workforce productivity:
Technology companies continue to lead in productivity metrics, with an average revenue-per-employee of $412,000. However, the dispersion within the sector is enormous. Top-quartile tech companies generate 3.2x the revenue-per-employee of bottom-quartile peers, suggesting that technology sector membership alone is not a productivity advantage.
Manufacturing productivity has seen a notable 8% improvement year-over-year, driven primarily by IoT sensor integration and predictive maintenance adoption. Companies utilizing real-time workforce tracking and scheduling optimization report 15% fewer unplanned downtime events and 22% better labor utilization rates.
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An annual benchmarking report analyzing employee productivity metrics across 12 industries. Includes utilization rates, output-per-hour trends, and the impact of remote and hybrid work models on workforce performance.
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