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More than Half of Enterprise Mobile Budgets Are Wasted – Every Year

New Telgea research finds that more than half of enterprise mobile spend delivers no value. Usage remains in single-digit gigabytes, while plans overshoot by a wide margin
September 10, 2025

Key Data Points from Telgea’s 2025 Research Report:

  • Average employee usage: 6.6 GB per month (sample: 3,400 U.S. workers, March 2025)
  • Typical corporate plan allowance: 50–200 GB per line
  • Average spend per line: $36.50/month (Samsung & Oxford Economics, 2022)
  • Result: Less than 7% of purchased data is consumed. On paper, cost per GB is $0.36; in practice, it is $5.15.
  • Administrative overhead: ~1 IT full-time equivalent per 250 employees, ≈$115K/year (Oxford Economics & Samsung, 2022)
  • At 1,000 employees: combined cost of unused data and admin overhead ≈$866K annually

Telgea’s 2025 research report, The Hidden Costs of Unlimited Data, highlights a persistent inefficiency in enterprise mobile services. Employees use on average 6.6 GB of mobile data per month, yet plans typically provide 50–200 GB per line at a monthly cost of $36.50.

This creates a large and measurable gap. Across the sample, less than 7% of purchased data was consumed, meaning that the majority of spend is allocated to unused capacity. The nominal cost of $0.36 per gigabyte rises to $5.15 per gigabyte once measured against real usage.

The financial effect grows with scale. A 1,000-employee enterprise may waste hundreds of thousands of dollars each year on unused data alone. When including administration, typically one IT full-time equivalent per 250 staff, the combined cost can exceed $866,000 annually.

These findings are consistent across carriers and geographies. High allowances are marketed as standard, but employee usage remains in the single-digit range. Administrative demands grow in parallel with headcount, creating a predictable and recurring burden on enterprise budgets.

Submit the form below and get access to read the report to get the full insights and a proposed alternate model to reduce mobile data waste.

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