In our previous article, “Concurrent License Usage: What You Need to Know,” we explored how concurrent licensing allows organizations to share a pool of software licenses across multiple users. This model helps maximize license utilization while controlling the cost of expensive engineering and enterprise software.
But understanding how concurrent licensing works is only the first step.
Once licenses are deployed in real environments, organizations begin asking deeper operational questions:
- Are licenses actually used efficiently?
- When do usage peaks occur?
- Are license denials caused by real demand or inefficient usage?
- Do users have idle periods during their work sessions?
These questions cannot be answered by license servers alone. This is where concurrent license usage reporting and software license usage reporting become essential.
By analyzing software license usage data over time, organizations can uncover hidden usage patterns, understand license demand, and identify opportunities for software license optimization.
In this article, we will explore:
We will also get a glimpse of how Chiyoda Philippines used license usage reporting to gain visibility into software consumption and right-size its license pool.
What Is Software License Usage Reporting?
Software license usage reporting is the process of collecting, analyzing, and visualizing license activity data to understand how software licenses are consumed across users, teams, and time periods.
In concurrent licensing environments, this is often referred to as concurrent license reporting, where shared license usage is analyzed across a common license pool.
Instead of relying on raw license server logs, software license usage reporting tools transform license activity into insights on utilization and demand patterns.
These insights help teams evaluate efficiency and identify opportunities to improve access and optimize software investments and support software license optimization efforts.
WEBINAR: Raw license data alone does not drive decisions. Watch “From Data to Decisions” to see how organizations turn usage data into actionable insights for license optimization. Here’s your invitation to watch the recording.
Open iT | Webinar On-Demand
License Usage Analytics for Engineering Teams
Key Concepts in Concurrent License Reporting
- License Utilization – The percentage of available licenses actively in use over time
- License Denials – Failed license requests when no licenses are available
- Idle Sessions – Licenses that remain checked out without active use
- Peak Concurrent Usage – The highest number of licenses used simultaneously during a given period
- True Active Usage – Actual user activity measured through CPU, I/O, and input events, not just license checkouts
Why Do Organizations Need Software License Usage Reporting?
Organizations rely on concurrent license reporting and software license usage reporting to understand how shared license resources are actually consumed across the enterprise.
As discussed earlier, concurrent licensing allows multiple users to draw from a shared pool of software licenses. While this model improves flexibility, it can make usage patterns difficult to interpret without structured reporting.
License servers generate large volumes of activity data, including:
- license checkouts
- license check-ins
- Lizenzverweigerungen
- session duration
However, raw logs alone rarely provide clear insight.
This is where software license usage reporting tools play a critical role, transforming raw data into actionable insights, allowing organizations to:
- Track license utilization trends
- Identify peak demand periods
- Detect license shortages
- Understand how licenses are used across teams
With this visibility, IT teams can make informed decisions about license allocation, procurement, and optimization.
DEMO: Turn concurrent license reporting into real cost savings.
Which Key Metrics Matter in Software License Usage Reporting?
Software license usage reporting tools analyze certain metrics to reveal how licenses are consumed across users, teams, and time periods.
These metrics are foundational to concurrent license reporting, helping organizations assess license pool sizing, identify demand spikes, and evaluate usage efficiency.
Key metrics include:
License Utilization Rate
Measures the percentage of available licenses in use during a given time period. High utilization may indicate heavy demand, while low utilization may suggest overprovisioning.
Peak Concurrent Usage
Shows the maximum number of licenses used simultaneously. This metric helps determine whether the license pool can support demand during busy periods.
License Denials
Occurs when a user requests a license but none are available. Frequent denials may indicate insufficient capacity or temporary demand spikes.
Idle License Time
Identifies licenses that remain checked out but inactive. These sessions can often be reclaimed to improve license availability.
Session Duration
Measures how long users keep licenses checked out, helping identify inefficient or extended session duration.
While these metrics provide visibility into license activity, deeper analysis often reveals usage behaviors that are not immediately obvious.
How Does Usage Reporting Reveal Hidden License Behavior?
Usage reporting reveals hidden license behavior by analyzing historical license activity, idle sessions, and peak demand patterns over time.
These insights are especially important when examining concurrent license usage, where shared resources can mask inefficiencies.
When license denials occur, organizations often assume that additional licenses are required. However, deeper analysis of usage data frequently reveals patterns that are not immediately visible in raw license server logs.
This is particularly important when analyzing concurrent licensing, where shared usage can obscure inefficient or idle sessions.
Licenses may remain checked out while applications are idle, and short bursts of demand may temporarily exhaust the license pool. These bursts often reflect peak concurrent usage, which may not be visible in average utilization, while extended session duration can indicate licenses being held longer than necessary.
Basic software license usage reporting tools track license checkouts, but deeper analysis reveals how licenses are actually used. These insights are critical for software license optimization, as they expose inefficiencies that are not immediately visible, such as imbalances in license allocations across teams.
By examining true active usage—based on CPU, I/O, and input activity—organizations can distinguish between idle and productive sessions.
LEARN MORE: About our True Active Usage capabilities here.
INSIGHT: License Shortages Are Often Usage Problems
License denials do not always mean organizations need more licenses. In many cases, reporting reveals that licenses are being held longer than necessary or are unevenly distributed across teams.
By addressing these inefficiencies, organizations can often improve license availability without increasing the size of their license pool.
License Usage Reporting Insights at Chiyoda Philippines
Engineering firm Chiyoda Philippines needed greater visibility into how expensive engineering software licenses were used across project teams. Without detailed reporting, it was difficult to determine whether licenses were fully utilized or overprovisioned.
By implementing software license usage reporting with Open iT, Chiyoda Philippines gained reliable visibility into license usage across teams.
This shift enabled the organization to move from manual, request-based decisions to a data-driven approach for license planning and optimization.
Usage reporting helped Chiyoda Philippines move from license management to optimization:
| Area | Before Usage Reporting | After Usage Reporting |
| License Visibility | Limited, manual data collection | Reliable, detailed usage reports |
| Entscheidungsfindung | Based on user requests and estimate | Data-driven business decisions |
| License Allocation | Unclear licensing position | Right-sized licenses based on actual usage |
| License Utilization | Idle and unused licenses not identified | Unused licenses identified and optimized |
| Kostenmanagement | Difficult to control software costs | Significant reduction in software expenditures |
| License Planning | Reactive purchasing | Forecast-driven license planning |
LEARN MORE: The full Chiyoda Philippines case study.
How Can Reporting Reveal Demand Patterns Across Teams and Projects?
Concurrent license reporting reveals demand patterns by showing when, where, and how licenses are consumed across the organization.
Concurrent license usage rarely occurs evenly across users or time periods. Instead, demand typically fluctuates based on project cycles, team workflows, and regional schedules.
By analyzing usage data over time, organizations can identify patterns such as:
Team-Based Demand
Certain departments or engineering teams may consume a larger share of licenses during active project phases.
Project Cycle Spikes
Simulation, modeling, or design workloads often generate demand spikes during specific stages of development.
Time-of-Day Usage
Peak license activity may occur during core working hours, while variations in session duration may indicate differences in workload intensity.
Geographic Distribution
Global organizations may see usage patterns shift across regions depending on time zones and operational schedules.
Understanding these patterns helps organizations see how concurrent license usage shifts across teams and project phases, anticipate demand, and align license availability with operational needs.
These insights play a key role in software license optimization, helping organizations align license supply with actual demand.
Once demand patterns become visible, organizations can begin identifying opportunities to improve license efficiency.
How Can Reporting Identify License Optimization Opportunities?
Software license usage reporting supports software license optimization by revealing inefficiencies in how licenses are allocated and used.
Once organizations understand their usage patterns, they can begin improving how license resources are distributed across teams and projects. This enables more effective license allocation based on real demand.
Software license usage reporting tools support this process by identifying inefficiencies and highlighting areas for optimization.
Common optimization opportunities include:
Reducing Idle Licenses
- Reporting reveals sessions where licenses remain checked out but inactive
- Monitoring session duration helps identify licenses held longer than necessary
- Implementing idle session reclaim policies returns unused licenses to the pool
Right-Sizing License Pools
- Historical usage data reveals overprovisioned or undersized license pools
- Adjusting license counts based on real demand improves efficiency and reduces costs
Balancing Usage Across Teams
- Some teams consistently consume more licenses during specific project phases
- Reporting enables redistribution and policy adjustments to improve license availability
Managing Short Demand Spikes
- Temporary demand spikes can create contention during peak concurrent usage, even when average utilization remains moderate
- User behaviors such as “camping” or “hogging” licenses (holding them longer than necessary or while idle) can artificially inflate peak concurrent usage and increase license denials, even without true demand spikes
- Understanding these spikes helps organizations plan for peak periods without expanding license pools
With these insights, organizations can make targeted adjustments that improve license efficiency while maximizing the value of existing software investments.
INSIGHT: Visibility Often Leads to Optimization
When organizations gain clear visibility into license usage patterns, they often discover that optimization opportunities already exist within their current license environment.
Reporting enables IT teams to make data-driven adjustments that improve license availability without immediately increasing software spending.
Advanced software license usage reporting tools rely on structured datasets to analyze license activity on a scale. In Open iT, these datasets are organized as data types, enabling detailed reporting across users, applications, and time periods.
LEARN MORE: Open iT data types in the documentation portal.
Key Takeaways: Moving from Visibility to Optimization
Concurrent license reporting helps organizations move from basic visibility to data-driven software license optimization.
By understanding usage patterns, organizations gain a clearer view of how shared licenses behave in real environments.
Open iT can support organizations in monitoring and analyzing concurrent license usage through software license usage reporting. LicenseAnalyzer™ provides detailed visibility into license utilization, demand patterns, and optimization opportunities. Schedule a demo or have a representative call you to see how.
Turn concurrent license reporting into real cost savings.
