Technological Obsolescence Rate measures the speed at which technology becomes outdated, impacting operational efficiency and financial health.
A high rate can lead to increased costs and reduced ROI, as organizations struggle to maintain competitive offerings.
Conversely, a low rate indicates effective technology management, enabling firms to allocate resources toward innovation and growth.
This KPI influences strategic alignment with market demands and can enhance forecasting accuracy.
By tracking this metric, executives can make data-driven decisions that improve overall business outcomes.
Technological Obsolescence Rate is the lowest ranked member of the IT Service Management KPI group, priority 44 of 45, and unlike most of its neighbors it sits on the growth axis rather than internal process. That placement is telling: the group is dominated by real time service metrics like Incident Resolution Time, Mean Time to Restore Service (MTRS), and Service Availability, while this metric takes the long view of whether the underlying estate is quietly aging toward risk.
Its value shows up through its links to the reliability metrics rather than on its own. Aging technology tends to erode Mean Time Between Failures (MTBF) and push up Change Failure Rate, because older components are harder to patch and more brittle under change. So while obsolescence rate rarely triggers a daily alert, a rising trend is an upstream explanation for reliability metrics that start slipping. Teams get the most from it by reading it as a leading condition behind the group's availability and failure measures.
The formula divides obsolete technology items by the total number of technology items, then multiplies by one hundred. The soft spot is the word obsolete: it needs a written rule to be repeatable. Anchoring it to vendor end of support or end of life dates gives a defensible line, whereas leaving it to judgment makes the metric drift as different assessors apply different thresholds.
Completeness of the asset inventory sets the ceiling on how trustworthy this number can be. If the denominator misses shadow hardware or unmanaged software, the rate looks better than reality. Customers should also pick a cadence that matches how fast their estate changes, since a quarterly snapshot can lag real exposure in a fast moving environment. Read next to Change Failure Rate, it helps separate obsolescence driven failures from process driven ones.
Many organizations underestimate the impact of technological obsolescence, leading to costly inefficiencies and missed opportunities.
Addressing technological obsolescence requires a proactive approach to investment and employee engagement.
We have 1 relevant benchmark in our benchmarks database.
Source: Subscribers only
Source Excerpt: Subscribers only
Additional Comments: Subscribers only
| Value | Unit | Type | Company Size | Time Period | Population | Industry | Geography | Sample Size |
| Subscribers only | percent | average; percentile slice (bottom 25%) | year | public firms in same SIC3 industry |
Browse the Top Benchmarked KPIs in IT Service Management
A single external reference informs this metric, and it comes from a different world than day to day IT operations. Song Ma's NBER working paper approaches technological obsolescence as an economic property of public firms, comparing companies within the same three digit SIC industry and reporting an industry average alongside a bottom quartile slice. Its unit of analysis is the firm and its context is capital markets research, not an IT asset register.
That gap matters for how customers should use it. The KPI here counts obsolete technology items against the total in an IT estate, an operational ratio owned by infrastructure teams. The NBER measure is built from firm level financial and patent style data, so it will not line up with an internal asset count either in definition or in denominator. Treat it as background on how researchers frame obsolescence across firms, not as a benchmark to hold your infrastructure ratio against.
The IT Service Management OKR set does not name this metric in its headline key results, which lean on Service Availability, MTBF, and SLA Compliance under a service continuity objective. Technological Obsolescence Rate belongs there as a supporting driver: reducing the obsolete share of the estate is a concrete way to defend the availability and MTBF targets those key results chase, since fewer aging components mean fewer age related failures.
It has a natural place in planning and budgeting conversations too. Because the metric quantifies accumulating risk, it gives refresh and modernization proposals an evidence base, tying capital requests to the reliability outcomes the group already tracks. Framed that way, an obsolescence target works as an enabling objective that feeds the more visible availability and change failure goals rather than competing with them.
This KPI is associated with the following categories and industries in our KPI database:
KPI Depot takes you from KPI intelligence to finished deliverable. Consultants, strategy teams, FP&A leaders, and analytics teams use it to answer the two hardest questions in performance management, what to measure and what the target should be, and then to produce the scorecard itself.
The difference is intelligence, not just data. Anyone can list metrics. Every KPI in KPI Depot carries 13 practical attributes, from formula and measurement approach to diagnostic questions, risk warnings, and Balanced Scorecard perspective, across 15 corporate functions and 153 industries. And every target you set is grounded in our database of 34,304 source-attributed benchmarks, each detailing metric value, company size, time period, industry, geography, sample size, and source. Benchmark data at this scale is otherwise the domain of research services costing thousands to hundreds of thousands of dollars per year.
When your metrics are selected, KPI Depot finishes the job: export an interactive Strategy Map, a Balanced Scorecard with formulas and tracking columns, or a CSV KPI pack, and go from research to working deliverable in hours instead of weeks.
Formerly the Flevy KPI Library, KPI Depot is trusted by teams at organizations including Accenture, EY, IBM, PepsiCo, Samsung, and Vodafone.
Got a question? Email us at [email protected].
A good Technological Obsolescence Rate typically falls between 0-5%. This range indicates that a company is effectively managing its technology and staying competitive in the market.
The Technological Obsolescence Rate can be calculated by dividing the number of obsolete technologies by the total number of technologies in use. This metric provides insight into how quickly technology is becoming outdated within the organization.
Tracking the Technological Obsolescence Rate is crucial for maintaining operational efficiency and financial health. It helps organizations identify areas for improvement and make informed decisions regarding technology investments.
This KPI should be reviewed at least quarterly to ensure that organizations remain aware of their technology landscape. Regular assessments allow for timely adjustments and strategic planning.
A high Technological Obsolescence Rate can lead to increased costs, decreased operational efficiency, and lower customer satisfaction. Organizations may struggle to compete effectively if they do not address outdated technologies.
Yes, a high obsolescence rate can negatively affect employee productivity. Outdated technologies often lead to inefficiencies and frustration, hindering employees' ability to perform their tasks effectively.
Each KPI in our knowledge base includes 13 attributes.
A clear explanation of what the KPI measures
The typical business insights we expect to gain through the tracking of this KPI
An outline of the approach or process followed to measure this KPI
The standard formula organizations use to calculate this KPI
Insights into how the KPI tends to evolve over time and what trends could indicate positive or negative performance shifts
Questions to ask to better understand your current position is for the KPI and how it can improve
Practical, actionable tips for improving the KPI, which might involve operational changes, strategic shifts, or tactical actions
Recommended charts or graphs that best represent the trends and patterns around the KPI for more effective reporting and decision-making
Potential risks or warnings signs that could indicate underlying issues that require immediate attention
Suggested tools, technologies, and software that can help in tracking and analyzing the KPI more effectively
How the KPI can be integrated with other business systems and processes for holistic strategic performance management
Explanation of how changes in the KPI can impact other KPIs and what kind of changes can be expected
NEW Mapping to a Balanced Scorecard perspective (financial, customer, internal process, learning & growth)