Kaplan–Meier Survival Curve (KM Curve)

A Kaplan–Meier (KM) survival curve is a statistical method used to estimate the probability that an entity remains active over time based on time-to-event data. In the context of company analysis, it measures the likelihood that a company continues to operate beyond a given number of years since its incorporation.

The curve is typically displayed as a step-shaped line, where the x-axis represents time (e.g. years since founding) and the y-axis shows the probability of survival, starting at 100% and decreasing as companies exit the market. It is a non-parametric method, meaning it does not assume a specific distribution of lifespans, and it accounts for incomplete observations (e.g. companies that are still active at the time of analysis).

Within North Data Company Intelligence, the Kaplan–Meier curve is used to analyze company lifespan, defined as the period from incorporation until an exit event such as dissolution, insolvency, liquidation, or merger. The curve provides a structured view of how long companies typically remain active and how survival probabilities evolve over time.

From an analytical perspective, the shape of the curve reveals important lifecycle dynamics:

• A steep decline indicates shorter company lifespans and higher early exit rates, suggesting higher structural risk or competitive pressure in the industry.
• A gradual decline indicates longer lifespans and greater stability, reflecting more resilient business environments.

By comparing curves across industries, regions, legal forms, or cohorts, the Kaplan–Meier approach enables the identification of median survival times, high-risk lifecycle phases, and structural differences in market stability, making it a key tool for lifecycle analysis and risk assessment.