According to official data and SiiLA, between the first quarter of 2019 and 2026, absorption increased when new square meters were delivered and moderated when that space was depleted, without aligning with the immediate performance of the economy or its main variables (private consumption, manufacturing exports, and gross fixed investment). The market, therefore, does not adjust immediately to economic activity; instead, it responds through its own operating conditions, with adjustments that first appear in absorption and, with a lag, in prices.

The explanation is structural, as absorption is not a pure measure of demand; it is the portion that actually materializes within available space.

With a vacancy rate around 5%, even during periods of stronger economic activity, absorption faces limits to expansion; when new supply enters, that constraint eases, and space is absorbed—with more or less friction. The industrial market thus operates with lags that mediate the transmission of the economic cycle to absorption: supply is delivered based on past expectations, and absorption adjusts on that basis rather than on the contemporaneous growth data.

This has clear implications. The risk lies not only in economic slowdown, but in the synchronization between what is built and what the market can absorb.

Between 2019 and 2026, the competitive dynamics among developers—the volume of inventory delivered and the level of vacancy that accumulates—predominantly explain the evolution of absorption. This pattern is observed at the national level, with differences across markets and segments. The sector, therefore, cannot be read solely through the economic cycle; it requires understanding the internal conditions that govern its behavior.

In that sense, the industrial market is a system that responds to its own inventory, in which space not only reacts to the economy but also shapes it, as the platform on which activity takes place and, therefore, a variable that influences costs, productivity, and competitiveness.

Seen this way, it ceases to be merely an outcome of growth and becomes a structural variable that defines how that growth materializes across territory. Understanding this dynamic requires observing how space moves in real time. That is the logic we follow at SiiLA Market Analytics. More information at contacto@siila.com.mx.

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Methodological note: Linear regressions were estimated using quarterly data, incorporating macroeconomic variables (GDP, industrial GDP, manufacturing exports, gross fixed investment, and private consumption) and industrial real estate variables (net and gross absorption, new inventory, and vacancy rate). Macroeconomic series are used in seasonally adjusted form when available, and in quarterly variations when not. One-quarter lags were included to evaluate delayed effects. Real estate variables, expressed in square meters, are constructed on a consistent inventory over time, using homogeneous measurement criteria throughout the series. Absorption and new inventory are analyzed relative to that inventory, allowing their dynamics to be interpreted as flows within a stock system and avoiding distortions from changes in the measurement universe. The results are descriptive in nature and compare the relative explanatory power of variables based on their ability to account for observed variation in absorption, without inferring causality. Under this approach, the evidence suggests that, in the short term, absorption is primarily associated with internal market conditions, while the influence of economic activity tends to emerge gradually through such lags.