This paper investigates the spatiotemporal distribution of employment expectations in industry (BS-IEME-BAL) between 1992 and 2025, using DG ECFIN Business and Consumer Surveys (BCS) data. The main aim is to identify areas with critical dynamics of the industrial labour market and to assess regional trends in labour fluctuations. The method used is based on Emerging Hot Spot Analysis (EHSA) in GIS, which allows the detection of regions where employment growth or decline has a persistent, oscillating, or emerging trend. The algorithm classifies areas according to the intensity and persistence of variations, allowing for anticipation of the impact of economic transformations on the industrial labour market. The study highlights critical regions where public policies can intervene to mitigate the negative effects or to support sustainable employment growth. Identifying hot spots in the industry contributes to the development of adaptive territorial strategies, based on spatial data, for the efficient management of structural changes in the labour market.