The aim of this paper is to provide a quantitative examination of the state-of-theart knowledge of the static and fatigue behaviour of additively manufactured (AM) polylactide (PLA). To this end, existing literature was reviewed, and a number of data sets were extracted and re-analysed in terms of static strength and standard S-N curves. As long as objects are 3D-printed flat on the build plate, printing direction appears to have little effect on the mechanical behaviour of AM PLA, therefore stress/strain analysis can be performed effectively by simply treating this polymer as a linear-elastic, homogenous, and isotropic material. If static strength cannot be determined experimentally, a conservative reference value of 22 MPa is suggested as being used in situations of practical interest. As far as fatigue is concerned, findings from post-processing reveal that non-zero mean stresses can be modelled by simply using the maximum stress in the cycle. According to the statistical re-analysis discussed in the paper, a reference fatigue curve for the design of AM PLA subjected to uniaxial cyclic loading (for a probability of survival larger than 90%) can be defined by taking the negative inverse slope equal to 5.5 and the endurance limit (at 2·10 6 cycles to failure) equal to 10% of the material ultimate tensile strength.KEYWORDS additive manufacturing, polylactide (PLA), static assessment, fatigue assessment 1 | INTRODUCTION Additive manufacturing (AM) can be described as a collection of technologies that build three-dimensional (3D) objects by systematically adding layer-upon-layer of material. Once a virtual model is produced using a 3D-modelling software, the AM machine reads the data from the file and lays down successive layers of materials to create the 3D solid. This technology facilitates the ease and rapid production of objects with complex geometries that would be more difficult and labour consuming for traditional subtractive manufacturing processes. Industry 4.0 is anticipated to be Nomenclature: k, negative inverse slope; N f , number of cycles to failure; N Ref , reference number of cycles to failure (N Ref = 2·10 6 cycles to failure); P S , probability of survival; R, stress ratio (R = σ min /σ max ); SD, standard deviation; T σ , scatter ratio of the endurance limit, σ max , for 90% and 10% probabilities of survival; θ R , raster angle; σ max , maximum stress in the fatigue cycle; σ MAX,99% , endurance limit at N Ref cycles to failure in terms of σ max ; σ min , minimum stress in the fatigue cycle; σ UTS , ultimate tensile strength