3D desktop printers are becoming concrete production tools, no longer just for makers. In 2025, China exported over 5 million units, with a 331% growth. Technological improvements make them more reliable, easier to use, and suitable for professional sectors like cinema and racing drones. Adoption is growing among professionals, schools, and small businesses, with concrete cases of pr

Comparison of 3D printing technologies for polymers: FDM, SLA, SLS, and MJF. Each technology offers specific advantages in terms of precision, mechanical strength, surface finish, and industrial applications. The evolution of materials is expanding the operational boundaries in advanced sectors such as aerospace, automotive, and medical.

The new cloud-native CAD revolutionizes design for 3D printing, overcoming the limits of traditional systems. Thanks to hybrid modeling, simulation integration, and automation, it enables rapid and precise modifications, reducing times and errors. Ideal for scalable and innovative additive productions.

3D printing in hospitals is becoming an essential resource for personalized medicine, with applications ranging from anatomical models to custom implants. Integration requires adequate technologies, biocompatible materials, standardized workflows, and trained staff. Benefits include shorter waiting times, greater clinical precision, and cost reduction. Leading hospitals

Industrial 3D printing presents often underestimated contractual risks, with clauses that unilaterally shift liability and costs onto clients. Key points include: GPS tracking, geographic limits, training obligations, vague definitions of “failure”, and choice of jurisdiction. It is essential to negotiate fair contracts to avoid legal constraints and ensure safe operations.

The additive manufacturing industry is evolving towards greater maturity, with a focus on specific skills, production, and customer interaction. An increasing number of professionals is changing the job market, making hiring more selective and promoting internal skill development.

Industrial 3D printing with recycled materials offers environmental benefits but requires balancing between quality, cost, and performance. The use of recycled powders, if well managed, can reduce the carbon footprint without compromising mechanical properties, provided that parameters such as sphericity, oxygen content, and particle size distribution are controlled. Studies show up to 98.71% reduction

Investors in additive manufacturing are increasingly focusing on operational efficiency and solid business models, leaving technological speculation behind. Businesses with stable contracts, sustainable margins, and the ability to generate real value in the production chain are being rewarded.

Mass customization is now possible thanks to additive manufacturing, artificial intelligence, and parametric design. These technologies allow for the production of thousands of customized variants while maintaining efficiency and margins, overcoming the limits of traditional production. The integration of software toolchains and automated processes enables the management of variability without au

Bio-based materials for SLS 3D printing, such as PHB and PA11, offer more sustainable solutions but still present technological limitations compared to traditional polymers like PA12. Although they improve stiffness and thermal stability, they suffer from lower ductility, high porosity, and a narrow process window. Research continues to optimize composition and parameters, aiming for a balance between sust

The industry is implementing bio-based sustainable materials on a large scale, integrating responsible agricultural supply chains, technological innovation and circular economy. Projects such as Pragati, Bio.3DGREEN and Virtucycle demonstrate how sustainability and industrial performance can coexist, thanks to strategic partnerships and standardization.

A new innovative method enables the automatic identification of 3D printed parts directly using CAD models, without the need to retrain machine learning models. Developed by KU Leuven, Materialise, and Iristick, the system leverages geometric representations and few-shot learning techniques to classify new parts quickly and efficiently, reducing times and