The US Navy introduces a “material maturity” framework to certify 3D printed materials, reducing logistics lead times by 70% and integrating additive parts into the supply chain without compromising safety or reliability.

The implementation of AI in production process control requires a systemic approach that goes beyond the optimization of individual machines. To achieve significant results in additive manufacturing, it is necessary to integrate data, automation, and open standards throughout the entire production cycle. Only then can AI become the “digital nervous system” of the factory, ensuring quality,

The additive manufacturing sector is consolidating on vertical niches such as aerospace, medical, and foundry, abandoning the logic of horizontal coverage. The companies that survive focus on specialization, integration into client workflows, and reliable solutions, not just innovation. Success now depends on the ability to generate concrete economies and ensure uptime and repeatability.

The 3D market is splitting: on one side entry-level systems under $2,500 are growing over 30%, on the other high-end industrial platforms are struggling. Three sectors are driving demand: aerospace, defense and healthcare. China records strong increases in metal PBF. Business models are differentiating: providers are targeting specific segments to stay competitive. Future growth

In aerospace additive manufacturing, in-process inspection with calibrated measurements overcomes the limits of passive monitoring. Technologies such as structured light metrology enable objective, traceable, and comparable controls between machines, reducing qualification costs and times.

Many additive startups fail because they focus on technology without building a sustainable business. A solid economic model, paying customers, and strategic patience are needed.

Additive Manufacturing (AM) succeeds in production only when applied to specific cases with high functional requirements, not to replace traditional methods, but to solve needs that these cannot satisfy. Success depends on consolidated designs, controlled materials, fixed parameters, and disciplined post-processing. Sectors such as aerospace, medical, and tooling exploit the

3D printing improves with two patented innovations: controlled vibrations and smart sensors for precise powder distribution. These systems reduce defects, waste, and post-production rework, increasing quality and repeatability without changing materials or machinery.

Multi-laser systems with 32 units of 500W each represent the state of the art in metal 3D printing, offering build volumes of up to 3862 liters. While increasing productivity and automation, these plants present thermal limits, powder management issues, and geometric constraints that affect actual production feasibility. Integration with MES and automated systems enables scalability

Integrated metrology in 3D scanners enables real-time quality control, reducing time and costs. Thanks to advanced sensors, geometric algorithms, and connectivity, these systems process dimensional data directly during scanning, integrating with metrology platforms and production processes. Despite some technological limitations, they represent a breakthrough for high-

Technical polyamides offer excellent performance, but their printing complexity often makes them impractical. SP4 CF15 from 3DBooster was created to solve this paradox: 8.5 GPa rigidity, thermal resistance up to 180°C, and open-air printability without advanced setups.

Additive manufacturing of high-temperature resistant ceramics requires careful selection of the process: melt-infiltration, CVI, or PIP, each with advantages and limitations in terms of cost, speed, and complexity. Cellular structures reduce weight and material but can compromise structural integrity. Advanced materials such as SiC and multi-oxide composites offer high performance but at