Manufacturing To scale additive manufacturing, end-to-end planning is needed: integrate printing, post-processing and the supply chain, monitor flows and bottlenecks, use specific software and build repeatability on data and standards, not just on machines.
Manufacturing Formnext 2026 and major fairs show mature additive manufacturing: large parts, AI, IoT, and concrete cases in aerospace, healthcare, and defense for productivity and certain ROI.
Manufacturing Industrial 3D printing grows beyond 20% annually, moving from 40 to 250 billion dollars by 2035. Automation, aerospace, and defense adopt it for critical parts, cutting costs and times. Challenges: scalability, regulations, skills.
Manufacturing The lack of skills is slowing the growth of additive manufacturing: universities, industry, and certifications converge to rapidly train 4.0 professionals.
Manufacturing The EU pushes for shared standards for autonomous systems and additive manufacturing: rigorous qualification, traceability, and ISO/AS certifications to accelerate industrial adoption and reduce risks.
Manufacturing Metal additive manufacturing is now essential in aerospace and defense: lightweight alloys, DMLS/EBM/FFF processes and increasingly stringent certifications reduce weight, times and costs, but powder qualification and supply-chain remain the main challenges.
Manufacturing In 2026, 4.0 automation integrates AI, IoT, and flexible robotics for end-to-end production chains. Scalability, traceability, and hybrid skills are essential for competitiveness.
Manufacturing Metal 3D printing is now strategic in aerospace and defense: advanced alloys, certified processes, closed-loop recycling, and military and space use cases are accelerating its global adoption.
Manufacturing Industry 4.0: 3D printing, AI, digital twin, and robotics merge into open ecosystems, transforming production, supply chains, and skills.
Manufacturing In 2026, additive manufacturing exits the pilot phase: aerospace, automotive, data centers, and oil & gas adopt it into true production, but slowly. The winner integrates processes, not just sells machines.
Manufacturing Intelligent software, low-code automation, and cloud optimize business workflows: they eliminate bottlenecks, integrate legacy systems, enable real-time monitoring, and transform measurement data into strategic insights for quality and resilience.
Manufacturing AI transforms engineering by shifting value from execution to strategic judgment. If the growth path for young engineers is not redesigned, there is a risk of a “skills cliff” and a dangerous concentration of responsibility.