A review of additive manufacturing in 2025 highlights advancements in materials, process optimization, and the integration of AI and machine learning, alongside a growing focus on sustainability and circular economy principles.
The year 2025 saw significant progress in additive manufacturing (AM), with a notable expansion in material capabilities. This included the development and wider adoption of advanced polymers, ceramics, and metal alloys, enabling the production of parts with enhanced mechanical properties, thermal resistance, and biocompatibility. Researchers and industry players focused on refining existing processes and exploring novel methods to improve build speed, accuracy, and surface finish, making AM more competitive for serial production.
Artificial intelligence (AI) and machine learning (ML) played an increasingly crucial role in 2025's AM landscape. These technologies were leveraged for process monitoring, defect detection, real-time parameter optimization, and predictive maintenance, leading to more reliable and consistent part production. AI-driven design tools also emerged, assisting engineers in creating optimized, topology-optimized, and lightweight structures previously impossible with traditional manufacturing methods.
Sustainability and the circular economy became central themes in AM development during 2025. Efforts were directed towards reducing material waste through optimized design and printing strategies, as well as developing recyclable and biodegradable materials suitable for 3D printing. Furthermore, the potential of AM for on-demand manufacturing and localized production was explored to minimize transportation-related emissions and resource consumption.
University research in 2025 continued to drive innovation across various AM applications. Studies focused on areas such as in-situ monitoring for quality assurance, the development of multi-material printing capabilities, and the exploration of AM for specialized sectors like aerospace, healthcare, and energy. The integration of AM into complex supply chains and its role in enabling distributed manufacturing and repair were also key research areas.
The 2025 review underscores AM's maturation, moving beyond prototyping to production. The integration of AI/ML signifies a shift towards intelligent, automated manufacturing. The emphasis on advanced materials and sustainability aligns with broader industry demands for high-performance, resource-efficient solutions, critical for sectors like aerospace seeking lighter, more complex components and potentially for in-situ resource utilization in space applications.
Edited by the news editor with AI from the original report — please refer to the original source.