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The Advanced Manufacturing Technology Opportunity Engine provides profiles of innovations related to near-infrared in-situ quality assurance technologies enabling real-time monitoring and defect detection during metal additive manufacturing; AI-driven multi-sensor monitoring systems integrating process data to improve additive manufacturing quality...

The Advanced Manufacturing Technology Opportunity Engine provides profiles of innovations related to autonomous mobile robots (AMRs) enabling pallet and trolley transportation across dynamic intralogistics environments; compact 6-axis robotic systems supporting modular and flexible laboratory automation; autonomous agricultural unmanned ground vehi...

The additive manufacturing sector has seen significant growth in recent years owing to growing demand for customized products and complex geometries in various sectors, including automotive, defense, aerospace, consumer electronics, manufacturing, and energy. AI has a wide range of applications in additive manufacturing at various levels and is a k...

Autonomous robotics technology has been undergoing a major technological growth in the recent years. This novel technology is playing a crucial role in the transformation of many key industries like automotive, aerospace, warehouse, and logistics. With the advent of Industry 4.0 and smart factories, all industries across the spectrum are adopting a...

This industry scorecard for the global mining industry provides an overview of key trends and tectonic shifts that are expected to take place in the mining market. Key growth opportunities are also explored. The various mining segments have been considered (base metals, energy minerals, and precious metals). An outlined analysis of the next game-ch...

This study explores potential growth opportunities for robots in the agriculture industry. Driven by advancements in AI/ML, machine vision, and autonomous navigation, agricultural robots are executing tasks such as planting, weeding, harvesting, spraying, and crop monitoring with greater precision and efficiency. Designed for workforce augmentation...

Collaborative robotics is emerging as a key force in the automation landscape, moving from industrial environments into homes and urban ecosystems. By integrating mechanical compliance, AI-driven perception, and human-aware intelligence, collaborative robots (cobots) are changing the way cities, homes, and institutions provide services in a safe, e...

This study examines the emerging landscape of neuromorphic computing and its role in enabling low-power, real-time, brain-inspired intelligence across edge and autonomous systems. It reviews advancements in spiking neural networks, memristor-based computing in memory, event-driven vision sensors, and hybrid neuromorphic and conventional architectur...

This study examines potential growth opportunities for the collaborative robot (cobot) market across various global industries. Cobots are used in applications wherein they complement the work carried out by human workers rather than replace them. The growing shift toward flexible automation in multiple industries is driving widespread adoption of ...