Once maturity ratings were assigned, technology combinations were systematically constructed and then filtered to retain only those already demonstrating cross-industry application – an indicator of both current scaling activity and convergence potential. A recurring pattern emerged wherein the most effective combinations typically span multiple stages of maturity, reflecting a dynamic straddling innovation and deployment. Lower-maturity technologies often require significant development and integration effort, while higher- maturity technologies – though stable and easily deployable – rarely deliver breakthrough value unless combined with novel, experimental components.Linkages across domains The analysis revealed recurring interaction patterns among technologies as often complementary, inverse or mirrored in nature appearing across multiple domains. This is not coincidental; rather, it reflects the way different industries emphasize distinct facets of shared technological shifts, shaped by their specific operational challenges and strategic opportunities. The ensuing structure enables both a domain-specific and system-level understanding of how convergence is reshaping innovation across sectors. 2.1 AI domain AI is becoming more powerful and more versatile. As a general-purpose domain, it presents a dynamic breadth of subcomponents in a layered maturity landscape that makes it a unique interlocutor for integrating, enhancing and embedding across all other domains. At the cutting edge, agentic AI is enabling autonomous decision-making and collaboration between intelligent systems, representing the genesis stage of maturity where innovation first takes form. Custom-built technologies like edge AI deliver faster on-device processing for real-time applications, while federated learning improves data privacy through distributed model training, and reinforcement learning enhances adaptability in complex environments. These innovative components don’t operate in isolation but integrate with well-established product-stage AI elements such as neural networks and predictive analytics, which have matured to provide the stability necessary for large-scale deployments. Finally, technologies like computer vision have approached commodity status, with standardized implementations now powering critical applications from factory monitoring to autonomous vehicles and medical imaging. Agentic AI is enabling autonomous decision-making and collaboration between intelligent systems, representing the genesis stage of maturity where innovation first takes form. Technology Convergence Report 16

Technology Convergence Report 2025