“Increased Adoption of 3D Imaging and Digital Integration”
- One prominent trend in the global fog computing market is the growing integration of artificial intelligence (AI) and machine learning at the edge, particularly within Industrial IoT (IIoT) and real-time data ecosystems
- These advancements enhance the performance of edge networks by enabling instant, localized decision-making, reducing dependency on centralized cloud systems, and improving response times for mission-critical operations
- For instance, In May 2023, Pegasystems Inc. launched an AI-powered Pega Process Mining system, integrated into its platform to streamline enterprise operations using edge and fog computing concepts. The system allows real-time analysis and optimization of workflows, highlighting a shift toward embedded intelligence at the edge
- Similarly, Cisco has made continuous investments in fog computing infrastructure through its Cisco IOx platform, which enables hosting of applications directly on network edge devices—blending fog computing and edge AI to support faster analytics in sectors such as energy, transportation, and manufacturing
- This trend is driving the development of intelligent fog nodes capable of running complex algorithms locally, reducing latency, enhancing privacy, and enabling scalability
