- Fog computing is a decentralized computing infrastructure in which data, computing, storage, and applications are distributed in the most logical, efficient place between the data source and the cloud
- It is a critical enabler for applications that require real-time processing and low-latency decision-making, especially in industrial IoT, autonomous vehicles, and smart city projects
- The demand for fog computing is significantly driven by the exponential growth of connected devices and the need to process massive amounts of data closer to the source. With increasing concerns around bandwidth limitations, latency issues, and data security, fog computing offers a practical solution by bringing intelligence to the network edge
- The North America region stands out as one of the dominant markets for fog computing, supported by a strong presence of tech giants, robust R&D activity, and early adoption of edge and IoT solutions. The region continues to lead innovations in real-time data processing across sectors such as healthcare, automotive, and manufacturing
- For instance, companies like Cisco, IBM, and Dell Technologies have made significant investments in edge and fog architectures, offering platforms that integrate seamlessly with IoT devices and AI-driven applications
- Globally, fog computing ranks as a key technological pillar supporting edge intelligence, especially in mission-critical systems where milliseconds of delay can impact safety or performance. It plays a pivotal role in advancing autonomous systems, industrial automation, and next-generation communication networks like 5G
