IoT Landscape 2026
The global IoT device count has surpassed 18 billion in 2025, with Industrial IoT (IIoT) accounting for 35% of deployments. 5G connectivity is enabling new edge computing use cases with sub-1ms latency. The convergence of AI, 5G, and edge computing is creating 'intelligent edge' infrastructure capable of real-time decision-making without cloud round-trips.
Edge AI & Inference
Edge AI enables ML inference at the device level, reducing latency, bandwidth costs, and privacy risks. TensorFlow Lite, ONNX Runtime, and NVIDIA Jetson platforms are the dominant edge AI deployment targets. Model compression techniques — quantisation, pruning, knowledge distillation — are enabling transformer-class models on microcontrollers. Edge AI is critical for autonomous vehicles, industrial inspection, and real-time medical diagnostics.
IoT Security Frameworks
IoT security challenges include resource-constrained devices, heterogeneous protocols, and long deployment lifecycles. Key frameworks: NIST SP 800-213 (IoT Cybersecurity), ETSI EN 303 645 (Consumer IoT Security), and IEC 62443 (Industrial Automation). Security requirements: device identity (X.509 certificates), secure boot, over-the-air (OTA) updates, and network segmentation.
Smart Cities & Geospatial
Smart city deployments leverage IoT, GIS, and AI for urban management. Key applications: intelligent traffic management, smart energy grids, environmental monitoring, public safety, and citizen services. Digital twin technology — creating virtual replicas of physical city infrastructure — enables simulation-based urban planning. Geospatial information technology (GIT) integrates satellite imagery, LiDAR, and sensor data for spatial analytics.