Business

Key Insights (AI-assisted): Blending 3GPP-compliant NTN LEO with cellular, Wi‑Fi and GEO under one control plane signals accelerating convergence between terrestrial and satellite IoT. For enterprises, this reduces architectural fragmentation and makes “always‑on” global coverage a design-time assumption rather than a niche add‑on, which may shift procurement from siloed satellite contracts to platform-based connectivity buying. […]

Bare metal cloud is a computing service that offers dedicated hardware and unvirtualized servers to clients. Standard cloud servers are virtualized i.e. multiple clients share the same base hardware. For example, a server with a 128-core Intel Xeon CPU could be virtualized into 64 dual-core servers (as Virtual Machines or VMs) for client use. Bare

Key Insights (AI-assisted): By pushing battery-free sensing into dual-band, longer-range operation at lower unit cost, this move signals that ambient IoT is shifting from pilots to infrastructure-scale deployments. The combination of dense, low-cost tags and a cloud AI layer positions sensing data as a shared “utility” for multiple applications, not just single use cases like

Key Insights (AI-assisted): This launch signals how 5G modules are evolving from pure connectivity components into integrated compute-and-connect platforms. Support for 24 TOPS, Wi‑Fi 7 and 10 Gbps Ethernet positions CPE and FWA gateways as edge-processing hubs, reducing dependence on centralized cloud and backhaul. Pin compatibility with previous Quectel generations suggests OEMs will prioritize incremental

Key Insights (AI-assisted): HaLowLink 2’s general availability signals that Wi-Fi HaLow is moving from chipset sampling to deployable infrastructure for real-world IoT networks. By offering a ready-made router/AP/extender, Morse Micro reduces integration friction, letting OEMs and integrators validate sub-GHz Wi-Fi at scale without custom gateway designs. The OpenWrt-based stack also invites ecosystem innovation, enabling tailored

Key Insights (AI-assisted): By tightly coupling connectivity hardware with an AI-centric industrial platform, this partnership accelerates convergence between operational technology and advanced edge compute. It signals a shift from simple sensor networks toward autonomous, “physical agent” systems that can reconfigure connectivity and behavior in real time based on SLAs. For IoT vendors, embedded support for

Key Insights (AI-assisted): Nordic’s move effectively collapses the stack between ultra‑low‑power connectivity silicon, ML tooling, and lifecycle cloud services. By embedding an NPU and tinyML models into a mainstream wireless SoC, edge AI shifts from niche add‑on to default capability in tracking, wearables, and industrial sensing, which will pressure rivals to integrate similar accelerators. The

Key Insights (AI-assisted): By tightly coupling NXP’s i.MX 9 compute with Wi‑Fi 6 and multi-protocol radios in an entry-level form factor, Quectel is pushing advanced connectivity deeper into cost-sensitive IoT segments. This convergence lowers BOM and design complexity, making Thread/Matter and rich multimedia viable in traditionally low-margin devices. It also positions Wi‑Fi 6 as a

Key Insights (AI-assisted): Sony’s positioning of eRedCap as the anchor for long-life 5G IoT signals that mid-tier cellular performance is becoming strategically more important than ultra-low-power or full 5G NR. This frames a likely consolidation of today’s fragmented LTE Cat-x and LPWA landscape into a smaller set of 5G-based profiles, simplifying operator roadmaps and module

Key Insights (AI-assisted): This move signals a convergence between secure-by-design IoT software stacks and US-based semiconductor manufacturing for mass-market smart home deployments. By anchoring trust in silicon while abstracting complexity for developers, the partnership could accelerate adoption of enterprise-grade security in consumer devices without adding cost or friction. The focus on edge data integrity and