TSN supports determinism and improves industrial ethernet standards for highly competitive, connected industries of the future.

Netherlands. NXP, a global technological solution provider, has recently announced its integrated Time-Sensitive Networking (TSN) solutions that enhances industrial automation with time sharing communication, advanced security and functionality for industrial Ethernet, and performance. The solution supports the CC-Link IE TSN protocol combining gigabit Ethernet bandwidth on NXP’s LS1028A industrial applications processor, as well as i.MX RT1170 crossover MCU.

Providing scalable solutions to drive next-gen communications, advanced TSN solution introduced by NXP facilitates the industry 4.0 revolution. NXP’s full TSN solution consolidates and unifies Ethernet protocols for enhanced interoperability between a wide variety of industrial networks as part of hyperconnected industrial IoT. To enable the full CC-Link IE TSN communication stack on the LS1028A and i.MX RT110 crossover MCU, NXP collaborated with port industrial automation GmbH. Some of the industrial automation applications enabled by NXP’s TSN solutions include motion control, robotics, machine vision, machine learning, and programmable logic controllers (PLCs).

The NXP LS1028A offers scalable solutions which adds significant capabilities like upgraded 64-bit Arm Cortex-A72 processor cores, a four-point TSN switch, two separate TSN ethernet controllers with support for Gigabit and 2.5 Gigabit Ethernet speeds and integrated 3D GPU. The combination of TSN with a GPU help enable the System on a Chip (SoC) to address human-machine-interface (HMI) and control application.

The Time-Sensitive Networking is a method of industrial networking that enables deterministic control over standard ethernet to boost productivity in specific ways for different industry verticals. Since TSN allows convergence of networks to deliver time-critical traffic, the total cost of ownership can be reduced, and maintenance operations can be simplified.

TechSci research said, “Leveraging Time-Sensitive Networking applications, manufacturers from any sector can essentially boost their processes and maximize productivity. Besides, TSN offers a key solution to merge OT and IT, which is at the centre of data-driven smart manufacturing. Thereby, embedding TSN capabilities, vendors can deliver solutions with enhanced interoperability and reduce downtime associated with maintenance or repair activities. The increasing adoption of Industrial Internet of Things (IIoT) along with the increasing dependence on real-time communication is expected to further propel the growth of Global Time-Sensitive Networking market.”

According to TechSci research report on “Global Time Sensitive Networking Market By Component (Switches, Hubs, Routers & Gateways, Controller & Processors, Isolators & Convertors, Connectors, Communication Interfaces, Others), By Application (Industrial Automation, Power & Energy, Automotive, Transportation, Oil & Gas, Aerospace, Others), By Company, By Region, Forecast & Opportunities, 2026”, the global time sensitive networking market is projected to experience a significant growth rate during the forecast period owing to factors such as increasing interest in Industrial Internet of Things (IIoT), high demand for industrial automation in various segments such as Machine-to-Machine (M2M) communication and motion control applications.

According to TechSci research report on “Global Industrial Services Market By Type (Engineering & Consulting, Operational Improvement & Maintenance and Installation & Commissioning), By Application (Distributed Control System (DCS), Supervisory Control and Data Acquisition (SCADA), Valves & Actuators, Electric Motors & Drives, Manufacturing Execution System (MES) and Others), 6.2.3. By Industry (Chemicals, Aerospace & Défense, Automotive, Pharmaceuticals, Metals & Mining and Others), By Company and By Geography, Forecast & Opportunities, 2026”, the global industrial services market is set to experience a significant growth during the forecast period. Major factors attributing to the growth are increasing demand for operational quality, and maintenance, growing trend of cloud connectivity and need for industrial internet of things for predictive maintenance.