| Product Code: ETC6192481 | Publication Date: Sep 2024 | Updated Date: May 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Shubham Deep | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
The System on Module market in Australia is growing steadily, particularly in embedded systems used in medical devices, transportation, and defense. SoMs offer a flexible and cost-effective approach to designing custom embedded solutions without building from scratch. The rise in smart device applications is encouraging companies to adopt SoMs for rapid product development.
The system on module (SoM) market in Australia is gaining momentum as OEMs look for compact, scalable, and cost-effective computing solutions for embedded systems. Major trends include increased use in medical devices, smart retail systems, and industrial robotics. Australian developers are opting for SoMs due to their reduced time-to-market, modularity, and ability to support custom applications using Linux and Android-based platforms.
Manufacturers face difficulty in customizing modules for varied industrial applications, which increases cost and time-to-market. Additionally, the rapid pace of innovation in edge computing outpaces the ability of vendors to standardize platforms.
With the rise in edge computing and IoT applications, Australias System on Module (SoM) market offers attractive investment avenues. SoM-based solutions are vital in medical devices, robotics, and industrial machinery. Startups and established players in electronics design services can benefit from expanding their portfolio to include modular, scalable computing systems tailored for specific industry applications.
Government policies on digital infrastructure, edge computing, and IoT adoption indirectly bolster the system on module (SoM) market. Programs like Smart Cities and Suburbs Program and Modern Manufacturing Strategy create demand for compact, modular systems. These policies promote embedded systems in areas such as transportation, environmental monitoring, and smart agriculture, which rely on SoM platforms.
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
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