How Big is the System on Module Market | Industry Trends & Analysis 2025

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Code: MTA9284

Publication Date: Sep 2025

How Big is the System on Module Market?

According to 6Wresearch internal database and industry insights, the Global System on Module (SoM) Market was valued at USD 2.3 Billion in 2024 and is expected to reach USD 4.2 Billion by 2031, growing at a compound annual growth rate of 8.90% during the forecast period (2025-2031).

The market growth is fueled by rising demand for embedded computing in industrial automation, automotive electronics, medical devices, and the growing adoption of IoT technologies across various sectors.

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Key Growth Drivers of the System on Module Market

Increasing adoption of embedded systems in industrial and consumer electronics
Rising demand for compact, power-efficient computing solutions
Growth in IoT and AI-based applications requiring high-performance SoMs
Technological advancements in semiconductor and processor design
Increasing automation across manufacturing and healthcare sectors

System on Module Market Trends

The System on Module Market is growing with major trends such as the integration of AI and machine learning capabilities into SoMs to enable intelligent edge computing. There is rising demand for SoMs with enhanced graphical processing power for use in robotics, autonomous vehicles, and smart medical devices. The market is also seeing a shift toward energy-efficient and low-power designs for battery-operated applications. Another trend is the increasing use of modular designs that allow faster time-to-market and flexibility in product development. Additionally, manufacturers are emphasizing long-term supply and lifecycle support to meet industrial requirements.

Emerging Developments in the System on Module Market

Emerging developments in the System on Module Market include the introduction of SoMs with built-in 5G connectivity for faster data transmission and improved IoT integration. Companies are developing rugged and temperature-resistant SoMs to cater to harsh industrial environments. There is also growing adoption of open-source hardware standards to promote interoperability and reduce development costs. Furthermore, collaborations between SoM manufacturers and cloud service providers are enabling seamless integration of edge and cloud computing for AI-driven applications.