Global Leading Market Research Publisher QYResearch announces the release of its latest report “ARM System on Module (SoM) – Global Market Share and Ranking, Overall Sales and Demand Forecast 2026-2032”.
In today’s rapidly evolving embedded systems landscape, developers and OEMs are under increasing pressure to shorten product development cycles while maintaining high performance, scalability, and energy efficiency. ARM System on Module (SoM) solutions address these challenges by offering pre-integrated, standardized computing platforms that significantly reduce design complexity and time-to-market. This report delivers a comprehensive analysis of the global ARM System on Module (SoM) market, covering market size, market share, demand dynamics, technology evolution, and future growth opportunities based on historical data (2021–2025) and forecasts (2026–2032).
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The global ARM System on Module (SoM) market was valued at approximately US$ 1,970 million in 2025 and is projected to reach US$ 4,124 million by 2032, registering a CAGR of 11.3% during the forecast period. This strong growth trajectory is fueled by the rapid expansion of IoT ecosystems, increasing adoption of edge computing, and the growing need for compact, high-performance embedded computing platforms across industries.
Market Overview: Architecture and Value Proposition of ARM SoMs
ARM System on Module (SoM) refers to a compact embedded computing solution that integrates an ARM-based processor, memory, storage, and multiple I/O interfaces onto a single PCB. These modules provide standardized interfaces and form factors, enabling seamless integration into end systems with minimal engineering effort.
The modular design approach allows developers to focus on application-specific carrier board design, reducing overall development costs and accelerating product deployment. In 2024, global production of ARM SoMs reached approximately 11,039.6 thousand units, with an average selling price of around US$ 165.6 per unit, reflecting both scalability and cost efficiency.
Over the past six months, advancements in heterogeneous computing, AI acceleration, and low-power design have further enhanced the capabilities of ARM SoMs, making them suitable for increasingly complex workloads at the edge.
Key Growth Drivers: IoT, Edge AI, and Industrial Digitalization
The proliferation of Internet of Things (IoT) devices remains the primary growth driver for the ARM SoM market. As industries transition toward smart and connected systems, demand for embedded platforms capable of real-time data processing and communication continues to rise.
Additionally, the growing adoption of software-defined radio (SDR) and edge AI applications is accelerating the need for flexible and high-performance SoM solutions. Industries such as healthcare, automotive, and industrial automation are increasingly relying on SoMs to enable intelligent decision-making at the device level.
Recent policy initiatives in the United States, Europe, and Asia aimed at strengthening semiconductor supply chains and promoting domestic manufacturing have also positively influenced market expansion.
Competitive Landscape: Fragmentation with Emerging Innovators
The ARM SoM market is characterized by a relatively fragmented competitive landscape, with numerous global and regional players competing across different application niches. Key companies include Advantech, Microchip Technology, Digi International, Kontron, Avnet Embedded (MSC Technologies), PHYTEC, Congatec GmbH, ADLink, Variscite, Axiomtek, Toradex, SECO, CompuLab, and others.
In 2024, the top five players collectively accounted for approximately 20.64% of total market revenue, indicating a relatively low concentration compared to other semiconductor segments. This fragmentation creates opportunities for specialized vendors to differentiate through customization, software support, and vertical integration.
Emerging players are increasingly focusing on niche markets such as medical devices, robotics, and defense applications, where tailored solutions and long lifecycle support are critical.
Product Segmentation: Standardization and Interoperability
ARM SoMs are categorized based on industry-standard form factors, including Qseven, SMARC, and COM Express modules.
- Qseven Standard: Widely used in compact and low-power applications, offering cost-effective solutions for basic embedded systems.
- SMARC Standard: Optimized for mobile and edge computing applications, with enhanced multimedia and connectivity capabilities.
- COM Express Standard: Designed for high-performance computing applications, supporting advanced processing and scalability.
The increasing adoption of standardized form factors has improved interoperability and ecosystem development, enabling faster integration and broader market acceptance.
Application Analysis: Cross-Industry Adoption
ARM SoMs are deployed across a diverse range of industries:
- Industrial Automation:
In discrete manufacturing environments, SoMs enable machine vision, robotics control, and predictive maintenance. In process industries, they support monitoring, control systems, and data acquisition, though adoption is relatively slower due to legacy infrastructure. - Automotive & Transportation:
SoMs are used in advanced driver-assistance systems (ADAS), infotainment systems, and autonomous vehicle platforms, where reliability and real-time processing are essential. - Medical:
Healthcare applications, including diagnostic imaging, patient monitoring, and portable medical devices, benefit from the compact size and low power consumption of SoMs. - Defense & Aerospace:
Ruggedized SoMs are deployed in mission-critical systems requiring high reliability and long lifecycle support. - Communications:
With the rise of 5G and edge networking, SoMs play a crucial role in base stations, gateways, and network infrastructure.
Technical Challenges and Innovation Pathways
Despite strong growth prospects, the ARM SoM market faces several technical challenges:
- Thermal management in high-performance compact modules
- Ensuring long-term supply and lifecycle support
- Balancing power efficiency with increasing computational demands
- Enhancing security for connected and IoT-enabled devices
To address these challenges, manufacturers are investing in advanced semiconductor nodes, AI accelerators, and secure boot technologies. The integration of heterogeneous computing architectures is also emerging as a key trend.
Industry Segmentation Insight: Discrete vs Process Industries
Adoption patterns vary significantly between discrete and process industries:
- Discrete Manufacturing:
High adoption driven by robotics, automation, and smart factory initiatives requiring real-time processing and flexibility. - Process Industries:
Slower adoption due to legacy systems, but increasing interest in digital transformation and industrial IoT is driving gradual uptake.
This divergence highlights the need for customized SoM solutions tailored to specific industrial requirements.
Future Outlook: Strategic Opportunities and Market Evolution
The ARM System on Module market is expected to maintain robust growth, supported by continuous technological innovation and expanding application scenarios. The convergence of AI, IoT, and edge computing will further enhance the role of SoMs as foundational building blocks in modern embedded systems.
From an industry perspective, vendors that can offer comprehensive solutions—including hardware, software, and ecosystem support—will gain a competitive advantage. Additionally, regional diversification and supply chain resilience will become critical factors in sustaining long-term growth.
The ARM System on Module (SoM) market is segmented as below:
Advantech
Microchip Technology
Digi International
Kontron
Avnet Embedded (MSC Technologies)
PHYTEC
Congatec GmbH
ADLink
Variscite
Axiomtek
Toradex
SECO
CompuLab
Mistral
Emcraft Systems
NetBurner
SoMLabs
Microprogram Information
Segment by Type
Qseven Standard
SMARC Standard
COMExpress Standard
Others
Segment by Application
Industrial Automation
Automotive & Transport
Medical
Defense & Aerospace
Communications
Others
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