Embedded General Processing Units (GPU) Module Market Global Report 2026

The embedded general processing units (GPU) module market size has grown rapidly in recent years. It will grow from $3.75 billion in 2025 to $4.2 billion in 2026 at a compound annual growth rate (CAGR) of 12.2%. The growth during the historic period can be attributed to increasing demand for graphics acceleration in embedded devices, rising adoption of parallel computing architectures, growing deployment of compact computing modules, increasing demand for high-quality image rendering, and expanding use of embedded systems across industrial applications.

The embedded general processing units (GPU) module market size is expected to see rapid growth in the next few years. It will grow to $6.56 billion in 2030 at a compound annual growth rate (CAGR) of 11.8%. The growth during the forecast period can be attributed to increasing demand for high-performance edge computing, rising need for energy-efficient embedded processing, growing deployment of compute-intensive workloads, increasing demand for compact AI-capable computing modules, and rising adoption of advanced embedded graphics technologies. Major trends during the forecast period include increasing adoption of high-performance embedded GPU modules, rising demand for compact and low-power GPU modules, growing integration of advanced graphics processing capabilities, increasing demand for enhanced parallel computing performance, and rising adoption of ruggedized GPU modules for demanding operating environments.

The growing deployment of robotics and automation systems is expected to propel the growth of the embedded general processing units (GPU) module market going forward. Robotics and automation systems refer to programmable machines and intelligent control systems designed to perform industrial and commercial tasks with minimal human intervention. The deployment of robotics and automation systems is increasing as manufacturers invest in intelligent manufacturing to enhance productivity, precision, and operational efficiency. Embedded graphics processing unit (GPU) modules provide high-performance parallel computing capabilities for machine vision, AI inference, motion control, and sensor data processing at the edge, enabling robotics and automation systems to make faster decisions, improve accuracy, and execute tasks in real time without relying on cloud connectivity. For instance, in September 2024, according to the World Robotics 2024 report released by the International Federation of Robotics, a Germany-based non-profit organization, the operational stock of industrial robots reached 4,281,585 units in factories worldwide, representing a 10% year-on-year increase. Therefore, the growing deployment of robotics and automation systems is driving the growth of the embedded general processing units (GPU) module market.

Major companies operating in the embedded general processing units (GPU) module market are increasingly focusing on innovative products such as rugged embedded GPU boards to improve AI inference, real-time graphics processing, edge computing capabilities, and mission-critical data processing. Rugged embedded GPU boards are high-performance embedded computing modules that integrate advanced graphics processing units into compact and durable form factors designed to operate in harsh environments, enabling faster AI processing, parallel computing, and real-time visualization compared with conventional embedded processing modules. For instance, in June 2026, Kontron AG, an Austria-based IoT and embedded computing company, launched the VX33211, a 3U VPX GPU board powered by the NVIDIA RTX PRO 2000 Blackwell Embedded GPU for AI, graphics, and high-performance edge computing. The module delivers up to 13.78 TFLOPS FP32 performance with 3,328 CUDA cores, 104 Tensor Cores, 26 RT Cores, and 8 GB GDDR7 memory with bandwidth of up to 384 GB/s to accelerate AI inference, real-time image processing, and parallel computing workloads. Designed for rugged applications, it complies with VITA 48 standards, supports PCIe Gen4 connectivity, operates across an extended temperature range of -40°C to +85°C, and aligns with SOSA OpenVPX profiles to facilitate system integration for defense and aerospace applications. These developments highlight the increasing demand for rugged, AI-enabled embedded GPU modules capable of delivering high-performance computing at the edge.

In March 2023, Advantech Co. Ltd., a Taiwan-based provider of intelligent IoT systems and embedded platforms, partnered with Intel Corporation to develop embedded GPU cards powered by Intel Arc graphics. Through this partnership, Advantech Co. Ltd. and Intel Corporation aim to provide high-performance embedded GPU solutions for edge AI, vision AI, medical imaging, gaming, and factory automation applications by integrating Intel Arc graphics, Intel Deep Link, and OpenVINO technologies to improve AI inference, graphics processing, and video encoding capabilities. Intel Corporation is a US-based semiconductor company specializing in processors, GPUs, AI accelerators, and computing platforms.

Major companies operating in the embedded general processing units (GPU) module market are NVIDIA Corporation, Intel Corporation, Advanced Micro Devices Inc, Curtiss-Wright Corporation, Advantech Co Ltd, AAEON Technology Inc, Mercury Systems Inc, Eurotech SpA, IEI Integration Corp, SECO SpA, ADLINK Technology Inc, Congatec GmbH, Syslogic GmbH, OnLogic Inc, Diamond Systems Corporation, Neousys Technology Inc, Aetina Corporation, GIGAIPC Co Ltd, ZRT Technology Co Ltd.

Asia-Pacific was the dominant region in the embedded general processing units (GPU) module market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the embedded general processing units (GPU) module market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the embedded general processing units (GPU) module market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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