GLOBAL EMBEDDED FPGA MARKET SIZE AND SHARE ANALYSIS - GROWTH TRENDS AND FORECASTS (2024-2031)

Global Embedded FPGA Market Size and Trends

Global embedded FPGA market is estimated to be valued at USD 109.82 million in 2024 and is expected to reach USD 302.96 million by 2031, exhibiting a compound annual growth rate (CAGR) of 15.6% from 2024 to 2031.

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The market is expected to witness significant growth during the forecast period due to increasing demand for embedded FPGAs across various industry verticals coupled with the growing adoption of system-on-chip designs.

Embedded FPGAs help integrate programmable logic into SoCs along with other components, thereby, providing developers enhanced flexibility to modify hardware designs based on changing application requirements post-production. These also help to streamline development cycles and reduce time-to-market by allowing customizations at the hardware level during product development. Rapid technology shifts and evolving standards across industries are driving the need for more adaptable and reconfigurable devices such as embedded FPGAs. The automotive, industrial and communications sectors in particular are expected to boost adoption of Embedded FPGA during the forecast period.

Rise of AI and Machine Learning

With increasingly complex AI and machine learning workloads, embedded FPGAs are being adopted to efficiently handle these tasks at the edge. As more AI capabilities are integrated directly into edge devices like cameras, routers, and industrial equipment, there is a need for flexible and high-performance computing close to where data is generated and consumed. Embedded FPGAs provide an ideal programmable hardware target for developing and deploying customized AI/ML models directly on edge silicon. Compared to traditional CPU or GPU solutions, FPGAs are better suited to accelerate workloads involving real-time image and video processing, sensor fusion, predictive maintenance, and natural language processing. Leading companies developing AI edge devices are leveraging embedded FPGAs to their advantage, allowing them to customize solutions for specific applications and workloads.

Along with rise of AI, market is seeing an explosion in the number of internet-connected devices across numerous markets including automotive, industrial Internet of Things, communications infrastructure, and consumer electronics. This proliferation of connected devices is generating vast amounts of data that needs to be processed closer to its source for latency-sensitive applications and to avoid bottlenecks in cloud connectivity. Embedded FPGAs enable OEMs to integrate flexible accelerators and heterogeneous computing resources directly into the edge silicon powering these connected devices. Not only can FPGAs handle a variety of processing tasks involving video, vision, sensor data and communications protocols, these also provide device manufacturers with programmability to easily upgrade products in the field via firmware updates. As more and more ‘things’ across various verticals become internet-connected over the coming decade, embedded FPGAs will continue gaining prominence to power the edge layers of distributed architectures and meet the low-power, high-performance requirements of next-generation connected devices.

For Instance, In February 2022, the Indian government acknowledged the global rise of Machine to Machine (M2M) and Internet of Things (IoT) technologies, recognizing their potential benefits across industries. To bolster the M2M ecosystem, several measures were introduced, including guidelines for M2M Service Providers and Connectivity Providers, new licenses for M2M operations, and an extension of spectrum availability for M2M/IoT applications. These actions aim to facilitate registration processes, enhance connectivity, and foster innovation in sectors such as power, automotive, healthcare, agriculture, and smart infrastructure development.