SYSTEM ON A CHIP (SOC) MARKET ANALYSIS

Market Concentration and Competitive Landscape

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Artificial Intelligence and machine learning have developed from early experimentation phase to a powerful tools that are now enhancing various products and services. This increased adoption of AI technologies is catalyzing the SoC market as well. AI workloads require specialized hardware acceleration to run complex deep learning algorithms and models efficiently. The advanced compute capabilities expected from IoT devices is pushing the boundaries of traditional SoC designs. Edge devices performing on-device AI processing need dedicated AI processing units, neural network processors and software tools supported on high performance yet energy efficient chips.

Furthermore, developments in computer vision, speech recognition, predictive analytics and other AI technologies are finding applications in an array of fields like consumer electronics, surveillance cameras, drones, AI assistants and more. For instance, most flagship smartphones now come equipped with dedicated AI processing modules to enable superior camera and imaging capabilities. Such advanced functionalities and features demand optimized SoC platforms tailored for specific AI workloads. This growing use of AI across many industries seems poised to significantly increase the size of AI SoC market in the foreseeable future.

In January 2022, Qualcomm Technologies launched the Snapdragon Ride Vision System, a new open, scalable, and modular computer vision software stack. Built on a four-nanometer (4nm) process technology SoC, it is designed for optimized implementation in advanced driver assistance systems (ADAS) and automated driving (AD).