The On board AI SOC (System on Chip) market size was valued at USD 1.12 billion in 2022 and is projected to reach USD 8.69 billion by 2030, growing at a CAGR of 28.8% from 2024 to 2030. The increasing demand for AI-driven applications in automotive, consumer electronics, and industrial automation is a key driver of this growth. The integration of AI algorithms into SOCs enables real-time data processing and decision-making, making it a vital component in autonomous vehicles, smart cameras, and other intelligent systems.
Moreover, the expanding adoption of edge computing and the need for efficient power consumption are further propelling the market. As industries increasingly rely on AI for automation and improved efficiency, the need for high-performance, energy-efficient on-board AI SOCs is expected to rise sharply in the coming years. This trend is also being fueled by advancements in semiconductor technologies and the increasing availability of low-cost AI solutions tailored to embedded systems. The market's growth is supported by the continuous evolution of AI technologies and the rising penetration of smart devices globally.
Download Full PDF Sample Copy of Market Report @
On board AI SOC Market Research Sample Report
The On-board AI System on Chip (SoC) market has seen significant growth due to the increasing integration of artificial intelligence (AI) technologies into various applications. SoCs designed for on-board AI applications are versatile and cater to multiple industries. They enable edge computing, offering real-time processing capabilities that are essential in environments where immediate decision-making is crucial. Key applications of on-board AI SoCs include automotive, industrial, retail, smart home, and others, each benefiting from advanced AI functionalities that improve efficiency, safety, and user experience.
The automotive sector, for example, has experienced rapid advancements in autonomous driving and advanced driver-assistance systems (ADAS) powered by on-board AI SoCs. These chips process data from sensors and cameras, allowing vehicles to make real-time decisions, enhancing safety and paving the way for future autonomous vehicles. Similarly, in industrial applications, AI-powered SoCs enable predictive maintenance, process automation, and quality control, reducing downtime and optimizing operational efficiency. In retail and smart homes, AI SoCs enable seamless customer experiences through smart devices, personalized recommendations, and automation. The growth in these segments demonstrates the broad utility of AI SoCs in improving system intelligence and performance across various industries.
On-board AI SoCs in the automotive sector are integral to the development of autonomous vehicles and advanced driver-assistance systems (ADAS). These SoCs handle real-time data processing from cameras, LiDAR, and radar sensors to ensure accurate decision-making, enabling features like lane-keeping assistance, automatic emergency braking, and adaptive cruise control. Additionally, AI chips help in the integration of in-car infotainment systems, providing intelligent voice recognition, navigation, and driver preferences. The move towards electric vehicles (EVs) further drives the need for on-board AI, as these vehicles require sophisticated battery management and energy optimization, all of which rely on intelligent algorithms supported by AI chips.
The automotive on-board AI SoC market is set to expand as car manufacturers increasingly rely on AI for not just safety and performance, but also for enhancing the in-car user experience. AI chips are also key enablers of autonomous driving technology, contributing to real-time decision-making, object recognition, and route optimization. As AI-based features in vehicles evolve, AI SoCs will continue to play an essential role in enabling safer, more efficient, and connected driving experiences, potentially transforming the automotive industry into a hub for innovation in transportation technology.
In industrial applications, on-board AI SoCs are helping to modernize manufacturing processes through automation, predictive maintenance, and real-time data analytics. These chips enable machinery and equipment to "learn" from historical data and sensor inputs, predicting failures before they occur and reducing unplanned downtime. This is critical in industries where maintaining continuous production is vital, such as in manufacturing, energy, and utilities. Additionally, AI-enabled systems can monitor supply chain operations, optimize logistics, and improve inventory management, contributing to greater efficiency and cost savings for businesses.
The industrial sector is increasingly adopting AI technology for the optimization of various processes, and on-board AI SoCs are central to these advancements. With the ability to perform edge computing, these chips allow for faster decision-making, reducing the latency typically associated with sending data to the cloud for processing. As industries continue to embrace Industry 4.0 concepts, including automation, smart factories, and Internet of Things (IoT) systems, on-board AI SoCs are expected to play a pivotal role in shaping the future of industrial operations.
In the retail industry, on-board AI SoCs are being employed in a variety of ways to improve customer experiences and operational efficiencies. AI-powered systems, such as self-checkout kiosks, digital signage, and smart shelves, rely on these chips to deliver real-time data processing and decision-making. By analyzing customer behavior, AI SoCs help retailers personalize shopping experiences, offering recommendations, targeted promotions, and inventory management solutions. Additionally, AI-enabled analytics can assist in demand forecasting and supply chain optimization, ultimately reducing waste and improving profitability for retail businesses.
The integration of AI SoCs in retail environments is increasingly essential for providing seamless, interactive shopping experiences. Smart devices that use on-board AI can understand and adapt to consumer preferences, making shopping more intuitive and personalized. As the demand for automation and digital experiences grows, the role of on-board AI SoCs in retail will continue to expand, empowering retailers to optimize o
For More Information or Query, Visit @ On board AI SOC Market Size And Forecast 2025-2030