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The global neural processor market size was estimated at USD 237.6 million in 2023 and is projected to grow at a CAGR of 19.3% from 2024 to 2030. The neural processor market is growing due to the rapid expansion of artificial intelligence (AI) and machine learning (ML) applications across various sectors. These technologies require specialized hardware capable of processing complex algorithms efficiently, which traditional CPUs and GPUs struggle to handle. Neural processors are specifically designed to manage AI workloads, providing faster performance and greater energy efficiency. This increased capability makes them essential for applications such as autonomous vehicles, real-time analytics, and natural language processing. As AI becomes more prevalent in industries such as healthcare, finance, and manufacturing, the demand for neural processors continues to rise. Companies are investing heavily in research and development to create more advanced neural processors to meet these needs.
Consumer electronics are another key area contributing to the rise of the neural processor market. Devices such as smartphones, smart speakers, and home automation systems are increasingly incorporating AI features to enhance user experiences. Neural processors enable these devices to perform tasks such as voice recognition, image processing, and personalized recommendations more efficiently. As more consumers seek AI-powered functionalities in their devices, manufacturers are integrating neural processors to meet this demand. This trend has led to significant growth in the neural processor market, especially as companies compete to offer the most advanced AI-enabled products. Improvements in semiconductor manufacturing have contributed to the ability to produce neural processors more efficiently and on a larger scale. This combination of consumer demand and technological progress is accelerating the adoption of neural processors.
The growing reliance on cloud computing and edge computing has further accelerated the demand for neural processors. Cloud service providers are increasingly offering AI-as-a-service solutions that depend on neural processors to deliver high-speed, scalable AI capabilities. These processors are critical for managing large volumes of data and performing complex AI computations in real time. In edge computing, neural processors help process data closer to the source, reducing latency and improving decision-making for applications such as autonomous vehicles and smart cities. This decentralization of AI processing requires powerful neural processors to ensure smooth and efficient operations. As both cloud and edge computing grow, neural processors are becoming indispensable for enabling AI in a wide range of scenarios.
Global Neural Processor Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global neural processor market report based on operation, application and region.