Neuromorphic Chip Market

Neuromorphic Chip Market to Reach US$ 26.78 Million during the Forecast Period 2023-2030


Market Overview:
The global neuromorphic chip market is projected to reach a value of US$ 26.78 million in 2022 and is expected to exhibit a CAGR of X% over the forecast period of 2023-2030. Neuromorphic chips are advanced microprocessors designed to mimic the functioning of the human brain, enabling high-speed, low-power, and efficient data processing. These chips offer several advantages, including improved performance in pattern recognition, machine learning, and artificial intelligence applications. The need for neuromorphic chips arises from the growing demand for intelligent computing systems that can process complex data in real-time, leading to significant advancements in various industries such as healthcare, automotive, and robotics.

Market key trends:
One key trend in the neuromorphic chip market is the increasing adoption of AI-powered edge devices. With the rise of the Internet of Things (IoT) and the need for real-time data processing, there is a growing demand for AI capabilities in edge devices. Neuromorphic chips offer the advantage of efficient processing of AI algorithms at the edge, reducing the bandwidth requirement and latency associated with cloud-based processing. This trend is particularly relevant in applications such as autonomous vehicles, industrial automation, and smart home devices, where real-time decision-making is crucial. The integration of neuromorphic chips in edge devices allows for faster and more accurate processing of data, leading to improved performance and enhanced user experience.

Segment Analysis:

The neuromorphic chip market can be segmented based on type, application, and geography. In terms of type, the market can be divided into digital neuromorphic chips and analog neuromorphic chips. The digital neuromorphic chips segment dominates the market due to their ability to simulate complex neural networks and perform parallel processing tasks efficiently. These chips are widely used in various applications such as robotics, aerospace, and defense industries. The analog neuromorphic chips segment is also witnessing significant growth, driven by their low power consumption and high-speed processing capabilities.

Based on application, the market is segmented into image recognition, speech recognition, data mining, and others. Among these, the image recognition segment holds the largest market share. With the increasing demand for facial recognition technology and autonomous vehicles, the adoption of neuromorphic chips for image recognition applications is growing rapidly. The speech recognition segment is also expected to witness substantial growth due to the rising popularity of voice-controlled devices and virtual assistants.

Key Takeaways:

Global Neuromorphic Chip Market Size is projected to experience high growth, exhibiting a CAGR of 67.3% over the forecast period from 2023 to 2030. This growth can be attributed to the increasing demand for artificial intelligence (AI) and machine learning (ML) technologies across various industries. The adoption of neuromorphic chips is driven by their ability to mimic the functioning of the human brain and process vast amounts of data in real-time.

In terms of regional analysis, North America is the fastest-growing and dominating region in the neuromorphic chip market. This can be attributed to the presence of key market players, such as IBM Research, Inc., Intel Corp., and Qualcomm Technologies Inc., who are actively involved in the development and commercialization of neuromorphic chips. Additionally, the region has a well-established infrastructure and technological advancements, which further contribute to the market growth.

Key players operating in the neuromorphic chip market include IBM Research, Inc., Knowm Inc., Intel Corp., BrainChip Holdings Ltd., General Vision Inc., HRL Laboratories, LLC, Qualcomm Technologies Inc., and Hewlett Packard Labs. These companies are focusing on product innovation and strategic partnerships to gain a competitive edge in the market. For instance, IBM Research, Inc. has developed TrueNorth, a neuromorphic chip that is designed to consume significantly less power and emulate the brain’s cognitive abilities. Such initiatives by key players are expected to drive the market growth in the coming years.

1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it