Neuromorphic Computing Global Market Report 2024

The neuromorphic computing market size has grown exponentially in recent years. It will grow from $1.15 billion in 2023 to $1.44 billion in 2024 at a compound annual growth rate (CAGR) of 25.8%. The growth observed in the historical period can be attributed to several factors, including advancements in artificial intelligence (AI), the emergence of cognitive computing applications, collaborations within the neuromorphic computing industry, the growing demand for real-time processing capabilities, and increased investment and funding in this field. These factors collectively contributed to the development and expansion of neuromorphic computing technologies during the specified historical timeframe.

The neuromorphic computing market size is expected to see exponential growth in the next few years. It will grow to $3.4 billion in 2028 at a compound annual growth rate (CAGR) of 23.9%. The anticipated growth in the forecast period can be attributed to the rise of edge computing, the integration of neuromorphic computing in applications such as autonomous vehicles, ongoing innovations in neuromorphic hardware, continuous research initiatives, and academic collaborations. The increasing demand for brain-inspired computing solutions further contributes to this growth. Major trends expected in this period include continuous technological innovation and advancement in neuromorphic computing, progress in quantum computing technology, advancements in semiconductor technology, competition from established technologies, and the rise of automated machine learning within the neuromorphic computing landscape.

The increasing demand for automated systems within industries is poised to drive the growth of the neuromorphic computing market in the foreseeable future. Automated systems involve the utilization of diverse technologies and control systems to manage industrial processes autonomously, without human intervention. Neuromorphic computing technology, with applications in autonomous systems such as robotics, drones, self-driving cars, and artificial intelligence, holds significant potential to enhance automation and efficiency in various large-scale operations, product customization, and factory settings. Eurostat reported in December 2023 that approximately 28% of large EU enterprises used artificial intelligence technologies, with 8% having implemented these technologies in 2021. Moreover, around 53% of EU enterprises had integrated ready-to-use commercial artificial intelligence software or systems in 2021. This surge in demand for automated systems in industries is a key driver propelling the growth of the neuromorphic computing market.

Leading companies in the neuromorphic computing market are directing their efforts towards innovative technologies, with a notable example being the development of neuromorphic processors designed to emulate the human brain. Neuromorphic processors, structured to mimic the architecture and functions of the human brain and nervous system, play a crucial role in advancing artificial intelligence. In January 2022, BrainChip, an Australia-based artificial intelligence company, introduced Akida, a neuromorphic neural networking processor tailored to provide low-power artificial intelligence for edge devices. The Akida Neuromorphic ML Framework facilitates the seamless creation of neuromorphic applications, and the Akida Neural Processor SoC operates as a fully digital, event-based AI processor utilizing a Spiking Neural Network (SNN) model. SNNs replicate how neurons communicate in the brain, transmitting data efficiently through spikes or pulses of information, contributing to the effectiveness of event-based processing.

In November 2021, SynSense, a Switzerland-based provider of neuromorphic intelligence and application solutions, collaborated with Prophesee for an undisclosed amount. This collaboration aimed to leverage their expertise in neuromorphic engineering to develop a one-chip event-based smart sensing solution. By combining their strengths in neuromorphic computing and sensing, the partnership sought to create low-power and cost-effective Internet of Things (IoT) solutions. Prophesee, a France-based provider of neuromorphic computing technology and neuromorphic vision systems, played a vital role in this joint initiative.

Major companies operating in the neuromorphic computing market report are Intel Corporation, The International Business Machines Corporation (IBM), Samsung Electronics, Qualcomm Technologies Inc., GrAI Matter Labs S.A., SK Hynix Inc., Hewlett Packard Enterprise Ltd, NVIDIA Corporation, Halo Neuroscience Inc., HRL Laboratories LLC, Defense Advanced Research Projects Agency, Perplexity Lab.Inc., Brain Corporation, Cerebras Systems Inc., General Vision Inc., Innatera Nanosystems B.V., Vicarious FPC Inc., Cortical.io, BrainChip Holdings Ltd., aiCTX AG, Knowm Inc., Prophesee S.A., Numenta Inc., Applied Brain Research Co. Ltd., Flow Neuroscience AB.

North America was the largest region in the neuromorphic computing market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the neuromorphic computing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the neuromorphic computing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The neuromorphic computing market includes revenues earned by entities by providing products and services such as neuromorphic computing platforms, research and consulting services, and custom hardware solutions. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The neuromorphic computing market consists of sales of neuromorphic chips, neuromorphic software, neuromorphic sensors. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

Neuromorphic computing is a computer engineering methodology that emulates elements of the human brain and nervous system. This approach involves the design and engineering of computers to replicate the structure and functionality of the human brain. It utilizes artificial neurons and synapses to process information, mirroring the way biological systems work in terms of information processing and learning. The aim of neuromorphic computing is to develop more efficient and brain-such as computing systems that can excel in tasks such as pattern recognition and cognitive processing.

The prominent components of neuromorphic computing encompass hardware, software, and services. Neuromorphic computing hardware refers to specialized computer architecture and hardware designed to emulate specific aspects of the structure and functioning of the human brain. This hardware is deployed using edge computing and cloud computing models for a variety of applications, including signal processing, image processing, data processing, object detection, and more. End-users of neuromorphic computing hardware include consumer electronics, automotive, healthcare, military and defense, and various other industries. The integration of hardware, software, and services in neuromorphic computing aims to create efficient and brain-inspired computing systems.

The neuromorphic computing market research report is one of a series of new reports that provides neuromorphic computing market statistics, including neuromorphic computing industry global market size, regional shares, competitors with a neuromorphic computing market share, detailed neuromorphic computing market segments, market trends and opportunities, and any further data you may need to thrive in the neuromorphic computing industry. This neuromorphic computing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.


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