The global neuromorphic computing market size was valued at USD 1.49 billion in 2016, expanding at a CAGR of 20.2% over the forecast period. Increasing demand for artificial intelligence for language processing, translation and chatterbots, nonlinear controls and robotics, and computer vision and image processing, among others is expected to drive market growth.
Rise in the number of applications in the area of automation has presented the industry with several growth opportunities. However, lack of R&D and substantial investments in the industry are anticipated to challenge market growth. Furthermore, high complexity involved in designing these chips, owing to complex algorithms and software compatibility issues of neural processing units, is projected to challenge the industry. Steady replacement of the Von Neumann architecture by neuromorphic chips is acting as another driver propelling market growth. Besides, these chips offer benefits such as low power consumption, higher speed, and optimum memory usage. Growing demand for brain-like computing across various industrial verticals is also substantially energizing prospects for industry growth.
The emerging trend of combining neuroscience computation and embodied models has led to an upsurge in demand for design and development of neuromorphic chips for brain-based robots and cognitive robots. Rising need for machine learning tools has further contributed to industry expansion.
On the basis of application, the market can be segmented into signal processing, object detection, image processing, data processing, and others. The image processing application segment dominated the market and accounted for over 41.0% of the overall market revenue in 2016. The segment is anticipated to remain dominant throughout the forecast period and witness the fastest growth rate over the coming years. This growth can be attributed to rise in demand for digital cameras and other imaging systems.
The signal processing application segment accounted for more than 30.0% of the total revenue in 2016. The segment is predicted to grow considerably in the coming years, owing to growing demand for processing audio and acoustics signals.
On the basis of end use, the neuromorphic computing market can be bifurcated into consumer electronics, automotive, healthcare, military and defense, and others. The consumer electronics end-use segment acquired the largest market share of over 60.0% in 2016 and is predicted to continue its dominance over the forecast period.
The automotive end-use segment is expected to witness high demand, due to increasing demand for autonomous cars and smart vehicles. The military and defense segment is also anticipated to gain considerable traction by 2024, owing to accelerating demand for neuromorphic chips in satellites for aerial imagery and surveillance.
The North America market acquired more than 33.0% of the total market in 2016. This is primarily due to the presence of key neuromorphic chip manufacturers in the region. The global industry is expected to gain momentum in Asia Pacific and South America due to growing demand for automation in emerging nations such as China, India, and Brazil.
The European region is anticipated to offer significant opportunities for industry expansion as significant investments are being made in neuromorphic projects and related R&D activities. In addition, increasing efforts made by prominent universities, such as the University of Manchester and Heidelberg University, in research activities centered on neuromorphic computing are remarkably contributing to industry growth in Europe.
Key industry participants include IBM Corporation; Hewlett-Packard; Samsung Electronics Co. Ltd.; Intel Corporation; Qualcomm Inc.; Brain Corporation; General Vision Inc.; HRL Laboratories; Vicarious; CEA-Leti, Knowm Inc.; and Numenta.
Industry vendors are increasingly leveraging effective marketing strategies for commercialization of these chips, which will subsequently help companies penetrate newer markets and capture a significant share in the industry.
Attribute |
Details |
Base year for estimation |
2016 |
Actual estimates/Historical data |
2016 |
Forecast period |
2016 - 2024 |
Market representation |
Revenue in USD Million and CAGR from 2016 to 2024 |
Regional scope |
North America, Europe, Asia Pacific, Latin America, and MEA |
Country scope |
U.S., Canada, Mexico, U.K., Germany, France, India, Japan, China, and Brazil |
Report coverage |
Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
15% free customization scope (equivalent to 5 analyst working days) |
If you need specific information that is not currently within the scope of the report, we will provide it to you as a part of the customization. |
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 2016 to 2024. For the purpose of this study, Grand View Research has segmented the global neuromorphic computing market report based on application, end use, and region:
Application Outlook (Revenue, USD Million, 2016 - 2024)
Signal Processing
Image Processing
Data Processing
Object Detection
Others
End-use Outlook (Revenue, USD Million, 2016 - 2024)
Consumer Electronics
Automotive
Healthcare
Military & Defense
Others
Regional Outlook (Revenue, USD Million, 2016 - 2024)
North America
The U.S.
Canada
Mexico
Europe
The U.K.
Germany
France
Asia Pacific
China
India
Japan
South America
Brazil
MEA
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Artificial Intelligence (AI), Virtual Reality (VR), and Augmented Reality (AR) solutions are anticipated to substantially contribute while responding to the COVID-19 pandemic and address continuously evolving challenges. The existing situation owing to the outbreak of the epidemic will inspire pharmaceutical vendors and healthcare establishments to improve their R&D investments in AI, acting as a core technology for enabling various initiatives. The insurance industry is expected to confront the pressure associated with cost-efficiency. Usage of AI can help in reducing operating costs, and at the same time, can increase customer satisfaction during the renewal process, claims, and other services. VR/AR can assist in e-learning, for which the demand will surge owing to the closure of many schools and universities. Further, VR/AR can also prove to be a valuable solution in providing remote assistance as it can support in avoiding unnecessary travel. The report will account for Covid19 as a key market contributor.
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