Market Research Report
Neuromorphic Computing Market By Offering, Deployment, Application, Industry Vertical : Global Opportunity Analysis and Industry Forecast, 2021-2030
|Neuromorphic Computing Market By Offering, Deployment, Application, Industry Vertical : Global Opportunity Analysis and Industry Forecast, 2021-2030|
Published: September 30, 2021
Allied Market Research
Content info: 354 Pages
Delivery time: 2-3 business days
The global neuromorphic computing market size is expected to reach $8.58 billion by 2030 from $0.26 billion in 2020, growing at a CAGR of 79.00% from 2021 to 2030. Neuromorphic computing utilizes an engineering approach or method-based on the activity of the biological brain. This type of approach can make technologies more versatile and adaptable, and promote more vibrant results than other types of traditional architectures Neuromorphic computing achieves brain such as function and efficiency by building artificial neural systems, which implements neurons and synapses to transfer electrical signals using analog circuitry. This enables them to modulate the amount of electricity flowing between those nodes to mimic varying degrees of strength that naturally occurring brain signals.
Growth in popularity of deep learning and neural networks has spurred a race to develop AI-hardware specialized for neural network computations. Among handful of trends that have emerged in past few years is neuromorphic computing, which has shown promising growth, owing to its similarities to biological and artificial neural networks.
Prominent factors that impact the neuromorphic computing market growth include rise in demand for artificial intelligence and machine learning technology, high usage of software in neuromorphic computing, and rise in demand for better performing integrated circuits (ICs). However, rise in complexity of algorithms and backend operations restricts the market growth. On the contrary, increase in adoption of neuromorphic chips in the automotive industry is expected to create lucrative opportunities for the market. Therefore, these factors are expected to definitely affect the global neuromorphic computing industry during the forecast period.
The global neuromorphic computing market is segmented on the basis of offering, deployment, application, industry vertical, and region. By offering, the market is bifurcated into hardware and software. The hardware segment is further sub segmented into processor and memory. By deployment, the market is divided into edge computing and cloud computing. By application, it is fragmented into image recognition, signal recognition, data mining, and others. Depending on industry vertical, it is separated into consumer electronics, automotive, IT & telecom, aerospace & defense, industrial, healthcare, and others.
Region-wise, the neuromorphic computing market trends are analyzed across North America (U.S., Canada, and Mexico), Europe (Germany, UK, France, Italy, and Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, and Rest of Asia-Pacific), and LAMEA (Latin America, the Middle East, and Africa). North America is dominating the market, owing to rise in awareness regarding benefits of neuromorphic computing in industries such as aerospace, military & defense, and healthcare.
Competitive analysis and profiles of the major neuromorphic computing market players, such as IBM Corporation (US), Intel Corporation (US), BrainChip Holdings Ltd. (US), Qualcomm Incorporated (US), Hewlett Packard Development LP (US), Samsung Electronics Ltd. (South Korea), General Vision Inc. (US), L Applied Brain Research Inc. (US), Numenta (US), and Vicarious (U.S.), are focusing their investment on technologically advanced, cost-effective, and more secure products and solutions for various applications.
By Industry Vertical