The Global Neuromorphic Computing Market is projected to reach a value of over USD 370 Million by 2027 at a CAGR of around 53.6%.
Neuromorphic computing is a class of artificial intelligence stimulated by the biological functioning of the human neuron which has spiking neural network. Using neuromorphic technology densely connected synthetic neurons and synapses are created which can be used in the chips to solve complicated machine learning problems. The neuromorphic computers can perform calculations more efficiently in terms of time and power consumption. This architecture has the ability to cater the demands of next-generation AI based devices.
Market Driver:
Artificial Intelligence (AI) is getting equipped across various domains and the innovations related to AI are also gaining momentum resulting in advancement. The architecture based on neuromorphic structure is more suitable for the advancement in the field of AI. Today’s AI based devices such as Siri and Alexa, are dependent on cloud-based computing to perform complex tasks such as responding to voice of the user. Incorporating neuromorphic technology in such smart devices may produce more efficient output. Compared to conventional CPU chips, neuromorphic chips require lesser energy to operate and gives improved output.
Hence, flourishing demand of AI can be benefitting for the growth of the neuromorphic computing market, during the forecast period.
Market Challenge:
Owing to the complexity of the technology current adoption of neuromorphic computing is very limited. Significant challenge is faced during defining the algorithm in the neuromorphic computers, this algorithm contains structure and dynamics of the network. In addition, setbacks are faced in the researches related to neuromorphic technology as it is very difficult to mimic the human brain flexibility and the capability to respond to unregulated stimuli on a single chip.
Hence, complexity of the neuromorphic technology can be a limiting factor for the growth of the neuromorphic computing market, during the forecast period.
The report on the neuromorphic computing market covers a deep dive analysis of historic, recent and current market trends. Furthermore, market share/ranking analysis of key players, market dynamics, competition landscape, country-wise analysis for each region covered and the entire supply chain dynamics are covered through the below segmentation.
Report Features |
Specifics |
---|---|
Historical/Estimated/Forecasted Market Size Years |
2018-2027 |
Base Year for Market Calculation |
2019 |
Forecasted Period |
2020-2027 (2020 estimated year, forecasted up to 2027) |
Measured Units |
Value (USD Million) |
Segments Included |
Component, Application, End-users, and Region |
Regional Coverage |
North America, South America, Asia-Pacific, Europe, Middle East & Africa |
For the scope of the report, In-depth segmentation is offered by Forencis Research
Neuromorphic Computing Market, by Component
Neuromorphic Computing Market, by Application
Neuromorphic Computing Market, by End User
Neuromorphic Computing Market, by Region
60+ MARKET TABLES AND 30+ FIGURES WILL BE INCLUDED IN THE NEUROMORPHIC COMPUTING MARKET STUDY
Note1: Tentative table of contents, may get updated during the course of research.
Note2: Company financial information is subject to availability in public domain
60+ MARKET TABLES AND 30+ FIGURES WILL BE INCLUDED IN THE STUDY