Neuromorphic Computing Market to Reach USD 8351 Million by 2030
The global neuromorphic computing market is projected to reach USD 8351 million by 2030, according to a new report by Market Research Future (MRFR). The market is expected to grow at a CAGR of 21% during the forecast period from 2022 to 2030.
Neuromorphic computing is a type of computing that is inspired by the human brain. It uses artificial neural networks to perform tasks such as pattern recognition, decision-making, and learning. Neuromorphic computing is still in its early stages of development, but it has the potential to revolutionize many industries, including healthcare, manufacturing, and transportation.
The growth of the neuromorphic computing market is being driven by a number of factors, including the increasing demand for artificial intelligence (AI) and machine learning (ML) solutions, the rising popularity of edge computing, and the need for more energy-efficient computing solutions.
The market for neuromorphic computing is segmented on the basis of offering, application, end-user, and region.
On the basis of offering, the market is segmented into hardware and software. Hardware includes neuromorphic chips, neuromorphic systems, and neuromorphic sensors. Software includes neuromorphic compilers, neuromorphic libraries, and neuromorphic frameworks.
On the basis of application, the market is segmented into healthcare, manufacturing, transportation, and others. Healthcare is the largest application segment of the neuromorphic computing market.
On the basis of end-user, the market is segmented into small and medium-sized enterprises (SMEs) and large enterprises. Large enterprises are more likely to adopt neuromorphic computing solutions than SMEs.
On the basis of region, the market is segmented into North America, Europe, Asia Pacific, and Rest of the World (RoW). North America is the largest market for neuromorphic computing, followed by Europe and Asia Pacific.
The key players in the neuromorphic computing market are Intel Corporation, IBM Corporation, Qualcomm Technologies, Inc., Hewlett Packard Enterprise Development LP, and Numenta Corporation.
The neuromorphic computing market is a rapidly growing market, and it is expected to continue to grow in the coming years. The growth of the market is being driven by a number of factors, including the increasing demand for AI and ML solutions, the rising popularity of edge computing, and the need for more energy-efficient computing solutions.
Browse In-depth Market Research Report (113 Pages) on Neuromorphic Computing Market
Here are some of the key benefits of neuromorphic computing:
- Energy efficiency: Neuromorphic computing is much more energy-efficient than traditional computing methods. This is because neuromorphic chips are designed to mimic the energy-efficient way that the human brain works.
- Scalability: Neuromorphic computing is scalable, which means that it can be used to solve problems of any size. This is because neuromorphic chips can be interconnected to create larger and more powerful systems.
- Robustness: Neuromorphic computing is robust to noise and errors. This is because neuromorphic chips are designed to mimic the way that the human brain is able to learn and adapt to changes in its environment.
Neuromorphic computing is a promising new technology that has the potential to revolutionize many industries. The market for neuromorphic computing is expected to grow rapidly in the coming years, as more and more businesses and organizations adopt this new technology.
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