Neuromorphic Computing Market to be Dominated by the Automotive Industry Through 2028

According to TechSci Research report, “Neuromorphic Computing Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028F,”

The global Neuromorphic Computing market is expected to experience significant growth in the coming years. The global neuromorphic computing market is influenced by several factors. These factors include the increasing need for self-driving cars, higher demand for automated systems and artificial intelligence (AI), and more investment in using AI for things like connected devices and vehicles. However, there's a challenge because the chips used in these devices, like IoT gadgets, cars, and drones, don't have enough power, memory, or speed for efficient AI usage. Traditional x86 architectures are expensive and ineffective for AI applications. This is where neuromorphic chips stand out for their capability to hasten deep learning tasks at low power consumption.

The AI accelerators are now currently leading the market as they are commonly used in GPUs, Application-Specific Integrated Circuits (ASICs), and Field-Programmable Gate Arrays (FPGAs). The AI accelerators are highly expensive and require high-power consumption cost which is why it is not suitable for future applications. The market is projected to keep growing in the future, with the latest demand for machine learning and deep learning focused on fraud detection and cybersecurity. Artificial Intelligence and machine learning are significantly used in cybersecurity methods. Machine learning and deep learning play an important role in detecting inappropriateness using behavioral analysis and provides several examples of companies using ML to detect attacks and mitigate risks.

Browse over XX market data Figures spread through XX Pages and an in-depth TOC on the "Global Neuromorphic Computing Market."

The Neuromorphic Computing market can be segmented by Offering, Deployment, Technology, End-User, and Region.

On the basis of Offering, the market is segmented into Hardware and Software. On the basis of Deployment, the market is segmented into Edge Computing and Deploy Computing. On the basis of Technology, the market is segmented into MMES and Non-MEMS. On the basis of End-User, the market is segmented into Automotive, Healthcare, Consumer Electronics, Military & Defense, and Industrial. The market analysis also studies the regional segmentation to devise regional market segmentation, divided among North America, Europe, Asia-Pacific, South America, and Middle East & Africa.

Currently North America is dominating the market over the forecast period of 2024-2028F. There are many aspects which influence the market such as portfolio investment, government efforts, and others. On the other hand, Europe is expected to be the fastest growing region during the forecast period. The neuromorphic computing technology has been risen significantly in the region and usage of technology in application industries has been increased throughout the European Union.

Key market players in the global Neuromorphic Computing market include:

·         IBM Corporation

·         Intel Corporation

·         Samsung Electronics Co. Ltd

·         Brain Corporation

·         General Vision Inc

·         HRL Laboratories LLC

·         Vicarious (Alphabet Inc.)

·         CEA-Leti

·         Knowm Inc

·         BrainChip Holdings Ltd

Download Free Sample Report

Customers can also request 10% free customization in this report.

“Neuromorphic computing is a future oriented technology that is basically used in various applications including, next-generation semiconductors, drones, self-driving cars, autonomous systems, and deep learning applications. There are several other technologies which are used in robots, drones, data analytics, smart home devices, self-driving cars, and others. Automotive industry is considered as the most dominated industry for neuromorphic computing market. This is anticipated to considerably expand the demand for AI-powered neuromorphic transistors. Instead, neuromorphic computing, using AI and machine learning, has greatly enhanced information processing and facilitated computer systems to keep pace with more advanced and sophisticated technologies.” said Mr. Karan Chechi, Research Director with TechSci Research, a research-based global management consulting firm.

“Neuromorphic Computing Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028F,” Segmented By Offering (Hardware, Software), By Deployment (Edge Computing, Deploy Computing), By Technology (MMES and Non-MEMS), By End-User (Automotive, Healthcare, Consumer Electronics, Military & Defense and Industrial), By Region” has evaluated the future growth potential of Neuromorphic Computing and provides statistics and information on market structure, size, share, and future growth. The report intends to provide cutting-edge market intelligence and help decision makers take sound investment decisions. Besides, the report also identifies and analyzes the emerging trends along with essential drivers, challenges, and opportunities in the Global Neuromorphic Computing market.

Contact

Mr. Ken Mathews

708 Third Avenue,

Manhattan, NY,

New York – 10017

Tel: +1-646-360-1656

Email: [email protected]

Web: www.techsciresearch.com