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REPORT HIGHLIGHT

Neuromorphic Computing Market size was valued at USD 5,180.31 Million in 2023, expanding at a CAGR of 22.80% from 2024 to 2032.

Neuromorphic computing represents a groundbreaking paradigm in computing, inspired by the intricate workings of the human brain. Emulating the neural networks found in the brain, neuromorphic systems are composed of interconnected artificial neurons that process information simultaneously on a massive scale. This architecture enables tasks such as pattern recognition, learning, and decision-making with exceptional efficiency. In contrast to traditional von Neumann architecture, where processing and memory functions are separate, neuromorphic computing seamlessly integrates computation and memory. This integration results in accelerated data processing and reduced power consumption. The technology's potential applications span across artificial intelligence, robotics, sensory processing, and other fields where cognitive capabilities are essential.

Neuromorphic Computing Market- Market Dynamics

Growing demand for AI-driven solutions in various sectors to propel market demand

The growth of the neuromorphic computing market is fueled by the growing demand for AI-driven solutions in various sectors, including healthcare, finance, and automotive. Neuromorphic computing systems are prized for their capacity to handle large-scale data and execute complex tasks in real-time. Furthermore, advancements in neuromorphic hardware design, encompassing the exploration of novel materials and fabrication techniques, enhance the scalability, energy efficiency, and performance of these systems. Additionally, increased investments in research and development by established corporations and startups alike contribute to ongoing innovation and market expansion. This dynamic environment fosters continuous growth in the neuromorphic computing market, paving the way for future breakthroughs and applications.

Neuromorphic Computing Market- Key Insights

As per the analysis shared by our research analyst, the global market is estimated to grow annually at a CAGR of around 22.80% over the forecast period (2024-2032)

Based on application segmentation, Image Processing was predicted to show maximum market share in the year 2023

Based on Component segmentation, hardware was the leading type in 2023

Based on end use segmentation, Consumer Electronics was the leading type in 2023

On the basis of region, North America was the leading revenue generator in 2023

Neuromorphic Computing Market- Segmentation Analysis:

The Global Neuromorphic Computing Market is segmented on the basis of Deployment, Component, Application, End User, and Region.

The market is divided into five categories based on application: Signal Processing, Image Processing, Data Processing, Object Detection and Others. In 2023, the image processing segment emerges as the dominant force in the market, largely driven by the widespread adoption of computer vision across various industries such as automotive, healthcare, and media & entertainment. An illustrative example of this is the critical role of image processing in medical imaging applications. Anticipated advancements in image sensors and related processing technologies are poised to fuel revenue growth within this segment throughout the forecast period. Image processing primarily aims to extract essential visual information to facilitate the resolution of complex tasks like image recognition, thereby enhancing overall efficiency in the vision process. The advent of neuromorphic image processing holds immense promise in enhancing computers' capacity to interpret and analyze data effectively. Additionally, the increasing popularity of artificial neural network models in image processing underscores the importance of rapid computation and parallel architectures in this domain.

The market is divided into five categories based on End use: Consumer Electronics, Automotive, Healthcare, Military & Defense and Others. The consumer electronics segment takes the lead in the market in 2023. The escalating demand for various electronic devices such as laptops, PCs, and tablets drives a consistent upsurge in the consumer electronics industry's need for neuromorphic chips. Consumer preferences for smaller and more affordable products necessitate the miniaturization of integrated circuits, a trend that significantly contributes to the growth of the consumer electronics segment within the global neuromorphic chip market.

Neuromorphic Computing Market- Geographical Insights

Geographically, this market is widespread into the regions of North America, Latin America, Europe, Asia Pacific, and the Middle East and Africa. These regions are further divided as per the nations bringing business.

Neuromorphic Computing Market- Competitive Landscape:

Prominent companies within the market allocate substantial resources to ongoing research and development endeavors while introducing innovative products to propel advancements in emerging technologies. The neuromorphic chip market features dominant semiconductor vendors boasting considerable revenue-generating capabilities, alongside architecture-development startups and academic institutions. This market exhibits consolidation, with vendors increasingly investing in R&D initiatives and collaborative efforts to enhance technological prowess and drive market commercialization, thereby reducing competitive pressures. Although neuromorphic chips are in the early stages of development, there is a notable uptick in patent filings by market players, attracting attention from major semiconductor firms, R&D centers, and universities. This trend suggests a growing competitive landscape in the future.

Recent Developments:

In December 2022, Polyn Technology, an Israel-based Fabless semiconductor business, announced the accessibility of neuromorphic analog signal processing mockups for Edge Impulse, a machine learning development platform catering to edge devices. This platform addresses ultra-low power consumption in sensor solutions for wearables and the Industrial Internet of Things, marking a significant development within the industry.

SCOPE OF THE REPORT

The scope of this report covers the market by its major segments, which include as follows:

GLOBAL NEUROMORPHIC COMPUTING MARKET KEY PLAYERS- DETAILED COMPETITIVE INSIGHTS

Brain Corporation

CEA-Leti

General Vision, inc

Hewlett Packard Company

HRL Laboratories, LLC

International Business Machines Corporation

Intel Corporation

Knowm Inc

Qualcomm Technologies, Inc

Samsung Electronics Co., Ltd

Vicarious FPC, Inc.

Others

GLOBAL NEUROMORPHIC COMPUTING MARKET, BY DEPLOYMENT- MARKET ANALYSIS, 2019 - 2032

GLOBAL NEUROMORPHIC COMPUTING MARKET, BY COMPONENT- MARKET ANALYSIS, 2019 - 2032

GLOBAL NEUROMORPHIC COMPUTING MARKET, BY APPLICATION - MARKET ANALYSIS, 2019 - 2032

GLOBAL NEUROMORPHIC COMPUTING MARKET, BY END USER- MARKET ANALYSIS, 2019 - 2032

GLOBAL NEUROMORPHIC COMPUTING MARKET, BY REGION- MARKET ANALYSIS, 2019 - 2032

Table of Contents

1.Neuromorphic Computing Market Overview

2.Executive Summary

3.Neuromorphic Computing Key Market Trends

4.Neuromorphic Computing Industry Study

5.Neuromorphic Computing Market: COVID-19 Impact Analysis

6.Neuromorphic Computing Market Landscape

7.Neuromorphic Computing Market - By Deployment

8.Neuromorphic Computing Market - By Component

9.Neuromorphic Computing Market - By Application

10.Neuromorphic Computing Market - By End Use

11.Neuromorphic Computing Market- By Geography

12.Key Vendor Analysis- Neuromorphic Computing Industry

13.360 Degree Analyst View

14.Appendix

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