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Neuromorphic Computing Market, By Component (Hardware, Software, Services), By Deployment (Edge, Cloud), By Application (Image recognition, Signal recognition, Data mining) By End-use Industry & Forecast, 2024 – 2032

  • Report ID: GMI9155
  • Published Date: Apr 2024
  • Report Format: PDF

Report Content

Chapter 1   Methodology & Scope

1.1   Market scope & definition

1.2   Base estimates & calculations

1.3   Forecast calculation

1.4   Data sources

1.4.1    Primary

1.4.2    Secondary

1.4.2.1   Paid sources

1.4.2.2   Public sources

Chapter 2   Executive Summary

2.1   Industry 360º synopsis, 2021 - 2032

Chapter 3   Industry Insights

3.1   Industry ecosystem analysis

3.2   Vendor matrix

3.3   Profit margin analysis

3.4   Technology & innovation landscape

3.5   Patent analysis

3.6   Key news and initiatives

3.7   Regulatory landscape

3.8   Impact forces

3.8.1   Growth drivers

3.8.1.1   Mimicking brain's efficiency and parallel processing capabilities

3.8.1.2   Enhanced energy efficiency compared to conventional computing architectures

3.8.1.3   Potential for breakthroughs in AI and machine learning applications

3.8.1.4   Scalability for handling large-scale neural network simulations

3.8.1.5   Growing demand for brain-inspired computing solutions

3.8.2   Industry pitfalls & challenges

3.8.2.1   Complexity in designing and programming neuromorphic systems

3.8.2.2   Limited compatibility with existing software and hardware infrastructures

3.9   Growth potential analysis

3.10   Porter’s analysis

3.10.1   Supplier power

3.10.2   Buyer power

3.10.3   Threat of new entrants

3.10.4   Threat of substitutes

3.10.5   Industry rivalry

3.11   PESTEL analysis

Chapter 4   Competitive Landscape, 2023

4.1   Introduction

4.2   Company market share analysis

4.3   Competitive positioning matrix

4.4   Strategic outlook matrix

Chapter 5   Market Estimates & Forecast, By Component, 2021 - 2032 (USD Million)

5.1   Key trends

5.2   Hardware

5.3   Software

5.4   Services

Chapter 6   Market Estimates & Forecast, By Deployment, 2021 - 2032 (USD Million)

6.1   Key trends

6.2   Edge

6.3   Cloud

Chapter 7   Market Estimates & Forecast, By Application, 2021 - 2032 (USD Million)

7.1   Key trends

7.2   Image recognition

7.3   Signal recognition

7.4   Data mining

7.5   Others

Chapter 8   Market Estimates & Forecast, By End-User Industry, 2021 - 2032 (USD Million)

8.1   Key trends

8.2   Consumer Electronics

8.3   Automotive

8.4   Healthcare

8.5   Military & Defense

8.6   Industrial

8.7   Others

Chapter 9   Market Estimates & Forecast, By Region, 2021 - 2032 (USD Million)

9.1   Key trends

9.2   North America

9.2.1   U.S.

9.2.2   Canada

9.3   Europe

9.3.1   UK

9.3.2   Germany

9.3.3   France

9.3.4   Italy

9.3.5   Spain

9.3.6   Rest of Europe

9.4   Asia Pacific

9.4.1   China

9.4.2   India

9.4.3   Japan

9.4.4   South Korea

9.4.5   ANZ

9.4.6   Rest of Asia Pacific

9.5   Latin America

9.5.1   Brazil

9.5.2   Mexico

9.5.3   Rest of Latin America

9.6   MEA

9.6.1   UAE

9.6.2   South Africa

9.6.3   Saudi Arabia

9.6.4   Rest of MEA

Chapter 10   Company Profiles

10.1   Applied Brain Research

10.2   Cerebras Systems

10.3   General Vision

10.4   HP Enterprise

10.5   IBM Corporation

10.6   Intel Corporation

10.7   Knowm Inc.

10.8   Numenta

10.9   Qualcomm

10.10   Vicarious

   

Authors: Suraj Gujar, Sandeep Ugale

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Premium Report Details

  • Base Year: 2023
  • Companies covered: 10
  • Tables & Figures: 345
  • Countries covered: 23
  • Pages: 200
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