Neuromorphic Chip Market
PUBLISHED: 2021 ID: SMRC20948
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Neuromorphic Chip Market

Neuromorphic Chip Market Forecasts to 2028 – Global Analysis By Offering (Hardware, Software), Application (Image Recognition, Visual Processing, Pattern Recognition, Signal Recognition, Data Mining) and By Geography

4.9 (98 reviews)
4.9 (98 reviews)
Published: 2021 ID: SMRC20948

This report covers the impact of COVID-19 on this global market
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According to Stratistics MRC, the Global Neuromorphic Chip Market is accounted for $22.50 million in 2020 and is expected to reach $449.47 million by 2028 growing at a CAGR of 45.4% during the forecast period. Factors such as developments in artificial intelligence (AI) and machine learning (ML) and increasing digitalization are driving the growth of the market. However, lack of proper awareness regarding advanced technologies is hampering the growth of the market.

Neuromorphic chips are digitally processed analog chips with a series of networks which are similar to human brain networks. These chips contain millions of neurons and synapses to augment self intelligence and are capable of manipulating data received through sensors.

Based on the end user, the automotive market research reports segment is anticipated to expand at a rapid pace during the forecast period owing to the rising popularity of high-end technologies like autonomous driving. By geography, North America is going to have high growth during the forecast period which can be attributed to the increasing investments into research activities which are associated with artificial intelligence.

Some of the key players profiled in the Neuromorphic Chip Market include IBM Corporation, Hewlett Packard Enterprise Development LP (HPE), Lockheed Martin Corporation, Samsung Electronics Co. Ltd, Intel Corporation, Qualcomm Technologies, Inc, SynSense AG, BrainChip Holdings Ltd, Nepes Corporation, Vicarious FPC Inc, Gyrfalcon Technology Inc, General Vision, Hrl Laboratories, LLC, GrAI Matter Labs, and SK Hynix Inc.


Classes Covered:

• Biology-Based Learning Models
• Artificial Neural Networks

Offerings Covered:
• Hardware
• Software   

Applications Covered:
• Image Recognition
• Visual Processing
• Pattern Recognition
• Signal Recognition
• Data Mining 

End Users Covered:
• Consumer Electronics
• Aerospace & Defense
• Industrial
• Automotive
• Medical
• Information Technology (IT) & Telecom
• Financial Services and Cybersecurity
• Smart Infrastructure & Education

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan       
o China       
o India       
o Australia 
o New Zealand
o South Korea
o Rest of Asia Pacific   
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2019, 2020, 2021, 2025, and 2028
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary      
         
2 Preface       

 2.1 Abstract      
 2.2 Stake Holders     
 2.3 Research Scope     
 2.4 Research Methodology    
  2.4.1 Data Mining    
  2.4.2 Data Analysis    
  2.4.3 Data Validation    
  2.4.4 Research Approach    
 2.5 Research Sources     
  2.5.1 Primary Research Sources   
  2.5.2 Secondary Research Sources   
  2.5.3 Assumptions    
        
3 Market Trend Analysis     
 3.1 Introduction     
 3.2 Drivers      
 3.3 Restraints      
 3.4 Opportunities     
 3.5 Threats      
 3.6 Application Analysis     
 3.7 End User Analysis     
 3.8 Emerging Markets     
 3.9 Impact of Covid-19     
        
4 Porters Five Force Analysis     
 4.1 Bargaining power of suppliers    
 4.2 Bargaining power of buyers    
 4.3 Threat of substitutes     
 4.4 Threat of new entrants    
 4.5 Competitive rivalry     
        
5 Global Neuromorphic Chip Market, By Class   
 5.1 Introduction     
 5.2 Biology-Based Learning Models    
 5.3 Artificial Neural Networks    
         
6 Global Neuromorphic Chip Market, By Offering   
 6.1 Introduction     
 6.2 Hardware      
  6.2.1 Processor     
  6.2.2 Memory     
 6.3 Software      
        
7 Global Neuromorphic Chip Market, By Application   
 7.1 Introduction     
 7.2 Image Recognition     
 7.3 Visual Processing     
 7.4 Pattern Recognition     
 7.5 Signal Recognition     
 7.6 Data Mining     
        
8 Global Neuromorphic Chip Market, By End User   
 8.1 Introduction     
 8.2 Consumer Electronics     
  8.2.1 Facial Recognition    
  8.2.2 Gaming     
 8.3 Aerospace & Defense    
  8.3.1 Homeland Security    
  8.3.2 Law Enforcement    
 8.4 Industrial      
  8.4.1 Offshore Fish Inspection   
  8.4.2 Bottle Filling Level Inspection   
  8.4.3 Glass Surface Detect Detection   
  8.4.4 Robotics     
  8.4.5 Surveillance    
  8.4.6 Internet of Things (IoT) Ecosystem  
 8.5 Automotive     
  8.5.1 Target Tracking    
  8.5.2 Vehicle License Plate Recognition  
  8.5.3 Advanced Driver-Assistance Systems (ADAS)/Autonomous Vehicles
 8.6 Medical      
 8.7 Information Technology (IT) & Telecom   
 8.8 Financial Services and Cybersecurity   
 8.9 Smart Infrastructure & Education   
        
9 Global Neuromorphic Chip Market, By Geography    
 9.1 Introduction     
 9.2 North America     
  9.2.1 US     
  9.2.2 Canada     
  9.2.3 Mexico     
 9.3 Europe      
  9.3.1 Germany     
  9.3.2 UK     
  9.3.3 Italy     
  9.3.4 France     
  9.3.5 Spain     
  9.3.6 Rest of Europe    
 9.4 Asia Pacific     
  9.4.1 Japan     
  9.4.2 China     
  9.4.3 India     
  9.4.4 Australia     
  9.4.5 New Zealand    
  9.4.6 South Korea    
  9.4.7 Rest of Asia Pacific    
 9.5 South America     
  9.5.1 Argentina     
  9.5.2 Brazil     
  9.5.3 Chile     
  9.5.4 Rest of South America   
 9.6 Middle East & Africa     
  9.6.1 Saudi Arabia    
  9.6.2 UAE     
  9.6.3 Qatar     
  9.6.4 South Africa    
  9.6.5 Rest of Middle East & Africa   
        
10 Key Developments       
 10.1 Agreements, Partnerships, Collaborations and Joint Ventures 
 10.2 Acquisitions & Mergers    
 10.3 New Product Launch     
 10.4 Expansions     
 10.5 Other Key Strategies     
        
11 Company Profiling      
 11.1 IBM Corporation      
 11.2 Hewlett Packard Enterprise Development LP (HPE)  
 11.3 Lockheed Martin Corporation    
 11.4 Samsung Electronics Co. Ltd    
 11.5 Intel Corporation     
 11.6 Qualcomm Technologies, Inc    
 11.7 SynSense AG     
 11.8 BrainChip Holdings Ltd    
 11.9 Nepes Corporation     
 11.10 Vicarious FPC Inc     
 11.11 Gyrfalcon Technology Inc    
 11.12 General Vision     
 11.13 Hrl Laboratories, LLC     
 11.14 GrAI Matter Labs     
 11.15 SK Hynix Inc     


List of Tables        
1 Global Neuromorphic Chip Market Outlook, By Region (2019-2028) ($MN) 
2 Global Neuromorphic Chip Market Outlook, By Class (2019-2028) ($MN) 
3 Global Neuromorphic Chip Market Outlook, By Biology-Based Learning Models (2019-2028) ($MN)
4 Global Neuromorphic Chip Market Outlook, By Artificial Neural Networks (2019-2028) ($MN)
5 Global Neuromorphic Chip Market Outlook, By Offering (2019-2028) ($MN) 
6 Global Neuromorphic Chip Market Outlook, By Hardware (2019-2028) ($MN)
7 Global Neuromorphic Chip Market Outlook, By Processor (2019-2028) ($MN)
8 Global Neuromorphic Chip Market Outlook, By Memory (2019-2028) ($MN) 
9 Global Neuromorphic Chip Market Outlook, By Software (2019-2028) ($MN) 
10 Global Neuromorphic Chip Market Outlook, By Application (2019-2028) ($MN)
11 Global Neuromorphic Chip Market Outlook, By Image Recognition (2019-2028) ($MN)
12 Global Neuromorphic Chip Market Outlook, By Visual Processing (2019-2028) ($MN)
13 Global Neuromorphic Chip Market Outlook, By Pattern Recognition (2019-2028) ($MN)
14 Global Neuromorphic Chip Market Outlook, By Signal Recognition (2019-2028) ($MN)
15 Global Neuromorphic Chip Market Outlook, By Data Mining (2019-2028) ($MN)
16 Global Neuromorphic Chip Market Outlook, By End User (2019-2028) ($MN) 
17 Global Neuromorphic Chip Market Outlook, By Consumer Electronics (2019-2028) ($MN)
18 Global Neuromorphic Chip Market Outlook, By Facial Recognition (2019-2028) ($MN)
19 Global Neuromorphic Chip Market Outlook, By Gaming (2019-2028) ($MN) 
20 Global Neuromorphic Chip Market Outlook, By Aerospace & Defense (2019-2028) ($MN)
21 Global Neuromorphic Chip Market Outlook, By Homeland Security (2019-2028) ($MN)
22 Global Neuromorphic Chip Market Outlook, By Law Enforcement (2019-2028) ($MN)
23 Global Neuromorphic Chip Market Outlook, By Industrial (2019-2028) ($MN) 
24 Global Neuromorphic Chip Market Outlook, By Offshore Fish Inspection (2019-2028) ($MN)
25 Global Neuromorphic Chip Market Outlook, By Bottle Filling Level Inspection (2019-2028) ($MN)
26 Global Neuromorphic Chip Market Outlook, By Glass Surface Detect Detection (2019-2028) ($MN)
27 Global Neuromorphic Chip Market Outlook, By Robotics (2019-2028) ($MN) 
28 Global Neuromorphic Chip Market Outlook, By Surveillance (2019-2028) ($MN)
29 Global Neuromorphic Chip Market Outlook, By Internet of Things (IoT) Ecosystem (2019-2028) ($MN)
30 Global Neuromorphic Chip Market Outlook, By Automotive (2019-2028) ($MN)
31 Global Neuromorphic Chip Market Outlook, By Target Tracking (2019-2028) ($MN)
32 Global Neuromorphic Chip Market Outlook, By Vehicle License Plate Recognition (2019-2028) ($MN)
33 Global Neuromorphic Chip Market Outlook, By Advanced Driver-Assistance Systems (ADAS)/Autonomous Vehicles (2019-2028) ($MN)
34 Global Neuromorphic Chip Market Outlook, By Medical (2019-2028) ($MN) 
35 Global Neuromorphic Chip Market Outlook, By Information Technology (IT) & Telecom (2019-2028) ($MN)
36 Global Neuromorphic Chip Market Outlook, By Financial Services and Cybersecurity (2019-2028) ($MN)
37 Global Neuromorphic Chip Market Outlook, By Smart Infrastructure & Education (2019-2028) ($MN)
        
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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