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Global Neuromorphic Computing Market With COVID-19 Impact by Offering, Deployment, Application (Image Recognition, Signal Recognition, Data Mining), Vertical (Aerospace, Military, & Defense, Automotive, Medical) and Geography - Forecast to 2026

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    Report

  • 212 Pages
  • May 2021
  • Region: Global
  • Markets and Markets
  • ID: 5321663

The neuromorphic computing market is expected to be valued at USD 22,743 thousand in 2021 and is expected to reach USD 550,593 thousand by 2026, at a CAGR of 89.1% between 2021 and 2026.

The need for better performing ICs, increase in demand for artificial intelligence and machine learning, and increasing number of cross-industry partnerships and collaborations are key factors driving the growth of the market. Artificial intelligence (AI) is being adopted in industries such as medical, media, entertainment, telecom, utility, aerospace, military, consumer devices, food & beverages, and piping.

A combination of AI systems and machine learning is set to revolutionize the business environment with smart decisions. However, lack of knowledge about neuromorphic computing and complex algorithms increasing complexity of designing hardware of neuromorphic chips can act as a major challenge in the market during the forecast period.



Edge Computing will have highest growth in coming years

The edge computing segment is expected to account for a 95% share of the overall neuromorphic computing market by 2026. The high growth of edge computing segment is attributed its increasing use in applications such as responsive voice control for vehicles, full-body gesture recognition for touchless interfaces, and on-board intelligence for assistive robotics.

Neuromorphic computing at edge is also apt for low-power and low-latency applications, and on-device adaptation.

Aerospace, military, & defense vertical is expected to hold the largest share in 2026

Neuromorphic computing can process information faster than any other processor; this helps the military & defense industry in processing sensitive data such as battlefield data, including weapons and resources management.

Increasing requirement for testing and transmitting signals to securely code and transmit data from one end to another to reduce the threat of security issues is another factor driving the growth of the neuromorphic computing market for the aerospace, military, & defense industry.

APAC is attributed to grow at the highest CAGR in the neuromorphic computing market during the forecast period (2021-2026)

APAC is expected to hold the second-largest share of ~37% of the global neuromorphic computing market in 2021. Countries such as China, Japan, and South Korea are expected to be the major contributors to the neuromorphic computing market in APAC.

China is the largest market for AI, followed by Japan, in APAC; this makes the country an attractive market for neuromorphic computing for machine learning and NLP applications.

The primaries are broken down as follows:


  • By Company Type: Tier 1 - 50%, Tier 2 - 30%, and Tier 3 - 20%
  • By Designation: C-level Executives - 30%, Director Level - 30%, and Others - 40%
  • By Region: North America - 30%, Europe - 25%, APAC - 40%, and RoW - 5%

The neuromorphic computing market was dominated by Intel Corp. (US), IBM Corporation (US), BrainChip Holdings Ltd. (US), Qualcomm (US) and HP Enterprise (US).

Research Coverage

This research report categorizes the neuromorphic computing market by offering, deployment, application, vertical and region. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the neuromorphic computing market and forecasts the same till 2026.

Reasons to Buy the Report

The report will help leaders/new entrants in this market in the following ways:


  • This report segments the neuromorphic computing market comprehensively and provides the closest market size projection for all subsegments across different regions.
  • The report helps stakeholders understand the pulse of the market and provides them with information on key drivers, restraints, challenges, and opportunities for market growth.
  • This report would help stakeholders understand their competitors better and gain more insights to improve their position in the business. The competitive landscape section includes product launches and developments, collaborations and acquisitions.
  • This report would help understand the pre and post-COVID-19 scenarios as to how would the penetration of neuromorphic computing will look like for the forecast period. The region segment includes the country wise impact analysis of COVID-19 and initiatives taken to overcome these impacts.

Table of Contents

1 Introduction
1.1 Study Objectives
1.2 Market Definition
1.2.1 Inclusions and Exclusions
1.3 Study Scope
1.3.1 Markets Covered
Figure 1 Neuromorphic Computing Market
1.3.2 Geographic Scope
1.3.3 Years Considered
1.4 Currency
1.5 Volume Unit
1.6 Limitations
1.7 Stakeholders
1.8 Summary of Changes
2 Research Methodology
2.1 Research Data
Figure 2 Neuromorphic Computing Market: Research Design
2.1.1 Secondary Data
2.1.1.1 Major Secondary Sources
2.1.1.2 Key Data from Secondary Sources
2.1.2 Primary Data
2.1.2.1 Primary Interviews with Experts
2.1.2.2 Key Data from Primary Sources
2.1.2.3 Key Industry Insights
2.1.2.4 Breakdown of Primaries
2.1.3 Secondary and Primary Research
2.2 Market Size Estimation
Figure 3 Research Flow of Market Size Estimation
2.2.1 Bottom-Up Approach
Figure 4 Market Size Estimation Methodology (Supply Side): Revenue from Sales of Neuromorphic Computing Products and Solutions
Figure 5 Market Size Estimation Methodology: Bottom-Up Approach
2.2.2 Top-Down Approach
Figure 6 Market Size Estimation Methodology: Top-Down Approach
2.3 Market Breakdown and Data Triangulation
Figure 7 Data Triangulation
2.4 Research Assumptions
2.5 Risk Assessment
Table 1 Risk Factor Analysis
2.6 Forecasting Assumptions
2.7 Competitive Leadership Mapping Methodology
Table 2 Evaluation Criteria
2.7.1 Vendor Inclusion Criteria
2.8 Limitations of the Study
3 Executive Summary
Figure 8 Hardware Offering Segment to Lead Neuromorphic Computing Market During 2021-2026
Figure 9 Image Recognition Application is Expected to Hold Largest Share of Market During 2021-2026
Figure 10 Aerospace, Military & Defense Vertical to Hold Largest of Market During Forecast Period
Figure 11 Edge Computing to Lead Market, by Deployment, During Forecast Period
Figure 12 Market in Asia-Pacific to Register Highest CAGR During Forecast Period
3.1 Impact Analysis of COVID-19 on Market
Figure 13 Market Size in Optimistic, Pessimistic, and Realistic Scenarios
Table 3 Neuromorphic Market, by Scenario, 2018-2026 (USD Thousand)
3.1.1 Optimistic Scenario
3.1.2 Realistic Scenario
3.1.3 Pessimistic Scenario
4 Premium Insights
4.1 Attractive Opportunities in Neuromorphic Computing Market
Figure 14 Market to Witness Significant Growth Between 2021 and 2026
4.2 Market, by Offering
Figure 15 Hardware is Expected to Dominate Market Between 2021 and 2026
4.3 Market, by Application
Figure 16 Image Recognition Expected to Hold Largest Share of Market by 2026
4.4 Neuromorphic Computing Market, by Industry
Figure 17 Aerospace, Military & Defense to Hold Largest Share of Market by 2026
4.5 Market, by Region (2021)
Figure 18 North America is Likely to Hold Largest Share of Market Between 2021 and 2026
5 Market Overview
5.1 Introduction
5.2 Evolution
Figure 19 Architectural Difference: Von Neumann Vs. Neural Network
Figure 20 Biological Inspiration of Neuromorphic Design by Carver Mead in 1990
5.3 Market Dynamics
Figure 21 Neuromorphic Computing: Market Dynamics
5.3.1 Drivers
5.3.1.1 New Ways of Computation Possible Due to End of Moore's Law
Figure 22 Cost Per Transistor for a Single IC Chip Has Increased After Launch of 28Nm Semiconductor Device Fabrication Technology
5.3.1.2 Need for Better-Performing ICs
5.3.1.3 Increase in Demand for Artificial Intelligence and Machine Learning
Figure 23 Machine-To-Machine Connections Market, 2014-2026
Figure 24 Artificial Intelligence Market, 2014-2026 (USD Million)
5.3.1.4 Cross-Industry Partnerships and Collaborations
5.3.2 Restraints
5.3.2.1 Lack of R&D and Investments is Slowing Down Development of Real-World Applications
5.3.2.2 Complex Algorithms Increase Complexity of Designing Hardware of Neuromorphic Chips
5.3.2.3 Lack of Knowledge About Neuromorphic Computing
5.3.3 Opportunities
5.3.3.1 Emerging Applications Pertaining to Automation
Figure 25 Machine Learning Market, 2014-2026 (USD Million)
5.3.3.2 Adoption of Neuromorphic Computing for Security Purposes
5.3.3.3 Growing Potential of Ai and Neuromorphic Computing in Medical Science and Medical Imaging
5.3.4 Challenges
5.3.4.1 Applications Dependent on Software Compatibility of Neural Hardware
Table 4 Software Comparison: Conventional vs Neuromorphic Chips
5.3.4.2 Matching a Human's Flexibility and Ability to Learn from Unstructured Stimuli Data
5.4 Value Chain Analysis
Figure 26 Design and Fabrication, Testing, and Packaging Phases Contribute Major Value to Neuromorphic Computing Market
5.4.1 Core Industry Segments
5.4.1.1 Research and Product Development
5.4.1.2 Design
5.4.1.3 Fabrication, Packaging, and Testing
5.4.1.4 Manufacturing and Assembly
5.4.1.5 Marketing and Sales
5.4.1.6 End-Users
5.5 Porter's Five Forces Analysis of Neuromorphic Computing Market, 2021
Figure 27 Overview of Porter's Five Forces Analysis for Market (2021)
Figure 28 Market: Porter's Five Forces Analysis
Table 5 Impact of Porter's Five Force on Market
5.5.1 Bargaining Power of Suppliers
Figure 29 Medium Impact of Bargaining Power of Suppliers on Market
5.5.2 Bargaining Power of Buyers
Figure 30 Low Impact of Bargaining Power of Buyers on Market
5.5.3 Threat of Substitutes
Figure 31 Medium Impact of Threat of Substitutes on Market
5.5.4 Threat of New Entrants
Figure 32 Low Impact of Threat of New Entrants on Neuromorphic Computing Market
5.5.5 Degree of Competition
Figure 33 High Impact of Degree of Competition on Market
5.6 Market Ecosystem
Table 6 Market Ecosystem
Figure 34 Market Ecosystem
5.7 Use Case Analysis
5.7.1 Intel's Pohoiki's Springs System Showed How a Neuromorphic Chip Can Pick Out Smells with a Small Training Sample
5.7.2 IBM Launched TrueNorth Synapse Neuromorphic Integrated Chip Having 256 Programmable Neurons
5.7.3 BrainChip Inc Developed a Hardware Version of Biological Neuron
5.7.4 Applied Brain Research Studied Energy-Efficiency of Nengo Deep Learning Toolkit
5.7.5 Neuromorphic Technology Used to Make Efficient Artificial Intelligence Onboard for Self-Driving and Self-Parking in Automobiles
5.8 Industry Trends
Figure 35 Emerging Trends in Neuromorphic Computing Market
5.9 Pricing Analysis
Figure 36 Average Selling Price of Neuromorphic Chips
5.10 Patents Analysis
Table 7 Important Patents Related to Neuromorphic Computing Solutions
5.11 Trade Analysis
Table 8 Exports Data, by Country, 2015-2019 (USD Million)
Figure 37 Exports Data for Hs Code 854231 for Top Five Countries in Market, 2015-2019 (Thousand Units)
Table 9 Imports Data, by Country, 2015-2019 (USD Million)
Figure 38 Imports Data for Hs Code 854231 for Top Five Countries in Market, 2015-2019 (Thousand Units)
6 Neuromorphic Computing Market, by Offering
6.1 Introduction
Figure 39 Neuromorphic Computing Market, by Offering
Figure 40 Neuromorphic Computing Hardware Market to Grow at a Higher Rate Between 2021 and 2026
Table 10 Market, by Offering, 2018-2020 (USD Thousand)
Table 11 Market, by Offering, 2021-2026 (USD Thousand)
6.2 Hardware
6.2.1 High Parallel Processing Capabilities and Improved Computing Power Have Resulted in Adoption of Processors
Figure 41 Neuromorphic Computing Hardware Chip Market, 2018-2026 (Thousand Units)
Table 12 Neuromorphic Computing Hardware Chip Market, 2018-2020 (Thousand Units)
Table 13 Neuromorphic Computing Hardware Chip Market, 2021-2026 (Thousand Units)
6.3 Software
6.3.1 Software Are Time-Based Learning Algorithms That Complement Neuromorphic Chips by Storing and Recalling Spatial and Temporal Patterns.
7 Neuromorphic Computing Market, by Deployment
7.1 Introduction
Figure 42 Neuromorphic Computing Market, by Deployment
Figure 43 Edge Computing Segment to Account for Larger Market Share by 2026
Table 14 Market, by Deployment, 2018-2020 (USD Thousand)
Table 15 Market, by Deployment, 2021-2026 (USD Thousand)
7.2 Edge Computing
7.2.1 Neuromorphic Deployment at Edge is Best Suited for Low-Power and Low-Latency Applications, and On-Device Adaptation
7.3 Cloud Computing
7.3.1 Cloud Computing Involves Decentralized Applications Running in Data Centers
8 Neuromorphic Computing Market, by Application
8.1 Introduction
Figure 44 Market, by Application
Figure 45 Market for Data Mining Application to Grow at Highest CAGR Between 2021 and 2026
Table 16 Market, by Application, 2018-2020 (USD Thousand)
Table 17 Market, by Application, 2021-2026 (USD Thousand)
8.2 Image Recognition
Table 18 Neuromorphic Computing Market for Image Recognition, by Application Type, 2018-2020 (USD Thousand)
Table 19 Market for Image Recognition, by Application Type, 2021-2026 (USD Thousand)
Table 20 Market for Image Recognition, by Offering, 2018-2020 (USD Thousand)
Table 21 Market for Image Recognition, by Offering, 2021-2026 (USD Thousand)
Table 22 Neuromorphic Computing Market for Image Recognition, by Industry, 2018-2020 (USD Thousand)
Table 23 Market for Image Recognition, by Industry, 2021-2026 (USD Thousand)
8.3 Signal Recognition
Table 24 Market for Signal Recognition, by Application Type, 2018-2020 (USD Thousand)
Table 25 Market for Signal Recognition, by Application Type, 2021-2026 (USD Thousand)
Table 26 Market for Signal Recognition, by Offering, 2018-2020 (USD Thousand)
Table 27 Neuromorphic Computing Market for Signal Recognition, by Offering, 2021-2026 (USD Thousand)
Table 28 Market for Signal Recognition, by Industry, 2018-2020 (USD Thousand)
Table 29 Market for Signal Recognition, by Industry, 2021-2026 (USD Thousand)
8.4 Data Mining
Table 30 Market for Data Mining, by Application Type, 2018-2020 (USD Thousand)
Table 31 Market for Data Mining, by Application Type, 2021-2026 (USD Thousand)
Table 32 Market for Data Mining, by Offering, 2018-2020 (USD Thousand)
Table 33 Market for Data Mining, by Offering, 2021-2026 (USD Thousand)
Table 34 Neuromorphic Computing Market for Data Mining, by Industry, 2018-2020 (USD Thousand)
Table 35 Market for Data Mining, by Industry, 2021-2026 (USD Thousand)
9 Neuromorphic Computing Market, by Vertical
9.1 Introduction
Figure 46 Market, by Vertical
Figure 47 Aerospace, Military & Defense Vertical to Hold Largest Share of Market Between 2021 and 2026
Table 36 Market, by Vertical, 2018-2020 (USD Thousand)
Table 37 Neuromorphic Computing Market, by Vertical, 2021-2026 (USD Thousand)
9.2 Aerospace, Military & Defense
9.2.1 Growing Use of Neuromorphic Chips in Processing of Battlefield Data to Drive Growth of Market
Table 38 Market for Aerospace Military & Defense Vertical, by Application, 2018-2020 (USD Thousand)
Table 39 Market for Aerospace, Military & Defense Vertical, by Application, 2021-2026 (USD Thousand)
Table 40 Market for Aerospace, Military & Defense Vertical, by Region, 2018-2020 (USD Thousand)
Table 41 Market for Aerospace, Military & Defense Vertical, by Region, 2021-2026 (USD Thousand)
9.3 Automotive
9.3.1 Automated Driving Using Ai is Trending in Automotive Vertical
9.3.1.1 Advanced Driver Assistance System (ADAS)
9.3.1.2 Autonomous Vehicle
Table 42 Market for Automotive Vertical, by Application, 2018-2020 (USD Thousand)
Table 43 Neuromorphic Computing Market for Automotive Vertical, by Application, 2021-2026 (USD Thousand)
Table 44 Market for Automotive Vertical, by Region, 2018-2020 (USD Thousand)
Table 45 Market for Automotive Vertical, by Region, 2021-2026 (USD Thousand)
9.4 Consumer Electronics
9.4.1 Real-Time Applications in Consumer Drones and Smart Homes Are Driving Growth of Market for Consumer Electronics Vertical
9.4.1.1 Consumer Drones and Smart Homes
Table 46 Market for Consumer Electronics Vertical, by Application, 2018-2020 (USD Thousand)
Table 47 Neuromorphic Computing Market for Consumer Electronics Vertical, by Application, 2021-2026 (USD Thousand)
Table 48 Market for Consumer Electronics Vertical, by Region, 2018-2020 (USD Thousand)
Table 49 Market for Consumer Electronics Vertical, by Region, 2021-2026 (USD Thousand)
9.5 Industrial
9.5.1 Benefits Associated with Neuromorphic Computing in Designing and Planning Stages of Manufacturing Processes to Boost Market Growth
9.5.1.1 Machine Vision
9.5.1.2 Manufacturing
Table 50 Market for Industrial Vertical, by Application, 2018-2020 (USD Thousand)
Table 51 Neuromorphic Computing Market for Industrial Vertical, by Application, 2021-2026 (USD Thousand)
Table 52 Market for Industrial Vertical, by Region, 2018-2020 (USD Thousand)
Table 53 Market for Industrial Vertical, by Region, 2021-2026 (USD Thousand)
9.6 Medical
9.6.1 Increasing Patient Data is Fueling Adoption Rate of Neuromorphic Computing in Medical Vertical
9.6.1.1 Diagnostic Imaging
9.6.1.2 Physical Simulation and Computation Biology
Table 54 Neuromorphic Computing Market for Medical Vertical, by Application, 2018-2020 (USD Thousand)
Table 55 Market for Medical Vertical, by Application, 2021-2026 (USD Thousand)
Table 56 Market for Medical Vertical, by Region, 2018-2020 (USD Thousand)
Table 57 Market for Medical Vertical, by Region, 2021-2026 (USD Thousand)
9.7 It & Telecommunication
9.7.1 Growing Use of Neuromorphic Computing in Applications Such as Image Recognition, Data Mining, and Data Analytics to Drive Growth of It & Telecommunication Vertical
9.7.1.1 Enterprise Content Management
9.7.1.2 Intelligent Character Recognition
Table 58 Neuromorphic Computing Market for It & Telecommunication Vertical, by Application, 2018-2020 (USD Thousand)
Table 59 Market for It & Telecommunication Vertical, by Application, 2021-2026 (USD Thousand)
Table 60 Market for It & Telecommunication Vertical, by Region, 2018-2020 (USD Thousand)
Table 61 Market for It & Telecommunication Vertical, by Region, 2021-2026 (USD Thousand)
9.8 Others
Table 62 Market for Others Vertical, by Application, 2018-2020 (USD Thousand)
Table 63 Market for Others Vertical, by Application, 2021-2026 (USD Thousand)
Table 64 Market for Others Vertical, by Region, 2018-2020 (USD Thousand)
Table 65 Neuromorphic Computing Market for Others Vertical, by Region, 2021-2026 (USD Thousand)
10 Geographic Analysis
10.1 Introduction
Figure 48 Geographic Snapshot: India, China, Canada, Mexico, and France to Witness Highest Growth from 2021 to 2026
Figure 49 Market in APAC to Grow at Highest CAGR from 2020 to 2026
Table 66 Market, by Region, 2018-2020 (USD Thousand)
Table 67 Market, by Region, 2021-2026 (USD Thousand)
10.2 North America
Figure 50 Snapshot of Neuromorphic Computing Market in North America
Table 68 Market in North America, by Country, 2018-2020 (USD Thousand)
Table 69 Market in North America, by Country, 2021-2026 (USD Thousand)
Table 70 Market in North America, by Vertical, 2018-2020 (USD Thousand)
Table 71 Market in North America, by Vertical, 2021-2026 (USD Thousand)
10.2.1 US
10.2.1.1 US Leads in Terms of Adoption of Neuromorphic Computing in Various End-User Industries
Table 72 Market in US, by Vertical, 2018-2020 (USD Thousand)
Table 73 Market in US, by Vertical, 2021-2026 (USD Thousand)
10.2.2 Canada
10.2.2.1 Government Funding and Extensive Startup Activities, Especially in Ai, Are Supporting Growth of Ai in Canada
Table 74 Market in Canada, by Vertical, 2018-2020 (USD Thousand)
Table 75 Neuromorphic Computing Market in Canada, by Vertical, 2021-2026 (USD Thousand)
10.2.3 Mexico
10.2.3.1 Increase in Productivity and Reduction in Cost Are Leading to Adoption of Neuromorphic Computing in Various End-Use Industries in Mexico
Table 76 Market in Mexico, by Vertical, 2018-2020 (USD Thousand)
Table 77 Market in Mexico, by Vertical, 2021-2026 (USD Thousand)
10.3 Europe
Figure 51 Snapshot of Neuromorphic Computing Market in Europe
Table 78 Market in Europe, by Country, 2018-2020 (USD Thousand)
Table 79 Market in Europe, by Country, 2021-2026 (USD Thousand)
Table 80 Market in Europe, by Vertical, 2018-2020 (USD Thousand)
Table 81 Market in Europe, by Vertical, 2021-2026 (USD Thousand)
10.3.1 Germany
10.3.1.1 Medical and Automotive Industries Are Attractive Markets for Neuromorphic Computing in Germany
Table 82 Market in Germany, by Vertical, 2018-2020 (USD Thousand)
Table 83 Neuromorphic Computing Market in Germany, by Vertical, 2021-2026 (USD Thousand)
10.3.2 UK
10.3.2.1 Aerospace, Military & Defense, It & Telecom, and Automotive Are Major Verticals for Neuromorphic Computing in UK
Table 84 Neuromorphic Computing Market in UK, by Vertical, 2018-2020 (USD Thousand)
Table 85 Market in UK, by Vertical, 2021-2026 (USD Thousand)
10.3.3 France
10.3.3.1 Increasing Funding and Rising Number of Ai Startups Are Expected to Boost Penetration of Ai in France
Table 86 Market in France, by Vertical, 2018-2020 (USD Thousand)
Table 87 Market in France, by Vertical, 2021-2026 (USD Thousand)
10.3.4 Italy
10.3.4.1 Automotive Vertical is Driving Adoption of Ai in Italy
Table 88 Neuromorphic Computing Market in Italy, by Vertical, 2018-2020 (USD Thousand)
Table 89 Market in Italy, by Vertical, 2021-2026 (USD Thousand)
10.3.5 Spain
10.3.5.1 Automotive Vertical is Expected to Contribute Significantly to Market in Spain
Table 90 Market in Spain, by Vertical, 2018-2020 (USD Thousand)
Table 91 Market in Spain, by Vertical, 2021-2026 (USD Thousand)
10.3.6 Rest of Europe
Table 92 Market in Rest of Europe, by Vertical, 2018-2020 (USD Thousand)
Table 93 Neuromorphic Computing Market in Rest of Europe, by Vertical, 2021-2026 (USD Thousand)
10.4 APAC
Figure 52 Snapshot of Market in Asia-Pacific
Table 94 Market in APAC, by Country, 2018-2020 (USD Thousand)
Table 95 Market in APAC, by Country, 2021-2026 (USD Thousand)
Table 96 Market in APAC, by Vertical, 2018-2020 (USD Thousand)
Table 97 Neuromorphic Computing Market in APAC, by Vertical, 2021-2026 (USD Thousand)
10.4.1 China
10.4.1.1 China is Largest Market Globally for Image Recognition and Signal Recognition Applications
Table 98 Market in China, by Vertical, 2018-2020 (USD Thousand)
Table 99 Market in China, by Vertical, 2021-2026 (USD Thousand)
10.4.2 Japan
10.4.2.1 Aerospace, Military & Defense and It & Telecom Are Key Industries in Japan for Market
Table 100 Market in Japan, by Vertical, 2018-2020 (USD Thousand)
Table 101 Market in Japan, by Vertical, 2021-2026 (USD Thousand)
10.4.3 South Korea
10.4.3.1 South Korean Economy is Majorly Driven by Consumer Electronics and Automotive Industries
Table 102 Neuromorphic Computing Market in South Korea, by Vertical, 2018-2020 (USD Thousand)
Table 103 Market in South Korea, by Vertical, 2021-2026 (USD Thousand)
10.4.4 India
10.4.4.1 Potential Market for Neuromorphic Computing with Rapid Progression Toward Becoming a Manufacturing Hub
Table 104 Market in India, by Vertical, 2018-2020 (USD Thousand)
Table 105 Market in India, by Vertical, 2021-2026 (USD Thousand)
10.4.5 Rest of APAC
Table 106 Market in Rest of APAC, by Vertical, 2018-2020 (USD Thousand)
Table 107 Market in Rest of APAC, by Vertical, 2021-2026 (USD Thousand)
10.5 RoW
Table 108 Neuromorphic Computing Market in RoW, by Region, 2018-2020 (USD Thousand)
Table 109 Market in RoW, by Region, 2021-2026 (USD Thousand)
Table 110 Market in RoW, by Vertical, 2018-2020 (USD Thousand)
Table 111 Market in RoW, by Vertical, 2021-2026 (USD Thousand)
10.5.1 Middle East & Africa
10.5.1.1 Countries Such as South Africa and UAE Are Contributing to Growth of Neuromorphic Computing Market in MEA
Table 112 Market in Middle East & Africa, by Vertical, 2018-2020 (USD Thousand)
Table 113 Market in Middle East & Africa, by Vertical, 2021-2026 (USD Thousand)
10.5.2 South America
10.5.2.1 Increasing Adoption of Image and Signal Recognition Applications for Security and Surveillance Purposes is Driving Market Growth in South America
Table 114 Market in In South America, by Vertical, 2018-2020 (USD Thousand)
Table 115 Neuromorphic Computing Market in In South America, by Vertical, 2021-2026 (USD Thousand)
11 Competitive Landscape
11.1 Overview
11.2 Revenue Analysis for Market, 2020
Table 116 Top Five Players in Market, 2016-2020 (USD Billion)
11.3 Market Share Analysis, 2020
Figure 53 Share of Major Players in Market, 2020
Table 117 Neuromorphic Computing Market: Market Share Analysis (2020)
11.4 Ranking of Key Players in Market
Figure 54 Market: Ranking of Key Players, 2020
11.5 Company Evaluation Quadrant
11.5.1 Star
11.5.2 Pervasive
11.5.3 Emerging Leader
11.5.4 Participant
Figure 55 Neuromorphic Computing Market: Company Evaluation Quadrant, 2020
11.6 Startup/SME Evaluation Quadrant
11.6.1 Progressive Company
11.6.2 Responsive Company
11.6.3 Dynamic Company
11.6.4 Starting Block
Figure 56 Neuromorphic Computing Market: Startup/SME Evaluation Quadrant, 2020
11.7 Market: Company Footprint
Table 118 Footprint of Companies
Table 119 Application Footprint of Companies
Table 120 Product Footprint of Companies
Table 121 Regional Footprint of Companies
11.8 Competitive Scenario
Figure 57 Market Evaluation Framework: Product Launches/Developments, Collaborations, and Acquisitions Were Majorly Adopted by Market Players from 2017 to 2021
11.9 Competitive Situations and Trends
11.9.1 Product Launches
Table 122 Neuromorphic Computing Market: Product Launches, 2017-2021
11.9.2 Deals
Table 123 Market: Deals, 2017-2021
12 Company Profiles
(Business Overview, Products Offered, Recent Developments, and Analyst's View (Key Strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats))*
12.1 Key Players
12.1.1 Intel Corporation
Table 124 Intel Corporation: Business Overview
Figure 58 Intel Corporation: Company Snapshot
12.1.2 IBM Corporation
Table 125 IBM Corporation: Business Overview
Figure 59 IBM Corporation: Company Snapshot
12.1.3 BrainChip Holdings Ltd.
Table 126 BrainChip Holdings Ltd: Business Overview
Figure 60 BrainChip Holdings Ltd: Company Snapshot
12.1.4 Qualcomm
Table 127 Qualcomm: Business Overview
Figure 61 Qualcomm: Company Snapshot
12.1.5 Hewlett Packard Enterprise
Table 128 Hewlett Packard Enterprise: Business Overview
Figure 62 Hewlett Packard Enterprise: Company Snapshot
12.1.6 Samsung Electronics Limited
Table 129 Samsung Electronics Limited: Business Overview
Figure 63 Samsung Electronics Limited: Company Snapshot
12.1.7 HRL Laboratories, LLC
12.1.8 General Vision Inc.
12.1.9 Applied Brain Research, Inc.
12.1.10 Vicarious
12.2 Other Companies
12.2.1 Numenta
12.2.2 Aspinity Inc
12.2.3 BrainCo, Inc
12.2.4 Bitbrain Technologies
12.2.5 Halo Neuroscience
12.2.6 Kernel
12.2.7 NextMind SRL
12.2.8 Cognixion
12.2.9 Neuropace
12.2.10 Mindmaze
12.2.11 Innatera Nanosystems
12.2.12 Memcomputing
12.2.13 Natural Intelligence Systems
12.2.14 Ceryx Medical
12.2.15 Koniku
*Details on Business Overview, Products Offered, Recent Developments, and Analyst's View (Key Strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats) Might Not be Captured in Case of Unlisted Companies.
13 Appendix
13.1 Discussion Guide
13.2 Knowledge Store: the Subscription Portal
13.3 Available Customizations

Executive Summary

Companies Mentioned

  • Applied Brain Research, Inc.
  • Aspinity Inc
  • Bitbrain Technologies
  • BrainChip Holdings Ltd.
  • BrainCo, Inc
  • Ceryx Medical
  • Cognixion
  • General Vision Inc.
  • Halo Neuroscience
  • Hewlett Packard Enterprise
  • HRL Laboratories, LLC
  • IBM Corporation
  • Innatera Nanosystems
  • Intel Corporation
  • Kernel
  • Koniku
  • Memcomputing
  • Mindmaze
  • Natural Intelligence Systems
  • Neuropace
  • NextMind SRL
  • Numenta
  • Qualcomm
  • Samsung Electronics Limited
  • Vicarious

Methodology

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Table Information