Neuromorphic Computing Market

Neuromorphic Computing Market by Offering, Deployment, Application (Image Recognition, Signal Recognition, Data Mining), Vertical (Aerospace, Military, & Defense, Automotive, Medical) and Geography (2021-2026)

Report Code: SE 3744 May, 2021, by marketsandmarkets.com

[218 Pages Report] 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% by 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 by various organizations across key industry verticals such as automotive, aerospace and defense, consumer electronics, healthcare, and piping. AI and machine learning used in tandem revolutionizing several industry sector from the period of last 5 years. However, several factors, such as lack of knowledge about neuromorphic computing and complex algorithms increasing complexity of designing hardware of neuromorphic chips are hindering the growth of neuromorphic computing market. Moreover, matching a human’s flexibility and ability to learn from unstructured stimuli data can act as a key challenge in the market during the forecast period.

Neuromorphic Computing Market

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Impact of Covid-19 on neuromorphic computing market

The COVID-19 pandemic has had a positive impact for market in the medical industry. Various key players in the market such as IBM, Hewlett Packard, and Qualcomm had pushed several for their neuromorphic computing solutions across a plethora of hospitals and clinics across the world. The computing capabilities of their solutions were able to mitigate several problems within a typical hospital ecosystem. Hence, the market for neuromorphic computing in medical industry showcased a positive growth trend in FY 2020 and FY 2021.

However, consumer electronics, comprising products such as smartphones smart homes, have become less of a luxury and more of a necessity. The smart home devices segment, which comprises smart speakers, smart TVs, and other appliances, was impacted, as the production declined due to disruptions in the global supply chain, including China, which is the major hub of OEMs in this segment. However, from the consumers’ perspective, there is a growth in the adoption of smart home devices, which is supporting the growth of the neuromorphic computing market. With work from home (WFH) becoming the new trend due to the pandemic, there is an increase in the supply of and demand for IT peripherals, which is fueling the growth of market in the IT & telecommunication vertical.

Market Dynamics

Drivers : New ways of computation possible due to end of Moore’s law

Moore’s law states that the number of transistors per square inch on integrated circuits will double about every eighteen months until at least 2020. In April 2015, Intel stated that it could keep Moore’s law going for another 10 years by developing 7nm and 5nm fabrication technologies. This indicates that beyond 2023 or 2025, the size of an IC cannot be shrunk with transistor count also doubling, as this would result in reduced space between electron and holes, and lead to problems such as current leakage and overheating in ICs. These problems would lead to slower performance, high power consumption by ICs, and reduced durability. Thus, the need for finding an alternate way to increase the computational power of chips has fueled the development of neuromorphic chips. Biologically inspired models of neuromorphic chips would further offer computational solutions to the electronics industry.

Cross-industry partnerships and collaborations

COVID-19 is playing an important role in boosting the AI in healthcare market, as several companies, including Graphen (New York, US), Alibaba (China), and Google DeepMind (UK), have started developing AI tools to help detect and diagnose the virus. These tools can also track the geographical footprint of the virus and project its future and ribonucleic acid (RNA) sequence to find a vaccine for it. Major industry players, organizations, and healthcare & life science researchers have also come together to find solutions and prepare the way for AI tools to take a larger role in patient care.

In April 2020, Google Cloud partnered with the Laboratory for Modelling of Biological+ Sociotechnical Systems (MoBS) in the Network Science Institute of Northeastern University for running large-scale, data-driven model simulations on Google Cloud. The simulations estimate the spread of infection using dozens of parameters and huge amount of data to track and forecast the spread of COVID-19. Google also offered researchers free access to critical COVID-19 information to further accelerate analytics solutions.

Restraints : Lack of R&D investments is slowing down deployment of real world applications.

Neuromorphic computing was first discovered in the late 1980s; it has been developing at a low rate since then. Extensive R&D for the development of software and hardware is required to manufacture neuromorphic computers. However, existing technologies have put several limitations on the development of hardware and software. Algorithms can only be written for specific hardware. Any new architecture in hardware makes the existing algorithms void. Moreover, scientists are exploring multiple types of neural hardware architecture, such as spin-based, phase-change, and memristor. Each type of development requires specific algorithms to run programs.

Due to these limitations, neuromorphic computing has been developing at a very slow speed over the last four decades. Basic issues such as hardware and software compatibility for large-scale neuromorphic hardware are yet to be resolved by scientists. Hence, to ensure continuity of interest in research initiatives, it is essential to develop and market small-scale neuromorphic chips for immediate market applications such as image processing and speech processing to gain interest and investments from research organizations and business entities.

Software segment is expected to record the highest CAGR during the forecast period.

The software segment for neuromorphic computing market is expected to grow at the highest rate during the forecast period. The neuromorphic computing software is used in a spectrum of applications such as real-time data streaming, data modelling & prediction analysis, continuous e-learning etc. Also, with the deployment of neuromorphic computing capabilities available on cloud several companies across key industry verticals are rapidly adopting the use of neuromorphic computing

Aerospace, Military & Defense segment to account for largest share of market from 2021 to 2026

High speed computation is a crticial requirement in aerospace, military and defense sectors due to sensitivity of data being handled.  Neuromorphic computing can handle processing of data faster than any processor currently available in the market. In battlefield, whether or ground or in air, neuromorphic computing helps in processing enemy movement data and develop simulations based on the data processed. It also helps in accessing capabilities of weapons and other critical equipment being used, giving a better insights about the on-ground situation. Neuromorphic computing is also more secure in transmitting and receiving data due to use of superior encryption algorithms. Hence, the aerospace, military and defense segment is expected to hold largest market share during forecast period.

APAC to witness the highest growth in neuromorphic computing market during the forecast period.

APAC region is mix of developed economies such China, South Korea, and Japan as well as developing economies such as India, Vietnam, Bangladesh etc. The market in China, Japan, and South Korea will contribute a significant market share in the APAC region. Increasing adoption of AI and machine learning technologies in countries across the region, as well as development and expansion of data centers across several cities in the region will propel the growth of the market. In densely populated countries such as China and India, there is a rapid penetration of wearables among youth population living in the urban areas. This is also expected to boost the growth of market in this region.

Neuromorphic Computing Market  by Region

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Key Market Players

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

IBM (US)

IBM is one of the leading players in market in 2020. IBM is an information technology giant. It provides integrated solutions that leverage information technology and knowledge of business processes. In 2011, IBM (US) unveiled TrueNorth, a custom-made, brain-like chip that builds on a simpler experimental system. TrueNorth is equipped with 4,096 processor cores, and it replicates 1 million human neurons and 256 million synapses—two of the fundamental biological building blocks that make up the human brain. It is the largest chip IBM has ever built, having 5.4 billion transistors and an on-chip network of 4,096 neurosynaptic cores.

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Scope of the Report

Report Metric

Details

Market size available for years

2018–2026

Base year

2020

Forecast period

2021–2026

CAGR

89.1%

Segments covered

Offering, deployment, application, vertical and by region

Geographic regions covered

North America, APAC, Europe, and RoW

Companies covered

The companies covered in the neuromorphic computing market are Intel Corp. (US), IBM Corporation (US), BrainChip Holdings Ltd. (US), Qualcomm (US), HP Enterprise (US), Samsung Electronics Ltd. (South Korea), HRL Laboratories, LLC (US), General Vision Inc. (US), Applied Brain Research Inc. (US), and Vicarious (US), Numenta (US), Aspinity, Inc. (US), BrainCo, Inc. (US), Bit Brain Technologies (Spain), Halo Neuroscience (US), Kernel (US), Nextmind SRL (Italy), Cognixion (US), Neuropace (US), Mindmaze (US), Innatera Nanosystems (Netherlands), MemComputing (US), Natural Intelligence Systems (US), Ceryx Medical (UK), and Koniku (US).

 

This report categorizes the neuromorphic computing market based on offering, deployment, application, vertical and region

Neuromorphic Computing Market, By Offering

  • Hardware
    • Processor
    • Memory
  • Software

Neuromorphic Computing Market, By Deployment

  • Edge Computing
  • Cloud Computing

Neuromorphic Computing Market, By Application,

  • Image Recognition
  • Signal Recognition
  • Data Mining

Neuromorphic Computing Market, By Vertical

  • Aerospace, Military, & Defense
  • Automotive
  • Consumer Electronics
  • Industrial
  • Medical
  • IT & Telecommunication
  • Others (Smart Infrastructure & Education)

Geographic Analysis

  • Introduction
  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • Rest of Europe (RoE)
  • Asia Pacific (APAC)
    • China
    • Japan
    • South Korea
    • India
    • Rest of APAC (RoAPAC)
  • Rest of the World (RoW)
    • South America
    • Middle East & Africa

Recent Developments

  • In January 2021, IBM launched an energy-efficient AI chip built with 7nm technology. The AI hardware accelerator chip supports a variety of model types while achieving leading-edge power efficiency. The chip technology can be scaled and used for commercial applications to train large-scale models in the cloud to security and privacy efforts by bringing training closer to the edge and data closer to the source.
  • In October 2020, Intel announced a three-year agreement with Sandia National Laboratories (Sandia), US, to explore the value of neuromorphic computing for scaled-up computational problems. This agreement includes continued large-scale neuromorphic research on Intel’s upcoming next-generation neuromorphic architecture and the delivery of Intel’s largest neuromorphic research system to date, which could exceed more than 1 billion neurons in computational capacity.

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TABLE OF CONTENTS

1 INTRODUCTION (Page No. - 27)
    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 (Page No. - 32)
    2.1 RESEARCH DATA
           FIGURE 2 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 (Page No. - 46)
    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 (Page No. - 53)
    4.1 ATTRACTIVE OPPORTUNITIES IN 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 (Page No. - 56)
    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 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 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 (Page No. - 83)
    6.1 INTRODUCTION
           FIGURE 39 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 MARKET, BY DEPLOYMENT (Page No. - 88)
    7.1 INTRODUCTION
           FIGURE 42 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 (Page No. - 92)
    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 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 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 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 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 (Page No. - 104)
    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 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 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 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 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 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 MARKET FOR OTHERS VERTICAL, BY REGION, 2021–2026 (USD THOUSAND)

10 GEOGRAPHIC ANALYSIS (Page No. - 121)
     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 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 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 EUROMORPHIC 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 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 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 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 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 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 MARKET IN IN SOUTH AMERICA, BY VERTICAL, 2021–2026 (USD THOUSAND)

11 COMPETITIVE LANDSCAPE (Page No. - 158)
     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 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 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 MARKET: PRODUCT LAUNCHES, 2017–2021
             11.9.2 DEALS
                       TABLE 123 MARKET: DEALS, 2017–2021

12 COMPANY PROFILES (Page No. - 176)
(Business Overview, Products Offered, Recent Developments, and MnM 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 MnM 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 (Page No. - 212)
     13.1 DISCUSSION GUIDE
     13.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
     13.3 AVAILABLE CUSTOMIZATIONS
     13.4 RELATED REPORTS
     13.5 AUTHOR DETAILS

The study involved 4 major activities in estimating the current size of the neuromorphic computing market. Exhaustive secondary research has been conducted to collect information about the market, the peer market, and the parent market. Validating findings, assumptions, and sizing with industry experts across the value chain through primary research has been the next step. Both top-down and bottom-up approaches have been employed to estimate the complete market size. After that, market breakdown and data triangulation methods have been used to estimate the market size of segments and subsegments.

Secondary Research

The research methodology used to estimate and forecast the market begins with capturing the data on revenues of the key vendors in the market through secondary research. This study involves the use of extensive secondary sources, directories, and databases, such as Hoovers, Bloomberg Businessweek, Factiva, and OneSource, to identify and collect information useful for the technical and commercial study of the neuromorphic computing market. Secondary sources also include annual reports, press releases, and investor presentations of companies; white papers, certified publications, and articles from recognized authors; directories; and databases. Secondary research has been mainly done to obtain key information about the industry’s supply chain, market’s value chain, total pool of key players, market classification and segmentation according to industry trends, geographic markets, and key developments from both market- and technology oriented perspectives.

Primary Research

In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain the qualitative and quantitative information relevant to the market. Primary sources from the supply side include experts such as CEOs, vice presidents, marketing directors, technology and innovation directors, application developers, application users, and related executives from various key companies and organizations operating in the ecosystem of the neuromorphic computing market.

Neuromorphic Computing Market  Size, and Share

Market Size Estimation

Both top-down and bottom-up approaches have been used to estimate and validate the overall size of the neuromorphic computing market. These methods have also been used extensively to estimate the size of various market subsegments. The research methodology used to estimate the market size includes the following:

  • Key players in major applications and markets have been identified through extensive secondary research.
  • The industry’s supply chain and market size, in terms of value, have been determined through primary and secondary research processes.
  • All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data Triangulation

After arriving at the overall market size using the estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakdown procedures have been employed, wherever applicable. The data have been triangulated by studying various factors and trends from both the demand and supply sides.

Report Objectives

  • To define, describe, and forecast the market on the basis of offering, deployment, application, vertical, and region
  • To forecast the size of the market segments for four main regions—North America, Europe, Asia Pacific (APAC), and Rest of the World (RoW)
  • To provide detailed information regarding the major factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
  • To strategically analyze micromarkets1 with respect to individual growth trends, prospects, and contributions to the total market
  • To study the complete value chain and allied industry segments, and perform a value chain analysis of the market
  • To strategically profile key players and comprehensively analyze their market shares and core competencies2
  • To analyze the opportunities in the market for stakeholders and describe the competitive landscape of the market
  • To analyze competitive developments such as joint ventures, collaborations, agreements, contracts, partnerships, mergers & acquisitions, new product developments, and research & development (R&Ds) activities in the market
  • To analyze the impact of COVID-19 on the neuromorphic computing market and provide market estimates for both pre-and post-COVID-19 scenarios

Available Customizations

With the given market data, MarketsandMarkets offers customizations according to the company’s specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)
Neuromorphic Computing Market Size,  Share & Growth Report
Report Code
SE 3744
Published ON
May, 2021
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