Neuromorphic Computing Market

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 - Global Forecast to 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% 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, 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 the 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 impacted the growth of the neuromorphic computing market in several verticals worldwide. Neuromorphic chips started being used in medical devices in 2020. Watson, an analytical tool developed by IBM Corp. (US), which works like a human analytical system, is planned to be integrated with neuromorphic chips and is expected to be used for medical imaging analytics. This is expected to drive the growth of the market for the medical industry. 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 the neuromorphic computing market in the IT & telecommunication vertical.

Market Dynamics

Drivers: Need for better-performing ICs

A central processing unit (CPU) has to constantly shuttle information back and forth from the memory store since it stores data and program instructions in a block of memory, which is separate from the processor that carries out the instructions. Thus, data transportation causes excessive power consumption and slows down the optimum speed of the processor operation, thereby limiting its overall processing speed. While. neuromorphic chips can process data in parallel, and information can be stored in the chip itself. Integration of processing and storage avoids data shuttling, and hence, computing can be more efficient. The need for better performing ICs will be a significant driver to the neuromorphic computing market during the forecast period.

Increase in demand for artificial intelligence and machine learning

The rising number of machine-to-machine connections and the growing penetration of artificial intelligence are driving the need for having more solutions at the edge using neuromorphic computing. Artificial intelligence (AI) has applications 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 drive business environments with smart decisions. Such systems would have applications in image classification, question-answering medical diagnostics systems, fraud detection, credit scoring, speech recognition, language translation, and self-driving automobiles.

Restraints: Complex algorithms increase the complexity of designing hardware of neuromorphic chips

Neuromorphic chips are expected to have a huge growth potential in markets such as mobile and embedded systems. However, at this stage, it will be critical to attaining performance equivalent to graphics processing units (GPUs) in industrial machine learning, as backend server/data center applications need extensive learning of algorithms. Therefore, due to the limitations of hardware fabrication capabilities, it would be difficult to enable neuromorphic hardware to learn complex algorithms for large-scale implementations. This can occur as a hindering factor in the growth of the neuromorphic computing market.

Software by offering segment is projected to witness the highest CAGR for the forecast period

The software segment is expected to grow at a higher between 2021 and 2026. The neuromorphic computing software has applications such as continuous online learning, real-time data streaming, prediction, and data modeling. Increasing adoption of software in industries such as aerospace & defense, IT & telecom, and medical is also driving the growth of the market for neuromorphic computing software.

Aerospace, Military & Defense to account for largest share of neuromorphic computing market during the forecast period

The neuromorphic computing market has been segmented on the basis of vertical into aerospace, military & defense, medical, IT & telecommunication, automotive, industrial, and others. Aerospace, military & defense is expected to hold the largest share of ~32% of market in 2021. 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 the 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 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)

North America is expected to hold the largest share of ~40% of the global neuromorphic computing market in 2021. Extensive awareness about the benefits of neuromorphic computing in industries such as aerospace, military & defense and medical is a major driver for the dominance of this region. The US, being the leading adopter of artificial intelligence for machine learning, natural language processing (NLP), image processing, and speech recognition across industries such as medical and automotive, is driving the growth of the market in North America. While APAC is expected to hold the second-largest share of ~37% and is expected to grow at the highest CAGR during 2021-2026. Countries such as China, Japan, and South Korea are expected to be the major contributors to 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.

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).

Intel Corporation (US)

Intel Corporation ranked first in the neuromorphic computing market in 2020. Intel, in collaboration with Purdue University, started to work on the design of the neuromorphic chip. In 2012, Intel revealed its spin-based neuromorphic microchips as the ultimate parallel processor and was planning to progress on system-level modeling of large-scale neuromorphic architectures based on the proposed device–circuit scheme. In June 2019, the company announced, that an 8 million-neuron neuromorphic system comprising 64 Loihi research chips is available to the broader research community. With Pohoiki Beach, researchers can experiment with Intel’s brain-inspired research chip, Loihi, which applies the principles found in biological brains to computer architectures. Loihi enables users to process information up to 1,000 times faster and 10,000 times more efficiently than CPUs for specialized applications like sparse coding, graph search, and constraint satisfaction problems. For the development of the neuromorphic chip, Intel joined hands with AMD (US), one of the leading technology development companies, and this partnership is likely to help Intel make use of new innovative solutions for neuromorphic chip development. Intel has also started a Parallel Computing Lab which focuses on applications such as big data, machine learning, neuromorphic computing, extreme-scale computing, multimodal real-time physical simulation, behavioral simulation, interventional medical imaging, large-scale optimization (FSI), and computational biology.

Scope of the Report:

Report Metric

Details

Market size available for years

2018–2026

Base year

2020

Forecast period

2021–2026

Units

Value USD Thousand

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 March 2020, Intel announced the readiness of Pohoiki Springs, its latest and most powerful neuromorphic research system providing a computational capacity of 100 million neurons. The cloud-based system is made available to members of the Intel Neuromorphic Research Community (INRC), extending their neuromorphic work to solve larger, more complex problems.
  • In June 2019, Intel announced that an 8 million-neuron neuromorphic system comprising 64 Loihi research chips is available to the broader research community. With Pohoiki Beach, researchers can experiment with Intel’s brain-inspired research chip, Loihi, which applies the working mechanism of biological brains to computer architectures. Loihi enables users to process information up to 1,000 times faster and 10,000 times more efficiently than CPUs for specialized applications such as sparse coding, graph search, and constraint satisfaction problems.

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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 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 (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 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 (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 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 (Page No. - 83)
    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 (Page No. - 88)
    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 (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 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 (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 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 (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 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 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 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 (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 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 (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 neuromorphic computing 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 neuromorphic computing 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 neuromorphic computing 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

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Company Information

  • Detailed analysis and profiling of additional market players (up to 5)
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Get in-depth analysis of the COVID-19 impact on the Neuromorphic Computing Market

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