세계의 뉴로모픽 컴퓨팅 시장 : 제공 제품별, 전개별, 용도별, 업계별, 지역별 예측(-2030년)

Neuromorphic Computing Market by Offering (Processor, Sensor, Memory, Software), Deployment (Edge, Cloud), Application (Image & Video Processing, Natural Language Processing (NLP), Sensor Fusion, Reinforcement Learning) - Global Forecast to 2030

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한글목차

세계의 뉴로모픽 컴퓨팅 시장 규모는 2024년 2,850만 달러에 달했습니다. 이 시장은 2024-2030년까지 89.7%의 연평균 복합 성장률(CAGR)로 확대되었으며, 2030년에는 13억 2,520만 달러에 달할 것으로 예측됩니다. 에지 컴퓨팅의 실시간 데이터 처리 및 의사 결정 기능에 대한 수요가 뉴로모픽 컴퓨팅의 채택을 뒷받침하고 있습니다. 산업 자동화, 자율주행, 즉각적인 의사결정이 가능한 모니터링과 관련된 용도로 인해 실시간으로 엄청난 데이터를 처리할 수 있는 요구가 커지고 있어, 뉴로모픽 컴퓨팅 수요가 점점 높아지고 있습니다. 게다가 반도체 업계는 IC의 트랜지스터 수를 두배로 늘리는 과제에 직면하고 있습니다. IC의 소형화는 전류 누설, 과열, 기타 양자역학적 효과 등의 문제에 직면하고 있으며, 계산 능력을 강화하는 뉴로모픽 기술과 같은 대체 접근법이 시급합니다.

조사 범위
조사 대상 연도	2020-2029년
기준 연도	2023년
예측 기간	2024-2029년
검토 단위	금액(10억 달러)
부문별	제공 제품별, 전개별, 용도별, 업계별, 지역별
대상 지역	북미, 유럽, 아시아태평양 및 기타 지역

소프트웨어 분야에서는 정적 데이터가 아닌 라이브 데이터 스트리밍이 가능하며 딥러닝에 매력적인 시장이 되어 뉴로모픽 컴퓨팅 시장에서 가장 높은 CAGR을 유지할 것으로 예측됩니다. 뉴로모픽 컴퓨팅은 데이터를 비교하고 분석하고 새로운 패턴이 기존 패턴과 일치하면 유사한 결과를 생성합니다. 마찬가지로 생체 인식 패턴 인식에서도 신경 모형 컴퓨팅을 사용하면 고속, 고정밀, 저전력으로 패턴을 실시간으로 계산할 수 있다는 이점이 있습니다. 에지 디바이스와 로트 센서에 대한 수요 증가는 컴퓨팅 시스템에서 에너지 효율의 중요성을 강조합니다. 이러한 용도에는 많은 센서와 디바이스가 사용되는 경우가 많으며, 제한된 전력 자원과 배터리 수명 연장의 필요성 때문에 최소한의 에너지 소비로 효율적으로 작동해야 합니다. IoT Analytics의 분석에 따르면 다양한 섹터에서 상호 연결 장치에 대한 의존도가 높아지기 때문에 IoT 연결 수는 2027년까지 290억을 초과할 수 있습니다. 이러한 용도에는 수많은 센서와 장치가 포함되며 전력 자원이 제한되어 있으므로 최소한의 에너지 소비로 효율적으로 작동해야 합니다. 뉴로모픽 컴퓨팅은 기존의 폰 노이만 아키텍처의 한계였던 처리와 메모리 간의 에너지 집약적인 데이터 이동을 최소화하기 때문에 이러한 요구 사항을 충족할 수 있어 뉴로모픽 소프트웨어 수요 증가로 이어집니다.

예측 기간 동안 에지 부문이 가장 높은 점유율을 차지할 것으로 예상됩니다. 에지에서의 뉴로모픽 컴퓨팅은 다양한 용도로 사용할 수 있습니다. 예를 들어 인터넷에 연결하는 IoT 장치는 클라우드가 아닌 장치 자체에서 코드를 실행하여 보다 효율적인 사용자 상호작용을 실현할 수 있습니다. 마찬가지로 서버의 지시를 기다리지 않고 실시간으로 반응해야 하는 자율주행 차량도 에지에서 뉴로모픽 컴퓨팅의 혜택을 누릴 수 있습니다. 클라우드 서버의 지시를 기다리지 않고 실시간으로 반응해야 하는 의료 모니터링 장비도 에지에서 뉴로모픽 컴퓨팅의 신속한 응답 시간을 활용할 수 있습니다. 따라서 IoT, 자율주행차, 의료기기 등 업계 전체에서 실시간 처리, 낮은 대기시간 응답, 에너지 효율적인 솔루션에 대한 수요가 높아짐에 따라 예측 기간 동안 에지 부문이 뉴로모픽 컴퓨팅 시장을 독점하는 원동력이 될 것으로 보입니다.

본 보고서에서는 세계의 뉴로모픽 컴퓨팅 시장에 대해 조사했으며, 제공 제품별, 전개별, 용도별, 업계별, 지역별 동향 및 시장 진출기업 프로파일 등을 정리했습니다.

목차

제1장 서론

제2장 조사 방법

제3장 주요 요약

제4장 중요 인사이트

제5장 시장 개요

• 소개
• 시장 역학
• 고객사업에 영향을 주는 동향/혼란
• 가격 분석
• 밸류체인 분석
• 생태계 분석
• 투자와 자금조달 시나리오
• 기술 분석
• 특허 분석
• 무역 분석
• 2025-2026년의 주된 회의와 이벤트
• 사례 연구 분석
• 규제 상황
• Porter's Five Forces 분석
• 주요 이해관계자와 구매 기준

제6장 뉴로모픽 컴퓨팅 시장, 제공 제품별

• 소개
• 프로세서
• 메모리
• 센서
• 소프트웨어

제7장 뉴로모픽 컴퓨팅 시장, 전개별

• 소개
• 에지
• 클라우드

제8장 뉴로모픽 컴퓨팅 시장, 용도별

• 소개
• 화상 및 비디오 처리/컴퓨터 비전
• 자연언어처리(NLP)
• 센서 퓨전
• 기타

제9장 뉴로모픽 컴퓨팅 시장, 업계별

• 소개
• 가전
• 항공우주 및 방위
• 자동차
• 공업
• 의료
• IT 및 통신
• 기타

제10장 뉴로모픽 컴퓨팅의 최종 용도

• 소개
• 드론과 로봇
• ADAS 및 자율주행차
• 사물인터넷
• 뇌 컴퓨터 인터페이스
• 기타 최종 용도

제11장 뉴로모픽 컴퓨팅 시장, 지역별

• 소개
• 북미
  • 북미의 거시경제 전망
  • 미국
  • 캐나다
  • 멕시코
• 유럽
  • 유럽의 거시 경제 전망
  • 영국
  • 독일
  • 프랑스
  • 이탈리아
  • 스페인
  • 기타
• 아시아태평양
  • 아시아태평양의 거시 경제 전망
  • 중국
  • 일본
  • 한국
  • 인도
  • 기타
• 기타 지역
  • 기타 지역의 거시 경제 전망
  • 중동
  • 아프리카
  • 남미

제12장 경쟁 구도

• 개요
• 주요 참가 기업의 전략/강점, 2020-2024년
• 수익 분석, 2021-2023년
• 시장 점유율 분석, 2023년
• 기업평가와 재무지표, 2024년
• 브랜드/제품 비교
• 기업평가 매트릭스: 주요 진입기업, 2023년
• 기업평가 매트릭스: 스타트업/중소기업, 2023년
• 경쟁 시나리오

제13장 기업 프로파일

• 주요 진출기업
  • INTEL CORPORATION
  • IBM
  • QUALCOMM TECHNOLOGIES, INC.
  • SAMSUNG ELECTRONICS CO., LTD.
  • SONY CORPORATION
  • BRAINCHIP, INC.
  • SynSense
  • MEDIATEK INC.
  • NXP SEMICONDUCTORS
  • ADVANCED MICRO DEVICES, INC.
  • HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
  • OMNIVISION
• 기타 기업
  • INNATERA NANOSYSTEMS BV
  • GENERAL VISION INC.
  • APPLIED BRAIN RESEARCH, INC.
  • NUMENTA
  • ASPINITY
  • NATURAL INTELLIGENCE
  • GRAI MATTER LABS
  • PROPHESEE.AI
  • MICROCHIP TECHNOLOGY INC.
  • MEMCOMPUTING, INC.
  • COGNIXION
  • NEUROPIXELS
  • SPINNCLOUD SYSTEMS
  • POLYN TECHNOLOGY

제14장 부록

JHS

영문 목차

영문목차

The neuromorphic computing market is expected to be worth USD 28.5 million in 2024 and is estimated to reach USD 1,325.2 million by 2030, growing at a CAGR of 89.7% between 2024 and 2030. The demand for real-time data processing and decision-making capabilities in edge computing drives the adoption of neuromorphic computing. The increasing requirements to process real-time massive data for applications related to industrial automation, autonomous driving, and monitoring with a capability to make instantaneous decisions are making neuromorphic computing increasingly in demand. Moreover, the semiconductor industry is facing challenges in continuing to double the transistor count on ICs. The miniaturization of ICs faces issues such as current leakage, overheating, and other quantum mechanical effects, driving the urgent need for alternative approaches like neuromorphic technology to enhance computational power.

Scope of the Report
Years Considered for the Study	2020-2029
Base Year	2023
Forecast Period	2024-2029
Units Considered	Value (USD Billion)
Segments	By Offering, Deployment, Application, Sensor Fusion and Region.
Regions covered	North America, Europe, APAC, RoW

Software segment to exhibit highest CAGR of neuromorphic computing market during forecast period

Software segment is anticipated to hold the highest CAGR in the Neuromorphic computing market, as software allows live data streaming rather than static data, which makes them an attractive market for deep learning. Neuromorphic computing compares and analyses data and generates similar results if the new pattern matches the existing patterns. Similarly, for biometric pattern recognition, using neuromorphic computing has an advantage, as it gives real-time computation of patterns with high speed, accuracy, and low power consumption. The growing demand for edge devices and lot sensors underscores the importance of energy efficiency in computing systems. These applications often involve large numbers of sensors and devices that must operate efficiently with minimal energy consumption, due to their limited power resources and the need for prolonged battery life. According to analysis by IoT Analytics, the number of IoT connections could exceed 29 billion, by 2027, due to growing dependence of various sectors on interconnected devices. These applications involves large number of sensors and devices which needs to operate efficiently along with minimal energy consumption, as they have limited power resources. These requirements are met by neuromorphic computing as it minimizes the energy-intensive data movement between the processing and memory, which was a limitation in traditional von neuman architectures, leading to rise in demand for neuromorphic software.

"Edge segment in deployment is expected to have the highest share during the forecast period."

Edge segment is expected to hold highest share during the forecast period. Neuromorphic computing on edge can be used in various applications. For instance, IoT devices that connect to the Internet can benefit from running code on the device itself rather than on the cloud for more efficient user interactions. Similarly, autonomous vehicles that need to react in real time, without waiting for instructions from a server, can benefit from neuromorphic computing on edge. Medical monitoring devices that must respond in real time without waiting to hear from a cloud server would also benefit from the rapid response time of neuromorphic computing at the edge. Therefore, the increasing demand for real-time processing, low-latency responses, and energy-efficient solutions across industries like IoT, autonomous vehicles, and medical devices will drive the edge segment to dominate the neuromorphic computing market during the forecast period.

"Image and video processing/computer vision segment to hold the largest share during the forecast period.

Image and video processing/ computer vision holds major share in the neuromorphic computing malret. The rise of smart cities is propelling deployment of surveillance systems, thus increasing the need for real-time image analysis. According to the World Economic Forum, 1.3 million people are moving to cities every week around the globe, and by 2040, 65% of the world's population will live in cities. Today, 60% of the world's GDP comes from the 600 largest cities and these figures can be expected to expand as these cities grow and thrive. It is projected that up to 80% of further growth in developing regions will take place in urban centers. This rapid urbanization is going to lead to a force of requirement in neuromorphic computing concerning image and video processing because cities have no choice but to demand their sophisticated application for dealing with large amounts of visual data in the implementation of applications such as surveillance, traffic management, and infrastructure monitoring for safety and efficiency into crowded and complex environments.

"Market for Consumer electronics segment is projected to hold for largest share during the forecast timeline."

Consumer electronics will witness a higher share during the forecast period because of its high demand for smart, efficient, and high-performance devices. The Neuromorphic computing sector has immense advantage due to ultra-low power consumption and exceptional processing capabilities, critical to powering the next generation of consumer electronics. One such feature that is still being incorporated with consumer electronics is AI-driven features. The most effective of these are an image and a speech recognition tool. These chips enable devices to process complex tasks locally, reducing reliance on cloud computing and enhancing user privacy and real-time performance. For example, services such as Alexa and Siri that currently rely heavily on cloud computing will directly benefit from deployment of neuromorphic chips. That would make the latency low and make these AI assistants much more efficient.

"North America is expected to hold for largest share during the forecast timeline."

North America will occupy the largest share during the forecast period due to the presence of prominent technology providers, such as IBM (US) and Intel Corporation (US), Qualcomm

Technologies, Inc. (US), Advanced Micro Devices, Inc. (US), Hewlett Packard Enterprise Development LP (US), OMNIVISION (US), contributes to the market's growth in this region. These firms are researching and developing neuromorphic chips and AI solutions, leading the region into the innovation front in technology. Increased government spending over the years to address concerns over the security of critical infrastructures and sensitive data has resulted in the adoption of neuromorphic chipsets in security applications. High consumerization of personal care products, routine checkup medical tools, and wearable devices is boosting the adoption of neuromorphic computing devices in North America, thereby driving the growth of this market.

Extensive primary interviews were conducted with key industry experts in the neuromorphic computing market space to determine and verify the market size for various segments and subsegments gathered through secondary research. The break-up of primary participants for the report has been shown below: The study contains insights from various industry experts, from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:

• By Company Type: Tier 1 - 15%, Tier 2 - 55%, and Tier 3 - 35%
• By Designation: C-level Executives - 45%, Directors - 25%, and Others - 30%
• By Region: North America - 35%, Europe - 30%, Asia Pacific - 25%, and RoW - 10%

The report profiles key players in the neuromorphic computing market with their respective market ranking analysis. Prominent players profiled in this report are Intel Corporation (US), IBM (US), Qualcomm Technologies, Inc. (US), Samsung Electronics Co., Ltd. (South Korea), Sony Corporation (Japan), BrainChip, Inc. (Australia), SynSense (China), MediaTek Inc. (Taiwan), NXP Semiconductors (Netherlands), Advanced Micro Devices, Inc. (US), Hewlett Packard Enterprise Development LP (US), OMNIVISION (US), among others.

Apart from this, Innatera Nanosystems BV (Netherlands), General Vision Inc. (US), Applied Brain Research, Inc. (Canada), Numenta (US), Aspinity (US), Natural Intelligence (US), GrAI Matter Labs (France), Prophesee.ai (France), Microchip Technology Inc. (US), MemComputing, Inc. (US), Cognixion (US), Neuropixels (Belgium), SpiNNcloud Systems (Germany), POLYN Technology (Israel), are among a few emerging companies in the neuromorphic computing market.

Research Coverage: This research report categorizes the neuromorphic computing market based on 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 2030. Apart from these, the report also consists of leadership mapping and analysis of all the companies included in the neuromorphic computing ecosystem.

Key Benefits of Buying the Report The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall neuromorphic computing market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

• Analysis of key drivers (expanding cyber threats; the surge in data generation necessitating robust and scalable security solutions capable of handling large volumes of sensitive information) influencing the growth of the neuromorphic computing market.
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the neuromorphic computing market.
• Market Development: Comprehensive information about lucrative markets - the report analysis the neuromorphic computing market across varied regions
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the neuromorphic computing market
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players like Intel Corporation (US), IBM (US), Qualcomm Technologies, Inc. (US), Samsung Electronics Co., Ltd. (South Korea), Sony Corporation (Japan), among others in the neuromorphic computing market.

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
• 1.3 STUDY SCOPE
  • 1.3.1 MARKETS COVERED AND REGIONAL SCOPE
  • 1.3.2 INCLUSIONS AND EXCLUSIONS
  • 1.3.3 YEARS CONSIDERED
• 1.4 CURRENCY CONSIDERED
• 1.5 UNITS CONSIDERED
• 1.6 LIMITATIONS
• 1.7 STAKEHOLDERS
• 1.8 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

• 2.1 RESEARCH DATA
  • 2.1.1 SECONDARY DATA
    • 2.1.1.1 List of major secondary sources
    • 2.1.1.2 Key data from secondary sources
  • 2.1.2 PRIMARY DATA
    • 2.1.2.1 List of primary interview participants
    • 2.1.2.2 Breakdown of primaries
    • 2.1.2.3 Key data from primary sources
    • 2.1.2.4 Key industry insights
  • 2.1.3 SECONDARY AND PRIMARY RESEARCH
• 2.2 MARKET SIZE ESTIMATION
  • 2.2.1 BOTTOM-UP APPROACH
    • 2.2.1.1 Approach to estimate market size using bottom-up analysis (demand side)
  • 2.2.2 TOP-DOWN APPROACH
    • 2.2.2.1 Approach to estimate market size using top-down analysis (supply side)
• 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
• 2.4 RESEARCH ASSUMPTIONS
• 2.5 RISK ASSESSMENT
• 2.6 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN NEUROMORPHIC COMPUTING MARKET
• 4.2 NEUROMORPHIC COMPUTING MARKET, BY OFFERING
• 4.3 NEUROMORPHIC COMPUTING MARKET, BY DEPLOYMENT
• 4.4 NEUROMORPHIC COMPUTING MARKET, BY APPLICATION
• 4.5 NEUROMORPHIC COMPUTING MARKET, BY VERTICAL
• 4.6 NEUROMORPHIC COMPUTING MARKET, BY COUNTRY
• 4.7 NEUROMORPHIC COMPUTING MARKET, BY REGION

5 MARKET OVERVIEW

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Rising adoption of neuromorphic hardware
    • 5.2.1.2 Need for alternative approaches to enhance computational power
    • 5.2.1.3 Growing application of AI and ML
    • 5.2.1.4 Increasing demand for real-time data processing and decision-making capabilities
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 Lack of R&D investments
    • 5.2.2.2 Complexity of algorithms
    • 5.2.2.3 Shortage of educational resources and training opportunities
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Ability to withstand harsh conditions of space
    • 5.2.3.2 Increasing adoption in healthcare sector
    • 5.2.3.3 Ability to automate complex decision-making processes in cybersecurity operations
    • 5.2.3.4 Integration of neuroplasticity into neuromorphic computing
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Complications associated with software development
    • 5.2.4.2 Complexities linked with developing computational models
• 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.4 PRICING ANALYSIS
  • 5.4.1 INDICATIVE PRICING OF KEY PLAYERS, BY OFFERING, 2023
  • 5.4.2 AVERAGE SELLING PRICE TREND, BY REGION, 2020-2023
• 5.5 VALUE CHAIN ANALYSIS
• 5.6 ECOSYSTEM ANALYSIS
• 5.7 INVESTMENT AND FUNDING SCENARIO
• 5.8 TECHNOLOGY ANALYSIS
  • 5.8.1 KEY TECHNOLOGIES
    • 5.8.1.1 Convolutional neural networks
    • 5.8.1.2 Recurrent neural networks
    • 5.8.1.3 Spiking neural networks
    • 5.8.1.4 Compute hardware
    • 5.8.1.5 IBM TrueNorth
    • 5.8.1.6 BrainChip's Akida
    • 5.8.1.7 Loihi 2
    • 5.8.1.8 Speck
    • 5.8.1.9 DynapCNN
    • 5.8.1.10 Groq northstar
  • 5.8.2 COMPLEMENTARY TECHNOLOGIES
    • 5.8.2.1 Computational neuroscience
  • 5.8.3 ADJACENT TECHNOLOGIES
    • 5.8.3.1 AI and ML
• 5.9 PATENT ANALYSIS
• 5.10 TRADE ANALYSIS
  • 5.10.1 IMPORT DATA (HS CODE 854231)
  • 5.10.2 EXPORT DATA (HS CODE 854231)
• 5.11 KEY CONFERENCES AND EVENTS, 2025-2026
• 5.12 CASE STUDY ANALYSIS
  • 5.12.1 INTEL LABS OFFERED LAVA NEUROMORPHIC FRAMEWORK TO CONCORDIA UNIVERSITY THAT OPTIMIZED HYPERPARAMETERS FOR LARGE SCALE PROBLEMS
  • 5.12.2 INTEL LABS AND CORNELL UNIVERSITY COLLABORATED TO TRAIN INTEL'S LOIHI NEUROMORPHIC CHIP TO IDENTIFY HAZARDOUS CHEMICALS BASED ON THEIR SCENTS
  • 5.12.3 TU/E AND NORTHWESTERN UNIVERSITY IMPLEMENTED NEUROMORPHIC BIOSENSORS CAPABLE OF ON-CHIP LEARNING THAT IMPROVED EFFICIENCY AND ACCURACY
• 5.13 REGULATORY LANDSCAPE
  • 5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.13.2 REGULATORY STANDARDS
• 5.14 PORTER'S FIVE FORCES ANALYSIS
  • 5.14.1 THREAT OF NEW ENTRANTS
  • 5.14.2 THREAT OF SUBSTITUTES
  • 5.14.3 BARGAINING POWER OF SUPPLIERS
  • 5.14.4 BARGAINING POWER OF BUYERS
  • 5.14.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
  • 5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 5.15.2 BUYING CRITERIA

6 NEUROMORPHIC COMPUTING MARKET, BY OFFERING

• 6.1 INTRODUCTION
• 6.2 PROCESSOR
  • 6.2.1 RISING EMPHASIS ON BOOSTING ADOPTION OF ADAS TECHNOLOGIES TO DRIVE MARKET
• 6.3 MEMORY
  • 6.3.1 HIGH EFFICIENCY AND LOW POWER CONSUMPTION TO FOSTER MARKET GROWTH
• 6.4 SENSOR
  • 6.4.1 ABILITY TO DELIVER HIGH TEMPORAL RESOLUTIONS TO ACCELERATE DEMAND
• 6.5 SOFTWARE
  • 6.5.1 GROWING DEMAND FOR EDGE DEVICES AND IOT SENSORS TO FUEL MARKET GROWTH

7 NEUROMORPHIC COMPUTING MARKET, BY DEPLOYMENT

• 7.1 INTRODUCTION
• 7.2 EDGE
  • 7.2.1 ABILITY TO HANDLE REAL-TIME DATA PROCESSING WITH LOW POWER REQUIREMENTS TO DRIVE MARKET
• 7.3 CLOUD
  • 7.3.1 INCREASING COMPUTATIONAL NEEDS AND EMERGENCE OF CLOUD-NATIVE SOLUTIONS TO FUEL MARKET GROWTH

8 NEUROMORPHIC COMPUTING MARKET, BY APPLICATION

• 8.1 INTRODUCTION
• 8.2 IMAGE AND VIDEO PROCESSING/COMPUTER VISION
  • 8.2.1 GROWING EMPHASIS ON DEVELOPING SMART CITIES TO BOOST DEMAND
• 8.3 NATURAL LANGUAGE PROCESSING (NLP)
  • 8.3.1 INCREASING DEMAND FOR REAL-TIME AND EFFICIENT LANGUAGE PROCESSING TO DRIVE MARKET
• 8.4 SENSOR FUSION
  • 8.4.1 EXPANDING ROBOTICS INDUSTRY TO OFFER LUCRATIVE GROWTH OPPORTUNITIES
• 8.5 OTHER APPLICATIONS

9 NEUROMORPHIC COMPUTING MARKET, BY VERTICAL

• 9.1 INTRODUCTION
• 9.2 CONSUMER ELECTRONICS
  • 9.2.1 GROWING APPLICATION IN SMART HOMES AND SMARTPHONES TO DRIVE MARKET
• 9.3 AEROSPACE & DEFENSE
  • 9.3.1 ABILITY TO ENHANCE SITUATIONAL AWARENESS AND TACTICAL DECISION-MAKING CAPABILITY TO FOSTER MARKET GROWTH
• 9.4 AUTOMOTIVE
  • 9.4.1 INCREASING NEED TO PREVENT VEHICLE ACCIDENTS TO DRIVE MARKET
• 9.5 INDUSTRIAL
  • 9.5.1 GROWING TREND OF INDUSTRY 4.0 TO ACCELERATE DEMAND
• 9.6 MEDICAL
  • 9.6.1 RISING NEED FOR EXTENDED BATTERY LIFE IN IMPLANTABLE DEVICES TO BOOST DEMAND
• 9.7 IT & TELECOMMUNICATION
  • 9.7.1 ROLLOUT OF 5G AND UPCOMING 6G NETWORK TO OFFER LUCRATIVE GROWTH OPPORTUNITIES
• 9.8 OTHER VERTICALS

10 END USES OF NEUROMORPHIC COMPUTING

• 10.1 INTRODUCTION
• 10.2 DRONES AND ROBOTICS
• 10.3 ADAS AND AUTONOMOUS VEHICLE
• 10.4 IOT
• 10.5 BRAIN-COMPUTER INTERFACE
• 10.6 OTHER END USES

11 NEUROMORPHIC COMPUTING MARKET, BY REGION

• 11.1 INTRODUCTION
• 11.2 NORTH AMERICA
  • 11.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
  • 11.2.2 US
    • 11.2.2.1 Government-led initiatives to boost neuromorphic architecture to drive market
  • 11.2.3 CANADA
    • 11.2.3.1 Rising emphasis on AI research to fuel market growth
  • 11.2.4 MEXICO
    • 11.2.4.1 Surging FDIs to offer lucrative growth opportunities
• 11.3 EUROPE
  • 11.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
  • 11.3.2 UK
    • 11.3.2.1 Rising emphasis on developing and deploying AI-driven solutions to boost demand
  • 11.3.3 GERMANY
    • 11.3.3.1 Increasing emphasis on digital innovation to drive market
  • 11.3.4 FRANCE
    • 11.3.4.1 Growing demand among high-tech industries to fuel market growth
  • 11.3.5 ITALY
    • 11.3.5.1 Growing emphasis on innovating advanced semiconductor technologies to accelerate demand
  • 11.3.6 SPAIN
    • 11.3.6.1 Presence of strong research institutions and innovation hubs to drive demand
  • 11.3.7 REST OF EUROPE
• 11.4 ASIA PACIFIC
  • 11.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
  • 11.4.2 CHINA
    • 11.4.2.1 Increasing focus on advancing AI and next-generation computing technologies to foster market growth
  • 11.4.3 JAPAN
    • 11.4.3.1 Increased adoption in robotics and automation systems to spur demand
  • 11.4.4 SOUTH KOREA
    • 11.4.4.1 Increasing focus on developing cutting-edge brain-inspired semiconductor technologies to offer lucrative growth opportunities
  • 11.4.5 INDIA
    • 11.4.5.1 Increasing initiatives to boost semiconductor sector to drive market
  • 11.4.6 REST OF ASIA PACIFIC
• 11.5 ROW
  • 11.5.1 MACROECONOMIC OUTLOOK FOR ROW
  • 11.5.2 MIDDLE EAST
    • 11.5.2.1 Development of smart cities to drive market
    • 11.5.2.2 GCC countries
    • 11.5.2.3 Rest of Middle East
  • 11.5.3 AFRICA
    • 11.5.3.1 Expanding data center infrastructure to boost demand
  • 11.5.4 SOUTH AMERICA
    • 11.5.4.1 Increasing demand for smart and miniaturized technology solutions to fuel market growth

12 COMPETITIVE LANDSCAPE

• 12.1 OVERVIEW
• 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020-2024
• 12.3 REVENUE ANALYSIS, 2021-2023
• 12.4 MARKET SHARE ANALYSIS, 2023
• 12.5 COMPANY VALUATION AND FINANCIAL METRICS, 2024
• 12.6 BRAND/PRODUCT COMPARISON
• 12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
  • 12.7.1 STARS
  • 12.7.2 EMERGING LEADERS
  • 12.7.3 PERVASIVE PLAYERS
  • 12.7.4 PARTICIPANTS
  • 12.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
    • 12.7.5.1 Company footprint
    • 12.7.5.2 Region footprint
    • 12.7.5.3 Offering footprint
    • 12.7.5.4 Deployment footprint
    • 12.7.5.5 Application footprint
    • 12.7.5.6 Vertical footprint
• 12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
  • 12.8.1 PROGRESSIVE COMPANIES
  • 12.8.2 RESPONSIVE COMPANIES
  • 12.8.3 DYNAMIC COMPANIES
  • 12.8.4 STARTING BLOCKS
  • 12.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
    • 12.8.5.1 Detailed list of key startups/SMEs
    • 12.8.5.2 Competitive benchmarking of key startups/SMEs
• 12.9 COMPETITIVE SCENARIO
  • 12.9.1 PRODUCT LAUNCHES
  • 12.9.2 DEALS
  • 12.9.3 OTHER DEVELOPMENTS

13 COMPANY PROFILES

• 13.1 KEY PLAYERS
  • 13.1.1 INTEL CORPORATION
    • 13.1.1.1 Business overview
    • 13.1.1.2 Products/Solutions/Services offered
    • 13.1.1.3 Recent developments
      • 13.1.1.3.1 Product launches
      • 13.1.1.3.2 Deals
    • 13.1.1.4 MnM view
      • 13.1.1.4.1 Key strengths/Right to win
      • 13.1.1.4.2 Strategic choices
      • 13.1.1.4.3 Weaknesses/Competitive threats
  • 13.1.2 IBM
    • 13.1.2.1 Business overview
    • 13.1.2.2 Products/Solutions/Services offered
    • 13.1.2.3 Recent developments
      • 13.1.2.3.1 Product launches
      • 13.1.2.3.2 Deals
    • 13.1.2.4 MnM view
      • 13.1.2.4.1 Key strengths/Right to win
      • 13.1.2.4.2 Strategic choices
      • 13.1.2.4.3 Weaknesses/Competitive threats
  • 13.1.3 QUALCOMM TECHNOLOGIES, INC.
    • 13.1.3.1 Business overview
    • 13.1.3.2 Products/Solutions/Services offered
    • 13.1.3.3 Recent developments
      • 13.1.3.3.1 Deals
      • 13.1.3.3.2 Other developments
    • 13.1.3.4 MnM view
      • 13.1.3.4.1 Key strengths/Right to win
      • 13.1.3.4.2 Strategic choices
      • 13.1.3.4.3 Weaknesses/Competitive threats
  • 13.1.4 SAMSUNG ELECTRONICS CO., LTD.
    • 13.1.4.1 Business overview
    • 13.1.4.2 Products/Solutions/Services offered
    • 13.1.4.3 Recent developments
      • 13.1.4.3.1 Product launches
      • 13.1.4.3.2 Deals
    • 13.1.4.4 MnM view
      • 13.1.4.4.1 Key strengths/Right to win
      • 13.1.4.4.2 Strategic choices
      • 13.1.4.4.3 Weaknesses/Competitive threats
  • 13.1.5 SONY CORPORATION
    • 13.1.5.1 Business overview
    • 13.1.5.2 Products/Solutions/Services offered
    • 13.1.5.3 MnM view
      • 13.1.5.3.1 Key strengths/Right to win
      • 13.1.5.3.2 Strategic choices
      • 13.1.5.3.3 Weaknesses/Competitive threats
  • 13.1.6 BRAINCHIP, INC.
    • 13.1.6.1 Business overview
    • 13.1.6.2 Products/Solutions/Services offered
    • 13.1.6.3 Recent developments
      • 13.1.6.3.1 Product launches
      • 13.1.6.3.2 Deals
      • 13.1.6.3.3 Other developments
  • 13.1.7 SYNSENSE
    • 13.1.7.1 Business overview
    • 13.1.7.2 Products/Solutions/Services offered
    • 13.1.7.3 Recent developments
      • 13.1.7.3.1 Product launches
      • 13.1.7.3.2 Deals
  • 13.1.8 MEDIATEK INC.
    • 13.1.8.1 Business overview
    • 13.1.8.2 Products/Solutions/Services offered
  • 13.1.9 NXP SEMICONDUCTORS
    • 13.1.9.1 Business overview
    • 13.1.9.2 Products/Solutions/Services offered
    • 13.1.9.3 Recent developments
      • 13.1.9.3.1 Product launches
      • 13.1.9.3.2 Deals
  • 13.1.10 ADVANCED MICRO DEVICES, INC.
    • 13.1.10.1 Business overview
    • 13.1.10.2 Products/Solutions/Services offered
    • 13.1.10.3 Recent developments
      • 13.1.10.3.1 Product launches
      • 13.1.10.3.2 Deals
  • 13.1.11 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
    • 13.1.11.1 Business overview
    • 13.1.11.2 Products/Solutions/Services offered
    • 13.1.11.3 Recent developments
      • 13.1.11.3.1 Product launches
      • 13.1.11.3.2 Deals
  • 13.1.12 OMNIVISION
    • 13.1.12.1 Business overview
    • 13.1.12.2 Products/Solutions/Services offered
    • 13.1.12.3 Recent developments
      • 13.1.12.3.1 Product launches
      • 13.1.12.3.2 Deals
• 13.2 OTHER PLAYERS
  • 13.2.1 INNATERA NANOSYSTEMS BV
  • 13.2.2 GENERAL VISION INC.
  • 13.2.3 APPLIED BRAIN RESEARCH, INC.
  • 13.2.4 NUMENTA
  • 13.2.5 ASPINITY
  • 13.2.6 NATURAL INTELLIGENCE
  • 13.2.7 GRAI MATTER LABS
  • 13.2.8 PROPHESEE.AI
  • 13.2.9 MICROCHIP TECHNOLOGY INC.
  • 13.2.10 MEMCOMPUTING, INC.
  • 13.2.11 COGNIXION
  • 13.2.12 NEUROPIXELS
  • 13.2.13 SPINNCLOUD SYSTEMS
  • 13.2.14 POLYN TECHNOLOGY

14 APPENDIX

• 14.1 DISCUSSION GUIDE
• 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 14.3 CUSTOMIZATION OPTIONS
• 14.4 RELATED REPORTS
• 14.5 AUTHOR DETAILS

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