Neuromorphic Computing Market Size, Share & Growth

Report Code SE 3744
Published in Oct, 2024, By MarketsandMarkets™
Download PDF

Choose License Type

Buy Report Now Inquire Before Buying

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

Neuromorphic Computing Market Size, Share & Growth

The global neuromorphic computing market is expected to grow from USD 28.5 million in 2024 to USD 1,325.2 million by 2030 at a CAGR of 89.7% during the forecast period. The neuromorphic computing market is poised for rapid growth, driven by the increasing demand for AI-based applications that mimic the brain's neural architecture. The market is shaped by emerging trends, including the shift toward edge computing architectures, rising demand for brain-computer interfaces, and the convergence of quantum computing with neuromorphic systems. The neuromorphic processor segment held the largest market share in the year 2023. The high market share is attributed to its ability to emulate neural network and provide rapid data processing, networks and provide rapid data processing while reducing power consumption compared to traditional processors.

Attractive Opportunities in the Neuromorphic Computing Market

NORTH AMERICA

North America accounted for the largest share of 35.6% of the neuromorphic computing market in 2023.

The growing demand for neuromorphic processors for real-time data processing and decision-making capabilities is likely to create lucrative opportunities for players in the neuromorphic computing market.

Increasing investments by the US government and the strong presence of industry giants and emerging neuromorphic solutions companies in the region will fuel neuromorphic computing market growth across North America.

Product launches are expected to offer lucrative growth opportunities for the market players in the next five years.

Intel Corporation (US), IBM (US), Qualcomm Technologies, Inc. (US), Samsung Electronics Co., Ltd. (South Korea), and Sony Corporation (Japan) are major players in the neuromorphic computing market.

Neuromorphic Computing Market Trends & Dynamics

DRIVER: Growing applications of AI and ML

Neuromorphic computing can handle massive data streams and parallel processing more effectively than conventional ICs. This is crucial as AI models become more complex and data-intensive, necessitating chips that can provide high performance with low energy consumption. As industries seek more powerful and efficient computational solutions, such flexibility and efficiency in the neuromorphic computing domain make it one of the most valuable tools in the current AI revolution. As demand for Al and ML capabilities increases in the healthcare and automobile industries, the market for neuromorphic computing is poised for high growth.

In May 2024, SpiNNcloud Systems (Germany) launched SpiNNaker2, the latest neuromorphic computing platform designed to support hybrid AI systems with increased computing speed and reduced power consumption. In another instance, in April 2024, Intel (US) announced the creation of the biggest neuromorphic system comprising 1.15 billion neurons and using Intel's Loihi 2 processor, called Hala Point. It has been installed at Sandia National Laboratories to promote research into brain-inspired AI and the efficiency and sustainability of AI technologies. These developments represent significant strides toward advancing the functionality of neuromorphic computing in response to growing needs for AI and ML.

RESTRAINT: Complexities associated with designing neuromorphic hardware

One of the major restraints for the neuromorphic computing market is the increasing costs of designing hardware for neuromorphic chips. Neuromorphic chips are designed to replicate the structure and functioning of biological neural networks, requiring highly specialized architectures, such as spiking neural networks, that are much more complex than standard digital circuits. This complexity needs intricate circuit layouts, advanced materials, and novel manufacturing processes, all driving up costs and time for research and development (R&D). As an emerging technology, scaling the production of neuromorphic chips to a level where they become cost-effective remains a significant challenge. The current manufacturing processes are not yet optimized for large-scale production, resulting in high costs per chip. The cost of adoption and innovation using neuromorphic technology is expensive for small companies and startups. Lack of economies of scale further restricts the widespread adoption and development of neuromorphic computing, inhibiting wider industry innovation. Advanced machine learning algorithms like natural language processing, image recognition, and decision-making tasks have added other factors to the complexity of the design of neuromorphic hardware. Designing hardware that can efficiently support these algorithms while maintaining low power consumption and high processing speed is a formidable task, restraining the growth of the neuromorphic computing market.

OPPORTUNITY: Increasing adoption of neuromorphic computing solutions in healthcare sector

There is a growing potential for AI and neuromorphic computing in medical science and medical imaging. Neuromorphic technologies revolutionize healthcare by streamlining workflow in medical services, increasing accuracy in diagnosis, and enhancing the outcome of treatment. Incorporating neuromorphic chips with medical imaging devices leads to faster processing and quicker diagnosis with greater productivity in facilities. AI in neuromorphic hardware could handle large datasets, help radiologists prioritize cases, and develop new applications in multi-modal imaging that will support the early detection of diseases or personalized treatments. The recent demands for miniaturization, low power consumption, quick treatments, and non-invasive clinical strategies in the healthcare industry have led healthcare professionals to seek new technological paradigms to improve diagnostic accuracy while ensuring patient compliance. Neuromorphic engineering, which implements neural models in hardware and software to mimic certain brain-like behaviors, helps usher in a new era of medicine through low-power, low-latency, small-footprint, and high-bandwidth solutions. The major health technology companies, such as IBM (US), Koninklijke Philips N.V. (Netherlands), General Electric Company (US), and Siemens (Germany), continue to invest heavily in these solutions, which fuel innovation and speed up adoption in the global market..

CHALLENGES: Ability to learn from unstructured stimuli data

Neuromorphic hardware comprises CPUs and GPUs, which feature unique characteristics such as synaptic connectivity and neuron models that could be challenging for the development of software that can run efficiently from one platform to another without major modifications. This diversity makes software development challenging since it may require knowledge and skills such as those in neuroscience-inspired algorithms and hardware-specific optimizations. The intensity of software development for neuromorphic hardware carries implications across different industries. It discourages developers from exploring the full potential of neuromorphic computing, leading to limited innovation in applications related to health diagnostics, robots' autonomy, and cybersecurity. This slows the adoption rate of neuromorphic computing as industries adopting efficient AI solutions might prefer traditional hardware due to a more mature ecosystem, constituting a major challenge for the market.

Neuromorphic Computing Market Ecosystem Analysis

The ecosystem of neuromorphic computing comprises players in computing and sensing products, as well as innovative startups developing neuromorphic products and technologies. Each one of these aspects collaborates towards the aim of advancing neuromorphic computing by sharing knowledge, resources, and expertise to attain end innovation in this field.

Neuromorphic computing providers such as Intel Corporation (US), IBM (US), BrainChip, Inc. (Australia), and SynSense (China) are at the core of the neuromorphic computing market and are responsible for developing neuromorphic products for various applications. These companies have created a competitive ecosystem by investing in R&D to develop highly efficient and reliable processors.

 

Processor segment to account for largest market share during forecast period

The processor segment will hold the highest market share during the forecast period. The highest market share is credited to their ability to handle tasks like pattern recognition and adaptive learning more efficiently by replicating neural network structures in hardware. Neuromorphic processors are designed to address several limitations of conventional processors, particularly in AI and ML. Traditional processors, including GPUs, design neural networks at the software level, which makes them less efficient than designing these networks in hardware. Some of the advantages of neuromorphic processors are power efficiency and performance. For example, Intel's Loihi processor features 131,072 artificial neurons and more than 130 million synapses and uses much less power when idle than traditional GPUs. This results in higher processor demand in the long run. The low power consumption and high performance of neuromorphic chips make them ideal for autonomous vehicles, as they efficiently process real-time sensory data essential for ADAS. Neuromorphic processors are at the forefront of meeting regulatory standards and enhancing ADAS capabilities. For example, the NHTSA's effort to see widespread adoption of ADAS in the US is driving the demand for these advanced neuromorphic processing units, thus fueling the market growth.

Edge segment to hold largest market share during forecast period

The edge segment will hold the largest market share in the neuromorphic computing market during the forecast period. Neuromorphic systems are flexible, with different neural network models and processing strategies that can be molded according to specific applications and allow edge devices to efficiently handle diverse tasks with minimal hardware changes. The ongoing advancements in neuromorphic hardware and software will continue to enhance the capabilities of edge devices, paving the way for more intelligent and responsive edge computing solutions. In October 2023, BrainChip (Australia) commercially released its Akida 2.0, the company's second-generation Akida platform, which marked a giant leap in edge AI technology. The new platform has upgrades like support for Temporal Event-Based Neural Network (TENN) acceleration and, on an optional basis, vision transformer hardware. The new version of Akida 2.0 exists in three different versions: Akida-E for energy efficiency, Akida-S for deep sub-micron microcontroller and SoC integration, and Akida-P for high-performance applications with vision transformer support. This release is expected to push edge AI ahead by allowing devices to run more autonomously from cloud systems and operate more proficiently. As businesses prioritize low latency, energy efficiency, and real-time processing, adopting edge AI solutions is expected to accelerate, further driving growth in this segment.

Natural Language Processing (NLP) to exhibit second highest CAGR during forecast period

Natural language processing is one of the promising applications of neuromorphic computing that leverage the brain-inspired design of spiking neural networks (SNNs) to enhance the efficiency and accuracy of language data processing. NLP combines computational linguistics rule-based modeling of human language with statistical, machine learning, and deep learning models. The rise in demand for real-time and efficient language processing in devices like smartphones and IoT devices necessitates low-power, high-performance solutions. Neuromorphic computing, with its power-aware architecture, addresses this problem effectively. As advancements in SNNs continue to evolve, their ability to handle complex NLP tasks is also improving, making them increasingly suitable for commercial and industrial applications. SNNs also have an improved energy efficiency as they can provide up to 32x more energy efficiency if applied for inference and 60x during training compared to standard deep neural networks, which is a benefit when it comes to adding neuromorphic computing to NLP systems, as they do not just reduce the cost of operations but also will open the possibility to deploy sophisticated language models in resource-constrained devices. This will drive the adoption and growth of neuromorphic NLP applications.

Consumer electronics vertical to secure largest market share during forecast period

Consumer electronics segment is projected to hold major share in neuromorphic computing industry during the forecast period. Smartphones benefit from neuromorphic technology's ability to handle power-hungry operations like biometrics more efficiently. Neuromorphic chips can provide for many complex tasks, such as facial recognition and voice commands, to be performed directly on the device, which minimizes the need to transfer data to and from the cloud. This also enhances performance while lowering the energy consumption related to cloud-based processing, further spurring the development of neuromorphic computing in this segment. There is also a growing demand for wearables in personal health and fitness, underscoring the importance of neuromorphic computing. According to Worldmetrics.org, the wearable technology market is projected to expand at a compound annual growth rate (CAGR) of more than 15% between 2020 and 2026. Wearables require continuous, real-time data processing and high energy efficiency due to their small form factor and reliance on battery power. Neuromorphic chips can perform these tasks with minimal power consumption, which makes them ideal for this application. Manufacturers in the consumer electronics industry are likely to focus on bringing in smart and more intelligent products, paving the way for the significant growth of the neuromorphic computing market.

Asia Pacific region to exhibit highest CAGR during forecast period

Asia Pacific will grow at the highest rate during the forecasted period. Asia Pacific governments are actively investing in AI technology by dedicating considerable resources to the development of AI infrastructure. For instance, China's "Next Generation Artificial Intelligence Development Plan" aims to establish itself as an international leader in AI by 2030, thereby providing an appropriate ecosystem for neuromorphic chip development and deployment. The major growth factors include other initiatives such as China's "Made in China 2025" and India's "Digital India" campaign and positive trade policies. An increase in neuromorphic chip investment and startups deploying them in sectors like consumer electronics and healthcare has attracted huge investments for their development and deployment. SynSense, for example, had raised USD 10 million through its recently closed, highly successful Pre-B+ funding round in 2023. Hong Kong-based Ausvic Capital led the funding round. The funding is anticipated to facilitate the mass production of its smart vision sensor Speck, which features an integrated neuromorphic AI processor. Since several new market players have shown their interest in neuromorphic computing and have escalated their investments in developing technologies, the market is expected to see a higher growth rate in the near future.

HIGHEST CAGR MARKET IN 2024-2030
CHINA FASTEST-GROWING MARKET IN THE REGION

Recent Developments of Neuromorphic Computing Market

  • In April 2024, Intel Corporation (US) launched Hala Point, the world's largest neuromorphic system. Hala Point has been used for brain-scale computing research at Sandia National Laboratories and could serve as a testbed for future AI and machine learning models. Utilizing Loihi 2 processors, it supports brain-inspired AI research and improves efficiency and sustainability, offering over 10 times more neuron capacity and up to 12 times higher performance than previous systems.
  • In March 2024, NXP Semiconductors (Netherlands) and NVIDIA Corporation (US) partnered to enhance AI deployment by integrating NVIDIA's TAO Toolkit with NXP edge devices. This collaboration enables NVIDIA's pre-trained models to run efficiently on NXP's Neural Processing Units (NPUs) in i.MX 93 processors, accelerating development and deployment in AI applications.
  • In February 2024, SynSense (China) acquired iniVation AG (Switzerland) to create a leading neuromorphic technology provider. The merger combines SynSense's ultra-low-power processing with iniVation's neuromorphic vision sensing, forming the SynSense Group. This integration aims to advance intelligent vision systems across consumer electronics, robotics, aerospace, and automotive industries.
  • In March 2023, BrainChip, Inc. (Australia) launched the second-generation Akida platform, which features advanced 8-bit processing, Vision Transformers, and Temporal Event-Based Neural Nets (TENN) for highly efficient, secure Edge AIoT applications, significantly enhancing performance in industrial, automotive, healthcare, and smart technologies.
  • In December 2022, Samsung Electronics Co., Ltd. and NAVER Corporation, which operates the search engine Naver, collaborated to develop semiconductor solutions tailored for hyper-scale artificial intelligence (AI) models. Companies intend to pool their hardware and software resources to accelerate the handling of massive AI workloads.

Key Market Players

Neuromorphic Computing Market Report Scope

Report Attribute Details
Estimated Market Size USD 28.5 million in 2024
Projected Market Size USD 1,325.2 million by 2030
Growth Rate  At  CAGR of  89.7% 
Market size available for years 2020-2030
Forecast units Value (USD Thousand/Million)
Segments Covered Offering; Deployment; Application; Vertical and Region.
Geographies covered North America, Europe, Asia Pacific, and Rest of the world (RoW)

Key Questions Addressed by the Report

What is the neuromorphic computing market's major driving factors and opportunities?
The major driving factors for neuromorphic computing include its energy efficiency, real-time processing, and growing demand in AI, edge computing, and healthcare. Key opportunities lie in autonomous vehicles, IoT devices, medical diagnostics, and brain-computer interfaces.
Which region is expected to hold the highest market share?
Asia Pacific commands a larger share of the neuromorphic computing market. The expanding industrial sector and different industries demand is driving the adoption of neuromorphic computing in the Asia Pacific market.
Who are the leading players in the global neuromorphic computing market?
Leading players operating in the neuromorphic computing market are Intel Corporation (US), IBM (US), Qualcomm Technologies, Inc. (US), Samsung Electronics Co., Ltd. (South Korea), Sony Corporation (Japan), and many more.
What are some of the technological advancements in the market?
Computational neuroscience, and integration of AI and ML are major technological advancements. Edge computing is another advancement which is expected to drive market growth.
What is the size of the global neuromorphic computing market?
The global neuromorphic computing market is expected to be valued at USD 28.5 million in 2024 and is projected to reach USD 1325.2 million by 2030, growing at a CAGR of 89.7% from 2024-2030.

 

 

 

 

Personalize This Research

  • Triangulate with your Own Data
  • Get Data as per your Format and Definition
  • Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
  • Any level of Personalization
Request A Free Customisation

Let Us Help You

  • What are the Known and Unknown Adjacencies Impacting the Neuromorphic Computing Market
  • What will your New Revenue Sources be?
  • Who will be your Top Customer; what will make them switch?
  • Defend your Market Share or Win Competitors
  • Get a Scorecard for Target Partners
Customized Workshop Request

Table of Contents

Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TITLE
PAGE NO
INTRODUCTION
23
RESEARCH METHODOLOGY
28
EXECUTIVE SUMMARY
42
PREMIUM INSIGHTS
46
MARKET OVERVIEW
50
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Rising adoption of neuromorphic hardware
    - Need for alternative approaches to enhance computational power
    - Growing application of AI and ML
    - Increasing demand for real-time data processing and decision-making capabilities
    RESTRAINTS
    - Lack of R&D investments
    - Complexity of algorithms
    - Shortage of educational resources and training opportunities
    OPPORTUNITIES
    - Ability to withstand harsh conditions of space
    - Increasing adoption in healthcare sector
    - Ability to automate complex decision-making processes in cybersecurity operations
    - Integration of neuroplasticity into neuromorphic computing
    CHALLENGES
    - Complications associated with software development
    - Complexities linked with developing computational models
  • 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.4 PRICING ANALYSIS
    INDICATIVE PRICING OF KEY PLAYERS, BY OFFERING, 2023
    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
    KEY TECHNOLOGIES
    - Convolutional neural networks
    - Recurrent neural networks
    - Spiking neural networks
    - Compute hardware
    - IBM TrueNorth
    - BrainChip's Akida
    - Loihi 2
    - Speck
    - DynapCNN
    - Groq northstar
    COMPLEMENTARY TECHNOLOGIES
    - Computational neuroscience
    ADJACENT TECHNOLOGIES
    - AI and ML
  • 5.9 PATENT ANALYSIS
  • 5.10 TRADE ANALYSIS
    IMPORT DATA (HS CODE 854231)
    EXPORT DATA (HS CODE 854231)
  • 5.11 KEY CONFERENCES AND EVENTS, 2024–2025
  • 5.12 CASE STUDY ANALYSIS
    INTEL LABS OFFERED LAVA NEUROMORPHIC FRAMEWORK TO CONCORDIA UNIVERSITY THAT OPTIMIZED HYPERPARAMETERS FOR LARGE SCALE PROBLEMS
    INTEL LABS AND CORNELL UNIVERSITY COLLABORATED TO TRAIN INTEL'S LOIHI NEUROMORPHIC CHIP TO IDENTIFY HAZARDOUS CHEMICALS BASED ON THEIR SCENTS
    TU/E AND NORTHWESTERN UNIVERSITY IMPLEMENTED NEUROMORPHIC BIOSENSORS CAPABLE OF ON-CHIP LEARNING THAT IMPROVED EFFICIENCY AND ACCURACY
  • 5.13 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    REGULATORY STANDARDS
  • 5.14 PORTER’S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITIVE RIVALRY
  • 5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
NEUROMORPHIC COMPUTING MARKET, BY OFFERING
96
  • 6.1 INTRODUCTION
  • 6.2 PROCESSOR
    RISING EMPHASIS ON BOOSTING ADOPTION OF ADAS TECHNOLOGIES TO DRIVE MARKET
  • 6.3 MEMORY
    HIGH EFFICIENCY AND LOW POWER CONSUMPTION TO FOSTER MARKET GROWTH
  • 6.4 SENSOR
    ABILITY TO DELIVER HIGH TEMPORAL RESOLUTIONS TO ACCELERATE DEMAND
  • 6.5 SOFTWARE
    GROWING DEMAND FOR EDGE DEVICES AND IOT SENSORS TO FUEL MARKET GROWTH
NEUROMORPHIC COMPUTING MARKET, BY DEPLOYMENT
107
  • 7.1 INTRODUCTION
  • 7.2 EDGE
    ABILITY TO HANDLE REAL-TIME DATA PROCESSING WITH LOW POWER REQUIREMENTS TO DRIVE MARKET
  • 7.3 CLOUD
    INCREASING COMPUTATIONAL NEEDS AND EMERGENCE OF CLOUD-NATIVE SOLUTIONS TO FUEL MARKET GROWTH
NEUROMORPHIC COMPUTING MARKET, BY APPLICATION
112
  • 8.1 INTRODUCTION
  • 8.2 IMAGE AND VIDEO PROCESSING/COMPUTER VISION
    GROWING EMPHASIS ON DEVELOPING SMART CITIES TO BOOST DEMAND
  • 8.3 NATURAL LANGUAGE PROCESSING (NLP)
    INCREASING DEMAND FOR REAL-TIME AND EFFICIENT LANGUAGE PROCESSING TO DRIVE MARKET
  • 8.4 SENSOR FUSION
    EXPANDING ROBOTICS INDUSTRY TO OFFER LUCRATIVE GROWTH OPPORTUNITIES
  • 8.5 OTHER APPLICATIONS
NEUROMORPHIC COMPUTING MARKET, BY VERTICAL
122
  • 9.1 INTRODUCTION
  • 9.2 CONSUMER ELECTRONICS
    GROWING APPLICATION IN SMART HOMES AND SMARTPHONES TO DRIVE MARKET
  • 9.3 AEROSPACE & DEFENSE
    ABILITY TO ENHANCE SITUATIONAL AWARENESS AND TACTICAL DECISION-MAKING CAPABILITY TO FOSTER MARKET GROWTH
  • 9.4 AUTOMOTIVE
    INCREASING NEED TO PREVENT VEHICLE ACCIDENTS TO DRIVE MARKET
  • 9.5 INDUSTRIAL
    GROWING TREND OF INDUSTRY 4.0 TO ACCELERATE DEMAND
  • 9.6 MEDICAL
    RISING NEED FOR EXTENDED BATTERY LIFE IN IMPLANTABLE DEVICES TO BOOST DEMAND
  • 9.7 IT & TELECOMMUNICATION
    ROLLOUT OF 5G AND UPCOMING 6G NETWORK TO OFFER LUCRATIVE GROWTH OPPORTUNITIES
  • 9.8 OTHER VERTICALS
    END USES OF NEUROMORPHIC COMPUTING
END USES OF NEUROMORPHIC COMPUTING
137
  • 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
NEUROMORPHIC COMPUTING MARKET, BY REGION
141
  • 11.1 INTRODUCTION
  • 11.2 NORTH AMERICA
    MACROECONOMIC OUTLOOK FOR NORTH AMERICA
    US
    - Government-led initiatives to boost neuromorphic architecture to drive market
    CANADA
    - Rising emphasis on AI research to fuel market growth
    MEXICO
    - Surging FDIs to offer lucrative growth opportunities
  • 11.3 EUROPE
    MACROECONOMIC OUTLOOK FOR EUROPE
    UK
    - Rising emphasis on developing and deploying AI-driven solutions to boost demand
    GERMANY
    - Increasing emphasis on digital innovation to drive market
    FRANCE
    - Growing demand among high-tech industries to fuel market growth
    ITALY
    - Growing emphasis on innovating advanced semiconductor technologies to accelerate demand
    SPAIN
    - Presence of strong research institutions and innovation hubs to drive demand
    REST OF EUROPE
  • 11.4 ASIA PACIFIC
    MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
    CHINA
    - Increasing focus on advancing AI and next-generation computing technologies to foster market growth
    JAPAN
    - Increased adoption in robotics and automation systems to spur demand
    SOUTH KOREA
    - Increasing focus on developing cutting-edge brain-inspired semiconductor technologies to offer lucrative growth opportunities
    INDIA
    - Increasing initiatives to boost semiconductor sector to drive market
    REST OF ASIA PACIFIC
  • 11.5 ROW
    MACROECONOMIC OUTLOOK FOR ROW
    MIDDLE EAST
    - Development of smart cities to drive market
    - GCC countries
    - Rest of Middle East
    AFRICA
    - Expanding data center infrastructure to boost demand
    SOUTH AMERICA
    - Increasing demand for smart and miniaturized technology solutions to fuel market growth
COMPETITIVE LANDSCAPE
170
  • 12.1 OVERVIEW
  • 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024
  • 12.3 REVENUE ANALYSIS, 2019–2023
  • 12.4 MARKET SHARE ANALYSIS, 2023
  • 12.5 COMPANY VALUATION AND FINANCIAL METRICS, 2023
  • 12.6 BRAND/PRODUCT COMPARISON
  • 12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2023
    - Company footprint
    - Region footprint
    - Offering footprint
    - Deployment footprint
    - Application footprint
    - Vertical footprint
  • 12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
    - Detailed list of key startups/SMEs
    - Competitive benchmarking of key startups/SMEs
  • 12.9 COMPETITIVE SCENARIOS
    PRODUCT LAUNCHES
    DEALS
    OTHER DEVELOPMENTS
COMPANY PROFILES
193
  • 13.1 KEY PLAYERS
    INTEL CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    QUALCOMM TECHNOLOGIES, INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    SAMSUNG ELECTRONICS CO., LTD.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    SONY CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - MnM view
    BRAINCHIP, INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SYNSENSE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    MEDIATEK INC.
    - Business overview
    - Products/Solutions/Services offered
    NXP SEMICONDUCTORS
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ADVANCED MICRO DEVICES, INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    OMNIVISION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
  • 13.2 OTHER PLAYERS
    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
APPENDIX
248
  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 NEUROMORPHIC COMPUTING MARKET: RISK ASSESSMENT
  • TABLE 2 INDICATIVE PRICING OF NEUROMORPHIC COMPUTING PRODUCTS OFFERED BY KEY PLAYERS, 2023 (USD)
  • TABLE 3 INDICATIVE PRICING OF NEUROMORPHIC COMPUTING PRODUCTS, 2023 (USD)
  • TABLE 4 AVERAGE SELLING PRICE TREND OF NEUROMORPHIC PROCESSORS, BY REGION, 2020–2023 (USD)
  • TABLE 5 AVERAGE SELLING PRICE TREND OF NEUROMORPHIC SENSORS, BY REGION, 2020–2023 (USD)
  • TABLE 6 AVERAGE SELLING PRICE TREND OF NEUROMORPHIC MEMORY, BY REGION, 2020–2023 (USD)
  • TABLE 7 ROLE OF KEY PLAYERS IN NEUROMORPHIC COMPUTING ECOSYSTEM
  • TABLE 8 PATENT REGISTRATIONS, 2024
  • TABLE 9 IMPORT DATA FOR HS CODE 847180-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 10 EXPORT DATA FOR HS CODE 847180-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 11 MARKET: KEY CONFERENCES AND EVENTS, 2024–2025
  • TABLE 12 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 14 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 15 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 16 SAFETY STANDARDS FOR NEUROMORPHIC COMPUTING IN NORTH AMERICA
  • TABLE 17 SAFETY STANDARDS FOR NEUROMORPHIC COMPUTING IN EUROPE
  • TABLE 18 SAFETY STANDARDS FOR NEUROMORPHIC COMPUTING IN ASIA PACIFIC
  • TABLE 19 SAFETY STANDARDS FOR NEUROMORPHIC COMPUTING IN ROW
  • TABLE 20 NEUROMORPHIC COMPUTING MARKET: DEGREE OF COMPETITION
  • TABLE 21 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS (%)
  • TABLE 22 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • TABLE 23 MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 24 MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 25 OFFERING: MARKET, 2020–2023 (THOUSAND UNITS)
  • TABLE 26 OFFERING: MARKET, 2024–2030 (THOUSAND UNITS)
  • TABLE 27 PROCESSOR: MARKET, BY DEPLOYMENT, 2020–2023 (USD THOUSAND)
  • TABLE 28 PROCESSOR: MARKET, BY DEPLOYMENT, 2024–2030 (USD THOUSAND)
  • TABLE 29 PROCESSOR: MARKET, BY APPLICATION, 2020–2023 (USD THOUSAND)
  • TABLE 30 PROCESSOR: MARKET, BY APPLICATION, 2024–2030 (USD THOUSAND)
  • TABLE 31 MEMORY: MARKET, BY DEPLOYMENT, 2020–2023 (USD THOUSAND)
  • TABLE 32 MEMORY: MARKET, BY DEPLOYMENT, 2024–2030 (USD THOUSAND)
  • TABLE 33 MEMORY: NEUROMORPHIC COMPUTING MARKET, BY APPLICATION, 2020–2023 (USD THOUSAND)
  • TABLE 34 MEMORY: MARKET, BY APPLICATION, 2024–2030 (USD THOUSAND)
  • TABLE 35 SENSOR: MARKET, BY DEPLOYMENT, 2020–2023 (USD THOUSAND)
  • TABLE 36 SENSOR: MARKET, BY DEPLOYMENT, 2024–2030 (USD THOUSAND)
  • TABLE 37 SENSOR: MARKET, BY APPLICATION, 2020–2023 (USD THOUSAND)
  • TABLE 38 SENSOR: NEUROMORPHIC COMPUTING MARKET, BY APPLICATION, 2024–2030 (USD THOUSAND)
  • TABLE 39 SOFTWARE: MARKET, BY DEPLOYMENT, 2020–2023 (USD THOUSAND)
  • TABLE 40 SOFTWARE: MARKET, BY DEPLOYMENT, 2024–2030 (USD THOUSAND)
  • TABLE 41 SOFTWARE: MARKET, BY APPLICATION, 2020–2023 (USD THOUSAND)
  • TABLE 42 SOFTWARE: MARKET, BY APPLICATION, 2024–2030 (USD THOUSAND)
  • TABLE 43 MARKET, BY DEPLOYMENT, 2020–2023 (USD MILLION)
  • TABLE 44 MARKET, BY DEPLOYMENT, 2024–2030 (USD MILLION)
  • TABLE 45 EDGE: MARKET, BY OFFERING, 2020–2023 (USD THOUSAND)
  • TABLE 46 EDGE: MARKET, BY OFFERING, 2024–2030 (USD THOUSAND)
  • TABLE 47 CLOUD: MARKET, BY OFFERING, 2020–2023 (USD THOUSAND)
  • TABLE 48 CLOUD: MARKET, BY OFFERING, 2024–2030 (USD THOUSAND)
  • TABLE 49 NEUROMORPHIC COMPUTING MARKET, BY APPLICATION, 2020–2023 (USD THOUSAND)
  • TABLE 50 MARKET, BY APPLICATION, 2024–2030 (USD THOUSAND)
  • TABLE 51 IMAGE AND VIDEO PROCESSING/COMPUTER VISION: MARKET, BY OFFERING, 2020–2023 (USD THOUSAND)
  • TABLE 52 IMAGE AND VIDEO PROCESSING/COMPUTER VISION: MARKET, BY OFFERING, 2024–2030 (USD THOUSAND)
  • TABLE 53 IMAGE AND VIDEO PROCESSING/COMPUTER VISION: NEUROMORPHIC COMPUTING MARKET, BY VERTICAL, 2020–2023 (USD THOUSAND)
  • TABLE 54 IMAGE AND VIDEO PROCESSING/COMPUTER VISION:  MARKET, BY VERTICAL, 2024–2030 (USD THOUSAND)
  • TABLE 55 NLP: NEUROMORPHIC COMPUTING MARKET, BY OFFERING, 2020–2023 (USD THOUSAND)
  • TABLE 56 NLP: MARKET, BY OFFERING, 2024–2030 (USD THOUSAND)
  • TABLE 57 NLP: MARKET, BY VERTICAL, 2020–2023 (USD THOUSAND)
  • TABLE 58 NLP: MARKET, BY VERTICAL, 2024–2030 (USD THOUSAND)
  • TABLE 59 SENSOR FUSION: MARKET, BY OFFERING, 2020–2023 (USD THOUSAND)
  • TABLE 60 SENSOR FUSION: MARKET, BY OFFERING, 2024–2030 (USD THOUSAND)
  • TABLE 61 SENSOR FUSION: MARKET, BY VERTICAL, 2020–2023 (USD THOUSAND)
  • TABLE 62 SENSOR FUSION:  MARKET, BY VERTICAL, 2024–2030 (USD THOUSAND)
  • TABLE 63 OTHER APPLICATIONS: MARKET, BY OFFERING, 2020–2023 (USD THOUSAND)
  • TABLE 64 OTHER APPLICATIONS: MARKET, BY OFFERING, 2024–2030 (USD THOUSAND)
  • TABLE 65 OTHER VERTICALS: MARKET, 2020–2023 (USD THOUSAND)
  • TABLE 66 OTHER VERTICALS: MARKET, 2024–2030 (USD THOUSAND)
  • TABLE 67 MARKET, BY VERTICAL, 2020–2023 (USD MILLION)
  • TABLE 68 NEUROMORPHIC COMPUTING MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 69 CONSUMER ELECTRONICS: MARKET, BY APPLICATION, 2020–2023 (USD THOUSAND)
  • TABLE 70 CONSUMER ELECTRONICS: MARKET, BY APPLICATION, 2024–2030 (USD THOUSAND)
  • TABLE 71 CONSUMER ELECTRONICS: MARKET, BY REGION, 2020–2023 (USD THOUSAND)
  • TABLE 72 CONSUMER ELECTRONICS: MARKET, BY REGION, 2024–2030 (USD THOUSAND)
  • TABLE 73 AEROSPACE & DEFENSE: MARKET, BY APPLICATION, 2020–2023 (USD THOUSAND)
  • TABLE 74 AEROSPACE & DEFENSE: MARKET, BY APPLICATION, 2024–2030 (USD THOUSAND)
  • TABLE 75 AEROSPACE & DEFENSE: MARKET, BY REGION, 2020–2023 (USD THOUSAND)
  • TABLE 76 AEROSPACE & DEFENSE: MARKET, BY REGION, 2024–2030 (USD THOUSAND)
  • TABLE 77 AUTOMOTIVE: NEUROMORPHIC COMPUTING MARKET, BY APPLICATION, 2024–2030 (USD THOUSAND)
  • TABLE 78 AUTOMOTIVE: MARKET, BY REGION, 2024–2030 (USD THOUSAND)
  • TABLE 79 INDUSTRIAL: MARKET, BY APPLICATION, 2020–2023 (USD THOUSAND)
  • TABLE 80 INDUSTRIAL: MARKET, BY APPLICATION, 2024–2030 (USD THOUSAND)
  • TABLE 81 INDUSTRIAL: MARKET, BY REGION, 2020–2023 (USD THOUSAND)
  • TABLE 82 INDUSTRIAL: NEUROMORPHIC COMPUTING MARKET, BY REGION, 2024–2030 (USD THOUSAND)
  • TABLE 83 MEDICAL: MARKET, BY APPLICATION, 2024–2030 (USD THOUSAND)
  • TABLE 84 MEDICAL: MARKET, BY REGION, 2024–2030 (USD THOUSAND)
  • TABLE 85 IT & TELECOMMUNICATION: MARKET, BY APPLICATION, 2024–2030 (USD THOUSAND)
  • TABLE 86 IT & TELECOMMUNICATION: MARKET, BY REGION, 2024–2030 (USD THOUSAND)
  • TABLE 87 OTHER VERTICALS: MARKET, BY APPLICATION, 2020–2023 (USD THOUSAND)
  • TABLE 88 OTHER VERTICALS: MARKET, BY APPLICATION, BY COUNTRY, 2024–2030 (USD THOUSAND)
  • TABLE 89 OTHER VERTICALS: MARKET, BY REGION, 2020–2023 (USD THOUSAND)
  • TABLE 90 OTHER VERTICALS: MARKET, BY REGION, 2024–2030 (USD THOUSAND)
  • TABLE 91 MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 92 MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 93 NORTH AMERICA: MARKET, BY COUNTRY, 2020–2023 (USD THOUSAND)
  • TABLE 94 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2030 (USD THOUSAND)
  • TABLE 95 NORTH AMERICA: MARKET, BY VERTICAL, 2020–2023 (USD THOUSAND)
  • TABLE 96 NORTH AMERICA: NEUROMORPHIC COMPUTING MARKET, BY VERTICAL, 2024–2030 (USD THOUSAND)
  • TABLE 97 EUROPE: MARKET, BY COUNTRY, 2020–2023 (USD THOUSAND)
  • TABLE 98 EUROPE: MARKET, BY COUNTRY, 2024–2030 (USD THOUSAND)
  • TABLE 99 EUROPE: MARKET, BY VERTICAL, 2020–2023 (USD THOUSAND)
  • TABLE 100 EUROPE: MARKET, BY VERTICAL, 2024–2030 (USD THOUSAND)
  • TABLE 101 ASIA PACIFIC: MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 102 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 103 ASIA PACIFIC: MARKET, BY VERTICAL, 2020–2023 (USD THOUSAND)
  • TABLE 104 ASIA PACIFIC: MARKET, BY VERTICAL, 2024–2030 (USD THOUSAND)
  • TABLE 105 ROW: MARKET, BY REGION, 2020–2023 (USD THOUSAND)
  • TABLE 106 ROW: MARKET, BY REGION, 2024–2030 (USD THOUSAND)
  • TABLE 107 ROW: MARKET, BY VERTICAL, 2020–2023 (USD THOUSAND)
  • TABLE 108 ROW: MARKET, BY VERTICAL, 2024–2030 (USD THOUSAND)
  • TABLE 109 MIDDLE EAST: MARKET, BY COUNTRY, 2020–2023 (USD THOUSAND)
  • TABLE 110 MIDDLE EAST: MARKET, BY COUNTRY, 2024–2030 (USD THOUSAND)
  • TABLE 111 MARKET: OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS, 2020–2024
  • TABLE 112 MARKET: DEGREE OF COMPETITION, 2023
  • TABLE 113 MARKET: REGION FOOTPRINT
  • TABLE 114 MARKET: OFFERING FOOTPRINT
  • TABLE 115 MARKET: DEPLOYMENT FOOTPRINT
  • TABLE 116 MARKET: APPLICATION FOOTPRINT
  • TABLE 117 NEUROMORPHIC COMPUTING MARKET: VERTICAL FOOTPRINT
  • TABLE 118 MARKET: LIST OF KEY STARTUPS/SMES
  • TABLE 119 MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
  • TABLE 120 MARKET: PRODUCT LAUNCHES, JANUARY 2020–JUNE 2024
  • TABLE 121 MARKET: DEALS, JANUARY 2020–JUNE 2024
  • TABLE 122 MARKET: OTHER DEVELOPMENTS, JANUARY 2020–JUNE 2024
  • TABLE 123 INTEL CORPORATION: COMPANY OVERVIEW
  • TABLE 124 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 125 INTEL CORPORATION: PRODUCT LAUNCHES
  • TABLE 126 INTEL CORPORATION: DEALS
  • TABLE 127 IBM: COMPANY OVERVIEW
  • TABLE 128 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 129 IBM: PRODUCT LAUNCHES
  • TABLE 130 IBM: DEALS
  • TABLE 131 QUALCOMM TECHNOLOGIES, INC.: COMPANY OVERVIEW
  • TABLE 132 QUALCOMM TECHNOLOGIES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 133 QUALCOMM TECHNOLOGIES, INC.: DEALS
  • TABLE 134 QUALCOMM TECHNOLOGIES, INC.: OTHER DEVELOPMENTS
  • TABLE 135 SAMSUNG ELECTRONICS CO., LTD.: COMPANY OVERVIEW
  • TABLE 136 SAMSUNG ELECTRONICS CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 137 SAMSUNG ELECTRONICS CO., LTD.: PRODUCT LAUNCHES
  • TABLE 138 SAMSUNG ELECTRONICS CO., LTD.: DEALS
  • TABLE 139 SONY CORPORATION: COMPANY OVERVIEW
  • TABLE 140 SONY CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 141 BRAINCHIP, INC.: COMPANY OVERVIEW
  • TABLE 142 BRAINCHIP, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 143 BRAINCHIP, INC.: PRODUCT LAUNCHES
  • TABLE 144 BRAINCHIP, INC.: DEALS
  • TABLE 145 BRAINCHIP, INC.: OTHER DEVELOPMENTS
  • TABLE 146 SYNSENSE: COMPANY OVERVIEW
  • TABLE 147 SYNSENSE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 148 SYNSENSE: PRODUCT LAUNCHES
  • TABLE 149 SYNSENSE: DEALS
  • TABLE 150 MEDIATEK INC.: COMPANY OVERVIEW
  • TABLE 151 MEDIATEK INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 152 NXP SEMICONDUCTORS: COMPANY OVERVIEW
  • TABLE 153 NXP SEMICONDUCTORS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 154 NXP SEMICONDUCTORS: PRODUCT LAUNCHES
  • TABLE 155 NXP SEMICONDUCTORS: DEALS
  • TABLE 156 ADVANCED MICRO DEVICES, INC.: COMPANY OVERVIEW
  • TABLE 157 ADVANCED MICRO DEVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 158 ADVANCED MICRO DEVICES, INC.: PRODUCT LAUNCHES
  • TABLE 159 ADVANCED MICRO DEVICES, INC.: DEALS
  • TABLE 160 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: COMPANY OVERVIEW
  • TABLE 161 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 162 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: PRODUCT LAUNCHES
  • TABLE 163 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: DEALS
  • TABLE 164 OMNIVISION: COMPANY OVERVIEW
  • TABLE 165 OMNIVISION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 166 OMNIVISION: PRODUCT LAUNCHES
LIST OF FIGURES
 
  • FIGURE 1 NEUROMORPHIC COMPUTING MARKET SEGMENTATION AND REGIONAL SCOPE
  • FIGURE 2 MARKET: RESEARCH DESIGN
  • FIGURE 3 MARKET: RESEARCH FLOW OF MARKET SIZE ESTIMATION
  • FIGURE 4 MARKET: SUPPLY-SIDE ANALYSIS
  • FIGURE 5 MARKET: BOTTOM-UP APPROACH
  • FIGURE 6 MARKET: TOP-DOWN APPROACH
  • FIGURE 7 NEUROMORPHIC COMPUTING MARKET: DATA TRIANGULATION
  • FIGURE 8 PROCESSOR SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2030
  • FIGURE 9 EDGE SEGMENT TO DOMINATE MARKET IN 2030
  • FIGURE 10 IMAGE AND VIDEO PROCESSING/COMPUTER VISION SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2030
  • FIGURE 11 CONSUMER ELECTRONICS SEGMENT TO DOMINATE MARKET IN 2024
  • FIGURE 12 NORTH AMERICA HELD LARGEST MARKET SHARE IN 2023
  • FIGURE 13 RISING DEMAND FOR NEUROMORPHIC COMPUTING IN AUTOMOTIVE INDUSTRY TO DRIVE MARKET
  • FIGURE 14 SOFTWARE SEGMENT TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 15 CLOUD SEGMENT TO RECORD HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 16 IMAGE AND VIDEO PROCESSING/COMPUTER VISION SEGMENT TO DOMINATE MARKET IN 2030
  • FIGURE 17 CONSUMER ELECTRONICS TO ACCOUNT FOR LARGEST MARKET SHARE IN 2030
  • FIGURE 18 CHINA TO EXHIBIT HIGHEST CAGR IN GLOBAL MARKET DURING FORECAST PERIOD
  • FIGURE 19 ASIA PACIFIC TO RECORD HIGHEST CAGR IN MARKET DURING FORECAST PERIOD
  • FIGURE 20 NEUROMORPHIC COMPUTING MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 21 MARKET: IMPACT ANALYSIS OF DRIVERS
  • FIGURE 22 MARKET: IMPACT ANALYSIS OF RESTRAINTS
  • FIGURE 23 MARKET: IMPACT ANALYSIS OF OPPORTUNITIES
  • FIGURE 24 MARKET: IMPACT ANALYSIS OF CHALLENGES
  • FIGURE 25 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 26 INDICATIVE PRICING OF OFFERINGS OF KEY PLAYERS, 2023
  • FIGURE 27 AVERAGE SELLING PRICE TREND OF NEUROMORPHIC PROCESSORS, BY REGION, 2020–2023
  • FIGURE 28 AVERAGE SELLING PRICE TREND OF NEUROMORPHIC SENSORS, BY REGION, 2020–2023
  • FIGURE 29 AVERAGE SELLING PRICE TREND OF NEUROMORPHIC MEMORY, BY REGION, 2020–2023
  • FIGURE 30 MARKET: VALUE CHAIN ANALYSIS
  • FIGURE 31 NEUROMORPHIC COMPUTING ECOSYSTEM
  • FIGURE 32 FUNDS AUTHORIZED FOR NEUROMORPHIC COMPUTING STARTUPS
  • FIGURE 33 PATENTS APPLIED AND GRANTED, 2014–2024
  • FIGURE 34 IMPORT DATA OF HS CODE 854231-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD MILLION)
  • FIGURE 35 EXPORT DATA OF HS CODE 854231-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD MILLION)
  • FIGURE 36 MARKET: PORTER’S FIVE FORCES ANALYSIS
  • FIGURE 37 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
  • FIGURE 38 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • FIGURE 39 SOFTWARE SEGMENT TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 40 CLOUD SEGMENT TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 41 IMAGE AND VIDEO PROCESSING/COMPUTER VISION SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 42 CONSUMER ELECTRONICS SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 43 ASIA PACIFIC TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 44 NORTH AMERICA:  MARKET SNAPSHOT
  • FIGURE 45 CANADA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 46 EUROPE: NEUROMORPHIC COMPUTING MARKET SNAPSHOT
  • FIGURE 47 ITALY TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 48 ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 49 CHINA TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 50 ROW: MARKET SNAPSHOT
  • FIGURE 51 MIDDLE EAST TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 52 NEUROMORPHIC COMPUTING MARKET: REVENUE ANALYSIS OF FIVE KEY PLAYERS, 2021–2023
  • FIGURE 53 MARKET: SHARE OF KEY PLAYERS, 2023
  • FIGURE 54 NEUROMORPHIC COMPUTATION MARKET: COMPANY VALUATION
  • FIGURE 55 NEUROMORPHIC COMPUTATION MARKET: FINANCIAL METRICS
  • FIGURE 56 BRAND/PRODUCT COMPARISON OF MAJOR COMPANIES
  • FIGURE 57 MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
  • FIGURE 58 MARKET: COMPANY FOOTPRINT
  • FIGURE 59 NEUROMORPHIC COMPUTING MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
  • FIGURE 60 INTEL CORPORATION: COMPANY SNAPSHOT
  • FIGURE 61 IBM: COMPANY SNAPSHOT
  • FIGURE 62 QUALCOMM TECHNOLOGIES, INC.: COMPANY SNAPSHOT
  • FIGURE 63 SAMSUNG ELECTRONICS CO., LTD.: COMPANY SNAPSHOT
  • FIGURE 64 SONY CORPORATION: COMPANY SNAPSHOT
  • FIGURE 65 BRAINCHIP, INC.: COMPANY SNAPSHOT
  • FIGURE 66 MEDIATEK INC.: COMPANY SNAPSHOT
  • FIGURE 67 NXP SEMICONDUCTORS: COMPANY SNAPSHOT
  • FIGURE 68 ADVANCED MICRO DEVICES, INC.: COMPANY SNAPSHOT
  • FIGURE 69 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: COMPANY SNAPSHOT

 

The research process for this technical, market-oriented, and commercial study of the neuromorphic computing market included the systematic gathering, recording, and analysis of data about companies operating in the market. It involved the extensive use of secondary sources, directories, and databases (Factiva, Oanda, and OneSource) to identify and collect relevant information. In-depth interviews were conducted with various primary respondents, including experts from core and related industries and preferred manufacturers, to obtain and verify critical qualitative and quantitative information as well as to assess the growth prospects of the market. Key players in the neuromorphic computing market were identified through secondary research, and their market rankings were determined through primary and secondary research. This included studying annual reports of top players and interviewing key industry experts, such as CEOs, directors, and marketing executives.

Secondary Research

In the secondary research process, various secondary sources were used to identify and collect information for this study. These include annual reports, press releases, and investor presentations of companies, whitepapers, certified publications, and articles from recognized associations and government publishing sources. Research reports from a few consortiums and councils were also consulted to structure qualitative content. Secondary sources included corporate filings (such as annual reports, investor presentations, and financial statements); trade, business, and professional associations; white papers; Journals and certified publications; articles by recognized authors; gold-standard and silver-standard websites; directories; and databases. Data was also collected from secondary sources, such as the International Trade Centre (ITC) (Switzerland), and the International Monetary Fund (IMF).

List of key secondary sources

Source

Web Link

IEEE

https://www.ieee.org/

U.S. Department of Energy
Office of Scientific and Technical Information

https://www.osti.gov/

Open Neuromorphic

https://open-neuromorphic.org/

IOPscience

https://iopscience.iop.org/

NIST

https://www.nist.gov/

Data Science Association

https://www.datascienceassn.org/

Sandia National Laboratories

https://www.sandia.gov/

National Library of Medicine

https://www.ncbi.nlm.nih.gov/

Los Alamos National Laboratory

https://discover.lanl.gov/

Primary Research

Extensive primary research was accomplished after understanding and analyzing the neuromorphic computing market scenario through secondary research. Several primary interviews were conducted with key opinion leaders from both demand- and supply-side vendors across four major regions—North America, Europe, Asia Pacific, and RoW. Approximately 30% of the primary interviews were conducted with the demand side, and 70% with the supply side. Primary data was collected through questionnaires, emails, and telephonic interviews. Various departments within organizations, such as sales, operations, and administration, were contacted to provide a holistic viewpoint in the report.

Note: Other designations include technology heads, media analysts, sales managers, marketing managers, and product managers.

The three tiers of the companies are based on their total revenues as of 2023 ? Tier 1: >USD 1 billion, Tier 2: USD 500 million–1 billion, and Tier 3: USD 500 million.

About the assumptions considered for the study, To know download the pdf brochure

Market Size Estimation

In the complete market engineering process, both top-down and bottom-up approaches were used, along with several data triangulation methods, to estimate and forecast the size of the market and its segments and subsegments listed in the report. Extensive qualitative and quantitative analyses were carried out on the complete market engineering process to list the key information/insights pertaining to neuromorphic computing market.

The key players in the market were identified through secondary research, and their rankings in the respective regions determined through primary and secondary research. This entire procedure involved the study of the annual and financial reports of top players, and interviews with industry experts such as chief executive officers, vice presidents, directors, and marketing executives for quantitative and qualitative key insights. All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources. All parameters that affect the markets covered in this research study were accounted for, viewed in extensive detail, verified through primary research, and analyzed to obtain the final quantitative and qualitative data. This data was consolidated, supplemented with detailed inputs and analysis from MarketsandMarkets, and presented in this report.

Bottom-Up Approach

  • Identifying various verticals of neuromorphic computing
  • Analyzing the penetration of each type of neuromorphic computing technology through secondary and primary research
  • Analyzing the penetration of neuromorphic computing for different applications and verticals through secondary and primary research
  • Conducting multiple discussion sessions with key opinion leaders to understand the detailed working of neuromorphic computing and their implementation in multiple applications; this helped analyze the break-up of the scope of work carried out by each major company
  • Verifying and cross-checking the estimates at every level with key opinion leaders, including CEOs, directors, operation managers, and finally with MarketsandMarkets domain experts
  • Studying various paid and unpaid sources of information, such as annual reports, press releases, white papers, and databases

Top-Down Approach

  • Focusing initially on the top-line investments and expenditures being made in the ecosystem of the neuromorphic computing market; further, splitting the key market areas based on offering, deployment, application, vertical, and region, and listing the key developments
  • Identifying all leading players and applications in the neuromorphic computing market based on region through secondary research and thoroughly verifying them through a brief discussion with industry experts
  • Analyzing revenues, product mix, geographic presence, and key applications served by all identified players to estimate and arrive at percentage splits for all key segments
  • Discussing splits with the industry experts to validate the information and identify key growth pockets across all key segments
  • Breaking down the total market based on verified splits and key growth pockets across all segments

Neuromorphic Computing Market : Top-Down and Bottom-Up Approach

Data Triangulation

After arriving at the overall market size from the market size estimation process explained above, the total market was split into several segments and subsegments. Data triangulation and market breakdown procedures were employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments. The data was triangulated by studying various factors and trends from both demand and supply sides. Along with this, the market size was validated using both top-down and bottom-up approaches.

Market Definition

Neuromorphic computing is a cutting-edge approach to designing computing systems that mimic the structure and functioning of the human brain's neural networks. It involves the development of hardware and software that replicate the way neurons communicate and process information, using specialized architectures like spiking neural networks (SNNs). Neuromorphic systems are highly energy-efficient, capable of real-time learning, and can process complex sensory data, such as images and sounds, with minimal power consumption. This technology is used in applications ranging from AI and robotics to healthcare, autonomous vehicles, and edge computing. These are used across various industries like consumer electronics, aerospace & defense, automotive, industrial, medical, IT & telecommunication, others.

Key Stakeholders

  • Neuromorphic computing device manufacturers
  • Research organizations and universities
  • Original equipment manufacturers (OEMs)
  • Technology standard organizations, forums, alliances, and associations
  • Analysts and strategic business planners
  • Government bodies, venture capitalists, and private equity firms
  • Existing and prospective end users
  • Venture capitalists, private equity firms, and startup companies
  • Distributors and traders

Report Objectives

  • To define, describe, segment, and forecast the neuromorphic computing market size, in terms of value, based on offering, deployment, application, vertical, and region
  • To forecast the market size, in terms of value, across North America, Europe, Asia Pacific, and the Rest of the World (RoW)
  • To present detailed information regarding the major factors influencing the growth of the market (drivers, restraints, opportunities, and challenges)
  • To provide an ecosystem analysis, case study analysis, patent analysis, technology analysis, ASP analysis, Porter’s Five Forces analysis, investment and funding scenario, and regulations pertaining to the market.
  • To offer a comprehensive overview of the value chain of the neuromorphic computing market ecosystem
  • To critically analyze micromarkets1 with respect to individual growth trends, prospects, and contributions to the total market
  • To strategically profile the key players and comprehensively analyze their market shares and core competencies
  • To assess the opportunities in the market for stakeholders and describe the competitive landscape of the market
  • To analyze competitive developments in the market, such as collaborations, agreements, partnerships, product developments, and research and development (R&D)

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 7)

 

Previous Versions of this Report

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

Report Code SE 3744
Published in Oct, 2024, By MarketsandMarkets™

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
Published in May, 2021, By MarketsandMarkets™

Neuromorphic Computing Market by Offering (Hardware, Software), Application (Image Recognition, Signal Recognition, Data Mining), Industry (Aerospace & Defense, IT & Telecom, Automotive, Medical & Industrial) and Geography - Global Forecast to 2022

Report Code SE 3744
Published in Sep, 2016, By MarketsandMarkets™

Neuromorphic Chip Market by Application (Image recognition, Speech Recognition, Data Mining) , End-User Industry (Aerospace, Defense & Military, Medical, Industrial, Automotive, Consumer, Other Industries), and Geography - Global Forecast & Analysis to 2016 - 2022

Report Code SE 3744
Published in Sep, 2015, By MarketsandMarkets™

Custom Market Research Services

We Will Customise The Research For You, In Case The Report Listed Above Does Not Meet With Your Requirements

Get 10% Free Customisation

Growth opportunities and latent adjacency in Neuromorphic Computing Market

DMCA.com Protection Status