Neuromorphic Computing Market
Neuromorphic Computing Market Forecasts to 2030 - Global Analysis By Component (Neuromorphic Chips, Software, Sensors, Memory, Interfaces and Other Components), Deployment, Technology, Application, End User and By Geography
According to Stratistics MRC, the Global Neuromorphic Computing Market is accounted for $6.3 billion in 2024 and is expected to reach $22.2 billion by 2030 growing at a CAGR of 23.2% during the forecast period. Neuromorphic computing emulates the brain's neural structure to perform complex computations efficiently. Unlike traditional processors, it uses networks of artificial neurons and synapses to process information, enabling tasks such as pattern recognition, decision-making, and learning in a manner inspired by biological systems. This approach offers advantages in speed, energy efficiency, and adaptability, making it suitable for applications like machine learning, robotics, and sensory processing.
According to Cisco Systems, the number of connected wearable devices globally in 2022 reached 1,110 million. Also, in October 2023, Prophesee, a developer of cutting-edge neuromorphic vision systems, unveiled the GenX320 Event-based Metavision sensor.
Market Dynamics:
Driver:
Need for more powerful and efficient AI/ML systems
Neuromorphic computing offers advantages in mimicking brain-like neural networks, enhancing capabilities for processing complex data and performing real-time computations with greater energy efficiency than traditional architectures. As industries seek to leverage AI and machine learning for advanced analytics, pattern recognition, and decision-making, the demand for neuromorphic computing solutions is rising.
Restraint:
Limited software ecosystem
Various applications of neuromorphic computing require specialized software tools and frameworks tailored to their unique requirements, leading to fragmentation and interoperability issues. This limitation restricts the development of comprehensive solutions and slows down the deployment of neuromorphic systems across industries. Moreover, the scarcity of standardized development environments and support services complicates integration with existing infrastructure and hampers scalability.
Opportunity:
Growing demand for brain-inspired computing solutions
Brain-inspired computing solutions solutions, inspired by the brain's neural architecture, offer advantages in energy efficiency, parallel processing, and cognitive capabilities. Industries seeking more powerful AI and machine learning capabilities are increasingly adopting neuromorphic computing for tasks requiring real-time data processing, pattern recognition, and decision-making. As demand rises across sectors such as healthcare, robotics, and IoT, investments in neuromorphic hardware and software continue to grow.
Threat:
Complexity of algorithms and backend operations
Developing and optimizing neural network algorithms for neuromorphic architectures requires specialized expertise and resources, leading to higher development costs and longer deployment times. Additionally, backend operations such as data management, synchronization, and scaling across distributed systems can be intricate and resource-intensive. These complexities hinder seamless integration with existing IT infrastructures and limit accessibility to smaller organizations.
Covid-19 Impact
The COVID-19 pandemic had a favorable influence on the medical business market. Several market leaders, including IBM, Hewlett Packard, and Qualcomm, pushed their neuromorphic computing solutions into several hospitals and clinics worldwide. Their technologies' computational skills were able to reduce various difficulties inside a normal hospital ecosystem. The pandemic kept the capital equipment sector humming with a strong demand for next-generation electronics.
The neuromorphic chips segment is expected to be the largest during the forecast period
The neuromorphic chips is expected to be the largest during the forecast period as these chips enable faster, energy-efficient processing of complex data, enhancing the performance of neuromorphic algorithms and applications. Industries benefit from improved capabilities in AI, machine learning, and sensory processing, driving adoption in sectors like healthcare diagnostics, autonomous systems, and IoT.
The neuromorphic vision systems segment is expected to have the highest CAGR during the forecast period
The neuromorphic vision systems segment is expected to have the highest CAGR during the forecast period as these systems replicate biological visual processing in digital environments, enabling real-time interpretation of visual data with high accuracy and efficiency. Industries such as autonomous vehicles, surveillance, and augmented reality benefit from improved object recognition, scene understanding, and situational awareness. The integration of neuromorphic vision systems with neuromorphic computing platforms enhances overall system performance and efficiency, driving demand for specialized hardware and software solutions.
Region with largest share:
North America is projected to hold the largest market share during the forecast period as early adopters in the North American market, such as the U.S. and Canada, are the frontiers of neuromorphic computing system applications. One of the major trends in the region is AI based voice and speech recognition technology. The integration facilitated fine-tuning its speech recognition engines to provide a better voice experience.
Region with highest CAGR:
Europe is projected to hold the highest CAGR over the forecast period as there are several initiatives and organizations in Europe that are focused on advancing the development and adoption of neuromorphic computing technologies. In addition, the increasing use of biometry in the European countries is catering to a whole new implementation area to the image processing applications of neuromorphic computing. Overall, Europe is a key player in the field of neuromorphic computing, and there are many opportunities for organizations and researchers to get involved in this exciting and rapidly evolving technology.
Key players in the market
Some of the key players in Neuromorphic Computing market include BrainChip Holdings Ltd, General Vision Inc., GrAI Matter Labs, Gyrfalcon Technology Inc., Hewlett Packard Company, HRL Laboratories, LLC, IBM Corporation, Intel Corporation, International Business Machines Corporation, Knowm Inc, Nepes Corporation, Qualcomm Technologies, Inc, Samsung Electronics Co. Ltd, SK Hynix Inc., SynSense AG and Vicarious FPC Inc.
Key Developments:
In June 2024, BrainChip Introduces TENNs-PLEIADES in New White Paper. The white paper covers topics related to temporal network architectures, event-based benchmark experiments and possibilities that such an approach can achieve.
In June 2024, BrainChip and Frontgrade Gaisler Augment Space-Grade Microprocessors with AI Capabilities. This collaboration represents a significant milestone as it aims to introduce the first space-grade SoC worldwide with incorporated true artificial intelligence (AI) capabilities.
In November 2023, HP Partners with INDO-MIM to Advance Metal Additive Manufacturing. INDO-MIM has initially invested in three cutting-edge HP Metal Jet S100 printers as part of this collaboration, strengthening their commitment to advancing additive manufacturing globally.
Components Covered:
• Neuromorphic Chips
• Software
• Sensors
• Memory
• Interfaces
• Other Components
Deployments Covered:
• Edge Computing
• Cloud Computing
Technologies Covered:
• Memristive Neural Networks (MNNs)
• Spiking Neural Networks (SNNs)
• Neuromorphic Hardware
Applications Covered:
• Robotics
• Machine Learning
• Neuromorphic Vision Systems
• Brain-Computer Interfaces (BCIs)
• Natural Language Processing
• Sensory Processing
• Other Applications
End Users Covered:
• Healthcare & Life Sciences
• IT & Telecom
• Automotive
• Consumer Electronics
• Defense & Aerospace
• Industrial Automation
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 Application Analysis
3.8 End User Analysis
3.9 Emerging Markets
3.10 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Neuromorphic Computing Market, By Component
5.1 Introduction
5.2 Neuromorphic Chips
5.3 Software
5.4 Sensors
5.5 Memory
5.6 Interfaces
5.7 Other Components
6 Global Neuromorphic Computing Market, By Deployment
6.1 Introduction
6.2 Edge Computing
6.3 Cloud Computing
7 Global Neuromorphic Computing Market, By Technology
7.1 Introduction
7.2 Memristive Neural Networks (MNNs)
7.3 Spiking Neural Networks (SNNs)
7.4 Neuromorphic Hardware
8 Global Neuromorphic Computing Market, By Application
8.1 Introduction
8.2 Robotics
8.3 Machine Learning
8.4 Neuromorphic Vision Systems
8.5 Brain-Computer Interfaces (BCIs)
8.6 Natural Language Processing
8.7 Sensory Processing
8.8 Other Applications
9 Global Neuromorphic Computing Market, By End User
9.1 Introduction
9.2 Healthcare & Life Sciences
9.3 IT & Telecom
9.4 Automotive
9.5 Consumer Electronics
9.6 Defense & Aerospace
9.7 Industrial Automation
9.8 Other End Users
10 Global Neuromorphic Computing Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 BrainChip Holdings Ltd
12.2 General Vision Inc.
12.3 GrAI Matter Labs
12.4 Gyrfalcon Technology Inc.
12.5 Hewlett Packard Company
12.6 HRL Laboratories, LLC
12.7 IBM Corporation
12.8 Intel Corporation
12.9 International Business Machines Corporation
12.10 Knowm Inc
12.11 Nepes Corporation
12.12 Qualcomm Technologies, Inc
12.13 Samsung Electronics Co. Ltd
12.14 SK Hynix Inc.
12.15 SynSense AG
12.16 Vicarious FPC Inc.
List of Tables
1 Global Neuromorphic Computing Market Outlook, By Region (2022-2030) ($MN)
2 Global Neuromorphic Computing Market Outlook, By Component (2022-2030) ($MN)
3 Global Neuromorphic Computing Market Outlook, By Neuromorphic Chips (2022-2030) ($MN)
4 Global Neuromorphic Computing Market Outlook, By Software (2022-2030) ($MN)
5 Global Neuromorphic Computing Market Outlook, By Sensors (2022-2030) ($MN)
6 Global Neuromorphic Computing Market Outlook, By Memory (2022-2030) ($MN)
7 Global Neuromorphic Computing Market Outlook, By Interfaces (2022-2030) ($MN)
8 Global Neuromorphic Computing Market Outlook, By Other Components (2022-2030) ($MN)
9 Global Neuromorphic Computing Market Outlook, By Deployment (2022-2030) ($MN)
10 Global Neuromorphic Computing Market Outlook, By Edge Computing (2022-2030) ($MN)
11 Global Neuromorphic Computing Market Outlook, By Cloud Computing (2022-2030) ($MN)
12 Global Neuromorphic Computing Market Outlook, By Technology (2022-2030) ($MN)
13 Global Neuromorphic Computing Market Outlook, By Memristive Neural Networks (MNNs) (2022-2030) ($MN)
14 Global Neuromorphic Computing Market Outlook, By Spiking Neural Networks (SNNs) (2022-2030) ($MN)
15 Global Neuromorphic Computing Market Outlook, By Neuromorphic Hardware (2022-2030) ($MN)
16 Global Neuromorphic Computing Market Outlook, By Application (2022-2030) ($MN)
17 Global Neuromorphic Computing Market Outlook, By Robotics (2022-2030) ($MN)
18 Global Neuromorphic Computing Market Outlook, By Machine Learning (2022-2030) ($MN)
19 Global Neuromorphic Computing Market Outlook, By Neuromorphic Vision Systems (2022-2030) ($MN)
20 Global Neuromorphic Computing Market Outlook, By Brain-Computer Interfaces (BCIs) (2022-2030) ($MN)
21 Global Neuromorphic Computing Market Outlook, By Natural Language Processing (2022-2030) ($MN)
22 Global Neuromorphic Computing Market Outlook, By Sensory Processing (2022-2030) ($MN)
23 Global Neuromorphic Computing Market Outlook, By Other Applications (2022-2030) ($MN)
24 Global Neuromorphic Computing Market Outlook, By End User (2022-2030) ($MN)
25 Global Neuromorphic Computing Market Outlook, By Healthcare & Life Sciences (2022-2030) ($MN)
26 Global Neuromorphic Computing Market Outlook, By IT & Telecom (2022-2030) ($MN)
27 Global Neuromorphic Computing Market Outlook, By Automotive (2022-2030) ($MN)
28 Global Neuromorphic Computing Market Outlook, By Consumer Electronics (2022-2030) ($MN)
29 Global Neuromorphic Computing Market Outlook, By Defense & Aerospace (2022-2030) ($MN)
30 Global Neuromorphic Computing Market Outlook, By Industrial Automation (2022-2030) ($MN)
31 Global Neuromorphic Computing Market Outlook, By Other End Users (2022-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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