Neuromorphic Computing Market Trends, Size, Growth, CAGR Status, Demand, Future Outlook
Neuromorphic Computing Market Growth, Size, Trends Analysis - By Application, By Deployment, By Component, By End User- Regional Outlook, Competitive Strategies and Segment Forecast to 2034
| Published: Jan-2025 | Report ID: IACT2505 | Pages: 1 - 246 | Formats*: |
| Category : Information & Communications Technology | |||
Neuromorphic Computing Market Introduction and Overview
According to SPER Market Research, the Global Neuromorphic Computing Market is estimated to reach USD 39.7 billion by 2034 with a CAGR of 20.13%.
The report includes an in-depth analysis of the Global Neuromorphic Computing Market, including market size and trends, product mix, Applications, and supplier analysis. The neuromorphic computing market is expected to expand rapidly, driven by rising demand for aluminium-based applications that mirror the brain's neuronal architecture. Emerging trends such as the move toward edge computing architectures, the increase in demand for brain-computer interfaces, and the combination of quantum computing and neuromorphic systems are influencing the industry. The growing expense of developing hardware for neuromorphic chips is one of the main factors limiting the market for neuromorphic computing.
By Application Insights: Based on Application the market is divided into five segments: Signal Processing, Image Processing, Data Processing, Object Detection and Others. In 2024, the Image Processing segment led the global market. This is because computer vision is increasingly being used in a variety of industries, such as media & entertainment, healthcare, and automobiles. One essential application of image processing is medical imaging, for example. Throughout the projected period, revenue growth in this category is anticipated to be driven by advancements in image sensors and other processing technologies. In order to handle complicated tasks like picture identification, the main goal of image processing is to obtain the least amount of visual information feasible. This can increase the efficiency of the entire process.
By Deployment Insights: Based on Deployment the market is divided into two segments: Edge and Cloud. In 2024, the category with the most revenue share of the global industry was Edge. This market is growing as a result of the growing use of edge computing in internal intelligence for helper robots, sensitive voice controls for cars, and body gesture recognition for touchless interfaces. The growth of this market is driven by interest in the quickly developing edge computing computer paradigm, which has been sparked by the spread of wireless networking. Additionally, neuromorphic computing facilitates on-device flexibility and low-power applications in the edge computing space, which is driving global market growth.
By Component Insights: Based on Component the market is divided into three segments: Hardware, Software and Services. In 2024, the Hardware segment led the global market based on component. The growing need for specialized neuromorphic processors and systems that can effectively handle intricate data patterns is the reason behind this. The adoption of neuromorphic computing in a variety of applications has been made possible by the development of specialized hardware, such as memristor-based devices and neuromorphic processors. Real-time processing and increased energy efficiency are made possible by these hardware elements, which are made to resemble the synaptic plasticity and adaptive learning properties of the human brain.
By End User Insights: Based on End User the market is divided into five segments: Consumer Electronics, Automotive, Healthcare, Military & Defense and Others. In 2024, the biggest revenue share was held by Consumer Electronics. The need for neuromorphic circuits from the consumer electronics sector is gradually rising as a result of rising sales of electronic devices, including as laptops, PCs, and tablets. Additionally, strategic alliances between software and hardware solution providers to create cutting-edge technologies support market expansion.
By Regional Insights: In 2024, the North American Neuromorphic Computing market led the global industry. Leading technology businesses, a strong technological infrastructure, and large investments in R&D efforts in this area are all responsible for this. This market has grown as a result of the region's robust startup ecosystem, government funding programs, and academic institutions. The need for neuromorphic computing in North America has also been boosted by the broad use of AI, machine learning, and Internet of Things (IoT) technologies in sectors including healthcare, banking, and the automobile industry.
Market Competitive Landscape:
Neuromorphic computing, which is inspired by the brain, is fast evolving as research laboratories and technology businesses create energy-efficient processors to advance AI. Competition is fierce in fields like autonomous systems, smart sensors, and robotics. Although there has been encouraging development, wider acceptance is still in its infancy as businesses look for real-world applications that go beyond conventional AI techniques. Some of the prominent players in Global Neuromorphic Computing Market are Brain Corporation, CEA-Leti, General Vision Inc, Hewlett Packard Enterprise Development LP, HRL Laboratories LLC, IBM, Intel Corporation, Qualcomm Technologies Inc, SAMSUNG, Vicarious.
Recent Developments:
- In April 2024, Intel introduced the largest neuromorphic system called Hala Point, made with Intel's Loihi 2 processor. It aims to advance research in brain-based AI and solve issues with current AI technologies. Hala Point improves significantly over the previous system, Pohoiki Springs, with over ten times more neuron capacity and about 12 times better performance, supporting up to 20 quadrillion operations per second.
- In October 2023, IBM announced that the results of its new chip architecture for neural inference, called NorthPole, were published in Science. IBM claims that NorthPole runs AI-based image recognition applications more efficiently and with lower latency than current chips, and is 4,000 times faster than the TrueNorth chip. Developed at IBM Research’s California lab, NorthPole is expected to change how advanced AI hardware systems can scale efficiently.
Scope of the Report:
| Report Metric | Details |
| Market size available for years | 2021-2034 |
| Base year considered | 2024 |
| Forecast period | 2025-2034 |
| Segments covered | By Application, By Deployment, By Component, By End Use. |
| Regions covered | North America, Latin America, Asia-Pacific, Europe, and Middle East & Africa. |
| Companies Covered | Brain Corporation, CEA-Leti, General Vision Inc, Hewlett Packard Enterprise Development LP, HRL Laboratories LLC, IBM, Intel Corporation, Qualcomm Technologies Inc, SAMSUNG, Vicarious. |
Key Topics Covered in the Report:
- Global Neuromorphic Computing Market Size (FY’2021-FY’2034)
- Overview of Global Neuromorphic Computing Market
- Segmentation of Global Neuromorphic Computing Market By Application (Signal Processing, Image Processing, Data Processing, Object Detection and Others)
- Segmentation of Global Neuromorphic Computing Market By Deployment (Edge and Cloud)
- Segmentation of Global Neuromorphic Computing Market By Component (Hardware, Software and Services)
- Segmentation of Global Neuromorphic Computing Market By End User (Consumer Electronics, Automotive, Healthcare, Military & Defense and Others)
- Statistical Snap of Global Neuromorphic Computing Market
- Expansion Analysis of Global Neuromorphic Computing Market
- Problems and Obstacles in Global Neuromorphic Computing Market
- Competitive Landscape in the Global Neuromorphic Computing Market
- Details on Current Investment in Global Neuromorphic Computing Market
- Competitive Analysis of Global Neuromorphic Computing Market
- Prominent Players in the Global Neuromorphic Computing Market
- SWOT Analysis of Global Neuromorphic Computing Market
- Global Neuromorphic Computing Market Future Outlook and Projections (FY’2025-FY’2034)
- Recommendations from Analyst
1. Introduction
1.1. Scope of the report1.2. Market segment analysis
2. Research Methodology
2.1. Research data source
2.1.1. Secondary Data2.1.2. Primary Data2.1.3. SPERs internal database2.1.4. Premium insight from KOLs
2.2. Market size estimation
2.2.1. Top-down and Bottom-up approach
2.3. Data triangulation
3. Executive Summary
4. Market Dynamics
4.1. Driver, Restraint, Opportunity and Challenges analysis
4.1.1. Drivers4.1.2. Restraints4.1.3. Opportunities4.1.4. Challenges
5. Market variable and outlook
5.1. SWOT Analysis
5.1.1. Strengths5.1.2. Weaknesses5.1.3. Opportunities5.1.4. Threats
5.2. PESTEL Analysis
5.2.1. Political Landscape5.2.2. Economic Landscape5.2.3. Social Landscape5.2.4. Technological Landscape5.2.5. Environmental Landscape5.2.6. Legal Landscape
5.3. PORTERs Five Forces
5.3.1. Bargaining power of suppliers5.3.2. Bargaining power of buyers5.3.3. Threat of Substitute5.3.4. Threat of new entrant5.3.5. Competitive rivalry
5.4. Heat Map Analysis
6. Competitive Landscape
6.1. Global Neuromorphic Computing Market Manufacturing Base Distribution, Sales Area, Product Type6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Global Neuromorphic Computing Market
7. Global Neuromorphic Computing Market, By Application (USD Million) 2021-2034
7.1. Signal Processing7.2. Image Processing7.3. Data Processing7.4. Object Detection7.5. Others
8. Global Neuromorphic Computing Market, By Deployment (USD Million) 2021-2034
8.1. Edge8.2. Cloud
9. Global Neuromorphic Computing Market, By Component (USD Million) 2021-2034
9.1. Hardware9.2. Software9.3. Services
10. Global Neuromorphic Computing Market, By End User (USD Million) 2021-2034
10.1. Consumer Electronics10.2. Automotive10.3. Healthcare10.4. Military & Defense10.5. Others
11. Global Neuromorphic Computing Market, (USD Million) 2021-2034
11.1. Global Neuromorphic Computing Market Size and Market Share
12. Global Neuromorphic Computing Market, By Region, (USD Million) 2021-2034
12.1. Asia-Pacific
12.1.1. Australia12.1.2. China12.1.3. India12.1.4. Japan12.1.5. South Korea12.1.6. Rest of Asia-Pacific
12.2. Europe
12.2.1. France12.2.2. Germany12.2.3. Italy12.2.4. Spain12.2.5. United Kingdom12.2.6. Rest of Europe
12.3. Middle East and Africa
12.3.1. Kingdom of Saudi Arabia12.3.2. United Arab Emirates12.3.3. Qatar12.3.4. South Africa12.3.5. Egypt12.3.6. Morocco12.3.7. Nigeria12.3.8. Rest of Middle-East and Africa
12.4. North America
12.4.1. Canada12.4.2. Mexico12.4.3. United States
12.5. Latin America
12.5.1. Argentina12.5.2. Brazil12.5.3. Rest of Latin America
13. Company Profile
13.1. Brain Corporation
13.1.1. Company details13.1.2. Financial outlook13.1.3. Product summary13.1.4. Recent developments
13.2. CEA-Leti
13.2.1. Company details13.2.2. Financial outlook13.2.3. Product summary13.2.4. Recent developments
13.3. General Vision Inc
13.3.1. Company details13.3.2. Financial outlook13.3.3. Product summary13.3.4. Recent developments
13.4. Hewlett Packard Enterprise Development LP
13.4.1. Company details13.4.2. Financial outlook13.4.3. Product summary13.4.4. Recent developments
13.5. HRL Laboratories LLC
13.5.1. Company details13.5.2. Financial outlook13.5.3. Product summary13.5.4. Recent developments
13.6. IBM
13.6.1. Company details13.6.2. Financial outlook13.6.3. Product summary13.6.4. Recent developments
13.7. Intel Corporation
13.7.1. Company details13.7.2. Financial outlook13.7.3. Product summary13.7.4. Recent developments
13.8. Qualcomm Technologies Inc
13.8.1. Company details13.8.2. Financial outlook13.8.3. Product summary13.8.4. Recent developments
13.9. SAMSUNG
13.9.1. Company details13.9.2. Financial outlook13.9.3. Product summary13.9.4. Recent developments
13.10. Vicarious
13.10.1. Company details13.10.2. Financial outlook13.10.3. Product summary13.10.4. Recent developments
13.11. Others
14. Conclusion
15. List of Abbreviations
16. Reference Links
SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.
The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.
Frequently Asked Questions About This Report
Neuromorphic Computing Market is projected to reach USD 39.7 billion by 2034, growing at a CAGR of 20.13% during the forecast period.
Neuromorphic Computing Market grew in Market size from 2025. The Market is expected to reach USD 39.7 billion by 2034, at a CAGR of 20.13% during the forecast period.
Neuromorphic Computing Market CAGR of 20.13% during the forecast period.
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Neuromorphic Computing Market size is USD 39.7 billion from 2025 to 2034.
Neuromorphic Computing Market is covered By Application, By Deployment, By Component, By End Use.
The North America is anticipated to have the highest Market share in the Neuromorphic Computing Market.
The key players in the Market include Companies Covered Brain Corporation, CEA-Leti, General Vision Inc, Hewlett Packard Enterprise Development LP, HRL Laboratories LLC, IBM, Intel Corporation, Qualcomm Technologies Inc, SAMSUNG, Vicarious. and other.
The neuromorphic computing market is expected to expand rapidly, driven by rising demand for aluminium-based applications that mirror the brain's neuronal architecture. Emerging trends such as the move toward edge computing architectures, the increase in demand for brain-computer interfaces, and the combination of quantum computing and neuromorphic systems are influencing the industry.
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