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The global neuromorphic computing market is expected to grow in the forecast period of 2023-2028 at a CAGR of 20% to reach nearly USD 8.02 billion by 2026.
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The increasing demand for autonomous systems, which are capable of making a suitable decision, is aiding the neuromorphic computing industry. Neuromorphic computing systems need lower power consumption while supporting dynamic learning of complex and unstructured data. Moreover, neuromorphic computing is used to analyse the data produced from climate models, predict maintenance needs for accelerator magnets, and recognising features in large-scale cosmology data. The rising demand for artificial intelligence in nonlinear control and robotics, language processing, image processing, and computer vision, among others, is also contributing to the market growth for neuromorphic computing.
The increasing demand for data and data analytics, miniaturisation of sensors, and cost-effectiveness are further accelerating the market growth. Moreover, neuromorphic computing is increasingly used in the military to collect and process large-sized data efficiently. It is further applicable for the development of cognitive communication system and image processing of unmanned vehicles. Regionally, North America holds the major share of the market for neuromorphic computing owing to the dominant presence of the leading companies and the various initiatives undertaken by them to promote its use in large-scale applications like data centres and server, among others. The Asia Pacific region is expected to witness robust growth due to the rising automated services and increasing technological advancements in countries such as South Korea and Japan, consequently contributing to the overall growth of the market.
Neuromorphic computing, variously known as neuromorphic engineering, is the use of very large scale integration systems containing electronic analogue circuits to model the neuro-biological architects present in the human nervous system. It applies the functionality of a brain to generic cognitive computing and has various advantages, such as energy efficiency and high execution speed.
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The major components of neuromorphic computing are:
The market can be broadly categorised on the basis of its applications into:
Based on the end use, the market is divided into:
The EMR report looks into the regional markets of neuromorphic computing like North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
Various technological advancements such as edge computing and the Internet of things (IoT) are increasingly used in several industries and businesses. With the increasing digitisation, technologies such as drones, smart healthcare, smart cities, and autonomous cars are becoming more prevalent and hence are increasing the demand for neuromorphic computing chips, which can combat the challenge of increasing data and processing. Moreover, increasing research and development (R&D) in the field of both neurology and computing are expected to aid the market growth. The development of neuromorphic chips which functions like a human brain by using artificial neurons is further propelling the market growth. Additionally, neuromorphic computing can create cognitive computing and systems which can reason or learn like a human.
Neuromorphic computing can further improve therapeutic procedures, develop more precise medical imaging, enhance surveillance, improve data mining and pattern recognition systems, and assist in military and security issue which is expected to augment the industry growth in the forecast period. The use of neuromorphic computing in automated vehicles can reduce latency, increase energy costs, and increase the autonomy of the vehicle while improving cybersecurity, consequently lubricating the market growth. The increasing research for neuromorphic computing to improve machine learning, remote sensing, and intelligence analysis is further driving the market. In addition, favourable government schemes and investments are also fuelling the market growth. For example, the U.S. Department of Energy (DOE) announced $2million in funding for five projects in basic research to advance neuromorphic computing in September 2020.
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The report presents a detailed analysis of the following key players in the global neuromorphic computing market, looking into their capacity, market shares, and latest developments like capacity expansions, plant turnarounds, and mergers and acquisitions:
The comprehensive report looks into the macro and micro aspects of the industry. The EMR report gives an in-depth insight into the market by providing a SWOT analysis as well as an analysis of Porter’s Five Forces model.
REPORT FEATURES | DETAILS |
---|---|
Base Year | 2022 |
Historical Period | 2018-2022 |
Forecast Period | 2023-2028 |
Scope of the Report | Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment- Component, Application, End Use, Region |
Breakup by Component | Hardware, Software |
Breakup by Application | Signal Processing, Image Processing, Data Processing, Object Detection, Others |
Breakup by End Use | Consumer Electronics, Automotive, Healthcare, Military and Defence, Others |
Breakup by Region | North America, Latin America, Europe, Middle East and Africa, Asia Pacific |
Market Dynamics | SWOT, Porter's Five Forces, Key Indicators for Price and Demand |
Competitive Landscape | Market Structure, Company Profiles- Company Overview, Product Portfolio, Demographic Reach and Achievements, Certifications |
Companies Covered | Intel Corporation, BrainChip Holdings Ltd, General Vision Inc., IBM Corporation, Others |
Report Price and Purchase Option | Explore our purchase options that are best suited to your resources and industry needs. |
Delivery Format | Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option. |
*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.
1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Snapshot
6.1 Global
6.2 Regional
7 Opportunities and Challenges in the Market
8 Global Neuromorphic Computing Market Analysis
8.1 Key Industry Highlights
8.2 Global Neuromorphic Computing Historical Market (2018-2022)
8.3 Global Neuromorphic Computing Market Forecast (2023-2028)
8.4 Global Neuromorphic Computing Market by Component
8.4.1 Hardware
8.4.1.1 Market Share
8.4.1.2 Historical Trend (2018-2022)
8.4.1.3 Forecast Trend (2023-2028)
8.4.2 Software
8.4.2.1 Market Share
8.4.2.2 Historical Trend (2018-2022)
8.4.2.3 Forecast Trend (2023-2028)
8.5 Global Neuromorphic Computing Market by Application
8.5.1 Signal Processing
8.5.1.1 Market Share
8.5.1.2 Historical Trend (2018-2022)
8.5.1.3 Forecast Trend (2023-2028)
8.5.2 Image Processing
8.5.2.1 Market Share
8.5.2.2 Historical Trend (2018-2022)
8.5.2.3 Forecast Trend (2023-2028)
8.5.3 Data Processing
8.5.3.1 Market Share
8.5.3.2 Historical Trend (2018-2022)
8.5.3.3 Forecast Trend (2023-2028)
8.5.4 Object Detection
8.5.4.1 Market Share
8.5.4.2 Historical Trend (2018-2022)
8.5.4.3 Forecast Trend (2023-2028)
8.5.5 Others
8.6 Global Neuromorphic Computing Market by End Use
8.6.1 Consumer Electronics
8.6.1.1 Market Share
8.6.1.2 Historical Trend (2018-2022)
8.6.1.3 Forecast Trend (2023-2028)
8.6.2 Automotive
8.6.2.1 Market Share
8.6.2.2 Historical Trend (2018-2022)
8.6.2.3 Forecast Trend (2023-2028)
8.6.3 Healthcare
8.6.3.1 Market Share
8.6.3.2 Historical Trend (2018-2022)
8.6.3.3 Forecast Trend (2023-2028)
8.6.4 Military and Defence
8.6.4.1 Market Share
8.6.4.2 Historical Trend (2018-2022)
8.6.4.3 Forecast Trend (2023-2028)
8.6.5 Others
8.7 Global Neuromorphic Computing Market by Region
8.7.1 North America
8.7.1.1 Market Share
8.7.1.2 Historical Trend (2018-2022)
8.7.1.3 Forecast Trend (2023-2028)
8.7.2 Europe
8.7.2.1 Market Share
8.7.2.2 Historical Trend (2018-2022)
8.7.2.3 Forecast Trend (2023-2028)
8.7.3 Asia Pacific
8.7.3.1 Market Share
8.7.3.2 Historical Trend (2018-2022)
8.7.3.3 Forecast Trend (2023-2028)
8.7.4 Latin America
8.7.4.1 Market Share
8.7.4.2 Historical Trend (2018-2022)
8.7.4.3 Forecast Trend (2023-2028)
8.7.5 Middle East and Africa
8.7.5.1 Market Share
8.7.5.2 Historical Trend (2018-2022)
8.7.5.3 Forecast Trend (2023-2028)
9 North America Neuromorphic Computing Market Analysis
9.1 United States of America
9.1.1 Market Share
9.1.2 Historical Trend (2018-2022)
9.1.3 Forecast Trend (2023-2028)
9.2 Canada
9.2.1 Market Share
9.2.2 Historical Trend (2018-2022)
9.2.3 Forecast Trend (2023-2028)
10 Europe Neuromorphic Computing Market Analysis
10.1 United Kingdom
10.1.1 Market Share
10.1.2 Historical Trend (2018-2022)
10.1.3 Forecast Trend (2023-2028)
10.2 Germany
10.2.1 Market Share
10.2.2 Historical Trend (2018-2022)
10.2.3 Forecast Trend (2023-2028)
10.3 France
10.3.1 Market Share
10.3.2 Historical Trend (2018-2022)
10.3.3 Forecast Trend (2023-2028)
10.4 Italy
10.4.1 Market Share
10.4.2 Historical Trend (2018-2022)
10.4.3 Forecast Trend (2023-2028)
10.5 Others
11 Asia Pacific Neuromorphic Computing Market Analysis
11.1 China
11.1.1 Market Share
11.1.2 Historical Trend (2018-2022)
11.1.3 Forecast Trend (2023-2028)
11.2 Japan
11.2.1 Market Share
11.2.2 Historical Trend (2018-2022)
11.2.3 Forecast Trend (2023-2028)
11.3 India
11.3.1 Market Share
11.3.2 Historical Trend (2018-2022)
11.3.3 Forecast Trend (2023-2028)
11.4 ASEAN
11.4.1 Market Share
11.4.2 Historical Trend (2018-2022)
11.4.3 Forecast Trend (2023-2028)
11.5 Australia
11.5.1 Market Share
11.5.2 Historical Trend (2018-2022)
11.5.3 Forecast Trend (2023-2028)
11.6 Others
12 Latin America Neuromorphic Computing Market Analysis
12.1 Brazil
12.1.1 Market Share
12.1.2 Historical Trend (2018-2022)
12.1.3 Forecast Trend (2023-2028)
12.2 Argentina
12.2.1 Market Share
12.2.2 Historical Trend (2018-2022)
12.2.3 Forecast Trend (2023-2028)
12.3 Mexico
12.3.1 Market Share
12.3.2 Historical Trend (2018-2022)
12.3.3 Forecast Trend (2023-2028)
12.4 Others
13 Middle East and Africa Neuromorphic Computing Market Analysis
13.1 Saudi Arabia
13.1.1 Market Share
13.1.2 Historical Trend (2018-2022)
13.1.3 Forecast Trend (2023-2028)
13.2 United Arab Emirates
13.2.1 Market Share
13.2.2 Historical Trend (2018-2022)
13.2.3 Forecast Trend (2023-2028)
13.3 Nigeria
13.3.1 Market Share
13.3.2 Historical Trend (2018-2022)
13.3.3 Forecast Trend (2023-2028)
13.4 South Africa
13.4.1 Market Share
13.4.2 Historical Trend (2018-2022)
13.4.3 Forecast Trend (2023-2028)
13.5 Others
14 Market Dynamics
14.1 SWOT Analysis
14.1.1 Strengths
14.1.2 Weaknesses
14.1.3 Opportunities
14.1.4 Threats
14.2 Porter’s Five Forces Analysis
14.2.1 Supplier’s Power
14.2.2 Buyer’s Power
14.2.3 Threat of New Entrants
14.2.4 Degree of Rivalry
14.2.5 Threat of Substitutes
14.3 Key Indicators for Demand
14.4 Key Indicators for Price
15 Value Chain Analysis
16 Competitive Landscape
16.1 Market Structure
16.2 Company Profiles
16.2.1 Intel Corporation
16.2.1.1 Company Overview
16.2.1.2 Product Portfolio
16.2.1.3 Demographic Reach and Achievements
16.2.1.4 Certifications
16.2.2 BrainChip Holdings Ltd.
16.2.2.1 Company Overview
16.2.2.2 Product Portfolio
16.2.2.3 Demographic Reach and Achievements
16.2.2.4 Certifications
16.2.3 General Vision Inc.
16.2.3.1 Company Overview
16.2.3.2 Product Portfolio
16.2.3.3 Demographic Reach and Achievements
16.2.3.4 Certifications
16.2.4 IBM Corporation
16.2.4.1 Company Overview
16.2.4.2 Product Portfolio
16.2.4.3 Demographic Reach and Achievements
16.2.4.4 Certifications
16.2.5 Others
17 Key Trends and Developments in the Market
List of Key Figures and Tables
1. Global Neuromorphic Computing Market: Key Industry Highlights, 2018 and 2028
2. Global Neuromorphic Computing Historical Market: Breakup by Component (USD Billion), 2018-2022
3. Global Neuromorphic Computing Market Forecast: Breakup by Component (USD Billion), 2023-2028
4. Global Neuromorphic Computing Historical Market: Breakup by Application (USD Billion), 2018-2022
5. Global Neuromorphic Computing Market Forecast: Breakup by Application (USD Billion), 2023-2028
6. Global Neuromorphic Computing Historical Market: Breakup by End Use (USD Billion), 2018-2022
7. Global Neuromorphic Computing Market Forecast: Breakup by End Use (USD Billion), 2023-2028
8. Global Neuromorphic Computing Historical Market: Breakup by Region (USD Billion), 2018-2022
9. Global Neuromorphic Computing Market Forecast: Breakup by Region (USD Billion), 2023-2028
10. North America Neuromorphic Computing Historical Market: Breakup by Country (USD Billion), 2018-2022
11. North America Neuromorphic Computing Market Forecast: Breakup by Country (USD Billion), 2023-2028
12. Europe Neuromorphic Computing Historical Market: Breakup by Country (USD Billion), 2018-2022
13. Europe Neuromorphic Computing Market Forecast: Breakup by Country (USD Billion), 2023-2028
14. Asia Pacific Neuromorphic Computing Historical Market: Breakup by Country (USD Billion), 2018-2022
15. Asia Pacific Neuromorphic Computing Market Forecast: Breakup by Country (USD Billion), 2023-2028
16. Latin America Neuromorphic Computing Historical Market: Breakup by Country (USD Billion), 2018-2022
17. Latin America Neuromorphic Computing Market Forecast: Breakup by Country (USD Billion), 2023-2028
18. Middle East and Africa Neuromorphic Computing Historical Market: Breakup by Country (USD Billion), 2018-2022
19. Middle East and Africa Neuromorphic Computing Market Forecast: Breakup by Country (USD Billion), 2023-2028
20. Global Neuromorphic Computing Market Structure
The global neuromorphic computing market is projected to grow at a CAGR of 20% between 2021 and 2026.
The market is estimated to witness a healthy growth in the forecast period of 2023-2028 to reach nearly USD 8.02 billion by 2026.
The market is being aided by the rapid urbanisation, increasing demand for automated system in industries, and the use of neuromorphic computing in military services.
The market is driven by the growing technological advancements and the increasing demand for efficient data storing and processing.
The major regions in the industry are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific, with North America accounting for the largest share in the market.
The major components of neuromorphic computing in the industry are hardware and software.
The significant applications of neuromorphic computing in the market are signal processing, image processing, data processing, and object detection, among others.
The major end uses of neuromorphic computing in the industry are consumer electronics, automotive, healthcare, and military and defence, among others.
The major players in the industry are Intel Corporation, BrainChip Holdings Ltd, General Vision Inc., and IBM Corporation, among others.
The global neuromorphic computing market is driven by the rising demand for automated systems in industries. Aided by the growing technological advancements, the market is expected to witness a further growth in the forecast period of 2023-2028, growing at a CAGR of 20%. The market is projected to reach nearly USD 8.02 billion by 2026.
EMR’s meticulous research methodology delves deep into the market, covering the macro and micro aspects of the industry. Based on its components, the neuromorphic computing industry can be segmented into software and hardware. On the basis of applications, the industry is divided into signal processing, image processing, data processing, and object detection, among others. Based on the end use, the market is segmented into consumer electronics, automotive, healthcare, and military and defence, among others. The major regional markets for neuromorphic computing are North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa, with North America accounting for the largest share of the market. The key players in the above market include Intel Corporation, BrainChip Holdings Ltd, General Vision Inc., and IBM Corporation, among others.
EMR’s research methodology uses a combination of cutting-edge analytical tools and the expertise of their highly accomplished team, thus, providing their customers with market insights that are accurate, actionable, and help them remain ahead of their competition.
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