Global Neuromorphic Computing Market is valued at approximately USD 3496.5 Million in 2021 and is anticipated to grow with a healthy growth rate of more than 21.2% over the forecast period 2022-2029. The term "neuromorphic computing" describes computer frameworks structured after the nerve and brain systems of humans. Neuromorphic Computing enables the highly ranged and proficient functions of a human brain in a machine. Neuromorphic computers can be added to current computers that carry out deep learning for artificial intelligence. For its Operation, Neuromorphic Computing uses an Artificial neural network. ANN replicates the structure of the human brain and the Neurons in artificial neural networks are linked to one another in different layers, just similar to a real Brain. The rise in the demand for Artificial Intelligence and high performance ICs and increasing investments by key market players may lead to the expansion of the Neuromorphic Computing Market.
In December 2019, Sony Corporation bought Insightness Firm, a Zurich-based company with a neuromorphic vision sensor that enables motion detection in a matter of milliseconds. The company has formed a cooperation with Paris-based Prophesee to expand the neuromorphic image sensor industry. The increasing investment and development of such key market players is adding to the growth of the Neuromorphic computing market. In Addition, the overall amount of business investment in artificial intelligence (AI) worldwide in 2020 was close to 68 billion dollars, 42.2 billion of which came from private sources. High Investments in AI boosting market growth. In the upcoming industry trends, Artificial General Intelligence is highly demanded, AGI systems are designed to carry out any task that humans are capable of. Additionally, the neuromorphic technology ought to be applied for security. However, a lack of investment in research and development stifles market growth throughout the forecast period of 2022-2029.
The key regions considered for the Global Neuromorphic Computing Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is dominating the market with the highest revenue and the use of speech recognition technology powered by AI which is among the major trends in the area. As a result of the integration, its speech recognition algorithms could be improved to deliver superior voice quality. Asia Pacific seems to have the highest growth rate in the Neuromorphic Computing market. With the increasing investment in AI, Companies focusing on adopting new trends and developing technologies in the area.
Major market players included in this report are:
- Brain Corporation
- CEA-Leti
- General Vision, Inc.
- Hewlett-Packard Enterprise (HPE)
- HRL Laboratories, LLC
- International Business Machines Corporation
- Intel Corporation
- Knowm Inc.
- Numenta
- Qualcomm Technologies, Inc.
Recent Developments in the Market:
- In January 2021, IBM introduced a new AI processor that claims to operate and develop deep learning models more quickly than a general-purpose CPU.
- In October 2020, With Sandia National Laboratories, Intel signed a three-year partnership to investigate the potential of neuromorphic computing for scaled-up AI issues.
Global Neuromorphic Computing Market Report Scope:
- Historical Data 2019-2020-2021
- Base Year for Estimation 2021
- Forecast period 2022-2029
- Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
- Segments Covered Offering, Deployment, Application, Vertical, Region
- Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
- Customization Scope Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and Offering offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Offering:
By Application:
- Image Recognition
- Signal Recognition
- Data Mining
By Deployment:
By Vertical:
- Aerospace, Military & Defense
- Automotive
- Consumer Electronics
- Industrial
- Medical
- IT & Telecommunication
- Others
By Region:
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Spain
- Italy
- ROE
- Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
- RoAPAC
- Latin America
- Brazil
- Mexico
- Rest of the World
Table of Contents
Chapter 1. Executive Summary
- 1.1. Market Snapshot
- 1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Million)
- 1.2.1. Neuromorphic Computing Market, by Region, 2019-2029 (USD Million)
- 1.2.2. Neuromorphic Computing Market, by Offering, 2019-2029 (USD Million)
- 1.2.3. Neuromorphic Computing Market, by Deployment, 2019-2029 (USD Million)
- 1.2.4. Neuromorphic Computing Market, by Application, 2019-2029 (USD Million)
- 1.2.5. Neuromorphic Computing Market, by Vertical, 2019-2029 (USD Million)
- 1.3. Key Trends
- 1.4. Estimation Methodology
- 1.5. Research Assumption
Chapter 2. Global Neuromorphic Computing Market Definition and Scope
- 2.1. Objective of the Study
- 2.2. Market Definition & Scope
- 2.2.1. Scope of the Study
- 2.2.2. Industry Evolution
- 2.3. Years Considered for the Study
- 2.4. Currency Conversion Rates
Chapter 3. Global Neuromorphic Computing Market Dynamics
- 3.1. Neuromorphic Computing Market Impact Analysis (2019-2029)
- 3.1.1. Market Drivers
- 3.1.1.1. Increasing demand for AI
- 3.1.1.2. Increasing investment by leading Companies
- 3.1.2. Market Challenges
- 3.1.2.1. Lack of investment in research and development
- 3.1.3. Market Opportunities
- 3.1.3.1. Making Of Artificial General Intelligence
- 3.1.3.2. Adoption of Neuromorphic Computing for security purposes.
Chapter 4. Global Neuromorphic Computing Market Industry Analysis
- 4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.2. Futuristic Approach to Porter's 5 Force Model (2019-2029)
- 4.3. PEST Analysis
- 4.3.1. Political
- 4.3.2. Economical
- 4.3.3. Social
- 4.3.4. Technological
- 4.4. Investment Adoption Model
- 4.5. Analyst Recommendation & Conclusion
- 4.6. Top investment opportunity
- 4.7. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
- 5.1. Assessment of the overall impact of COVID-19 on the industry
- 5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Neuromorphic Computing Market, by Offering
- 6.1. Market Snapshot
- 6.2. Global Neuromorphic Computing Market by Offering, Performance - Potential Analysis
- 6.3. Global Neuromorphic Computing Market Estimates & Forecasts by Offering 2019-2029 (USD Million)
- 6.4. Neuromorphic Computing Market, Sub Segment Analysis
- 6.4.1. Hardware
- 6.4.2. Software
Chapter 7. Global Neuromorphic Computing Market, by Deployment
- 7.1. Market Snapshot
- 7.2. Global Neuromorphic Computing Market by Deployment, Performance - Potential Analysis
- 7.3. Global Neuromorphic Computing Market Estimates & Forecasts by Deployment 2019-2029 (USD Million)
- 7.4. Neuromorphic Computing Market, Sub Segment Analysis
Chapter 8. Global Neuromorphic Computing Market, by Application
- 8.1. Market Snapshot
- 8.2. Global Neuromorphic Computing Market by Application, Performance - Potential Analysis
- 8.3. Global Neuromorphic Computing Market Estimates & Forecasts by Application 2019-2029 (USD Million)
- 8.4. Neuromorphic Computing Market, Sub Segment Analysis
- 8.4.1. Image Recognition
- 8.4.2. Signal Recognition
- 8.4.3. Data Mining
Chapter 9. Global Neuromorphic Computing Market, by Vertical
- 9.1. Market Snapshot
- 9.2. Global Neuromorphic Computing Market by Vertical, Performance - Potential Analysis
- 9.3. Global Neuromorphic Computing Market Estimates & Forecasts by Vertical 2019-2029 (USD Million)
- 9.4. Neuromorphic Computing Market, Sub Segment Analysis
- 9.4.1. Aerospace, Military & Defense
- 9.4.2. Automotive
- 9.4.3. Consumer Electronics
- 9.4.4. Industrial, Medical
- 9.4.5. IT & Telecommunication
- 9.4.6. Others
Chapter 10. Global Neuromorphic Computing Market, Regional Analysis
- 10.1. Neuromorphic Computing Market, Regional Market Snapshot
- 10.2. North America Neuromorphic Computing Market
- 10.2.1. U.S. Neuromorphic Computing Market
- 10.2.1.1. Offering breakdown estimates & forecasts, 2019-2029
- 10.2.1.2. Deployment breakdown estimates & forecasts, 2019-2029
- 10.2.1.3. Application breakdown estimates & forecasts, 2019-2029
- 10.2.1.4. Vertical breakdown estimates & forecasts, 2019-2029
- 10.2.2. Canada Neuromorphic Computing Market
- 10.3. Europe Neuromorphic Computing Market Snapshot
- 10.3.1. U.K. Neuromorphic Computing Market
- 10.3.2. Germany Neuromorphic Computing Market
- 10.3.3. France Neuromorphic Computing Market
- 10.3.4. Spain Neuromorphic Computing Market
- 10.3.5. Italy Neuromorphic Computing Market
- 10.3.6. Rest of Europe Neuromorphic Computing Market
- 10.4. Asia-Pacific Neuromorphic Computing Market Snapshot
- 10.4.1. China Neuromorphic Computing Market
- 10.4.2. India Neuromorphic Computing Market
- 10.4.3. Japan Neuromorphic Computing Market
- 10.4.4. Australia Neuromorphic Computing Market
- 10.4.5. South Korea Neuromorphic Computing Market
- 10.4.6. Rest of Asia Pacific Neuromorphic Computing Market
- 10.5. Latin America Neuromorphic Computing Market Snapshot
- 10.5.1. Brazil Neuromorphic Computing Market
- 10.5.2. Mexico Neuromorphic Computing Market
- 10.6. Rest of The World Neuromorphic Computing Market
Chapter 11. Competitive Intelligence
- 11.1. Top Market Strategies
- 11.2. Company Profiles
- 11.2.1. Brain Corporation
- 11.2.1.1. Key Information
- 11.2.1.2. Overview
- 11.2.1.3. Financial (Subject to Data Availability)
- 11.2.1.4. Product Summary
- 11.2.1.5. Recent Developments
- 11.2.2. CEA-Leti
- 11.2.3. General Vision, Inc.
- 11.2.4. Hewlett-Packard Enterprise (HPE)
- 11.2.5. HRL Laboratories, LLC
- 11.2.6. International Business Machines Corporation
- 11.2.7. Intel Corporation
- 11.2.8. Knowm Inc.
- 11.2.9. Numenta
- 11.2.10. Qualcomm Technologies, Inc
Chapter 12. Research Process
- 12.1. Research Process
- 12.1.1. Data Mining
- 12.1.2. Analysis
- 12.1.3. Market Estimation
- 12.1.4. Validation
- 12.1.5. Publishing
- 12.2. Research Attributes
- 12.3. Research Assumption