Report Description

Neuromorphic chips are electronic chips, a combination of digital and analog Very LargeScale Integration (VLSI) system and software. It can execute neural system models. Neuromorphic chips are inspired from the human brain. Neuromorphic chips works with the help of millions of signals sent and received through a network. The global neuromorphic chips market is expected to grow with a CAGR of about 25% during the forecast period 2016-2023. Neuromorphic chips are much faster than the current computer systems at processing sensory data and are expected to replace the CPUs in the future. Increasing demand for artificial intelligence and machine learning are responsible for the growth of the global neuromorphic chip market during the forecast period. Neuromorphic chips uses artificial intelligence and machine learning it can perform intelligent tasks with computer systems. Also, increasing usage of internet of things and data analytics are fueling growth in the market of neuromorphic chips. Due to fast operations, small size and high efficiency, neuromorphic chips have numerous advantages that fuel the growth of the market. Neuromorphic chips can process multiple things at the same time. This allows it to process sensory information very efficiently thus, contributing to the growth of global neuromorphic chip market.

The increasing applications of internet of things and artificial intelligence are the factors responsible for the growth of the global neuromorphic chip market during the forecast period. Artificial intelligence is used to perform various tasks such as medical diagnosis, robot control, electronic sensing etc. Also, other applications of artificial intelligence include speech recognition, image processing etc. The advantage of artificial intelligence is development of intelligent devices which acts as a major driving factor for the growth of the global neuromorphic chip market.

Source: OBRC Analysis.

The report on global neuromorphic chip market is segmented on the basis of component, applications and end users.

The components of global neuromorphic chip market include:

Hardware
Software

Applications of global neuromorphic chip market are:

Image Recognition
Signal Recognition
Data Processing

End user segment of global neuromorphic chip market is divided as:

Medical industry
Military and Defense
Industrial
Aerospace
Automotive industry
Consumer sector
IT and Telecom

The report scope is widely categorized on the basis of its segments such as component, application and end users. Moreover, the market revenue estimates and forecast includesneuromorphic chips. However, report scope excludes microcontroller integrated circuits.

Geographically, global neuromorphic chip market report has been segmented in:

North America (U.S. & Canada)
Asia Pacific (China, India, Japan, RoAPAC)
Europe (UK, France, Germany, RoE)
Rest of World

North America held the largest revenue share of the neuromorphic chip market in 2016. Moreover, the region is expected to hold the largest market revenue during the forecast period. The rising applications of neuromorphic chips in various sectors such as image and signal recognition are the key driving factors for the growth of neuromorphic chip market in the region. Also, increasing applications of Internet of Things in North America is fueling growth in the neuromorphic chip market. The U.S. government and key market players invests heavily on the internet of things in North America therefore, growing neuromorphic chip market in the region. In 2016, Samsung invested $1.2 billion for internet of things devices in the United States. The growth in neuromorphic chip market in North America is due to presence of key market players in the region such as Qualcomm, IBM etc.

Global neuromorphic chip market report covers segmentation analysis of components, applications and end users. Report further covers segments of component which include hardware and software. Software segment is expected to hold the largest market share during the forecast period. The factor driving the growth of software market is increasing adoption of software in industries such as aerospace, defense, medical, IT and telecom. The applications of the global neuromorphic chip marketinclude image recognition, signal recognition and data processing. Signal recognition application is expected to hold the largest market share during the forecast period. The factor responsible to drive the growth of signal recognition is adoption of speech recognition in various sectors such as medical and automotive industries. Also, speech recognition is used in the field of healthcare for radiologist scanning for many X-rays, CT scans and ultra-sonograms. Also, the end user segment of global neuromorphic chip market is divided as medical industry, military and defense, industrial, aerospace, automotive industry, consumer sector and IT and telecom. Consumer electronics sector is expected to hold the largest share during the forecast period owing to increasing demand of electronic devices such as smart phones, laptops and tablets.

The major market players of the global neuromorphic chip market are:

IBM
QUALCOMM INC.
HEWLETT PACKARD CO.
INTERNATIONAL BUSINESS MACHINE CORPORATION
SAMSUNG ELECTRONICS
OTHERS

These companies are using various strategies such as merger & acquisition, collaboration, partnership and product launch whereas, product launch is the key strategy adopted by the companies in the global neuromorphic chip market.

For example: In 2017, IMEC developed and launched a neuromorphic chip. The chip uses brain inspired circuits to compose melodies. This chip has an application in personal electronics and neural networks.

The report covers detailed analysis of companies which comprises overview, SCOT analysis, product portfolio, strategic initiative, strategic analysis, competitive landscape and market share analysis in the global neuromorphic chip market.

Key reason to buy the report:

The report includes market estimation, forecast and analysis for the year 2016-2023 of the global neuromorphic chip market.
Report includes detailed analysis of different segments such as components, applications and end users of the global neuromorphic chip market.
Identify and understand the strength, opportunities, challenges and threat of the global neuromorphic chip market.
Covers details analysis of Porters 5 force model and other strategic models.Also covers revenues, market share analysis, competitive landscape analysis of major players of the global neuromorphic chip market.
Detailed analysis of various the regulatory policies which are affecting the global neuromorphic chip market.

How we are different from others:

At Occams we provide an extensive portfolio which is comprehensive market analysis along with the market size, market share, and market segmentations. Our report on global neuromorphic chip market offers detailed analysis of strategic models such as investment vs. adoption model, see saw analysis and others strategic models. Also, the report contains the detailed analysis of application, adoption scenario and decision support for each segment. The report discusses competitive landscape of the global neuromorphic chip market, with giving extensive SCOT analysisof key companies.

Key findings of the global neuromorphic chip market.

Increasing demand for artificial intelligence and machine learning is adding growth in global neuromorphic chip market.
North America held highest revenue share in 2016 for neuromorphic chip market and is expected to dominate during the forecast period.
Signal recognition application is expected to hold the largest market share during the forecast period because of adoption of speech recognition in various sectors such as medical and automotive industries.
Product launch is the key strategy adopted by players of global neuromorphic chip market.

Table of Content

1. INTRODUCTION

1.1. EXECUTIVE SUMMARY

1.2. ESTIMATION METHODOLOGY

2. MARKET OVERVIEW

2.1. NEUROMORPHIC CHIP MARKET: EVOLUTION & TRANSITION

2.2. MARKET DEFINITION & SCOPE

2.3. INDUSTRY STRUCTURE

2.4. REGULATORY FRAMEWORK

2.5. TOTAL MARKET ANALYSIS

2.5.1. TOP 5 FINDINGS

2.5.2. TOP 5 OPPORTUNITY MARKETS

2.5.3. TOP 5 COMPANIES

2.5.4. TOP 3 COMPETITIVE STRATEGIES

2.6. ESTIMATION ANALYSIS

2.7. STRATEGIC ANALYSIS

2.7.1. INVESTMENT VS. ADOPTION MODEL

2.7.2. 360-DEGREE INDUSTRY ANALYSIS

2.7.3. PORTERS 5 FORCE MODEL

2.7.4. SEE-SAW ANALYSIS

2.7.5. CONSUMER ANALYSIS AND KEY BUYING CRITERIA

2.8. COMPETITIVE ANALYSIS

2.8.1. KEY STRATEGIES & ANALYSIS

2.8.2. MARKET SHARE ANALYSIS AND TOP COMPANY ANALYSIS

2.9. STRATEGIC RECOMMENDATIONS & KEY CONCLUSIONS

2.9.1. INVESTMENT OPPORTUNITIES BY REGIONS

2.9.2. OPPORTUNITIES IN EMERGING APPLICATIONS

2.9.3. INVESTMENT OPPORTUNITY IN FASTEST GROWING SEGMENT

3. MARKET DETERMINANTS

3.1. MARKET DRIVERS

3.1.1. INCREASING DEMAND FOR ARTIFICIAL INTELLIGENCE

3.1.2. INCREASING ADOPTION OF MACHINE LEARNING

3.1.3. INCREASING NEED FOR BETTER PERFORMING IC

3.1.4. INCREASING ADOPTION OF INTERNET OF THINGS AND DATA ANALYTICS

3.1.5. INCREASING DEMAND FOE SMALL SIZE INTEGRATED CIRCUITS

3.2. MARKET RESTRAINTS

3.2.1. COMPLEXITY OF DESIGNING HARDWARE OF CHIPS DUE TO COMPLEX ALGORITHMS

3.2.2. LACK OF KNOWLEDGE ABOUT NEUROMORPHIC COMPUTING

3.3. MARKET OPPORTUNITIES

3.3.1. ADOPTION OF NEUROMORPHIC COMPUTING FOR SECURITY PURPOSES

3.3.2. INCREASING APPLICATIONS IN AUTOMATION SECTOR

3.4. MARKET CHALLENGES

3.4.1. APPLICATIONS DEPENDENT ON SOFTWARE COMPATIBILITY OF NEURAL HARDWARE

4. MARKET SEGMENTATION

4.1. NEUROMORPHIC CHIP MARKET BY COMPONENT

4.1.1. MARKET DEFINITION AND SCOPE

4.1.2. DECISION SUPPORT DATABASE & ESTIMATION METHODOLOGY

4.1.3. COMPARATIVE ANALYSIS ACROSS MARKET SEGMENTS

4.1.4. OPPORTUNITY MATRIX

4.1.5. MARKET SEGMENTATION

4.1.5.1. GLOBAL HARDWARE MARKET

4.1.5.1.1. ADOPTION SCENARIO & MARKET DETERMINANTS

4.1.5.1.2. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

4.1.5.1.3. TOP PLAYERS & KEY PRODUCTS

4.1.5.1.4. KEY CONCLUSIONS

4.1.5.2. GLOBAL SOFTWARE MARKET

4.1.5.2.1. ADOPTION SCENARIO & MARKET DETERMINANTS

4.1.5.2.2. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

4.1.5.2.3. TOP PLAYERS & KEY PRODUCTS

4.1.5.2.4. KEY CONCLUSIONS

4.2. NEUROMORPHIC CHIP MARKET BY APPLICATION

4.2.1. MARKET DEFINITION AND SCOPE

4.2.2. DECISION SUPPORT DATABASE & ESTIMATION METHODOLOGY

4.2.3. COMPARATIVE ANALYSIS ACROSS MARKET SEGMENTS

4.2.4. OPPORTUNITY MATRIX

4.2.5. MARKET SEGMENTATION

4.2.5.1. GLOBAL IMAGE RECOGNITION MARKET

4.2.5.1.1. APPLICATION

4.2.5.1.2. ADOPTION SCENARIO & MARKET DETERMINANTS

4.2.5.1.3. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

4.2.5.1.4. TOP PLAYERS & KEY PRODUCTS

4.2.5.1.5. KEY CONCLUSIONS

4.2.5.2. GLOBAL SIGNAL RECOGNITION MARKET

4.2.5.2.1. APPLICATION

4.2.5.2.2. ADOPTION SCENARIO & MARKET DETERMINANTS

4.2.5.2.3. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

4.2.5.2.4. TOP PLAYERS & KEY PRODUCTS

4.2.5.2.5. KEY CONCLUSIONS

4.2.5.3. GLOBAL DATA PROCESSING MARKET

4.2.5.3.1. APPLICATION

4.2.5.3.2. ADOPTION SCENARIO & MARKET DETERMINANTS

4.2.5.3.3. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

4.2.5.3.4. TOP PLAYERS & KEY PRODUCTS

4.2.5.3.5. KEY CONCLUSIONS

4.3. NEUROMORPHIC CHIP MARKET BY END USER

4.3.1. MARKET DEFINITION AND SCOPE

4.3.2. DECISION SUPPORT DATABASE & ESTIMATION METHODOLOGY

4.3.3. COMPARATIVE ANALYSIS ACROSS MARKET SEGMENTS

4.3.4. OPPORTUNITY MATRIX

4.3.5. MARKET SEGMENTATION

4.3.5.1. GLOBAL MEDICAL INDUSTRY MARKET

4.3.5.1.1. APPLICATION

4.3.5.1.2. ADOPTION SCENARIO & MARKET DETERMINANTS

4.3.5.1.3. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

4.3.5.1.4. TOP PLAYERS & KEY PRODUCTS

4.3.5.1.5. KEY CONCLUSIONS

4.3.5.2. GLOBAL MILITARY AND DEFENSE MARKET

4.3.5.2.1. APPLICATION

4.3.5.2.2. ADOPTION SCENARIO & MARKET DETERMINANTS

4.3.5.2.3. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

4.3.5.2.4. TOP PLAYERS & KEY PRODUCTS

4.3.5.2.5. KEY CONCLUSIONS

4.3.5.3. GLOBAL INDUSTRIAL MARKET

4.3.5.3.1. APPLICATION

4.3.5.3.2. ADOPTION SCENARIO & MARKET DETERMINANTS

4.3.5.3.3. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

4.3.5.3.4. TOP PLAYERS & KEY PRODUCTS

4.3.5.3.5. KEY CONCLUSIONS

4.3.5.4. GLOBAL AEROSPACE MARKET

4.3.5.4.1. APPLICATION

4.3.5.4.2. ADOPTION SCENARIO & MARKET DETERMINANTS

4.3.5.4.3. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

4.3.5.4.4. TOP PLAYERS & KEY PRODUCTS

4.3.5.4.5. KEY CONCLUSIONS

4.3.5.5. GLOBAL AUTOMOTIVE INDUSTRY MARKET

4.3.5.5.1. APPLICATION

4.3.5.5.2. ADOPTION SCENARIO & MARKET DETERMINANTS

4.3.5.5.3. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

4.3.5.5.4. TOP PLAYERS & KEY PRODUCTS

4.3.5.5.5. KEY CONCLUSIONS

4.3.5.6. GLOBAL CONSUMER SECTOR MARKET

4.3.5.6.1. APPLICATION

4.3.5.6.2. ADOPTION SCENARIO & MARKET DETERMINANTS

4.3.5.6.3. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

4.3.5.6.4. TOP PLAYERS & KEY PRODUCTS

4.3.5.6.5. KEY CONCLUSIONS

4.3.5.7. GLOBAL IT AND TELECOM MARKET

4.3.5.7.1. APPLICATION

4.3.5.7.2. ADOPTION SCENARIO & MARKET DETERMINANTS

4.3.5.7.3. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

4.3.5.7.4. TOP PLAYERS & KEY PRODUCTS

4.3.5.7.5. KEY CONCLUSIONS

5. COMPETITIVE LANDSCAPE

5.1. KEY STRATEGIES

5.1.1. LIST OF MERGERS AND ACQUISITION

5.1.2. LIST OF JOINT VENTURES

5.1.3. LIST OF PRODUCT LAUNCHES

5.1.4. LIST OF PARTNERSHIPS

6. GEOGRAPHICAL ANALYSIS

6.1. DECISION SUPPORT DATABASE & ESTIMATION METHODOLOGY

6.2. COMPARATIVE ANALYSIS ACROSS MARKET SEGMENTS

6.3. OPPORTUNITY MATRIX

6.4. GLOBAL NEUROMORPHIC CHIP MARKET BY REGION 2014-2023 ($ MILLION)

6.4.1. NORTH AMERICA

6.4.1.1. INDUSTRY ANALYSIS 2014-2023 ($ MILLION)

6.4.1.2. TOP COUNTRY ANALYSIS

6.4.1.2.1. U.S.

6.4.1.2.1.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

6.4.1.2.1.2. TOP PLAYERS & KEY PRODUCTS

6.4.1.2.1.3. KEY CONCLUSIONS

6.4.1.2.2. CANADA

6.4.1.2.2.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

6.4.1.2.2.2. TOP PLAYERS & KEY PRODUCTS

6.4.1.2.2.3. KEY CONCLUSIONS

6.4.2. EUROPE

6.4.2.1. INDUSTRY ANALYSIS 2014-2023 ($ MILLION)

6.4.2.2. TOP COUNTRY ANALYSIS

6.4.2.2.1. UK

6.4.2.2.1.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

6.4.2.2.1.2. TOP PLAYERS & KEY PRODUCTS

6.4.2.2.1.3. KEY CONCLUSIONS

6.4.2.2.2. FRANCE

6.4.2.2.2.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

6.4.2.2.2.2. TOP PLAYERS & KEY PRODUCTS

6.4.2.2.2.3. KEY CONCLUSIONS

6.4.2.2.3. GERMANY

6.4.2.2.3.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

6.4.2.2.3.2. TOP PLAYERS & KEY PRODUCTS

6.4.2.2.3.3. KEY CONCLUSIONS

6.4.2.2.4. SPAIN

6.4.2.2.4.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

6.4.2.2.4.2. TOP PLAYERS & KEY PRODUCTS

6.4.2.2.4.3. KEY CONCLUSIONS

6.4.2.2.5. REST OF EUROPE

6.4.2.2.5.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

6.4.2.2.5.2. TOP PLAYERS & KEY PRODUCTS

6.4.2.2.5.3. KEY CONCLUSIONS

6.4.3. ASIA PACIFIC

6.4.3.1. INDUSTRY ANALYSIS 2014-2023 ($ MILLION)

6.4.3.2. TOP COUNTRY ANALYSIS

6.4.3.2.1. CHINA

6.4.3.2.1.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

6.4.3.2.1.2. TOP PLAYERS & KEY PRODUCTS

6.4.3.2.1.3. KEY CONCLUSIONS

6.4.3.2.2. INDIA

6.4.3.2.2.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

6.4.3.2.2.2. TOP PLAYERS & KEY PRODUCTS

6.4.3.2.2.3. KEY CONCLUSIONS

6.4.3.2.3. JAPAN

6.4.3.2.3.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

6.4.3.2.3.2. TOP PLAYERS & KEY PRODUCTS

6.4.3.2.3.3. KEY CONCLUSIONS

6.4.3.2.4. AUSTRALIA

6.4.3.2.4.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

6.4.3.2.4.2. TOP PLAYERS & KEY PRODUCTS

6.4.3.2.4.3. KEY CONCLUSIONS

6.4.3.2.5. REST OF ASIA PACIFIC

6.4.3.2.5.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

6.4.3.2.5.2. TOP PLAYERS & KEY PRODUCTS

6.4.3.2.5.3. KEY CONCLUSIONS

6.4.4. ROW

6.4.4.1. INDUSTRY ANALYSIS 2014-2023 ($ MILLION)

6.4.4.2. TOP COUNTRY ANALYSIS

6.4.4.2.1. LATIN AMERICA

6.4.4.2.1.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

6.4.4.2.1.2. TOP PLAYERS & KEY PRODUCTS

6.4.4.2.1.3. KEY CONCLUSIONS

6.4.4.2.2. MIDDLE EAST & AFRICA

6.4.4.2.2.1. MARKET ESTIMATIONS AND FORECASTS 2014-2023 ($ MILLION)

6.4.4.2.2.2. TOP PLAYERS & KEY PRODUCTS

6.4.4.2.2.3. KEY CONCLUSIONS

7. COMPANY PROFILES

7.1. IBM (U.S.)

7.1.1. OVERVIEW

7.1.2. PRODUCT PORTFOLIO

7.1.3. KEY INNOVATION SECTOR

7.1.4. STRATEGIC INITIATIVES

7.1.5. SCOT ANALYSIS

7.1.6. STRATEGIC ANALYSIS

7.2. QUALCOMM INC. (U.S.)

7.2.1. OVERVIEW

7.2.2. PRODUCT PORTFOLIO

7.2.3. KEY INNOVATION SECTOR

7.2.4. STRATEGIC INITIATIVES

7.2.5. SCOT ANALYSIS

7.2.6. STRATEGIC ANALYSIS

7.3. HEWLETT PACKARD CO. (U.S.)

7.3.1. OVERVIEW

7.3.2. PRODUCT PORTFOLIO

7.3.3. KEY INNOVATION SECTOR

7.3.4. STRATEGIC INITIATIVES

7.3.5. SCOT ANALYSIS

7.3.6. STRATEGIC ANALYSIS

7.4. INTERNATIONAL BUSINESS MACHINE CORPORATION (U.S.)

7.4.1. OVERVIEW

7.4.2. PRODUCT PORTFOLIO

7.4.3. KEY INNOVATION SECTOR

7.4.4. STRATEGIC INITIATIVES

7.4.5. SCOT ANALYSIS

7.4.6. STRATEGIC ANALYSIS

7.5. SAMSUNG ELECTRONICS (SOUTH KOREA)

7.5.1. OVERVIEW

7.5.2. PRODUCT PORTFOLIO

7.5.3. KEY INNOVATION SECTOR

7.5.4. STRATEGIC INITIATIVES

7.5.5. SCOT ANALYSIS

7.5.6. STRATEGIC ANALYSIS

7.6. BRAIN CORPORATION (U.S.)

7.6.1. OVERVIEW

7.6.2. PRODUCT PORTFOLIO

7.6.3. KEY INNOVATION SECTOR

7.6.4. STRATEGIC INITIATIVES

7.6.5. SCOT ANALYSIS

7.6.6. STRATEGIC ANALYSIS

7.7. LOCKHEED MARTIN CORPORATION (U.S.)

7.7.1. OVERVIEW

7.7.2. PRODUCT PORTFOLIO

7.7.3. KEY INNOVATION SECTOR

7.7.4. STRATEGIC INITIATIVES

7.7.5. SCOT ANALYSIS

7.7.6. STRATEGIC ANALYSIS

7.8. GENERAL VISION INC. (U.S.)

7.8.1. OVERVIEW

7.8.2. PRODUCT PORTFOLIO

7.8.3. KEY INNOVATION SECTOR

7.8.4. STRATEGIC INITIATIVES

7.8.5. SCOT ANALYSIS

7.8.6. STRATEGIC ANALYSIS

7.9. VICARIOUS FPC INC. (U.S.)

7.9.1. OVERVIEW

7.9.2. PRODUCT PORTFOLIO

7.9.3. KEY INNOVATION SECTOR

7.9.4. STRATEGIC INITIATIVES

7.9.5. SCOT ANALYSIS

7.9.6. STRATEGIC ANALYSIS

7.10. HRL LABORATORIES LLC (U.S.)

7.10.1. OVERVIEW

7.10.2. PRODUCT PORTFOLIO

7.10.3. KEY INNOVATION SECTOR

7.10.4. STRATEGIC INITIATIVES

7.10.5. SCOT ANALYSIS

7.10.6. STRATEGIC ANALYSIS

7.11. INTEL CORP. (U.S.)

7.11.1. OVERVIEW

7.11.2. PRODUCT PORTFOLIO

7.11.3. KEY INNOVATION SECTOR

7.11.4. STRATEGIC INITIATIVES

7.11.5. SCOT ANALYSIS

7.11.6. STRATEGIC ANALYSIS

7.12. MIT TECHNOLOGY (U.S.)

7.12.1. OVERVIEW

7.12.2. PRODUCT PORTFOLIO

7.12.3. KEY INNOVATION SECTOR

7.12.4. STRATEGIC INITIATIVES

7.12.5. SCOT ANALYSIS

7.12.6. STRATEGIC ANALYSIS

7.13. ADVNCED SEMICONDUCTOR ENGINEERING (TAIWAN)

7.13.1. OVERVIEW

7.13.2. PRODUCT PORTFOLIO

7.13.3. KEY INNOVATION SECTOR

7.13.4. STRATEGIC INITIATIVES

7.13.5. SCOT ANALYSIS

7.13.6. STRATEGIC ANALYSIS

7.14. APPLIED BRAIN RESEARCH (U.S.)

7.14.1. OVERVIEW

7.14.2. PRODUCT PORTFOLIO

7.14.3. KEY INNOVATION SECTOR

7.14.4. STRATEGIC INITIATIVES

7.14.5. SCOT ANALYSIS

7.14.6. STRATEGIC ANALYSIS

7.15. BRAINCHIP HOLDINGS (AUSTRALIA)

7.15.1. OVERVIEW

7.15.2. PRODUCT PORTFOLIO

7.15.3. KEY INNOVATION SECTOR

7.15.4. STRATEGIC INITIATIVES

7.15.5. SCOT ANALYSIS

7.15.6. STRATEGIC ANALYSIS

LIST OF TABLES

1. GLOBAL NEUROMORPHIC CHIP MARKET BY COMPONENT 2014-2023 ($ MILLION)

2. GLOBAL HARDWARE MARKET BY GEOGRAPHY 2014-2023 ($ MILLION)

3. GLOBAL SOFTWARE MARKET BY GEOGRAPHY 2014-2023 ($ MILLION)

4. GLOBAL NEUROMORPHIC CHIP MARKET BY APPLICATION 2014-2023 ($ MILLION)

5. GLOBAL IMAGE RECOGNITION BY GEOGRAPHY 2014-2023 ($ MILLION)

6. GLOBAL SIGNAL RECOGNITION BY GEOGRAPHY 2014-2023 ($ MILLION)

7. GLOBAL DATA PROCESSING BY GEOGRAPHY 2014-2023 ($ MILLION)

8. GLOBAL NEUROMORPHIC CHIP MARKET BY END USERS 2014-2023 ($ MILLION)

9. GLOBAL MEDICAL INDUSTRY BY GEOGRAPHY 2014-2023 ($ MILLION)

10. GLOBAL MILITARY AND DEFENSE BY GEOGRAPHY 2014-2023 ($ MILLION)

11. GLOBAL INDUSTRIAL MARKET BY GEOGRAPHY 2014-2023 ($ MILLION)

12. GLOBAL AEROSPACE BY GEOGRAPHY 2014-2023 ($ MILLION)

13. GLOBAL AUTOMOTIVE INDUSTRY BY GEOGRAPHY 2014-2023 ($ MILLION)

14. GLOBAL CONSUMER SECTOR BY GEOGRAPHY 2014-2023 ($ MILLION)

15. GLOBAL IT AND TELECOM BY GEOGRAPHY 2014-2023 ($ MILLION)

16. NORTH AMERICA NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

17. EUROPE NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

18. ASIA PACIFIC NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

19. REST OF THE WORLD NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

LIST OF FIGURES

1. GLOBAL NEUROMORPHIC CHIP MARKET BY COMPONENT 2014-2023 ($ MILLION)

2. GLOBAL HARDWARE MARKET 2014-2023 ($ MILLION)

3. GLOBAL SOFTWARE MARKET 2014-2023 ($ MILLION)

4. GLOBAL NEUROMORPHIC CHIP MARKET BY APPLICATION 2014-2023 ($ MILLION)

5. GLOBAL IMAGE RECOGNITION 2014-2023 ($ MILLION)

6. GLOBAL SIGNAL RECOGNITION 2014-2023 ($ MILLION)

7. GLOBAL DATA PROCESSING 2014-2023 ($ MILLION)

8. GLOBAL NEUROMORPHIC CHIP MARKET BY END USERS 2014-2023 ($ MILLION)

9. GLOBAL MEDICAL INDUSTRY 2014-2023 ($ MILLION)

10. GLOBAL MILITARY AND DEFENSE 2014-2023 ($ MILLION)

11. GLOBAL INDUSTRIAL MARKET 2014-2023 ($ MILLION)

12. GLOBAL AEROSPACE 2014-2023 ($ MILLION)

13. GLOBAL AUTOMOTIVE INDUSTRY 2014-2023 ($ MILLION)

14. GLOBAL CONSUMER SECTOR 2014-2023 ($ MILLION)

15. GLOBAL IT AND TELECOM 2014-2023 ($ MILLION)

16. UNITED STATES (U.S.) NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

17. CANADA NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

18. UNITED KINGDOM (UK) NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

19. FRANCE NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

20. GERMANY NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

21. SPAIN NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

22. ROE NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

23. INDIA NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

24. CHINA NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

25. JAPAN NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

26. AUSTRALIA NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

27. ROAPAC NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

28. LATIN AMERICA NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

29. MENA NEUROMORPHIC CHIP MARKET 2014-2023 ($ MILLION)

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Global Neuromorphic Chip Market Insights, Opportunity Analysis, Market Shares and Forecast, 2017 - 2023

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