Neuromorphic Computing Market

Table of Content

SECTION I: REPORT OVERVIEW

1. PREFACE
1.1. Introduction
1.2. Market Share Insights
1.3. Key Market Insights
1.4. Report Coverage
1.5. Key Questions Answered
1.6. Chapter Outlines

2. RESEARCH METHODOLOGY
2.1. Chapter Overview
2.2. Research Assumptions

2.3. Database Building
2.3.1. Data Collection
2.3.2. Data Validation
2.3.3. Data Analysis

2.4. Project Methodology
2.4.1. Secondary Research
2.4.1.1. Annual Reports
2.4.1.2. Academic Research Papers
2.4.1.3. Company Websites
2.4.1.4. Investor Presentations
2.4.1.5. Regulatory Filings
2.4.1.6. White Papers
2.4.1.7. Industry Publications
2.4.1.8. Conferences and Seminars
2.4.1.9. Government Portals
2.4.1.10. Media and Press Releases
2.4.1.11. Newsletters
2.4.1.12. Industry Databases
2.4.1.13. Roots Proprietary Databases
2.4.1.14. Paid Databases and Sources
2.4.1.15. Social Media Portals
2.4.1.16. Other Secondary Sources

2.4.2. Primary Research
2.4.2.1. Introduction
2.4.2.2. Types
2.4.2.2.1. Qualitative
2.4.2.2.2. Quantitative
2.4.2.3. Advantages
2.4.2.4. Techniques
2.4.2.4.1. Interviews
2.4.2.4.2. Surveys
2.4.2.4.3. Focus Groups
2.4.2.4.4. Observational Research
2.4.2.4.5. Social Media Interactions
2.4.2.5. Stakeholders
2.4.2.5.1. Company Executives (CXOs)
2.4.2.5.2. Board of Directors
2.4.2.5.3. Company Presidents and Vice Presidents
2.4.2.5.4. Key Opinion Leaders
2.4.2.5.5. Research and Development Heads
2.4.2.5.6. Technical Experts
2.4.2.5.7. Subject Matter Experts
2.4.2.5.8. Scientists
2.4.2.5.9. Doctors and Other Healthcare Providers
2.4.2.6. Ethics and Integrity
2.4.2.6.1. Research Ethics
2.4.2.6.2. Data Integrity

2.4.3. Analytical Tools and Databases

3. MARKET DYNAMICS
3.1. Forecast Methodology
3.1.1. Top-Down Approach
3.1.2. Bottom-Up Approach
3.1.3. Hybrid Approach

3.2. Market Assessment Framework
3.2.1. Total Addressable Market (TAM)
3.2.2. Serviceable Addressable Market (SAM)
3.2.3. Serviceable Obtainable Market (SOM)
3.2.4. Currently Acquired Market (CAM)

3.3. Forecasting Tools and Techniques
3.3.1. Qualitative Forecasting
3.3.2. Correlation
3.3.3. Regression
3.3.4. Time Series Analysis
3.3.5. Extrapolation
3.3.6. Convergence
3.3.7. Forecast Error Analysis
3.3.8. Data Visualization
3.3.9. Scenario Planning
3.3.10. Sensitivity Analysis

3.4. Key Considerations
3.4.1. Demographics
3.4.2. Market Access
3.4.3. Reimbursement Scenarios
3.4.4. Industry Consolidation

3.5. Robust Quality Control
3.6. Key Market Segmentations
3.7. Limitations

4. MACRO-ECONOMIC INDICATORS
4.1. Chapter Overview
4.2. Market Dynamics
4.2.1. Time Period
4.2.1.1. Historical Trends
4.2.1.2. Current and Forecasted Estimates

4.2.2. Currency Coverage
4.2.2.1. Overview of Major Currencies Affecting the Market
4.2.2.2. Impact of Currency Fluctuations on the Industry

4.2.3. Foreign Exchange Impact
4.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
4.2.3.2. Strategies for Mitigating Foreign Exchange Risk

4.2.4. Recession
4.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
4.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market

4.2.5. Inflation
4.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
4.2.5.2. Potential Impact of Inflation on the Market Evolution

4.2.6. Interest Rates
4.2.6.1. Overview of Interest Rates and Their Impact on the Market
4.2.6.2. Strategies for Managing Interest Rate Risk

4.2.7. Commodity Flow Analysis
4.2.7.1. Type of Commodity
4.2.7.2. Origins and Destinations
4.2.7.3. Values and Weights
4.2.7.4. Modes of Transportation

4.2.8. Global Trade Dynamics
4.2.8.1. Import Scenario
4.2.8.2. Export Scenario

4.2.9. War Impact Analysis
4.2.9.1. Russian-Ukraine War
4.2.9.2. Israel-Hamas War

4.2.10. COVID Impact / Related Factors
4.2.10.1. Global Economic Impact
4.2.10.2. Industry-specific Impact
4.2.10.3. Government Response and Stimulus Measures
4.2.10.4. Future Outlook and Adaptation Strategies

4.2.11. Other Indicators
4.2.11.1. Fiscal Policy
4.2.11.2. Consumer Spending
4.2.11.3. Gross Domestic Product (GDP)
4.2.11.4. Employment
4.2.11.5. Taxes
4.2.11.6. R&D Innovation
4.2.11.7. Stock Market Performance
4.2.11.8. Supply Chain
4.2.11.9. Cross-Border Dynamics

SECTION II: QUALITATIVE INSIGHTS

5. EXECUTIVE SUMMARY

6. INTRODUCTION
6.1. Chapter Overview
6.2. Overview of Neuromorphic Computing Market
6.2.1. Type of Offering
6.2.2. Type of Application
6.2.3. Type of Deployment
6.2.4. Type of End User

6.3. Future Perspective

7. REGULATORY SCENARIO

SECTION III: MARKET OVERVIEW

8. COMPREHENSIVE DATABASE OF LEADING PLAYERS

9. COMPETITIVE LANDSCAPE
9.1. Chapter Overview
9.2. Neuromorphic Computing: Overall Market Landscape
9.2.1. Analysis by Year of Establishment
9.2.2. Analysis by Company Size
9.2.3. Analysis by Location of Headquarters
9.2.4. Analysis by Ownership Structure

10. WHITE SPACE ANALYSIS

11. COMPETITIVE COMPETITIVENESS ANALYSIS

12. STARTUP ECOSYSTEM IN THE NEUROMORPHIC COMPUTING MARKET
12.1. Neuromorphic Computing: Market Landscape of Startups
12.1.1. Analysis by Year of Establishment
12.1.2. Analysis by Company Size
12.1.3. Analysis by Company Size and Year of Establishment
12.1.4. Analysis by Location of Headquarters
12.1.5. Analysis by Company Size and Location of Headquarters
12.1.6. Analysis by Ownership Structure

12.2. Key Findings

SECTION IV: COMPANY PROFILES

13. COMPANY PROFILES
13.1. Chapter Overview
13.2. Accenture *
13.2.1. Company Overview
13.2.2. Company Mission
13.2.3. Company Footprint
13.2.4. Management Team
13.2.5. Contact Details
13.2.6. Financial Performance
13.2.7. Operating Business Segments
13.2.8. Service / Product Portfolio (project specific)
13.2.9. MOAT Analysis
13.2.10. Recent Developments and Future Outlook

* similar detail is presented for other below mentioned companies based on information in the public domain

13.3. BrainChip Holdings
13.4. Cadence Design Systems
13.5. CEA-Leti
13.6. General Vision
13.7. Gr AI Matter Labs
13.8. Hewlett Packard
13.9. HRL Laboratories
13.10. IBM
13.11. Innatera Nanosystems
13.12. Instar Robotics
13.13. Intel
13.14. Known
13.15. Koniku
13.16. Numenta
13.17. Qualcomm
13.18. Samsung Electronics
13.19. SK Hynix
13.20. NVIDIA
13.21. SynSense
13.22. Vicarious

SECTION V: MARKET TRENDS

14. MEGA TRENDS ANALYSIS

15. UNMEET NEED ANALYSIS

16. PATENT ANALYSIS

17. RECENT DEVELOPMENTS
17.1. Chapter Overview
17.2. Recent Funding
17.3. Recent Partnerships
17.4. Other Recent Initiatives

SECTION VI: MARKET OPPORTUNITY ANALYSIS

18. GLOBAL NEUROMORPHIC COMPUTING MARKET
18.1. Chapter Overview
18.2. Key Assumptions and Methodology
18.3. Trends Disruption Impacting Market
18.4. Demand Side Trends
18.5. Supply Side Trends
18.6. Global Neuromorphic Computing, Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)

18.7. Multivariate Scenario Analysis
18.7.1. Conservative Scenario
18.7.2. Optimistic Scenario

18.8. Investment Feasibility Index
18.9. Key Market Segmentations

19. MARKET OPPORTUNITIES BASED ON TYPE OF OFFERING
19.1. Chapter Overview
19.2. Key Assumptions and Methodology
19.3. Revenue Shift Analysis
19.4. Market Movement Analysis
19.5. Penetration-Growth (P-G) Matrix
19.6. Neuromorphic Computing Market for Hardware: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
19.7. Neuromorphic Computing Market for Software: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)

19.8. Data Triangulation and Validation
19.8.1. Secondary Sources
19.8.2. Primary Sources
19.8.3. Statistical Modeling

20. MARKET OPPORTUNITIES BASED ON TYPE OF APPLICATION
20.1. Chapter Overview
20.2. Key Assumptions and Methodology
20.3. Revenue Shift Analysis
20.4. Market Movement Analysis
20.5. Penetration-Growth (P-G) Matrix
20.6. Neuromorphic Computing Market for Data Processing: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
20.7. Neuromorphic Computing Market for Image Processing: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
20.8. Neuromorphic Computing Market for Object Processing: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
20.9. Neuromorphic Computing Market for Pattern Recognition: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
20.10. Neuromorphic Computing Market for Signal Processing: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
20.11. Neuromorphic Computing Market for Others: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)

20.12. Data Triangulation and Validation
20.12.1. Secondary Sources
20.12.2. Primary Sources
20.12.3. Statistical Modeling

21. MARKET OPPORTUNITIES BASED ON TYPE OF DEPLOYMENT
21.1. Chapter Overview
21.2. Key Assumptions and Methodology
21.3. Revenue Shift Analysis
21.4. Market Movement Analysis
21.5. Penetration-Growth (P-G) Matrix
21.6. Neuromorphic Computing Market for Cloud Computing: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
21.7. Neuromorphic Computing Market for Edge Computing: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)

21.8. Data Triangulation and Validation
21.8.1. Secondary Sources
21.8.2. Primary Sources
21.8.3. Statistical Modeling

22. MARKET OPPORTUNITIES BASED ON TYPE OF END USER
22.1. Chapter Overview
22.2. Key Assumptions and Methodology
22.3. Revenue Shift Analysis
22.4. Market Movement Analysis
22.5. Penetration-Growth (P-G) Matrix
22.6. Neuromorphic Computing Market for Automotive: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
22.7. Neuromorphic Computing Market for Consumer Electronics: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
22.8. Neuromorphic Computing Market for Healthcare: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
22.9. Neuromorphic Computing Market for Industrial: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
22.10. Neuromorphic Computing Market for IT & Telecom: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
22.11. Neuromorphic Computing Market for Military & Defense: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
22.12. Neuromorphic Computing Market for Retail: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
22.13. Neuromorphic Computing Market for Others: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)

22.14. Data Triangulation and Validation
22.14.1. Secondary Sources
22.14.2. Primary Sources
22.14.3. Statistical Modeling

23. MARKET OPPORTUNITIES FOR NEUROMORPHIC COMPUTING IN NORTH AMERICA
23.1. Chapter Overview
23.2. Key Assumptions and Methodology
23.3. Revenue Shift Analysis
23.4. Market Movement Analysis
23.5. Penetration-Growth (P-G) Matrix

23.6. Neuromorphic Computing Market in North America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
23.6.1. Neuromorphic Computing Market in the US: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
23.6.2. Neuromorphic Computing Market in Canada: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
23.6.3. Neuromorphic Computing Market in Mexico: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
23.6.4. Neuromorphic Computing Market in Other North American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)

23.7. Data Triangulation and Validation

24. MARKET OPPORTUNITIES FOR NEUROMORPHIC COMPUTING IN EUROPE
24.1. Chapter Overview
24.2. Key Assumptions and Methodology
24.3. Revenue Shift Analysis
24.4. Market Movement Analysis
24.5. Penetration-Growth (P-G) Matrix

24.6. Neuromorphic Computing Market in Europe: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
24.6.1. Neuromorphic Computing Market in Austria: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
24.6.2. Neuromorphic Computing Market in Belgium: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
24.6.3. Neuromorphic Computing Market in Denmark: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
24.6.4. Neuromorphic Computing Market in France: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
24.6.5. Neuromorphic Computing Market in Germany: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
24.6.6. Neuromorphic Computing Market in Ireland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
24.6.7. Neuromorphic Computing Market in Italy: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
24.6.8. Neuromorphic Computing Market in Netherlands: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
24.6.9. Neuromorphic Computing Market in Norway: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
24.6.10. Neuromorphic Computing Market in Russia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
24.6.11. Neuromorphic Computing Market in Spain: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
24.6.12. Neuromorphic Computing Market in Sweden: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
24.6.13. Neuromorphic Computing Market in Sweden: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
24.6.14. Neuromorphic Computing Market in Switzerland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
24.6.15. Neuromorphic Computing Market in the UK: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
24.6.16. Neuromorphic Computing Market in Other European Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)

24.7. Data Triangulation and Validation

25. MARKET OPPORTUNITIES FOR NEUROMORPHIC COMPUTING AI IN ASIA
25.1. Chapter Overview
25.2. Key Assumptions and Methodology
25.3. Revenue Shift Analysis
25.4. Market Movement Analysis
25.5. Penetration-Growth (P-G) Matrix

25.6. Neuromorphic Computing Market in Asia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
25.6.1. Neuromorphic Computing Market in China: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
25.6.2. Neuromorphic Computing Market in India: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
25.6.3. Neuromorphic Computing Market in Japan: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
25.6.4. Neuromorphic Computing Market in Singapore: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
25.6.5. Neuromorphic Computing Market in South Korea: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
25.6.6. Neuromorphic Computing Market in Other Asian Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)

25.7. Data Triangulation and Validation

26. MARKET OPPORTUNITIES FOR NEUROMORPHIC COMPUTING IN MIDDLE EAST AND NORTH AFRICA (MENA)
26.1. Chapter Overview
26.2. Key Assumptions and Methodology
26.3. Revenue Shift Analysis
26.4. Market Movement Analysis
26.5. Penetration-Growth (P-G) Matrix

26.6. Neuromorphic Computing Market in Middle East and North Africa (MENA): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
26.6.1. Neuromorphic Computing Market in Egypt: Historical Trends (Since 2019) and Forecasted Estimates (Till 205)
26.6.2. Neuromorphic Computing Market in Iran: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
26.6.3. Neuromorphic Computing Market in Iraq: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
26.6.4. Neuromorphic Computing Market in Israel: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
26.6.5. Neuromorphic Computing Market in Kuwait: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
26.6.6. Neuromorphic Computing Market in Saudi Arabia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
26.6.7. Neuromorphic Computing Marke in United Arab Emirates (UAE): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
26.6.8. Neuromorphic Computing Market in Other MENA Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)

26.7. Data Triangulation and Validation

27. MARKET OPPORTUNITIES FOR NEUROMORPHIC COMPUTING IN LATIN AMERICA
27.1. Chapter Overview
27.2. Key Assumptions and Methodology
27.3. Revenue Shift Analysis
27.4. Market Movement Analysis
27.5. Penetration-Growth (P-G) Matrix

27.6. Neuromorphic Computing Market in Latin America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
27.6.1. Neuromorphic Computing Market in Argentina: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
27.6.2. Neuromorphic Computing Market in Brazil: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
27.6.3. Neuromorphic Computing Market in Chile: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
27.6.4. Neuromorphic Computing Market in Colombia Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
27.6.5. Neuromorphic Computing Market in Venezuela: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
27.6.6. Neuromorphic Computing Market in Other Latin American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)

27.7. Data Triangulation and Validation

28. MARKET OPPORTUNITIES FOR NEUROMORPHIC COMPUTING IN REST OF THE WORLD
28.1. Chapter Overview
28.2. Key Assumptions and Methodology
28.3. Revenue Shift Analysis
28.4. Market Movement Analysis
28.5. Penetration-Growth (P-G) Matrix

28.6. Neuromorphic Computing Market in Rest of the World: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
28.6.1. Neuromorphic Computing Market in Australia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
28.6.2. Neuromorphic Computing Market in New Zealand: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
28.6.3. Neuromorphic Computing Market in Other Countries

28.7. Data Triangulation and Validation

29. MARKET CONCENTRATION ANALYSIS: DISTRIBUTION BY LEADING PLAYERS
29..1. Leading Player 1
29..2. Leading Player 2
29..3. Leading Player 3
29..4. Leading Player 4
29..5. Leading Player 5
29..6. Leading Player 6
29..7. Leading Player 7
29..8. Leading Player 8

30. ADJACENT MARKET ANALYSIS

SECTION VII: STRATEGIC TOOLS

31. KEY WINNING STRATEGIES

32. PORTER FIVE FORCES ANALYSIS

33. SWOT ANALYSIS

34. VALUE CHAIN ANALYSIS

35. ROOTS STRATEGIC RECOMMENDATIONS
35.1. Chapter Overview
35.2. Key Business-related Strategies
35.2.1. Research & Development
35.2.2. Product Manufacturing
35.2.3. Commercialization / Go-to-Market
35.2.4. Sales and Marketing

35.3. Key Operations-related Strategies
35.3.1. Risk Management
35.3.2. Workforce
35.3.3. Finance
35.3.4. Others

SECTION VIII: OTHER EXCLUSIVE INSIGHTS

36. INSIGHTS FROM PRIMARY RESEARCH

37. REPORT CONCLUSION

SECTION IX: APPENDIX

38. TABULATED DATA

39. LIST OF COMPANIES AND ORGANIZATIONS

40. CUSTOMIZATION OPPORTUNITIES

41. ROOTS SUBSCRIPTION SERVICES

42. AUTHOR DETAILS