Research Methodology – Neuromorphic Computing Market
At Straits Research, we adopt a rigorous 360° research approach that integrates both primary and secondary research methodologies. This ensures accuracy, reliability, and actionable insights for stakeholders. Our methodology for the Neuromorphic Computing Market comprises the following key stages:
Market Indicator & Macro-Factor Analysis
Our baseline thesis for the Neuromorphic Computing Market is developed by integrating key market indicators and macroeconomic variables. These include:
1 Factors considered while calculating market size and share:
- The total available customer base interested in neuromorphic computing
- The present competition in the neuromorphic computing market
- The number and size of the companies operating in the neuromorphic computing field
- Market penetration rates
- Price and affordability of neuromorphic computing devices, software and solutions
- Technological advancement and innovation in the neuromorphic computing area
- Governmental regulations and policies influencing the market
- Potential market growth and expansion opportunities
- Historical, current and predicted future sales data of neuromorphic computing technologies
2 Key Market Indicators:
- Revenue growth in the neuromorphic computing market
- Change in market share over time
- Rate of new product or innovation introduction in the neuromorphic computing field
- Customer acquisition rates
- Customer retention rates
- Global and region-specific market size
- Increase or decrease in the manufacturing and selling of neuromorphic computing technologies per time period
3 Growth Trends:
- Expected rise in demand due to increasing adoption of AI and machine learning technologies
- Increasing integration of neuromorphic computing in industries like healthcare, surveillance, automotive, etc.
- Rising investment in research and development activities by key market players
- Technological advancements driving the increasing affordability and accessibility of neuromorphic computing technologies
- Growth in IoT, data storage, and data processing requirements boosting the demand for neuromorphic computing
Secondary Research
Our secondary research forms the foundation of market understanding and scope definition. We collect and analyze information from multiple reliable sources to map the overall ecosystem of the Neuromorphic Computing Market. Key inputs include:
Company-Level Information
- Annual reports, investor presentations, SEC filings
- Company press releases and product launch announcements
- Public executive interviews and earnings calls
- Strategy briefings and M&A updates
Industry and Government Sources
- Country-level industry associations and trade bodies
- Government dossiers, policy frameworks, and official releases
- Whitepapers, working papers, and public R&D initiatives
- Relevant Associations for the Neuromorphic Computing Market
Market Intelligence Sources
- Broker reports and financial analyst coverage
- Paid databases (Hoovers, Factiva, Refinitiv, Reuters, Statista, etc.)
- Import/export trade data and tariff databases
- Sector-specific journals, magazines, and news portals
Macro & Consumer Insights
- Global macroeconomic indicators and their cascading effect on the industry
- Demand–supply outlook and value chain analysis
- Consumer behaviour, adoption rates, and commercialization trends
Primary Research
To validate and enrich our secondary findings, we conduct extensive primary research with industry stakeholders across the value chain. This ensures we capture both qualitative insights and quantitative validation. Our primary research includes:
Expert Insights & KOL Engagements
- Key Opinion Leader (KOL) Engagements
- Structured interviews with executives, product managers, and domain experts
- Paid and barter-based interviews across manufacturers, distributors, and end-users
Focused Discussions & Panels
- Discussions with stakeholders to validate demand-supply gaps
- Group discussions on emerging technologies, regulatory shifts, and adoption barriers
Data Validation & Business POV
- Cross-verification of market sizing and forecasts with industry insiders
- Capturing business perspectives on growth opportunities and restraints
Data Triangulation & Forecasting
The final step of our research involves data triangulation ensuring accuracy through cross-verification of:
- Demand-side analysis (consumption patterns, adoption trends, customer spending)
- Supply-side analysis (production, capacity, distribution, and market availability)
- Macroeconomic & microeconomic impact factors
Forecasting is carried out using proprietary models that combine:
- Time-series analysis
- Regression and correlation studies
- Baseline modeling
- Expert validation at each stage
Outcome
The outcome is a comprehensive and validated market model that captures:
- Market sizing (historical, current, forecast)
- Growth drivers and restraints
- Opportunity mapping and investment hotspots
- Competitive positioning and strategic insights